diff --git a/content/en/ada.md b/content/en/ada.md
index f94ac3db..679b6f10 100644
--- a/content/en/ada.md
+++ b/content/en/ada.md
@@ -9,7 +9,7 @@ title: "Australian Data Archive using Harmony for questionnaire harmonisation"
 {{</ htmlcode >}}
 
 
-The [Australian Data Archive (ADA)](https://ada.edu.au/) is a national service for the collection and preservation of digital research data, similar to the [UK Data Archive (UKDA)](https://www.data-archive.ac.uk/).
+The [Australian Data Archive (ADA)](https://ada.edu.au/) is a national service for the collection and preservation of digital [research data](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research/), similar to the [UK Data Archive (UKDA)](https://www.data-archive.ac.uk/).
 
 The ADA provides data access through the [ADA Dataverse](https://dataverse.ada.edu.au/). The collection includes polls on housing conditions in Australian states, political views over time across the country, questions about employment or health, and other datasets that the ADA has collected over the years (such as the Australian election study).
 
diff --git a/content/en/ai-in-mental-health.md b/content/en/ai-in-mental-health.md
index 574fc165..1dd41e35 100644
--- a/content/en/ai-in-mental-health.md
+++ b/content/en/ai-in-mental-health.md
@@ -21,8 +21,8 @@ We have recently published a paper in BMC Psychiatry validating Harmony for real
 
 Beyond Harmony, AI is being used in a wide range of mental health research applications:
 
-* **Predictive Modelling:** AI algorithms can analyze large datasets to identify patterns and predict future outcomes, such as the likelihood of a relapse or the effectiveness of a particular treatment.
-* **Natural Language Processing:** NLP tools can analyze text data, such as social media posts or clinical notes, to gain insights into mental health conditions and identify potential risk factors.
+* **Predictive Modelling:** AI algorithms can analyse large datasets to identify patterns and predict future outcomes, such as the likelihood of a relapse or the effectiveness of a particular treatment.
+* **Natural Language Processing:** NLP tools can analyse text data, such as social media posts or clinical notes, to gain insights into mental health conditions and identify potential risk factors.
 * **Machine Learning:** Machine learning algorithms can be trained on vast amounts of data to develop models that can diagnose mental health conditions with greater accuracy than traditional methods.
 * **Virtual Reality:** AI-powered virtual reality experiences can be used to simulate real-world situations and provide exposure therapy for conditions like anxiety and phobias.
 
diff --git a/content/en/blog/ai-meetup.md b/content/en/blog/ai-meetup.md
index 306eae0a..6474fe6d 100644
--- a/content/en/blog/ai-meetup.md
+++ b/content/en/blog/ai-meetup.md
@@ -17,7 +17,7 @@ url: "/psychology-ai-tool/aicamp-meetup/"
 
 We're pleased to announce that the [AI tool](/psychology-ai-tool/) **Harmony** will be showcased at the upcoming **AICamp AI Meetup in London** on **27 March**.
 
-You are invited to AICamp's monthly in-person AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers
+You are invited to AICamp's monthly in-person AI meetup in London. Join us for deep dive tech talks on AI, [GenAI, LLMs](/nlp-semantic-text-matching/how-does-harmony-work/) and machine learning, food/drink, networking with speakers and fellow developers
 
 Topic: Harmony, Open source AI tool for psychology research
 
@@ -29,7 +29,7 @@ Date: **27 March 2024**
 
 {{< image src="/images/20240327-thomas-wood-ai-camp-harmony.jpg" alt="Thomas Wood presenting Harmony at AI Camp on 27 March 2024" title="Thomas Wood presenting Harmony at AI Camp on 27 March 2024" >}}
 
-Abstract: In this talk, Thomas will discuss AI for social sciences research and how to build a research tool with NLP and AI with open source tool Harmony, funded by [Wellcome Trust](https://wellcome.org) with [Social Finance](https://www.socialfinance.org.uk/) and developed with [Ulster University](https://ulster.ac.uk), [UCL](https://ucl.ac.uk) and [Universidade Federal de Santa Maria in Brazil](https://ufsm.br).
+Abstract: In this talk, Thomas will discuss [AI for social sciences research](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research/) and how to build a research tool with NLP and AI with [open source tool Harmony](/how-can-i-contribute-to-an-open-source-project/), funded by [Wellcome Trust](https://wellcome.org) with [Social Finance](https://www.socialfinance.org.uk/) and developed with [Ulster University](https://ulster.ac.uk), [UCL](https://ucl.ac.uk) and [Universidade Federal de Santa Maria in Brazil](https://ufsm.br).
 
 {{< card heading="Attend" copy="Sign up on AICamp website" url="https://www.aicamp.ai/event/eventdetails/W2024032710" >}}
 
@@ -58,3 +58,15 @@ Hugo Bowne-Anderson from [Outerbounds](https://outerbounds.com/) will also prese
 This follows on from the talk on Harmony given by Bettina Moltrecht, PhD last week at [OpenUK](https://openuk.uk/).
 
 **[Register now](https://www.aicamp.ai/event/eventdetails/W2024032710) and be a part of this exciting event!**
+
+
+
+## See other Harmony events
+
+
+* 8 October 2024: [Harmony: a free online tool using LLMs for research in psychology and social sciences](/psychology-ai-tool/aidl-meetup/)  at AI|DL London
+* 11 and 12 September 2024: [Harmony at MethodsCon Futures](/ai-in-mental-health/harmony-at-methodscon-futures/
+) in Manchester
+* 2 July 2024: [Harmony: NLP and generative models for psychology research](/psychology-ai-tool/pydata-meetup/)  at Pydata London
+* 3 June 2024: [Harmony Hackathon](/hackathon/) at UCL
+* 5 May 2024: [Harmony: A global platform for harmonisation, translation and cooperation in mental health](/ai-in-mental-health/harmony-at-lifecourse-seminar/) at  Melbourne Children’s LifeCourse Initiative seminar series.
diff --git a/content/en/blog/aidl-meetup.md b/content/en/blog/aidl-meetup.md
index 963c1d2f..bd84cdd7 100644
--- a/content/en/blog/aidl-meetup.md
+++ b/content/en/blog/aidl-meetup.md
@@ -19,9 +19,9 @@ Topic: **Harmony: a free online tool using LLMs for research in psychology and s
 
 Speaker: [Thomas Wood](https://freelancedatascientist.net/) ([Fast Data Science](https://fastdatascience.com/))
 
-Description: Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a [free online tool](/psychology-ai-tool/) that uses generative AI and LLMs to help researchers compare items in questionnaires such as [GAD-7](/compare-harmonise-instruments/gad-7-vs-sdq/) (used to measure anxiety), even when they are written in different languages. Harmony is open source under [MIT License](https://github.com/harmonydata/harmony/blob/main/LICENSE) and is written in Python, and uses [HuggingFace Sentence Transformers](/measuring-the-performance-of-nlp-algorithms/) to find similarities between questionnaires.
+Description: Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a [free online tool](/psychology-ai-tool/) that uses generative AI and LLMs to help researchers compare items in questionnaires such as [GAD-7](/compare-harmonise-instruments/gad-7-vs-sdq/) (used to measure anxiety), even when they are [written in different languages](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/). Harmony is open source under [MIT License](https://github.com/harmonydata/harmony/blob/main/LICENSE) and is written in Python, and uses [HuggingFace Sentence Transformers](/measuring-the-performance-of-nlp-algorithms/) to find similarities between questionnaires.
 
-[Harmony Discovery](/discovery/) will soon allow researchers to discover datasets using a vector search.
+[Harmony Discovery](/discovery/) will soon allow researchers to discover datasets using a [vector search](/nlp-semantic-text-matching/how-does-harmony-work/).
 
 ## Where and where to find the AI|DL AI Meetup
 
@@ -56,17 +56,17 @@ The AI|DL AI meetup is sponsored by [Daemon](https://www.dae.mn/).
 
 07:10pm - Thomas Wood, Director of [Fast Data Science](https://fastdatascience.com/) [Project Harmony: a free online tool using LLMs for research in psychology and social sciences](https://fastdatascience.com/ai-in-research/aidl-meetup/)
 
-Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a free online tool that uses generative AI and LLMs to help researchers compare items in questionnaires such as GAD-7 (used to measure anxiety), even when they are written in different languages. Harmony is open source under MIT License and is written in Python, and uses [HuggingFace Sentence Transformers](/measuring-the-performance-of-nlp-algorithms/) to find similarities between questionnaires. Harmony will soon allow researchers to discover datasets using a vector search.
+[Thomas Wood](https://fastdatascience.com/team/) will present our work on Harmony (harmonydata.ac.uk), which is a [free online tool](/psychology-ai-tool/) that uses generative AI and LLMs to help researchers compare items in questionnaires such as [GAD-7](https://harmonydata.ac.uk/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory/) (used to measure [anxiety](/discover-data/anxiety-datasets-and-studies/)), even when they are written in [different languages](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/). Harmony is [open source](/how-can-i-contribute-to-an-open-source-project/) under MIT License and is written in Python, and uses [HuggingFace Sentence Transformers](/measuring-the-performance-of-nlp-algorithms/) to find similarities between questionnaires. Harmony will soon allow researchers to discover datasets using a vector search.
 
 07:50pm - Break
 
 08:00 - Vikram Haridas, Lead Product Manager at Groupon "Implementing AI-Driven Product Innovations: Strategic Insights and Practical Applications"
 
-Vikram Haridas, from Groupon, will reveal how AI can supercharge product roadmaps. Learn how to balance excitement with realism as you scale AI features and discover practical use cases. Get insights into Groupon's success with AI-powered deal optimization and automated merchant onboarding, and learn how to implement these strategies in your own business.
+Vikram Haridas, from Groupon, will reveal how AI can supercharge product roadmaps. Learn how to balance excitement with realism as you scale AI features and discover practical use cases. Get insights into Groupon's success with AI-powered deal optimisation and automated merchant onboarding, and learn how to implement these strategies in your own business.
 
 08:40 - Shubhangi Goyal, Data Analyst @ ICS.AI Ltd and Nidhi Agrawal Director @UBS, "Generative AI and its use cases"
 
-Our session will explore the transformative potential of Generative AI, focusing on its use cases in matching algorithms and its applications in the financial industry. We'll dive into how AI models enhance person-matching processes by analyzing large datasets for customer service, and personalization. Additionally, we’ll examine how Generative AI is revolutionising the financial sector.
+Our session will explore the transformative potential of Generative AI, focusing on its use cases in matching algorithms and its applications in the [financial industry](https://fastdatascience.com/ai-in-finance/). We'll dive into how AI models enhance person-matching processes by analysing large datasets for [customer service](/data-harmonisation/data-standardisation-vs-harmonisation/), and personalisation. Additionally, we’ll examine how Generative AI is revolutionising the financial sector.
 
 09:10pm - Wrap up, drinks at Angel London
 
@@ -83,5 +83,5 @@ Our session will explore the transformative potential of Generative AI, focusing
 ) in Manchester
 * 2 July 2024: [Harmony: NLP and generative models for psychology research](/psychology-ai-tool/pydata-meetup/)  at Pydata London
 * 3 June 2024: [Harmony Hackathon](/hackathon/) at UCL
-* 5 May 2024: [Harmony: A global platform for harmonisation, translation and cooperation in mental health](/harmony-at-lifecourse-seminar/) at  Melbourne Children’s LifeCourse Initiative seminar series.
-* 27 March 2024: [Harmony at AI Camp](/upcoming-tech-talk-at-aicamp-meetup/)
+* 5 May 2024: [Harmony: A global platform for harmonisation, translation and cooperation in mental health](/ai-in-mental-health/harmony-at-lifecourse-seminar/) at  Melbourne Children’s LifeCourse Initiative seminar series.
+* 27 March 2024: [Harmony at AI Camp](/psychology-ai-tool/aicamp-meetup/)
diff --git a/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md b/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md
index d47bb934..2c19f2ea 100644
--- a/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md
+++ b/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md
@@ -29,7 +29,7 @@ An alternative approach is to apply retrospective harmonisation at the item-leve
 
 {{< image src="images/blog/blog-pic-1.png" alt="img" >}}
 
-By identifying, recoding, and testing the equivalence of subsets of [items](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology) from different questionnaires (for guidelines see our previous report), researchers can derive harmonised sub-scales that are directly comparable across studies. Our group has previously used this approach to study trends in mental health across different generations (Gondek et al., 2021), and examine how socio-economic deprivation impacted adolescent mental health across different [cohorts](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research) (McElroy et al., 2022).
+By identifying, recoding, and testing the equivalence of subsets of [items](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology) from different questionnaires (for guidelines see our previous report), researchers can derive harmonised sub-scales that are directly comparable across studies. Our group has previously used this approach to study [trends in mental health](/ai-in-mental-health/) across different generations (Gondek et al., 2021), and examine how socio-economic deprivation impacted adolescent mental health across different [cohorts](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research) (McElroy et al., 2022).
 
 One of the main challenges to retrospectively harmonising questionnaire data is identifying the specific items that are comparable across the measures. In the above example, we used expert opinion to match candidate items based on their content, and used psychometric tests to determine how plausible it was to assume that matched items were directly comparable. Although our results were promising, this process was time-consuming, and the reliance on expert opinion introduces an element of human [bias](https://fastdatascience.com/how-can-we-eliminate-bias-from-ai-algorithms-the-pen-testing-manifesto) – i.e. different experts may disagree on which items match. As such, we are currently working on a [project](https://fastdatascience.com/starting-a-data-science-project) supported by [Wellcome](/ai-in-mental-health/radio-podcast-about-wellcome-data-prize/), in which we aim to develop an online tool, ‘Hamony’, that uses machine learning to help researchers match items from different questionnaires based on their underlying meaning. Our overall aim is to streamline and add consistency and replicability to the harmonisation process. We plan to test the utility of this tool by using it to harmonise measures of mental health and social connectedness across two cohort of young people from the UK and and Brazil.
 
diff --git a/content/en/blog/bmc-paper.md b/content/en/blog/bmc-paper.md
index cd31c119..5d50268c 100644
--- a/content/en/blog/bmc-paper.md
+++ b/content/en/blog/bmc-paper.md
@@ -29,7 +29,7 @@ By comparing the semantic similarity of questionnaire items using NLP (the [Sent
 
 While the NLP model showed promise in uncovering underlying patterns in the data, it required manual intervention to determine which relationships were truly relevant. 
 
-Our study showed that NLP can be a useful tool to match similar questions from different questionnaires, but it's not perfect and should be used with caution.
+Our study showed that NLP can be a useful tool to match [similar questions from different questionnaires](/data-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/), but it's not perfect and should be used with caution.
 
 ## Citing the BMC validation paper
 
diff --git a/content/en/blog/clinical-trial-research-data-harmonisation.md b/content/en/blog/clinical-trial-research-data-harmonisation.md
index e0f7997e..4b6027d8 100644
--- a/content/en/blog/clinical-trial-research-data-harmonisation.md
+++ b/content/en/blog/clinical-trial-research-data-harmonisation.md
@@ -15,14 +15,14 @@ draft: true
 # Clinical trial and research data harmonisation principles
 
 
-In the realm of healthcare, clinical trials serve as the bedrock of evidence-based medicine, guiding decisions that affect patient care and public health policies. However, the effectiveness of these trials hinges on the quality and compatibility of the data they generate. The harmonisation of clinical research data emerges as a pivotal endeavor in ensuring the integrity and interpretability of trial [outcomes](/harmonisation-validation/medical-outcomes-survey-sleep-quality-subscale). In this blog post, we delve into the principles of clinical data harmonisation, exploring its significance in clinical trials and elucidating the strategies.
+In the realm of healthcare, clinical trials serve as the bedrock of evidence-based medicine, guiding decisions that affect patient care and public health policies. However, the effectiveness of these trials hinges on the quality and compatibility of the data they generate. The harmonisation of clinical research data emerges as a pivotal endeavour in ensuring the integrity and interpretability of trial [outcomes](/harmonisation-validation/medical-outcomes-survey-sleep-quality-subscale). In this blog post, we delve into the principles of clinical data harmonisation, exploring its significance in clinical trials and elucidating the strategies.
 
 
 
 
 ## Introduction
 
-Clinical trials and research data harmonisation principles are indispensable for fostering consistency and coherence in the realm of medical investigations. Through the standardization of data formats and models, such as CDISC's SDTM and ADaM, the integration of diverse datasets from multiple sites becomes seamless, promoting collective analysis. The establishment of common data elements (CDEs) and adherence to metadata standards mitigate discrepancies in data interpretation, enabling cross-study comparisons and meta-analyses.Collaborative initiatives, such as the OHDSI consortium, exemplify the power of collective resources and expertise in harmonising and analyzing large-scale healthcare data across institutions. Ethical and regulatory considerations remain integral, ensuring data harmonisation practices align with privacy regulations and ethical standards. Furthermore, [longitudinal](/item-harmonisation/harmony-a-free-ai-tool-to-merge-longitudinal-studies) data harmonisation efforts align data collection methods, time points, and variables, enabling meaningful analysis of trends and treatment effectiveness over time.The application of data harmonisation principles in clinical trials and research not only streamlines data management but also upholds ethical standards and facilitates comprehensive analyses crucial for advancing medical knowledge and improving patient outcomes.
+Clinical trials and research data harmonisation principles are indispensable for fostering consistency and coherence in the realm of medical investigations. Through the standardization of data formats and models, such as CDISC's SDTM and ADaM, the integration of diverse datasets from multiple sites becomes seamless, promoting collective analysis. The establishment of common data elements (CDEs) and adherence to metadata standards mitigate discrepancies in data interpretation, enabling cross-study comparisons and meta-analyses.Collaborative initiatives, such as the OHDSI consortium, exemplify the power of collective resources and expertise in harmonising and analysing large-scale healthcare data across institutions. Ethical and regulatory considerations remain integral, ensuring data harmonisation practices align with privacy regulations and ethical standards. Furthermore, [longitudinal](/item-harmonisation/harmony-a-free-ai-tool-to-merge-longitudinal-studies) data harmonisation efforts align data collection methods, time points, and variables, enabling meaningful analysis of trends and treatment effectiveness over time.The application of data harmonisation principles in clinical trials and research not only streamlines data management but also upholds ethical standards and facilitates comprehensive analyses crucial for advancing medical knowledge and improving patient outcomes.
 
 
 ## Understanding Clinical Data Harmonisation
@@ -41,17 +41,17 @@ Clinical data harmonisation plays a pivotal role in advancing clinical research
    - Standardizing data elements and definitions across trials is essential for ensuring consistency in measurements and assessments. Consistent data facilitates accurate comparisons between studies, allowing researchers to draw meaningful conclusions and make informed decisions. Without harmonisation, variations in data definitions and measurement units could lead to misinterpretations and compromises in the reliability of research outcomes.
 
 3. **Improving Data Quality:**
-   - Harmonisation acts as a quality assurance mechanism by identifying and rectifying discrepancies in data. By establishing standardized data elements and [validation](/harmonisation-validation/clinical-global-impression-of-change-cgic) processes, harmonisation contributes to enhanced data quality. High-quality data is imperative for the credibility of clinical research, ensuring that the results accurately reflect the true impact of medical interventions and interventions.
+   - Harmonisation acts as a quality assurance mechanism by identifying and rectifying discrepancies in data. By establishing standardised data elements and [validation](/harmonisation-validation/clinical-global-impression-of-change-cgic) processes, harmonisation contributes to enhanced data quality. High-quality data is imperative for the credibility of clinical research, ensuring that the results accurately reflect the true impact of medical interventions and interventions.
 
 4. **Enhancing Research Reproducibility:**
-   - Reproducibility is a cornerstone of scientific inquiry, and harmonised data sets the stage for more reproducible research. A clear and standardized framework for data analysis, achieved through harmonisation, enables researchers to replicate studies with confidence. Reproducible research is critical for validating study findings, building a robust scientific knowledge base, and instilling confidence in the broader scientific community.
+   - Reproducibility is a cornerstone of scientific inquiry, and harmonised data sets the stage for more reproducible research. A clear and standardised framework for data analysis, achieved through harmonisation, enables researchers to replicate studies with confidence. Reproducible research is critical for validating study findings, building a robust scientific knowledge base, and instilling confidence in the broader scientific community.
 
-In essence, the importance of clinical data harmonisation lies in its ability to create a unified and standardized approach to data management in clinical trials. This not only streamlines collaboration and ensures the reliability of research outcomes but also contributes to the overall advancement of medical knowledge and the improvement of patient care. As the healthcare landscape continues to evolve, the adoption of harmonisation principles becomes increasingly crucial for researchers, institutions, and stakeholders committed to driving progress in clinical research.
+In essence, the importance of clinical data harmonisation lies in its ability to create a unified and standardised approach to data management in clinical trials. This not only streamlines collaboration and ensures the reliability of research outcomes but also contributes to the overall advancement of medical knowledge and the improvement of patient care. As the healthcare landscape continues to evolve, the adoption of harmonisation principles becomes increasingly crucial for researchers, institutions, and stakeholders committed to driving progress in clinical research.
 
 
 ## The Significance of Data Harmonisation in Clinical Research
 
-Data harmonisation in clinical research is pivotal for advancing scientific knowledge, clinical practice, and patient outcomes. By aligning and standardizing data across diverse sources, harmonisation enables comprehensive meta-analyses and systematic reviews, fostering evidence synthesis and informed decision-making. Furthermore, it promotes transparency, efficiency, and innovation within the scientific community, encouraging collaboration and data sharing. This collaborative approach not only enhances the reliability of research outcomes but also accelerates the pace of discovery. Additionally, harmonised datasets empower clinicians and policymakers to derive actionable insights, optimize treatment strategies, and implement evidence-based interventions tailored to diverse patient populations. In essence, data harmonisation emerges as a cornerstone for the integration of information, driving advancements that benefit both research and patient care.
+Data harmonisation in clinical research is pivotal for advancing scientific knowledge, clinical practice, and patient outcomes. By aligning and standardizing data across diverse sources, harmonisation enables comprehensive meta-analyses and systematic reviews, fostering evidence synthesis and informed decision-making. Furthermore, it promotes transparency, efficiency, and innovation within the scientific community, encouraging collaboration and data sharing. This collaborative approach not only enhances the reliability of research outcomes but also accelerates the pace of discovery. Additionally, harmonised datasets empower clinicians and policymakers to derive actionable insights, optimise treatment strategies, and implement evidence-based interventions tailored to diverse patient populations. In essence, data harmonisation emerges as a cornerstone for the integration of information, driving advancements that benefit both research and patient care.
 
 
 ## Principles of Clinical Data Harmonisation
@@ -71,7 +71,7 @@ The Clinical Data Harmonisation Playbook, developed by the Center for Data to He
    - **Comprehensive Documentation:** The use of data dictionaries and other documentation tools ensures comprehensive coverage of data elements, mappings, and transformations. This documentation is essential for maintaining data quality and reproducibility.
 
 3. **Data Governance and Quality Assurance:**
-   - **Governance [Frameworks](/data-harmonisation-tools-frameworks):** Robust governance frameworks contribute to responsible and ethical data practices. Oversight of data harmonisation processes helps address regulatory compliance and minimizes risks related to privacy, security, and data integrity.
+   - **Governance [Frameworks](/data-harmonisation-tools-frameworks):** Robust governance frameworks contribute to responsible and ethical data practices. Oversight of data harmonisation processes helps address regulatory compliance and minimises risks related to privacy, security, and data integrity.
 
    - **Quality Assurance Checks:** Regular quality assurance checks and audits are essential for upholding data quality standards. These measures reduce the likelihood of errors, biases, and discrepancies, enhancing the reliability of harmonised datasets.
 
@@ -107,7 +107,7 @@ While the benefits of data harmonisation are clear, the process is not without i
    - Different institutions may use disparate technological platforms and tools for data collection and storage. Achieving technological compatibility is essential for successful data harmonisation.
 
 4. **Standardization Challenges:**
-   - Establishing standardized protocols for data collection, measurement, and reporting is a key aspect of harmonisation. However, reaching a consensus on these standards can be challenging, especially when dealing with diverse medical specialties and research domains.
+   - Establishing standardised protocols for data collection, measurement, and reporting is a key aspect of harmonisation. However, reaching a consensus on these standards can be challenging, especially when dealing with diverse medical specialties and research domains.
 
 5. **Temporal and Longitudinal Variability:**
    - Clinical data often span different time periods and may involve [longitudinal studies](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study). Managing temporal variability and ensuring the consistency of data over time present challenges in harmonisation, as data collection methods and technologies may evolve.
@@ -125,7 +125,7 @@ While the benefits of data harmonisation are clear, the process is not without i
    - Successful data harmonisation requires collaboration among various stakeholders, including researchers, clinicians, regulatory bodies, and patients. Ensuring active engagement and communication among these diverse groups is vital but can be logistically challenging.
 
 10. **Security Concerns:**
-    - Protecting sensitive health data from unauthorized access and maintaining data security throughout the harmonisation process is a paramount concern. Implementing robust security measures without hindering data sharing and collaboration adds an additional layer of complexity.
+    - Protecting sensitive health data from unauthorised access and maintaining data security throughout the harmonisation process is a paramount concern. Implementing robust security measures without hindering data sharing and collaboration adds an additional layer of complexity.
 
 Addressing these challenges in clinical data harmonisation requires a multidisciplinary approach involving experts in informatics, ethics, regulation, and clinical research. Continuous efforts to develop and refine harmonisation frameworks, guidelines, and best practices are essential for advancing the field and maximizing the benefits of integrated clinical data.
 
@@ -141,8 +141,8 @@ To illustrate the practical application of data harmonisation principles in clin
    - By leveraging common data models, vocabularies, and APIs, the NIH Data Commons facilitates interoperability and collaboration among researchers, accelerating scientific breakthroughs and precision medicine initiatives.
 
 2. **The Observational Health Data Sciences and Informatics (OHDSI) Collaborative:**
-   - The OHDSI collaborative is an international consortium of researchers and institutions dedicated to harmonising and analyzing real-world healthcare data to generate insights into disease outcomes, treatment effectiveness, and patient safety.
-   - Through the adoption of the OMOP Common Data Model (CDM) and standardized analytics tools, OHDSI enables researchers to conduct multi-site studies, comparative effectiveness research, and population health analyses across heterogeneous datasets.
+   - The OHDSI collaborative is an international consortium of researchers and institutions dedicated to harmonising and analysing real-world healthcare data to generate insights into disease outcomes, treatment effectiveness, and patient safety.
+   - Through the adoption of the OMOP Common Data Model (CDM) and standardised analytics tools, OHDSI enables researchers to conduct multi-site studies, comparative effectiveness research, and population health analyses across heterogeneous datasets.
 
 
 
diff --git a/content/en/blog/combining-multiple-survey-sources.md b/content/en/blog/combining-multiple-survey-sources.md
index 2951b3bb..20448b8d 100644
--- a/content/en/blog/combining-multiple-survey-sources.md
+++ b/content/en/blog/combining-multiple-survey-sources.md
@@ -33,7 +33,7 @@ Creating a comprehensive harmonises data from multiple survey sources is both an
 
 {{< image src="/images/Understanding Data Harmonisation.webp" alt="Understanding Data Harmonisation" title="Understanding Data Harmonisation" >}}
 
-Data harmonisation refers to the process of bringing together disparate data sources, standardizing variables and measures, to create a cohesive, comprehensive dataset that can be analyzed as a whole. This practice is pivotal in overcoming the inherent limitations of single-source data, enabling researchers to address broader questions with higher degrees of accuracy and detail. However, it's not without challenges—differences in survey design, data collection methodologies, and measurement scales can pose significant hurdles.
+Data harmonisation refers to the process of bringing together disparate data sources, standardizing variables and measures, to create a cohesive, comprehensive dataset that can be analysed as a whole. This practice is pivotal in overcoming the inherent limitations of single-source data, enabling researchers to address broader questions with higher degrees of accuracy and detail. However, it's not without challenges—differences in survey design, data collection methodologies, and measurement scales can pose significant hurdles.
 
 ---
 
@@ -45,7 +45,7 @@ Data harmonisation refers to the process of bringing together disparate data sou
 
 Before delving into best practices, it’s crucial to understand the landscape of survey data. With the proliferation of survey tools and platforms, organizations often collect data from multiple sources such as online surveys, in-person interviews, focus groups, and social media polls. While each source provides valuable information independently, combining data from these sources can offer a more comprehensive understanding of the target audience or market.
 
-However, integrating data from disparate survey sources poses several challenges, including data inconsistency, duplication, and formatting issues. This article serves as a roadmap for seamlessly integrating and analyzing data from multiple sources, ensuring coherence and accuracy in insights generation.
+However, integrating data from disparate survey sources poses several challenges, including data inconsistency, duplication, and formatting issues. This article serves as a roadmap for seamlessly integrating and analysing data from multiple sources, ensuring coherence and accuracy in insights generation.
 
 
 ## Best Practice 1: Establish Clear Objectives
@@ -53,7 +53,7 @@ However, integrating data from disparate survey sources poses several challenges
 Before merging data from multiple surveys, it’s crucial to define clear objectives. What are you aiming to achieve? Are you looking to increase engagement, boost brand awareness, or drive conversions? Setting clear goals will guide the data integration process, ensuring that the combined data serves a specific purpose.
 
 ### Tips for Setting Objectives:
-- **Review historical data** Analyze past performance to identify what worked, what didn't, and where there are opportunities for improvement. This can help in setting realistic and impactful objectives.
+- **Review historical data** analyse past performance to identify what worked, what didn't, and where there are opportunities for improvement. This can help in setting realistic and impactful objectives.
 - **Consult with stakeholders** Engage with key stakeholders across the organization to ensure that the objectives of integrating survey data align with broader business goals. This collaborative approach ensures buy-in and relevance across departments.
 - **Create SMART goals** Specific, Measurable, Achievable, Relevant, Time-bound goals are critical. They provide a clear roadmap and metrics for success, guiding the strategy with precision and purpose.
 
@@ -110,7 +110,7 @@ Leveraging advanced data integration techniques, such as data fusion and machine
 
 ## Best Practice 5: Use Meta-Data Effectively
 
-- **Metadata Analysis:** Analyze metadata such as collection dates, geographical information, and response rates to understand the context of each dataset.
+- **Metadata Analysis:** analyse metadata such as collection dates, geographical information, and response rates to understand the context of each dataset.
 - **Alignment:**  Ensure that metadata fields are consistent across datasets, facilitating easier integration and comparison.
 
 
@@ -154,7 +154,7 @@ The final step in combining survey sources is to translate the integrated insigh
 ### Leveraging Insights Effectively:
 - **Segment your audience**  Use combined data insights to segment your audience more accurately, allowing for more targeted and relevant data.
 - **Tailor content to audience preferences** Develop content that aligns with the preferences and pain points identified through data analysis, enhancing engagement and effectiveness.
-- **Monitor and adapt strategies** Continuously collect and analyze data to refine and adapt strategies, ensuring they remain aligned with audience needs and preferences.
+- **Monitor and adapt strategies** Continuously collect and analyse data to refine and adapt strategies, ensuring they remain aligned with audience needs and preferences.
 
 
 ## Best Practice 9: Choose the Right Tools
diff --git a/content/en/blog/contributing.md b/content/en/blog/contributing.md
index 83a4912a..357b0c03 100644
--- a/content/en/blog/contributing.md
+++ b/content/en/blog/contributing.md
@@ -42,12 +42,12 @@ There are lots of ways you can contribute to Harmony! You can work on code, impr
 
 * Write code
 * Improve unit tests or integration tests
-* Add new functionality to Harmony
-* Improve Harmony's documentation
+* Add [new functionality](/ideas/) to Harmony
+* Improve Harmony's [documentation](/nlp-semantic-text-matching/how-does-harmony-work/)
 * Add integrations to other LLMs or LLM providers such as OpenAI, IBM, or similar
-* Add integrations from your website to Harmony
-* Publicise Harmony in web forums such as Reddit, HuggingFace forum, Quora, or similar
-* Create example notebooks, such as Jupyter Notebook, RStudio, or Google Colab
+* Add integrations from your website to Harmony - [please read our guide on how to serialise an instrument and pass it to Harmony as a query string](/integrating-with-harmony/).
+* Publicise Harmony in web forums such as [Reddit](https://www.reddit.com/r/opensource/comments/18zq6cf/comment/kgmh3x7/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button), [HuggingFace forum](https://discuss.huggingface.co/t/open-source-psychology-project-using-hf-sentence-transformers/73174), Quora, or similar
+* Create example notebooks, such as [Jupyter Notebook](https://github.com/harmonydata/harmony/blob/main/Harmony_example_walkthrough.ipynb), [RStudio](/harmony_r_example.nb.html), or [Google Colab](https://colab.research.google.com/github/harmonydata/harmony/blob/main/Harmony_example_walkthrough.ipynb)
 * Investigate [bugs and issues in Harmony](https://github.com/harmonydata/harmony/issues)
 * Review and comment on [pull requests](https://github.com/harmonydata/harmony/pulls)
 * [Cite Harmony](/frequently-asked-questions/#how-do-i-cite-harmony) in your blogs, papers, and articles
@@ -56,15 +56,15 @@ There are lots of ways you can contribute to Harmony! You can work on code, impr
 
 ## Where do we need help in Harmony?
 
-In particular, the PDF extraction (converting PDFs to structured questionnaire items) is very hard and we have a separate Github repo with examples here: https://github.com/harmonydata/pdf-questionnaire-extraction
+In particular, the [PDF extraction](/data-harmonisation/extract-process-data-from-questionnaires/) (converting PDFs to structured questionnaire items) is very hard and we have a separate Github repo with examples here: https://github.com/harmonydata/pdf-questionnaire-extraction
 
-We are planning on running a hackathon focused on this aspect of the tool.
+We are planning on running a [hackathon](/hackathon) focused on this aspect of the tool.
 
 Also, other initiatives that could be really useful include:
 
 * Better handling of active vs passive voice in questionnaire items
-* Allowing Harmony to switch LLMs
-* Integration with other websites and tools
+* Allowing Harmony to [switch LLMs](/nlp-semantic-text-matching/measuring-the-performance-of-nlp-algorithms/)
+* Integration with other websites and tools (such as [via Harmony API](/releasing-harmony-api/), [discovering datasets from other sources](/discovery/), and [integrations allowing other tools to send instruments and data to Harmony](/integrating-with-harmony/).
 * An h-score: a similarity measure between instruments
 
 We started to make a new repo with training data to improve the PDF data processing. This repo has manually annotated training data:
@@ -75,7 +75,7 @@ One issue that would be really helpful would be, to handle active and passive vo
 
 Maybe a small task is easier to start with. Can you see any obvious bugs that you'd like to pick up?
 
-We’ve been looking at integrations with other data repositories. One way forward is to make an npm package other sites can install that makes it easy for them to send data over to the app. Or possibly just to interact with the API directly.
+We’ve been looking at integrations with other data repositories. One way forward is to make an npm package other sites can install that makes it easy for them to send data over to the app. Or possibly just to interact with [Harmony's API](/releasing-harmony-api/) directly.
 
 ## Raising issues and the issue tracker
 
@@ -90,7 +90,7 @@ The issue list is [in the Github repository](https://github.com/harmonydata/harm
 
 Harmony is mostly coded in Python. We use [Pycharm IDE](https://www.jetbrains.com/pycharm/) by JetBrains. Please ensure you are familiar with Python, [HuggingFace](https://huggingface.co/), and [FastAPI](https://fastapi.tiangolo.com/), or Javascript and [React](https://react.dev/) if you want to work on the front end.
 
