Tootfinder

This seems most auspicious: https://www.theguardian.com/commentisfree/2025/nov/12/yes-new-york-will-soon-be-under-new-management-but-zohran-mamdani-is-just-the-start anti-trust specialist Khan on M…

Released v0.23.0 of the ha-mqtt-discoverable and ha-mqtt-discoverable-cli modules.
Details at #homeassistant

Flow Engineering, which provides a collaborative hardware development platform for companies like Rivian, raised a $23M Series A led by Sequoia (Allie Garfinkle/Fortune)
https://fortune.com/2025/10/14/exclusive-f…

Exclusive: Flow Engineering raises $23 million Series A led by Sequoia to power hardware’s new era
Flow Engineering has raised a $23 million Series A, led by Sequoia and including the Collisons, Fortune has exclusively learned.

Your Honor, my client wants you to keep it down, they're trying to sleep.

Have you fucking tried asking people if they're in pain and not using a black-box biased phrenology algorithm that will only give white males the necessary meds

heise | iOS und iPadOS 26 in Action: 23 Tipps für die neuen Apple-Systeme
Apples 26er-Systeme sind da. Wir zeigen, wie sie mit Liquid Glass, flexiblem Sperrbildschirm, neuen Systemfunktionen und Widgets in CarPlay umgehen – und mehr.

Ukrainian drones erase Russian forces: explosions at refineries and front spark Kremlin panic: https://benborges.xyz/2025/10/14/ukrainian-drones-erase-russian-forces.html

It's the latest in a series of moves by Trump acolytes at the Department of Justice
who are transforming the voting section of the agency from an office focused on protecting Americans’ voting rights
to one that is in lockstep with an election denial movement
that incessantly demands investigations and drastic reductions in access to the polls
based on Donald Trump’s lies about elections.

Just read this long post on "the current state of Cara" https://cara.app/post/2e0d29d3-a57a-4b70-b0d0-9cefc15176ca
🤔 "Not having an algorithmically recommended feed is the biggest reason why people dropped off from Cara after we went viral. In a chronolog…

Jingna Zhang (@zemotion) | Cara - Artist Social & Portfolio Platform
About the current state of Cara— Hi all, I’d like to address some users' concerns about Cara’s stability, algorithms and reach, and why we don’t actively promote Cara and recruit new users. I have touched on most of these before through other posts, but I’ll like to go over the main points and put them in one place since they often come up as recurring questions: — Cara’s longevity/stability > "A few weeks ago, after learning how much Jingna was struggling with her personal l…

Ich habe mir mal ein #wrapstodon2025 von https://mastodon-wrapped.playground.54gradsoftware.de/ basteln lassen.

Zeitspanne von Genehmigung bis Inbetriebnahme einer #Windkraftanlage.
Die Box (hellblau) zeigt, wo die mittleren 50 % der Anlagen von der Dauer her liegen. Der Strich in der Box ist die typische Dauer. Die Hälfte der Errichtungen war schneller, die andere langsamer. Die dünnen Linien („Antennen“) nach oben und unten zeigen, wie weit die meisten übrigen Projekte noch streuen. Die ei…

China duikt in gat dat VS achterlaat op COP30, en lijkt zich tot nieuwe klimaatleider te ontpoppen | VRT NWS: nieuws
https://www.vrt.be/vrtnws/nl/2025/11/15/china-neemt-plaats-in-van-vs-op-klimaattop/
Lang geleden leerde ik al (in de logistiek) dat als je voordat je een grote concurrent gaat uitlachen of gaat schelden eerst moet beseffen wat ie doet.
Het Westen heeft volledig over het hoofd gezien waarom China kolencentrales verving. Die goedkope -zuiniger- centrales leverden letterlijk de energie om op heel grote schaal te kunnen verduurzamen.

🤔
Yes. Yeeeess...
(I have no money left, even something this simple can't happen until the new year. The food-delivery charge nearly bounced. I will not have a mattress to put in this bed until way after pay-day)

Trump's Pedophile Friends - "How can one man "accidentally" surround himself with so many child rapists?"
https://unprecedented.ghost.io/archive/trumps-pedophile-friends/?ref=unprecedented-newsletter

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Chronicles of Jockeying in Queuing Systems
Anthony Kiggundu, Bin Han, Dennis Krummacker, Hans D. Schotten

Holidays at Fork’s Drum Closet. I like the tree on the right.

Replaced article(s) found for cs.DM. https://arxiv.org/list/cs.DM/new
[1/1]:
- Menger's Theorem for Temporal Paths (Not Walks)
Allen Ibiapina, Raul Lopes, Andrea Marino, Ana Silva

Spin and Obliquity Distributions of Low-mass Planets Shaped by Dynamical Instability
Dieran Wang (TDLI), Jiaru Li (CIERA), Dong Lai (TDLI, Cornell)
https://arxiv.org/abs/2510.11785

Spin and Obliquity Distributions of Low-mass Planets Shaped by Dynamical Instability
Exoplanetary systems hosting multiple low-mass planets are thought to have experienced dynamical instability, during which planet-planet collisions and mergers occur; these collisions can impart substantial amount of angular momentum to the merger remnants, changing the obliquities of the resulting planets significantly. In this work, we carry out a series of $N$-body experiments to investigate the spin magnitude $(|\vec{S}|)$ and obliquity $(θ_{\rm SL})$ distributions of low-mass ex…

