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#cs

9 posts8 participants4 posts today
Public
Rxiv mechanobio

📰 "Equilibrium Conserving Neural Operators for Super-Resolution Learning"
arxiv.org/abs/2504.13422 #Physics.Comp-Ph #Mechanics #Matrix #Cs.Lg

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arXiv.orgEquilibrium Conserving Neural Operators for Super-Resolution LearningNeural surrogate solvers can estimate solutions to partial differential equations in physical problems more efficiently than standard numerical methods, but require extensive high-resolution training data. In this paper, we break this limitation; we introduce a framework for super-resolution learning in solid mechanics problems. Our approach allows one to train a high-resolution neural network using only low-resolution data. Our Equilibrium Conserving Operator (ECO) architecture embeds known physics directly into the network to make up for missing high-resolution information during training. We evaluate this ECO-based super-resolution framework that strongly enforces conservation-laws in the predicted solutions on two working examples: embedded pores in a homogenized matrix and randomly textured polycrystalline materials. ECO eliminates the reliance on high-fidelity data and reduces the upfront cost of data collection by two orders of magnitude, offering a robust pathway for resource-efficient surrogate modeling in materials modeling. ECO is readily generalizable to other physics-based problems.
Public
Rxiv mechanobio

📰 "The Dissipation Theory of Aging: A Quantitative Analysis Using a Cellular Aging Map"
arxiv.org/abs/2504.13044 #Physics.Bio-Ph #Q-Bio.Qm #Dynamics #Cs.Lg #Cell

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arXiv.orgThe Dissipation Theory of Aging: A Quantitative Analysis Using a Cellular Aging MapWe propose a new theory for aging based on dynamical systems and provide a data-driven computational method to quantify the changes at the cellular level. We use ergodic theory to decompose the dynamics of changes during aging and show that aging is fundamentally a dissipative process within biological systems, akin to dynamical systems where dissipation occurs due to non-conservative forces. To quantify the dissipation dynamics, we employ a transformer-based machine learning algorithm to analyze gene expression data, incorporating age as a token to assess how age-related dissipation is reflected in the embedding space. By evaluating the dynamics of gene and age embeddings, we provide a cellular aging map (CAM) and identify patterns indicative of divergence in gene embedding space, nonlinear transitions, and entropy variations during aging for various tissues and cell types. Our results provide a novel perspective on aging as a dissipative process and introduce a computational framework that enables measuring age-related changes with molecular resolution.
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C.

@bignose @Natanox

Indeed! "Perfection is when there is nothing more to take away, rather than nothing more to add".

There's also a joke in software circles that every program contains at least one bug and can be optimized by at least one instruction -- and that therefore all software is reducible to a single instruction that doesn't work 😉

#CS#CompSci#SoftwareEngineering
Public
Rxiv mechanobio

📰 "Cellular Development Follows the Path of Minimum Action"
arxiv.org/abs/2504.08096 #Physics.Comp-Ph #Physics.Bio-Ph #Elasticity #Cs.Ai #Cell

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arXiv.orgCellular Development Follows the Path of Minimum ActionCellular development follows a stochastic yet rule-governed trajectory, though the underlying principles remain elusive. Here, we propose that cellular development follows paths of least action, aligning with foundational physical laws that govern dynamic systems across nature. We introduce a computational framework that takes advantage of the deep connection between the principle of least action and maximum entropy to model developmental processes using Transformers architecture. This approach enables precise quantification of entropy production, information flow curvature, and local irreversibility for developmental asymmetry in single-cell RNA sequence data. Within this unified framework, we provide interpretable metrics: entropy to capture exploration-exploitation trade-offs, curvature to assess plasticity-elasticity dynamics, and entropy production to characterize dedifferentiation and transdifferentiation. We validate our method across both single-cell and embryonic development datasets, demonstrating its ability to reveal hidden thermodynamic and informational constraints shaping cellular fate decisions.
Public
Rxiv mechanobio

📰 "Implicit Incompressible Porous Flow using SPH"
arxiv.org/abs/2504.07739 #Physics.Flu-Dyn #Adhesion #Forces #Cs.Gr