-Please make sure all code you commit is linted using the [Pycharm default linter](https://www.reddit.com/r/pycharm/comments/mm77el/what_is_the_default_linter_in_pycharm/). If you use a different one (such as VS Code's linter, or pylint), this will make the code history hard to follow, so please be consistent.
+Please make sure all code you commit is [linted](https://stackoverflow.com/questions/8503559/what-is-linting) using the [Pycharm default linter](https://www.reddit.com/r/pycharm/comments/mm77el/what_is_the_default_linter_in_pycharm/). If you use a different one (such as VS Code's linter, or pylint), this will make the code history hard to follow, so please be consistent.
 
 ## Unit tests and code stability
 
@@ -100,7 +100,7 @@ The Harmony Python library [https://github.com/harmonydata/harmony](https://gith
 
 However, the Harmony API repo [https://github.com/harmonydata/harmonyapi](https://github.com/harmonydata/harmonyapi) uses the Harmony Python library as a submodule. When you update the Python library, please run the [unit tests and integration tests in the API repo](https://github.com/harmonydata/harmonyapi/tree/main/tests) to check nothing is broken - including the Selenium tests which test the browser app end to end. You will need to [install Selenium](https://selenium-python.readthedocs.io/) to run the tests.
 
-Since the API repo includes the Python library as a submodule, when you update the Python library, you will need to update the submodule (in the `harmonyapi` repo, `cd` into the submodule folder and do `git pull`, then `cd` out and do `git add`, commit and push). We recommend you [familiarise yourself with Git submodules](https://git-scm.com/book/en/v2/Git-Tools-Submodules).
+Since the API repo includes the Python library as a [submodule](https://git-scm.com/book/en/v2/Git-Tools-Submodules), when you update the Python library, you will need to update the submodule (in the `harmonyapi` repo, `cd` into the submodule folder and do `git pull`, then `cd` out and do `git add`, commit and push). We recommend you [familiarise yourself with Git submodules](https://git-scm.com/book/en/v2/Git-Tools-Submodules).
 
 Finally, the app repo [https://github.com/harmonydata/app](https://github.com/harmonydata/app) is the React front end. Please check you can run this repo locally also before you start contributing. To point the front end repo to a local copy of your API repo, please change the file [.env](https://github.com/harmonydata/app/blob/master/.env) to point to `http://localhost:8000`.
 
diff --git a/content/en/blog/data-harmonisation-examples-business.md b/content/en/blog/data-harmonisation-examples-business.md
index 7bdea535..70f9ab54 100644
--- a/content/en/blog/data-harmonisation-examples-business.md
+++ b/content/en/blog/data-harmonisation-examples-business.md
@@ -129,7 +129,7 @@ The Harmony Project is a community-driven initiative that flourishes with collec
 
 - **Coding and Quality Assurance:** Do you have coding skills in Python, R, or web development? Your skills could refine Harmony's features or interface. Spotting bugs and sharing your insights are also great ways to boost the tool's performance and user experience.
 - **Crafting Guides and How-Tos:** If you're good at breaking down complex processes into easy-to-follow steps, you could write guides, tutorials, or documentation. Your knowledge could help newcomers trying to navigate Harmony's capabilities.
-- **Breaking Language Barriers:** Harmony's mission of multilingual harmonisation means there's a need for translation experts. If you can translate the interface or docs, you're opening doors for non-English speakers to join the community.
+- **Breaking Language Barriers:** Harmony's mission of [multilingual](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) harmonisation means there's a need for translation experts. If you can translate the interface or docs, you're opening doors for non-English speakers to join the community.
 
 ### **Opportunities for the Research Community**
 
diff --git a/content/en/blog/data-harmonisation-healthcare.md b/content/en/blog/data-harmonisation-healthcare.md
index c082d4be..004efeda 100644
--- a/content/en/blog/data-harmonisation-healthcare.md
+++ b/content/en/blog/data-harmonisation-healthcare.md
@@ -48,7 +48,7 @@ In the realm of data harmonisation, the emphasis on quality over quantity cannot
 
 
 #### Role of Machine Learning and AI
-Machine learning and AI play a pivotal role in the cleaning and harmonising of data, making it more usable for predictive analytics. These technologies can automatically detect inconsistencies, outliers, and errors that would be time-consuming and challenging to identify manually. By employing advanced algorithms, AI can also suggest harmonisation strategies, such as normalization techniques and data transformation methods, to ensure that disparate data sources are compatible and can be analyzed together. This not only improves the quality of the data but also accelerates the harmonisation process, enabling researchers and clinicians to focus on deriving insights and making informed decisions.
+Machine learning and AI play a pivotal role in the cleaning and harmonising of data, making it more usable for predictive analytics. These technologies can automatically detect inconsistencies, outliers, and errors that would be time-consuming and challenging to identify manually. By employing advanced algorithms, AI can also suggest harmonisation strategies, such as normalization techniques and data transformation methods, to ensure that disparate data sources are compatible and can be analysed together. This not only improves the quality of the data but also accelerates the harmonisation process, enabling researchers and clinicians to focus on deriving insights and making informed decisions.
 
 
 ### Managing Volumes of Disparate Data
@@ -176,7 +176,7 @@ PEDSnet, a pediatric learning health system, aims to harmonise electronic health
 - **Common Data Model Adoption:** Adopt a common data model (CDM) that allows for the standardization of EHR data across different [hospital](/harmonisation-validation/hospital-anxiety-and-depression-scale-hads) systems, including demographics, diagnoses, procedures, medications, and outcomes.
 - **Data Transformation and Mapping:** Work with data analysts at each institution to map their local EHR data to the CDM, ensuring that data from different sources becomes comparable and analyzable.
 - **Quality Assurance Processes:** Implement continuous data quality checks to ensure the accuracy, completeness, and consistency of the harmonised data set.
-- **Data Sharing and Access Infrastructure:** Develop a secure infrastructure that allows researchers to access and analyze the harmonised data while protecting patient privacy and adhering to data use agreements.
+- **Data Sharing and Access Infrastructure:** Develop a secure infrastructure that allows researchers to access and analyse the harmonised data while protecting patient privacy and adhering to data use agreements.
 - **Engagement and Governance:** Establish a governance structure that includes representatives from all participating institutions, researchers, and patient advocacy groups to oversee the project and ensure its alignment with patient care improvement goals.
 
 These case studies provide tangible examples of how harmonisation efforts in healthcare can leverage real data to advance research, improve clinical care, and facilitate global collaboration. The BRCA Challenge and PEDSnet demonstrate the potential of harmonised data to impact patient care and outcomes significantly by enabling more informed research and clinical decisions.
@@ -264,7 +264,7 @@ The evolving landscape of data harmonisation will likely necessitate changes in
 
 ### The Potential Impact on Healthcare Efficiency and Equity
 
-The promise of data harmonisation extends beyond technological advancements, touching on key aspects of healthcare efficiency and equity. By making it easier to combine and analyze data from varied sources, harmonisation efforts can help identify and address disparities in healthcare access and outcomes. This can lead to more equitable healthcare systems where decisions are informed by comprehensive, high-quality data reflecting diverse patient populations.
+The promise of data harmonisation extends beyond technological advancements, touching on key aspects of healthcare efficiency and equity. By making it easier to combine and analyse data from varied sources, harmonisation efforts can help identify and address disparities in healthcare access and outcomes. This can lead to more equitable healthcare systems where decisions are informed by comprehensive, high-quality data reflecting diverse patient populations.
 
 Moreover, the efficiency gains from streamlined data processes can reduce healthcare costs and improve patient outcomes. As data harmonisation facilitates quicker, more accurate analyses, healthcare providers can make informed decisions faster, leading to better health outcomes and more efficient use of resources.
 
diff --git a/content/en/blog/data-harmonisation-marketing.md b/content/en/blog/data-harmonisation-marketing.md
index a872b098..663c7a2b 100644
--- a/content/en/blog/data-harmonisation-marketing.md
+++ b/content/en/blog/data-harmonisation-marketing.md
@@ -35,7 +35,7 @@ The benefits of data harmonisation in marketing are manifold, each playing a cru
 
 - **Efficiency and Cost Savings:** Data harmonisation streamlines data management processes by reducing the need for manual data cleaning and reconciliation. This not only saves time but also reduces the operational costs associated with managing disparate data sources. Efficiency gains also translate into faster time-to-market for marketing campaigns and the ability to quickly adjust strategies in response to market feedback.
 
-- **Competitive Advantage:** In a fast-paced market, the ability to quickly analyze data and act upon insights can provide a significant competitive edge. Companies with harmonised data can more swiftly identify trends, adapt to changing customer preferences, and deploy targeted marketing efforts. This agility enables them to stay ahead of competitors and capture market opportunities as they arise.
+- **Competitive Advantage:** In a fast-paced market, the ability to quickly analyse data and act upon insights can provide a significant competitive edge. Companies with harmonised data can more swiftly identify trends, adapt to changing customer preferences, and deploy targeted marketing efforts. This agility enables them to stay ahead of competitors and capture market opportunities as they arise.
 
 
 So, Data harmonisation is not merely a technical endeavor; it is a strategic imperative that underpins the success of modern marketing efforts. By ensuring data is consistent, comprehensive, and actionable, businesses can unlock new levels of customer engagement, operational efficiency, and market responsiveness, driving growth and competitive advantage in today’s data-driven economy.
@@ -61,7 +61,7 @@ To achieve harmonisation, it's essential to standardize the inputs across all da
 
 #### Centralizing Data Storage
 
-Centralizing data storage is another critical step towards harmonisation. A centralized repository ensures that data is stored in a single location, making it easier to access, analyze, and update. This centralization also ensures that any modifications to the data are reflected across all uses, maintaining data integrity and consistency across the organization.
+Centralizing data storage is another critical step towards harmonisation. A centralized repository ensures that data is stored in a single location, making it easier to access, analyse, and update. This centralization also ensures that any modifications to the data are reflected across all uses, maintaining data integrity and consistency across the organization.
 
 ### Implementation in Marketing
 
@@ -133,10 +133,10 @@ The path to achieving successful data harmonisation is both strategic and system
    Identify and acquire the necessary technologies and platforms that will support your data integration and analysis efforts. This may include data management platforms (DMPs), customer data platforms (CDPs), data integration tools, and advanced analytics software. The right technology stack is crucial for automating data collection, cleaning, integration, and analysis processes.
 
 3. **Establishing a Unified Data Framework:**
-   Develop a standardized framework for how data is collected, stored, processed, and analyzed across the organization. This includes defining standard data models, implementing data governance policies, and ensuring compliance with data privacy regulations.
+   Develop a standardized framework for how data is collected, stored, processed, and analysed across the organization. This includes defining standard data models, implementing data governance policies, and ensuring compliance with data privacy regulations.
 
 4. **Training and Empowering Teams:**
-   Conduct training sessions to upskill your marketing and data teams in handling and analyzing harmonised data. Encourage a culture of data-driven decision-making by empowering employees to leverage data insights in their roles.
+   Conduct training sessions to upskill your marketing and data teams in handling and analysing harmonised data. Encourage a culture of data-driven decision-making by empowering employees to leverage data insights in their roles.
 
 5. **Continuous Monitoring and Evaluation:**
    Data harmonisation is not a set-and-forget process. Regularly monitor the quality of your data, the effectiveness of your data integration tools, and the outcomes of your marketing campaigns. Evaluate the performance of your data harmonisation efforts against predefined metrics and KPIs, and be prepared to make adjustments as needed.
diff --git a/content/en/blog/data-harmonisation-steps-techniques-best-practices.md b/content/en/blog/data-harmonisation-steps-techniques-best-practices.md
index 4833d900..3d281f1d 100644
--- a/content/en/blog/data-harmonisation-steps-techniques-best-practices.md
+++ b/content/en/blog/data-harmonisation-steps-techniques-best-practices.md
@@ -23,7 +23,7 @@ Data harmonisation involves several key steps: preparing, transforming, and vali
 Before embarking on the data harmonisation journey, it's essential to grasp its significance and the challenges it aims to solve:
 
 - **Definition and Scope**: Data harmonisation is the process of bringing together data from different sources, aligning on common standards to ensure they are comparable and usable in analysis. 
-    - This process involves standardising data attributes, such as units of measurement, time zones, and terminologies, to create a unified data set that can be easily analyzed and interpreted. 
+    - This process involves standardising data attributes, such as units of measurement, time zones, and terminologies, to create a unified data set that can be easily analysed and interpreted. 
     - The scope of data harmonisation extends beyond mere data cleaning or transformation; it encompasses the establishment of common standards and practices to achieve interoperability among datasets.
 
 - **Importance**: It enhances data quality, facilitates interoperability, and supports comprehensive analytics, thereby driving informed decisions.
@@ -46,7 +46,7 @@ Before embarking on the data harmonisation journey, it's essential to grasp its
 
 - **Enhanced Data Quality:** Achieve cleaner, more consistent, and reliable data. Data harmonisation significantly improves the cleanliness, consistency, and reliability of data. By standardising data formats, units of measurement, and other variables, organisations can reduce errors and discrepancies that often arise from using data collected from various sources. This leads to a higher quality of data that is more dependable for analysis purposes.
 
-    - Reduces Ambiguity: Ensuring that data from different sources speaks the same "language" reduces ambiguity, making it easier to interpret and analyze.
+    - Reduces Ambiguity: Ensuring that data from different sources speaks the same "language" reduces ambiguity, making it easier to interpret and analyse.
     - Increases Accuracy: By aligning data to common standards, the accuracy of datasets is improved, which is crucial for analytics and reporting.
 
 - **Better Decision Making:** Unified data provides a more comprehensive view of the information, enabling organisations to conduct thorough analyses and gain deeper insights. This holistic perspective is critical for identifying trends, making predictions, and uncovering hidden patterns that would be difficult to discern using fragmented or siloed data.
diff --git a/content/en/blog/data-harmonisation.md b/content/en/blog/data-harmonisation.md
index 9cd22079..dfc7eb7a 100644
--- a/content/en/blog/data-harmonisation.md
+++ b/content/en/blog/data-harmonisation.md
@@ -1,6 +1,6 @@
 ---
 title: "What is data harmonisation - and why it matters in 2024"
-description: While this data can be a valuable asset, it often comes in different formats, structures, and standards, making it challenging to analyze, share, and extract meaningful insights. This is where the concept of **data harmonisation** comes into play. In this article, we will explore what data harmonisation is, why it is important, and how it can benefit organizations and society as a whole.
+description: While this data can be a valuable asset, it often comes in different formats, structures, and standards, making it challenging to analyse, share, and extract meaningful insights. This is where the concept of **data harmonisation** comes into play. In this article, we will explore what data harmonisation is, why it is important, and how it can benefit organizations and society as a whole.
 date: 2024-01-23
 categories: ["data"]
 image: "/images/02- What is data harmonisation - and why it matters in 2024.svg"
@@ -37,7 +37,7 @@ Imagine trying to compare financial reports from different countries, each using
 
 2. **Data Cleaning and Preprocessing**: This involves cleansing the data to ensure its quality. Common tasks include correcting errors, handling missing values, removing duplicates, and addressing outliers. Preprocessing also involves standardizing data, like ensuring consistent naming conventions and formats.
 
-3. **Data Transformation**: Here, data is converted into a standardized format or structure. This could involve changing data types, normalizing values (like converting all currencies to a standard currency), standardizing date formats, or [scaling measurements to a common unit](/data-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/). The goal is to ensure that data from different sources can be compared and analyzed together.
+3. **Data Transformation**: Here, data is converted into a standardized format or structure. This could involve changing data types, normalizing values (like converting all currencies to a standard currency), standardizing date formats, [tabulating the data](/data-harmonisation/tabulate-questionnaire-survey-result-data/),  or [scaling measurements to a common unit](/data-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/). The goal is to ensure that data from different sources can be compared and analysed together.
 
 4. **Data Integration**: In this step, the cleaned and transformed data from various sources is merged into a single, unified dataset. This involves aligning data schemas, resolving any conflicts in data structure or content, and ensuring that data from different sources correctly corresponds and aligns with each other.
 
@@ -54,7 +54,7 @@ Each of these steps is critical in the process of transforming diverse and dispa
 
 1. **Improved Data Quality**: Data harmonisation enhances the accuracy, consistency, and reliability of data. By cleaning and standardizing data, it reduces errors and discrepancies, ensuring that the data is trustworthy and valuable for decision-making. This improved quality is essential for any data-driven process, as it forms the foundation for reliable insights and conclusions.
 
-2. **Better Data Analysis**: Harmonised data enables more effective and comprehensive data analysis. Since the data from different sources is brought into a uniform format, it becomes easier to compare, contrast, and analyze. This leads to deeper insights, as data analysts and scientists can work with a cohesive dataset that provides a more complete picture.
+2. **Better Data Analysis**: Harmonised data enables more effective and comprehensive data analysis. Since the data from different sources is brought into a uniform format, it becomes easier to compare, contrast, and analyse. This leads to deeper insights, as data analysts and scientists can work with a cohesive dataset that provides a more complete picture.
 
 3. **Time and Cost Efficiency**: Harmonisation automates and streamlines the process of integrating data from various sources, reducing the need for manual data cleaning and adjustments. This efficiency saves significant amounts of time and resources, making data management processes more cost-effective and less labor-intensive.
 
@@ -108,7 +108,7 @@ Let's explore this need further in various sectors:
 
 4. **Governmental and Public Policy Analysis**: Governments need to harmonise data across various departments (such as health, education, and transportation) to make [informed policy decisions](/data-harmonisation/data-harmonisation-in-public-sector/). Disparate data systems between local, regional, and national levels make it difficult to assess the overall situation and implement effective policies.
 
-5. **Financial Markets and Economic Research**: Investors and economists analyze data from different markets and economies. Discrepancies in financial reporting standards, currency values, and economic indicators can lead to misunderstandings and poor decision-making. Harmonised data enables better comparison and understanding of global economic trends.
+5. **Financial Markets and Economic Research**: Investors and economists analyse data from different markets and economies. Discrepancies in financial reporting standards, currency values, and economic indicators can lead to misunderstandings and poor decision-making. Harmonised data enables better comparison and understanding of global economic trends.
 
 6. **Technology and Data Science**: With the growing field of big data and AI, harmonised data is fundamental for training machine learning models. Diverse data sources must be standardized to ensure that these models are accurate and unbiased.
 
diff --git a/content/en/blog/extract-process-data.md b/content/en/blog/extract-process-data.md
index 52cf76d5..f810813b 100644
--- a/content/en/blog/extract-process-data.md
+++ b/content/en/blog/extract-process-data.md
@@ -1,9 +1,14 @@
 ---
 title: How to Extract and Process Data from Questionnaires
-description: Discover Harmony's role in transforming questionnaire data into actionable insights – enhance data quality and interoperability for researchers.
+description: "Maximising Data Insights with Harmony: The Future of Questionnaire Analysis"
 date: 2024-05-20
 categories: ["data"]
 image: "/images/13- How to extract and process data from questionnaires.svg"
+
+aliases:
+  - "/how-to-extract-and-process-data-from-questionnaires/"
+url: "/data-harmonisation/extract-process-data-from-questionnaires/"
+
 ---
 
 More than thirty years ago, John Naisbitt put into words a feeling many of us recognise today in "Megatrends," saying, "We are drowning in information but starved for knowledge." This statement is incredibly relevant in today's world, filled to the brim with data for research, analysis, and making decisions. The job of pulling and refining data from questionnaires is key, as these are so many insights and so much valuable feedback.
@@ -14,9 +19,9 @@ But, it's not all doom and gloom. Making the process of data extraction and proc
 
 Let's go through these strategies together. Get ready to turn challenges into chances for creativity and better research quality.
 
-## **Let’s Understand the Basics of Data Extraction**
+## Data Extraction
 
-Pulling data from questionnaires is an important step in transforming the gathered responses into actionable insights. This involves handling both structured and unstructured data.
+Pulling [data from questionnaires](/data-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/) is an important step in transforming the gathered responses into actionable insights. This involves handling both structured and unstructured data.
 
 What’s the difference, you ask? Structured data is the kind that fits neatly into categories, such as the choices selected in a multiple-choice question. On the flip side, unstructured data includes the free-text responses where participants express their thoughts in their own words.
 
@@ -28,7 +33,7 @@ The adoption of online survey tools has transformed data collection within the l
 
 Each method comes with its own downsides and perks, yet the end goal is always the same: to efficiently compile and prep the data for deeper processing and analysis. No matter which type of data you’re dealing with, understanding these fundamentals is your first move towards mastering data management.
 
-## **Tools and Techniques for Effective Data Extraction**
+## Tools and Techniques for Effective Data Extraction
 
 Picking the right set of tools and approaches for pulling data out of questionnaires is vital for the reliability and smooth running of your study. Among the many options out there, Optical Character Recognition (OCR) and Application Programming Interfaces (APIs) stand out for their utility.
 
@@ -40,7 +45,7 @@ Application Programming Interfaces (APIs) are the bridge for data between online
 
 Choosing the best tool is more than a matter of preference – it's about what fits the nature of your questionnaires, the kind of data you're after (structured or unstructured), and the demands of your project.
 
-## **Processing and Cleaning Extracted Data**
+## Processing and Cleaning Extracted Data
 
 After pulling data from questionnaires, we move onto the essential steps of processing and tidying it up. It's a bit like getting your data to take a bath and dress up properly before it steps out into the world of analysis. Let’s walk through what this makeover involves:
 
@@ -50,33 +55,33 @@ After pulling data from questionnaires, we move onto the essential steps of proc
 
 Why bother with all this? Well, just like you wouldn't want to base your decisions on hearsay, you wouldn't want to rely on messy data. Clean and well-processed data are the foundation of trustworthy analysis and insights. Skipping out on these steps is like heading out with your shirt inside out — you might not notice the mistake right away, but it's bound to lead to some awkward moments. Investing a bit of time here sets you up for a smoother ride down the analysis road, ensuring the conclusions you draw are solid and reliable.
 
-## **How Harmony Boosts Efficiency by 100X**
+## How Harmony boosts efficiency
 
 Seems like a lot of work? A customised method can greatly ease and improve the process. This is where we want to tell you about our favourite (and very own) tool: Harmony.
 
 Harmony revolutionises the way we approach the complex task of harmonising questionnaire data. With its advanced Natural Language Processing (NLP) at the core, Harmony offers a tailored solution that excels in interpreting, comparing, and integrating data across languages and formats, making it invaluable for international research and projects with diverse data sources.
 
-### **Main Features of Harmony**
+### Main features of Harmony
 
-- **Multilingual Data Handling:** Harmony's NLP technology guarantees accurate analysis across different languages.
-- **Advanced Response Analysis:** Utilizing Transformer neural networks, Harmony identifies similarities and differences in questionnaire items beyond mere keywords.
+- [Multilingual Data Handling](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/): Harmony's NLP technology guarantees accurate analysis across different languages.
+- **Advanced Response Analysis:** Using Transformer neural networks, Harmony identifies similarities and differences in questionnaire items beyond mere keywords.
 - **Versatile Data Format Compatibility:** Doesn’t matter if you’re dealing with PDFs, Excel, or Word documents, Harmony adapts to various formats.
 
 ### **What Sets Harmony Apart**
 
 - **Direct API Access:** Offers seamless integration into existing workflows, allowing for efficient data processing and analysis.
-- **Flexible Integration and Customisation:** Compatible with a wide array of analytical tools and customizable to specific project needs, Harmony enhances workflow precision and efficiency.
+- **Flexible Integration and Customisation:** Compatible with a wide array of analytical tools and customisable to specific project needs, Harmony enhances workflow precision and efficiency.
 
 But the real charm of Harmony lies in its ability to:
 
 - **Free Up Time:** By taking over the grunt work of data extraction and processing, Harmony cuts down the hours spent on manual data handling. This frees you up to focus on what really matters: diving into analysis and uncovering insights.
-- **Minimize Mistakes:** Manual processing is a minefield of potential errors, from simple typos to inconsistency in data categorization. Harmony's automated approach slashes these risks, offering peace of mind that your data is both precise and dependable.
+- **Minimise Mistakes:** Manual processing is a minefield of potential errors, from simple typos to inconsistency in data categorisation. Harmony's automated approach slashes these risks, offering peace of mind that your data is both precise and dependable.
 
 Harmony isn't just another tool; it's a comprehensive ally for developers and researchers striving for meticulousness and efficiency in their endeavours. With features like:
 
 - Effortless API integration for automated workflow
 - Wide-ranging compatibility with analytical tools
-- Customization to meet unique project needs
+- Customisation to meet unique project needs
 - A shortcut to saving precious time
 - A strategy to cut down on data processing errors
 
@@ -86,7 +91,7 @@ It makes data extraction and processing **_so_** much easier!
 
 Let us tell you about a real-life success story, because let’s be honest, don’t we all love those?
 
-The Australian Data Archive (ADA), much like its counterpart in the UK, is filled with data spanning public opinions on housing, political viewpoints, and in-depth surveys on employment and health. But they needed our help to make sense of their data…
+The [Australian Data Archive (ADA)](/ada/), much like its counterpart in the UK, is filled with data spanning public opinions on housing, political viewpoints, and in-depth surveys on employment and health. But they needed our help to make sense of their data…
 
 **The challenge:** Before Harmony came into the picture, the ADA faced a mountain of survey questions needing harmonisation. This task was filled with inconsistencies that risked the integrity of data across various studies.
 
@@ -118,17 +123,17 @@ Let's not stop at just amassing data. Instead, let's dig into it for the compell
 
 Got questions? We hear you! Here are our answers to some common concerns surrounding data harmonisation, data extraction and data processing:
 
-### **What is the difference between data standardization and data harmonisation?**
+### **What is the difference between data standardisation and data harmonisation?**
 
-Data standardization is about converting data to a common format and making sure everything follows the same rules or standards, like changing dates to a single format (DD/MM/YYYY). On the other hand, data harmonisation takes this a step further by aligning different datasets, so that they can work together seamlessly. It's about making sure different pieces of data can "talk" to each other, even if they come from varied sources. We hope this answered your confusion about data standardisation vs harmonisation.
+Data standardisation is about converting data to a common format and making sure everything follows the same rules or standards, like changing dates to a single format (DD/MM/YYYY). On the other hand, data harmonisation takes this a step further by aligning different datasets, so that they can work together seamlessly. It's about making sure different pieces of data can "talk" to each other, even if they come from varied sources. We hope this answered your confusion about data standardisation vs harmonisation.
 
 ### **What is the difference between data harmonisation and MDM (Master Data Management)?**
 
-Data harmonisation is a process focused on making data from different sources compatible for analysis or use. MDM, however, is a broader strategy that ensures the entire organization uses consistent, accurate, and up-to-date master data. While data harmonisation is a task within the MDM framework, MDM encompasses a wider range of data governance, quality, and management practices.
+Data harmonisation is a process focused on making data from different sources compatible for analysis or use. MDM, however, is a broader strategy that ensures the entire organisation uses consistent, accurate, and up-to-date master data. While data harmonisation is a task within the MDM framework, MDM encompasses a wider range of data governance, quality, and management practices.
 
 ### **How do you harmonise data from different sources?**
 
-Harmonising data involves several steps: identify the data to be harmonised, understand the format and structure of each source, and then apply transformations to align the data. Tools like mapping and matching are used to find common elements, and adjustments are made to resolve discrepancies in units, formats, or categorizations. The goal is to create a unified dataset that accurately represents information from all sources.
+Harmonising data involves several steps: identify the data to be harmonised, understand the format and structure of each source, and then apply transformations to align the data. Tools like mapping and matching are used to find common elements, and adjustments are made to resolve discrepancies in units, formats, or categorisations. The goal is to create a unified dataset that accurately represents information from all sources.
 
 ### **What is the difference between data harmonisation and integration?**
 
@@ -140,12 +145,10 @@ Extracting and collecting data from a questionnaire involves designing the surve
 
 ### **How do you process a questionnaire and survey data?**
 
-Processing a questionnaire starts with cleaning the data to remove any errors or irrelevant answers. Then, you categorize responses, especially for open-ended questions, to identify common themes or patterns. For quantitative data, statistical analysis can reveal trends and relationships. The entire process involves preparing the data for analysis, analysing it to draw conclusions, and then reporting the findings in an understandable way. This allows you to transform raw data into meaningful insights.
+Processing a questionnaire starts with cleaning the data to remove any errors or irrelevant answers. Then, you categorise responses, especially for open-ended questions, to identify common themes or patterns. For quantitative data, statistical analysis can reveal trends and relationships. The entire process involves preparing the data for analysis, analysing it to draw conclusions, and then reporting the findings in an understandable way. This allows you to transform raw data into meaningful insights.
 
 **Meta Title:** Maximising Data Insights with Harmony: The Future of Questionnaire Analysis
 
-**Meta Description:** Discover Harmony's role in transforming questionnaire data into actionable insights – enhance data quality and interoperability for researchers.
-
 **Keywords:**
 
 - Data harmonisation
diff --git a/content/en/blog/harmonised-data.md b/content/en/blog/harmonised-data.md
index da145136..9250676f 100644
--- a/content/en/blog/harmonised-data.md
+++ b/content/en/blog/harmonised-data.md
@@ -11,7 +11,7 @@ image: "/images/05- What is truly harmonised data - the practical overview.svg"
 
 If you’ve ever heard of data integration then you can easily understand what harmonised data or data harmonisation is: where disparate data sources are brought together into a single, unified location. But where harmonisation goes a step further is that it reorganises data according to the parameters set by a single schema.
 
-Let’s say you want to combine surveys or questionnaires on mental health with different kinds of wording for similar questions, like “anxiety vs. I feel anxious”. In psychology, market research, or social sciences, for example, this is a common problem, particularly when surveys are run by different organisations or in different regions altogether.
+Let’s say you want to combine surveys or questionnaires on [mental health](/ai-in-mental-health/) with different kinds of wording for similar questions, like "anxiety" vs. "I feel anxious". In psychology, market research, or social sciences, for example, this is a common problem, particularly when surveys are run by different organisations or in different regions altogether.
 
 A data harmonisation project like Harmony uses NLP (natural language processing) to help researchers make vastly better use of existing data extracted from multiple studies – by providing them with the ‘harmonisation’ of the various items and measures used across different studies.
 
diff --git a/content/en/blog/harmony-cran.md b/content/en/blog/harmony-cran.md
index 5a836527..5fc1fa9a 100644
--- a/content/en/blog/harmony-cran.md
+++ b/content/en/blog/harmony-cran.md
@@ -12,7 +12,7 @@ We are excited to announce that Harmony, a Natural Language Processing tool for
 
 Previously, [Harmony R](/harmony-r-released/) could be installed using [devtools](https://www.r-project.org/nosvn/pandoc/devtools.html).
 
-Harmony can be used to compare questionnaire items across studies, find the best match for a set of items, and identify different versions of the same questionnaire. Harmony is a collaboration project between [Ulster University](https://ulster.ac.uk), [University College London](https://ucl.ac.uk), the [Universidade Federal de Santa Maria](https://ufsm.br), and [Fast Data Science](https://fastdatascience.com/harmony-wellcome-data-prize/). It is funded by Wellcome as part of the [Wellcome Data Prize in Mental Health](https://wellcome.org/what-we-do/data-science-and-health-trustworthy-data-science/wellcome-data-prizes).
+Harmony can be used to compare questionnaire items across studies, find the best match for a set of items, and identify different versions of the same questionnaire. Harmony is a collaboration project between [Ulster University](https://ulster.ac.uk), [University College London](https://ucl.ac.uk), the [Universidade Federal de Santa Maria](https://ufsm.br), and [Fast Data Science](https://fastdatascience.com/harmony-wellcome-data-prize/). It has been funded by Wellcome as part of the [Wellcome Data Prize](https://wellcome.org/what-we-do/data-science-and-health-trustworthy-data-science/wellcome-data-prizes) in [Mental Health](/ai-in-mental-health/), as well as UKRI.
 
 To install Harmony, you can use the following command in your [R console](https://docs.posit.co/ide/user/ide/guide/code/console.html) or [R Studio](https://posit.co/download/rstudio-desktop/):
 
diff --git a/content/en/blog/harmony-tidal-workshop.md b/content/en/blog/harmony-tidal-workshop.md
index 69395882..ee445b0d 100644
--- a/content/en/blog/harmony-tidal-workshop.md
+++ b/content/en/blog/harmony-tidal-workshop.md
@@ -7,7 +7,7 @@ image: /images/harmony-tidal-workshop.jpg
 ---
 
 
-On Thursday, August 17th, 2023, the Harmony and [TIDAL](https://github.com/AmeliaES/TIDAL) teams teamed up to run a workshop at [University College London](https://www.ucl.ac.uk/) to allow researchers to try out their software tools. The workshop was attended by researchers interested in using these tools to study child and adolescent mental health, and other areas in social science research, from the effects of gambling addiction to asking questions about nature vs nurture in twin studies.
+On Thursday, August 17th, 2023, the Harmony and [TIDAL](https://github.com/AmeliaES/TIDAL) teams teamed up to run a workshop at [University College London](https://www.ucl.ac.uk/) to allow researchers to try out their software tools. The workshop was attended by researchers interested in using these tools to study child and adolescent [mental health](/ai-in-mental-health/), and other areas in social science research, from the effects of gambling addiction to asking questions about nature vs nurture in twin studies.
 
 [You can read more about the event on the Centre for Longitudinal Studies' website.](https://cls.ucl.ac.uk/events/mental-health-data-tools-workshop/)
 
@@ -26,7 +26,7 @@ The participants were given the opportunity to practice using Harmony and TIDAL
 
 ## Data used in the workshop
 
-The data used in the workshop was synthetic data that had been simulated based on the following two UK cohort studies:
+The data used in the workshop was synthetic data that had been simulated based on the following two UK [cohort studies](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research/):
 
 * Avon Longitudinal Study of Parents and Children (ALSPAC)
 * 1970 British Cohort Study (BCS70)
@@ -55,7 +55,7 @@ If you are interested in learning more about Harmony, please check out some of o
 
 ## About TIDAL
 
-TIDAL stands for Tool to Implement Developmental Analyses of Longitudinal Data. TIDAL is designed to facilitate work trajectories and remove barriers to implementing longitudinal research to researchers without specialist statistical backgrounds, enabling them to address questions like:
+TIDAL stands for Tool to Implement Developmental Analyses of Longitudinal Data. TIDAL is designed to facilitate work trajectories and remove barriers to implementing [longitudinal research](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/) to researchers without specialist statistical backgrounds, enabling them to address questions like:
 
 * How mental health is changing over specific periods of time.
 * When mental health is improving or worsening at the fastest rate (points of acceleration).
diff --git a/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md b/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md
index 68aad38c..00682ec1 100644
--- a/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md
+++ b/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md
@@ -14,7 +14,7 @@ url: "/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-d
 
 Many psychologists believe that mental illnesses can vary across cultures. In 1904, [Emil Kraepelin](https://en.wikipedia.org/wiki/Emil_Kraepelin) initiated the field of comparative psychiatry after studying mental health disorders in Java, writing that _“Die Eigenart eines Volkes wird auch in der Häufigkeit und klinischen Gestaltung seiner Geistesstörungen zum Ausdruck kommen,”_ meaning “The peculiarity of a people[ethnic group] will also be expressed in the frequency and clinical form of its mental disorders.”[1]
 
-More than a century later, the emergence of global mental health research [projects](/projects-partners) has opened a number of debates about the applicability of psychiatric categories to different cultural settings, such as those in the Diagnostic and Statistical Manual of Mental Disorders (DSM) series[2].
+More than a century later, the emergence of global [mental health](/ai-in-mental-health/) research [projects](/projects-partners) has opened a number of debates about the applicability of psychiatric categories to different cultural settings, such as those in the Diagnostic and Statistical Manual of Mental Disorders (DSM) series[2].
 
