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<div>Poštovani,</div>
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<div>u ime Znanstvene sekcije HFD-a kao organizatora online seminara
obavještavam vas da će danas, u četvrtak 7. svibnja 2020. s
početkom u <b>15.00 CEST</b> održat će se drugi online seminar
Znanstvene sekcije Hrvatskog fizikalnog društva. Predavač je doc.
dr. sc. <b>Marko Jusup</b> (Tokyo Institute for Technology,
naslovni docent na Odjelu za fiziku Sveučilišta u Rijeci), a
naslov predavanja <font size="2" face="Arial, Helvetica"><font
size="2" face="Arial, Helvetica"><b>"Biophysical understanding
of sugar metabolism based on a combined
empirical-theoretical approach"</b>. Predavanje će biti na
engleskom jeziku, a diskusija nakon predavanja je moguća i na
hrvatskom jeziku. Sažetak se nalazi dolje u nastavku poruke.<br>
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<div>Seminar će se održati putem platforme Google meet. Nije
potrebno instaliranje aplikacije već se spajanje izvodi pomoću
mrežnog preglednika. Trebalo bi raditi i u drugim preglednicima,
no preporuka je korištenje Google Chrome. Poveznica:</div>
<div><span
style="font-size:small;font-family:arial,helvetica,sans-serif"><span
style="color:rgb(95,99,104);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:0.3px;text-align:start;text-indent:0px;text-transform:none;white-space:nowrap;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;display:inline;float:none"><a
href="http://meet.google.com/smi-jbsc-vbr" target="_blank">meet.google.com/smi-jbsc-vbr</a></span></span></div>
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<div>Virtualna soba bit će dostupna od 14.30. Preporuka je spojiti
se ranije, jer treba vremena za odobravanje spajanja svakom
sudioniku pojedinačno. Predavanje će početi u 15.00.</div>
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<div>Srdačan pozdrav u ime ZS HFD,</div>
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<div>Dijana Dominis Prester</div>
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<div>Biophysical understanding of sugar metabolism based on a
combined<br>
empirical-theoretical approach<br>
<br>
Modeling sugar, or glucose, metabolism is of particular
importance<br>
nowadays given the increasing incidence of diabetes in the
world, as<br>
well as the increased sensitivity of diabetes patients to
others,<br>
including infectious, diseases. Pancreatic beta-cells are one of
the<br>
cell types that make up about a thousand to million separate<br>
microorgans called islets, with the function to help keep a
delicate<br>
metabolic balance known as glucose homeostasis. Evidence
suggests that<br>
beta-cells perform their function via heavy cell-to-cell
communication<br>
within the physical limits of an islet, implying that both
nutrient<br>
sensing and controlled insulin release emerge as collective
processes<br>
rather than being encoded directly into individual beta-cells.
We<br>
constructed a dynamical-network model that simulates cell
activity,<br>
and does so in a manner that faithfully mimics empirical
signals.<br>
Using the model, we show that network nodes, as the theoretical<br>
equivalent of cells, preserve their statistical properties
during<br>
normal operation, which again closely corresponds to empirical<br>
signals. Finally, we illustrate that model-generated and<br>
empirically-estimated correlation networks are in excellent
agreement.<br>
From a mechanistic standpoint, the results endorse the idea that<br>
living cell systems, just as modeled dynamical networks, ensure<br>
sensitivity to threshold glucose stimulation through coordinated<br>
action. During the seminar, we will show how empirical and
theortical<br>
approaches complement each other on the path to the ultimate
goal of<br>
developing new diagnostic methods to combat diabetes.<br>
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