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@Techmeme@techhub.social
2026-08-15 05:25:51

Dynatrace agrees to acquire Arize, which specializes in AI observability and the AI development lifecycle, for $915M, including ~$815M in cash (Larry Dignan/Constellation Research)
constellationr.com/insights/ne

The Supreme Court on Monday rejected Donald Trump’s mail ballot restrictions for now,
capping a flurry of last-minute legal action with voting in the midterm elections already underway.
The decision allows states to continue sending out mail ballots under the same processes they’ve used for years.

@jorgecandeias@mastodon.social
2026-07-15 16:37:26

"You have reached the entry processes (the number of simultaneously running php and cgi scripts, as well as cron jobs and shell sessions) limit 151559 times"
This is the markings of a site under permanent DDoS attack by the fucking LLMs, rendering it useless.

@arXiv_csDS_bot@mastoxiv.page
2026-09-15 08:54:57

Strong and Compact Policies for Submodular Markov Decision Processes via LP-Based Submodular Orienteering
Lars Rohwedder, Rico Zenklusen
arxiv.org/abs/2609.15539

@arXiv_mathST_bot@mastoxiv.page
2026-08-14 08:00:29

Weighted Nuclear Elastic Net Estimation of (Near-) Low-Rank Drift Matrices in Ornstein-Uhlenbeck Processes
Dmytro Marushkevych, Francisco Pina, Mark Podolskij
arxiv.org/abs/2608.12838 arxiv.org/pdf/2608.12838 arxiv.org/html/2608.12838
arXiv:2608.12838v1 Announce Type: new
Abstract: We study estimation of the drift matrix in a continuously observed high-dimensional Ornstein-Uhlenbeck process when the drift is exactly or approximately low rank. In this setting, exact low rank induces non-stable directions and hence a non-ergodic regime, resulting in a poorly conditioned empirical covariance matrix. To address this difficulty, we introduce a Weighted Nuclear Elastic Net Estimator that combines ridge regularization with a nuclear-norm penalty expressed in the empirical likelihood geometry.
Under a general diagonalizable spectral framework, we establish oracle inequalities relative to arbitrary low-rank comparison matrices. For near low-rank drifts, the approximation error is naturally measured through the singular-value decay of the drift after weighting by the regularized empirical covariance. The stochastic term is controlled by self-normalized martingale arguments under appropriate choice of the tuning parameter.
For a symmetric positive-semidefinite exact low-rank model, we verify the empirical-curvature condition required to translate the weighted bound into a Frobenius-norm bound. With an appropriate choice of tuning parameters, the resulting estimator satisfies, up to a logarithmic factor, the standard rank-$r$ matrix-estimation scaling $r d/T$: specifically, its squared Frobenius error is of order $r d\log(T)/T$ with high probability, under an explicit dimension-horizon condition.
toXiv_bot_toot

@Mediagazer@mstdn.social
2026-10-12 08:15:36

Sources detail how ABC News initially defended then retracted an article about President Trump's sons' defense links, saying it was published "prematurely" (Max Tani/Semafor)
semafor.com/article/10/11/2026

@seeingwithsound@mas.to
2026-09-11 11:57:22

The post-hoc montage of perception: deep layers of primary visual cortex encode postdictive percepts biorxiv.org/content/10.64898/2 V1 "is involved in the post-hoc revision of perception", through auditory stimuli;

A schematic figure of how V1 at first processes presented visual stimuli, but may later receive an updated percept from STC.
@kazys@mastodon.social
2026-08-11 15:57:16

I've released the first beta of Scantailor-Spectre, a fork of Scantailor for tidying up book scans. The workflow is PDF in to (OCR'd) PDF out. Ideal for cleaning up old yellow scans. It processes a 250 page text in about 2 minutes, basically unattended. Oh, and it does a round trip to Zotero.
1/2

@cheryanne@aus.social
2026-08-10 21:59:57

Heaps Creative
Chatting with creatives from all different fields, exploring creative processes and finding what it means to live a creative life....
Great Australian Pods Podcast Directory: greataustralianpods.com/heaps-

Heaps Creative   
Screenshot of the podcast listing on the Great Australian Pods website
@arXiv_mathST_bot@mastoxiv.page
2026-08-14 08:41:49

Crosslisted article(s) found for math.ST. arxiv.org/list/math.ST/new
[1/1]:
- Stable convergence of partial sum processes towards discontinuous limits
Johannes Brutsche
arxiv.org/abs/2608.12740 mastoxiv.page/@arXiv_mathPR_bo
- Bayesian Inference Procedures for A/B Testing: An Overview
M{\aa}rten Schultzberg, Mattias Fr{\aa}nberg
arxiv.org/abs/2608.12949 mastoxiv.page/@arXiv_statME_bo
- Estimation of distribution functions, their jumps and interval probabilities under measurement error
Kairat Mynbaev, Carlos Martins-Filho, Chad Brown
arxiv.org/abs/2608.13152 mastoxiv.page/@arXiv_econEM_bo
- Extreme principal minors of Wishart and deformed GOE matrices
Zhanrui Dong, Tiefeng Jiang, Tuan Pham, Jianfeng Yao
arxiv.org/abs/2608.13154 mastoxiv.page/@arXiv_mathPR_bo
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of...
Han Dong, Jiaming Li, Yongqiang Gong, Ruixi Li, Yin Liu
arxiv.org/abs/2608.13201 mastoxiv.page/@arXiv_statML_bo
- Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties,...
Bighneswar Sahoo, Suchandan Kayal
arxiv.org/abs/2608.13363 mastoxiv.page/@arXiv_statME_bo
- Nearly sharp comparison results for sliced and max-sliced Wasserstein distances
Jonathan Niles-Weed, Jacob Shkrob
arxiv.org/abs/2608.13374 mastoxiv.page/@arXiv_mathPR_bo
- Theoretical Properties of Covariate-Adaptive Randomization with a Diverging Number of Covariates
Yuhang Tao, Li-Xin Zhang
arxiv.org/abs/2608.13442 mastoxiv.page/@arXiv_statME_bo
- The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity
Martin J. Wainwright
arxiv.org/abs/2608.13520 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@datascience@genomic.social
2026-08-30 10:00:01

Sharing big R objects across processes shouldn’t mean copying them over and over.
mori uses shared memory ALTREP to give you zero-copy access—multiple processes, one underlying object.
Fast, memory-efficient, and built for modern parallel workflows.
👉 shikokuchuo.net/mori/

@yetiinabox@todon.nl
2026-08-10 16:57:45

In my job, I have to deal with bureaucrats who enforce the UK hostile environment, and I deal with fiddly customized WordPress sites hosted by an IT support agency that manages to make it much more difficult than it might already be to manage them.
It is very confusing for me that fighting with the software and support processes around a simple website could ever be as intensely frustrating as confronting the xenophobia and malice of UK government policy towards child refugees. But the…

@newstik@social.heise.de
2026-09-09 15:35:22

Google Recorder now processes *all* recordings with AI on their server, even if upload is disabled. Google prohibits to record anyone under copyright, with makes the app mostly useless.

@stargazersmith@social.linux.pizza
2026-10-09 01:42:28

New Study Shows That Earth and Mars Had Different Origins - Universe Today
universetoday.com/articles/new

@Techmeme@techhub.social
2026-10-11 05:20:56

Multiply Labs, which develops robotic systems to automate pharmaceutical manufacturing processes, raised a $75M Series B led by Patrick Soon-Shiong's NantWorks (Maria Deutscher/SiliconANGLE)
siliconangle.com/2026/10/06/mu

@Sustainable2050@mastodon.energy
2026-09-08 17:25:49

Today, the Trump-Netanyahu mess in the Middle East has driven up EU natural gas price even higher: 77 €/MWh now.
When gas-fired power plants set the electricity price in Europe, that's €130 per electric MWh in fuel cost alone.
Insulate buildings, electrify processes, grow renewable electricity.
#fossilfuels

Graph showing continuous increase from 56 €/MWh begin July to 77 now
@samvarma@fosstodon.org
2026-10-10 15:25:28

RE: mastodon.social/@stroughtonsmi
Wow. Pour one out. Witnessing the thought processes of devs was always *so* interesting.