 In 2013, the publication of DSM-5 included for the first time Cultural Concepts of Distress (CCD), referring to “ways that cultural groups experience, understand, and communicate suffering, behavioral problems, or troubling thoughts and emotions”[2].
 
diff --git a/content/en/blog/how-to-harmonise-questionnaires.md b/content/en/blog/how-to-harmonise-questionnaires.md
index 0ca441cd..40c6da8a 100644
--- a/content/en/blog/how-to-harmonise-questionnaires.md
+++ b/content/en/blog/how-to-harmonise-questionnaires.md
@@ -83,7 +83,7 @@ If this sounds too technical, here’s how it works in real life: For instance,
 
 You might have data from different countries all over the world (which is amazing), but now you don’t know how to analyse this data and make sense of it together. After all, what good is all this diverse data if you can’t get the results and answers you need from it?
 
-Harmony can help you out again! One of the unique and groundbreaking capabilities of the data harmonisation tool is its proficiency in multilingual data harmonisation. This feature is particularly vital for global research studies that involve data collection across different linguistic groups. Its smart use of natural language processing means it can work with languages far and wide, which guarantees that every piece of data fits perfectly, no matter where it's from.
+Harmony can help you out again! One of the unique and groundbreaking capabilities of the data harmonisation tool is its proficiency in [multilingual data harmonisation](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/). This feature is particularly vital for global research studies that involve data collection across different linguistic groups. Its smart use of natural language processing means it can work with languages far and wide, which guarantees that every piece of data fits perfectly, no matter where it's from.
 
 Particularly in mental health research, where the subtleties of language matter, the ability to map datasets from various languages can open doors to new insights into issues like social isolation and anxiety.
 
diff --git a/content/en/blog/ideas.md b/content/en/blog/ideas.md
index abb0194d..7495d05a 100644
--- a/content/en/blog/ideas.md
+++ b/content/en/blog/ideas.md
@@ -43,7 +43,7 @@ Extend Harmony's capabilities by integrating with advanced language models like
 
 ### Multilingual negation
 
-Enhance Harmony to process negation in languages other than English and Portuguese, expanding its applicability and utility for researchers working with diverse language datasets
+Enhance Harmony to process negation in languages other than English and Portuguese, expanding its applicability and utility for researchers working with [diverse language datasets](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/).
 
 **More information:** [https://github.com/harmonydata/harmony/issues](https://github.com/harmonydata/harmony/issues)
 
diff --git a/content/en/blog/master-data-harmonisation.md b/content/en/blog/master-data-harmonisation.md
index 743a93c7..043c1283 100644
--- a/content/en/blog/master-data-harmonisation.md
+++ b/content/en/blog/master-data-harmonisation.md
@@ -74,7 +74,7 @@ Interested in learning how master data can revolutionize your business? Check ou
 
 ## **What is Data Harmonisation in Mental Health Research?**
 
-Ever wondered how mental health research makes sense of so much varied data – and how you can do the same for your research or business data? You start out with data that is all over the place: different languages, different formats and questions and scales. How do you get this data to reveal the answers you're looking for? The answer lies – once again – in data harmonisation.
+Ever wondered how [mental health](/ai-in-mental-health/) research makes sense of so much varied data – and how you can do the same for your research or business data? You start out with data that is all over the place: [different languages](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/), different formats and questions and scales. How do you get this data to reveal the answers you're looking for? The answer lies – once again – in data harmonisation.
 
 You might be asking, “Isn’t that a long and tedious process? Do I need to harmonise my data manually?” The data harmonisation process can seem quite scary and overwhelming, as it traditionally requires extensive manual effort and meticulous attention to detail.
 
@@ -96,7 +96,7 @@ The data harmonisation process with NLP involves several steps:
 2. Harmony's NLP algorithms then analyse the text and map out similarities and differences across various questionnaires.
 3. The system can identify identical questions, those with similar meanings, or even contrasting items. Thereby it creates a complete network graph for analysis.
 
-This capability is particularly helpful and important in multilingual settings. For instance, Harmony can map the GAD-7 questionnaire used in the UK with its Brazilian Portuguese counterpart – for accuracy and relevancy in cross-cultural research.
+This capability is particularly helpful and important in [multilingual settings](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/). For instance, Harmony can map the GAD-7 questionnaire used in the UK with its Brazilian Portuguese counterpart – for accuracy and relevancy in cross-cultural research.
 
 To learn how to integrate this powerful tool into your research workflow, read through our [Frequently Asked Questions](https://harmonydata.ac.uk/frequently-asked-questions/) or just [give it a try](https://harmonydata.ac.uk/app/#/) yourself.
 
diff --git a/content/en/blog/matching-common-items.md b/content/en/blog/matching-common-items.md
index 34f52300..a5317c22 100644
--- a/content/en/blog/matching-common-items.md
+++ b/content/en/blog/matching-common-items.md
@@ -8,16 +8,17 @@ image: "/images/11- Finding matching and common items in questionnaires and surv
 
 aliases:
   - "/how-to-find-matching-and-common-items-in-questionnaires-and-surveys/"
-url: "/data-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/"
+  - "/data-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/"
+url: "/item-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/"
 ---
 
-When researchers take on the task of analysing data from surveys and questionnaires, they often encounter a significant obstacle: finding matching or common items across different sources. This challenge is due to the many different ways questions are asked or formatted. This makes it tough to compare and merge data effectively.
+When researchers take on the task of analysing data from surveys and questionnaires, they often encounter a significant obstacle: finding matching or [common items](/item-harmonisation/) across different sources. This challenge is due to the many different ways questions are asked or formatted. This makes it tough to compare and merge data effectively.
 
 According to [Forbes](https://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-time-consuming-least-enjoyable-data-science-task-survey-says/?sh=46f8687f6f63), researchers spend up to 80% of their time just getting data ready for analysis, and a big part of that time goes into harmonising data.
 
 The [harmonisation of questionnaire data](/data-harmonisation/), therefore, becomes an important aspect of research. This is especially true when you’re striving for high data accuracy and comparability (as you should).
 
-Achieving a harmonious dataset means researchers can draw reliable connections and conclusions across different studies and this boosts the credibility and impact of their work. But how do you make it happen? Let’s talk about it!
+Achieving a harmonised dataset means researchers can draw reliable connections and conclusions across different studies and this boosts the credibility and impact of their work. But how do you make it happen? Let’s talk about it!
 
 ## **Top 3 Strategies for Finding Matching Items**
 
diff --git a/content/en/blog/press.md b/content/en/blog/press.md
index f30c1e8d..8628737d 100644
--- a/content/en/blog/press.md
+++ b/content/en/blog/press.md
@@ -30,13 +30,13 @@ Bettina Moltrecht from University College London (UCL) gave a presentation on th
 
 Harmony is a new AI-driven tool that can help researchers identify, compare and match survey items across multiple studies in a more efficient and transparent way. It can be used to harmonise questionnaires, i.e. identify similar question items that tap into the same symptom from different scales, and test their measurement properties and equivalence empirically – thus enabling researchers to compare and combine findings across existing studies, even when different measures have been administered.
 
-Dr Moltrecht presented use-case examples using real world meta-data from two UK cohort studies, findings from her ongoing validation research, and how existing platforms can benefit from Harmony. She also invited the audience to discuss familiar challenges and possible solutions around data harmonisation, especially considering cultural and contextual adaptations.
+Dr Moltrecht presented use-case examples using real world meta-data from [two UK cohort studies](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research/), findings from her ongoing validation research, and how existing platforms can benefit from Harmony. She also invited the audience to discuss familiar challenges and possible solutions around data harmonisation, especially considering cultural and contextual adaptations.
 
 [Read more on FORS' website](https://forscenter.ch/events-training/methods-and-research-meetings/)
 
 ## 17 August 2023, Centre for Longitudinal Studies
 
-During [a recent free half-day event](/harmony-and-tidal-workshop/), attendees were introduced to two new digital tools for researchers working with longitudinal data: Harmony and TIDAL.
+During [a recent free half-day event](/harmony-and-tidal-workshop/), attendees were introduced to two new digital tools for researchers working with [longitudinal data](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/): Harmony and TIDAL.
 
 Harmony is a tool that facilitates fast and easy harmonisation of questionnaires commonly used in mental health research. It uses natural language processing to identify commonalities across items, which allows researchers to combine and compare data from multiple studies.
 
diff --git a/content/en/blog/pydata.md b/content/en/blog/pydata.md
index 8c606e4a..b4a8376c 100644
--- a/content/en/blog/pydata.md
+++ b/content/en/blog/pydata.md
@@ -15,13 +15,13 @@ url: "/psychology-ai-tool/pydata-meetup/"
 
 Topic: **NLP and generative models for psychology research**
 
-Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a [free online tool](/psychology-ai-tool/) that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires.
+Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a [free online tool](/psychology-ai-tool/) that uses generative AI and LLMs to [help psychologists analyse datasets](/psychology-ai-tool/). It uses Python, Pandas and HuggingFace Sentence Transformers to [find similarities between questionnaires](/nlp-semantic-text-matching/).
 
 * Psychologists and social scientists often have to match items in different questionnaires, such as "I often feel anxious" and "Feeling nervous, anxious or afraid".
-* This is called harmonisation.
+* This is called [harmonisation](/data-harmonisation/).
 * Harmonisation is a time consuming and subjective process.
 * Going through long PDFs of questionnaires and putting the questions into Excel is no fun.
-* We've been working on an open source Python library and free web tool called Harmony which uses natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages.
+* We've been working on an [open source Python library](/how-can-i-contribute-to-an-open-source-project/) and free web tool called Harmony which uses natural language processing and generative AI models to help researchers [harmonise questionnaire items](/item-harmonisation/harmony-a-free-ai-tool-for-item-wise-harmonisation/), even [in different languages](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/).
 
 * https://pypi.org/project/harmonydata/
 * https://github.com/harmonydata/harmony
@@ -45,3 +45,13 @@ Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a [fre
 
 {{< youtube 1xp3Uh6dptg >}}
 
+
+
+## See other Harmony events
+
+* 8 October 2024: [Harmony: a free online tool using LLMs for research in psychology and social sciences](/psychology-ai-tool/aidl-meetup/)  at AI|DL London
+* 11 and 12 September 2024: [Harmony at MethodsCon Futures](/ai-in-mental-health/harmony-at-methodscon-futures/
+) in Manchester
+* 3 June 2024: [Harmony Hackathon](/hackathon/) at UCL
+* 5 May 2024: [Harmony: A global platform for harmonisation, translation and cooperation in mental health](/ai-in-mental-health/harmony-at-lifecourse-seminar/) at  Melbourne Children’s LifeCourse Initiative seminar series.
+* 27 March 2024: [Harmony at AI Camp](/psychology-ai-tool/aicamp-meetup/)
diff --git a/content/en/blog/research-funders-ai-governance-vacuum.md b/content/en/blog/research-funders-ai-governance-vacuum.md
index 9fec58d9..fc070f9f 100644
--- a/content/en/blog/research-funders-ai-governance-vacuum.md
+++ b/content/en/blog/research-funders-ai-governance-vacuum.md
@@ -16,8 +16,14 @@ A [recent article by Sense about Science](https://senseaboutscience.org/activiti
 
 The article, titled [Research funders tackle AI governance vacuum with pragmatic guidance](https://senseaboutscience.org/activities/research-funders-tackle-ai-governance-vacuum-with-pragmatic-guidance/), discusses the alarming gap between the rapid development and adoption of AI tools, and the lack of clear frameworks for their safe and ethical use. This is particularly concerning in healthcare, where AI applications are increasingly used without established regulations.
 
-Sense about Science recognises the importance of responsible AI development. Harmony tackles a key challenge in [mental health research](/ai-in-mental-health/) –  **harmonising data from different studies**. 
+Sense about Science recognises the importance of responsible AI development. Harmony tackles a key challenge in [mental health research](/ai-in-mental-health/), namely [harmonising data from different studies](/data-harmonisation).
 
 Dr. Bettina Moltrecht from UCL, who worked on Harmony and is now leading the project under the current UKRI grant, points out that "researchers need the awareness and knowledge captured in the framework for tools being developed not to become obsolete or impractical for others to pick up". 
 
 The Harmony team has taken steps to ensure the long term viability and sustainability of the tool. You can read more in our [sustainability assessment](/making-harmony-sustainable-long-term/) which we completed with the [Software Sustainability Institute](https://www.software.ac.uk/).
+
+*We have recently validated Harmony against real mental health data and our validation has been published in BMC Psychiatry as: McElroy, E., Wood, T.A., Bond, R., Mulvenna M., Shevlin M., Ploubidis G., Scopel Hoffmann M., Moltrecht B., [Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data](https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-024-05954-2#citeas). BMC Psychiatry 24, 530 (2024). [DOI: 10.1186/s12888-024-05954-2](https://doi.org/10.1186/s12888-024-05954-2)*
+
+
+We have regularly presented the Harmony project at events such as [AI|DL London](/psychology-ai-tool/aidl-meetup/), [MethodsCon Futures in Manchester](/ai-in-mental-health/harmony-at-methodscon-futures/
+), [Hackathon in UCL](/hackathon/), [Melbourne Children’s LifeCourse Initiative seminar series](/ai-in-mental-health/harmony-at-lifecourse-seminar/), and [AI Camp](/psychology-ai-tool/aicamp-meetup/).
\ No newline at end of file
diff --git a/content/en/blog/survey-data-harmonisation.md b/content/en/blog/survey-data-harmonisation.md
index ccfbc68c..d77e0869 100644
--- a/content/en/blog/survey-data-harmonisation.md
+++ b/content/en/blog/survey-data-harmonisation.md
@@ -24,7 +24,7 @@ Therefore, harmonisation of survey data creates fresh opportunities for research
 
 While survey projects at the international multi-wave level are a significant advancement within the social sciences infrastructure in terms of cross-national research – their country and time coverage continue to remain limited due to specific organisational conditions, availability of funding, interests or motivations of principal investigators, and more.
 
-auto harmonisation questionnaires or surveys can help to overcome these limitations, creating larger datasets within both global coverage and time series needed for longitudinal analyses. This can then pave the way for stronger testing of theoretical mechanisms. It’s no surprise then that automated data harmonisation for existing data to exploit its potential to the fullest has become a common initiative in empirical social sciences.
+auto harmonisation questionnaires or surveys can help to overcome these limitations, creating larger datasets within both global coverage and time series needed for [longitudinal analyses](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/). This can then pave the way for stronger testing of theoretical mechanisms. It’s no surprise then that automated data harmonisation for existing data to exploit its potential to the fullest has become a common initiative in empirical social sciences.
 
 With that said, current survey data harmonisation projects still tend to choose recode scripts which are, for the most part, quite hard to read, modify, and resuse. However, by using Harmony’s flexible and software-agonistic set of tools which include the programming language R, you can easily explore, recode, and document all your survey data harmonisation efforts. Many social scientists are already taking advantage of it, with fantastic results to report.
 
diff --git a/content/en/blog/tabulate-questionnaire-survey-result-data.md b/content/en/blog/tabulate-questionnaire-survey-result-data.md
index 9f430ef4..e8ccb65f 100644
--- a/content/en/blog/tabulate-questionnaire-survey-result-data.md
+++ b/content/en/blog/tabulate-questionnaire-survey-result-data.md
@@ -6,19 +6,22 @@ author: "Vidhya Sudani"
 categories: ["data"]
 image: "/images/14- How to tabulate questionnaires and survey result data.svg"
 
+aliases:
+  - "/tabulating-questionnaire-and-survey-result-data/"
+url: "/data-harmonisation/tabulate-questionnaire-survey-result-data/"
 ---
 
 
 
 
-Tabulating questionnaires and survey results is a crucial step in data analysis, providing insights into patterns, preferences, and trends among your respondents. This comprehensive guide will walk you through the process, from understanding basic concepts to applying these principles through a practical exercise. By the end, you will be equipped with the knowledge to efficiently organize, analyze, and interpret your survey data.
+Tabulating questionnaires and survey results is a crucial step in data analysis, providing insights into patterns, preferences, and trends among your respondents. This comprehensive guide will walk you through the process, from understanding basic concepts to applying these principles through a practical exercise. By the end, you will be equipped with the knowledge to efficiently organise, analyse, and interpret your survey data.
 
 
 
 ## Introduction
 
-Tabulation involves organizing and summarizing data in a structured format, usually in tables, to facilitate analysis. This process is essential for interpreting survey results, as it converts raw data into a form that is easier to understand and analyze.
-Conducting surveys and questionnaires is a common practice in various fields such as market research, academic research, and social sciences. However, once the data is collected, it needs to be organized and analyzed effectively to derive meaningful insights. Tabulating survey results is a crucial step in this process. In this article, we will explore the importance of tabulation, methods for tabulating data, and provide a practice exercise to reinforce your understanding.
+Tabulation involves organizing and summarizing data in a structured format, usually in tables, to facilitate analysis. This process is essential for interpreting survey results, as it converts raw data into a form that is easier to understand and analyse.
+Conducting surveys and questionnaires is a common practice in various fields such as market research, academic research, and social sciences. However, once the data is collected, it needs to be organised and analysed effectively to derive meaningful insights. Tabulating survey results is a crucial step in this process. In this article, we will explore the importance of tabulation, methods for tabulating data, and provide a practice exercise to reinforce your understanding.
 
 
 ## Understanding Survey Data
@@ -27,7 +30,7 @@ Conducting surveys and questionnaires is a common practice in various fields suc
 
 Before tabulating your data, it's crucial to understand the types of questions in your survey:
 
-- **Closed-ended questions**: These are questions with a set list of responses. Examples include multiple choice, Yes/No, or rating scales.
+- **Closed-ended questions**: These are questions with a set list of responses. Examples include multiple choice, Yes/No, or rating scales. *If you have closed-ended questions from multiple sources or organisations, you may need a [data harmonisation](/data-harmonisation/) step.*
 - **Open-ended questions**: These solicit a free-form response from participants, providing qualitative data.
 
 
@@ -41,11 +44,11 @@ Survey data comes from questionnaires designed to gather information from specif
 
 {{< image src="/images/Tabulation Techniques.webp" alt="Tabulation Techniques" title="Tabulation Techniques" >}}
 
-Tabulation transforms raw survey data into a summarized format, making it easier to analyze.
+Tabulation transforms raw survey data into a summarised format, making it easier to analyse.
 
 - **Frequency Distribution**: Counts the number of responses for each option in a question. Ideal for categorical data.
 - **Cross-tabulation**: Compares the relationship between two or more variables. For example, you might cross-tabulate survey responses by gender to see if opinions differ significantly.
-- **Descriptive Statistics**: Summarizes quantitative data with statistics such as mean, median, mode, range, and standard deviation.
+- **Descriptive Statistics**: Summarises quantitative data with statistics such as mean, median, mode, range, and standard deviation.
 
 ## Advanced Analysis
 
@@ -60,7 +63,7 @@ Now, Let's start having some hands-on with each steps of the tabulation process.
 
 ## Designing Your Questionnaire
 
-Effective tabulation begins with well-designed questionnaires. Ensure questions are clear, concise, and relevant to your objectives. Decide in advance how you plan to tabulate and analyze responses, as this will influence question design (e.g., using Likert scales for attitudes, multiple choice for categorical data).
+Effective tabulation begins with well-designed questionnaires. Ensure questions are clear, concise, and relevant to your objectives. Decide in advance how you plan to tabulate and analyse responses, as this will influence question design (e.g., using [Likert scales](https://www.simplypsychology.org/likert-scale.html) for attitudes, multiple choice for categorical data).
 
 
 ### Practical Exercise: Designing Your Questionnaire
@@ -99,11 +102,11 @@ Now, we have questions ready for collecting the raw data of the tabulations.
 
 ## Preparing Your Data for Tabulation
 
-Before tabulating your data, it's crucial to ensure it's clean and organized. This involves several steps:
+Before tabulating your data, it's crucial to ensure it's clean and organised. This involves several steps:
 
-1. **Data Cleaning**: The first step in tabulating your survey results is data cleaning. This involves checking the data for errors, inconsistencies, and missing values. For closed-ended questions, ensure that all responses fall within the expected range. For open-ended questions, check for and correct typos or categorize responses if necessary.
+1. **Data Cleaning**: The first step in tabulating your survey results is data cleaning. This involves checking the data for errors, inconsistencies, and missing values. For closed-ended questions, ensure that all responses fall within the expected range. For open-ended questions, check for and correct typos or categorise responses if necessary.
 
-2. **Coding Open-ended Responses**: For open-ended questions, you'll need to code the responses. This means categorizing the answers into thematic groups or tags. For example, if you have a question about favorite fruits, you might categorize answers like "apple" and "banana" into a "fruits" category.
+2. **Coding Open-ended Responses**: For open-ended questions, you'll need to code the responses. This means categorizing the answers into thematic groups or tags. For example, if you have a question about favorite fruits, you might categorise answers like "apple" and "banana" into a "fruits" category.
 
 3. **Setting Up Your Data Structure**: Once your data is cleaned and coded, the next step is entering it into a spreadsheet or database. Each respondent should have their own row, and each question should have its own column. For closed-ended questions, you can enter the chosen option directly. For coded open-ended responses, enter the code or category you assigned.
 
@@ -146,8 +149,8 @@ Now, let's proceed with preparing the data for tabulation based on the sample me
 
 #### Coding Open-ended Responses:
 
-- Categorize the open-ended responses into thematic groups or tags.
-- For example, categorize coping mechanisms like "Exercise" and "Meditation" into a "Self-care" category.
+- Categorise the open-ended responses into thematic groups or tags.
+- For example, categorise coping mechanisms like "Exercise" and "Meditation" into a "Self-care" category.
 
 Now, let's proceed with cleaning and coding the sample mental health survey data. Once completed, we can move on to tabulating the data for analysis.
 
@@ -349,11 +352,11 @@ Visualization can help make complex data more accessible and engaging.
 
 ### Practical Exercise: Visualizing Your Data
 
-Let's visualize the mental health survey data using bar charts, line graphs and Heat Maps.
+Let's visualise the mental health survey data using bar charts, line graphs and Heat Maps.
 
 #### Bar Chart: Frequency Distribution of Overall Well-being
 
-To visualize the frequency distribution of overall well-being scores, we'll create a bar chart.
+To visualise the frequency distribution of overall well-being scores, we'll create a bar chart.
 
 {{< image src="/images/bar.png" alt="bar-chart" title="bar-chart" >}}
 
@@ -375,7 +378,7 @@ The line graph demonstrates how overall well-being scores vary with respondents'
 
 {{< image src="/images/heatmap.png" alt="heatmap" title="heatmap" >}}
 
-The heatmap visualizes the relationship between diagnosed disorders and the frequency of symptoms, providing an aggregated view of how these two variables intersect across the dataset.
+The heatmap visualises the relationship between diagnosed disorders and the frequency of symptoms, providing an aggregated view of how these two variables intersect across the dataset.
 
 
 ---
@@ -467,11 +470,11 @@ Using the provided data, create frequency distribution tables for each question
 | Total             | 30          | 25      | 20      | 15      | 25    | 105   |
 
 
-You can try advanced tabulation and visualization for this example by your own to have a real hands-on experience. For advanced tabulation and visualization, gather demographic data, apply weighting based on population distributions, conduct multivariate analysis using software like Python's statsmodels, and visualize the results with appropriate plots.
+You can try advanced tabulation and visualization for this example by your own to have a real hands-on experience. For advanced tabulation and visualization, gather demographic data, apply weighting based on population distributions, conduct multivariate analysis using software like Python's statsmodels, and visualise the results with appropriate plots.
 
 
 ## Conclusion
-Tabulating survey results is a critical process in understanding and communicating the insights hidden within your data. By following the steps outlined in this guide and engaging in the practical exercise, you'll develop the skills needed to effectively analyze and interpret survey data, providing valuable findings for decision-making and research.
+Tabulating survey results is a critical process in understanding and communicating the insights hidden within your data. By following the steps outlined in this guide and engaging in the practical exercise, you'll develop the skills needed to effectively analyse and interpret survey data, providing valuable findings for decision-making and research.
 
 This exercise is a simplified scenario meant to practice basic tabulation and analysis techniques. Real-world surveys often involve more complex questions and larger datasets, requiring deeper statistical analysis and interpretation. However, mastering these fundamentals is the first step towards becoming proficient in survey analysis and data interpretation.
 
diff --git a/content/en/blog/what-is-truly-harmonised-data.md b/content/en/blog/what-is-truly-harmonised-data.md
index 9920ae09..04a4f581 100644
--- a/content/en/blog/what-is-truly-harmonised-data.md
+++ b/content/en/blog/what-is-truly-harmonised-data.md
@@ -95,7 +95,7 @@ Recognizing truly harmonised data involves looking for several key indicators:
 
 - **Consistency Across Sources:** Data definitions, formats, and structures are uniform across all data sources and systems.
 - **High Data Quality:** The data is accurate, complete, and timely, with minimal discrepancies or errors.
-- **Seamless Integration:** Data from various sources can be easily combined and analyzed together, without extensive manual intervention.
+- **Seamless Integration:** Data from various sources can be easily combined and analysed together, without extensive manual intervention.
 - **Accessibility and Usability:** Harmonised data is readily available to authorized users, who can easily extract insights and value from it.
 
 ## The Gap Between Perception and Reality
diff --git a/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md b/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md
index 8732bd90..f698e28d 100644
--- a/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md
+++ b/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md
@@ -7,7 +7,7 @@ aliases:
 
 ## Adult ADHD Self-Report Scale vs MacLean Screening Instrument for BPD
 
-Psychologists often face the challenge of harmonizing related aspects between different scales and measures, like the Adult ADHD Self-Report Scale and the MacLean Screening Instrument for BPD. These two instruments, although distinct, could potentially share overlapping traits and symptoms. Harmony is a tool designed to assist in comparing and matching items between scales, saving countless hours previously expended manually sifting through questionnaires.
+Psychologists often face the challenge of harmonising related aspects between different scales and measures, like the Adult ADHD Self-Report Scale and the MacLean Screening Instrument for BPD. These two instruments, although distinct, could potentially share overlapping traits and symptoms. Harmony is a tool designed to assist in comparing and matching items between scales, saving countless hours previously expended manually sifting through questionnaires.
 
 ## Compare the items in Adult ADHD Self-Report Scale English and MacLean Screening Instrument for BPD English
 
@@ -39,7 +39,7 @@ Utilizing advanced algorithms and natural language processing techniques, Harmon
 
 
 
-It can provide a percentage match between each item on both the scales, allowing researchers to have a clearer and more quantified understanding of commonalities. With Harmony, the task of comparing Adult ADHD Self-Report Scale vs MacLean Screening Instrument for BPD becomes streamlined and efficient. Harmony can handle instruments in different languages, expanding the horizons for cross-study comparisons. It offers a simple and interactive interface where users can either select from a database of instruments or upload their own in PDF form. When comparing Adult ADHD Self-Report Scale vs MacLean Screening Instrument for BPD, Harmony's AI-powered technology ensures thorough and accurate harmonization. It has the potential to revolutionize essential research processes in psychology and social sciences.
+It can provide a percentage match between each item on both the scales, allowing researchers to have a clearer and more quantified understanding of commonalities. With Harmony, the task of comparing Adult ADHD Self-Report Scale vs MacLean Screening Instrument for BPD becomes streamlined and efficient. Harmony can handle instruments in different languages, expanding the horizons for cross-study comparisons. It offers a simple and interactive interface where users can either select from a database of instruments or upload their own in PDF form. When comparing Adult ADHD Self-Report Scale vs MacLean Screening Instrument for BPD, Harmony's AI-powered technology ensures thorough and accurate harmonisation. It has the potential to revolutionize essential research processes in psychology and social sciences.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md
index 86a0eaff..17c87e44 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md
@@ -16,7 +16,7 @@ Whether for in-depth psychological research or routine screening, the ability to
 * <a href="https://harmonydata.ac.uk/app/#/import/W3siaW5zdHJ1bWVudF9uYW1lIjogIkFsY29ob2wgVXNlIERpc29yZGVycyBJZGVudGlmaWNhdGlvbiBUZXN0ICgxMC1pdGVtKSAoQVVESVQtMTApIiwgInF1ZXN0aW9ucyI6IFt7InF1ZXN0aW9uX3RleHQiOiAiSG93IG9mdGVuIGRvIHlvdSBoYXZlIGEgZHJpbmsgY29udGFpbmluZyBhbGNvaG9sPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSG93IG1hbnkgdW5pdHMgb2YgYWxjb2hvbCBkbyB5b3UgZHJpbmsgb24gYSB0eXBpY2FsIGRheSB3aGVuIHlvdSBhcmUgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIb3cgb2Z0ZW4gZG8geW91IGhhdmUgc2l4IG9yIG1vcmUgdW5pdHMgb2YgYWxjb2hvbCBvbiBvbmUgb2NjYXNpb24_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_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_In1dfV0=" target="harmonyapp">Import just ASSIST into Harmony</a> - compare ASSIST with other instruments
 
 
-Both the Alcohol Use Disorder Identification Test (AUDIT-10) and the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) provide valuable insights, but their different parameters can make cross-comparison challenging. Harmony, an innovative software developed for psychologists, revolutionizes this process by utilizing natural language processing and generative AI models to harmonize questionnaire items, allowing for seamless comparison between various tools.
+Both the Alcohol Use Disorder Identification Test (AUDIT-10) and the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) provide valuable insights, but their different parameters can make cross-comparison challenging. Harmony, an innovative software developed for psychologists, revolutionizes this process by utilizing natural language processing and generative AI models to harmonise questionnaire items, allowing for seamless comparison between various tools.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md
index 9a5e2d8e..2bebecb1 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md
@@ -17,7 +17,7 @@ Conducting research in the fields of psychology and social sciences often involv
 
 
 
-By using Harmony in the comparison of AUDIT-10 vs DUDIT, researchers can leverage the software's natural language processing and generative AI models. Harmony provides a percentage match between each item in the two assessments, which can be extremely helpful in the harmonisation process, particularly when the instruments are in different languages. Moreover, the tool offers a database of instruments for selection, or researchers can upload their own questionnaires in PDF format via Harmony's user-friendly web interface. With its ability to automate and streamline the harmonisation process, Harmony equips researchers with an indispensable tool in the analysis of cohort and longitudinal studies, especially those involving AUDIT-10 vs DUDIT.
+By using Harmony in the comparison of AUDIT-10 vs DUDIT, researchers can leverage the software's natural language processing and generative AI models. Harmony provides a percentage match between each item in the two assessments, which can be extremely helpful in the harmonisation process, particularly when the instruments are in different languages. Moreover, the tool offers a database of instruments for selection, or researchers can upload their own questionnaires in PDF format via Harmony's user-friendly web interface. With its ability to automate and streamline the harmonisation process, Harmony equips researchers with an indispensable tool in the analysis of [cohort](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research/) and [longitudinal studies](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/), especially those involving AUDIT-10 vs DUDIT.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md
index 3d2bfb30..269ae9fa 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md
@@ -25,7 +25,7 @@ In psychology, comparing different questionnaire instruments like AUDIT-10 vs HA
 * [GHQ 12 vs SMFQ](/compare-harmonise-instruments/ghq-12-vs-smfq)
 
 
-That's where Harmony steps in. Equipped with powerful natural language processing and generative AI models, Harmony makes the harmonisation of AUDIT-10 vs HAS a breeze. With Harmony, psychologists and social scientists can quickly determine the percentage match of each item between AUDIT-10 and HAS in multiple languages. This further allows for comparisons both within and across multiple studies, facilitating a more comprehensive analysis of cohort and longitudinal data.
+That's where Harmony steps in. Equipped with powerful natural language processing and generative AI models, Harmony makes the harmonisation of AUDIT-10 vs HAS a breeze. With Harmony, psychologists and social scientists can quickly determine the percentage match of each item between AUDIT-10 and HAS in multiple languages. This further allows for comparisons both within and across multiple studies, facilitating a more comprehensive analysis of cohort and [longitudinal data](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/).
 