LineageOS 23 auf Basis von Android 16 ist fertig
Das Custom-ROM LineageOS 23 auf Basis von Android 16 für über 100 Geräte ist fertig. Die Entwickler gehen im Zuge der Ankündigung mit Google ins Gericht.
https://www.…

"Surveillance Pricing" & "Smart Rounding" INCREASES grocery prices on Instacart & others, by experimenting on shoppers.
▶️ We Had 400 People Shop For Groceries. What We Found Will Shock You
https://youtube.com/watch?v=osxr7xSxsGo&si=ERnOMz…

The Sunday Times' 25 Best Albums of 2025
#Music

Alexa, Google Home, Nest Cam, Ring, Fitbit, Samsung appliances... People are buying spy gadgets every day, accepting them and welcoming them into their homes with a smile, unaware that they are playing supporting roles in an episode of Black Mirror. But now it is not fiction.
#privacy

😩 Fixing Britain’s worklessness crisis will cost employers £6bn a year, report says
https://www.theguardian.com/business/2025/nov/05/fixing-britains-worklessness-crisis-will-cost-employers-6bn-a-year-report-says<…

Fixing Britain’s worklessness crisis will cost employers £6bn a year, report says
The Keep Britain Working review, created to tackle the rising tide of ill health pushing millions out of work, reported its findings ahead of this month’s budget

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Evergreen Club Contemporary Gamelan:
🎵 Gamelan Solo (II) delicate
#EvergreenClubContemporaryGamelan

AI companies are the tobacco companies of the 21st century:
- fabulously lucrative
- incredibly toxic
- requires constant spin
- and celebrity endorsement

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Andrew Bird:
🎵 Capital I
#AndrewBird
https://andrewbird.bandcamp.com/track/capital-i
https://open.spotify.com/track/05aeDb92Kyyy6ANkRzoQJf

He said "wait" and they turned into furry statues
https://www.youtube.com/shorts/NrfbR7y69wc

weird how since the epstein files leaked, the accusation of trans people being pedophiles is no longer so central to fascists. almost as if they're laying the ground work to justify pedophilia now

Genghis Convict
bot by @…
This is satire, not sedition: put the zip ties down.
#satire #potus45

Neural networks for learning macroscopic chemotactic sensitivity from microscopic models
Radek Erban
https://arxiv.org/abs/2509.12131 https://arxiv.org/pdf…

Neural networks for learning macroscopic chemotactic sensitivity from microscopic models
The macroscopic (population-level) dynamics of chemotactic cell movement -- arising from underlying microscopic (individual-based) models -- are often described by parabolic partial differential equations (PDEs) governing the spatio-temporal evolution of cell concentrations. In certain cases, these macroscopic PDEs can be analytically derived from microscopic models, thereby elucidating the dependence of PDE coefficients on the parameters of the underlying individual-based dynamics. However, su…

RJD-BASE: Multi-Modal Spectral Clustering via Randomized Joint Diagonalization
Haoze He, Artemis Pados, Daniel Kressner
https://arxiv.org/abs/2509.11981 https://

RJD-BASE: Multi-Modal Spectral Clustering via Randomized Joint Diagonalization
We revisit the problem of spectral clustering in multimodal settings, where each data modality is encoded as a graph Laplacian. While classical approaches--including joint diagonalization, spectral co-regularization, and multiview clustering--attempt to align embeddings across modalities, they often rely on costly iterative refinement and may fail to directly target the spectral subspace relevant for clustering. In this work, we introduce two key innovations. First, we bring the power of random…

Période : en semaine Š partir de 20h30.
Dates : du lundi 15 au mardi 30 septembre.
Le trafic est interrompu entre La Défense et La Verrière. Dernier train de La Défense pour La Verrière: VERI de 21h15.
Dernier train de La Verrière pour La Défense: DEFI de 20h20.
Un service de bus de remplacement est mis en place, avec desserte des gares intermédiaires.
Les horaires du calculateur d'itinéraire tiennent compte des travaux.
Motif : travaux sur le réseau f…

imagine being a billionaire and getting off on tweeting stuff like this about other programmers to impress your incel basement dweller sycophants
I wonder if Shopify’s stock holders know that the CEO is lurking in alt-right X threads to occasionally insult people

Shares of Broadcom, CoreWeave, and Oracle, companies tied to the AI infrastructure buildout, extend last week's decline; ORCL is down 46% since September 10 (Ari Levy/CNBC)
https://www.cnbc.com/2025/12/15/ai-infrastructure-…

AI infrastructure selloff continues on Wall Street as Broadcom, Oracle shares slide
In at least one corner of the AI market, sentiment has turned decidedly negative.

‼️ Puuuuh, da haben wir aber Glück gehabt. Die #Eisbären passen sich an den #Klimawandel an.
„Springende Gene“ in ihrer #DNA reagieren auf

Verblüffende Studie: Liegt die Rettung der Eisbären in ihrer eigenen DNA?
Ein Eisbär steht im Nordpolarmeer auf eine Eisscholle - um ihm herum viel geschmolzenes Eis. Eine Studie zeigt nun aber: Die Säugetiere können sich aufgrund einer Änderung ihrer DNA gut

This block of wood, of which there are four at the corners of the bed now I've painted them, is very evocative isn't it?
I could glue a thimble atop that and some window-stickers on the side I bet... 🤔
Sheets of 1cmx1cm mirror tiles appear to be available easily. The more ideal 1cmx2xm less common.
Maybe best as a custom sticker?
Needs windows and a banner and maybe a siren light anyway when its done.