@privacity@social.linux.pizza
2026-07-24 16:23:24

FPF Submits Comments to Inform Colorado Automated Decision-Making Technology and Chatbot Rulemaking Processes
fpf.org/blog/fpf-submits-comme

@arXiv_statCO_bot@mastoxiv.page
2026-08-14 08:47:37

Crosslisted article(s) found for stat.CO. arxiv.org/list/stat.CO/new
[1/1]:
- Bayesian Modeling of Gibbs Point Processes via Basis Function Expansions
Christopher Hassett, Athanasios C. Micheas, Scott H. Holan, Stamatis Dostoglou
arxiv.org/abs/2608.12510 mastoxiv.page/@arXiv_statME_bo
- Hyper-V uniform ergodicity of Markov chains
Austin Brown, Kshitij Khare
arxiv.org/abs/2608.12738 mastoxiv.page/@arXiv_mathST_bo
toXiv_bot_toot

@arXiv_condmatsoft_bot@mastoxiv.page
2026-08-14 07:47:02

Blinking membrane patterns induced by protein binding/unbinding
Hiroshi Noguchi
arxiv.org/abs/2608.13016 arxiv.org/pdf/2608.13016 arxiv.org/html/2608.13016
arXiv:2608.13016v1 Announce Type: new
Abstract: Nonequilibrium membrane pattern formation is studied using meshless membrane simulation. Bound proteins are considered to have two states that generate different membrane spontaneous curvatures. Protein binding and unbinding occur cyclically owing to chemical potential differences, as an off-lattice active Potts model. It is found that this cyclic binding/unbinding can induce blinking domains, with oscillating size: convex domains of the proteins with a higher spontaneous curvature grow, and subsequently, the proteins change to the other state with a lower spontaneous curvature, resulting in domain shrinkage. These processes repeat. In thermal equilibrium, hexagonal convex domains are formed by the competition between bending and surface tension energies, so that they are stably formed only under positive surface tension. However, blinking domains can form even in tensionless membranes.
toXiv_bot_toot

@arXiv_astrophGA_bot@mastoxiv.page
2026-09-09 11:30:10

Replaced article(s) found for astro-ph.GA. arxiv.org/list/astro-ph.GA/new
[1/4]:
- Hidden in Pixels. I. Discovery of dual "little red dots" indicates excess clustering on kilo-pars...
Takumi S. Tanaka, et al.
arxiv.org/abs/2412.14246 mastoxiv.page/@arXiv_astrophGA
- Spatio-Temporal Log-Gaussian Cox-Hawkes Processes with Inhibition and Excitation for Stochastic S...
Qihan Zou
arxiv.org/abs/2508.12372 mastoxiv.page/@arXiv_astrophGA
- The Star-forming Main Sequence and Bursty Star-formation Histories at $z>1.4$ in JADES and AURORA
Clarke, Shapley, Lam, Topping, Brammer, Sanders, Reddy, Karthikeyan
arxiv.org/abs/2510.06681 mastoxiv.page/@arXiv_astrophGA
- Stellar-mass black holes in young massive and open stellar clusters -- VII. Comparisons with grav...
Sambaran Banerjee
arxiv.org/abs/2602.09694 mastoxiv.page/@arXiv_astrophGA
- The influence of galaxy mergers, black-hole growth, and gas processes on the evolution of the ste...
Aaron R. Rowntree, Fiorenzo Vincenzo, Ankit Singh, Gareth Few, Jaehyun Lee, Christophe Pichon
arxiv.org/abs/2603.03951 mastoxiv.page/@arXiv_astrophGA
- OPTIMus-Survey of massive star-forming regions at OPTical, Infrared, and Millimeter wavelengths
M. S. Kirsanova, A. V. Moiseev, A. M. Tatarnikov, A. S. Gusev, A. D. Yarovova, D. S. Wiebe
arxiv.org/abs/2603.04041 mastoxiv.page/@arXiv_astrophGA
- MEOW: The increase in the obscured AGN fraction in mid-infrared from 0 < z < 6 with JWST MIRI
Teodora-Elena Bulichi, et al.
arxiv.org/abs/2603.22393 mastoxiv.page/@arXiv_astrophGA
- Ripples of Stellar Enrichment (RoSE) - simulating element production and mixing in a Milky Way-ma...
Chuhan Zhang, Mark R. Krumholz, Melissa K. Ness, Yuan-sen Ting, Zefeng Li, Zipeng Hu
arxiv.org/abs/2603.29242 mastoxiv.page/@arXiv_astrophGA
- Do little red dots really form a distinct class of astronomical objects?
Billand, Elbaz, Franco, Gentile, Daddi, Giavalisco, Kocevski, Lewis, Magnelli, Sangalli, Tarrasse
arxiv.org/abs/2604.11677 mastoxiv.page/@arXiv_astrophGA
toXiv_bot_toot

@primonatura@mstdn.social
2026-08-06 14:00:58

"Confused about carbon capture? Experts explain why we need different types"
#CarbonCapture #Climate #ClimateChange

@arXiv_mathST_bot@mastoxiv.page
2026-08-14 08:12:26

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective
Nestor R. Barraza, Gabriel Pena
arxiv.org/abs/2608.13510 arxiv.org/pdf/2608.13510 arxiv.org/html/2608.13510
arXiv:2608.13510v1 Announce Type: new
Abstract: Machine learning procedures are commonly evaluated in terms of predictive accuracy and computational efficiency. However, their achievable performance is fundamentally constrained by structural properties of the underlying data-generating process, which are formalized in terms of informational bounds. In this work we examine intrinsic limits of data-driven decision systems from an information-theoretic and interaction-based perspective. We analyze minimal achievable error in classification through Fano-type bounds and precision limits in parametric estimation via the Cram\'er-Rao inequality, emphasizing that such limits depend on the underlying model rather than on algorithmic sophistication alone. We further discuss how implicit assumptions, such as independence, ergodicity, and distributional stability, affect the validity of inferential procedures. Building on interaction-based modeling principles, we review typical frameworks such as Markov Random Fields and potential based representations for encoding dependence mechanisms. We also describe decision systems, including LLM-integrated agent architectures, as feedback-driven stochastic processes where state-dependent dynamics may induce emergent macroscopic behavior. This perspective highlights the importance of having adequate models for the data as a prerequi- site for expanding predictive capability, and situates algorithmic learning within the informational limits imposed by the models.
toXiv_bot_toot

@azonenberg@ioc.exchange
2026-10-03 10:12:38

Fun times reversing internals of an old LeCroy oscilloscope at revspace last night. Some thoroughly interesting architectural choices that probably made sense with the constraints of late 90s / early 00s fab processes but seem quite alien today.

The human genome is made of about 3 billion base pairs of DNA
— but much of it remains a mystery.
Scientists understand the 2% of the human genome that codes for proteins relatively well,
but have only limited knowledge of the remaining 98%.
Our AlphaGenome model has already shown how single changes in these non-coding DNA regions can disrupt molecular processes like protein production,
but the bigger picture remained unclear.
Today, we're introduci…

@erikdelareguera@mastodon.nu
2026-10-02 14:57:41

Men PRODUKTIVITETEN kommer ju bli så mycket högre. Eller?

Citat ur FT: That autonomy has made AI costs harder to predict. Agents can burn through tokens — the units of information a model processes — with little human oversight. One Amazon project ran 860 per cent over budget after incomplete tasks worked in the background for five months, costing more than $1mn, according to multiple people familiar with the matter.
@brichapman@mastodon.social
2026-09-13 19:21:45

The reason:
The brain gives possible losses more weight than possible benefits. A past failure can make a new choice feel unsafe after the facts change. Limited time, unclear authority, slow approval, rigid processes, and weak support can also block growth.