 
 {{< card heading="Try Harmony" copy="Compare AUDIT-10 and HAS " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md
index 5a40b40e..2e49d3b4 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md
@@ -16,7 +16,7 @@ The understanding of alcohol use and its potential issues can be greatly enhance
 * <a href="https://harmonydata.ac.uk/app/#/import/W3siaW5zdHJ1bWVudF9uYW1lIjogIkFsY29ob2wgVXNlIERpc29yZGVycyBJZGVudGlmaWNhdGlvbiBUZXN0ICgxMC1pdGVtKSAoQVVESVQtMTApIiwgInF1ZXN0aW9ucyI6IFt7InF1ZXN0aW9uX3RleHQiOiAiSG93IG9mdGVuIGRvIHlvdSBoYXZlIGEgZHJpbmsgY29udGFpbmluZyBhbGNvaG9sPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSG93IG1hbnkgdW5pdHMgb2YgYWxjb2hvbCBkbyB5b3UgZHJpbmsgb24gYSB0eXBpY2FsIGRheSB3aGVuIHlvdSBhcmUgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIb3cgb2Z0ZW4gZG8geW91IGhhdmUgc2l4IG9yIG1vcmUgdW5pdHMgb2YgYWxjb2hvbCBvbiBvbmUgb2NjYXNpb24_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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJEbyB5b3UgZmVlbCB5b3UgYXJlIGEgbm9ybWFsIGRyaW5rZXI_IChcIm5vcm1hbFwiIC0gZHJpbmsgYXMgbXVjaCBvciBsZXNzIHRoYW4gbW9zdCBvdGhlciBwZW9wbGUpIn0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGF3YWtlbmVkIHRoZSBtb3JuaW5nIGFmdGVyIHNvbWUgZHJpbmtpbmcgdGhlIG5pZ2h0IGJlZm9yZSBhbmQgZm91bmQgdGhhdCB5b3UgY291bGQgbm90IHJlbWVtYmVyIGEgcGFydCBvZiB0aGUgZXZlbmluZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkRvZXMgeW91ciB3aWZlLCBodXNiYW5kLCBhIHBhcmVudCwgb3Igb3RoZXIgbmVhciByZWxhdGl2ZSBldmVyIHdvcnJ5IG9yIGNvbXBsYWluIGFib3V0IHlvdXIgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJDYW4geW91IHN0b3AgZHJpbmtpbmcgd2l0aG91dCBhIHN0cnVnZ2xlIGFmdGVyIG9uZSBvciB0d28gZHJpbmtzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRG8geW91IGV2ZXIgZmVlbCBndWlsdHkgYWJvdXQgeW91ciBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkRvIGZyaWVuZHMgb3IgcmVsYXRpdmVzIHRoaW5rIHlvdSBhcmUgYSBub3JtYWwgZHJpbmtlcj8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkFyZSB5b3UgYWJsZSB0byBzdG9wIGRyaW5raW5nIHdoZW4geW91IHdhbnQgdG8_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGF0dGVuZGVkIGEgbWVldGluZyBvZiBBbGNvaG9saWNzIEFub255bW91cyAoQUEpPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZ290dGVuIGludG8gcGh5c2ljYWwgZmlnaHRzIHdoZW4gZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXMgeW91IGRyaW5raW5nIGV2ZXIgY3JlYXRlZCBwcm9ibGVtcyBiZXR3ZWVuIHlvdSBhbmQgeW91ciB3aWZlLCBodXNiYW5kLCBhIHBhcmVudCwgb3Igb3RoZXIgcmVsYXRpdmU_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXMgeW91ciB3aWZlLCBodXNiYW5kIChvciBvdGhlciBmYW1pbHkgbWVtYmVycykgZXZlciBnb25lIHRvIGFueW9uZSBmb3IgaGVscCBhYm91dCB5b3VyIGRyaW5raW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZXZlciBsb3N0IGZyaWVuZHMgYmVjYXVzZSBvZiB5b3VyIGRyaW5raW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZXZlciBnb3R0ZW4gaW50byB0cm91YmxlIGF0IHdvcmsgb3Igc2Nob29sIGJlY2F1c2Ugb2YgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGxvc3QgYSBqb2IgYmVjYXVzZSBvZiBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgbmVnbGVjdGVkIHlvdXIgb2JsaWdhdGlvbnMsIHlvdXIgZmFtaWx5LCBvciB5b3VyIHdvcmsgZm9yIHR3byBvciBtb3JlIGRheXMgaW4gYSByb3cgYmVjYXVzZSB5b3Ugd2VyZSBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkRvIHlvdSBkcmluayBiZWZvcmUgbm9vbiBmYWlybHkgb2Z0ZW4_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGJlZW4gdG9sZCB5b3UgaGF2ZSBsaXZlciB0cm91YmxlPyBDaXJyaG9zaXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJBZnRlciBoZWF2eSBkcmlua2luZyBoYXZlIHlvdSBldmVyIGhhZCBEZWxpcml1bSBUcmVtZW5zIChELlQucykgb3Igc2V2ZXJlIHNoYWtpbmcsIG9yIGhlYXJkIHZvaWNlcywgb3Igc2VlbiB0aGluZ3MgdGhhdCBhcmUgcmVhbGx5IG5vdCB0aGVyZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgZ29uZSB0byBhbnlvbmUgZm9yIGhlbHAgYWJvdXQgeW91ciBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgYmVlbiBpbiBhIGhvc3BpdGFsIGJlY2F1c2Ugb2YgZHJpbmtpbmc_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_In1dfV0=" target="harmonyapp">Import just MAST into Harmony</a> - compare MAST with other instruments
 
 
-Making use of Harmony ensures a comprehensive analysis of AUDIT-10 vs MAST, bringing out underlying similarities and differences that can drive forward psychological and social research. The software's ability to harmonize questionnaire items, even across different languages, makes the comparison process streamlined and accurate.
+Making use of Harmony ensures a comprehensive analysis of AUDIT-10 vs MAST, bringing out underlying similarities and differences that can drive forward psychological and social research. The software's ability to harmonise questionnaire items, even across different languages, makes the comparison process streamlined and accurate.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md
index dcccbe5e..7fafdfe8 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md
@@ -7,10 +7,10 @@ aliases:
 
 ## AUDIT-10 vs TFLB
 
-The AUDIT-10 (Alcohol use disorders identification test) and TFLB (Timeline Followback Method Assessment) are two highly recognized questionnaires used by psychologists to assess alcohol use disorders. However, comparing these two tools can be time-consuming and subjective, often requiring manual harmonization of questionnaire items. That's why we recommend making use of Harmony— a software developed to help researchers navigate this process easily and efficiently.
+The AUDIT-10 (Alcohol use disorders identification test) and TFLB (Timeline Followback Method Assessment) are two highly recognized questionnaires used by psychologists to assess alcohol use disorders. However, comparing these two tools can be time-consuming and subjective, often requiring manual harmonisation of questionnaire items. That's why we recommend making use of Harmony— a software developed to help researchers navigate this process easily and efficiently.
 
 
-Harmony uses advanced algorithms and language models to detect similarities and differences, providing a percentage match between each item in the AUDIT-10 and TFLB. With Harmony, the process of comparing AUDIT-10 vs TFLB becomes more streamlined and accurate, even allowing for the comparison of items in different languages. Taking full advantage of Harmony's capabilities can substantially alleviate the burdensome task of questionnaire harmonization.
+Harmony uses advanced algorithms and language models to detect similarities and differences, providing a percentage match between each item in the AUDIT-10 and TFLB. With Harmony, the process of comparing AUDIT-10 vs TFLB becomes more streamlined and accurate, even allowing for the comparison of items in different languages. Taking full advantage of Harmony's capabilities can substantially alleviate the burdensome task of questionnaire harmonisation.
 
 
 {{< card heading="Try Harmony" copy="Compare AUDIT-10 and TFLB " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md b/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md
index 57e5d477..e6332957 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md
@@ -16,7 +16,7 @@ For psychologists and social scientists, the comparison of questionnaires such a
 * <a href="https://harmonydata.ac.uk/app/#/import/W3siaW5zdHJ1bWVudF9uYW1lIjogIkFsY29ob2wgVXNlIERpc29yZGVycyBJZGVudGlmaWNhdGlvbiBUZXN0ICgxMC1pdGVtKSAoQVVESVQpIiwgInF1ZXN0aW9ucyI6IFt7InF1ZXN0aW9uX3RleHQiOiAiSG93IG9mdGVuIGRvIHlvdSBoYXZlIGEgZHJpbmsgY29udGFpbmluZyBhbGNvaG9sPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSG93IG1hbnkgdW5pdHMgb2YgYWxjb2hvbCBkbyB5b3UgaGF2ZSBvbiBhIHR5cGljYWwgZGF5IHdoZW4geW91IGFyZSBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhvdyBvZnRlbiBkbyB5b3UgaGF2ZSBzaXggb3IgbW9yZSB1bml0cyBvbiBvbmUgb2NjYXNpb24_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIb3cgb2Z0ZW4gZHVyaW5nIHRoZSBwYXN0IHllYXIgaGF2ZSB5b3U6In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGb3VuZCB0aGF0IHlvdSB3ZXJlIG5vdCBhYmxlIHRvIHN0b3AgZHJpbmtpbmcgb25jZSB5b3UgaGFkIHN0YXJ0ZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGYWlsZWQgdG8gZG8gd2hhdCB3YXMgbm9ybWFsbHkgZXhwZWN0ZWQgb2YgeW91IGJlY2F1c2Ugb2YgZHJpbmtpbmc_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIER1cmluZyB0aGUgbGFzdCBtb250aCwgaG93IG9mdGVuIGRpZCB5b3UgZHJpbmsgc3Bpcml0cz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIi0gRHVyaW5nIHRoZSBsYXN0IG1vbnRoLCBob3cgb2Z0ZW4gZGlkIHlvdSBkcmluayBiZWVyIG9yIGNpZGVyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBJbiB0aGUgbGFzdCA2IG1vbnRocywgaG93IG9mdGVuIGhhdmUgeW91IGJlZW4gZHJ1bmsgaW4gdGhlIHdheSJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiZGVzY3JpYmVkIGluIFE3PyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBIYXZlIHlvdSBldmVyIGJlZW4gZHJ1bms_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIEV4Y2x1ZGluZyB0aGUgbGFzdCBtb250aCwgaG93IGhhdmUgeW91IHRyaWVkIHRvIGh1cnQgeW91cnNlbGYifSwgeyJxdWVzdGlvbl90ZXh0IjogIndpdGhvdXQgdHJ5aW5nIHRvIGtpbGwgeW91cnNlbGYgaW4gdGhlIGxhc3QgMTIgbW9udGhzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBJbiB0aGUgbGFzdCBtb250aCwgaG93IGhhdmUgeW91IHRyaWVkIHRvIGh1cnQgeW91cnNlbGYgd2l0aG91dCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAidHJ5aW5nIHRvIGtpbGwgeW91cnNlbGY_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIEluIHRoZSBsYXN0IG1vbnRoLCB3aHkgaGF2ZSB5b3UgdHJpZWQgdG8gaHVydCB5b3Vyc2VsZiB3aXRob3V0IHRyeWluZyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAidG8ga2lsbCB5b3Vyc2VsZj8ifV19XQ==" target="harmonyapp">Import just DASI into Harmony</a> - compare DASI with other instruments
 
 
-If you're looking to directly compare 'AUDIT vs DASI', Harmony should be your go-to tool with its capabilities to provide percentage match between each questionnaire item. Harmony's multilingual compatibilities allows it to compare items in various languages, adding more depth to the comparison of 'AUDIT vs DASI'. This feature enhances its credibility among researchers who deal with multi-lingual or international studies.
+If you're looking to directly compare 'AUDIT vs DASI', Harmony should be your go-to tool with its capabilities to provide percentage match between each questionnaire item. Harmony's [multilingual compatibilities](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) allows it to compare items in various languages, adding more depth to the comparison of 'AUDIT vs DASI'. This feature enhances its credibility among researchers who deal with multi-lingual or international studies.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md
index 1cf6f361..41d2042d 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md
@@ -7,7 +7,7 @@ aliases:
 
 ## DTC vs AUDIT: A Comparative Analysis using Harmony
 
-Psychologists seeking to assess and compare alcohol-related behaviors often utilize questionnaires such as Drinking to Cope (DTC) and Alcohol Use Disorders Identification Test (AUDIT). However, the comparative analysis and harmonization of these distinct assessment tools can be time consuming and subjective. The innovative software Harmony can redefine this process. It revolutionizes the DTC vs AUDIT comparison procedure by leveraging the power of natural language processing and generative AI models.
+Psychologists seeking to assess and compare alcohol-related behaviors often utilize questionnaires such as Drinking to Cope (DTC) and Alcohol Use Disorders Identification Test (AUDIT). However, the comparative analysis and harmonisation of these distinct assessment tools can be time consuming and subjective. The innovative software Harmony can redefine this process. It revolutionizes the DTC vs AUDIT comparison procedure by leveraging the power of natural language processing and generative AI models.
 
 ## Compare the items in DTC and AUDIT
 
@@ -25,7 +25,7 @@ Psychologists seeking to assess and compare alcohol-related behaviors often util
 * [SDQ vs SMFQ](/compare-harmonise-instruments/sdq-vs-smfq)
 
 
-Harmony offers an effortless and comprehensive approach to harmonize and compare DTC's and AUDIT's questionnaire items. The software utilizes large language models to perform a detailed DTC vs AUDIT comparison and produces a percentage match between each questionnaire item. This undoubtedly simplifies the process of data comparison, thus allowing psychologists to focus more on the results and less on the methodology.
+Harmony offers an effortless and comprehensive approach to harmonise and compare DTC's and AUDIT's questionnaire items. The software utilizes large language models to perform a detailed DTC vs AUDIT comparison and produces a percentage match between each questionnaire item. This undoubtedly simplifies the process of data comparison, thus allowing psychologists to focus more on the results and less on the methodology.
 
 
 {{< card heading="Try Harmony" copy="Compare DTC and AUDIT " url="https://harmonydata.ac.uk/app" >}}
@@ -34,7 +34,7 @@ Harmony offers an effortless and comprehensive approach to harmonize and compare
 
 
 
-Harmony enables users to upload their questionnaires directly into its web interface, breaking the tedious cycle of manually sorting through PDF files. Moreover, Harmony's aptitude extends beyond just the English language. The software can aptly compare and harmonize questionnaires written in multiple languages. That makes DTC vs AUDIT comparisons across different cultural and social contexts easier than ever. Harmony effectively shreds the barriers of linguistics and introduces a new era in cross-study comparisons. The software is poised to be an invaluable tool for psychologists aspiring to unravel the intricate web of behavioral patterns across various challenges and cultures.
+Harmony enables users to upload their questionnaires directly into its web interface, breaking the tedious cycle of manually sorting through PDF files. Moreover, Harmony's aptitude extends beyond just the English language. The software can aptly compare and harmonise questionnaires written in multiple languages. That makes DTC vs AUDIT comparisons across different cultural and social contexts easier than ever. Harmony effectively shreds the barriers of linguistics and introduces a new era in cross-study comparisons. The software is poised to be an invaluable tool for psychologists aspiring to unravel the intricate web of behavioral patterns across various challenges and cultures.
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md
index 30444145..6c133e45 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md
@@ -7,7 +7,7 @@ aliases:
 
 ## DTC vs ESPAD
 
-Harmony provides an intuitive solution for psychologists comparing different psychological questionnaires, such as DTC vs ESPAD, allowing them to gain insights more efficiently. The traditional method of manual harmonization poses several challenges like the enormous time investment and subjectivity of the process. However, Harmony leverages advanced technologies like natural language processing and generative AI models for cross-referencing between different instruments. It also offers a handy feature of comparing questionnaire items in multiple languages.
+Harmony provides an intuitive solution for psychologists comparing different psychological questionnaires, such as DTC vs ESPAD, allowing them to gain insights more efficiently. The traditional method of manual harmonisation poses several challenges like the enormous time investment and subjectivity of the process. However, Harmony leverages advanced technologies like natural language processing and generative AI models for cross-referencing between different instruments. It also offers a handy feature of comparing questionnaire items in multiple languages.
 
 ## Compare the items in DTC and ESPAD
 
@@ -30,7 +30,7 @@ The comparison of DTC vs ESPAD could be significantly streamlined using Harmony.
 
 {{< youtube cEZppTBj1NI >}}
 
-Harmony's AI models will analyse and compare each item of DTC and ESPAD, providing a percentage match per item. In sum, using Harmony provides a more practical and efficient way of conducting comparative analyses like DTC vs ESPAD, therefore enabling researchers to save time and reduce subjectivity. By addressing the time-consuming task of manual harmonization with automation, Harmony ultimately contributes to more comprehensive and reliable longitudinal and cohort studies. For researchers seeking to enhance their work process, Harmony indeed offers a promising solution.
+Harmony's AI models will analyse and compare each item of DTC and ESPAD, providing a percentage match per item. In sum, using Harmony provides a more practical and efficient way of conducting comparative analyses like DTC vs ESPAD, therefore enabling researchers to save time and reduce subjectivity. By addressing the time-consuming task of manual harmonisation with automation, Harmony ultimately contributes to more comprehensive and reliable longitudinal and cohort studies. For researchers seeking to enhance their work process, Harmony indeed offers a promising solution.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md
index 266ff08a..9c7e11fd 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md
@@ -7,7 +7,7 @@ aliases:
 
 ## DTC vs MAST
 
-Comparison and harmonization of questionnaires like DTC (Drinking to Cope) and MAST (Michigan Alcoholism Screening Test) are vital for psychologists and social scientists. However, traditionally, this process has been time-consuming and subjective. Here's where Harmony comes in. With the Harmony software, you can streamline the process of comparing DTC and MAST, effortlessly converting long PDFs into digestible data. Just upload the instruments in PDF form into Harmony's user-friendly web interface, and let the software do the rest.
+Comparison and harmonisation of questionnaires like DTC (Drinking to Cope) and MAST (Michigan Alcoholism Screening Test) are vital for psychologists and social scientists. However, traditionally, this process has been time-consuming and subjective. Here's where Harmony comes in. With the Harmony software, you can streamline the process of comparing DTC and MAST, effortlessly converting long PDFs into digestible data. Just upload the instruments in PDF form into Harmony's user-friendly web interface, and let the software do the rest.
 
 ## Compare the items in DTC and MAST
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md
index b9175dd8..777d6f6f 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md
@@ -7,7 +7,7 @@ aliases:
 
 ## DUDIT vs ASSIST
 
-When studying substance abuse and addiction, psychologists and social scientists often find themselves comparing different questionnaires and instruments like DUDIT (Drug Use Disorders Identification Test) and ASSIST (Alcohol, Smoking, and Substance Involvement Screening Test). The process, known as harmonization, is crucial for making both intra and inter-study comparisons. But as anyone who has manually done this can attest, the process is both tedious and subjective. Enter Harmony, a tool that uses large language models to help in the harmonization of various tools. The **DUDIT vs ASSIST** comparison is just one example where Harmony can be massively beneficial.
+When studying substance abuse and addiction, psychologists and social scientists often find themselves comparing different questionnaires and instruments like DUDIT (Drug Use Disorders Identification Test) and ASSIST (Alcohol, Smoking, and Substance Involvement Screening Test). The process, known as harmonisation, is crucial for making both intra and inter-study comparisons. But as anyone who has manually done this can attest, the process is both tedious and subjective. Enter Harmony, a tool that uses large language models to help in the harmonisation of various tools. The **DUDIT vs ASSIST** comparison is just one example where Harmony can be massively beneficial.
 
 ## Compare the items in DUDIT and ASSIST
 
@@ -15,7 +15,7 @@ When studying substance abuse and addiction, psychologists and social scientists
 * <a href="https://harmonydata.ac.uk/app/#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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXMgaXQgaGFwcGVuZWQsIG92ZXIgdGhlIHBhc3QgeWVhciwgdGhhdCB5b3UgaGF2ZSBub3QgYmVlbiBhYmxlIHRvIHN0b3AgdGFraW5nIGRydWdzIG9uY2UgeW91IHN0YXJ0ZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIb3cgb2Z0ZW4gb3ZlciB0aGUgcGFzdCB5ZWFyIGhhdmUgeW91IHRha2VuIGRydWdzIGFuZCB0aGVuIG5lZ2xlY3RlZCB0byBkbyBzb21ldGhpbmcgeW91IHNob3VsZCBoYXZlIGRvbmU_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_In1dfSwgeyJpbnN0cnVtZW50X25hbWUiOiAiQWxjb2hvbCwgU21va2luZywgYW5kIFN1YnN0YW5jZSBJbnZvbHZlbWVudCBTY3JlZW5pbmcgVGVzdCAtIFN1YnN0YW5jZSBVc2UgKEFTU0lTVCkiLCAicXVlc3Rpb25zIjogW3sicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIHVzZWQgYW55IGRydWcgYnkgaW5qZWN0aW9uPyJ9XX1d" target="harmonyapp">Import just DUDIT into Harmony</a> - compare DUDIT with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXMgaXQgaGFwcGVuZWQsIG92ZXIgdGhlIHBhc3QgeWVhciwgdGhhdCB5b3UgaGF2ZSBub3QgYmVlbiBhYmxlIHRvIHN0b3AgdGFraW5nIGRydWdzIG9uY2UgeW91IHN0YXJ0ZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIb3cgb2Z0ZW4gb3ZlciB0aGUgcGFzdCB5ZWFyIGhhdmUgeW91IHRha2VuIGRydWdzIGFuZCB0aGVuIG5lZ2xlY3RlZCB0byBkbyBzb21ldGhpbmcgeW91IHNob3VsZCBoYXZlIGRvbmU_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_In1dfSwgeyJpbnN0cnVtZW50X25hbWUiOiAiQWxjb2hvbCwgU21va2luZywgYW5kIFN1YnN0YW5jZSBJbnZvbHZlbWVudCBTY3JlZW5pbmcgVGVzdCAtIFN1YnN0YW5jZSBVc2UgKEFTU0lTVCkiLCAicXVlc3Rpb25zIjogW3sicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIHVzZWQgYW55IGRydWcgYnkgaW5qZWN0aW9uPyJ9XX1d" target="harmonyapp">Import just ASSIST into Harmony</a> - compare ASSIST with other instruments
 
-Harmony takes into consideration each item in both DUDIT and ASSIST, and gives a percentage match. This objective comparison makes the harmonization process more precise and less time-consuming. The "DUDIT Vs ASSIST" comparison using Harmony, for instance, provides a comparative view of the questionnaires, aiding researchers in understanding the overlap and differences between the two. Also, Harmony works across multiple languages making it both flexible and versatile for global research applications.
+Harmony takes into consideration each item in both DUDIT and ASSIST, and gives a percentage match. This objective comparison makes the harmonisation process more precise and less time-consuming. The "DUDIT Vs ASSIST" comparison using Harmony, for instance, provides a comparative view of the questionnaires, aiding researchers in understanding the overlap and differences between the two. Also, Harmony works across multiple languages making it both flexible and versatile for global research applications.
 
 
 ## You may also be interested in these harmonisations
@@ -30,7 +30,7 @@ Harmony takes into consideration each item in both DUDIT and ASSIST, and gives a
 {{< youtube cEZppTBj1NI >}}
 
 
-If you're planning a **DUDIT vs ASSIST** analysis, we highly recommend giving Harmony a try. You can select from Harmony's extensive database or you can upload your own instruments. Taking the DUDIT vs ASSIST comparison as an example, researchers can either input the items manually or upload the PDFs of the questionnaires. The web interface is highly intuitive and user-friendly. Try Harmony today and discover a more efficient way of harmonizing questionnaires.
+If you're planning a **DUDIT vs ASSIST** analysis, we highly recommend giving Harmony a try. You can select from Harmony's extensive database or you can upload your own instruments. Taking the DUDIT vs ASSIST comparison as an example, researchers can either input the items manually or upload the PDFs of the questionnaires. The web interface is highly intuitive and user-friendly. Try Harmony today and discover a more efficient way of harmonising questionnaires.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md
index 9a300ebb..df1c4ce6 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md
@@ -7,7 +7,7 @@ aliases:
 
 ## DUDIT vs AUDIT
 
-Comparing questionnaires like the Drug Use Disorders Identification Test (DUDIT) and the Alcohol Use Disorders Identification Test (AUDIT) is a common and necessary practice in psychological research, often referred to as harmonization. However, manual harmonisation can be time consuming and subjective. This is where the groundbreaking software, Harmony, comes in. Harmony enables psychologists to streamline the comparison process between such tests as DUDIT vs AUDIT.
+Comparing questionnaires like the Drug Use Disorders Identification Test (DUDIT) and the Alcohol Use Disorders Identification Test (AUDIT) is a common and necessary practice in psychological research, often referred to as harmonisation. However, manual harmonisation can be time consuming and subjective. This is where the groundbreaking software, Harmony, comes in. Harmony enables psychologists to streamline the comparison process between such tests as DUDIT vs AUDIT.
 
 
 ## Compare the items in DUDIT and AUDIT
@@ -25,7 +25,7 @@ Comparing questionnaires like the Drug Use Disorders Identification Test (DUDIT)
 * [AUDIT-10 vs HAS](/compare-harmonise-instruments/alcoholism/audit-10-vs-has)
 
 
-Using natural language processing and generative AI models, Harmony can provide a percent match between each item in the DUDIT and AUDIT questionnaires. This allows for an objective, data-driven approach to research harmonization. Furthermore, Harmony simplifies the process immensely with its easy-to-use interface and automated functionalities. The task of comparing DUDIT vs AUDIT becomes a breeze, saving significant time and reducing potential human error.
+Using natural language processing and generative AI models, Harmony can provide a percent match between each item in the DUDIT and AUDIT questionnaires. This allows for an objective, data-driven approach to research harmonisation. Furthermore, Harmony simplifies the process immensely with its easy-to-use interface and automated functionalities. The task of comparing DUDIT vs AUDIT becomes a breeze, saving significant time and reducing potential human error.
 
 
 {{< card heading="Try Harmony" copy="Compare DUDIT and AUDIT " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md
index 3692aa65..1ca6e93f 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md
@@ -16,7 +16,7 @@ The process of comparing questionnaires like the Drug Use Disorders Identificati
 * <a href="https://harmonydata.ac.uk/app/#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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXMgaXQgaGFwcGVuZWQsIG92ZXIgdGhlIHBhc3QgeWVhciwgdGhhdCB5b3UgaGF2ZSBub3QgYmVlbiBhYmxlIHRvIHN0b3AgdGFraW5nIGRydWdzIG9uY2UgeW91IHN0YXJ0ZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIb3cgb2Z0ZW4gb3ZlciB0aGUgcGFzdCB5ZWFyIGhhdmUgeW91IHRha2VuIGRydWdzIGFuZCB0aGVuIG5lZ2xlY3RlZCB0byBkbyBzb21ldGhpbmcgeW91IHNob3VsZCBoYXZlIGRvbmU_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_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" target="harmonyapp">Import just DTC into Harmony</a> - compare DTC with other instruments
 
 
-Using Harmony’s sophisticated natural language processing and generative AI models, researchers can now harmonize and compare these questionnaires efficiently. Harmony allows a straightforward comparison of DUDIT and DTC questionnaire's items with its in-built mechanism. It harnesses large language models prowess to generate a percentage match, providing an exact measure of items' similarity or variance across different questionnaires like *DUDIT vs DTC*.
+Using Harmony’s sophisticated natural language processing and generative AI models, researchers can now harmonise and compare these questionnaires efficiently. Harmony allows a straightforward comparison of DUDIT and DTC questionnaire's items with its in-built mechanism. It harnesses large language models prowess to generate a percentage match, providing an exact measure of items' similarity or variance across different questionnaires like *DUDIT vs DTC*.
 
 ## You may also be interested in these harmonisations
 
@@ -30,7 +30,7 @@ Using Harmony’s sophisticated natural language processing and generative AI mo
 
 {{< youtube cEZppTBj1NI >}}
 
-This aids psychologists in their journey towards drawing meaningful insights and conclusions in their research work. In this digital age, Harmony is a game-changer for psychologists and researchers dealing with questionnaire items comparison like *DUDIT vs DTC*. It not only handles English but also provides the facility for comparing items in multiple languages. With Harmony, researchers can let go of the tedious manual harmonization process and divert their attention to more critical aspects of their study. Let Harmony guide your comparative study, and see the ease it brings to your research process.
+This aids psychologists in their journey towards drawing meaningful insights and conclusions in their research work. In this digital age, Harmony is a game-changer for psychologists and researchers dealing with questionnaire items comparison like *DUDIT vs DTC*. It not only handles English but also provides the facility for comparing items in multiple languages. With Harmony, researchers can let go of the tedious manual harmonisation process and divert their attention to more critical aspects of their study. Let Harmony guide your comparative study, and see the ease it brings to your research process.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md
index b022d6fa..75ddc35e 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md
@@ -34,7 +34,7 @@ Comparing the Drug Use Disorders Identification Test (DUDIT) with the Michigan A
 
 
 
-**The Harmony Advantage in DUDIT vs MAST** In conclusion, the process of harmonizing DUDIT vs MAST using traditional manual methods is set to become a thing of the past. Harmony not only automates the labor-intensive task but also reduces subjectivity, allowing researchers to focus more on the results and insights of comparisons. If you're gearing up for a DUDIT vs MAST comparison, why not give Harmony a try and experience the benefits first hand?
+**The Harmony Advantage in DUDIT vs MAST** In conclusion, the process of harmonising DUDIT vs MAST using traditional manual methods is set to become a thing of the past. Harmony not only automates the labor-intensive task but also reduces subjectivity, allowing researchers to focus more on the results and insights of comparisons. If you're gearing up for a DUDIT vs MAST comparison, why not give Harmony a try and experience the benefits first hand?
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md
index 929be228..34df903b 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md
@@ -33,7 +33,7 @@ By using Harmony, psychologists can access its extensive database, or drag and d
 
 
 
-To leverage the power of AI in psychological research, Harmony is indeed the go-to tool for instrument comparison, specifically for tasks such as DUDIT vs RAPI. With its user-friendly web interface and robust features, it can aid researchers in their longitudinal studies, ultimately contributing to a better understanding of substance use disorders. Cut down your manual work and let Harmony take care of the harmonization process.
+To leverage the power of AI in psychological research, Harmony is indeed the go-to tool for instrument comparison, specifically for tasks such as DUDIT vs RAPI. With its user-friendly web interface and robust features, it can aid researchers in their longitudinal studies, ultimately contributing to a better understanding of substance use disorders. Cut down your manual work and let Harmony take care of the harmonisation process.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md
index 2e942602..394de07e 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md
@@ -25,7 +25,7 @@ Comparative analysis between different questionnaires, like 'European School Sur
 * [DUDIT vs ASSIST](/compare-harmonise-instruments/alcoholism/dudit-vs-assist)
 
 
-This analytical software uses natural language processing and generative AI models, thereby expediting the harmonization process of questionnaire items, regardless of the language barrier. The ESPAD vs MAST analysis can be performed by selecting the respective instruments from Harmony's extensive database or uploading the respective PDFs into the easy-to-use web interface. The software compares each item in ESPAD and MAST, providing a percentage match.
+This analytical software uses natural language processing and generative AI models, thereby expediting the harmonisation process of questionnaire items, regardless of the language barrier. The ESPAD vs MAST analysis can be performed by selecting the respective instruments from Harmony's extensive database or uploading the respective PDFs into the easy-to-use web interface. The software compares each item in ESPAD and MAST, providing a percentage match.
 
 
 {{< card heading="Try Harmony" copy="Compare ESPAD and MAST " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md
index 20ec31b1..055b2c72 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md
@@ -32,7 +32,7 @@ The Harmony software leverages advanced natural language processing and generati
 
 
 
-To comprehensively compare and analyze MAST vs ASSIST, Harmony invites psychologists to upload the appropriate instruments into its user-friendly web interface. By significantly reducing the time and effort required in the harmonisation process, Harmony allows researchers to focus on the more critical aspects of their work — interpreting results and discovering insights in comparative studies like MAST vs ASSIST.
+To comprehensively compare and analyse MAST vs ASSIST, Harmony invites psychologists to upload the appropriate instruments into its user-friendly web interface. By significantly reducing the time and effort required in the harmonisation process, Harmony allows researchers to focus on the more critical aspects of their work — interpreting results and discovering insights in comparative studies like MAST vs ASSIST.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md
index b388241e..35379d90 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md
@@ -7,7 +7,7 @@ aliases:
 
 ## MAST vs DASI
 
-As psychologists aiming to gather comprehensive insights into alcoholism and self-injurious behavior, we often find ourselves drawing upon two key instruments - the Michigan Alcoholism Screening Test (MAST) and the Drug, Alcohol, and Self Injury Questionnaire (DASI). Drawing comparisons between MAST and DASI is instrumental in offering nuanced perspectives and understanding the interconnectedness of the behaviors they measure. However, manual MAST vs DASI comparisons can be time-consuming and daunting. This is where Harmony, a state-of-the-art harmonization software, comes in use.
+As psychologists aiming to gather comprehensive insights into alcoholism and self-injurious behavior, we often find ourselves drawing upon two key instruments - the Michigan Alcoholism Screening Test (MAST) and the Drug, Alcohol, and Self Injury Questionnaire (DASI). Drawing comparisons between MAST and DASI is instrumental in offering nuanced perspectives and understanding the interconnectedness of the behaviors they measure. However, manual MAST vs DASI comparisons can be time-consuming and daunting. This is where Harmony, a state-of-the-art harmonisation software, comes in use.
 