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Over-Threshold Multiparty Private Set Intersection for Collaborative Network Intrusion Detection
Onur Eren Arpaci, Raouf Boutaba, Florian Kerschbaum

Justice Amy Coney Barrett admits Trump could be beyond the Supreme Court's control - Raw Story
https://www.rawstory.com/coney-barrett-trump-2674205423/

Digital asset treasuries increasingly rely on in-kind contributions, with sponsors using their own crypto instead of cash, shifting risk to retail investors (Suvashree Ghosh/Bloomberg)
https://www.bloomberg.com/news/articles/20

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Angel Olsen:
🎵 Shut Up Kiss Me
#AngelOlsen
https://ryanhorns.bandcamp.com/track/cover-of-angel-olsens-shut-up-kiss-me
https://open.spotify.com/track/3EEr6l5PYelwkrvvKX7N0X

If your boyfriend is a liberal, you're single to me. What's he gonna do? Vote me out of your DMs? 🚩

Introduction to a Low-Cost AI-Powered GUI for Unstained Cell Culture Analysis
Surajit Das, Pavel Zun
https://arxiv.org/abs/2509.11354 https://arxiv.org/pdf…

Introduction to a Low-Cost AI-Powered GUI for Unstained Cell Culture Analysis
This article presents a novel microscopy image analysis framework designed for low-budget labs equipped with a standard CPU desktop. The Python-based program enables cytometric analysis of live, unstained cells in culture through an advanced computer vision and machine learning pipeline. Crucially, the framework operates on label-free data, requiring no manually annotated training data or training phase. It is accessible via a user-friendly, cross-platform GUI that requires no programming skill…

A Chebyshev--Ritz Spectral Framework for Nonlinear Vibration of CNT-Reinforced Composite Beams
Maryam Jalili, Samad Noeiaghdam
https://arxiv.org/abs/2509.11946 https://

A Chebyshev--Ritz Spectral Framework for Nonlinear Vibration of CNT-Reinforced Composite Beams
This study develops a spectral Ritz formulation for the nonlinear free vibration analysis of carbon nanotube-reinforced composite (CNTRC) beams. Boundary-adapted Chebyshev basis functions are constructed to exactly satisfy clamped and simply supported boundary conditions. The governing equations incorporate von~Kármán geometric nonlinearity, while the effective material properties for both uniform and functionally graded (FG) CNT distributions are evaluated using a modified rule of mixtures. …

🛌 Wissen fürs Kopfkissen: 📖
Könnt Ihr Euch noch erinnern?
Wie verlief der Anfang der #Coronapandemie eigentlich genau – von den ersten Meldungen bis zur #Impfstoffzulassung?
Inmitten von Informationsflut und kollektiver Erschöpfung gingen viele Details verloren. D…

Die Chronologie der Coronapandemie: Vom ersten Fall bis zur Impfstoffzulassung
Von den ersten Fällen in Wuhan bis zur weltweiten Impfstoffentwicklung: Die Chronologie der Coronapandemie aus Sicht von Deutschland im Überblick.

I like the smile formed by the bed's legs where it's connections will go.

AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network
Muhammad Mateen Yaqoob, Kulsoom Fatima, Shahab Shamshirband, Amir Mosavi, Waqar Khurshid
https://arxiv.org/abs/2510.12698

AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network
This paper presents a protocol for enhancement of life time of WBAN network as well other protocol related issues such as throughput, path loss, and residual energy. Bio-sensors are used for deployment on human body. Poisson distribution and equilibrium model techniques have been used for attaining the required results. Multi-hop network topology and random network node deployment used to achieve minimum energy consumption and longer network lifetime.

Elon Musk says Grok 5 would be released "in Q1 sometime", later than a deadline he previously set of releasing the model by the end of 2025 (Theo Wayt/The Information)
https://www.theinformation.com/briefings/elon-musks-xai-delays-grok-5-rele…

Elon Musk’s xAI Delays Grok 5 Release to Next Year
XAI plans to release its next-generation Grok 5 artificial intelligence model in the first three months of next year, CEO Elon Musk said on Friday. That’s later than a deadline Musk had previously set of releasing the model by the end of 2025. In an interview with the investor Ron Baron, who has backed several Musk companies including xAI, Musk said that Grok 5 would be released “in Q1

Russia Indoctrinates Children From Occupied Ukraine at 210 Sites, Study Says - The New York Times
https://www.nytimes.com/2025/09/16/world/europe/russia-re-education-camps-ukrainian-children.html

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Tunde Adebimpe:
🎵 God Knows
#TundeAdebimpe
https://tundeadebimpe.bandcamp.com/track/god-knows
https://open.spotify.com/track/1g9o6MNw8DQEFGmKQwbyYa

An Alignment-Free Explanation for Collective Predator Evasion in Moving Animal Groups
Daniel Str\"ombom, Catherine Futterman
https://arxiv.org/abs/2509.11083 https://

An Alignment-Free Explanation for Collective Predator Evasion in Moving Animal Groups
Moving animal groups consist of many distinct individuals but can operate and function as one unit when performing different tasks. Effectively evading unexpected predator attacks is one primary task for many moving groups. The current explanation for predator evasion responses in moving animal groups require the individuals in the groups interact via (velocity) alignment. However, experiments have shown that some animals do not use alignment. This suggests that another explanation for the pred…

Numerical Approximation of the logarithmic Laplacian via sinc-basis
Patrick Dondl, Ludwig Striet
https://arxiv.org/abs/2509.11693 https://arxiv.org/pdf/250…