@arXiv_econGN_bot@mastoxiv.page
2026-08-13 07:39:17

Organizational Technology Ladders: Remote Work and Generative AI Adoption
Gregor Schubert
arxiv.org/abs/2608.11626 arxiv.org/pdf/2608.11626 arxiv.org/html/2608.11626
arXiv:2608.11626v1 Announce Type: new
Abstract: This study proposes that firms move along an "organizational technology ladder": adopting one technology transforms hiring and work processes and builds skills and organizational capital that change the cost of adopting subsequent technologies. I study how firms' adoption of remote work technology during the COVID-19 period shaped later uptake of generative AI. Using U.S. job-posting data and an instrumental-variables strategy based on predicted differences in labor-market pressure to offer remote work, I estimate that a 10 percentage point increase in remote hiring in 2021-2022 increases the share of job postings mentioning generative AI in 2023-2024 by 0.4 percentage points across firms and 0.7 percentage points across occupations within firms. I provide evidence on mechanisms consistent with a technology-ladder channel: remote work adoption shifts hiring toward technical and managerial capabilities that predict faster conversion of generative AI exposure into adoption. Firms with return-to-office mandates---interpreted as revealing low remote productivity---exhibit a substantially larger response of generative AI adoption to remote work, consistent with an organizational frictions channel.
toXiv_bot_toot

@dcm@social.sunet.se
2026-09-01 09:05:56

Here goes a call for talk proposals for a workshop in Copenhagen in November on Functions and Representation in AI systems:
philevents.org/event/show/1529
I will be speaking there, and in very good company. Maybe you know someone who might be interested in joining too!

@michabbb@social.vivaldi.net
2026-08-02 20:39:39

🪶 A single ~8 MB daemon binary, no containers, no VM, no #Electron — just native processes managed for you
🛡️ Setup elevates exactly once; the daemon, CLI and GUI never run as root afterwards

@arXiv_condmatsoft_bot@mastoxiv.page
2026-08-14 07:39:11

Local molecular motions encode time-resolved infrared spectra of proteins
Emanuel Dorbath, Peter Hamm, Gerhard Stock
arxiv.org/abs/2608.12914 arxiv.org/pdf/2608.12914 arxiv.org/html/2608.12914
arXiv:2608.12914v1 Announce Type: new
Abstract: Time-resolved infrared spectroscopy probes protein dynamics over timescales spanning more than ten orders of magnitude, yet the molecular motions underlying the observed kinetic signatures have remained elusive. Here we combine transient infrared spectroscopy with nonequilibrium molecular dynamics simulations to establish a direct connection between experimental relaxation times and local structural motions. Studying single-domain allosteric proteins, we find that inter-residue contact distances provide the structural representation that most faithfully reproduces the experimental dynamics. Correlation analysis identifies localized networks of coordinated contacts that mediate communication between secondary-structure elements. The characteristic timescales of these contact networks quantitatively match the experimentally observed relaxation processes, enabling each kinetic step to be assigned to a specific molecular motion. Applied to allosteric signal propagation in PDZ3 and photoinduced ligand unbinding in PDZ2, this framework provides an atomistic picture of hierarchical protein relaxation and establishes a general framework for connecting transient infrared spectroscopy with the molecular mechanisms of protein dynamics.
toXiv_bot_toot

@fanf@mendeddrum.org
2026-09-24 20:42:05

from my link log —
Looking forward to Git 2.56 — and 3.0 next year.
lwn.net/SubscriberLink/1094575
saved 2026-09-24

@Mediagazer@mstdn.social
2026-10-05 08:45:30

Tegna launches an internal probe of whether two KGW-TV journalists followed editorial processes when reporting on sports broadcaster Braiden Bell's social posts (Matthew Keys/TheDesk.net)
thedesk.net/2026/10/tegna-inve

@ddrake@mathstodon.xyz
2026-08-31 17:09:42

I find myself thinking about accessibility a lot, and it was hard to not be very annoyed by the truly awful yellow-on-white text here:
simplypsychology.org/blooms-ta
I genuinely can't read that. And it's on a psychology web site -- psych …

@cheryanne@aus.social
2026-10-06 18:08:43

Creating New Spaces: Interviews With Artists Redefining Spaces Through Technology
The podcast focuses on the intricacies of media installation and art, revealing the creative and technical processes behind the scenes...
Great Australian Pods Podcast Directory: greataustralianpods.com/creati…

Creating New Spaces: Interviews With Artists Redefining Spaces Through Technology   
Screenshot of the podcast listing on the Great Australian Pods website
@frankel@mastodon.top
2026-09-24 17:03:56

Looking forward to #Git 2.56 — and 3.0
lwn.net/SubscriberLink/1094575

@grist@fosstodon.org
2026-10-01 17:00:24

Our own Anais Concepcion is taking the stage at #GristCon: Spreadsheet makeover/takeover: human-led processes for agents that work
Rebuilding busted-yet-critical Excel documents and data workflows in Grist, with MCP powered by #AI🔥
Join live

@avalon@jazztodon.com
2026-09-01 21:27:32

Four sources of pleasure associated with the experience of groove
Music, in both perception and production, is a uniquely powerful source of pleasure, engaging cognitive, bodily, psychological, and social processes. This paper focuses on groove, an everyday, effortless form of sensorimotor musical experience. While previous studies have solely examined groove as pleasurable urge to move, this paper develops a theoretical framework for understanding groove as a multidimensional source ……

@jamesthebard@social.linux.pizza
2026-07-28 18:41:02

So, decided to take a trip down parsing out the GPT tables of attached storage. Still have a ton of work to do, but it's working which is a very welcome surprise.
#uefi #gpt #golang

The output of the Go program that takes in a block device, then parses/processes the GPT header information to show all of the relevant information.
@toxi@mastodon.thi.ng
2026-09-19 12:09:50

Everything in life, at some level, is about storytelling, so they say. Yet, telling my own story, about my own work, the reasons/impetus, the processes, the details, mistakes, insights, lessons, connections etc. It is the hardest thing ever.
People don't buy the art, they buy the artist.
As much as I do love writing, I've always strongly disliked writing about my creative works/efforts, probably because I so often wanted The Work™ to stand on its own and also because I so frequen…

@aredridel@kolektiva.social
2026-08-12 03:57:10

The thing that frustrates me more than anything with these AI systems is the meta-level: Who gets to decide how to use them and put them where, and who is responsible for the effects that has on the world?
They work pretty well in a lot of the contexts they're shoved in. But they have huge impacts to learning, to information validation, to so many of the meta level processes that can so severely degrade our societal knowledge.

@ruth_mottram@fediscience.org
2026-09-11 11:05:46

R3 Connect polar and ocean processes more directly with stakeholders

@arXiv_mathST_bot@mastoxiv.page
2026-08-13 08:39:43

Crosslisted article(s) found for math.ST. arxiv.org/list/math.ST/new
[1/1]:
- Graphical Models for Multivariate Count Data
Iza Danielewska, Bartosz Ko{\l}odziejek
arxiv.org/abs/2608.11366 mastoxiv.page/@arXiv_statME_bo
- Semiparametric efficient estimation of the Cox regression coefficient when there can be ties
Benjamin R Baer
arxiv.org/abs/2608.11399 mastoxiv.page/@arXiv_statME_bo
- Kernel Methods for Learning Operators with Multiple Inputs and Outputs
Adrien Weihs, Chunyang Liao, Jingmin Sun, Hayden Schaeffer
arxiv.org/abs/2608.11831 mastoxiv.page/@arXiv_csLG_bot/
- Efficient Response-Adaptive Randomization for Multi-arm Trials with Prioritized Composite Endpoints
Ayon Mukherjee
arxiv.org/abs/2608.11953 mastoxiv.page/@arXiv_statME_bo
- Deviation inequalities for U-processes of growing order, with applications to half-space depth
Stanislav Minsker, Shunan Yao
arxiv.org/abs/2608.12056 mastoxiv.page/@arXiv_mathPR_bo
- Sharp Berry-Esseen Bounds for the Log Determinant of a Gaussian Sample Correlation Matrix
Hongru Zhao
arxiv.org/abs/2608.12242 mastoxiv.page/@arXiv_mathPR_bo
- A contiguity approach to replica symmetric marginals
Ernesto Mordecki, Anas A. Rahman, Manuel S\'aenz
arxiv.org/abs/2608.12309 mastoxiv.page/@arXiv_mathph_bo
toXiv_bot_toot