 ## Compare the items in MAST and DASI
 
@@ -15,7 +15,7 @@ As psychologists aiming to gather comprehensive insights into alcoholism and sel
 * <a href="https://harmonydata.ac.uk/app/#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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJEbyB5b3UgZXZlciBmZWVsIGd1aWx0eSBhYm91dCB5b3VyIGRyaW5raW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRG8gZnJpZW5kcyBvciByZWxhdGl2ZXMgdGhpbmsgeW91IGFyZSBhIG5vcm1hbCBkcmlua2VyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQXJlIHlvdSBhYmxlIHRvIHN0b3AgZHJpbmtpbmcgd2hlbiB5b3Ugd2FudCB0bz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgYXR0ZW5kZWQgYSBtZWV0aW5nIG9mIEFsY29ob2xpY3MgQW5vbnltb3VzIChBQSk_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBnb3R0ZW4gaW50byBwaHlzaWNhbCBmaWdodHMgd2hlbiBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3UgZHJpbmtpbmcgZXZlciBjcmVhdGVkIHByb2JsZW1zIGJldHdlZW4geW91IGFuZCB5b3VyIHdpZmUsIGh1c2JhbmQsIGEgcGFyZW50LCBvciBvdGhlciByZWxhdGl2ZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3VyIHdpZmUsIGh1c2JhbmQgKG9yIG90aGVyIGZhbWlseSBtZW1iZXJzKSBldmVyIGdvbmUgdG8gYW55b25lIGZvciBoZWxwIGFib3V0IHlvdXIgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGxvc3QgZnJpZW5kcyBiZWNhdXNlIG9mIHlvdXIgZHJpbmtpbmc_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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGJlZW4gYXJyZXN0ZWQgZm9yIGRydW5rIGRyaXZpbmcsIGRyaXZpbmcgd2hpbGUgaW50b3hpY2F0ZWQsIG9yIGRyaXZpbmcgdW5kZXIgdGhlIGluZmx1ZW5jZSBvZiBhbGNvaG9saWMgYmV2ZXJhZ2VzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiYS4gSG93IG1hbnkgdGltZXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJBc2sgYWxsLCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZXZlciBiZWVuIGFycmVzdGVkLCBvciB0YWtlbiBpbnRvIGN1c3RvZHkgZXZlbiBmb3IgYSBmZXcgaG91cnMsIGJlY2F1c2Ugb2Ygb3RoZXIgZHJ1bmsgYmVoYXZpb3I_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJhLiBIb3cgbWFueSB0aW1lcz8ifV19LCB7Imluc3RydW1lbnRfbmFtZSI6ICJEcnVnLCBBbGNvaG9sIGFuZCBTZWxmIEluanVyeSBRdWVzdGlvbm5haXJlIChEQVNJKSIsICJxdWVzdGlvbnMiOiBbeyJxdWVzdGlvbl90ZXh0IjogIkl0ZW1zIGluY2x1ZGU6In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIER1cmluZyB0aGUgbGFzdCBtb250aCwgaG93IG9mdGVuIGRpZCB5b3UgdGFrZS91c2UgY2FubmFiaXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIER1cmluZyB0aGUgbGFzdCBtb250aCwgaG93IG9mdGVuIGRpZCB5b3UgZHJpbmsgc3Bpcml0cz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIi0gRHVyaW5nIHRoZSBsYXN0IG1vbnRoLCBob3cgb2Z0ZW4gZGlkIHlvdSBkcmluayBiZWVyIG9yIGNpZGVyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBJbiB0aGUgbGFzdCA2IG1vbnRocywgaG93IG9mdGVuIGhhdmUgeW91IGJlZW4gZHJ1bmsgaW4gdGhlIHdheSJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiZGVzY3JpYmVkIGluIFE3PyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBIYXZlIHlvdSBldmVyIGJlZW4gZHJ1bms_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIEV4Y2x1ZGluZyB0aGUgbGFzdCBtb250aCwgaG93IGhhdmUgeW91IHRyaWVkIHRvIGh1cnQgeW91cnNlbGYifSwgeyJxdWVzdGlvbl90ZXh0IjogIndpdGhvdXQgdHJ5aW5nIHRvIGtpbGwgeW91cnNlbGYgaW4gdGhlIGxhc3QgMTIgbW9udGhzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBJbiB0aGUgbGFzdCBtb250aCwgaG93IGhhdmUgeW91IHRyaWVkIHRvIGh1cnQgeW91cnNlbGYgd2l0aG91dCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAidHJ5aW5nIHRvIGtpbGwgeW91cnNlbGY_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIEluIHRoZSBsYXN0IG1vbnRoLCB3aHkgaGF2ZSB5b3UgdHJpZWQgdG8gaHVydCB5b3Vyc2VsZiB3aXRob3V0IHRyeWluZyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAidG8ga2lsbCB5b3Vyc2VsZj8ifV19XQ==" target="harmonyapp">Import just MAST into Harmony</a> - compare MAST with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJEbyB5b3UgZXZlciBmZWVsIGd1aWx0eSBhYm91dCB5b3VyIGRyaW5raW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRG8gZnJpZW5kcyBvciByZWxhdGl2ZXMgdGhpbmsgeW91IGFyZSBhIG5vcm1hbCBkcmlua2VyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQXJlIHlvdSBhYmxlIHRvIHN0b3AgZHJpbmtpbmcgd2hlbiB5b3Ugd2FudCB0bz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgYXR0ZW5kZWQgYSBtZWV0aW5nIG9mIEFsY29ob2xpY3MgQW5vbnltb3VzIChBQSk_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBnb3R0ZW4gaW50byBwaHlzaWNhbCBmaWdodHMgd2hlbiBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3UgZHJpbmtpbmcgZXZlciBjcmVhdGVkIHByb2JsZW1zIGJldHdlZW4geW91IGFuZCB5b3VyIHdpZmUsIGh1c2JhbmQsIGEgcGFyZW50LCBvciBvdGhlciByZWxhdGl2ZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3VyIHdpZmUsIGh1c2JhbmQgKG9yIG90aGVyIGZhbWlseSBtZW1iZXJzKSBldmVyIGdvbmUgdG8gYW55b25lIGZvciBoZWxwIGFib3V0IHlvdXIgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGxvc3QgZnJpZW5kcyBiZWNhdXNlIG9mIHlvdXIgZHJpbmtpbmc_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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGJlZW4gYXJyZXN0ZWQgZm9yIGRydW5rIGRyaXZpbmcsIGRyaXZpbmcgd2hpbGUgaW50b3hpY2F0ZWQsIG9yIGRyaXZpbmcgdW5kZXIgdGhlIGluZmx1ZW5jZSBvZiBhbGNvaG9saWMgYmV2ZXJhZ2VzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiYS4gSG93IG1hbnkgdGltZXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJBc2sgYWxsLCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZXZlciBiZWVuIGFycmVzdGVkLCBvciB0YWtlbiBpbnRvIGN1c3RvZHkgZXZlbiBmb3IgYSBmZXcgaG91cnMsIGJlY2F1c2Ugb2Ygb3RoZXIgZHJ1bmsgYmVoYXZpb3I_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJhLiBIb3cgbWFueSB0aW1lcz8ifV19LCB7Imluc3RydW1lbnRfbmFtZSI6ICJEcnVnLCBBbGNvaG9sIGFuZCBTZWxmIEluanVyeSBRdWVzdGlvbm5haXJlIChEQVNJKSIsICJxdWVzdGlvbnMiOiBbeyJxdWVzdGlvbl90ZXh0IjogIkl0ZW1zIGluY2x1ZGU6In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIER1cmluZyB0aGUgbGFzdCBtb250aCwgaG93IG9mdGVuIGRpZCB5b3UgdGFrZS91c2UgY2FubmFiaXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIER1cmluZyB0aGUgbGFzdCBtb250aCwgaG93IG9mdGVuIGRpZCB5b3UgZHJpbmsgc3Bpcml0cz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIi0gRHVyaW5nIHRoZSBsYXN0IG1vbnRoLCBob3cgb2Z0ZW4gZGlkIHlvdSBkcmluayBiZWVyIG9yIGNpZGVyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBJbiB0aGUgbGFzdCA2IG1vbnRocywgaG93IG9mdGVuIGhhdmUgeW91IGJlZW4gZHJ1bmsgaW4gdGhlIHdheSJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiZGVzY3JpYmVkIGluIFE3PyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBIYXZlIHlvdSBldmVyIGJlZW4gZHJ1bms_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIER1cmluZyB0aGUgbGFzdCBtb250aCwgaG93IG9mdGVuIGRpZCB5b3UgZHJpbmsgd2luZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIi0gRHVyaW5nIHRoZSBsYXN0IG1vbnRoLCBob3cgb2Z0ZW4gZGlkIHlvdSBzbW9rZSBhIGNpZ2FyZXR0ZS9zPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBEdXJpbmcgdGhlIGxhc3QgbW9udGgsIG9uIHRoZSBkYXlzIHlvdSBzbW9rZWQsIG9uIGF2ZXJhZ2UgaG93IG1hbnkifSwgeyJxdWVzdGlvbl90ZXh0IjogImNpZ2FyZXR0ZXMgZGlkIHlvdSBzbW9rZSBwZXIgZGF5PyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBIYXZlIHlvdSBldmVyIHRyaWVkIHRvIGh1cnQgeW91cnNlbGYgb24gcHVycG9zZSB3aXRob3V0IHRyeWluZyB0byBraWxsIHlvdXJzZWxmPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBFeGNsdWRpbmcgdGhlIGxhc3QgbW9udGgsIGhhdmUgeW91IHRyaWVkIHRvIGh1cnQgeW91cnNlbGYgb24gcHVycG9zZSJ9LCB7InF1ZXN0aW9uX3RleHQiOiAid2l0aG91dCB0cnlpbmcgdG8ga2lsbCB5b3Vyc2VsZiBpbiB0aGUgbGFzdCAxMiBtb250aHM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIEV4Y2x1ZGluZyB0aGUgbGFzdCBtb250aCwgaG93IGhhdmUgeW91IHRyaWVkIHRvIGh1cnQgeW91cnNlbGYifSwgeyJxdWVzdGlvbl90ZXh0IjogIndpdGhvdXQgdHJ5aW5nIHRvIGtpbGwgeW91cnNlbGYgaW4gdGhlIGxhc3QgMTIgbW9udGhzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiLSBJbiB0aGUgbGFzdCBtb250aCwgaG93IGhhdmUgeW91IHRyaWVkIHRvIGh1cnQgeW91cnNlbGYgd2l0aG91dCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAidHJ5aW5nIHRvIGtpbGwgeW91cnNlbGY_In0sIHsicXVlc3Rpb25fdGV4dCI6ICItIEluIHRoZSBsYXN0IG1vbnRoLCB3aHkgaGF2ZSB5b3UgdHJpZWQgdG8gaHVydCB5b3Vyc2VsZiB3aXRob3V0IHRyeWluZyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAidG8ga2lsbCB5b3Vyc2VsZj8ifV19XQ==" target="harmonyapp">Import just DASI into Harmony</a> - compare DASI with other instruments
 
-Harmony is built on advanced natural language processing technologies and AI models that hugely simplify the harmonization process. It enables us to quickly and accurately match items from both MAST and DASI, rendering the entire process more objective. Harmony can provide a percentage match between individual items in both questionnaires, ensuring an efficient comparison of MAST vs DASI. It can also compare items in multiple languages for studies requiring cross-cultural comparisons.
+Harmony is built on advanced natural language processing technologies and AI models that hugely simplify the harmonisation process. It enables us to quickly and accurately match items from both MAST and DASI, rendering the entire process more objective. Harmony can provide a percentage match between individual items in both questionnaires, ensuring an efficient comparison of MAST vs DASI. It can also compare items in multiple languages for studies requiring cross-cultural comparisons.
 
 
 ## You may also be interested in these harmonisations
@@ -32,7 +32,7 @@ Harmony is built on advanced natural language processing technologies and AI mod
 
 
 
-Taking advantage of Harmony's impressive features allows us to optimize our research process significantly. By feeding MAST and DASI instruments into Harmony's platform, we can effortlessly get them harmonized and ready for our comparative analysis. Be it checking consistency across studies or identifying changes in response to social conditions, Harmony proves invaluable in a MAST vs DASI comparison. Hence, shifting this process to a digital platform guarantees unparalleled accuracy, saving copious amounts of time, and reduces the risk of manual errors.
+Taking advantage of Harmony's impressive features allows us to optimize our research process significantly. By feeding MAST and DASI instruments into Harmony's platform, we can effortlessly get them harmonised and ready for our comparative analysis. Be it checking consistency across studies or identifying changes in response to social conditions, Harmony proves invaluable in a MAST vs DASI comparison. Hence, shifting this process to a digital platform guarantees unparalleled accuracy, saving copious amounts of time, and reduces the risk of manual errors.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md
index 9c945ea8..556a70cb 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md
@@ -16,7 +16,7 @@ Harmonising questionnaires, especially between something as specific and as broa
 * <a href="https://harmonydata.ac.uk/app/#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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJEbyB5b3UgZXZlciBmZWVsIGd1aWx0eSBhYm91dCB5b3VyIGRyaW5raW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRG8gZnJpZW5kcyBvciByZWxhdGl2ZXMgdGhpbmsgeW91IGFyZSBhIG5vcm1hbCBkcmlua2VyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQXJlIHlvdSBhYmxlIHRvIHN0b3AgZHJpbmtpbmcgd2hlbiB5b3Ugd2FudCB0bz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgYXR0ZW5kZWQgYSBtZWV0aW5nIG9mIEFsY29ob2xpY3MgQW5vbnltb3VzIChBQSk_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBnb3R0ZW4gaW50byBwaHlzaWNhbCBmaWdodHMgd2hlbiBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3UgZHJpbmtpbmcgZXZlciBjcmVhdGVkIHByb2JsZW1zIGJldHdlZW4geW91IGFuZCB5b3VyIHdpZmUsIGh1c2JhbmQsIGEgcGFyZW50LCBvciBvdGhlciByZWxhdGl2ZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3VyIHdpZmUsIGh1c2JhbmQgKG9yIG90aGVyIGZhbWlseSBtZW1iZXJzKSBldmVyIGdvbmUgdG8gYW55b25lIGZvciBoZWxwIGFib3V0IHlvdXIgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGxvc3QgZnJpZW5kcyBiZWNhdXNlIG9mIHlvdXIgZHJpbmtpbmc_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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGJlZW4gYXJyZXN0ZWQgZm9yIGRydW5rIGRyaXZpbmcsIGRyaXZpbmcgd2hpbGUgaW50b3hpY2F0ZWQsIG9yIGRyaXZpbmcgdW5kZXIgdGhlIGluZmx1ZW5jZSBvZiBhbGNvaG9saWMgYmV2ZXJhZ2VzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiYS4gSG93IG1hbnkgdGltZXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJBc2sgYWxsLCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZXZlciBiZWVuIGFycmVzdGVkLCBvciB0YWtlbiBpbnRvIGN1c3RvZHkgZXZlbiBmb3IgYSBmZXcgaG91cnMsIGJlY2F1c2Ugb2Ygb3RoZXIgZHJ1bmsgYmVoYXZpb3I_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" target="harmonyapp">Import just HAS into Harmony</a> - compare HAS with other instruments
 
 
-Harmony can match the items within the MAST and HAS tests in multiple languages and provide a percentage match between each item on the two instruments. By harnessing large language models to automate the harmonization process, the time-consuming, manual task of comparing and matching questionnaire items, like those in `MAST vs HAS`, becomes significantly less taxing. This enables researchers to validate their findings across multiple studies and shifting societal conditions, bolstering the reliability and impact of their work.
+Harmony can match the items within the MAST and HAS tests in multiple languages and provide a percentage match between each item on the two instruments. By harnessing large language models to automate the harmonisation process, the time-consuming, manual task of comparing and matching questionnaire items, like those in `MAST vs HAS`, becomes significantly less taxing. This enables researchers to validate their findings across multiple studies and shifting societal conditions, bolstering the reliability and impact of their work.
 
 ## You may also be interested in these harmonisations
 
@@ -33,7 +33,7 @@ Harmony can match the items within the MAST and HAS tests in multiple languages
 
 
 
-Given these capabilities, Harmony is poised to become an integral tool for psychologists, psychiatrists, and social scientists in their research journeys. By visiting Harmony's web interface, uploading questionnaires and entrusting the harmonization process to Harmony, researchers can devote more time and effort to in-depth analysis and deriving meaningful conclusions. When comparing `MAST vs HAS`, or any other psychological tools, remember that Harmony turns complications into simplicity, detail into overview, and data into knowledge.
+Given these capabilities, Harmony is poised to become an integral tool for psychologists, psychiatrists, and social scientists in their research journeys. By visiting Harmony's web interface, uploading questionnaires and entrusting the harmonisation process to Harmony, researchers can devote more time and effort to in-depth analysis and deriving meaningful conclusions. When comparing `MAST vs HAS`, or any other psychological tools, remember that Harmony turns complications into simplicity, detail into overview, and data into knowledge.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md
index 799bae9f..de72e108 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md
@@ -15,7 +15,7 @@ When it comes to alcoholism screening instruments, two popular ones are the Mich
 * <a href="https://harmonydata.ac.uk/app/#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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJEbyB5b3UgZXZlciBmZWVsIGd1aWx0eSBhYm91dCB5b3VyIGRyaW5raW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRG8gZnJpZW5kcyBvciByZWxhdGl2ZXMgdGhpbmsgeW91IGFyZSBhIG5vcm1hbCBkcmlua2VyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQXJlIHlvdSBhYmxlIHRvIHN0b3AgZHJpbmtpbmcgd2hlbiB5b3Ugd2FudCB0bz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgYXR0ZW5kZWQgYSBtZWV0aW5nIG9mIEFsY29ob2xpY3MgQW5vbnltb3VzIChBQSk_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBnb3R0ZW4gaW50byBwaHlzaWNhbCBmaWdodHMgd2hlbiBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3UgZHJpbmtpbmcgZXZlciBjcmVhdGVkIHByb2JsZW1zIGJldHdlZW4geW91IGFuZCB5b3VyIHdpZmUsIGh1c2JhbmQsIGEgcGFyZW50LCBvciBvdGhlciByZWxhdGl2ZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3VyIHdpZmUsIGh1c2JhbmQgKG9yIG90aGVyIGZhbWlseSBtZW1iZXJzKSBldmVyIGdvbmUgdG8gYW55b25lIGZvciBoZWxwIGFib3V0IHlvdXIgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGxvc3QgZnJpZW5kcyBiZWNhdXNlIG9mIHlvdXIgZHJpbmtpbmc_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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGJlZW4gYXJyZXN0ZWQgZm9yIGRydW5rIGRyaXZpbmcsIGRyaXZpbmcgd2hpbGUgaW50b3hpY2F0ZWQsIG9yIGRyaXZpbmcgdW5kZXIgdGhlIGluZmx1ZW5jZSBvZiBhbGNvaG9saWMgYmV2ZXJhZ2VzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiYS4gSG93IG1hbnkgdGltZXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJBc2sgYWxsLCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZXZlciBiZWVuIGFycmVzdGVkLCBvciB0YWtlbiBpbnRvIGN1c3RvZHkgZXZlbiBmb3IgYSBmZXcgaG91cnMsIGJlY2F1c2Ugb2Ygb3RoZXIgZHJ1bmsgYmVoYXZpb3I_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" target="harmonyapp">Import just MAST into Harmony</a> - compare MAST with other instruments
 * <a href="https://harmonydata.ac.uk/app/#/import/W3siaW5zdHJ1bWVudF9uYW1lIjogIk1pY2hpZ2FuIEFsY29ob2xpc20gU2NyZWVuaW5nIFRlc3QgKE1BU1QpIiwgInF1ZXN0aW9ucyI6IFt7InF1ZXN0aW9uX3RleHQiOiAiRG8geW91IGVuam95IGRyaW5raW5nIG5vdyBhbmQgdGhlbj8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkRvIHlvdSBmZWVsIHlvdSBhcmUgYSBub3JtYWwgZHJpbmtlcj8gKFwibm9ybWFsXCIgLSBkcmluayBhcyBtdWNoIG9yIGxlc3MgdGhhbiBtb3N0IG90aGVyIHBlb3BsZSkifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgYXdha2VuZWQgdGhlIG1vcm5pbmcgYWZ0ZXIgc29tZSBkcmlua2luZyB0aGUgbmlnaHQgYmVmb3JlIGFuZCBmb3VuZCB0aGF0IHlvdSBjb3VsZCBub3QgcmVtZW1iZXIgYSBwYXJ0IG9mIHRoZSBldmVuaW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRG9lcyB5b3VyIHdpZmUsIGh1c2JhbmQsIGEgcGFyZW50LCBvciBvdGhlciBuZWFyIHJlbGF0aXZlIGV2ZXIgd29ycnkgb3IgY29tcGxhaW4gYWJvdXQgeW91ciBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkNhbiB5b3Ugc3RvcCBkcmlua2luZyB3aXRob3V0IGEgc3RydWdnbGUgYWZ0ZXIgb25lIG9yIHR3byBkcmlua3M_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJEbyB5b3UgZXZlciBmZWVsIGd1aWx0eSBhYm91dCB5b3VyIGRyaW5raW5nPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRG8gZnJpZW5kcyBvciByZWxhdGl2ZXMgdGhpbmsgeW91IGFyZSBhIG5vcm1hbCBkcmlua2VyPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQXJlIHlvdSBhYmxlIHRvIHN0b3AgZHJpbmtpbmcgd2hlbiB5b3Ugd2FudCB0bz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhdmUgeW91IGV2ZXIgYXR0ZW5kZWQgYSBtZWV0aW5nIG9mIEFsY29ob2xpY3MgQW5vbnltb3VzIChBQSk_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBnb3R0ZW4gaW50byBwaHlzaWNhbCBmaWdodHMgd2hlbiBkcmlua2luZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3UgZHJpbmtpbmcgZXZlciBjcmVhdGVkIHByb2JsZW1zIGJldHdlZW4geW91IGFuZCB5b3VyIHdpZmUsIGh1c2JhbmQsIGEgcGFyZW50LCBvciBvdGhlciByZWxhdGl2ZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkhhcyB5b3VyIHdpZmUsIGh1c2JhbmQgKG9yIG90aGVyIGZhbWlseSBtZW1iZXJzKSBldmVyIGdvbmUgdG8gYW55b25lIGZvciBoZWxwIGFib3V0IHlvdXIgZHJpbmtpbmc_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGxvc3QgZnJpZW5kcyBiZWNhdXNlIG9mIHlvdXIgZHJpbmtpbmc_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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJIYXZlIHlvdSBldmVyIGJlZW4gYXJyZXN0ZWQgZm9yIGRydW5rIGRyaXZpbmcsIGRyaXZpbmcgd2hpbGUgaW50b3hpY2F0ZWQsIG9yIGRyaXZpbmcgdW5kZXIgdGhlIGluZmx1ZW5jZSBvZiBhbGNvaG9saWMgYmV2ZXJhZ2VzPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiYS4gSG93IG1hbnkgdGltZXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJBc2sgYWxsLCJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiSGF2ZSB5b3UgZXZlciBiZWVuIGFycmVzdGVkLCBvciB0YWtlbiBpbnRvIGN1c3RvZHkgZXZlbiBmb3IgYSBmZXcgaG91cnMsIGJlY2F1c2Ugb2Ygb3RoZXIgZHJ1bmsgYmVoYXZpb3I_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" target="harmonyapp">Import just RAPI into Harmony</a> - compare RAPI with other instruments
 
-Harmony helps align and compare these two instruments in a manner that is both effective and efficient. Leveraging advanced features such as natural language processing and AI models, Harmony bridges the gap between these tools and aids in harmonization. MAST vs RAPI is no longer a time-consuming task.
+Harmony helps align and compare these two instruments in a manner that is both effective and efficient. Leveraging advanced features such as natural language processing and AI models, Harmony bridges the gap between these tools and aids in harmonisation. MAST vs RAPI is no longer a time-consuming task.
 
 
 ## You may also be interested in these harmonisations
diff --git a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md
index 20e0431b..fd2b7964 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md
@@ -7,7 +7,7 @@ aliases:
 
 ## RAPI vs ASSIST
 
-The 'Rutgers Alcohol Problem Index' (RAPI) and the 'Alcohol, Smoking, and Substance Involvement Screening Test - Substance Use' (ASSIST) are two integral tools in the field of psychology for assessing addictive behaviors. Comparing these two questionnaires can often be a difficult and time-consuming task for researchers. However, the software tool Harmony simplifies this process by harmonizing questionnaire items effectively in multiple languages, making the task of comparing RAPI vs ASSIST a breeze.
+The 'Rutgers Alcohol Problem Index' (RAPI) and the 'Alcohol, Smoking, and Substance Involvement Screening Test - Substance Use' (ASSIST) are two integral tools in the field of psychology for assessing addictive behaviors. Comparing these two questionnaires can often be a difficult and time-consuming task for researchers. However, the software tool Harmony simplifies this process by harmonising questionnaire items effectively in multiple languages, making the task of comparing RAPI vs ASSIST a breeze.
 
 ## Compare the items in RAPI and ASSIST
 
@@ -30,7 +30,7 @@ Harmony employs large language models to match items from RAPI and ASSIST, provi
 
 {{< youtube cEZppTBj1NI >}}
 
-Hence, for the comparison study of RAPI vs ASSIST, Harmony serves as an ideal tool. In conclusion, for psychologists and social scientists looking to conduct a comparison between RAPI and ASSIST, Harmony is the go-to tool. Its convenience, accuracy, and ease of use make the often tedious task of questionnaire harmonization simple and efficient. Thus, in the comparison study of RAPI vs ASSIST, Harmony undoubtedly adds significant value, empowering researchers to focus on the analysis and interpretation stages of their work.
+Hence, for the comparison study of RAPI vs ASSIST, Harmony serves as an ideal tool. In conclusion, for psychologists and social scientists looking to conduct a comparison between RAPI and ASSIST, Harmony is the go-to tool. Its convenience, accuracy, and ease of use make the often tedious task of questionnaire harmonisation simple and efficient. Thus, in the comparison study of RAPI vs ASSIST, Harmony undoubtedly adds significant value, empowering researchers to focus on the analysis and interpretation stages of their work.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md
index 453cbe07..d969cc0b 100644
--- a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md
+++ b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md
@@ -7,7 +7,7 @@ aliases:
 
 ## RAPI vs DASI
 
-Software Harmonization of questionnaires is vital when comparing psychological instruments like the Rutgers Alcohol Problem Index (RAPI) and the Drug, Alcohol and Self Injury Questionnaire (DASI). "RAPI vs DASI," is a common issue faced by professionals who deal with these indices but, with the Harmony tool, you can proficiently compare these surveys across languages and obtain a percentage match between each item.
+Software harmonisation of questionnaires is vital when comparing psychological instruments like the Rutgers Alcohol Problem Index (RAPI) and the Drug, Alcohol and Self Injury Questionnaire (DASI). "RAPI vs DASI," is a common issue faced by professionals who deal with these indices but, with the Harmony tool, you can proficiently compare these surveys across languages and obtain a percentage match between each item.
 
 ## Compare the items in RAPI and DASI
 
diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md
index 9bee1013..7103820a 100644
--- a/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md
+++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md
@@ -16,7 +16,7 @@ The comparison between AOSI (Autism Observation Scale for Infants) and ADOS (Aut
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just ADOS into Harmony</a> - compare ADOS with other instruments
 
 
-Harmony, with its state-of-the-art technology and AI capabilities, can help you harmonize and compare AOSI and ADOS. Harmony not only compares the items in AOSI and ADOS, but it also provides a percentage match between each item. This feature can greatly save time and increase the efficiency of clinical psychologists and researchers.
+Harmony, with its state-of-the-art technology and AI capabilities, can help you harmonise and compare AOSI and ADOS. Harmony not only compares the items in AOSI and ADOS, but it also provides a percentage match between each item. This feature can greatly save time and increase the efficiency of clinical psychologists and researchers.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md
index acf85329..e880bb73 100644
--- a/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md
+++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md
@@ -7,7 +7,7 @@ aliases:
 
 ## AOSI vs BAPQ: A Comparative Analysis with Harmony
 
-Harmony has revolutionized the harmonization process of psychological questionnaires like AOSI (Autism Observation Scale for Infants) and BAPQ (Broad Autism Phenotype Questionnaire). With AI, Harmony is able to compare each item in AOSI Vs BAPQ, making it an invaluable tool for psychologists interested in autism studies.
+Harmony has revolutionized the harmonisation process of psychological questionnaires like AOSI (Autism Observation Scale for Infants) and BAPQ (Broad Autism Phenotype Questionnaire). With AI, Harmony is able to compare each item in AOSI Vs BAPQ, making it an invaluable tool for psychologists interested in autism studies.
 
 ## Compare the items in AOSI and BAPQ
 
diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md
index ffabaadf..f394ae6f 100644
--- a/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md
+++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md
@@ -9,7 +9,7 @@ aliases:
 
 # AOSI vs CHAT: A Comparative Analysis
 
-The 'Autism Observation Scale for Infants' (AOSI) and the 'Checklist for Autism in Toddlers' (CHAT) are two crucial instruments used to detect early signs of Autism. However, difficulties could arise when researchers attempt to harmonize or compare the items in these questionnaires. This is where ‘Harmony’ comes in the picture.
+The 'Autism Observation Scale for Infants' (AOSI) and the 'Checklist for Autism in Toddlers' (CHAT) are two crucial instruments used to detect early signs of Autism. However, difficulties could arise when researchers attempt to harmonise or compare the items in these questionnaires. This is where ‘Harmony’ comes in the picture.
 
 ## Compare the items in AOSI and CHAT
 
@@ -26,7 +26,7 @@ The 'Autism Observation Scale for Infants' (AOSI) and the 'Checklist for Autism
 
 
 
-Harmony can be highly advantageous for researchers wishing to conduct a comparative analysis of AOSI vs CHAT. Harmony uses advanced natural language processing and generative AI models to help researchers harmonize questionnaire items, even in different languages. It uses large language models to compare instruments and provides a percentage match between each item in both AOSI and CHAT.
+Harmony can be highly advantageous for researchers wishing to conduct a comparative analysis of AOSI vs CHAT. Harmony uses advanced natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages. It uses large language models to compare instruments and provides a percentage match between each item in both AOSI and CHAT.
 
 
 {{< card heading="Try Harmony" copy="Compare AOSI and CHAT " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md b/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md
index 05514093..a2f90c28 100644
--- a/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md
+++ b/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md
@@ -7,7 +7,7 @@ aliases:
 
 ## AQ-10 vs ADOS: A Comparative Study using Harmony
 
-Psychologists exploring autistic disorders often come across two significant sets of questionnaires: Autism Quotient (10-item) (AQ-10) and Autism Diagnostic Observation Schedule (ADOS). These tools assist in examining and diagnosing individuals on the autism spectrum. The comparison, or in technical terms, harmonization of AQ-10 vs ADOS, can be a complex process given the varying angles and parameters each questionnaire focuses on.
+Psychologists exploring autistic disorders often come across two significant sets of questionnaires: Autism Quotient (10-item) (AQ-10) and Autism Diagnostic Observation Schedule (ADOS). These tools assist in examining and diagnosing individuals on the autism spectrum. The comparison, or in technical terms, harmonisation of AQ-10 vs ADOS, can be a complex process given the varying angles and parameters each questionnaire focuses on.
 
 ## Compare the items in AQ-10 and ADOS
 
@@ -31,7 +31,7 @@ Harmony, designed specifically for psychologists and researchers, emerges as a g
 
 {{< youtube cEZppTBj1NI >}}
 
-Harmony is capable of computing a percentage match, thereby quantifying how aligned each item is across the two instruments. Furthermore, Harmony boasts a built-in database loaded with a plethora of instruments, including but not limited to AQ-10 and ADOS, that users can readily access for comparative purposes. The AQ-10 vs ADOS comparison becomes more accessible, precise, and time-efficient with Harmony. Its multilingual functionality can be a game-changer for studies involving participants from diverse linguistic backgrounds. Harmony's adeptness at handling various languages broadens the scopes of cross-cultural studies examining autism. Harmony's user-friendly web interface further enhances the overall harmonisation process, encouraging researchers to perform comparative studies more frequently. Looking at AQ-10 vs ADOS, psychologists can undoubtedly benefit from the technological prowess that Harmony provides.
+Harmony is capable of computing a percentage match, thereby quantifying how aligned each item is across the two instruments. Furthermore, Harmony boasts a built-in database loaded with a plethora of instruments, including but not limited to AQ-10 and ADOS, that users can readily access for comparative purposes. The AQ-10 vs ADOS comparison becomes more accessible, precise, and time-efficient with Harmony. Its [multilingual functionality](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) can be a game-changer for studies involving participants from diverse linguistic backgrounds. Harmony's adeptness at handling various languages broadens the scopes of cross-cultural studies examining autism. Harmony's user-friendly web interface further enhances the overall harmonisation process, encouraging researchers to perform comparative studies more frequently. Looking at AQ-10 vs ADOS, psychologists can undoubtedly benefit from the technological prowess that Harmony provides.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md b/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md
index 4dc76d1c..38d1d0e4 100644
--- a/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md
+++ b/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md
@@ -33,7 +33,7 @@ Harmony facilitates the comparison of AQ-10 and AQ-20 by providing a percentage
 
 
 
-Harmonizing AQ-10 vs AQ-20 has never been easier with Harmony's database, which users can utilize, or they can also add their instruments in PDF form through the website's interface. As such, the tool is a must-have for those facing the AQ-10 vs AQ-20 comparison challenge, as it simplifies what could otherwise be a complex and time-consuming process.
+harmonising AQ-10 vs AQ-20 has never been easier with Harmony's database, which users can utilize, or they can also add their instruments in PDF form through the website's interface. As such, the tool is a must-have for those facing the AQ-10 vs AQ-20 comparison challenge, as it simplifies what could otherwise be a complex and time-consuming process.
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
 
diff --git a/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md b/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md
index 7d4df567..d9f3df37 100644
--- a/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md
+++ b/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md
@@ -17,7 +17,7 @@ In autism research, two key instruments frequently brought to the table are the
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just ADOS into Harmony</a> - compare ADOS with other instruments
 
 
-Given the potential benefits of comparing AQ-20 vs ADOS, we recommend utilizing the intelligent software - Harmony. Harmony, a product of cutting-edge technological advancements, is a tool that seamlessly harmonizes items from both AQ-20 and ADOS using large language models. It offers the opportunity to assess each item's correlation in both instruments for a comprehensive comparison and understanding of AQ-20 vs ADOS.
+Given the potential benefits of comparing AQ-20 vs ADOS, we recommend utilizing the intelligent software - Harmony. Harmony, a product of cutting-edge technological advancements, is a tool that seamlessly harmonises items from both AQ-20 and ADOS using large language models. It offers the opportunity to assess each item's correlation in both instruments for a comprehensive comparison and understanding of AQ-20 vs ADOS.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md b/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md
index 26e71a52..18b14a34 100644
--- a/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md
+++ b/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md
@@ -17,7 +17,7 @@ For psychologists and social scientists focusing on the Autism Spectrum, compari
 
 
 
-Offering a user-friendly platform, Harmony makes comparing AQ-20 vs BAPQ seamless and less time-consuming. You just need to select the instruments from the Harmony database or drop your PDFs directly into the Harmony's web interface. Going beyond language barriers, it also compares items in different languages, making it a comprehensive tool for multinational or multilingual studies. Looking at AQ-20 vs BAPQ, Harmony allows researchers to capitalize on longitudinal or cohort studies by facilitating comparisons both within and across these studies.
+Offering a user-friendly platform, Harmony makes comparing AQ-20 vs BAPQ seamless and less time-consuming. You just need to select the instruments from the Harmony database or drop your PDFs directly into the Harmony's web interface. Going beyond language barriers, it also compares items in different languages, making it a comprehensive tool for multinational or [multilingual studies](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/). Looking at AQ-20 vs BAPQ, Harmony allows researchers to capitalize on longitudinal or cohort studies by facilitating comparisons both within and across these studies.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md b/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md
index 19cd37ab..487f5141 100644
--- a/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md
+++ b/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md
@@ -7,7 +7,7 @@ aliases:
 
 ## CHAT vs AQ-10
 
-Comparing questionnaires like CHAT (Checklist for Autism in Toddlers) and AQ-10 (Autism Quotient 10-item) is often a daunting and laborious task for researchers. Nevertheless, recognizing similarities and differences in such instruments can be crucial for correlational studies or meta-analyses. Thus, we recommend utilizing Harmony, a cutting-edge tool developed specifically for analyzing and comparing psychological questionnaires.
+Comparing questionnaires like CHAT (Checklist for Autism in Toddlers) and AQ-10 (Autism Quotient 10-item) is often a daunting and laborious task for researchers. Nevertheless, recognizing similarities and differences in such instruments can be crucial for correlational studies or meta-analyses. Thus, we recommend utilizing Harmony, a cutting-edge tool developed specifically for analysing and comparing psychological questionnaires.
 
 ## Compare the items in CHAT and AQ-10
 
@@ -17,7 +17,7 @@ Comparing questionnaires like CHAT (Checklist for Autism in Toddlers) and AQ-10
 
 
 
-Through innovative use of artificial intelligence, Harmony streamlines the tedious task of manual comparison, transforming CHAT vs AQ-10 comparison into a streamlined process. Harmony's AI-driven system is capable of comparing each item in CHAT and AQ-10, assigning a percentage similarity. This not only accelerates the harmonization process but also reduces the subjective bias associated with manual item-matching. With Harmony, batch comparison of CHAT vs AQ-10 can be achieved in minutes instead of days, leading to more efficient analysis and improved data integrity.
+Through innovative use of artificial intelligence, Harmony streamlines the tedious task of manual comparison, transforming CHAT vs AQ-10 comparison into a streamlined process. Harmony's AI-driven system is capable of comparing each item in CHAT and AQ-10, assigning a percentage similarity. This not only accelerates the harmonisation process but also reduces the subjective bias associated with manual item-matching. With Harmony, batch comparison of CHAT vs AQ-10 can be achieved in minutes instead of days, leading to more efficient analysis and improved data integrity.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md
index d20b8835..08a63a98 100644
--- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md
+++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md
@@ -32,7 +32,7 @@ The Beck Anxiety Inventory vs PSF comparison can be much easier, more accurate,
 
 
 
-Sifting through lengthy PDFs and manually matching questions becomes a thing of the past. Harmony analyzes the items from each questionnaire and offers a percentage match for each item, making it easier to determine the similarities. Why manually do when AI can assist in more reliable and efficient manner? Use Harmony to compare the Beck Anxiety Inventory vs PSF and derive insightful conclusions. With Harmony's intuitive web interface, you can easily select instruments from the provided database, or upload your questionnaire in PDF form. Plus, Harmony's powerful AI can handle comparisons in multiple languages.
+Sifting through lengthy PDFs and manually matching questions becomes a thing of the past. Harmony analyses the items from each questionnaire and offers a percentage match for each item, making it easier to determine the similarities. Why manually do when AI can assist in more reliable and efficient manner? Use Harmony to compare the Beck Anxiety Inventory vs PSF and derive insightful conclusions. With Harmony's intuitive web interface, you can easily select instruments from the provided database, or upload your questionnaire in PDF form. Plus, Harmony's powerful AI can handle comparisons in multiple languages.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md
index 4c4916ea..4496f0a1 100644
--- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md
+++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md
@@ -17,7 +17,7 @@ Comparative analysis of different psychological evaluations like the Beck Anxiet
 * [See RCADS in PDF](https://rcads.ucla.edu/versions)
 
 
-Harmony, using its advanced natural language processing and AI models, allows the examination of these assessments to be carried out in a more time-efficient and cogent manner. Given the significant similarities between the Beck Anxiety Inventory and RCADS such as their focus in analyzing anxiety levels, Harmony offers a novel approach in comparing these by providing a percentage match between the elements, thus simplifying the harmonization process. It grants seamless deciphers of every question, including those in different languages, hence providing an in-depth comparison of the two inventories.
+Harmony, using its advanced natural language processing and AI models, allows the examination of these assessments to be carried out in a more time-efficient and cogent manner. Given the significant similarities between the Beck Anxiety Inventory and RCADS such as their focus in analysing anxiety levels, Harmony offers a novel approach in comparing these by providing a percentage match between the elements, thus simplifying the harmonisation process. It grants seamless deciphers of every question, including those in different languages, hence providing an in-depth comparison of the two inventories.
 
