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#cs

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Rxiv mechanobio

📰 "Empirical Hyper Element Integration Method (EHEIM) with Unified Integration Criteria for Efficient Hyper Reduced FE$^2$ Simulations"
arxiv.org/abs/2503.19483 #Physics.Comp-Ph #Mechanical #Math.Na #Cs.Na #Ecm

arXiv.orgEmpirical Hyper Element Integration Method (EHEIM) with Unified Integration Criteria for Efficient Hyper Reduced FE$^2$ SimulationsNumerical homogenization for mechanical multiscale modeling by means of the finite element method (FEM) is an elegant way of obtaining structure-property relations, if the behavior of the constituents of the lower scale is well understood. However, the computational costs of this so-called FE$^2$ method are so high that reduction methods are essential. While the construction of a reduced basis for the microscopic nodal displacements using proper orthogonal decomposition (POD) has become a standard technique, the reduction of the computational effort for the projected nodal forces, the so-called hyper reduction, is an additional challenge, for which different strategies have been proposed in the literature. The empirical cubature method (ECM), which has been proven to be very robust, implemented the conservation of the total volume is used as a constraint in the resulting optimization problem, while energy-based criteria have been proposed in other contributions. The present contribution presents a unified integration criteria concept, involving the aforementioned criteria, among others. These criteria are used both with a Gauss point-based as well as with an element-based hyper reduction scheme, the latter retaining full compatibility with the common modular finite element framework. The methods are combined with a previously proposed clustered training strategy and a monolithic solver. Numerical examples empirically demonstrate that the additional criteria improve the accuracy for a given number of modes. Vice verse, less modes and thus lower computational costs are required to reach a given level of accuracy.
Public
Rxiv mechanobio

📰 "Engineering morphogenesis of cell clusters with differentiable programming"
arxiv.org/abs/2407.06295 #Morphogenesis #Mechanical #Q-Bio.Cb #Cs.Lg #Cell

arXiv.orgEngineering morphogenesis of cell clusters with differentiable programmingUnderstanding the rules underlying organismal development is a major unsolved problem in biology. Each cell in a developing organism responds to signals in its local environment by dividing, excreting, consuming, or reorganizing, yet how these individual actions coordinate over a macroscopic number of cells to grow complex structures with exquisite functionality is unknown. Here we use recent advances in automatic differentiation to discover local interaction rules and genetic networks that yield emergent, systems-level characteristics in a model of development. We consider a growing tissue with cellular interactions mediated by morphogen diffusion, cell adhesion and mechanical stress. Each cell has an internal genetic network that is used to make decisions based on the cell's local environment. We show that one can learn the parameters governing cell interactions in the form of interpretable genetic networks for complex developmental scenarios, including directed axial elongation, cell type homeostasis via chemical signaling and homogenization of growth via mechanical stress. When combined with recent experimental advances measuring spatio-temporal dynamics and gene expression of cells in a growing tissue, the methodology outlined here offers a promising path to unraveling the cellular bases of development.
Public
Rxiv mechanobio

📰 "Hierarchical poromechanical approach to investigate the impact of mechanical loading on human skin micro-circulation"
arxiv.org/abs/2502.17354 #Physics.App-Ph #Mechanical #Q-Bio.To #Cs.Ce #Cell