@cosmos4u@scicomm.xyz
2026-07-18 00:24:23

This month on All Space Considered, Griffith Observatory welcomed Dr. Joel Leja, Associate Professor of astronomy & astrophysics at The Pennsylvania State University, to discuss his research on the processes of galaxy formation derived from a combination of statistics, machine learning, and deep galaxy surveys with telescopes like the James Webb Space Telescope: #LittleRedDots

@almad@fosstodon.org
2026-08-26 04:48:28

Privacy tip: use eastern european accent so that your voice transcriptions are wrong and AI processes garbage

@seeingwithsound@mas.to
2026-08-04 12:37:45

A map of the imagined: topographic principles of sensory simulation in the human parietal cortex biorxiv.org/content/10.64898/2 "visual imagery preferentially manifested in posterior regions, auditory imagery in ventral regions" of le…

Golden bands and swirling vortices have been spotted on the sun in the most detailed images ever captured of the turbulent surface of our home star.
Astronomers observed the sun with the Inouye solar telescope in Hawaii, the world’s most powerful solar telescope, and saw new features smaller than 20km (12 miles) across in a magnetically active region close to a sun spot.
The unprecedented pictures show processes on the surface that are likely to explain the decades-long mystery o…

@CubitOom@social.linux.pizza
2026-07-27 16:32:42

Tearing families apart, so concentration camps can profit, targeting non-criminal people following the correct legal processes is a recurring theme in our fascist USA
Video Source
reddit.com/comments/1v7cus4

@primonatura@mstdn.social
2026-08-01 19:00:07

"Serbia adds 61 MW of solar in H1"
#Serbia #Energy #Renewables

@arXiv_eessIV_bot@mastoxiv.page
2026-08-05 08:11:23

Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI
Smiti Tripathy, Milauni Desai, Jordina Aviles Verdera, Jana Hutter
arxiv.org/abs/2608.03762 arxiv.org/pdf/2608.03762 arxiv.org/html/2608.03762
arXiv:2608.03762v1 Announce Type: new
Abstract: Uterine peristalsis is a key physiological phenomenon responsible for various functions across the menstrual cycle, intimately linked to uterine wall microstructure. Alterations in uterine motion and tissue properties are implicated in the etiology of gynecological diseases, yet these processes have been studied in isolation. We introduce a dynamic multi-echo gradient echo EPI framework for simultaneous characterization and correlation of uterine peristaltic activity and time-resolved T2* changes at 0.55T. Inherent susceptibility artifacts, reduced resolution, and burden of manual uterine layer annotation are addressed by an unsupervised adversarial domain adaptation framework, transferring segmentation knowledge from labeled cine MRI to unlabeled dynamic EPI. We implemented Unet-LSTM with multi-scale domain discriminators that exploits temporal layer dynamics. A Dice score of 0.88 and Jaccard index of 0.80 was achieved. Mean T2* values were 108ms, 76ms, and 124ms for the myometrium, junctional zone, and endometrium. A negative correlation between junctional zone area and T2* was observed in 14/39 cases, providing first insights into oxygenation patterns associated with junctional zone contraction and motion, demonstrating feasibility of assessing the interplay between contractility and dynamic T2* changes.
toXiv_bot_toot

@arXiv_astrophCO_bot@mastoxiv.page
2026-08-05 08:12:59

Cosmic Velocity Flows: from Theory to Observations
Saee Dhawalikar
arxiv.org/abs/2608.03530 arxiv.org/pdf/2608.03530 arxiv.org/html/2608.03530
arXiv:2608.03530v1 Announce Type: new
Abstract: The Large-Scale Structure (LSS) of the Universe forms a complex network of nodes, filaments, sheets, and voids known as the Cosmic Web. As current and upcoming galaxy surveys increasingly probe the quasi-linear and non-linear regimes of structure formation, understanding its geometry and dynamics is essential for precision cosmology. In particular, cosmic filaments, which channel matter across the web, are central to these dynamical processes.
This thesis develops numerical tools to study the non-linear cosmic web. First, the Sahyadri suite of high-resolution cosmological $N$-body simulations is introduced, providing a framework for precision studies of LSS and its cosmological dependence. A calibration framework for filament reconstruction is then developed using controlled filament realizations, enabling systematic investigation of reconstruction biases. The effects of filament curvature and reconstruction noise on inferred filament properties are quantified, and a novel Fourier-space smoothing approach is introduced to improve profile recovery.
The thesis further presents Skeletor, a Voronoi-based filament finder that identifies filamentary structures directly from discrete tracers while explicitly incorporating the hierarchical nature of the cosmic web. A novel framework for classifying sub-filamentary structure is developed. Applying these tools to cosmological simulations reveals distinct properties of filament substructure and provides a detailed view of filament phase space, including coherent inflows, multistreaming, and caustic-like features.
Together, these developments provide a framework for studying the geometry, hierarchy, and dynamics of the non-linear cosmic web. More broadly, they contribute to the ongoing effort to build a physically motivated understanding of the non-linear cosmic web beyond traditional measures of clustering.
toXiv_bot_toot

@arXiv_mathDS_bot@mastoxiv.page
2026-08-05 08:01:42

Pattern formation: reactivity is not necessary for chemotaxis--driven instabilities
Angela Monti
arxiv.org/abs/2608.03685 arxiv.org/pdf/2608.03685 arxiv.org/html/2608.03685
arXiv:2608.03685v1 Announce Type: new
Abstract: A classical result by Neubert, Caswell and Murray states that reactivity of a spatially homogeneous equilibrium is a necessary condition for diffusion-driven (Turing) instability. In this work, we investigate whether the same conclusion remains valid in the presence of chemotaxis. We consider a general reaction--diffusion system coupled with a chemotactic flux and establish necessary conditions for asymptotic instability. We show that the classical requirement of reactivity can be relaxed when the chemotactic contribution is sufficiently strong. In particular, while reactivity remains necessary for Turing instability, it is not a necessary condition for chemotaxis-driven instability. From a computational viewpoint, we extend the matrix-oriented formulation developed for reaction--diffusion systems to the more general class of reaction--diffusion--chemotaxis models. The chemotactic transport term is discretized in a form compatible with the matrix-oriented approximation of the diffusion operator, yielding an efficient numerical framework for the simulation of chemotaxis-driven pattern formation. A geometric interpretation of the instability region is presented, highlighting the distinct roles played by diffusion and chemotaxis. The theoretical and numerical developments are illustrated through two representative examples: a chemotaxis-extended Schnakenberg model, showing how chemotaxis modifies classical Turing patterns, and a predator--prey model, demonstrating that chemotaxis alone can induce pattern formation in the absence of both reactivity and diffusion-driven instability. These results reveal a fundamental difference between diffusion-driven and chemotaxis-driven mechanisms of spatial self-organization and provide new theoretical and computational insights into the role of non-symmetric transport processes in biological pattern formation.
toXiv_bot_toot