 ## You may also be interested in these harmonisations
 
@@ -32,7 +32,7 @@ Harmony, using its advanced natural language processing and AI models, allows th
 {{< youtube cEZppTBj1NI >}}
 
 
-For psychologists and researchers who require exhaustive comprehension of assessments like the Beck Anxiety Inventory vs RCADS, Harmony is an invaluable analytical tool. By digitizing the process of juxtaposing and harmonizing the distinct aspects of these assessments, Harmony presents a user-friendly solution, helping the researchers to test their hypotheses more accurately and validate their results against a much wider set of comparisons.
+For psychologists and researchers who require exhaustive comprehension of assessments like the Beck Anxiety Inventory vs RCADS, Harmony is an invaluable analytical tool. By digitizing the process of juxtaposing and harmonising the distinct aspects of these assessments, Harmony presents a user-friendly solution, helping the researchers to test their hypotheses more accurately and validate their results against a much wider set of comparisons.
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
 
diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md
index 8fb7bff0..ad0e6ae8 100644
--- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md
+++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md
@@ -15,7 +15,7 @@ Using comprehensive tools to compare different psychological assessments can pro
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just Beck Anxiety Inventory into Harmony</a> - compare Beck Anxiety Inventory with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just SMFQ into Harmony</a> - compare SMFQ with other instruments
 
-The Beck Anxiety Inventory vs SMFQ comparison can be efficiently facilitated by Harmony. Harmony is a tool designed for researchers in psychology and social sciences. It is configured to harmonize questionnaire items by leveraging generative AI models and natural language processing. In the context of Beck Anxiety Inventory vs SMFQ, Harmony uses large language models to compare the contents of the two instruments, providing a percentage match between every item in them. This enables researchers to draw a detailed comparison between the questions on both assessments, aiding in the cross-examination of study results or identifying potential overlaps and gaps between different studies.
+The Beck Anxiety Inventory vs SMFQ comparison can be efficiently facilitated by Harmony. Harmony is a tool designed for researchers in psychology and social sciences. It is configured to harmonise questionnaire items by leveraging generative AI models and natural language processing. In the context of Beck Anxiety Inventory vs SMFQ, Harmony uses large language models to compare the contents of the two instruments, providing a percentage match between every item in them. This enables researchers to draw a detailed comparison between the questions on both assessments, aiding in the cross-examination of study results or identifying potential overlaps and gaps between different studies.
 
 
 ## You may also be interested in these harmonisations
diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md b/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md
index 3a7e164a..6ec7e924 100644
--- a/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md
+++ b/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md
@@ -5,7 +5,7 @@ aliases:
   - "/ces-d-vs-cbcl"
 ---
 
-## CES-D vs CBCL: A Harmonized Comparison
+## CES-D vs CBCL: A harmonised Comparison
 
 Comparing psychological instruments like the Center for Epidemiological Studies-Depression (CES-D) and the Child Behavior Checklist (CBCL) can be a challenging yet crucial task. CES-D vs CBCL comparisons are essential to create more comprehensive strategies for mental health intervention. Harmony, a sophisticated tool with a state-of-the-art AI system, can be of immense aid in this regard.
 
diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-gad-7.md b/content/en/compare-harmonise-instruments/ces-d-vs-gad-7.md
index f8c7e72a..730ec2f4 100644
--- a/content/en/compare-harmonise-instruments/ces-d-vs-gad-7.md
+++ b/content/en/compare-harmonise-instruments/ces-d-vs-gad-7.md
@@ -7,7 +7,7 @@ aliases:
 
 ## Harmonising Mental Health Measures: CES-D vs GAD-7
 
-Many psychologists, health professionals, and researchers often grapple with the problem of comparing different questionnaire items like CES-D or the Generalized Anxiety Disorder Assessment (GAD-7), either due to language barriers or inherent differences in the questionnaires.
+Many psychologists, health professionals, and researchers often grapple with the problem of comparing different questionnaire items like CES-D or the Generalized Anxiety Disorder Assessment (GAD-7), either due to [language barriers](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) or inherent differences in the questionnaires.
 
 Thankfully, CES-D vs GAD-7 comparisons are now much simpler and more efficient thanks to the cutting-edge software called Harmony.
 
@@ -20,7 +20,7 @@ Thankfully, CES-D vs GAD-7 comparisons are now much simpler and more efficient t
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just GAD-7 into Harmony</a> - compare GAD-7 English with other instruments
 * [See CES-D in PDF](https://nida.nih.gov/sites/default/files/Mental_HealthV.pdf)
 
-Harmony uses natural language processing and generative AI models to harmonize questionnaire items like CES-D and GAD-7, regardless of the language they are in. This exciting technology eases the often laborious and subjective process of questionnaire harmonization, improving researchers' productivity and reducing errors. Consider CES-D, a lengthy, 20-item questionnaire that measures symptoms associated with depression. Contrast this with GAD-7, a shorter, 7-item instrument aimed at assessing generalized anxiety disorder severity. While distinct in content and structure, comparisons between these two instruments are necessary for many kinds of longitudinal studies.
+Harmony uses natural language processing and generative AI models to harmonise questionnaire items like CES-D and GAD-7, regardless of the language they are in. This exciting technology eases the often laborious and subjective process of questionnaire harmonisation, improving researchers' productivity and reducing errors. Consider CES-D, a lengthy, 20-item questionnaire that measures symptoms associated with depression. Contrast this with GAD-7, a shorter, 7-item instrument aimed at assessing generalized anxiety disorder severity. While distinct in content and structure, comparisons between these two instruments are necessary for many kinds of longitudinal studies.
 
 
 
@@ -73,7 +73,7 @@ With Harmony, comparisons of CES-D vs GAD-7 are streamlined, as the software pro
 
 Furthermore, Harmony's intuitive and user-friendly interface allows you to drag and drop your own instruments, like the CES-D or GAD-7, in PDF format, making CES-D vs GAD-7 comparisons seamless and hassle-free. Harmony's large database also allows you to select your instruments of interest directly. Not only does Harmony solve the problem of language discrepancies, but it also simplifies questionnaire comparisons within and across different studies, supporting more valid and reliable research findings. Verifying consistency and examining differential responses to social environments across multiple studies becomes achievable with Harmony.
 
-In conclusion, the implementation of Harmony in mental health research holds immense promise. The CES-D vs GAD-7 comparison, among other potential harmonizations, becomes simpler, more efficient, and less error-prone. This tool, therefore, is essential for professionals seeking to optimize their research processes and meet the exponentially growing demands of today's mental health field.
+In conclusion, the implementation of Harmony in mental health research holds immense promise. The CES-D vs GAD-7 comparison, among other potential harmonisations, becomes simpler, more efficient, and less error-prone. This tool, therefore, is essential for professionals seeking to optimize their research processes and meet the exponentially growing demands of today's mental health field.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-phq-9.md b/content/en/compare-harmonise-instruments/ces-d-vs-phq-9.md
index cd89697b..92b3193a 100644
--- a/content/en/compare-harmonise-instruments/ces-d-vs-phq-9.md
+++ b/content/en/compare-harmonise-instruments/ces-d-vs-phq-9.md
@@ -43,7 +43,7 @@ The CES-D, a 20-item measure, gauges depressive symptoms experienced over the pa
 
 
 
-It provides a percentage match between each item, helping researchers harmonize their items easily and ensuring that no pertinent detail is missed while comparing these two salient psychological tools. Harmony doesn't just limit its usability to these two instruments. In fact, the database covers a vast expanse of instruments, and it also allows you to upload your own instruments in PDF form directly into the system for analysis. With Harmony, the CES-D vs PHQ-9 comparison transforms from a daunting task to a seamless operation. It’s time to embrace Harmony and experience a new ease in inter-instrument harmonization. Now, comparing questionnaires like CES-D and PHQ-9 can cease being an overwhelming part of your research process and become an enlightening one instead. Embrace Harmony, dive deep into the CES-D vs PHQ-9 comparison, and unravel the mysteries of your study subjects with finer, easier, and faster analysis.
+It provides a percentage match between each item, helping researchers harmonise their items easily and ensuring that no pertinent detail is missed while comparing these two salient psychological tools. Harmony doesn't just limit its usability to these two instruments. In fact, the database covers a vast expanse of instruments, and it also allows you to upload your own instruments in PDF form directly into the system for analysis. With Harmony, the CES-D vs PHQ-9 comparison transforms from a daunting task to a seamless operation. It’s time to embrace Harmony and experience a new ease in inter-instrument harmonisation. Now, comparing questionnaires like CES-D and PHQ-9 can cease being an overwhelming part of your research process and become an enlightening one instead. Embrace Harmony, dive deep into the CES-D vs PHQ-9 comparison, and unravel the mysteries of your study subjects with finer, easier, and faster analysis.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-sdq.md b/content/en/compare-harmonise-instruments/ces-d-vs-sdq.md
index 744eea84..7413a307 100644
--- a/content/en/compare-harmonise-instruments/ces-d-vs-sdq.md
+++ b/content/en/compare-harmonise-instruments/ces-d-vs-sdq.md
@@ -7,7 +7,7 @@ aliases:
 
 ## Comparing CES-D vs SDQ using Harmony Software
 
-Psychologists, social scientists, and researchers in related disciplines often grapple with the task of harmonizing elements or items from different questionnaires. This process can be time-consuming and subjective but is essential to meaningful analysis of longitudinal studies. Fortunately, there now exists an unparalleled solution to this challenge: Harmony software. One common comparison we come across is that between the CES-D and SDQ, two established measures of mental health. CES-D vs SD an arduous task, is now simplified by Harmony. Conceptualized from necessity, the Harmony software is designed to utilize natural language processing and generative AI models to harmonize questionnaire items. This can even be done across different languages. The idea takes a conventional task and turns it into a swift, streamlined process, allowing more time for actual research and less time on logistical complications.
+Psychologists, social scientists, and researchers in related disciplines often grapple with the task of harmonising elements or items from different questionnaires. This process can be time-consuming and subjective but is essential to meaningful analysis of [longitudinal studies](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/). Fortunately, there now exists an unparalleled solution to this challenge: Harmony software. One common comparison we come across is that between the CES-D and SDQ, two established measures of mental health. CES-D vs SD an arduous task, is now simplified by Harmony. Conceptualized from necessity, the Harmony software is designed to utilize natural language processing and generative AI models to harmonise questionnaire items. This can even be done across different languages. The idea takes a conventional task and turns it into a swift, streamlined process, allowing more time for actual research and less time on logistical complications.
 
 {{< youtube cEZppTBj1NI >}}
 
diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md b/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md
index 999f1dd8..895a0c67 100644
--- a/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md
+++ b/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md
@@ -37,7 +37,7 @@ Making use of Harmony's superior natural language processing capabilities, you c
 * [MAST vs HAS](/compare-harmonise-instruments/alcoholism/mast-vs-has)
 
 
-Furthermore, Harmony boasts multilingual support, enabling CES-D and SMFQ compatibility studies across different languages. For researchers seeking to determine the similarities or discrepancies in social conditions across varying populations, the comparative analysis of CES-D vs SMFQ using Harmony can provide invaluable insights. By utilising Harmony, researchers can facilitate their studies, as it is an efficient tool that enhances the understanding of both CES-D and SMFQ.
+Furthermore, Harmony boasts [multilingual support](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/), enabling CES-D and SMFQ compatibility studies across different languages. For researchers seeking to determine the similarities or discrepancies in social conditions across varying populations, the comparative analysis of CES-D vs SMFQ using Harmony can provide invaluable insights. By utilising Harmony, researchers can facilitate their studies, as it is an efficient tool that enhances the understanding of both CES-D and SMFQ.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md b/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md
index 3c2665c5..ef2b366c 100644
--- a/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md
+++ b/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md
@@ -7,7 +7,7 @@ aliases:
 
 ## De Jong Gierveld Loneliness Scale vs SCARED
 
-Researchers often need to harmonize and compare different psychological instruments. One such comparison might be between the De Jong Gierveld Loneliness Scale and SCARED (adult). These two instruments, although targeting different aspects of mental health, have their own utility in various studies and researches.
+Researchers often need to harmonise and compare different psychological instruments. One such comparison might be between the De Jong Gierveld Loneliness Scale and SCARED (adult). These two instruments, although targeting different aspects of mental health, have their own utility in various studies and researches.
 
 ## Compare the items in De Jong Gierveld Loneliness Scale English and SCARED English (adult)
 
@@ -30,7 +30,7 @@ Comparing the De Jong Gierveld Loneliness Scale and SCARED (adult) can be a chal
 {{< youtube cEZppTBj1NI >}}
 
 
-By using Harmony, researchers can select these instruments from the database or upload their own versions. Harmony is specifically designed to aid in such comparisons by using large language models that provide a percentage match between each item in both scales. Harmony’s ability to compare items in multiple languages adds a valuable layer of potential international research collaboration. The comparison between the De Jong Gierveld Loneliness Scale and SCARED (adult) can thus be conducted in a much simpler, quicker, and more effective manner, reducing the time spent on harmonization and increasing the time for analysis and interpretation. With Harmony, the comparison of De Jong Gierveld Loneliness Scale vs SCARED (adult) becomes a straightforward process.
+By using Harmony, researchers can select these instruments from the database or upload their own versions. Harmony is specifically designed to aid in such comparisons by using large language models that provide a percentage match between each item in both scales. Harmony’s ability to compare items in multiple languages adds a valuable layer of potential international research collaboration. The comparison between the De Jong Gierveld Loneliness Scale and SCARED (adult) can thus be conducted in a much simpler, quicker, and more effective manner, reducing the time spent on harmonisation and increasing the time for analysis and interpretation. With Harmony, the comparison of De Jong Gierveld Loneliness Scale vs SCARED (adult) becomes a straightforward process.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md
index 3b3526b9..6f45422f 100644
--- a/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md
+++ b/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md
@@ -7,7 +7,7 @@ aliases:
 
 ## Harnessing the Power of Harmony: Harmonising and comparing GAD-7 vs Beck Anxiety Inventory
 
-When it comes to measuring the severity of anxiety, there are a couple of standard tools often used by psychologists - the Generalised Anxiety Disorder Assessment (GAD-7) and the Beck Anxiety Inventory (BAI).
+When it comes to measuring the severity of [anxiety](/discover-data/anxiety-datasets-and-studies/), there are a couple of standard tools often used by psychologists - the Generalised Anxiety Disorder Assessment (GAD-7) and the Beck Anxiety Inventory (BAI).
 
 {{< image src="images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}}
 
@@ -38,7 +38,7 @@ However, accurately comparing these two instruments can be intricate, subjective
 |     7 | Feeling afraid, as if something awful might happen                                                                                                 |
 |     8 | If you checked any problems, how difficult have they made it for you to do your work, take care of things at home, or get along with other people? |
 
-## Other harmonisation projects with Harmony which you may be interested in
+## Other [data harmonisation](/data-harmonisation/) projects with Harmony which you may be interested in
 
 
 * [SDQ vs RCADS](/compare-harmonise-instruments/sdq-vs-rcads)
@@ -49,15 +49,15 @@ However, accurately comparing these two instruments can be intricate, subjective
 
 
 
-Harmony is a groundbreaking software developed for those in psychology and social science fields. This unique tool makes use of natural language processing and generative AI models to efficiently and effectively harmonise and compare questionnaire items. The comparison process becomes even more complex when the questionnaires are in different languages, but with Harmony, this is no longer an issue.
+Harmony is a groundbreaking software developed for those in psychology and social science fields. This unique tool makes use of natural language processing and generative AI models to efficiently and effectively [harmonise and compare questionnaire items](/data-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/). The comparison process becomes even more complex when the questionnaires are in [different languages](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/), but with Harmony, this is no longer an issue.
 
 Let's think about the comparison of GAD-7 vs Beck Anxiety Inventory. GAD-7, a seven-item instrument, assesses the severity of generalised anxiety disorder (GAD) based on the individual's symptoms over the past two weeks. On the other hand, the Beck Anxiety Inventory is a 21-question self-report inventory measuring common somatic and cognitive symptoms of anxiety over the past week.
 
 {{< card heading="Try Harmony" copy="Compare GAD-7 and Beck Anxiety Inventory " url="https://harmonydata.ac.uk/app" >}}
 
-Harmony comes to the rescue when comparing such complex instruments like GAD-7 vs Beck Anxiety Inventory. Using large language models, Harmony can provide a percentage match between each item, making it easier to identify parallels and differences. The GAD-7 vs Beck Anxiety Inventory comparison, which would have taken significant man-hours, can now be performed objectively and reproducibly using Harmony.
+Harmony is useful for finding crosswalks between instrument pairs like GAD-7 vs Beck Anxiety Inventory. Using large language models, Harmony can provide a percentage match between each item, making it easier to identify parallels and differences. The GAD-7 vs Beck Anxiety Inventory comparison, which would have been time consuming and subjective, can now be performed objectively and reproducibly using Harmony.
 
-No more sifting through long PDFs of questionnaires or manually entering questions into spreadsheets. With Harmony, you can simply select instruments from the system's database or drag and drop your own in PDF form. The GAD-7 vs Beck Anxiety Inventory comparison becomes a straightforward task when leveraging the power of Harmony.
+No more sifting through long PDFs of questionnaires or manually entering questions into spreadsheets. With Harmony, you can simply select instruments from the system's database or drag and drop your own in PDF form. The GAD-7 vs Beck Anxiety Inventory comparison becomes a straightforward task with Harmony.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md b/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md
index 90f5ff6d..37d90593 100644
--- a/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md
+++ b/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md
@@ -15,7 +15,7 @@ The Generalised Anxiety Disorder Assessment (GAD-7) and Child Behaviour Checklis
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just GAD-7 into Harmony</a> - compare GAD-7 English with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just CBCL into Harmony</a> - compare CBCL with other instruments
 
-Employing a platform like Harmony significantly simplifies the process of comparison, particularly when exploring 'GAD-7 vs CBCL'. Harmony is a dedicated software which assists psychologists and social scientists in real time harmonization of different questionnaires, such as GAD-7 and CBCL.
+Employing a platform like Harmony significantly simplifies the process of comparison, particularly when exploring 'GAD-7 vs CBCL'. Harmony is a dedicated software which assists psychologists and social scientists in real time harmonisation of different questionnaires, such as GAD-7 and CBCL.
 
 
 ## You may also be interested in these harmonisations
diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md b/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md
index 4526cf67..438676ef 100644
--- a/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md
+++ b/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md
@@ -7,7 +7,7 @@ aliases:
 
 ## GAD-7 vs GHQ-30: A Harmony-Driven Comparison
 
-Comparing psychological assessment scales such as the GAD-7 and GHQ-30 can be a daunting task due to the nuanced and context-specific language used in these tools. Fortunately, with Harmony, psychologists and researchers can conduct this harmonization process with ease and accuracy. Harmony is a state-of-the-art software that utilizes natural language processing and generative AI models to match assessment items, even in different languages.
+Comparing psychological assessment scales such as the GAD-7 and GHQ-30 can be a daunting task due to the nuanced and context-specific language used in these tools. Fortunately, with Harmony, psychologists and researchers can conduct this harmonisation process with ease and accuracy. Harmony is a state-of-the-art software that utilizes natural language processing and generative AI models to match assessment items, even in different languages.
 
 
 ## Compare the items in GAD-7 English and GHQ-30
@@ -16,7 +16,7 @@ Comparing psychological assessment scales such as the GAD-7 and GHQ-30 can be a
 * <a href="https://harmonydata.ac.uk/app/#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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGZWx0IHlvdSBjb3VsZG4ndCBvdmVyY29tZSB5b3VyIGRpZmZpY3VsdGllcz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gZmluZGluZyBsaWZlIGEgc3RydWdnbGUgYWxsIHRoZSB0aW1lPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQmVlbiBhYmxlIHRvIGVuam95IHlvdXIgbm9ybWFsIGRheS10by1kYXkgYWN0aXZpdGllcz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gdGFraW5nIHRoaW5ncyBoYXJkPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQmVlbiBnZXR0aW5nIHNjYXJlZCBvciBwYW5pY2t5IGZvciBubyBnb29kIHJlYXNvbj8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gYWJsZSB0byBmYWNlIHVwIHRvIHlvdXIgcHJvYmxlbXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGb3VuZCBldmVyeXRoaW5nIGdldHRpbmcgb24gdG9wIG9mIHlvdT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gZmVlbGluZyB1bmhhcHB5IGFuZCBkZXByZXNzZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJCZWVuIGxvc2luZyBjb25maWRlbmNlIGluIHlvdXJzZWxmPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQmVlbiB0aGlua2luZyBvZiB5b3Vyc2VsZiBhcyBhIHdvcnRobGVzcyBwZXJzb24_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGZWx0IHRoYXQgbGlmZSBpcyBlbnRpcmVseSBob3BlbGVzcz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gZmVlbGluZyBob3BlZnVsIGFib3V0IHlvdXIgb3duIGZ1dHVyZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gZmVlbGluZyByZWFzb25hYmx5IGhhcHB5LCBhbGwgdGhpbmdzIGNvbnNpZGVyZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJCZWVuIGZlZWxpbmcgbmVydm91cyBhbmQgc3RydW5nLXVwIGFsbCB0aGUgdGltZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkZlbHQgdGhhdCBsaWZlIGlzbid0IHdvcnRoIGxpdmluZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkZvdW5kIGF0IHRpbWVzIHlvdSBjb3VsZG4ndCBkbyBhbnl0aGluZyBiZWNhdXNlIHlvdXIgbmVydmVzIHdlcmUgdG9vIGJhZCJ9XX1d" target="harmonyapp">Import just GAD-7 into Harmony</a> - compare GAD-7 English with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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_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_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_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGb3VuZCBldmVyeXRoaW5nIGdldHRpbmcgb24gdG9wIG9mIHlvdT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gZmVlbGluZyB1bmhhcHB5IGFuZCBkZXByZXNzZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJCZWVuIGxvc2luZyBjb25maWRlbmNlIGluIHlvdXJzZWxmPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQmVlbiB0aGlua2luZyBvZiB5b3Vyc2VsZiBhcyBhIHdvcnRobGVzcyBwZXJzb24_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGZWx0IHRoYXQgbGlmZSBpcyBlbnRpcmVseSBob3BlbGVzcz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gZmVlbGluZyBob3BlZnVsIGFib3V0IHlvdXIgb3duIGZ1dHVyZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gZmVlbGluZyByZWFzb25hYmx5IGhhcHB5LCBhbGwgdGhpbmdzIGNvbnNpZGVyZWQ_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJCZWVuIGZlZWxpbmcgbmVydm91cyBhbmQgc3RydW5nLXVwIGFsbCB0aGUgdGltZT8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkZlbHQgdGhhdCBsaWZlIGlzbid0IHdvcnRoIGxpdmluZz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkZvdW5kIGF0IHRpbWVzIHlvdSBjb3VsZG4ndCBkbyBhbnl0aGluZyBiZWNhdXNlIHlvdXIgbmVydmVzIHdlcmUgdG9vIGJhZCJ9XX1d" target="harmonyapp">Import just GHQ-30 into Harmony</a> - compare GHQ-30 with other instruments
 
-We have a distinctive approach for GAD-7 vs GHQ-30 comparison. Harmony allows for a two-fold comparison of both GAD-7 and GHQ-30. For one, it can compare instruments by giving a percentage match between each item in the two questionnaires. This feature proves invaluable for researchers who can select from Harmony's extensive database or even upload their own assessments in PDF form. Utilizing Harmony in a GAD-7 vs GHQ-30 analysis ensures a more objective and time-saving approach to harmonizing questionnaire items.
+We have a distinctive approach for GAD-7 vs GHQ-30 comparison. Harmony allows for a two-fold comparison of both GAD-7 and GHQ-30. For one, it can compare instruments by giving a percentage match between each item in the two questionnaires. This feature proves invaluable for researchers who can select from Harmony's extensive database or even upload their own assessments in PDF form. Utilizing Harmony in a GAD-7 vs GHQ-30 analysis ensures a more objective and time-saving approach to harmonising questionnaire items.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md b/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md
index 629bc3ef..036f8ec9 100644
--- a/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md
+++ b/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md
@@ -7,7 +7,7 @@ aliases:
 
 ## GAD-7 vs MFQ: Applying Harmony for Consistent Analysis
 
-Psychologists and researchers often encounter the challenge of harmonizing questionnaires, like comparing `GAD-7 vs MFQ`, and interpreting their results. These inconsistencies often arise due to differences in language, translation, and the subjective nature of questions. Harmony, an advanced tool leveraging natural language processing and generative AI models, simplifies the process of harmonising these questionnaires. It effectively compares different instruments, including `GAD-7 vs MFQ`, and offers a percentage match between each item, adding a layer of consistency and efficiency to the research process.
+Psychologists and researchers often encounter the challenge of harmonising questionnaires, like comparing `GAD-7 vs MFQ`, and interpreting their results. These inconsistencies often arise due to differences in language, translation, and the subjective nature of questions. Harmony, an advanced tool leveraging natural language processing and generative AI models, simplifies the process of harmonising these questionnaires. It effectively compares different instruments, including `GAD-7 vs MFQ`, and offers a percentage match between each item, adding a layer of consistency and efficiency to the research process.
 
 ## Compare the items in GAD-7 English and MFQ
 
@@ -15,7 +15,7 @@ Psychologists and researchers often encounter the challenge of harmonizing quest
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just GAD-7 into Harmony</a> - compare GAD-7 English with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just MFQ into Harmony</a> - compare MFQ with other instruments
 
-Consider an example where a psychologist needs to compare the GAD-7, a seven-item instrument used to assess the severity of generalized anxiety disorder, with the Mood and Feelings Questionnaire (MFQ). The MFQ is a comprehensive list of questions targeting various moods and feelings. Manually comparing and harmonizing these questionnaires can be a tedious task. By using Harmony, psychologists can streamline this task effortlessly.
+Consider an example where a psychologist needs to compare the GAD-7, a seven-item instrument used to assess the severity of generalized anxiety disorder, with the Mood and Feelings Questionnaire (MFQ). The MFQ is a comprehensive list of questions targeting various moods and feelings. Manually comparing and harmonising these questionnaires can be a tedious task. By using Harmony, psychologists can streamline this task effortlessly.
 
 
 ## You may also be interested in these harmonisations
@@ -32,7 +32,7 @@ Consider an example where a psychologist needs to compare the GAD-7, a seven-ite
 
 
 
-The user-friendly interface of Harmony allows users to select instruments from a database or upload their own instruments in PDF format. The tool then uses advanced language models to compare and harmonize these instruments irrespective of their language. For research to be globally relevant, it is crucial to ensure that it is applicable across various studies and cohorts. In such cases, comparing `GAD-7 vs MFQ` becomes essential. Using Harmony, researchers not only save time in the harmonization process but also ensure the precision of comparative analysis. By applying AI, Harmony facilitates standardized and consistent research, making it a powerful tool for psychologists and other social scientists.
+The user-friendly interface of Harmony allows users to select instruments from a database or upload their own instruments in PDF format. The tool then uses advanced language models to compare and harmonise these instruments irrespective of their language. For research to be globally relevant, it is crucial to ensure that it is applicable across various studies and cohorts. In such cases, comparing `GAD-7 vs MFQ` becomes essential. Using Harmony, researchers not only save time in the harmonisation process but also ensure the precision of comparative analysis. By applying AI, Harmony facilitates standardized and consistent research, making it a powerful tool for psychologists and other social scientists.
 
 
 ## Questions in GAD-7
diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md b/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md
index 2220f319..bf77e5ef 100644
--- a/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md
+++ b/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md
@@ -7,7 +7,7 @@ aliases:
 
 ## GAD-7 vs PSS-10: A Comparative Insight with Harmony
 
-A significant challenge for psychologists often comes down to harmonizing different questionnaires such as [GAD-7](https://www.nhs.uk/mental-health/conditions/generalised-anxiety-disorder/overview/) and [PSS-10](http://www.macses.ucsf.edu/research/psychosocial/pss10.php). This challenge begins with trying to match the individual items of these two different instruments that assess anxiety disorder and stress perception respectively. For some meta-analyses you might need to compare the GAD-7 vs the PSS-10.
+A significant challenge for psychologists often comes down to harmonising different questionnaires such as [GAD-7](https://www.nhs.uk/mental-health/conditions/generalised-anxiety-disorder/overview/) and [PSS-10](http://www.macses.ucsf.edu/research/psychosocial/pss10.php). This challenge begins with trying to match the individual items of these two different instruments that assess anxiety disorder and stress perception respectively. For some meta-analyses you might need to compare the GAD-7 vs the PSS-10.
 
 
 ## Compare the items in GAD-7 English and PSS-10
@@ -25,7 +25,7 @@ A significant challenge for psychologists often comes down to harmonizing differ
 * [ESPAD vs MAST](/compare-harmonise-instruments/alcoholism/espad-vs-mast)
 
 
-This software matches items in the questionnaires effectively using natural language processing and generative AI models. This ability to harmonize GAD-7 vs PSS-10 is particularly beneficial allowing psychologists to study and compare the severity of GAD and perceived stress in respondents. Harmony would make matching the items such as "Feeling nervous, anxious, or on edge" in GAD-7 to "felt nervous and stressed" in PSS-10 seamless, thanks to its large language models.
+This software matches items in the questionnaires effectively using natural language processing and generative AI models. This ability to harmonise GAD-7 vs PSS-10 is particularly beneficial allowing psychologists to study and compare the severity of GAD and perceived stress in respondents. Harmony would make matching the items such as "Feeling nervous, anxious, or on edge" in GAD-7 to "felt nervous and stressed" in PSS-10 seamless, thanks to its large language models.
 
 
 {{< card heading="Try Harmony" copy="Compare GAD-7 and PSS-10 " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md b/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md
index ad62494f..3f934d65 100644
--- a/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md
+++ b/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md
@@ -15,7 +15,7 @@ When conducting psychological research or assessments, it is essential to have a
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just GAD-7 into Harmony</a> - compare GAD-7 English with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just RCADS into Harmony</a> - compare RCADS with other instruments
 
-It’s not uncommon for psychologists to need to compare these two tools, a task that can be quite daunting and time-consuming. This is where *GAD-7 vs RCADS* comparison comes in, facilitated by the innovative software called Harmony. Harmony, using advanced AI and natural language processing, aids in the harmonization of these two instruments. By analyzing and comparing the items in GAD-7 and RCADS, Harmony is able to present a quantitative match percentage between the items of these two tools.
+It’s not uncommon for psychologists to need to compare these two tools, a task that can be quite daunting and time-consuming. This is where *GAD-7 vs RCADS* comparison comes in, facilitated by the innovative software called Harmony. Harmony, using advanced AI and natural language processing, aids in the harmonisation of these two instruments. By analysing and comparing the items in GAD-7 and RCADS, Harmony is able to present a quantitative match percentage between the items of these two tools.
 
 
 
@@ -46,7 +46,7 @@ It’s not uncommon for psychologists to need to compare these two tools, a task
 
 {{< youtube cEZppTBj1NI >}}
 
-This allows researchers to view similarities and differences at a glance, significantly reducing the effort required in the manual comparison process. The term *GAD-7 vs RCADS* is redefined by utilizing Harmony, transforming a complex process into a streamlined and straightforward one. We highly recommend using Harmony for your *GAD-7 vs RCADS* comparison tasks whether you are conducting new research or revisiting older studies for fresh insights. You can select both instruments directly from Harmony's comprehensive database or upload your own copies in PDF format. The added bonus, Harmony is even equipped to handle comparisons in multiple languages. Simplify your research process with Harmony – the new standard for questionnaire harmonization.
+This allows researchers to view similarities and differences at a glance, significantly reducing the effort required in the manual comparison process. The term *GAD-7 vs RCADS* is redefined by utilizing Harmony, transforming a complex process into a streamlined and straightforward one. We highly recommend using Harmony for your *GAD-7 vs RCADS* comparison tasks whether you are conducting new research or revisiting older studies for fresh insights. You can select both instruments directly from Harmony's comprehensive database or upload your own copies in PDF format. The added bonus, Harmony is even equipped to handle comparisons in multiple languages. Simplify your research process with Harmony – the new standard for questionnaire harmonisation.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md b/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md
index 28824ebd..5d45e3f8 100644
--- a/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md
+++ b/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md
@@ -7,7 +7,7 @@ aliases:
 
 ## GAD-7 vs SMFQ
 
-Psychologists and social scientists always seek to understand the deep nuances that differentiate or connect psychological assessments like the Generalised Anxiety Disorder Assessment (GAD-7) and the Short Mood & Feelings Questionnaire (SMFQ). However, going through the cumbersome process of harmonisation on these instruments might be a daunting task. This is why the Harmony software comes into the play. By making use of AI and natural language processing, Harmony allows an efficient comparison between these two highly relevant psychological assessments: GAD-7 vs SMFQ, with the potential to analyze them in different languages.
+Psychologists and social scientists always seek to understand the deep nuances that differentiate or connect psychological assessments like the Generalised Anxiety Disorder Assessment (GAD-7) and the Short Mood & Feelings Questionnaire (SMFQ). However, going through the cumbersome process of harmonisation on these instruments might be a daunting task. This is why the Harmony software comes into the play. By making use of AI and natural language processing, Harmony allows an efficient comparison between these two highly relevant psychological assessments: GAD-7 vs SMFQ, with the potential to analyse them in different languages.
 