Numerical Approximation of the logarithmic Laplacian via sinc-basis
In recent works, the authors of this chapter have shown with co-authors how a basis consisting of dilated and shifted $\text{sinc}$-functions can be used to solve fractional partial differential equations. As a model problem, the fractional Dirichlet problem with homogeneous exterior value conditions was solved. In this work, we briefly recap the algorithms developed there and that -- from a computational point of view -- they can be used to solve nonlocal equations given through different oper…

Windkraft-Intensitätsindex je Bundesland relativ zum geometrischen Mittel aus Fläche & Einwohnerzahl, Stand 13.11.2025.
Nur in Betrieb befindliche Anlagen berücksichtigt. „Ausschließliche Wirtschaftszone“ (Offshore) ausgenommen.
👉 Erläuterung für Nerds 😊:

A Network Digital Twin of a 5G Private Network: Designing a Proof-of-Concept from Theory to Practice
Cristina Emilia Costa, Tatenda Horiro Zhou, Fabrizio Granelli
https://arxiv.org/abs/2510.12458

A Network Digital Twin of a 5G Private Network: Designing a Proof-of-Concept from Theory to Practice
Network Digital Twins represent a key technology in future networks, expected to provide the capability to perform accurate analysis and predictions about the behaviour of 6G mobile networks. However, despite the availability of several theoretical works on the subject, still very few examples of actual implementations of Network Digital Twin are available. This paper provides a detailed description about the characteristics of Network Digital Twin and provides a practical example about real de…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Twin Shadow:
🎵 Bad Times
#TwinShadow
https://twinshadow.bandcamp.com/track/bad-times
https://open.spotify.com/track/5zDHyKXPBHQxlJidRKYHYB

Drei #Astronauten der aktuellen Shenzhou-21-Mission befinden sich derzeit ohne intaktes Rückkehrfahrzeug auf der chinesischen #Raumstation #Tiangong.
Ihr vorgesehenes

Three astronauts are stuck on China’s space station without a safe ride home
“This does not meet the release conditions for a safe manned return.”…

GeoPipe: a Geo-distributed LLM Training Framework with enhanced Pipeline Parallelism in a Lossless RDMA-enabled Datacenter Optical Transport Network
Jun Dai, Xiaorun Wang, Kexiong Fang, Zheng Yang, Yuefeng Ji, Jiawei Zhang
https://arxiv.org/abs/2510.12064

GeoPipe: a Geo-distributed LLM Training Framework with enhanced Pipeline Parallelism in a Lossless RDMA-enabled Datacenter Optical Transport Network
The proliferation of Large Language Models (LLMs) with exponentially growing parameters is making cross-data center (DC) training an inevitable trend. However, viable strategies for extending single-DC training frameworks to multi-DC environments remain underdeveloped. We experimentally demonstrate, for the first time, a high-performance geo-distributed LLMs training framework across multiple DCs interconnected by a lossless, remote direct memory access (RDMA) enabled Datacenter Optical Transpo…

Quantifying topological features and irregularities in zebrafish patterns using the sweeping-plane filtration
Nour Khoudari, John Nardini, Alexandria Volkening
https://arxiv.org/abs/2509.11023

Quantifying topological features and irregularities in zebrafish patterns using the sweeping-plane filtration
Complex patterns emerge across a wide range of biological systems. While such patterns often exhibit remarkable robustness, variation and irregularity exist at multiple scales and can carry important information about the underlying agent interactions driving collective dynamics. Many methods for quantifying biological patterns focus on large-scale, characteristic features (such as stripe width or spot number), but questions remain on how to characterize messy patterns. In the case of cellular …

Linear and Nonlinear Boundary Conditions: What's the difference?
Jan Nordstr\"om
https://arxiv.org/abs/2509.11651 https://arxiv.org/pdf/2509.11651…

Linear and Nonlinear Boundary Conditions: What's the difference?
In previous work, we derived new energy and entropy stable open boundary conditions and implementation procedures for linear and nonlinear initial boundary value problems. These boundary procedures results in estimates bounded by external data only. Interestingly, these new boundary conditions generalize the well known classical characteristic boundary conditions for linear problems to the nonlinear setting. We discuss the similarities and differences between these two boundary procedures and p…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Snocaps:
🎵 Avalanche
#Snocaps
https://snocaps.bandcamp.com/track/avalanche
https://open.spotify.com/track/335RcpYVaav2FMjDaieiZe

Stable and Fault-Tolerant Decentralized Traffic Engineering
Arjun Devraj, Umesh Krishnaswamy, Ying Zhang, Karuna Grewal, Justin Hsu, Eva Tardos, Rachee Singh
https://arxiv.org/abs/2510.11937

Stable and Fault-Tolerant Decentralized Traffic Engineering
Cloud providers have recently decentralized their wide-area network traffic engineering (TE) systems to contain the impact of TE controller failures. In the decentralized design, a controller fault only impacts its slice of the network, limiting the blast radius to a fraction of the network. However, we find that autonomous slice controllers can arrive at divergent traffic allocations that overload links by 30% beyond their capacity. We present Symphony, a decentralized TE system that addresses…

[2025-09-16 Tue (UTC), 4 new articles found for q-bio.QM Quantitative Methods]
toXiv_bot_toot

Improvements on uncertainty quantification with variational autoencoders
Andrea Tonini, Tan Bui-Thanh, Francesco Regazzoni, Luca Dede', Alfio Quarteroni
https://arxiv.org/abs/2509.11174