arXiv.orgHierarchical poromechanical approach to investigate the impact of mechanical loading on human skin micro-circulationResearch on human skin anatomy reveals its complex multi-scale, multi-phase nature, with up to 70% of its composition being bounded and free water. Fluid movement plays a key role in the skin's mechanical and biological responses, influencing its time-dependent behavior and nutrient transport. Poroelastic modeling is a promising approach for studying skin dynamics across scales by integrating multi-physics processes. This paper introduces a hierarchical two-compartment model capturing fluid distribution in the interstitium and micro-circulation. A theoretical framework is developed with a biphasic interstitium -- distinguishing interstitial fluid and non-structural cells -- and analyzed through a one-dimensional consolidation test of a column. This biphasic approach allows separate modeling of cell and fluid motion, considering their differing characteristic times. An appendix discusses extending the model to include biological exchanges like oxygen transport. Preliminary results indicate that cell viscosity introduces a second characteristic time, and at high viscosity and short time scales, cells behave similarly to solids. A simplified model was used to replicate an experimental campaign on short time scales. Local pressure (up to 31 kPa) was applied to dorsal finger skin using a laser Doppler probe PF801 (Perimed Sweden), following a setup described in Fromy Brain Res (1998). The model qualitatively captured ischemia and post-occlusive reactive hyperemia, aligning with experimental data. All numerical simulations used the open-source software FEniCSx v0.9.0. To ensure transparency and reproducibility, anonymized experimental data and finite element codes are publicly available on GitHub.
Public
Rxiv mechanobio

📰 "MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems"
arxiv.org/abs/2309.08421 #Mechanical #Q-Bio.Qm #Eess.Iv #Cs.Cv #Cs.Lg #Cell

arXiv.orgMIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic SystemsLabel-free cell classification is advantageous for supplying pristine cells for further use or examination, yet existing techniques frequently fall short in terms of specificity and speed. In this study, we address these limitations through the development of a novel machine learning framework, Multiplex Image Machine Learning (MIML). This architecture uniquely combines label-free cell images with biomechanical property data, harnessing the vast, often underutilized morphological information intrinsic to each cell. By integrating both types of data, our model offers a more holistic understanding of the cellular properties, utilizing morphological information typically discarded in traditional machine learning models. This approach has led to a remarkable 98.3\% accuracy in cell classification, a substantial improvement over models that only consider a single data type. MIML has been proven effective in classifying white blood cells and tumor cells, with potential for broader application due to its inherent flexibility and transfer learning capability. It's particularly effective for cells with similar morphology but distinct biomechanical properties. This innovative approach has significant implications across various fields, from advancing disease diagnostics to understanding cellular behavior.
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Dominik :prami:

I've moved over from mastodon.design, so it's time for another #introduction toot!

Hi 👋

I'm Dominik, a young coder from Switzerland.

I work as a web dev (mainly with #webflow) and study #cs (in #bern) by ​day, while working with #laravel and on my #personalwebsite by night.

Some things I'm into:
#running
#photography
#blogging
#indieweb
#minimalism

My main home on the internet is dominikhofer.me – you're invited to pay me a visit over there :)

Cheers!

dominikhofer.meCurious. Creative. Coder. | Dominik HoferHi and welcome to my personal lil corner of the internet. I hope you enjoy your stay!
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nullagent

Hearing about a young hacker whose being extorted by the University of Washington, not cool UW.

The student claims they built an app to help kids get the course schedules they want, a hack as old as time, and the university decided to expel him until he ports his app to the university's internal systems.

This would be unpaid labor.

Until then his class registration is on hold and he can't register or attend his last few classes. 🥴