 
 ## Comparing GAD-7 and SMFQ using Harmony
diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md
index ce49dfdf..835032c1 100644
--- a/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md
+++ b/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md
@@ -40,7 +40,7 @@ Harmony, a revolutionary tool backed by natural language processing and generati
 * <a href="https://harmonydata.ac.uk/app/#/import/W3siaW5zdHJ1bWVudF9uYW1lIjogIkdIUSAxMiBFbmdsaXNoIiwgInF1ZXN0aW9ucyI6IFt7InF1ZXN0aW9uX3RleHQiOiAiQmVlbiBhYmxlIHRvIGNvbmNlbnRyYXRlIG9uIHdoYXQgeW91XHUyMDE5cmUgZG9pbmc_ICJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiTG9zdCBtdWNoIHNsZWVwIG92ZXIgd29ycnk_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGZWx0IHlvdSB3ZXJlIHBsYXlpbmcgYSB1c2VmdWwgcGFydCBpbiB0aGluZ3M_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGZWx0IGNhcGFibGUgb2YgbWFraW5nIGRlY2lzaW9ucyBhYm91dCB0aGluZ3M_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJGZWx0IGNvbnN0YW50bHkgdW5kZXIgc3RyYWluPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiRmVsdCB5b3UgY291bGRuXHUyMDE5dCBvdmVyY29tZSB5b3VyIGRpZmZpY3VsdGllcz8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gYWJsZSB0byBlbmpveSB5b3VyIG5vcm1hbCBkYXktdG8tZGF5IGFjdGl2aXRpZXM_In0sIHsicXVlc3Rpb25fdGV4dCI6ICJCZWVuIGFibGUgdG8gZmFjZSB1cCB0byB5b3VyIHByb2JsZW1zPyJ9LCB7InF1ZXN0aW9uX3RleHQiOiAiQmVlbiBmZWVsaW5nIHVuaGFwcHkgYW5kIGRlcHJlc3NlZD8ifSwgeyJxdWVzdGlvbl90ZXh0IjogIkJlZW4gbG9zaW5nIGNvbmZpZGVuY2UgaW4geW91cnNlbGY_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" target="harmonyapp">Import just Beck Anxiety Inventory into Harmony</a> - compare Beck Anxiety Inventory with other instruments
 
 
-For psychologists aiming to compare the GHQ 12 and Beck Anxiety Inventory, Harmony provides a user-friendly platform to extract, compare, and analyze information. Its database allows users to select from a suite of pre-loaded questionnaires, or alternatively, incorporate their own in PDF format into the system. While directly comparing the scores between the GHQ 12 and Beck Anxiety Inventory may not necessarily provide a comprehensive view of a person's psychological health, it can highlight certain critical insights to help psychologists better understand an individual's specific concerns.
+For psychologists aiming to compare the GHQ 12 and Beck Anxiety Inventory, Harmony provides a user-friendly platform to extract, compare, and analyse information. Its database allows users to select from a suite of pre-loaded questionnaires, or alternatively, incorporate their own in PDF format into the system. While directly comparing the scores between the GHQ 12 and Beck Anxiety Inventory may not necessarily provide a comprehensive view of a person's psychological health, it can highlight certain critical insights to help psychologists better understand an individual's specific concerns.
 
 In conclusion, the use of Harmony in a comparative study like GHQ 12 vs Beck Anxiety Inventory assures a clear, precise understanding, thereby strengthening the value of the obtained results. Overcome the traditional methods of harmonisation and embrace Harmony to elevate your research process. Explore and unleash the power of data analysis with Harmony in your psychological and social sciences journey.
 
diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md b/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md
index 65cf80d8..ba830649 100644
--- a/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md
+++ b/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md
@@ -7,7 +7,7 @@ aliases:
 
 ## GHQ-12 vs CBCL: A Comparative Analysis
 
-Comparing and harmonizing the responses from influential psychological diagnostic tools like the General Health Questionnaire (GHQ-12) and Child Behaviour Checklist (CBCL) can be daunting and subjective. Therefore, to facilitate an accurate and objective comparison, a tool like Harmony that uses advanced artificial intelligence can be invaluable. Especially when it comes to comparing GHQ-12 vs CBCL, the process can become time-consuming given the substantial difference in the number of items each measure contains.
+Comparing and harmonising the responses from influential psychological diagnostic tools like the General Health Questionnaire (GHQ-12) and Child Behaviour Checklist (CBCL) can be daunting and subjective. Therefore, to facilitate an accurate and objective comparison, a tool like Harmony that uses advanced artificial intelligence can be invaluable. Especially when it comes to comparing GHQ-12 vs CBCL, the process can become time-consuming given the substantial difference in the number of items each measure contains.
 
 ## Compare the items in GHQ-12 English and CBCL
 
@@ -30,7 +30,7 @@ One of the significant uses of Harmony is that it can not only efficiently compa
 
 {{< youtube cEZppTBj1NI >}}
 
-Through optimization of longitudinal comparisons between GHQ-12 vs CBCL, Harmony can contribute to testing the consistency of results across different studies. In the context of multi-language instruments as in the comparison between GHQ-12 vs CBCL, Harmony’s ability to facilitate analysis across different languages further underscores its immense utility. Whether you wish to examine the unidimensionality of GHQ-12 or explore the multidimensional structures of the CBCL, Harmony provides an effortless, streamlined process for reliable harmonization and comparison. For psychological researchers who aim to enrich their practice through enhanced harmonization, Harmony stands out as an essential tool of choice.
+Through optimization of longitudinal comparisons between GHQ-12 vs CBCL, Harmony can contribute to testing the consistency of results across different studies. In the context of multi-language instruments as in the comparison between GHQ-12 vs CBCL, Harmony’s ability to facilitate analysis across different languages further underscores its immense utility. Whether you wish to examine the unidimensionality of GHQ-12 or explore the multidimensional structures of the CBCL, Harmony provides an effortless, streamlined process for reliable harmonisation and comparison. For psychological researchers who aim to enrich their practice through enhanced harmonisation, Harmony stands out as an essential tool of choice.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md
index bb0fe734..89e14f38 100644
--- a/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md
+++ b/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md
@@ -7,7 +7,7 @@ aliases:
 
 ## GHQ 12 vs De Jong Gierveld Loneliness Scale
 
-Researchers and psychologists often find themselves attempting to draw comparisons between different standardized instruments, the GHQ 12 and De Jong Gierveld Loneliness Scale being prime examples. These two scales offer insight into psychological distress and loneliness, respectively. Yet, their unique set of items can make it challenging to harmonize and compare their individual results.
+Researchers and psychologists often find themselves attempting to draw comparisons between different standardized instruments, the GHQ 12 and De Jong Gierveld Loneliness Scale being prime examples. These two scales offer insight into psychological distress and loneliness, respectively. Yet, their unique set of items can make it challenging to harmonise and compare their individual results.
 
 {{< youtube cEZppTBj1NI >}}
 
@@ -28,7 +28,7 @@ Researchers and psychologists often find themselves attempting to draw compariso
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
 
-The GHQ 12 vs De Jong Gierveld Loneliness Scale comparison is made seamlessly easy and more efficient by utilizing Harmony software. Harmony uses advanced AI and natural language processing technology to help users quickly match and harmonize items — expressed in different ways or even languages — across arrays of questionnaires. In doing so, this cutting-edge tool enables experts to test, for example, whether patterns of results on the GHQ 12 and De Jong Gierveld Loneliness Scale are consistent across multiple studies. This comparison can be even more insightful if you use Harmony for GHQ 12 vs De Jong Gierveld Loneliness Scale. With Harmony, you don't have to get caught up in the subjective and time-consuming process of manually aligning items from these two instruments. Harmony's powerful AI engine does the hard lifting for you, providing a percentage match between items, even comparing items in multiple languages. The availability of multiple instruments in Harmony's database and an easy-to-use web interface enhance the harmonization process, making GHQ 12 vs De Jong Gierveld Loneliness Scale comparison a breeze.
+The GHQ 12 vs De Jong Gierveld Loneliness Scale comparison is made seamlessly easy and more efficient by utilizing Harmony software. Harmony uses advanced AI and natural language processing technology to help users quickly match and harmonise items — expressed in different ways or even languages — across arrays of questionnaires. In doing so, this cutting-edge tool enables experts to test, for example, whether patterns of results on the GHQ 12 and De Jong Gierveld Loneliness Scale are consistent across multiple studies. This comparison can be even more insightful if you use Harmony for GHQ 12 vs De Jong Gierveld Loneliness Scale. With Harmony, you don't have to get caught up in the subjective and time-consuming process of manually aligning items from these two instruments. Harmony's powerful AI engine does the hard lifting for you, providing a percentage match between items, even comparing items in multiple languages. The availability of multiple instruments in Harmony's database and an easy-to-use web interface enhance the harmonisation process, making GHQ 12 vs De Jong Gierveld Loneliness Scale comparison a breeze.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md b/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md
index 3b51d45a..5090c453 100644
--- a/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md
+++ b/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md
@@ -7,7 +7,7 @@ aliases:
 
 ## GHQ-12 vs PSS-10: A Comparative Analysis
 
-The **GHQ-12 vs PSS-10** comparison presents a unique challenge to psychologists and social scientists given the complexity of harmonizing information from these scales. The 12-item General Health Questionnaire (GHQ-12) is a renowned tool for detecting psychological distress, with a multidimensional structure. At the same time, the 10-item Perceived Stress Scale (PSS-10) evaluates subjective stress levels by measuring how often certain feelings and thoughts occur.
+The **GHQ-12 vs PSS-10** comparison presents a unique challenge to psychologists and social scientists given the complexity of harmonising information from these scales. The 12-item General Health Questionnaire (GHQ-12) is a renowned tool for detecting psychological distress, with a multidimensional structure. At the same time, the 10-item Perceived Stress Scale (PSS-10) evaluates subjective stress levels by measuring how often certain feelings and thoughts occur.
 
 ## Compare the items in GHQ-12 English and PSS-10
 
@@ -17,7 +17,7 @@ The **GHQ-12 vs PSS-10** comparison presents a unique challenge to psychologists
 * [See GHQ-12 questions](https://score.awellhealth.com/calculations/ghq_12)
 
 
-Both questionnaires are invaluable in understanding the intricate nature of mental health and stress, hence comparing and finding correlations between them becomes quite significant. The manual process of harmonization often proves to be not only time-consuming but also subjective to an extent. To aid in such an intricate process, a tool like **Harmony** comes as a great boon.
+Both questionnaires are invaluable in understanding the intricate nature of mental health and stress, hence comparing and finding correlations between them becomes quite significant. The manual process of harmonisation often proves to be not only time-consuming but also subjective to an extent. To aid in such an intricate process, a tool like **Harmony** comes as a great boon.
 
 ## You may also be interested in these harmonisations
 
@@ -33,7 +33,7 @@ Both questionnaires are invaluable in understanding the intricate nature of ment
 
 
 
-Harmony, with its advanced algorithms using natural language processing and generative AI models, can systematically compare GHQ-12 and PSS-10 and provide a percentage match. It simplifies the task of harmonization, while ensuring an objective analysis. For researchers comparing **GHQ-12 vs PSS-10**, Harmony's functionalities spare them the tedious process of going through long PDFs and manually putting the questions into Excel. Harmony also offers versatility in terms of language. It is an inclusive tool that can compare and harmonize between **GHQ-12 and PSS-10** items in multiple languages. The comparison doesn't stop at GHQ-12 and PSS-10. You can select from Harmony's database or drop your own instruments in a PDF into Harmony's web interface. Thus, Harmony not only offers a solution to your GHQ-12 vs PSS-10 comparison needs but also extends its capabilities to a variety of other tools, making it an indispensable asset for researchers in psychology and social sciences.
+Harmony, with its advanced algorithms using natural language processing and generative AI models, can systematically compare GHQ-12 and PSS-10 and provide a percentage match. It simplifies the task of harmonisation, while ensuring an objective analysis. For researchers comparing **GHQ-12 vs PSS-10**, Harmony's functionalities spare them the tedious process of going through long PDFs and manually putting the questions into Excel. Harmony also offers versatility in terms of language. It is an inclusive tool that can compare and harmonise between **GHQ-12 and PSS-10** items in multiple languages. The comparison doesn't stop at GHQ-12 and PSS-10. You can select from Harmony's database or drop your own instruments in a PDF into Harmony's web interface. Thus, Harmony not only offers a solution to your GHQ-12 vs PSS-10 comparison needs but also extends its capabilities to a variety of other tools, making it an indispensable asset for researchers in psychology and social sciences.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-sdq.md b/content/en/compare-harmonise-instruments/ghq-12-vs-sdq.md
index ce617073..35231f03 100644
--- a/content/en/compare-harmonise-instruments/ghq-12-vs-sdq.md
+++ b/content/en/compare-harmonise-instruments/ghq-12-vs-sdq.md
@@ -7,7 +7,7 @@ aliases:
 
 ## Harmonising and comparing GHQ 12 vs SDQ: Optimizing Psychological Research with Harmony
 
-As psychologists and social scientists, we often wrestle with the harmonization of different questionnaires. Take for instance the comparison of the General Health Questionnaire (GHQ 12) and the Strengths and Difficulties Questionnaire (SDQ); often referred to as 'GHQ 12 vs SDQ'. Harmonizing these instruments can be a time consuming and often subjective process. But thanks to the innovative Harmony software, making that 'GHQ 12 vs SDQ' comparison just got a lot easier. The GHQ-12 is a comprehensive health questionnaire that gauges psychological distress.
+As psychologists and social scientists, we often wrestle with the harmonisation of different questionnaires. Take for instance the comparison of the General Health Questionnaire (GHQ 12) and the Strengths and Difficulties Questionnaire (SDQ); often referred to as 'GHQ 12 vs SDQ'. harmonising these instruments can be a time consuming and often subjective process. But thanks to the innovative Harmony software, making that 'GHQ 12 vs SDQ' comparison just got a lot easier. The GHQ-12 is a comprehensive health questionnaire that gauges psychological distress.
 
 
 {{< youtube cEZppTBj1NI >}}
@@ -39,7 +39,7 @@ It is widely used, but its multidimensional nature can pose challenges in compar
 
 
 
-Enter Harmony, a versatile tool designed to streamline the harmonization process. Using natural language processing and generative AI models, Harmony can effortlessly compare items in both GHQ 12 and SDQ. It calculates a percentage match between each item in both questionnaires, and can do so across multiple languages. So if you are a psychologist or social scientist studying psychological distress or behavioural issues, Harmony can make the 'GHQ 12 vs SDQ' comparison more accurate, efficient, and well, harmonious. In addition to GHQ 12 and SDQ, Harmony's database offers a wide variety of instruments for selection, or you have the option to upload and use your own instruments in PDF form. The interface is user-friendly, enabling you to tap into the power of AI to optimize your research in just a few clicks. Harmony is not only revolutionizing the 'GHQ 12 vs SDQ' process, but it's also strengthening the validity and efficiency of psychological research on a broader scale. So, why not give Harmony a try? Make the 'GHQ 12 vs SDQ' comparison more manageable and precise, allowing you to focus on what truly matters – understanding and improving psychological health. Try Harmony today!
+Enter Harmony, a versatile tool designed to streamline the harmonisation process. Using natural language processing and generative AI models, Harmony can effortlessly compare items in both GHQ 12 and SDQ. It calculates a percentage match between each item in both questionnaires, and can do so across multiple languages. So if you are a psychologist or social scientist studying psychological distress or behavioural issues, Harmony can make the 'GHQ 12 vs SDQ' comparison more accurate, efficient, and well, harmonious. In addition to GHQ 12 and SDQ, Harmony's database offers a wide variety of instruments for selection, or you have the option to upload and use your own instruments in PDF form. The interface is user-friendly, enabling you to tap into the power of AI to optimize your research in just a few clicks. Harmony is not only revolutionizing the 'GHQ 12 vs SDQ' process, but it's also strengthening the validity and efficiency of psychological research on a broader scale. So, why not give Harmony a try? Make the 'GHQ 12 vs SDQ' comparison more manageable and precise, allowing you to focus on what truly matters – understanding and improving psychological health. Try Harmony today!
 
 
 
diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md
index 227b88d7..e1e50c20 100644
--- a/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md
+++ b/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md
@@ -34,7 +34,7 @@ Traditionally, drawing comparisons between the likes of PHQ-9 vs Beck Anxiety In
 
 {{< card heading="Try Harmony" copy="Compare PHQ-9 and Beck Anxiety Inventory " url="https://harmonydata.ac.uk/app" >}}
 
-With Harmony, researchers have a revolutionary tool that uses natural language processing and generative AI models to harmonize questionnaire items of both similar and different languages seamlessly. As researchers, we know the PHQ-9 is a self-administered instrument evaluating each of the nine DSM-IV criteria for depression. Meanwhile, the Beck Anxiety Inventory measures 21 common somatic and cognitive symptoms of anxiety. Both serve their own purpose, but finding their common and contrasting elements – that's where the real challenge lies.
+With Harmony, researchers have a revolutionary tool that uses natural language processing and generative AI models to harmonise questionnaire items of both similar and different languages seamlessly. As researchers, we know the PHQ-9 is a self-administered instrument evaluating each of the nine DSM-IV criteria for depression. Meanwhile, the Beck Anxiety Inventory measures 21 common somatic and cognitive symptoms of anxiety. Both serve their own purpose, but finding their common and contrasting elements – that's where the real challenge lies.
 
 {{< youtube cEZppTBj1NI >}}
 
diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md b/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md
index 6b0be88b..71ed7832 100644
--- a/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md
+++ b/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md
@@ -7,7 +7,7 @@ aliases:
 
 ## PHQ-9 vs CBCL
 
-Psychologists and researchers often struggle with the task of harmonizing different questionnaires to derive useful insights. A common comparison seen in mental health research involves the Patient Health Questionnaire (PHQ-9) and Child Behavior Checklist (CBCL). Both these tools play a crucial role in analyzing the psychological well-being of patients. However, comparing them manually can be time-consuming, prone to errors, and subject to personal bias.
+Psychologists and researchers often struggle with the task of harmonising different questionnaires to derive useful insights. A common comparison seen in mental health research involves the Patient Health Questionnaire (PHQ-9) and Child Behavior Checklist (CBCL). Both these tools play a crucial role in analysing the psychological well-being of patients. However, comparing them manually can be time-consuming, prone to errors, and subject to personal bias.
 
 ## Compare the items in PHQ-9 and CBCL
 
@@ -16,7 +16,7 @@ Psychologists and researchers often struggle with the task of harmonizing differ
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just CBCL into Harmony</a> - compare CBCL with other instruments
 
 
-This is where Harmony, a trailblazing software tool developed for psychologists, comes into play. Harmony employs advanced natural language and generative AI processing to harmonize questionnaire items. A typical use case can be the comparison between PHQ-9 and CBCL. By replacing the traditionally tedious and subjective process of harmonization with an efficient, automated process, Harmony has revolutionized the field.
+This is where Harmony, a trailblazing software tool developed for psychologists, comes into play. Harmony employs advanced natural language and generative AI processing to harmonise questionnaire items. A typical use case can be the comparison between PHQ-9 and CBCL. By replacing the traditionally tedious and subjective process of harmonisation with an efficient, automated process, Harmony has revolutionized the field.
 
 ## You may also be interested in these harmonisations
 
@@ -32,7 +32,7 @@ This is where Harmony, a trailblazing software tool developed for psychologists,
 
 
 
-The software presents a percentage match between the individual items in PHQ-9 and CBCL, allowing a critical review of the similarities and differences between the instruments. The prolific use of Harmony in psychological research, especially in harmonizing PHQ-9 vs CBCL, can significantly enhance the accuracy and speed of comparative studies. It supports multiple languages, adds to its versatility, and broadens its reach to a global research scenario. The software allows users to choose instruments from its database or lets them upload their own in a PDF format. Visit [Harmony's web interface](https://harmonydata.ac.uk/app) to experience its superior harmonization features for PHQ-9 vs CBCL today.
+The software presents a percentage match between the individual items in PHQ-9 and CBCL, allowing a critical review of the similarities and differences between the instruments. The prolific use of Harmony in psychological research, especially in harmonising PHQ-9 vs CBCL, can significantly enhance the accuracy and speed of comparative studies. It supports multiple languages, adds to its versatility, and broadens its reach to a global research scenario. The software allows users to choose instruments from its database or lets them upload their own in a PDF format. Visit [Harmony's web interface](https://harmonydata.ac.uk/app) to experience its superior harmonisation features for PHQ-9 vs CBCL today.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md
index 8d2a465f..6acda1ac 100644
--- a/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md
+++ b/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md
@@ -7,7 +7,7 @@ aliases:
 
 ## PHQ-9 vs De Jong Gierveld Loneliness Scale
 
-The agenda of psychological research often encounters the need for comparison and harmonization of different psychometric instruments. One of such example is comparison between PHQ-9, a widespread diagnostic instrument for mental disorders, and De Jong Gierveld Loneliness Scale, a widely-used tool for assessing loneliness. The **PHQ-9 vs De Jong Gierveld Loneliness Scale** comparison requires a time-consuming and subjective process, which might not be efficient for researchers. This is where Harmony software can offer significant assistance.
+The agenda of psychological research often encounters the need for comparison and harmonisation of different psychometric instruments. One of such example is comparison between PHQ-9, a widespread diagnostic instrument for mental disorders, and De Jong Gierveld Loneliness Scale, a widely-used tool for assessing loneliness. The **PHQ-9 vs De Jong Gierveld Loneliness Scale** comparison requires a time-consuming and subjective process, which might not be efficient for researchers. This is where Harmony software can offer significant assistance.
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
 
@@ -16,7 +16,7 @@ The agenda of psychological research often encounters the need for comparison an
 {{< youtube cEZppTBj1NI >}}
 
 
-By leveraging natural language processing and AI models, Harmony allows for seamless comparison and harmonization of different questionnaires. Psychologists and social scientists enthusiastic about understanding the nuances between **PHQ-9 vs De Jong Gierveld Loneliness Scale** would find Harmony an indispensable tool for their research. Not only does it allow the comparison of individual questions in the instruments, but it also provides a percentage match, assisting in a more in-depth analysis. Harmony breaks down the traditional barriers of language as well, by boasting a multi-language support system in its database. Therefore, researchers can effectively use Harmony for **PHQ-9 vs De Jong Gierveld Loneliness Scale**, regardless of the original language of the instruments. If your research pertains to related areas, consider using Harmony for its ease of use, sophisticated AI support, and hassle-free comparison of psychometric tools.
+By leveraging natural language processing and AI models, Harmony allows for seamless comparison and harmonisation of different questionnaires. Psychologists and social scientists enthusiastic about understanding the nuances between **PHQ-9 vs De Jong Gierveld Loneliness Scale** would find Harmony an indispensable tool for their research. Not only does it allow the comparison of individual questions in the instruments, but it also provides a percentage match, assisting in a more in-depth analysis. Harmony breaks down the traditional barriers of language as well, by boasting a multi-language support system in its database. Therefore, researchers can effectively use Harmony for **PHQ-9 vs De Jong Gierveld Loneliness Scale**, regardless of the original language of the instruments. If your research pertains to related areas, consider using Harmony for its ease of use, sophisticated AI support, and hassle-free comparison of psychometric tools.
 
 ## You may also be interested in these harmonisations
 
diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md b/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md
index d5cb673f..1f5b3648 100644
--- a/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md
+++ b/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md
@@ -25,7 +25,7 @@ Comparing patient questionnaires is a vital aspect of psychological research, pa
 * [PHQ-9 vs De Jong Gierveld Loneliness Scale](/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale)
 
 
-Harmony is a software designed specifically to aid psychologists and researchers in the process of harmonizing questionnaire items. For studies involving PHQ-9 vs PSS-10, Harmony is an invaluable tool. It uses advanced language processing and artificial intelligence to give a percentage match between the items in these two lists, thus helping you to draw essential conclusions about the data.
+Harmony is a software designed specifically to aid psychologists and researchers in the process of harmonising questionnaire items. For studies involving PHQ-9 vs PSS-10, Harmony is an invaluable tool. It uses advanced language processing and artificial intelligence to give a percentage match between the items in these two lists, thus helping you to draw essential conclusions about the data.
 
 
 {{< card heading="Try Harmony" copy="Compare PHQ-9 and PSS-10 " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md b/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md
index 15960474..1d58711d 100644
--- a/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md
+++ b/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md
@@ -16,7 +16,7 @@ Psychologists and social scientists often ponder over the harmony between differ
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just RCADS into Harmony</a> - compare RCADS with other instruments
 * [See RCADS in PDF](https://rcads.ucla.edu/versions)
 
-Comparing PHQ-9 and RCADS can be daunting and cumbersome due to large quantities of qualitative data that need to be closely examined and harmonized. This is where Harmony proves to be a boon. It is an intelligent tool designed to simplify the process of comparison and harmonization.
+Comparing PHQ-9 and RCADS can be daunting and cumbersome due to large quantities of qualitative data that need to be closely examined and harmonised. This is where Harmony proves to be a boon. It is an intelligent tool designed to simplify the process of comparison and harmonisation.
 
 
 
@@ -36,7 +36,7 @@ Comparing PHQ-9 and RCADS can be daunting and cumbersome due to large quantities
 
 
 
-Harmony utilizes advanced natural language processing and generative AI models to harmonize questionnaire items, with PHQ-9 vs RCADS being a quintessential example. You can easily select these instruments from Harmony's database or upload your own for assessment. The benefits of using Harmony for PHQ-9 vs RCADS analysis are numerous. Alongside streamlining the harmonization process, it provides a percentage match between each item in PHQ-9 and RCADS, enabling researchers to forge accurate comparisons. Not just that, Harmony's capacity to harmonize questionnaire items expands to multiple languages. To kick-start your PHQ-9 vs RCADS comparison process, simply navigate to Harmony's web interface and let the tool do the heavy lifting.
+Harmony utilizes advanced natural language processing and generative AI models to harmonise questionnaire items, with PHQ-9 vs RCADS being a quintessential example. You can easily select these instruments from Harmony's database or upload your own for assessment. The benefits of using Harmony for PHQ-9 vs RCADS analysis are numerous. Alongside streamlining the harmonisation process, it provides a percentage match between each item in PHQ-9 and RCADS, enabling researchers to forge accurate comparisons. Not just that, Harmony's capacity to harmonise questionnaire items expands to multiple languages. To kick-start your PHQ-9 vs RCADS comparison process, simply navigate to Harmony's web interface and let the tool do the heavy lifting.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md b/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md
index 746ba164..730e457f 100644
--- a/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md
+++ b/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md
@@ -10,7 +10,7 @@ aliases:
 The process of drawing comparisons between unique psychometric instruments can be tricky yet crucial. When considering the likes of PHQ-9 vs SMFQ, this becomes even more apparent. PHQ-9 or the Patient Health Questionnaire and SMFQ or Short Mood & Feelings Questionnaire are two significant methods widely used in determining mental health disorders.
 
 
-While PHQ-9 focuses mainly on depression symptoms, SMFQ broadly evaluates negative mood patterns in young people. Harmony, with its sophisticated AI-powered information processing capabilities, can streamline this harmonization process, providing a systematic comparison between the multiple facets of PHQ-9 vs SMFQ.
+While PHQ-9 focuses mainly on depression symptoms, SMFQ broadly evaluates negative mood patterns in young people. Harmony, with its sophisticated AI-powered information processing capabilities, can streamline this harmonisation process, providing a systematic comparison between the multiple facets of PHQ-9 vs SMFQ.
 
 
 
@@ -27,7 +27,7 @@ While PHQ-9 focuses mainly on depression symptoms, SMFQ broadly evaluates negati
 
 
 
-Harmony employs large language models that enable it to compare individual components within these instruments, providing a percentage match between each item in PHQ-9 vs SMFQ. The software’s expansive, pre-established database also enables researchers to draw their desired instruments or upload unique ones in PDF form. Moreover, Harmony also offers multilingual support, allowing different languages to be compared seamlessly, helping broaden the global relevance and understanding of PHQ-9 vs SMFQ.
+Harmony employs large language models that enable it to compare individual components within these instruments, providing a percentage match between each item in PHQ-9 vs SMFQ. The software’s expansive, pre-established database also enables researchers to draw their desired instruments or upload unique ones in PDF form. Moreover, Harmony also offers [multilingual support](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/), allowing different languages to be compared seamlessly, helping broaden the global relevance and understanding of PHQ-9 vs SMFQ.
 
 ## Compare the items in PHQ-9 and SMFQ
 
@@ -37,7 +37,7 @@ Harmony employs large language models that enable it to compare individual compo
 
 
 
-Rigorous manual comparison of PHQ-9 vs SMFQ not only takes a hefty amount of time but is also subjected to the risk of subjective interpretation. Employing Harmony's cutting-edge features can save time, enhance objectivity, and even possibly shed light on overlooked aspects of comparative analyses between PHQ-9 vs SMFQ. Its inclusive engagement with a variety of test instruments and multilingual support further proves it to be a vital tool for psychological and social science research.
+Rigorous manual comparison of PHQ-9 vs SMFQ not only takes a hefty amount of time but is also subjected to the risk of subjective interpretation. Employing Harmony's cutting-edge features can save time, enhance objectivity, and even possibly shed light on overlooked aspects of comparative analyses between PHQ-9 vs SMFQ. Its inclusive engagement with a variety of test instruments and [multilingual support](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) further proves it to be a vital tool for psychological and social science research.
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
 
diff --git a/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md b/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md
index 8f53b5b4..183fe9cc 100644
--- a/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md
+++ b/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md
@@ -33,7 +33,7 @@ The software provides a percentage match between each item in SDQ and CBCL, effe
 
 
 
-Additionally, Harmony allows users to either select instruments from its expansive database, or directly insert their PDFs of questionnaires into the web interface. This makes the process of comparing SDQ vs CBCL both user-friendly and efficient. Harmony's multilingual competency expands the horizons of the comparative analysis between SDQ and CBCL. This crucial feature fulfills a significant requirement for researchers by allowing a comparison of the items in multiple languages. It emphasizes the versatility of the Harmony software in handling the SDQ vs CBCL comparison and providing a comprehensive platform for researchers to explore. Trust Harmony to facilitate seamless and quick harmonization, helping streamline the research process for psychologists and social scientists.
+Additionally, Harmony allows users to either select instruments from its expansive database, or directly insert their PDFs of questionnaires into the web interface. This makes the process of comparing SDQ vs CBCL both user-friendly and efficient. Harmony's multilingual competency expands the horizons of the comparative analysis between SDQ and CBCL. This crucial feature fulfills a significant requirement for researchers by allowing a comparison of the items in multiple languages. It emphasizes the versatility of the Harmony software in handling the SDQ vs CBCL comparison and providing a comprehensive platform for researchers to explore. Trust Harmony to facilitate seamless and quick harmonisation, helping streamline the research process for psychologists and social scientists.
 
 
 {{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}}
diff --git a/content/en/compare-harmonise-instruments/sdq-vs-mfq.md b/content/en/compare-harmonise-instruments/sdq-vs-mfq.md
index 65ca615b..f993ed83 100644
--- a/content/en/compare-harmonise-instruments/sdq-vs-mfq.md
+++ b/content/en/compare-harmonise-instruments/sdq-vs-mfq.md
@@ -7,7 +7,7 @@ aliases:
 
 ## SDQ vs MFQ: A Harmony-Assisted Comparative View
 
-The process of comparing behavioural screening tests, especially those in different languages, has never been more seamless thanks to Harmony. Tools like Harmony make the comparison between The Strengths and Difficulties Questionnaire (SDQ) and the Mood and Feelings Questionnaire (MFQ) considerably less time-consuming and more objective by leveraging large language models for harmonization.
+The process of comparing behavioural screening tests, especially those in different languages, has never been more seamless thanks to Harmony. Tools like Harmony make the comparison between The Strengths and Difficulties Questionnaire (SDQ) and the Mood and Feelings Questionnaire (MFQ) considerably less time-consuming and more objective by leveraging large language models for harmonisation.
 
 ## Compare the items in SDQ and MFQ
 
@@ -25,7 +25,7 @@ The process of comparing behavioural screening tests, especially those in differ
 * [AUDIT-10 vs DTC](/compare-harmonise-instruments/alcoholism/audit-10-vs-dtc)
 
 
-The SDQ vs MFQ comparative process benefits greatly from Harmony’s unique ability to establish a percentage match between each item in SDQ and MFQ. Harmony extends the capability to conduct longitudinal analysis across several studies, thereby providing researchers a broad spectrum for validating consistency and detecting social condition influenced variations.
+The SDQ vs MFQ comparative process benefits greatly from Harmony’s unique ability to establish a percentage match between each item in SDQ and MFQ. Harmony extends the capability to conduct [longitudinal analysis](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/) across several studies, thereby providing researchers a broad spectrum for validating consistency and detecting social condition influenced variations.
 
 
 {{< card heading="Try Harmony" copy="Compare SDQ and MFQ " url="https://harmonydata.ac.uk/app" >}}
diff --git a/content/en/compare-harmonise-instruments/sdq-vs-phq-9.md b/content/en/compare-harmonise-instruments/sdq-vs-phq-9.md
index d6b0fd0f..480b8a62 100644
--- a/content/en/compare-harmonise-instruments/sdq-vs-phq-9.md
+++ b/content/en/compare-harmonise-instruments/sdq-vs-phq-9.md
@@ -39,10 +39,10 @@ But why does the conversation around SDQ vs PHQ-9 matter and how can Harmony hel
 
 
 
-The juxtaposition of SDQ vs PHQ-9, therefore, becomes pivotal in ensuring comprehensive mental health evaluation right from childhood to adulthood. While analyzing SDQ vs PHQ-9 offers invaluable insights, the process of comparing these tools can be exhaustive and time-consuming, marred with the laborious task of harmonization. This is where Harmony comes to the rescue! Powered by advanced natural language processing and generative AI, Harmony serves as a revolutionary tool for researchers looking to simplify their work on questionnaire harmonisation. When it comes to SDQ vs PHQ-9, Harmony can provide a percentage match between each item in these two instruments.
+The juxtaposition of SDQ vs PHQ-9, therefore, becomes pivotal in ensuring comprehensive mental health evaluation right from childhood to adulthood. While analysing SDQ vs PHQ-9 offers invaluable insights, the process of comparing these tools can be exhaustive and time-consuming, marred with the laborious task of harmonisation. This is where Harmony comes to the rescue! Powered by advanced natural language processing and generative AI, Harmony serves as a revolutionary tool for researchers looking to simplify their work on questionnaire harmonisation. When it comes to SDQ vs PHQ-9, Harmony can provide a percentage match between each item in these two instruments.
 
 
-The ease doesn't stop there; Harmony's platform allows you to select instruments from an extensive database and even upload your own instruments in PDF format. In a world that's increasingly multilingual, Harmony's prowess extends to comparing items in multiple languages, making it an international psychologist's dream come true. Thus, with Harmony, the comparison of SDQ vs PHQ-9 can be done more swiftly and with higher precision, making your research process smoother and more reliable. While the study of SDQ vs PHQ-9 will continue to be a necessity in the field of psychology, with Harmony, you no longer need to fear the process.
+The ease doesn't stop there; Harmony's platform allows you to select instruments from an extensive database and even upload your own instruments in PDF format. In a world that's increasingly multilingual, Harmony's prowess extends to [comparing items in multiple languages](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/), making it an international psychologist's dream come true. Thus, with Harmony, the comparison of SDQ vs PHQ-9 can be done more swiftly and with higher precision, making your research process smoother and more reliable. While the study of SDQ vs PHQ-9 will continue to be a necessity in the field of psychology, with Harmony, you no longer need to fear the process.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/sdq-vs-scared.md b/content/en/compare-harmonise-instruments/sdq-vs-scared.md
index 09fc82a7..dd742424 100644
--- a/content/en/compare-harmonise-instruments/sdq-vs-scared.md
+++ b/content/en/compare-harmonise-instruments/sdq-vs-scared.md
@@ -14,7 +14,7 @@ Psychologists and social scientists often encounter difficulties in comparing di
 {{< youtube cEZppTBj1NI >}}
 
 
-The need for reliable tools to facilitate such analysis is evident, and this is where the role of Harmony becomes critical. An outstanding software solution for psychologists, Harmony presents a remarkable way to compare SDQ and SCARED (adult). Harmony, with its advanced natural language processing and generative AI models, provides an efficient process to harmonize questionnaire items. It even supports multi-lingual comparisons for a seamless user experience.
+The need for reliable tools to facilitate such analysis is evident, and this is where the role of Harmony becomes critical. An outstanding software solution for psychologists, Harmony presents a remarkable way to compare SDQ and SCARED (adult). Harmony, with its advanced natural language processing and generative AI models, provides an efficient process to harmonise questionnaire items. It even supports multi-lingual comparisons for a seamless user experience.
 