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arXiv.orgImplicit Incompressible Porous Flow using SPHWe present a novel implicit porous flow solver using SPH, which maintains fluid incompressibility and is able to model a wide range of scenarios, driven by strongly coupled solid-fluid interaction forces. Many previous SPH porous flow methods reduce particle volumes as they transition across the solid-fluid interface, resulting in significant stability issues. We instead allow fluid and solid to overlap by deriving a new density estimation. This further allows us to extend modern SPH pressure solvers to take local porosity into account and results in strict enforcement of incompressibility. As a result, we can simulate porous flow using physically consistent pressure forces between fluid and solid. In contrast to previous SPH porous flow methods, which use explicit forces for internal fluid flow, we employ implicit non-pressure forces. These we solve as a linear system and strongly couple with fluid viscosity and solid elasticity. We capture the most common effects observed in porous flow, namely drag, buoyancy and capillary action due to adhesion. To achieve elastic behavior change based on local fluid saturation, such as bloating or softening, we propose an extension to the elasticity model. We demonstrate the efficacy of our model with various simulations that showcase the different aspects of porous flow behavior. To summarize, our system of strongly coupled non-pressure forces and enforced incompressibility across overlapping phases allows us to naturally model and stably simulate complex porous interactions.
Public
Rxiv mechanobio

📰 "FJ-MM: The Friedkin-Johnsen Opinion Dynamics Model with Memory and Higher-Order Neighbors"
arxiv.org/abs/2504.06731 #Physics.Soc-Ph #Dynamics #Eess.Sy #Math.Oc #Matrix #Cs.Sy #Cs.Ma

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arXiv.orgFJ-MM: The Friedkin-Johnsen Opinion Dynamics Model with Memory and Higher-Order NeighborsThe Friedkin-Johnsen (FJ) model has been extensively explored and validated, spanning applications in social science, systems and control, game theory, and algorithmic research. In this paper, we introduce an advanced generalization of the FJ model, termed FJ-MM which incorporates both memory effects and multi-hop (higher-order neighbor) influence. This formulation allows agents to naturally incorporate both current and previous opinions at each iteration stage. Our numerical results demonstrate that incorporating memory and multi-hop influence significantly reshapes the opinion landscape; for example, the final opinion profile can exhibit reduced polarization. We analyze the stability and equilibrium properties of the FJ-MM model, showing that these properties can be reduced to those of a comparison model--namely, the standard FJ model with a modified influence matrix. This reduction enables us to leverage established stability results from FJ dynamics. Additionally, we examine the convergence rate of the FJ-MM model and demonstrate that, as can be expected, the time lags introduced by memory and higher-order neighbor influences result in slower convergence.
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amen zwa, esq.

Here is a partial list of things in #CS and #IT that truly vex me:

• The use of the nonsensical mm/dd/yy date format and the equally nonsensical 12-hour time format in programming, especially when the leading zero is dropped, instead of the ISO UTC date-time format
• The incomplete, inconsistent implementations of time zones, the 19th Century anachronism
• Continued reliance on the OSs that trace their design roots back to the early 1960s
• The web browser’s futile, even if valiant, attempts to replicate the functionalities of the OS in the name of greater security and easier deployment, instead of supporting modern, standardised security and delivery mechanisms directly in the OS, thereby eliminating unnecessary complexities and inefficiencies
• The mushrooming of web GUI frameworks that are touted as "new" but in truth are mere rehashes of the "old" one that came out three months ago, instead of establishing a standardised look-and-feel that promotes familiarity, usability, portability, and maintainability
• The coders who, with no training in psychology, have the temerity to design nonsensical UIs purely for fancy effects, instead of aiming for consistency, predictability, and conformity
• The practice of shoehorning modern programming concepts and facilities into old languages that were designed when the hardware occupied an entire floor and the software occupied a small deck of punched cards, instead of letting those old languages retire with dignity befitting their history

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Karl Heinz Häsliprinz

So my very young god child wants to build robots. After some basic electric circuits and an intro to logic, we will do a bit of #bash scripting. For starters, making the robot say looped a nursery rhyme.

for (( c=1; c<=5; c++ )); do echo "es isch amol en Maa gsii, de het mal ehn hole Zah kaa, in dem Loch im Zah hets en Brief kaa uf dem isch gstande"; done

What other bash lines should we play with? #linux #cs #teaching

Public
⚯ Michel de Cryptadamus ⚯

#Princeton's biggest crypto boosting computer scientist Jaswinder Pal Singh has somehow ended up in the middle of an alleged corporate fraud involving (yet another) member of the Forbes 30 under 30.

I don’t know any details about this but the fact that JP Singh has been using Princeton's name to provide legitimacy to cryptocurrency for years and has now somehow landed in the middle of what looks like an egregious and massive corporate fraud going on at CaaStle is… interesting.

axios.com/2025/04/07/caastle-l

screenshot of article
#JaswinderPalSingh#Forbes30Under30#Caastle
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