linkedin.com/posts/jdkaim_gith

Welp, looks I might be getting expelled from the University of Washington. As many of you know, last quarter I built an initial version of HuskySwap for a class project. It was a simple app designed to help students find partners to trade spots in critical classes after they filled up. I’m sure other people have pursued this kind of thing before, but there’s no go-to solution at UW and I wanted to contribute something cool for everyone. At first it was a fun project to catch up to the latest versions of .NET and Angular with some practice implementing features around database abstraction, real-time chat, and the full stack challenges associated with things like role-based permissions. I was probably going to build it anyway, so it was great that I could actually get course credit for CSE 403. I was really proud of the MVP and excited that the people I demoed it for actually wanted to use it. So I set aside some time in my winter quarter schedule to start hardening it so I could launch ahead of spring quarter registration. Then I came across the swagger docs for integrating with the registration system. The site says: “The Student Web Service gives your application access to information in the Student database such as course data, registration data, section data, person data, and term data (general academic data).”
I reached out to request an access token. I wasn’t too ambitious up front; all I wanted was read-only access to automate the course catalog import instead of having to manually enter every class. But if things went well it would be awesome to automate the process further or even find other gaps I could fill to improve the community experience. Several hours later I received an unambiguous response: a “Notice of Violation of Registration Tampering Abuse Policy”. I was instructed to take down my demo site (and its handful of fake demo classes) or else they would begin the process that would culminate with my expulsion. I had originally reached out hoping to make the school experience better for everyone and they immediately went nuclear. I’m not too worried about the threat since taking down the demo site is no big deal. But I’m a little heartbroken to see how the school views me. I thought they’d be excited about what I was pursuing—or at least that I was pursuing anything—but they’d rather have me simply leave. I’m scheduled to graduate in a few months and am eager to move on to projects that don’t need to be cleared with the UW Registrar. If you know of anyone looking for a full-time software engineer with a knack for getting the attention of senior leadership, please send them my way! I can start full-time in June.
#UW#Seattle#HuskySwap
Public
Paul Houle

🧶 OriStitch: A Machine Embroidery Workflow to Turn Existing Fabrics into Self-Folding 3D Textiles

arxiv.org/abs/2412.02891

arXiv.orgOriStitch: A Machine Embroidery Workflow to Turn Existing Fabrics into Self-Folding 3D TextilesOriStitch is a computational fabrication workflow to turn existing flat fabrics into self-folding 3D structures. Users turn fabrics into self-folding sheets by machine embroidering functional threads in specific patterns on fabrics, and then apply heat to deform the structure into a target 3D structure. OriStitch is compatible with a range of existing materials (e.g., leather, woven fabric, and denim). We present the design of specific embroidered hinges that fully close under exposure to heat. We discuss the stitch pattern design, thread and fabric selection, and heating conditions. To allow users to create 3D textiles using our hinges, we create a tool to convert 3D meshes to 2D stitch patterns automatically, as well as an end-to-end fabrication and actuation workflow. To validate this workflow, we designed and fabricated a cap (303 hinges), a handbag (338 hinges), and a cover for an organically shaped vase (140 hinges). In technical evaluation, we found that our tool successfully converted 23/28 models (textures and volumetric objects) found in related papers. We also demonstrate the folding performance across different materials (suede leather, cork, Neoprene, and felt).
#textiles#fabric#cs
Public
Peter Drake

Is anyone else attending SIGCSE Virtual later this week?

sigcsevirtual.acm.org/

#SIGCSE #conference #SIGCSEVirtual #ComputerScience
#cs #education #teaching #CsEd #ACM

sigcsevirtual.acm.orgSIGCSE Virtual 2024Welcome to SIGCSE Virtual 2024! The ACM Virtual Global Computing Education Conference (SIGCSE VIRTUAL) is organized by the ACM Special Interest Group on Computer Science Education (SIGCSE) and is the newest SIGCSE conference. Similar to the other SIGCSE conference, it addresses problems common among educators working to develop, implement and/or evaluate computing programs, curricula, and courses. SIGCSE Virtual is a bi-annual online-only conference taking up the opportunities offered by the virtual space. It would be held in the September to December timeframe on the years CompEd is not ...
Public
Catherine Morris

“The Organisation for the Prohibition of Chemical Weapons (#OPCW) confirmed…that a riot control agent known as #CS has been used in #Ukraine, as evidence mounts that #Russia has scaled up its attacks using #ChemicalWeapons... Russia has intensified its use of chemical agents… While often used to disperse riots & considered nonlethal…tear gas…is "considered chemical weapons if used as a method of warfare." | Kyiv Independent kyivindependent.com/un-watchdo #ChemicalWeaponsConvention

The Kyiv Independent · UN watchdog confirms riot control agent used on Ukraine battlefieldBy Asami Terajima
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Michael Engel

We immediately need to provide alternatives in Europe or Asia for CS conferences that usually take place in the USA now to provide safe places for LGBTQIA+ people, PoC, women, minority groups, etc.