Improvements on uncertainty quantification with variational autoencoders
Inverse problems aim to determine model parameters of a mathematical problem from given observational data. Neural networks can provide an efficient tool to solve these problems. In the context of Bayesian inverse problems, Uncertainty Quantification Variational AutoEncoders (UQ-VAE), a class of neural networks, approximate the posterior distribution mean and covariance of model parameters. This allows for both the estimation of the parameters and their uncertainty in relation to the observatio…

[2025-10-15 Wed (UTC), 4 new articles found for cs.NI Networking and Internet Architecture]
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Phoenix:
🎵 Lisztomania
#Phoenix
https://exnfox.bandcamp.com/track/phoenix-lisztomania
https://open.spotify.com/track/4esUVfYnFcCCVHntx9FQCb

Replaced article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- A Reanalysis of the FDA's Benefit-Risk Assessment of Moderna's mRNA-1273 COVID Vaccine: For 18-25...
Paul S. Bourdon, Ram Duriseti, H. Christian Gromoll, Dyana K. Dalton, Kevin Bardosh, Allison E…

A time-splitting Fourier pseudospectral method for the Wigner(-Poisson)-Fokker-Planck equations
Qian Yi, Limin Xu
https://arxiv.org/abs/2509.11153 https://…

A time-splitting Fourier pseudospectral method for the Wigner(-Poisson)-Fokker-Planck equations
In this article, we propose an efficient time-splitting Fourier pseudospectral method for the Wigner(-Poisson)-Fokker-Planck equations. The method achieves second-order accuracy in time and spectral accuracy in phase space, both of which are rigorously verified by numerical experiments. The validated scheme is then employed to study the long-time dynamics of these systems. We investigate the existence of steady states for both the Wigner-Fokker-Planck and Wigner-Poisson-Fokker-Planck equations.…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Chinese American Bear:
🎵 Forever Lover (永远的爱人)
#ChineseAmericanBear
https://chineseamericanbear.bandcamp.com/track/forever-lover
https://open.spotify.com/track/1osioxQykglfD6mNLzfwB1

Crosslisted article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figur...
Kotte, Saipradeep, Walia, Nandagopal, Joseph, Sivadasan, Lali

Vectorized 3D mesh refinement and implementation of primal hybrid FEM in MATLAB
Harish Nagula Mallesham, Sharat Gaddam, Jan Valdman, Sanjib Kumar Acharya
https://arxiv.org/abs/2509.11133

Vectorized 3D mesh refinement and implementation of primal hybrid FEM in MATLAB
In this article, we introduce a Face-to-Tetrahedron connectivity in MATLAB together with a vectorized 3D uniform mesh refinement technique. We introduce a MATLAB vectorized assembly of 3D lowest-order primal hybrid finite element matrices for a second-order elliptic problem. We introduce a parallel solver and a vectorized Schur complement solver to solve the associated linear problem. The numerical results illustrate the software's runtime performance.

Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems
Gautam Singh, Sofia Haider
https://arxiv.org/abs/2509.10945 https://…

Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems
In this article, we employ Chien-Physics Informed Neural Networks (C-PINNs) to obtain solutions for singularly perturbed convection-diffusion equations, reaction-diffusion equations, and their coupled forms in both one and two-dimensional settings. While PINNs have emerged as a powerful tool for solving various types of differential equations, their application to singular perturbation problems (SPPs) presents significant challenges. These challenges arise because a small perturbation parameter…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- From private to public governance: The case for reconfiguring energy systems as a commons
Chris Giotitsas, Pedro H. J. Nardelli, Vasilis Kostakis, Arun Narayanan

Design and accuracy trade-offs in Computational Statistics
Tiancheng Xu, Alan L. Cox, Scott Rixner
https://arxiv.org/abs/2509.10934 https://arxiv.org/pdf/2…

Design and accuracy trade-offs in Computational Statistics
Statistical computations are becoming increasingly important. These computations often need to be performed in log-space because probabilities become extremely small due to repeated multiplications. While using logarithms effectively prevents numerical underflow, this paper shows that its cost is high in performance, resource utilization, and, notably, numerical accuracy. This paper then argues that using posit, a recently proposed floating-point format, is a better strategy for statistical com…

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Information Entropy-Based Scheduling for Communication-Efficient Decentralized Learning
Jaiprakash Nagar, Zheng Chen, Marios Kountouris, Photios A. Stavrou

The coupling of mixed and primal finite element methods for the coupled body-plate problem
Jun Hu, Zhen Liu, Rui Ma
https://arxiv.org/abs/2509.10827 https://

The coupling of mixed and primal finite element methods for the coupled body-plate problem
This paper considers the coupled problem of a three-dimensional elastic body and a two-dimensional plate, which are rigidly connected at their interface. The plate consists of a plane elasticity model along the longitudinal direction and a plate bending model with Kirchhoff assumptions along the transverse direction. The Hellinger-Reissner formulation is adopted for the body by introducing the stress as an auxiliary variable, while the primal formulation is employed for the plate. The well-pose…

Optimization for Massive 3D-RIS Deployment: A Generative Diffusion Model-Based Approach
Kaining Wang, Bo Yang, Zhiwen Yu, Xuelin Cao, M\'erouane Debbah, Chau Yuen
https://arxiv.org/abs/2509.11969

Optimization for Massive 3D-RIS Deployment: A Generative Diffusion Model-Based Approach
Reconfigurable Intelligent Surfaces (RISs) transform the wireless environment by modifying the amplitude, phase, and polarization of incoming waves, significantly improving coverage performance. Notably, optimizing the deployment of RISs becomes vital, but existing optimization methods face challenges such as high computational complexity, limited adaptability to changing environments, and a tendency to converge on local optima. In this paper, we propose to optimize the deployment of large-scal…