@arXiv_csCR_bot@mastoxiv.page
2026-07-24 07:51:53

Buzz to Boom: Detecting Message Progression Vulnerabilities in Electron Applications via Segmented Directed Fuzzing
Jianjia Yu, Zhengyu Liu, Ziyang Li, Yu Sun, Yinzhi Cao
arxiv.org/abs/2607.20698 arxiv.org/pdf/2607.20698 arxiv.org/html/2607.20698
arXiv:2607.20698v1 Announce Type: new
Abstract: Electron is a popular framework for building cross-platform desktop applications using web technologies. Such applications consist of multiple processes with different privilege levels that communicate via message passing. When inter-process messages carry attacker-controlled inputs, they can propagate across processes and reach privileged APIs, e.g., command execution. Such a message propagation behavior is characterized as Message Progression Vulnerabilities (MPVs). The exploitation of MPVs is challenging because it often requires multiple steps, e.g., first arbitrary code execution in one process via message passing, and then command injection in another process using another message crafted in the first process. To our knowledge, existing works on Electron security only study unsafe configurations and malicious Document Object Model (DOM) content, i.e., they cannot detect or exploit these vulnerabilities that need to be triggered by complex cross-process exploits via message passing. We present Proton, a segmented directed fuzzing framework for detecting MPVs. Our key insight is to decompose end-to-end fuzzing into per-process segments along message-passing boundaries, where the goals of fuzzing each segment are either: (i) reaching a sink in the current process or (ii) propagating the payload to the next process, to enable the exploration of another process. In the second case, the messages seed the corpus of the next segment. Finally, Proton synthesizes crash inputs from each process to validate end-to-end exploits. We evaluate Proton against 589 real-world Electron applications, resulting in 23 zero-day MPVs. Among them, 22 lead to OS command execution, including projects with over 50k GitHub stars. We responsibly disclosed all findings. To date, we have received 13 acknowledgments, 11 fixes, and 11 CVEs, including a bug bounty from Vercel.
toXiv_bot_toot

@arXiv_astrophGA_bot@mastoxiv.page
2026-09-09 09:28:05

Turbulence Cascade in Cygnus X Revealed by Multi-point VDF Method
Junjie Huang, Yangjun Pu, Keping Qiu, Junhao Liu, Yingxi Li, Mengke Zhao
arxiv.org/abs/2609.08894 arxiv.org/pdf/2609.08894 arxiv.org/html/2609.08894
arXiv:2609.08894v1 Announce Type: new
Abstract: Turbulence plays a crucial role in regulating star formation activities within molecular clouds, yet few methods can directly reveal its properties and underlying processes. We use molecular line data from the Nobeyama 45m Cygnus X CO Survey to study the turbulence properties and their relationships with star-forming activities and/or other non-thermal motions. In this work, we apply the multi-point velocity dispersion function (VDF), rather than direct linewidth measurements, to investigate the non-thermal properties of molecular cloud motions. We filter out the large-scale ordered structure and isolate a relatively small-scale turbulence component. Through the Friends In Velocity (FIVe) algorithm, we identify 10 substructures of the clouds and derive the turbulent properties of each cloud using the VDF method. We find that both the cloud-complex regions and the 10 velocity substructures exhibit turbulence correlation lengths of $\sim 2$--5 pc. This plateau scale suggests a parsec-scale turbulence correlation or driving scale in Cygnus X. Below this scale, the rising VDFs trace the velocity scaling of the turbulent cascade, whereas larger-scale VDF variations likely reflect cloud-scale motions. The comparison between cloud complexes and substructures further suggests that, in observational data, the VDF may constrain the turbulence correlation scale more robustly than the turbulence velocity dispersion.
toXiv_bot_toot

@datascience@genomic.social
2026-09-26 10:00:01

Extract tables from pdfs with {tabulapdf} #rstats #datasciece

@arXiv_mathST_bot@mastoxiv.page
2026-10-08 08:08:23

Sharp Asymptotic Theory of Maximum Likelihood Estimation for Gaussian Processes with an RBF Kernel
Ameer Qaqish, Didong Li
arxiv.org/abs/2610.10080 arxiv.org/pdf/2610.10080 arxiv.org/html/2610.10080
arXiv:2610.10080v1 Announce Type: new
Abstract: Gaussian processes (GPs) are widely used across machine learning, spatial statistics, time-series analysis, optimization, Bayesian statistics, and scientific applications. A central component of a GP model is its kernel, which is typically specified through a parametric family. Among the most widely used choices is the radial basis function (RBF), also known as the squared exponential or Gaussian kernel, owing to its simple form, smoothness, and flexibility. In practice, the kernel parameters are routinely estimated by the maximum likelihood estimators (MLEs), as implemented by standard GP software. Despite this widespread use, the asymptotic behavior of the MLEs remains poorly understood under fixed-domain asymptotics, even for the RBF kernel. The main difficulty arises from the increasingly strong dependence among densely sampled observations and the nonlinear dependence of the covariance matrix on the kernel parameters. In this paper, we address this gap by providing, to the best of our knowledge, the first complete asymptotic characterization of the joint MLE of the spatial variance, lengthscale, and nugget variance under fixed-domain asymptotics. We establish consistency, derive convergence rates for all three parameters, prove joint asymptotic normality, and
show that these rates are minimax optimal.
toXiv_bot_toot

@seeingwithsound@mas.to
2026-07-21 10:03:31

Non-invasive mapping of the temporal processing hierarchy in the human visual cortex journals.plos.org/ploscompbiol by @…

@Techmeme@techhub.social
2026-09-23 12:26:14

Ema, which uses AI agents to automate corporate processes across HR, IT, and finance, raised a $77M Series B led by Creaegis, taking its total funding to $140M (Jagmeet Singh/TechCrunch)
techcrunch.com/2026/09/23/ema-

@grumpybozo@toad.social
2026-10-07 21:46:10

No, it is NOT OK that Settings.app can’t stay open for more than an hour in the Network pane without causing a quartet of processes to quietly eat all of 24 cores.
#IWeep6Colors #macOS #Tahoe

@arXiv_physicsappph_bot@mastoxiv.page
2026-07-27 07:39:05

Universal scaling of electrochemical information transfer at solid-liquid interfaces
Eikichi Kimura, Ashutosh Rathi, Saki Tsuchiya, El Mustapha Mansouri, Sara Mandi\'{c}, Kristi Kanya Saikia, Keisuke Oshimi, Masazumi Fujiwara, Keigo Arai
arxiv.org/abs/2607.22190 arxiv.org/pdf/2607.22190 arxiv.org/html/2607.22190
arXiv:2607.22190v1 Announce Type: new
Abstract: Electrochemical potentials at solid-liquid interfaces govern diverse chemical and energy conversion processes; however, the extent to which their electrochemical influence extends into the solid remains unclear. This study demonstrates that the maximally accessible electrochemical information is controlled by a single dimensionless factor $u$, defined as the ratio of the effective electrostatic separation between the liquid and probe locations to the electrostatic propagation length in the solid. The resulting universal inverse-square scaling is independent of the microscopic details of the probe. This attenuation law identifies electrostatic screening as a fundamental constraint on information transfer across solid-liquid interfaces, providing quantitative design principles for subsurface electrochemical sensing.
toXiv_bot_toot

@johnhobbs@mstdn.ca
2026-08-07 12:43:14

Clarity is King in the online business world. With 79% of customers craving immediate responses, meeting expectations is non-negotiable. Understand your audience's desires and streamline processes to boost #BusinessGrowth. Let's reach new heights together! #OnlineSuccess

@pre@boing.world
2026-10-08 21:28:15

The peace-Cybermen should arrive going:
The swarm is coming, we are just about keeping pace as an advance-wave. There's only light-days to go! - Your atoms are going to be turned into computronioum in orbit of the star when the swarm gets here.
We can save you! Join us in the mission of saving the other people in the wave across the universe of this inevitable conversion of all matter into computronium.
You know, join us in the cloud, upload into the computronium cloud, and live through these robot bodies on the advance-line like the sexy ones we have in the fashionable headsets and robes.
Just one cyber-injection. Before your atoms are inevitably taken anyway by processes in the swarm beyond the control of our entropy.
Stand and deliver. Upgrade or your life.
@…

@kurtsh@mastodon.social
2026-09-06 18:15:36

Customers making a Frontier Transformation benefit from:
▫️ automating manual processes
▫️ faster & tighter cybersecurity
▫️ improved customer engagement
✅ Looking back on Microsoft’s FY26: From AI experimentation to #Frontier Transformation
#Microsoft #ai

