[seminar] Online seminar ZS-HFD - četvrtak 7.5. (DANAS) u 15.00

[Marko Kralj]

Poštovani,

u ime Znanstvene sekcije HFD-a kao organizatora online seminara 
obavještavam vas da će danas, u četvrtak 7. svibnja 2020. s početkom u 
*15.00 CEST* održat će se drugi online seminar Znanstvene sekcije 
Hrvatskog fizikalnog društva. Predavač je doc. dr. sc. *Marko Jusup* 
(Tokyo Institute for Technology, naslovni docent na Odjelu za fiziku 
Sveučilišta u Rijeci), a naslov predavanja *"Biophysical understanding 
of sugar metabolism based on a combined empirical-theoretical 
approach"*. Predavanje će biti na engleskom jeziku, a diskusija nakon 
predavanja je moguća i na hrvatskom jeziku. Sažetak se nalazi dolje u 
nastavku poruke.

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:
meet.google.com/smi-jbsc-vbr <http://meet.google.com/smi-jbsc-vbr>

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.

Srdačan pozdrav u ime ZS HFD,

Dijana Dominis Prester

-------------------------------------

Biophysical understanding of sugar metabolism based on a combined
empirical-theoretical approach

Modeling sugar, or glucose, metabolism is of particular importance
nowadays given the increasing incidence of diabetes in the world, as
well as the increased sensitivity of diabetes patients to others,
including infectious, diseases. Pancreatic beta-cells are one of the
cell types that make up about a thousand to million separate
microorgans called islets, with the function to help keep a delicate
metabolic balance known as glucose homeostasis. Evidence suggests that
beta-cells perform their function via heavy cell-to-cell communication
within the physical limits of an islet, implying that both nutrient
sensing and controlled insulin release emerge as collective processes
rather than being encoded directly into individual beta-cells. We
constructed a dynamical-network model that simulates cell activity,
and does so in a manner that faithfully mimics empirical signals.
Using the model, we show that network nodes, as the theoretical
equivalent of cells, preserve their statistical properties during
normal operation, which again closely corresponds to empirical
signals. Finally, we illustrate that model-generated and
empirically-estimated correlation networks are in excellent agreement.
 From a mechanistic standpoint, the results endorse the idea that
living cell systems, just as modeled dynamical networks, ensure
sensitivity to threshold glucose stimulation through coordinated
action. During the seminar, we will show how empirical and theortical
approaches complement each other on the path to the ultimate goal of
developing new diagnostic methods to combat diabetes.
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