 ## Import SDQ and SCARED into Harmony to compare items
 
diff --git a/content/en/compare-harmonise-instruments/sdq-vs-smfq.md b/content/en/compare-harmonise-instruments/sdq-vs-smfq.md
index 28a70978..19b78a56 100644
--- a/content/en/compare-harmonise-instruments/sdq-vs-smfq.md
+++ b/content/en/compare-harmonise-instruments/sdq-vs-smfq.md
@@ -8,7 +8,7 @@ aliases:
 ## SDQ vs SMFQ: A Comparative Analysis Using Harmony Software
 
 
-When it comes to behavioral screening and mood assessment in children, two prominent tools stand out: The Strengths and Difficulties Questionnaire (SDQ) and the Short Mood & Feelings Questionnaire (SMFQ). Although each serves its purpose independently, a comprehensive analysis may require the comparison and harmonization of results from both tools.
+When it comes to behavioral screening and mood assessment in children, two prominent tools stand out: The Strengths and Difficulties Questionnaire (SDQ) and the Short Mood & Feelings Questionnaire (SMFQ). Although each serves its purpose independently, a comprehensive analysis may require the comparison and harmonisation of results from both tools.
 
 ## Compare the items in SDQ and SMFQ
 
@@ -16,7 +16,7 @@ When it comes to behavioral screening and mood assessment in children, two promi
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just SDQ into Harmony</a> - compare SDQ with other instruments
 * <a href="https://harmonydata.ac.uk/app/#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" target="harmonyapp">Import just SMFQ into Harmony</a> - compare SMFQ with other instruments
 
-The harmonisation of SDQ vs SMFQ presents a challenge to psychologists, one that Harmony software is optimally designed to address. Harmony, leveraging advanced AI and Natural Language Processing technology, can compare and match questionnaire items across SDQ and SMFQ swiftly and efficiently. It will not just save researchers the time-consuming and painstaking task of manual harmonization, but also ensures a higher degree of accuracy and objectivity.
+The harmonisation of SDQ vs SMFQ presents a challenge to psychologists, one that Harmony software is optimally designed to address. Harmony, leveraging advanced AI and Natural Language Processing technology, can compare and match questionnaire items across SDQ and SMFQ swiftly and efficiently. It will not just save researchers the time-consuming and painstaking task of manual harmonisation, but also ensures a higher degree of accuracy and objectivity.
 
 ## You may also be interested in these harmonisations
 
@@ -32,7 +32,7 @@ The harmonisation of SDQ vs SMFQ presents a challenge to psychologists, one that
 
 
 
-The SDQ vs SMFQ comparison doesn't have to be a tedious process anymore; with Harmony, comparisons and harmonization are just a few clicks away. The software's multilingual capacities permit questionnaire comparisons across different languages, further broadening its usability scope. Further, Harmony's intuitive web interface and easily accessible database make the comparison of SDQ vs SMFQ a smooth and effortless process. By bringing together different instruments such as SDQ and SMFQ, Harmony assists researchers not just in exploring individual scales in isolation, but also in understanding the relationship and similarities between them, offering a fascinating and cogent immersive study in SDQ vs SMFQ.
+The SDQ vs SMFQ comparison doesn't have to be a tedious process anymore; with Harmony, comparisons and harmonisation are just a few clicks away. The software's [multilingual capacities](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) permit questionnaire comparisons across different languages, further broadening its usability scope. Further, Harmony's intuitive web interface and easily accessible database make the comparison of SDQ vs SMFQ a smooth and effortless process. By bringing together different instruments such as SDQ and SMFQ, Harmony assists researchers not just in exploring individual scales in isolation, but also in understanding the relationship and similarities between them, offering a fascinating and cogent immersive study in SDQ vs SMFQ.
 
 
 
diff --git a/content/en/compare-harmonise-instruments/tw_index.md b/content/en/compare-harmonise-instruments/tw_index.md
index 36cab87d..deff9a0b 100644
--- a/content/en/compare-harmonise-instruments/tw_index.md
+++ b/content/en/compare-harmonise-instruments/tw_index.md
@@ -6,9 +6,9 @@ url: "/compare-harmonise-instruments/"
 
 Harmony offers several advantages for comparing instruments in psychology and the social sciences.
 
-**1. Efficiency:** Harmony automates the process of comparing questionnaire items, saving researchers significant time and effort. This allows them to focus on analyzing the data and interpreting the results.
+**1. Efficiency:** Harmony automates the process of comparing questionnaire items, saving researchers significant time and effort. This allows them to focus on analysing the data and interpreting the results.
 
-**2. Objectivity:** Harmony's natural language processing and generative AI models provide a more objective approach to harmonization compared to manual methods. This reduces the risk of human error and bias.
+**2. Objectivity:** Harmony's natural language processing and generative AI models provide a more objective approach to harmonisation compared to manual methods. This reduces the risk of human error and bias.
 
 **3. Consistency:** By using Harmony to compare instruments across studies, researchers can ensure consistency in their analyses and improve the reliability of their findings.
 
diff --git a/content/en/data-harmonisation-biopharma.md b/content/en/data-harmonisation-biopharma.md
index 73caa6ca..7694840b 100644
--- a/content/en/data-harmonisation-biopharma.md
+++ b/content/en/data-harmonisation-biopharma.md
@@ -15,7 +15,7 @@ url: "/data-harmonisation/data-harmonisation-in-biopharma/"
 # Harmonising Data in Biopharma
 {{< image src="/images/Harmonising Data in Biopharma.webp" alt="Harmonising Data in Biopharma" title="Harmonising Data in Biopharma" >}}
 
-In the biopharmaceutical sector, the collection and analysis of data from diverse sources—clinical trials, real-world evidence (RWE), patient registries, and more—are fundamental to drug development, regulatory approval, and post-market surveillance. However, data from these sources often vary in format, nomenclature, and measurement standards, making it challenging to aggregate and analyze them effectively. [Data harmonisation](/data-harmonisation/) addresses these challenges by standardizing disparate data for seamless integration, analysis, and interpretation.
+In the biopharmaceutical sector, the collection and analysis of data from diverse sources—clinical trials, real-world evidence (RWE), patient registries, and more—are fundamental to drug development, regulatory approval, and post-market surveillance. However, data from these sources often vary in format, nomenclature, and measurement standards, making it challenging to aggregate and analyse them effectively. [Data harmonisation](/data-harmonisation/) addresses these challenges by standardizing disparate data for seamless integration, analysis, and interpretation.
 
 ## Introduction
 
@@ -74,7 +74,7 @@ Data harmonisation plays a pivotal role in advancing research and development ef
 
 3. **Facilitated Analysis and Interpretation**: Harmonised data simplifies analysis by providing a unified framework for comparing and combining data from multiple sources. This enables researchers to extract meaningful insights and identify patterns more effectively, leading to deeper understanding and more robust conclusions. Moreover, harmonisation facilitates data visualization and exploration, allowing researchers to uncover hidden relationships and trends that may inform future research directions.
 
-4. **Accelerated Research and Development**: By streamlining data integration and analysis processes, harmonisation accelerates the pace of research and development, leading to faster drug discovery and more efficient clinical trials. By reducing the time and effort required to access, prepare, and analyze data, harmonisation enables researchers to focus on innovation and experimentation, driving progress towards the development of novel therapies and treatments.
+4. **Accelerated Research and Development**: By streamlining data integration and analysis processes, harmonisation accelerates the pace of research and development, leading to faster drug discovery and more efficient clinical trials. By reducing the time and effort required to access, prepare, and analyse data, harmonisation enables researchers to focus on innovation and experimentation, driving progress towards the development of novel therapies and treatments.
 
 5. **Optimized Resource Utilization**: Harmonised data enables better resource allocation by providing a comprehensive view of available data assets. By harmonising data from diverse sources, organizations can gain insights into their data landscape, identify redundancies and gaps, and prioritize research efforts accordingly. This optimization of resource utilization ensures that limited resources, such as time, funding, and expertise, are allocated strategically, maximizing their impact on research outcomes and driving tangible value for patients and stakeholders.
 
diff --git a/content/en/discovery/antisocial-behaviour-datasets-and-studies.md b/content/en/discovery/antisocial-behaviour-datasets-and-studies.md
index ceba7561..4efff0b0 100644
--- a/content/en/discovery/antisocial-behaviour-datasets-and-studies.md
+++ b/content/en/discovery/antisocial-behaviour-datasets-and-studies.md
@@ -31,7 +31,7 @@ Here are some examples of the kind of datasets Harmony Discovery can help you fi
 
 3. [The role of social identity on the 'contagious' transmission of scratching behaviour: Study 1, 2016-2018.](https://reshare.ukdataservice.ac.uk/853785)
 
-Longitudinal studies, which make repeated observations of the same subjects, are particularly enlightening when analyzing change at the individual level. Harmony Discovery can be instrumental in finding datasets relevant to these types of studies.
+[Longitudinal studies](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/), which make repeated observations of the same subjects, are particularly enlightening when analysing change at the individual level. Harmony Discovery can be instrumental in finding datasets relevant to these types of studies.
 
 ## The researcher's companion
 
diff --git a/content/en/discovery/autism-spectrum-disorder-datasets-and-studies.md b/content/en/discovery/autism-spectrum-disorder-datasets-and-studies.md
index c645e428..26e48260 100644
--- a/content/en/discovery/autism-spectrum-disorder-datasets-and-studies.md
+++ b/content/en/discovery/autism-spectrum-disorder-datasets-and-studies.md
@@ -43,9 +43,9 @@ Datasets related to ASD obtainable from Harmony include:
 
 2. Connected Bradford - Secondary Care: An active autism dataset used for secondary care in Bradford.
 
-3. [Special Treatment of Prediction Errors in Autism Spectrum Disorder, 2018-2021](https://reshare.ukdataservice.ac.uk/854905): This dataset analyzes the assertion of the HIPPEA (High, Inflexible Precision of Prediction Errors in Autism), which suggests that neural processes in autism inflexibly place high precision on prediction errors.
+3. [Special Treatment of Prediction Errors in Autism Spectrum Disorder, 2018-2021](https://reshare.ukdataservice.ac.uk/854905): This dataset analyses the assertion of the HIPPEA (High, Inflexible Precision of Prediction Errors in Autism), which suggests that neural processes in autism inflexibly place high precision on prediction errors.
 
-Longitudinal studies allow for repeated observations of the same subjects over a period, enabling researchers to analyze changes at the individual level. Researchers specializing in ASD can benefit significantly from Harmony's ability to efficiently zone in on appropriate ASD-related datasets.
+Longitudinal studies allow for repeated observations of the same subjects over a period, enabling researchers to analyse changes at the individual level. Researchers specializing in ASD can benefit significantly from Harmony's ability to efficiently zone in on appropriate ASD-related datasets.
 
 In summary, Harmony Discovery optimizes the process of locating relevant datasets for researchers concentrating on Autism Spectrum Disorder, proving to be an invaluable tool in social sciences and mental health research.
 
diff --git a/content/en/discovery/eating-disorders-datasets-and-studies.md b/content/en/discovery/eating-disorders-datasets-and-studies.md
index b12b48d4..88225c20 100644
--- a/content/en/discovery/eating-disorders-datasets-and-studies.md
+++ b/content/en/discovery/eating-disorders-datasets-and-studies.md
@@ -13,7 +13,7 @@ url: "/discover-data/eating-disorders-datasets-and-studies"
 
 If you're a researcher in the area of social sciences and are interested in studying Eating Disorders, finding the right datasets to power your investigation is key. Access to rich, in-depth data can significantly enhance the quality of your research. This is where Harmony Discovery comes in.
 
-Harmony Discovery is an advanced tool designed to assist researchers in finding datasets for longitudinal studies - studies that involve observing the same subjects over a period of time to analyze changes at the individual level. In the case of Eating Disorders, Harmony is a lifesaver, helping researchers discover datasets that offer insights into these conditions over a given timeframe.
+Harmony Discovery is an advanced tool designed to assist researchers in finding datasets for longitudinal studies - studies that involve observing the same subjects over a period of time to analyse changes at the individual level. In the case of Eating Disorders, Harmony is a lifesaver, helping researchers discover datasets that offer insights into these conditions over a given timeframe.
 
 Harmony has learned to match variable names and questionnaire items with datasets, using sophisticated large language models. This allows for better context and reference points on the given subject, enabling a more profound and nuanced exploration of the topic at hand.
 
diff --git a/content/en/discovery/impairment-datasets-and-studies.md b/content/en/discovery/impairment-datasets-and-studies.md
index f31fe813..9a168766 100644
--- a/content/en/discovery/impairment-datasets-and-studies.md
+++ b/content/en/discovery/impairment-datasets-and-studies.md
@@ -15,7 +15,7 @@ Harmony Discovery is an innovative tool designed for social science researchers
 
 Whether you are researching developmental disorders of arithmetical ability in children, the psychological and social problems of teenagers with congenital cerebral palsy or spina bifida with hydrocephalus, or seeking answers from the Disability Supplemental Questions Dataset, Harmony Discovery can help.
 
-Harmony Discovery employs large language models to match variable names and questionnaire items in the datasets. It is particularly useful for longitudinal studies as it facilitates repeated observations of the same subjects, enabling researchers to analyze the changes at an individual level over time. 
+Harmony Discovery employs large language models to match variable names and questionnaire items in the datasets. It is particularly useful for longitudinal studies as it facilitates repeated observations of the same subjects, enabling researchers to analyse the changes at an individual level over time. 
 
 An example of a few datasets available on Impairment include:
 
diff --git a/content/en/discovery/obsessive-compulsive-disorder-(ocd)-datasets-and-studies.md b/content/en/discovery/obsessive-compulsive-disorder-(ocd)-datasets-and-studies.md
index 798c2744..cc01e033 100644
--- a/content/en/discovery/obsessive-compulsive-disorder-(ocd)-datasets-and-studies.md
+++ b/content/en/discovery/obsessive-compulsive-disorder-(ocd)-datasets-and-studies.md
@@ -11,7 +11,7 @@ url: "/discover-data/obsessive-compulsive-disorder-ocd-datasets-and-studies"
 
 ## Discover Obsessive Compulsive Disorder (OCD) Datasets
 
-Researchers in social sciences and neurology are often required to perform longitudinal studies to gain deeper insights into mental health conditions like Obsessive Compulsive Disorder (OCD). These studies entail repeated observations of the same subjects over a period of time, allowing them to analyze changes at an individual level. However, the discovery of relevant datasets is critical for these investigative endeavours and can be a challenging task. 
+Researchers in social sciences and neurology are often required to perform longitudinal studies to gain deeper insights into mental health conditions like Obsessive Compulsive Disorder (OCD). These studies entail repeated observations of the same subjects over a period of time, allowing them to analyse changes at an individual level. However, the discovery of relevant datasets is critical for these investigative endeavours and can be a challenging task. 
 
 In light of this, Harmony Discovery offers a simple, efficient solution for researchers to discover datasets by topic, from subjects as varied as social epidemiology to neurodevelopmental disorders like OCD. 
 
diff --git a/content/en/discovery/psychosis-and-schizophrenia-datasets-and-studies.md b/content/en/discovery/psychosis-and-schizophrenia-datasets-and-studies.md
index 8fd2769c..303dfdc0 100644
--- a/content/en/discovery/psychosis-and-schizophrenia-datasets-and-studies.md
+++ b/content/en/discovery/psychosis-and-schizophrenia-datasets-and-studies.md
@@ -27,7 +27,7 @@ For researchers interested specifically in psychosis and schizophrenia datasets,
 
 ## Harnessing the Power of Longitudinal Studies
 
-Harmony Discovery also opens the door to longitudinal studies. These studies involve repeated observations of the same subjects over time, a methodology that enhances the accuracy and reliability of the data collected. This continuous monitoring allows researchers to analyze changes at the individual level, crucial for understanding conditions like psychosis and schizophrenia.
+Harmony Discovery also opens the door to longitudinal studies. These studies involve repeated observations of the same subjects over time, a methodology that enhances the accuracy and reliability of the data collected. This continuous monitoring allows researchers to analyse changes at the individual level, crucial for understanding conditions like psychosis and schizophrenia.
 
 ## Widespread Data Connection
 
diff --git a/content/en/discovery/ptsd-datasets-and-studies.md b/content/en/discovery/ptsd-datasets-and-studies.md
index e053630a..c8640416 100644
--- a/content/en/discovery/ptsd-datasets-and-studies.md
+++ b/content/en/discovery/ptsd-datasets-and-studies.md
@@ -13,7 +13,7 @@ url: "/discover-data/ptsd-datasets-and-studies"
 
 Uncovering critical insights about Post Traumatic Stress Disorder (PTSD) and the variation of its impact on individuals over time is crucial for healthcare and social science professionals. In such a scenario, having access to the right datasets can be like striking gold.
 
-Harmony Discovery is a powerful tool for researchers seeking datasets about longitudinal studies on PTSD - it's an advanced data discovery platform that employs large language models to match questionnaire items and variable names in a highly accurate manner. The main purpose? To guide researchers to the right dataset to observe and analyze subjects over an extended period and understand the developmental and behavioral changes associated with PTSD.
+Harmony Discovery is a powerful tool for researchers seeking datasets about longitudinal studies on PTSD - it's an advanced data discovery platform that employs large language models to match questionnaire items and variable names in a highly accurate manner. The main purpose? To guide researchers to the right dataset to observe and analyse subjects over an extended period and understand the developmental and behavioral changes associated with PTSD.
 
 ## Notable Features of Harmony Discovery
 
diff --git a/content/en/discovery/social-skills-datasets-and-studies.md b/content/en/discovery/social-skills-datasets-and-studies.md
index 6eb104d1..c23a9a28 100644
--- a/content/en/discovery/social-skills-datasets-and-studies.md
+++ b/content/en/discovery/social-skills-datasets-and-studies.md
@@ -33,7 +33,7 @@ Harmony Discovery utilizes large language models to match questionnaire items an
 
 
 
-Moreover, Harmony Discovery isn't limited to cross-sectional studies. Researchers interested in investigating individual change over time can access numerous longitudinal studies through the tool. Longitudinal studies involve repeated observations of the same subjects, enabling change at an individual level to be analyzed effectively. This can be invaluable in understanding the evolution of social skills over time.
+Moreover, Harmony Discovery isn't limited to cross-sectional studies. Researchers interested in investigating individual change over time can access numerous longitudinal studies through the tool. Longitudinal studies involve repeated observations of the same subjects, enabling change at an individual level to be analysed effectively. This can be invaluable in understanding the evolution of social skills over time.
 
 The Harmony is connected to a range of valuable data sources, such as the [UKLLC](https://explore.ukllc.ac.uk), [Closer](https://www.closer.ac.uk/), the [Catalogue of Mental Health Measures](https://www.cataloguementalhealth.ac.uk/), [HDR UK](https://www.hdruk.ac.uk/), and [ADR UK](https://www.adruk.org/). These partnerships offer an enriched repository of datasets that can foster insightful research in social skills.
 
diff --git a/content/en/discovery/somatic-symptom-disorder-datasets-and-studies.md b/content/en/discovery/somatic-symptom-disorder-datasets-and-studies.md
index f37276ce..d7f7e978 100644
--- a/content/en/discovery/somatic-symptom-disorder-datasets-and-studies.md
+++ b/content/en/discovery/somatic-symptom-disorder-datasets-and-studies.md
@@ -15,7 +15,7 @@ Harmony Discovery is a powerful tool that researchers can use to explore dataset
 
 ## What is Somatic Symptom Disorder?
 
-Somatic Symptom Disorder is a mental health disorder characterized by an extreme focus on physical symptoms, such as pain or fatigue, causing major emotional distress and problems functioning. The person has excessive thoughts, feelings or behaviors related to the physical symptoms. The symptoms can be related to any part of the body and can widely vary in their severity.
+Somatic Symptom Disorder is a [mental health](/ai-in-mental-health/) disorder characterized by an extreme focus on physical symptoms, such as pain or fatigue, causing major emotional distress and problems functioning. The person has excessive thoughts, feelings or behaviors related to the physical symptoms. The symptoms can be related to any part of the body and can widely vary in their severity.
 
 ## Using Harmony Discovery for Research
 
@@ -25,7 +25,7 @@ Research data regarding Somatic Symptom Disorder can be found in various databas
 
 ## The Value of Longitudinal Studies
 
-Longitudinal studies are particularly informative for researchers as they allow changes to be analyzed at an individual level, yielding detailed and nuanced findings. Such studies provide valuable insights into the progression of Somatic Symptom Disorder and can be crucial for determining effective interventions or therapies. 
+Longitudinal studies are particularly informative for researchers as they allow changes to be analysed at an individual level, yielding detailed and nuanced findings. Such studies provide valuable insights into the progression of Somatic Symptom Disorder and can be crucial for determining effective interventions or therapies. 
 
 ## Conclusion
 
diff --git a/content/en/item-harmonisation.md b/content/en/item-harmonisation.md
index abaf70f6..846572ff 100644
--- a/content/en/item-harmonisation.md
+++ b/content/en/item-harmonisation.md
@@ -29,7 +29,7 @@ Harmony is a free online tool that leverages the power of  [natural language pro
 Here's how Harmony simplifies your work:
 
 * **Effortless matching:**  Upload your questionnaires and Harmony uses  cutting-edge AI  to identify  semantically equivalent items**  across different instruments. This eliminates the need for manual slogging through PDFs.
-* **Goodbye language barriers:**  Harmony tackles questionnaires in  multiple languages**. This opens doors to analyzing data from a wider range of populations.
+* **Goodbye language barriers:**  Harmony tackles questionnaires in  multiple languages**. This opens doors to analysing data from a wider range of populations.
 * **Time is precious:**  Harmony automates a significant portion of the item harmonisation process, freeing up your valuable research time.
 
 ## The benefits of effective item harmonisation
diff --git a/content/en/landing_instruments/columbia-suicide-severity-rating-scale-c-ssrs.md b/content/en/landing_instruments/columbia-suicide-severity-rating-scale-c-ssrs.md
index 84af2aea..48903ada 100644
--- a/content/en/landing_instruments/columbia-suicide-severity-rating-scale-c-ssrs.md
+++ b/content/en/landing_instruments/columbia-suicide-severity-rating-scale-c-ssrs.md
@@ -17,11 +17,11 @@ Validation is an important aspect of instrument development and use. It refers t
 * [CES-D vs Beck Anxiety Inventory](/ces-d-vs-beck-anxiety-inventory)
 * [Validation and Harmonisation of Oswestry Disability Index (ODI)](/harmonisation-validation/oswestry-disability-index-odi)
 
-Harmony, a software developed for psychologists, can assist researchers in the validation and harmonization of the C-SSRS with other instruments. By using natural language processing and generative AI models, Harmony can compare items in the C-SSRS with those in other instruments and provide a percentage match. This can help researchers identify common variables and establish crosswalks between the C-SSRS and other instruments.
+Harmony, a software developed for psychologists, can assist researchers in the validation and harmonisation of the C-SSRS with other instruments. By using natural language processing and generative AI models, Harmony can compare items in the C-SSRS with those in other instruments and provide a percentage match. This can help researchers identify common variables and establish crosswalks between the C-SSRS and other instruments.
 
-In addition, Harmony's ability to compare items in multiple languages can be useful for researchers looking to harmonize the C-SSRS with instruments in different languages. This can aid in the validation process, as it allows for cross-cultural comparisons and ensures the measure is valid across different linguistic and cultural groups.
+In addition, Harmony's ability to compare items in multiple languages can be useful for researchers looking to harmonise the C-SSRS with instruments in different languages. This can aid in the validation process, as it allows for cross-cultural comparisons and ensures the measure is valid across different linguistic and cultural groups.
 
-By using Harmony, researchers can easily compare and harmonize the C-SSRS with other instruments, saving time and ensuring the validity of their research. This can also help facilitate the use of the C-SSRS in longitudinal studies, as it allows for comparisons of results across different time periods and studies. Overall, Harmony can significantly benefit the validation and harmonization of the C-SSRS, making it a valuable tool for researchers in their assessment of suicide-related thoughts and behaviors. 
+By using Harmony, researchers can easily compare and harmonise the C-SSRS with other instruments, saving time and ensuring the validity of their research. This can also help facilitate the use of the C-SSRS in longitudinal studies, as it allows for comparisons of results across different time periods and studies. Overall, Harmony can significantly benefit the validation and harmonisation of the C-SSRS, making it a valuable tool for researchers in their assessment of suicide-related thoughts and behaviors. 
 
 
 {{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) " title=" Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) " >}}
diff --git a/content/en/landing_instruments/hamilton-depression-rating-scale.md b/content/en/landing_instruments/hamilton-depression-rating-scale.md
index 0da514ed..31b144fa 100644
--- a/content/en/landing_instruments/hamilton-depression-rating-scale.md
+++ b/content/en/landing_instruments/hamilton-depression-rating-scale.md
@@ -11,7 +11,7 @@ The Hamilton depression rating scale (HDRS) is a widely used and validated instr
 {{< card heading="Try Harmony" copy=" Validation and Harmonisation of Hamilton depression rating scale " url="https://harmonydata.ac.uk/app" >}}
 {{< youtube cEZppTBj1NI >}}
 
-Harmony can be a useful tool for researchers who want to validate or compare the HDRS with other instruments. With its natural language processing capabilities and AI models, Harmony can analyze the items in the HDRS and compare them to items in other instruments. This can help researchers identify which items in the HDRS correspond to similar items in other instruments, and establish crosswalks between them.
+Harmony can be a useful tool for researchers who want to validate or compare the HDRS with other instruments. With its natural language processing capabilities and AI models, Harmony can analyse the items in the HDRS and compare them to items in other instruments. This can help researchers identify which items in the HDRS correspond to similar items in other instruments, and establish crosswalks between them.
 
 * [Validation and Harmonisation of Berg Balance Scale](/harmonisation-validation/berg-balance-scale)
 * [Validation and Harmonisation of Dermatology Life Quality Index (DLQI)](/harmonisation-validation/dermatology-life-quality-index-dlqi)
diff --git a/content/en/landing_instruments/loe-silness-gingival-index.md b/content/en/landing_instruments/loe-silness-gingival-index.md
index f1aeede9..e917c602 100644
--- a/content/en/landing_instruments/loe-silness-gingival-index.md
+++ b/content/en/landing_instruments/loe-silness-gingival-index.md
@@ -19,7 +19,7 @@ Harmony can aid researchers in validating and harmonising the Loe & Silness Ging
 
 Using Harmony's natural language processing and AI models, researchers can quickly and accurately compare the Loe & Silness Gingival Index with other instruments in multiple languages. This not only saves time and resources, but also helps ensure consistency and accuracy in the measurement of the construct being studied.
 
-Furthermore, researchers can use Harmony to validate the Loe & Silness Gingival Index by analyzing its effectiveness in measuring changes in gingival inflammation over time. This can be done by using Harmony to compare results from the Loe & Silness Gingival Index with those from other instruments over a period of time.
+Furthermore, researchers can use Harmony to validate the Loe & Silness Gingival Index by analysing its effectiveness in measuring changes in gingival inflammation over time. This can be done by using Harmony to compare results from the Loe & Silness Gingival Index with those from other instruments over a period of time.
 
 In summary, Harmony can greatly aid in the validation and harmonisation of the Loe & Silness Gingival Index with other instruments in order to enhance the effectiveness and accuracy of research in the field of gingival inflammation.
 
diff --git a/content/en/landing_instruments/medical-outcomes-survey-sleep-quality-subscale.md b/content/en/landing_instruments/medical-outcomes-survey-sleep-quality-subscale.md
index 4fe75fbb..74f34613 100644
--- a/content/en/landing_instruments/medical-outcomes-survey-sleep-quality-subscale.md
+++ b/content/en/landing_instruments/medical-outcomes-survey-sleep-quality-subscale.md
@@ -19,7 +19,7 @@ Researchers may want to validate the MOS-SQS or harmonise it with other similar
 
 Harmony uses natural language processing and generative AI models to compare instruments, including the MOS-SQS, and can give a percentage match between each item in the instrument. This can help researchers identify which variables in the MOS-SQS match variables in other instruments and establish crosswalks between them. 
 
-Additionally, researchers can select the MOS-SQS from Harmony's database or upload their own version of the instrument in PDF form. Harmony can then analyze and compare the items in both versions, providing researchers with a harmonised version of the instrument.
+Additionally, researchers can select the MOS-SQS from Harmony's database or upload their own version of the instrument in PDF form. Harmony can then analyse and compare the items in both versions, providing researchers with a harmonised version of the instrument.
 
 By harmonising the MOS-SQS with other instruments, researchers can ensure that their data is consistent and comparable across different studies. This can improve the validity of their research and help them make more accurate and reliable conclusions.
 
diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-item-harmonisation.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-item-harmonisation.md
index 0d9a3735..1bcf7ec9 100644
--- a/content/en/landing_topics/harmony-a-free-ai-tool-for-item-harmonisation.md
+++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-item-harmonisation.md
@@ -19,11 +19,11 @@ One of the key features of Harmony is its ability to match items from various qu
 
 In addition to the built-in database of instruments, Harmony also allows researchers to upload their own instruments in PDF form through its user-friendly web interface at https://harmonydata.ac.uk/app. This gives users the flexibility to use their preferred instruments and seamlessly integrate them into their study.
 
-Harmony's advanced language models can provide a percentage match between items from different instruments, such as GAD-7 and PHQ-9. This makes it easier for researchers to analyze and compare longitudinal data from multiple studies. This not only saves time but also improves the accuracy and consistency of results.
+Harmony's advanced language models can provide a percentage match between items from different instruments, such as GAD-7 and PHQ-9. This makes it easier for researchers to analyse and compare longitudinal data from multiple studies. This not only saves time but also improves the accuracy and consistency of results.
 
 Another advantage of using Harmony is its ability to compare items in multiple languages. This is particularly beneficial for cross-cultural research, where language differences can pose a challenge in harmonising items from different instruments.
 
-In conclusion, Harmony is a valuable tool for psychologists and social scientists, helping them with the essential process of harmonising questionnaire items. With its AI-powered technology and user-friendly interface, Harmony makes it easier and faster for researchers to compare instruments and analyze data from longitudinal studies. 
+In conclusion, Harmony is a valuable tool for psychologists and social scientists, helping them with the essential process of harmonising questionnaire items. With its AI-powered technology and user-friendly interface, Harmony makes it easier and faster for researchers to compare instruments and analyse data from longitudinal studies. 
 
 
 {{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Item Harmonisation " title=" Harmony: A Free AI Tool for Item Harmonisation " >}}
diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology.md
index 13e6dbae..60c754c6 100644
--- a/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology.md
+++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology.md
@@ -21,7 +21,7 @@ The interface of Harmony is user-friendly and intuitive. Researchers can either
 
 One of the key advantages of using Harmony is its ability to compare items in multiple languages. This is especially useful for international studies, where questionnaires may be translated into different languages. By using Harmony, researchers can ensure consistency and accuracy in their comparisons across different languages.
 
-By using Harmony, psychologists can easily compare instruments in longitudinal studies and analyze the consistency of results across different studies. This helps in understanding the impact of changing social conditions on psychological factors over time.
+By using Harmony, psychologists can easily compare instruments in longitudinal studies and analyse the consistency of results across different studies. This helps in understanding the impact of changing social conditions on psychological factors over time.
 
 Overall, Harmony is a valuable tool for psychologists and social scientists, providing an efficient and accurate solution for harmonising questionnaire items in cross-cultural and longitudinal studies. And the best part? It's completely free to use. So why spend hours manually harmonising questionnaires when Harmony can do it for you? Give it a try and see the difference it can make in your research.
 
diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-to-combine-cohort-studies.md b/content/en/landing_topics/harmony-a-free-ai-tool-to-combine-cohort-studies.md
index 2556f27a..808e2e69 100644
--- a/content/en/landing_topics/harmony-a-free-ai-tool-to-combine-cohort-studies.md
+++ b/content/en/landing_topics/harmony-a-free-ai-tool-to-combine-cohort-studies.md
@@ -12,7 +12,7 @@ Harmony is an innovative software that has been specifically designed for psycho
 {{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool to Combine Cohort Studies " url="https://harmonydata.ac.uk/app" >}}
 {{< youtube cEZppTBj1NI >}}
 
-One of the main features of Harmony is its ability to match items in different questionnaires, ultimately making the process of harmonisation faster and more accurate. This is crucial for psychologists as they often have to compare and analyze data from multiple studies, including longitudinal studies. With Harmony, researchers can easily make comparisons within and across studies, allowing for a deeper understanding of the data and potential changes in social conditions.
+One of the main features of Harmony is its ability to match items in different questionnaires, ultimately making the process of harmonisation faster and more accurate. This is crucial for psychologists as they often have to compare and analyse data from multiple studies, including longitudinal studies. With Harmony, researchers can easily make comparisons within and across studies, allowing for a deeper understanding of the data and potential changes in social conditions.
 
 * [Validation and Harmonisation of Overall Health-related Quality of Life (SF-36)](/harmonisation-validation/overall-health-related-quality-of-life-sf-36)
 * [GAD-7 vs SDQ](/gad-7-vs-sdq)
diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-cohort-studies.md b/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-cohort-studies.md
index a89afc7d..a19f847c 100644
--- a/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-cohort-studies.md
+++ b/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-cohort-studies.md
@@ -6,7 +6,7 @@ url: /item-harmonisation/harmony-a-free-ai-tool-to-merge-cohort-studies
 
 ## Harmony: A Free AI Tool to Merge Cohort Studies
 
-Harmony is a software that uses natural language processing and generative AI models to assist psychologists in [harmonising questionnaire items](/item-harmonisation/). Whether researchers are merging items from different questionnaires or comparing instruments in longitudinal studies, Harmony can efficiently analyze and match items in multiple languages.
+Harmony is a software that uses natural language processing and generative AI models to assist psychologists in [harmonising questionnaire items](/item-harmonisation/). Whether researchers are merging items from different questionnaires or comparing instruments in longitudinal studies, Harmony can efficiently analyse and match items in multiple languages.
 
 {{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool to Merge Cohort Studies " url="https://harmonydata.ac.uk/app" >}}
 {{< youtube cEZppTBj1NI >}}
diff --git a/content/en/psychology-ai-tool.md b/content/en/psychology-ai-tool.md
index fd9a9f3c..62969ffb 100644
--- a/content/en/psychology-ai-tool.md
+++ b/content/en/psychology-ai-tool.md
@@ -17,7 +17,7 @@ One major hurdle in psychology research is [data harmonisation](/data-harmonisat
 
 Harmony uses:
 
-* **Natural Language Processing (NLP):** NLP allows Harmony to understand the meaning and intent behind questionnaire items. By analyzing the language itself, it can identify similarities between seemingly different phrases, even in different languages.
+* **Natural Language Processing (NLP):** NLP allows Harmony to understand the meaning and intent behind questionnaire items. By analysing the language itself, it can identify similarities between seemingly different phrases, even in different languages.
 * **Generative AI Models:** Imagine a tool that can bridge the gap between "I often feel anxious" and "Feeling nervous, anxious or afraid." Harmony uses generative AI models to do exactly that. These models, trained on vast datasets of text, recognise subtle variations in wording and suggest harmonised versions of questionnaire items.
 
 ## Benefits for Researchers