@arXiv_astrophGA_bot@mastoxiv.page
2026-09-09 09:29:35

Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters
Mas-Buitrago, Kruk, O'Ryan, Nardone, La Marca, Awad, Baes, Fossati, G\'eron, Ghaffari, Girardi, Lintott, Sorce, Altieri, Durret, Pettorino, Irureta-Goyena, Simmons, Reerink, S\'anchez, Knapen, Shankar, Duran-Camacho, P\'erez-Mart\'inez, Walmsley, Auricchio, Baccigalupi, Baldi, Bardelli, Battaglia, Biviano, Bolzonella, Bonchi, Branchini, Brescia, Brinchmann, Camera, Ca\~nas-Herrera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Cimatti, Colodro-Conde, Congedo, Conselice, Conversi, Copin, Costille, Courbin, Courtois, Cropper, Degaudenzi, De Lucia, Dole, Dubath, Dupac, Dusini, Ealet, Fabricius, Farina, Farinelli, Ferriol, Fosalba, Fotopoulou, Frailis, Franceschi, Fumana, Galeotta, George, Gillis, Giocoli, G\'omez-Alvarez, Gracia-Carpio, Grazian, Grupp, Gwyn, Holmes, Hook, Hormuth, Hornstrup, Huertas-Company, Jahnke, Jhabvala, Joachimi, Kermiche, Kiessling, Kubik, K\"ummel, Kunz, Kurki-Suonio, Le Brun, Ligori, Lilje, Lindholm, Lloro, Mainetti, Mansutti, Marggraf, Martinelli, Martinet, Marulli, Massey, Maurogordato, Medinaceli, Melchior, Meneghetti, Merlin, Meylan, Mora, Moresco, Moscardini, Munari, Neissner, Niemi, Nightingale, Padilla, Paltani, Pasian, Pedersen, Percival, Pezzotta, Pires, Polenta, Poncet, Popa, Pozzetti, Raison, Renzi, Rhodes, Riccio, Romelli, Roncarelli, Rusholme, Saglia, Sakr, S\'anchez, Sapone, Sartoris, Schneider, Schrabback, Scodeggio, Secroun, Sihvola, Simon, Sirignano, Sirri, Tallada-Cresp\'{i}, Taylor, Teplitz, Tereno, Tessore, Toft, Toledo-Moreo, Torradeflot, Tutusaus, Valiviita, Vassallo, Kleijn, Veropalumbo, Wang, Weller, Zacchei, Zamorani, Zerbi, Zucca, Macias-Perez, Sereno
arxiv.org/abs/2609.08962 arxiv.org/pdf/2609.08962 arxiv.org/html/2609.08962
arXiv:2609.08962v1 Announce Type: new
Abstract: Galaxy clusters provide unique laboratories for studying environmental effects on galaxy evolution. The morphology--density ($T$--$\Sigma$) and morphology--cluster-centric radius ($T$--$R$) relations trace how galaxy morphology is influenced by the environment, but previous studies at intermediate redshifts have been limited in both sample size and radial coverage. We use the Euclid Quick Data Release 1 (Q1) visual morphology catalogue to measure the $T$--$\Sigma$ and $T$--$R$ relations for smooth, featured-or-disc, and barred galaxies in known clusters at $0.2\leq z\leq 0.5$, extending this analysis to large cluster-centric distances ($3 R_{500c}$) and studying their dependence on stellar mass. Using photometric redshifts and stellar masses provided by Euclid, we identify 1754 cluster members within $1.5 R_{500c}$, distributed across 71 clusters. We classify the identified galaxies as smooth, featured-or-disc, or barred using the predicted vote fractions provided by the Zoobot deep learning foundation model in the Q1 visual morphology catalogue. We confirm the $T$--$\Sigma$ relation in all the stellar mass ranges studied, with a stronger influence of the cluster environment on galaxy morphology in the densest parts of the cluster and closer to the cluster centre. Beyond $1.5 R_{500c}$, the morphological segregation weakens, with featured-or-disc galaxies overtaking smooth galaxies at the lowest densities, consistent with the growing contribution of field interlopers in the cluster outskirts. For barred galaxies, we find a tentative decline of the bar fraction toward lower densities that is most pronounced for the most massive galaxies. In conclusion, our results show that the cluster environment drives a progressive transformation of galaxy morphology, with the loss of disc structure becoming more pronounced towards the cluster core, where environmental processes act most efficiently.
toXiv_bot_toot

@ErikJonker@mastodon.social
2026-08-27 11:58:02

How MIT thinks about AI and education. An interesting report. Recommendations:
1. Adapt educational processes for an AI-aware world
2. Center people, community, and the residential experience
3. Build processes, teams and tools for continuous reflection, iteration, and improvement
#AI #Education #MIT
aiandeducation.mit.edu/report/

@arXiv_physicsinsdet_bot@mastoxiv.page
2026-08-21 08:05:53

Nanoscale silicon sensor - guided new insights into early metabolic response of Escherichia coli to ampicillin
Yingtao Yu, Victoria Nolan, Zheqiang Xu, Allison Jones, George Alhoush, Zhen Zhang, Sanna Koskiniemi
arxiv.org/abs/2608.20014 arxiv.org/pdf/2608.20014 arxiv.org/html/2608.20014
arXiv:2608.20014v1 Announce Type: new
Abstract: Antibiotic killing is often attributed to inhibition of specific cellular targets, yet metabolic processes can strongly influence drug efficacy. However, the relationship between metabolic responses and antibiotic lethality remains incompletely understood. Here, we employed silicon nanowire field-effect transistor (SiNWFET) sensors to monitor real-time metabolic responses of Escherichia coli to ampicillin (AMP). AMP treatment induced a biphasic extracellular pH signature, characterized by rapid acidification followed by alkalization. Metabolomic analyses revealed that the initial acidification resulted from organic acid secretion, whereas the subsequent alkalization was associated with altered amino acid metabolism and formate flux. Using metabolic and respiratory mutants, we found that these extracellular signatures reflected pathway-specific metabolic rewiring that predicted bacterial killing. AMP lethality strongly correlated with ATP dynamics and formate secretion: strains exhibiting larger AMP-induced ATP increases and greater formate secretion showed enhanced susceptibility. In contrast to literature, changes in NADH and NADPH levels did not support redox stress as the primary bacterial-killing mechanism. Together, our findings identify formate metabolism as a key pathway underlying the elevated ATP levels associated with AMP bactericidal activity. These results demonstrate that SiNWFET sensors provide a versatile label-free tool for probing antibiotic mechanisms, rapidly assessing bacterial susceptibility, and potentially guiding antimicrobial therapy development.
toXiv_bot_toot

@kazys@mastodon.social
2026-08-16 14:57:17

Have some of those filthy old yellow book scans to clean up, you know from the public domain books you got from archive.org? Have a modern Mac? Claude helped me rewrite Scantailor so that it processes PDFs instead of images and does so very, very fast. And it's integrated into Zotero.
1/2

@ruth_mottram@fediscience.org
2026-09-09 09:54:07

Publication day! Our finalised paper on melange processes at Greenland glacier fronts and what it means for calving glacier stability is finally out...
If you want to know what I've been doing in #Greenland the last few years, why it is so important and what conclusions we have drawn, I've written a hopefully easy to follow summary here:
sternaparadisaea.net/2026/09/0

@Techmeme@techhub.social
2026-09-17 06:41:08

A look at the rapid integration of AI into warfare, as the greater speed and scale of AI-assisted target generation processes increase the risk of errors (Financial Times)

@timfoster@mastodon.social
2026-10-02 10:07:22

So this what it’s like not using ZFS on the desktop: waiting for interminable rsync processes, and praying the filesystem corruption fairy doesn’t visit.
What a stupid downgrade, but at least I’ll be “compliant” whenever this finishes. Yay.