Mixed regularity and sparse grid approximations of $N$-body Schr\"odinger evolution equation
Long Meng, Dexuan Zhou
https://arxiv.org/abs/2509.10805 https://

Mixed regularity and sparse grid approximations of $N$-body Schrödinger evolution equation
In this paper, we present a mathematical analysis of time-dependent $N$-body electronic systems and establish mixed regularity for the corresponding wavefunctions. Based on this, we develop sparse grid approximations to reduce computational complexity, including a sparse grid Gaussian-type orbital (GTO) scheme. We validate the approach on the Helium atom (${\rm He}$) and Hydrogen molecule (${\rm H}_2$), showing that sparse grid GTOs offer an efficient alternative to full grid discretizations.

Towards Dynamic Urban Scene Synthesis: The Digital Twin Descriptor Service
Ioannis Tsampras, Georgios Stergiopoulos, Tanya Politi, Spyros Denazis
https://arxiv.org/abs/2509.11810

Towards Dynamic Urban Scene Synthesis: The Digital Twin Descriptor Service
Digital twins have been introduced as supporters to city operations, yet existing scene-descriptor formats and digital twin platforms often lack the integration, federation, and adaptable connectivity that urban environments demand. Modern digital twin platforms decouple data streams and representations into separate architectural planes, fusing them only at the visualization layer and limiting potential for simulation or further processing of the combined assets. At the same time, geometry-cen…

Combined perturbation bounds for eigenstructure of Hermitian matrices and singular structure of general matrices
Xiao Shan Chen, Hongguo Xu
https://arxiv.org/abs/2509.10688 http…

Combined perturbation bounds for eigenstructure of Hermitian matrices and singular structure of general matrices
Combined perturbation bounds are presented for eigenvalues and eigenspaces of Hermitian matrices or singular values and singular subspaces of general matrices. The bounds are derived based on the smooth decompositions and elementary calculus techniques.

Federated Edge Learning for Predictive Maintenance in 6G Small Cell Networks
Yusuf Emir Sezgin, Mehmet \"Ozdem, Tu\u{g}\c{c}e Bilen
https://arxiv.org/abs/2509.11421 https:/…

Federated Edge Learning for Predictive Maintenance in 6G Small Cell Networks
The rollout of 6G networks introduces unprecedented demands for autonomy, reliability, and scalability. However, the transmission of sensitive telemetry data to central servers raises concerns about privacy and bandwidth. To address this, we propose a federated edge learning framework for predictive maintenance in 6G small cell networks. The system adopts a Knowledge Defined Networking (KDN) architecture in Data, Knowledge, and Control Planes to support decentralized intelligence, telemetry-dri…

Invariant subspace perturbations related to defective eigenvalues of $\Delta$-Hermitian and Hamiltonian matrices
Hongguo Xu
https://arxiv.org/abs/2509.10643 https://

Invariant subspace perturbations related to defective eigenvalues of $Δ$-Hermitian and Hamiltonian matrices
Structured perturbation results for invariant subspaces of $Δ$-Hermitian and Hamiltonian matrices are provided. The invariant subspaces under consideration are associated with the eigenvalues perturbed from a single defective eigenvalue. The results show how the original eigenvectors and generalized eigenvectors are involved in composing such perturbed invariant subspaces and eigenvectors.

Energy-Aware 6G Network Design: A Survey
Rashmi Kamran, Mahesh Ganesh Bhat, Pranav Jha, Shana Moothedath, Manjesh Hanawal, Prasanna Chaporkar
https://arxiv.org/abs/2509.11289 ht…

Energy-Aware 6G Network Design: A Survey
6th Generation (6G) mobile networks are envisioned to support several new capabilities and data-centric applications for unprecedented number of users, potentially raising significant energy efficiency and sustainability concerns. This brings focus on sustainability as one of the key objectives in the their design. To move towards sustainable solution, research and standardization community is focusing on several key issues like energy information monitoring and exposure, use of renewable energ…

[2025-09-16 Tue (UTC), 25 new articles found for math.NA Numerical Analysis]
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Multi-Layer Perceptron-Based Relay Node Selection for Next-Generation Intelligent Delay-Tolerant Networks
Zhekun Huang, Milena Radenkovic
https://arxiv.org/abs/2509.11239 https:…

Multi-Layer Perceptron-Based Relay Node Selection for Next-Generation Intelligent Delay-Tolerant Networks
Delay Tolerant Networks (DTNs) are critical for emergency communication in highly dynamic and challenging scenarios characterized by intermittent connectivity, frequent disruptions, and unpredictable node mobility. While some protocols are widely adopted for simplicity and low overhead, their static replication strategy lacks the ability to adaptively distinguish high-quality relay nodes, often leading to inefficient and suboptimal message dissemination. To address this challenge, we propose a …

UDFS: Lightweight Representation-Driven Robust Network Traffic Classification
Youquan Xian, Xueying Zeng, Mei Huang, Aoxiang Zhou, Xiaoyu Cui, Peng Liu, Lei Cui
https://arxiv.org/abs/2509.11157

UDFS: Lightweight Representation-Driven Robust Network Traffic Classification
In recent years, sequence features such as packet length have received considerable attention due to their central role in encrypted traffic analysis. Existing sequence modeling approaches can be broadly categorized into flow-level and trace-level methods: the former suffer from high feature redundancy, limiting their discriminative power, whereas the latter preserve complete information but incur substantial computational and storage overhead. To address these limitations, we propose the \text…