My background is in systems, please feel free to add conferences from your fields!

Let's start a list:
#EuroSys 2025 in Rotterdam, The Netherlands (March 30-April 3)
2025.eurosys.org

I'm also looking for an alternative location to spend my sabbatical next winter...

2025.eurosys.orgEuroSys 2025
#ACM#IEEE#CS
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Eric McCorkle

Maybe I should just start gratuitously throwing "AI" into every technical proposal.

Distributed consensus: an AI that allows a collection of distributed agents to reach a consistent decision.

Homomorphic encryption: an AI that performs meaningful mathematical operations on encrypted data.

Compiler: an AI that translates a high-level programming language into an executable program.

#CS#CompSci
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myrmepropagandist

If I give you a big ol’ integer and say “I think this might be a combination of nCr something… but I don’t remember n or r— or maybe it’s just some integer.

How do you efficiently test to see if it’s a possible result from that formula?

I mean I could make a list up to the needed digits and search, but that isn’t very elegant. Other ideas?

1. 42503 (easy)
2. 7413705167549733 (harder)
#math #cs #annoying #

Replied in thread
Public
petersuber

Update. "Our results suggest that between 6.5% and 16.9% of text submitted as peer reviews to these [#CS] conferences could have been substantially modified by #LLMs, i.e. beyond spell-checking or minor writing updates."
arxiv.org/abs/2403.07183

arXiv.orgMonitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer ReviewsWe present an approach for estimating the fraction of text in a large corpus which is likely to be substantially modified or produced by a large language model (LLM). Our maximum likelihood model leverages expert-written and AI-generated reference texts to accurately and efficiently examine real-world LLM-use at the corpus level. We apply this approach to a case study of scientific peer review in AI conferences that took place after the release of ChatGPT: ICLR 2024, NeurIPS 2023, CoRL 2023 and EMNLP 2023. Our results suggest that between 6.5% and 16.9% of text submitted as peer reviews to these conferences could have been substantially modified by LLMs, i.e. beyond spell-checking or minor writing updates. The circumstances in which generated text occurs offer insight into user behavior: the estimated fraction of LLM-generated text is higher in reviews which report lower confidence, were submitted close to the deadline, and from reviewers who are less likely to respond to author rebuttals. We also observe corpus-level trends in generated text which may be too subtle to detect at the individual level, and discuss the implications of such trends on peer review. We call for future interdisciplinary work to examine how LLM use is changing our information and knowledge practices.
#AI#PeerReview
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John Foley

Hello! I just migrated here from another instance, so I suppose it’s time for an #introduction

Play: #LED, bedroom music producer, burgeoning white hat, radio programmer, and lover of learning—currently as much #CS #infosec and #physics as possible. Away from screens, I enjoy reading, cycling, golf, bouldering, snowboarding, cooking, and building things.

Work: I’m a #DigitalMarketing Manager at a marketing agency in the #Boston area.

Looking forward to sharing and learning here!

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Vance Ricks

Hi, all,

My #introduction: I'm a prof at #NortheasternUniversity, with a joint appointment in #philosophy and #CS

I'm part of a multi-disciplinary team (cssh.northeastern.edu/ethics/a) focused on researching and teaching the #ethics of #EmergingTech, especially #SocialRobots, #DataEthics, and the highly misleadingly named #AIEthics, to humanists, STEM students, and external groups.

I'm also a #bicycling enthusiast and participant in groups dedicated to bicycle advocacy and #CompleteStreets.

The Ethics InstituteAI & Data Ethics
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Laura Sophia

Time to reintroduce myself: #introduction

Hi 👋, I’m Laura.

By day I am a PhD student in computer science specializing in low-power communication for the Internet of Things (IoT). #cs #IoT #PhD #PhDstudent #science

Other than my work, I am a non-binary trans person constantly trying to more and more figure out who they are. I’m active in the local queer students group and like to read (or rather listen to) queer books. #trans #transbubble #enby #queer

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