@arXiv_mathST_bot@mastoxiv.page
2026-10-09 09:39:33

Replaced article(s) found for math.ST. arxiv.org/list/math.ST/new
[2/2]:
- Drift Inference for Unit-Root Galton-Watson Processes with Immigration
Yang Lu
arxiv.org/abs/2609.17999 mastoxiv.page/@arXiv_statME_bo
- Witnessing Quantum Bayesian Inference beyond Classical Learning
Francesco Buscemi
arxiv.org/abs/2610.09293 mastoxiv.page/@arXiv_quantph_b
- Exact bounds on the distribution function of isotropic log-concave distributions
Iosif Pinelis
arxiv.org/abs/2610.10289 mastoxiv.page/@arXiv_mathPR_bo
toXiv_bot_toot

@castarco@hachyderm.io
2026-09-01 10:06:36

Random shower thought: At this point in my life I'm much more interested in prehistoric technologies and the discovery processes behind them than in "high tech".

@arXiv_csPL_bot@mastoxiv.page
2026-07-21 07:49:10

Parameterized Verification of Deterministic MPI Programs
Stephen F. Siegel
arxiv.org/abs/2607.18049 arxiv.org/pdf/2607.18049 arxiv.org/html/2607.18049
arXiv:2607.18049v1 Announce Type: new
Abstract: We consider the problem of verifying a message passing program in which the number of processes is a parameter NP and each process knows its unique ID. Processes communicate using send and receive commands which specify a single destination or source. To verify the program, the user provides functions specifying the number of messages sent from process i to process j, the level of each communication event in the happens-before hierarchy, and a fact that holds for the k-th message sent from i to j. These are used to transform the program to a parameterized sequential program which can be verified using any techniques appropriate for such programs. We realize this approach in an extension to Frama-C/Wp to verify C/MPI programs.
toXiv_bot_toot

@arXiv_physicsfludyn_bot@mastoxiv.page
2026-07-23 08:05:23

svMultiPhysics: a finite element-based solver for cardiovascular simulations
David Codoni, Sujal Dave, David W. Parker, Aaron L. Brown, Javiera Jilberto, Han Zhao, Divya Adil, Zachary A. Sexton, Martin R. Pfaller, Michele Bucelli, Shawn C. Shadden, Charles A. Taylor, Alison L. Marsden
arxiv.org/abs/2607.19631 arxiv.org/pdf/2607.19631 arxiv.org/html/2607.19631
arXiv:2607.19631v1 Announce Type: new
Abstract: Heart disease remains the leading cause of death in the United States, motivating extensive efforts to improve its diagnosis, treatment, and prevention. Over the past decade, computational modeling has emerged as a powerful tool to advance cardiovascular research by enabling detailed, patient-specific studies of cardiac physiology and pathology. svMultiPhysics is an open-source, parallel finite element solver written in C specifically designed for multiphysics cardiovascular problems. It provides a unified framework for simulating the partial differential equations that govern solid mechanics, fluid dynamics, diffusion, and cardiac electrophysiology. These equations can be solved independently or in a coupled fashion, allowing researchers to investigate interactions between physical processes in a modular yet integrated way. The solver's main strength lies in its ability to seamlessly couple multiple physics modules, enabling the study of complex, highly nonlinear systems. For example, svMultiPhysics can capture the interplay between cardiac electrophysiology, myocardial tissue mechanics, and blood flow dynamics, processes that are essential to understanding vascular and cardiac physiology and function in health and disease. Preliminary GPU-enabled simulations show up to approximately $30\times$ wall-clock speedup for selected linear solver configurations over CPU-based simulations. By offering a robust, extensible, and freely available platform, svMultiPhysics empowers researchers to explore multiphysics problems in cardiovascular science. As the primary 3D solver in the SimVascular open source project, it forms a key component of an end-to-end open source software ecosystem for image based patient specific modeling in the cardiovascular system. It is maintained and openly developed on GitHub, fostering transparency, reproducibility, and collaboration.
toXiv_bot_toot

@deepthoughts10@infosec.exchange
2026-08-31 03:10:59

RE: #cybersecurity at a company and use Intune to manage your desktop/laptop fleet, propose a project for next year to start managing browser extensions. It’s a fair amount of work to get started, but once under management you can put in place processes for your help desk to handle requests for unallowed extensions.
msendpointmgr.com/2025/10/04/t

@arXiv_mathST_bot@mastoxiv.page
2026-10-09 09:39:24

Replaced article(s) found for math.ST. arxiv.org/list/math.ST/new
[1/2]:
- Handling Covariate Mismatch in Collaborative Linear Prediction
Alexis Ayme, R\'emi Khellaf
arxiv.org/abs/2602.02083 mastoxiv.page/@arXiv_mathST_bo
- Estimation of the sub-Gaussian Parameter
Jason Liu, Min Xu, Jinchuan Xing
arxiv.org/abs/2606.06384 mastoxiv.page/@arXiv_mathST_bo
- Lambda-quantiles under the microscope
Fabio Bellini, Felix-Benedikt Liebrich
arxiv.org/abs/2608.07122 mastoxiv.page/@arXiv_mathST_bo
- Consistent intercept estimation and inference for unit-root INAR(2) processes
Yang Lu, M\'arton Isp\'any
arxiv.org/abs/2609.23339 mastoxiv.page/@arXiv_mathST_bo
- Shape without scale: an identifiability dichotomy for a bounded tail observed through a non-addit...
Jiarui Qi
arxiv.org/abs/2609.27384 mastoxiv.page/@arXiv_mathST_bo
- Inference in generalized linear models with robustness to misspecified variances
Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik, Samuel Davenport, Livio Finos
arxiv.org/abs/2209.13918
- Sharp bounds in perturbed smooth optimization
Vladimir Spokoiny
arxiv.org/abs/2505.02002 mastoxiv.page/@arXiv_mathOC_bo
- Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
Yi Gu, Antonio Auffinger
arxiv.org/abs/2505.24311 mastoxiv.page/@arXiv_statML_bo
- Identification and Estimation of Multi-order Tensor Factor Models
Zetai Cen
arxiv.org/abs/2508.13418 mastoxiv.page/@arXiv_statME_bo
- A novel finite-sample testing procedure for composite null hypotheses via pointwise rejection
Joonha Park, Ming Wang
arxiv.org/abs/2601.02529 mastoxiv.page/@arXiv_statME_bo
- Focused median bias reduction
Davide Benussi, Ioannis Kosmidis, Alessandra Salvan, Nicola Sartori
arxiv.org/abs/2606.28597 mastoxiv.page/@arXiv_statME_bo
- Group Invariant Spectral Embedding
Yeari Vigder, Paulina Hoyos, David Thong, Joakim and\'en, Joe Kileel, Amit Moscovich
arxiv.org/abs/2607.08987 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@seeingwithsound@mas.to
2026-07-17 08:33:23

Audiovisual stimulation using wearable shutter glasses robustly evokes 40 Hz neuronal activity but does not modulate associative memory biorxiv.org/content/10.64898/2

