Small updates, adds quote and new arXiv pub

content/_index.md

@@ -18,11 +18,17 @@ description: "Personal webpage of Johannes Nauta."
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-> <small><em>"... and so we have science, to deduce about the gargantuan what we, with our infinitesimal faculties, will never sense."</em> --- [(Scott Aaronson)](https://www.scottaaronson.com/writings/bignumbers.html) </small>
+>
+<small><em>"Those who are astonished by the simplicity of the solution are urged to meditate on the wonders of hindsight."</em> --- [(Ulanowich, 1995)](https://people.clas.ufl.edu/ulan/files/Lindeman.pdf) </small>
+
+<small><em>"... and so we have science, to deduce about the gargantuan what we, with our infinitesimal faculties, will never sense."</em> --- [(Scott Aaronson)](https://www.scottaaronson.com/writings/bignumbers.html) </small>
 
 ## Welcome :earth_africa:
-I am Johannes Nauta, and I am currently a postdoctoral researcher studying networks and complex systems.
-I am working at the Dept. of Physics of the University of Padova in Italy.
+My name is Johannes Nauta, and I am currently a postdoctoral researcher studying networks and complex systems at the Dept. of Physics of the University of Padova in Italy.
+</br>
+</br>
+</br>
+</br>
 
 ### Current research
 My work aims to unravel how local (microscopic) feedback mechanisms influence global (meso- and macroscopic) dynamics of (meta)populations. 

content/pages/research.md

@@ -24,7 +24,15 @@ Furthermore, I will apply my vast experience with scientific computing to write
 This will facilitate all members of this project to execute simulations and complex analyses, greatly enhancing the turnover rate.
 
 
-## Latest work
+## Latest works
+<div class="references"><p>
+    <a href="https://arxiv.org/pdf/2405.05390" class="publication">
+    J. Nauta and M. De Domenico (2024).
+    "<em>Topological conditions drive stability in meta-ecosystems</em>". 
+    </a>
+  <br>⤷ <small>We study the effect of dispersal on (linear) stability in meta-ecosystems. Dispersal takes place on a connected network with arbitrary degree distributions. Our work shows that there are three distinct features that underlie stability: edge density, tendency to triadic closure, and isolation. It further highlights that one cannot disregard properties of the dispersal network when studying stability of meta-ecosystems.</small>
+  </p></div>
+
 <div class="references"><p>
     <a href="https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2022.0103" class="publication">
     J. Nauta <i>et al.</i> (2022).