On the Feasibility of Inter-Flow Service Degradation Detection
Balint Bicski, Adrian Pekar
https://arxiv.org/abs/2509.11140 https://arxiv.org/pdf/2509.1114…

On the Feasibility of Inter-Flow Service Degradation Detection
Hardware acceleration in modern networks creates monitoring blind spots by offloading flows to a non-observable state, hindering real-time service degradation (SD) detection. To address this, we propose and formalize a novel inter-flow correlation framework, built on the hypothesis that observable flows can act as environmental sensors for concurrent, non-observable flows. We conduct a comprehensive statistical analysis of this inter-flow landscape, revealing a fundamental trade-off: while the …

Multi-Modal Sensing Aided mmWave Beamforming for V2V Communications with Transformers
Muhammad Baqer Mollah, Honggang Wang, Hua Fang
https://arxiv.org/abs/2509.11112 https://

Multi-Modal Sensing Aided mmWave Beamforming for V2V Communications with Transformers
Beamforming techniques are utilized in millimeter wave (mmWave) communication to address the inherent path loss limitation, thereby establishing and maintaining reliable connections. However, adopting standard defined beamforming approach in highly dynamic vehicular environments often incurs high beam training overheads and reduces the available airtime for communications, which is mainly due to exchanging pilot signals and exhaustive beam measurements. To this end, we present a multi-modal sen…

RU Energy Modeling for O-RAN in ns3-oran
Abdul Wadud, Nima Afraz
https://arxiv.org/abs/2509.10978 https://arxiv.org/pdf/2509.10978

RU Energy Modeling for O-RAN in ns3-oran
This paper presents a detailed and flexible power consumption model for Radio Units (RUs) in O-RAN using the ns3-oran simulator. This is the first ns3-oran model supporting xApp control to perform the RU power modeling. In contrast to existing frameworks like EARTH or VBS-DRX, the proposed framework is RU-centric and is parameterized by hardware-level features, such as the number of transceivers, the efficiency of the power amplifier, mmWave overheads, and standby behavior. It enables simulatio…

Deep Learning based Moving Target Defence for Federated Learning against Poisoning Attack in MEC Systems with a 6G Wireless Model
Somayeh Kianpisheh, Tarik Taleb, Jari Iinatti, JaeSeung Song
https://arxiv.org/abs/2509.10914

Deep Learning based Moving Target Defence for Federated Learning against Poisoning Attack in MEC Systems with a 6G Wireless Model
Collaboration opportunities for devices are facilitated with Federated Learning (FL). Edge computing facilitates aggregation at edge and reduces latency. To deal with model poisoning attacks, model-based outlier detection mechanisms may not operate efficiently with hetereogenous models or in recognition of complex attacks. This paper fosters the defense line against model poisoning attack by exploiting device-level traffic analysis to anticipate the reliability of participants. FL is empowered …

gNB-based Local Breakout for URLLC in industrial 5G
Rajendra Paudyal, Rajendra Upadhyay, Al Nahian Bin Emran, Duminda Wijesekera
https://arxiv.org/abs/2509.10617 https://…

gNB-based Local Breakout for URLLC in industrial 5G
Industrial URLLC workloads-coordinated robotics, automated guided vehicles, machine-vision collaboration require sub-5 ms latency and five-nines reliability. In standardized 5G Multicast/Broadcast Services, intra-cell group traffic remains anchored in the core using MB-SMF/MB-UPF, and the Application Function. This incurs a core network path and packet delay that is avoidable when data transmitters and receivers share a cell. We propose a gNB-local multicast breakout that pivots eligible uplink…

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
Shaba Shaon, Md Raihan Uddin, Dinh C. Nguyen, Seyyedali Hosseinalipour, Dusit Niyato, Octavia A. Dobre
https://arxiv.org/abs/2509.10559

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
AI-native 6G networks are envisioned to tightly embed artificial intelligence (AI) into the wireless ecosystem, enabling real-time, personalized, and privacy-preserving intelligence at the edge. A foundational pillar of this vision is federated learning (FL), which allows distributed model training across devices without sharing raw data. However, implementing classical FL methods faces several bottlenecks in heterogeneous dynamic wireless networks, including limited device compute capacity, un…

ASL360: AI-Enabled Adaptive Streaming of Layered 360{\deg} Video over UAV-assisted Wireless Networks
Alireza Mohammadhosseini, Jacob Chakareski, Nicholas Mastronarde
https://arxiv.org/abs/2509.10544

ASL360: AI-Enabled Adaptive Streaming of Layered 360° Video over UAV-assisted Wireless Networks
We propose ASL360, an adaptive deep reinforcement learning-based scheduler for on-demand 360° video streaming to mobile VR users in next generation wireless networks. We aim to maximize the overall Quality of Experience (QoE) of the users served over a UAV-assisted 5G wireless network. Our system model comprises a macro base station (MBS) and a UAV-mounted base station which both deploy mm-Wave transmission to the users. The 360° video is encoded into dependent layers and segmented tiles, all…

Pair-Bid Auction Model for Optimized Network Slicing in 5G RAN
Mengyao Li, Sebastian Troia, Yingqian Zhang, Guido Maier
https://arxiv.org/abs/2509.10533 https://