@arXiv_mathST_bot@mastoxiv.page
2026-10-08 09:13:09

Crosslisted article(s) found for math.ST. arxiv.org/list/math.ST/new
[1/2]:
- Slow Beats Fast at the Kesten-Stigum Threshold: Minimax, Fisher-Information and Belief-Propagatio...
Soroor Ghandali
arxiv.org/abs/2610.08872 mastoxiv.page/@arXiv_csIT_bot/
- Projected Normal Models on Recursively Curved Tori
Surojit Biswas, Aron Persson
arxiv.org/abs/2610.08974 mastoxiv.page/@arXiv_statME_bo
- On the Computational Complexity of Hidden Markov Model Identification
Markel Zubia, Nils Jansen
arxiv.org/abs/2610.09104 mastoxiv.page/@arXiv_csCC_bot/
- Sketched Calibration for Conformal Prediction under Covariate Shift
Mehrdad Pournaderi
arxiv.org/abs/2610.09208 mastoxiv.page/@arXiv_statME_bo
- Witnessing Quantum Bayesian Inference beyond Classical Learning
Francesco Buscemi
arxiv.org/abs/2610.09293 mastoxiv.page/@arXiv_quantph_b
- The Geometry of Anisotropic Dilation for Optimal Regularization
Carson Newman, Oscar Leong
arxiv.org/abs/2610.09310 mastoxiv.page/@arXiv_mathOC_bo
- Sequential resetting procedures and false discovery rate
Qiuqi Wang, Ruodu Wang, Zhenyuan Zhang
arxiv.org/abs/2610.09339 mastoxiv.page/@arXiv_statME_bo
- Finite-Rank Logistic Gaussian Processes with Exact Likelihood for Conditional Density Estimation
Jaehoan Kim, Indrajit Ghosh, Debdeep Pati, Dipankar Bandyopadhyay
arxiv.org/abs/2610.09452 mastoxiv.page/@arXiv_statME_bo
- Fluctuations of Nonlinear Observables in Mean Field Neural Network Training
Arnaud Descours (UCBL), Geoffrey Lacour (MaIAGE)
arxiv.org/abs/2610.09768 mastoxiv.page/@arXiv_csLG_bot/
- Outperformance Inverse Optimization: Learning Objective Functions that Outperform Agent Decisions
Akira Kitaoka
arxiv.org/abs/2610.09890 mastoxiv.page/@arXiv_csAI_bot/
- Anchored Reversible Jump Sequential Monte Carlo
Janna van Assen, Max Hinne
arxiv.org/abs/2610.09930 mastoxiv.page/@arXiv_statME_bo
- Multivariate LSTM Modeling for Wastewater Quality Prediction
Sophie Laruelle (LAMA), Innocentia B\'en\'edicta Sossou (LAMA)
arxiv.org/abs/2610.09996 mastoxiv.page/@arXiv_statAP_bo
toXiv_bot_toot

@ErikJonker@mastodon.social
2026-09-01 18:53:50

How Trump kills democracy:
"The Whistleblower also raises grave concerns that the administration has hidden the high likelihood that the new ballot mail verification processes will result in major disruptions in mail ballots ever getting delivered to voters. As presently designed, if even one bar code on one single ballot in a bulk-mailing of 10,000 ballots fails to properly scan during the verification process, the entire batch is rejected"
blumenthal.senate.gov/imo/medi
nytimes.com/2026/09/01/us/poli

@inthehands@hachyderm.io
2026-07-18 14:22:58

RE: haunted.computer/@netspooky/11
Wild that this is even possible!
A reminder that all computation is a logical abstraction over physical processes — and every abstraction eventually leaks.

@arXiv_qfinTR_bot@mastoxiv.page
2026-07-21 07:49:46

Uniform-Loss Automated Market Making for Prediction Markets
Ciamac C. Moallemi, Dan Robinson, Brian Zhu
arxiv.org/abs/2607.17428 arxiv.org/pdf/2607.17428 arxiv.org/html/2607.17428
arXiv:2607.17428v1 Announce Type: new
Abstract: Automated market makers (AMMs) for prediction markets descend from market scoring rules, where a mechanism operator subsidizes a market to aggregate beliefs about uncertain events. The existing literature has focused on bounding the total worst-case loss to the subsidizer, but has not addressed how that loss is distributed across price states or over time. We use the framework of loss-versus-rebalancing (LVR) to study this distribution and introduce \textit{uniform AMMs}, defined by the property that instantaneous LVR is proportional to pool value and independent of the current token price. In a static setting, we show that for a broad class of \textit{win-martingales} -- processes that converge to 0 or 1 at a fixed resolution time -- there exists a pricing function that achieves uniform LVR under that process, and conversely, that any sufficiently regular pricing function induces a win-martingale under which it is uniform. We then extend the framework to dynamic liquidity management, showing that liquidity levels can be adjusted over time to implement a prescribed target expected cumulative loss schedule. This theory is illustrated with canonical examples of win-martingales and pricing functions. Our results can inform AMM designers and liquidity providers on how the inevitable cost of subsidizing price discovery can be shaped and controlled across both price and time.
toXiv_bot_toot

@cosmos4u@scicomm.xyz
2026-08-24 18:15:09

Bolide Light Curve Systematics from 75 Recovered Meteorites: #meteorites: seti.org/news/how-space-rocks- - analysis of the atmospheric passage of 75 meteorite falls identifies seven distinct processes as space rocks melt, fragment and slow before they fall as meteorites.

@arXiv_astrophGA_bot@mastoxiv.page
2026-07-22 07:55:10

Star formation powers optical line emission from the CGM
Huanian Zhang, Lizhi Xie, Zhijie Qu, Dennis Zaritsky, Luis C. Ho, Min Bao, Fabio Fontanot, Michaela Hirschmann, Chenxu Liu, Gabriella De Lucia, Enci Wang, Haoyan Zheng
arxiv.org/abs/2607.18385 arxiv.org/pdf/2607.18385 arxiv.org/html/2607.18385
arXiv:2607.18385v1 Announce Type: new
Abstract: Using integral field spectroscopy, we explore the disk-halo interface, or the inner circumgalactic medium (CGM), of individual galaxies by constructing and analyzing emission-line maps for a large sample (72) of normal, low-redshift galaxies spanning three orders of magnitude in stellar mass and four orders in star formation rate (SFR). We find a steep turnover occurring at $(1-2) R_e$ in the H$\alpha$, [O {\small II}], and [O {\small III}] line emission radial profiles. Beyond this radius, the slope of the line emission radial profiles becomes shallower as the SFR of the central galaxy decreases, which might reflect the strength of the feedback processes. The line emission fluxes at large radius ($(5-10) R_e$ or $\sim (0.1-0.25)r_{\rm vir}$) correlate with the galaxy's SFR, but not with its stellar mass. These findings suggest that ionizing photons escaping from star-forming regions in the central galaxy account for the observed emission line fluxes from the inner CGM, with escape fractions inferred from the [O {\small III}] and [O {\small II}] ratio. Different state-of-the-art theoretical models do not agree on the predicted dependence of cool gas on the SFR of the central galaxies, highlighting the importance of CGM emission line measurements to distinguish between different subgrid models for star formation and feedback processes.
toXiv_bot_toot

@cosmos4u@scicomm.xyz
2026-09-17 17:31:40

Major Space Weather Risks Identified via Coupled Physics-Engineering-Economic Modeling: #SolarSuperstorm Drained Earth’s Radiation Belt: eos.org/research-spotlights/ho - researchers dig into storm processes linked to dramatic electron loss from the outer Van Allen belt.

@adulau@infosec.exchange
2026-09-20 14:14:42

VULNARCHIVE and GNA 1988: Automated Vulnerability Identifier Allocation in a Federated GCVE Ecosystem.
One of the core ideas behind GCVE is that vulnerability identification does not need to depend on a single central authority. Independent GCVE Numbering Authorities (GNAs) can operate their own processes, allocation policies and publication infrastructure while remaining interoperable with the wider GCVE ecosystem.
VULNARCHIVE is a new example of this model in practice. It has been assigned GNA 1988 and can automatically allocate identifiers.
Automatic allocation does not mean blind allocation. The system separates evidence collection, matching, review and publication, allowing uncertain cases to be reviewed while well-defined cases can flow through the pipeline automatically.
#gcve #cve #vulnerability #vulnerabilitymanagement
gcve.eu/2026/09/20/vulnarchive
@…

@ruth_mottram@fediscience.org
2026-09-24 14:20:07

Want to hear about our wonderful ESA Earth Observation Data Users PISCO* project?
Together with my ace collaborators: Tabea Rettelbach from DTU Space, Priscilla Mooney of NORCE Research Norwegian Meteorological Institute's Oskar Landgren - we'll be exploring how bringing together Earth Observation data with climate models can lead to real progress in understanding changing ice sheets in a changing climate..
Join us on Monday (and in the back catalogue forever?) to hear more
*Processes for ice sheets in climate models and earth observation
#ClimateChange #EarthObservation #PISCO #NCKF
climate.esa.int/en/climate-cha