Sadjad Arzash

90 posts

Sadjad Arzash

Sadjad Arzash

@SadjadArzash

Postdoc @GeorgiaTech. Previously @SyracuseU and @Penn. PhD @RiceUniversity. Soft matter and biophysics theory

Katılım Şubat 2024
322 Takip Edilen117 Takipçiler
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Sadjad Arzash
Sadjad Arzash@SadjadArzash·
Can biological tissues "learn"? bioRxiv w/ @ShilaBanerji: Epithelial tissues exhibit emergent behaviors akin to unsupervised learning. Local tension remodeling allows cell networks to store long-range memory and program global elasticity properties. biorxiv.org/content/10.648…
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PRX Life
PRX Life@PRX_Life·
Using a new method to characterize the mechanical properties and driving forces of microtubules in living cells, this study finds that polyglutamylation increases microtubule stiffness, while tube-like mitochondria have a much lower bending stiffness. 🔗 go.aps.org/4rTJFh2
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Journal of Rheology
Journal of Rheology@JoRheology·
Stress-controlled simulations reveal how repulsion-to-friction transitions drive shear thickening and jamming in dense bidisperse suspensions, with rigid cluster growth, anisotropic contact networks, and critical-like fluctuations signaling shear jamming. pubs.aip.org/sor/jor/articl…
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Nature Physics
Nature Physics@NaturePhysics·
Starfish embryos can form living chiral crystals. Now it is shown that these crystals can spontaneously, as well as inducibly, transition between two stable states: fluctuating and oscillatory. nature.com/articles/s4156…
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UN Watch
UN Watch@UNWatch·
BREAKING: Cross-regional coalition of 30 NGOs is demanding urgent UN emergency action to stop the mass killing of Iranian protesters. Over 12,000 reportedly killed since Dec. 28. Silence now would mean complicity. The UN must act—now. unwatch.org/global-coaliti… #UrgentUNSessionIran
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PRX Life
PRX Life@PRX_Life·
A study of 3D cell shapes and tissue structure in fruit fly embryos shows how epithelial cells exchange neighbors over their full apical-basal span during convergent extension — revealing new insights on the structure and dynamics of remodeling epithelia. go.aps.org/49VqZ99
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Physical Review X
Physical Review X@PhysRevX·
Individual active filaments, from living worms to a robotic filament chain, aggregate dispersed non-Brownian passive particles from repeated contact and body deformation, with clustering dynamics governed by filament length and bending stiffness. 🔗 go.aps.org/45iz5an
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TLecuitLab
TLecuitLab@LecuitLab·
Here is the link to download the PDF of my course#5 on Biological computation @cdf1530. I present & discuss Self-tuning, Adaptation and Learning in biological (non-neuronal) systems, in particular during embryonic development. Enjoy! tinyurl.com/hcpwsbtm
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Ben Schulz
Ben Schulz@schulzb589·
@SadjadArzash @ShilaBanerji Congratulations. Tangentially related paper you might find interesting. x.com/i/status/20021…
Michael Levin@drmichaellevin

A new, long paper on evolution - natural induction - split into 2: royalsocietypublishing.org/rsfs/article/1… royalsocietypublishing.org/rsfs/article/1… @RichardWatson90 and Tim Lewens "It is conventionally assumed that all evolutionary adaptation is produced, and could only possibly be produced, by natural selection. Natural induction is a different mechanism of adaptation. It occurs in dynamical systems described by a network of interactions, where connections give way slightly under stress and the system is subject to occasional perturbations. This differential adjustment of connections causes reorganization of the system’s internal structure in a manner equivalent to associative learning familiar in neural networks. This is sufficient for storage and recall of multiple patterns, learning with generalization and solving difficult constraint problems (without any natural selection involved). Various biological systems (from gene-regulation networks to metabolic networks to ecosystems) meet these basic conditions and therefore have potential to exhibit adaptation by natural induction. Here (and in a follow-on paper), we consider various ways that natural induction and natural selection might interact in biological evolution. For example, in some cases, natural selection may act not as a source of adaptations but as a memory of adaptations discovered by natural induction. We conclude that evolution by natural induction is a viable process that expands our understanding of evolutionary adaptation."

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Sadjad Arzash
Sadjad Arzash@SadjadArzash·
Can biological tissues "learn"? bioRxiv w/ @ShilaBanerji: Epithelial tissues exhibit emergent behaviors akin to unsupervised learning. Local tension remodeling allows cell networks to store long-range memory and program global elasticity properties. biorxiv.org/content/10.648…
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Sadjad Arzash
Sadjad Arzash@SadjadArzash·
@Archaeon_Alex Thanks, Alex. And yes, the idea that biological materials can evolve their properties via internal remodeling feels like a huge space. If you end up reading it, I’d be curious what systems you think are the best testbeds for such mechanical memory.
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Alex Bisson
Alex Bisson@Archaeon_Alex·
@SadjadArzash @ShilaBanerji In my reading list. But congrats on the originality…I keep thinking how much emergent and evolving properties are hidden in biological materials…a complete new field of evolutionary cell biology.
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PRX Life
PRX Life@PRX_Life·
Inferring division-induced force dipoles from tissue strain fields quantifies the mechanical forces of cell division and their impact on tissue mechanics. Read more: go.aps.org/4nL3aFL
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