Pair-Bid Auction Model for Optimized Network Slicing in 5G RAN
Network slicing is a key 5G technology that enables multiple virtual networks to share physical infrastructure, optimizing flexibility and resource allocation. This involves Mobile Network Operators (MNO), Mobile Virtual Network Operators (MVNOs), and end users, where MNO leases network slices to MVNOs, and then provides customized services. This work considers end-to-end network slicing with a focus on fair sharing and financial-related power efficiency, modeled as a two level hierarchical com…

CAR-BRAINet: Sub-6GHz Aided Spatial Adaptive Beam Prediction with Multi Head Attention for Heterogeneous Vehicular Networks
Aathira G Menon (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka), Prabu Krishnan (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka), Shyam Lal (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka)

CAR-BRAINet: Sub-6GHz Aided Spatial Adaptive Beam Prediction with Multi Head Attention for Heterogeneous Vehicular Networks
Heterogeneous Vehicular Networks (HetVNets) play a key role by stacking different communication technologies such as sub-6GHz, mm-wave and DSRC to meet diverse connectivity needs of 5G/B5G vehicular networks. HetVNet helps address the humongous user demands-but maintaining a steady connection in a highly mobile, real-world conditions remain a challenge. Though there has been ample of studies on beam prediction models a dedicated solution for HetVNets is sparsely explored. Hence, it is the need …

An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
Vadim Allayev, Mahbubur Rahman
https://arxiv.org/abs/2509.10507 https://

An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
Internet of Intelligent Things (IoIT), an emerging field, combines the utility of Internet of Things (IoT) devices with the innovation of embedded AI algorithms. However, it does not come without challenges, and struggles regarding available computing resources, energy supply, and storage limitations. In particular, many impediments to IoIT are linked to the energy-efficient deployment of machine learning (ML)/deep learning (DL) models in embedded devices. Research has been conducted to design …

Towards Scalable O-RAN Resource Management: Graph-Augmented Proximal Policy Optimization
Duc-Thinh Ngo (STACK, LS2N), Kandaraj Piamrat, Ons Aouedi, Thomas Hassan, Philippe Raipin-Parv\'edy
https://arxiv.org/abs/2509.10499

Towards Scalable O-RAN Resource Management: Graph-Augmented Proximal Policy Optimization
Open Radio Access Network (O-RAN) architectures enable flexible, scalable, and cost-efficient mobile networks by disaggregating and virtualizing baseband functions. However, this flexibility introduces significant challenges for resource management, requiring joint optimization of functional split selection and virtualized unit placement under dynamic demands and complex topologies. Existing solutions often address these aspects separately or lack scalability in large and real-world scenarios. …

Online Learning Based Efficient Resource Allocation for LoRaWAN Network
Ruiqi Wang, Jing Ren, Tongyu Song, Wenjun Li, Xiong Wang, Sheng Wang, Shizhong Xu
https://arxiv.org/abs/2509.10493

Online Learning Based Efficient Resource Allocation for LoRaWAN Network
The deployment of large-scale LoRaWAN networks requires jointly optimizing conflicting metrics like Packet Delivery Ratio (PDR) and Energy Efficiency (EE) by dynamically allocating transmission parameters, including Carrier Frequency, Spreading Factor, and Transmission Power. Existing methods often oversimplify this challenge, focusing on a single metric or lacking the adaptability needed for dynamic channel environments, leading to suboptimal performance. To address this, we propose two online…

SABR: A Stable Adaptive Bitrate Framework Using Behavior Cloning Pretraining and Reinforcement Learning Fine-Tuning
Pengcheng Luo, Yunyang Zhao, Bowen Zhang, Genke Yang, Boon-Hee Soong, Chau Yuen
https://arxiv.org/abs/2509.10486

SABR: A Stable Adaptive Bitrate Framework Using Behavior Cloning Pretraining and Reinforcement Learning Fine-Tuning
With the advent of 5G, the internet has entered a new video-centric era. From short-video platforms like TikTok to long-video platforms like Bilibili, online video services are reshaping user consumption habits. Adaptive Bitrate (ABR) control is widely recognized as a critical factor influencing Quality of Experience (QoE). Recent learning-based ABR methods have attracted increasing attention. However, most of them rely on limited network trace sets during training and overlook the wide-distrib…

Synergetic Empowerment: Wireless Communications Meets Embodied Intelligence
Hongtao Liang, Yihe Diao, YuHang Wu, Fuhui Zhou, Qihui Wu
https://arxiv.org/abs/2509.10481 https://…

Synergetic Empowerment: Wireless Communications Meets Embodied Intelligence
Wireless communication is evolving into an agent era, where large-scale agents with inherent embodied intelligence are not just users but active participants. The perfect combination of wireless communication and embodied intelligence can achieve a synergetic empowerment and greatly facilitate the development of agent communication. An overview of this synergetic empowerment is presented, framing it as a co-evolutionary process that transforms wireless communication from a simple utility into t…

Exploring Busy Period for Worst-Case Deadline Failure Probability Analysis
Junyi Liu, Xu Jiang, Yuanzhen Mu, Wang Yi, Nan Guan
https://arxiv.org/abs/2509.10479 https://

Exploring Busy Period for Worst-Case Deadline Failure Probability Analysis
Busy period is a fundamental concept in classical deterministic real-time scheduling analysis. In this deterministic context, only one busy period - which starts at the critical instant - needs to be considered, which identifies the worst-case scenario and thus paves the way for the development of efficient and safe analysis techniques. However, a recent work has revealed that, in the context of \textit{probabilistic} real-time scheduling analysis, only considering critical instant is not safe.…