Tootfinder

HP Wolf security (weird name, or is it just me?) has their September 2025 Threat Insights report available. Key take-aways:
- Heavy use of LOLBINS (legit software built in to Windows used maliciously). Read the report, block or alert on the software used like mshta.exe, hh.exe and cscript.exe.
- Malicious SVG and IMG files are being delivered via email and when opened used to deliver malware. Block or quarantine email messages with SVG and IMG attachments at your email gateway. …

Filings: Meta spent the most on US lobbying in Q3, spending $5.8M, followed by Amazon, Google, Apple; Anthropic, Nvidia, and a16z hit $1M for the first time (Ashley Gold/Axios)
https://www.axios.com/2025/10/21/tech-lobbying-insights-q3

Meta tops spending again as AI lobbying heats up
Big Tech companies are still outspending companies focusing purely on AI and hardware.

Critical fantasy football insights for Week 8: Bo Nix's historic fourth quarter and more https://www.nytimes.com/athletic/6733287/2025/10/21/critical-fantasy-football-insights-for-week-8-bo-nixs-histori…

Big-Data Insights on the Hebrew Bible and Ancient Texts
https://ift.tt/y3Q08jK
H-Diplo Roundtable XXV-12 on Fall, _Dien Bien Phu: Un coin d’Enfer_ H-Diplo Roundtable…
via Input 4 RELCFP http…

Available since the second half of 2024 for transactions between individuals in Belgium, France and Germany, #Wero already has more than 43.5 million registered users.
https://epicompany.eu/media-insi…

EPI Company | After 12 months of existence, Wero has successfully…
The European Payments Initiative (EPI) is an initiative backed by 16 European banks and financial services companies to offer Wero, an payment solution…

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Zaid Hakami, Yuzhou Feng, Bogdan Carbunar
https://arxiv.org/abs/2509.17933

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Censorship and the distribution of false information, tools used to manipulate what users see and believe, are seemingly at opposite ends of the information access spectrum. Most previous work has examined them in isolation and within individual countries, leaving gaps in our understanding of how these information manipulation tools interact and reinforce each other across diverse societies. In this paper, we study perceptions about the interplay between censorship, false information, and influ…

Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
Johannes Schleiss, Anke Manukjan, Michelle Ines Bieber, Sebastian Lang, Sebastian Stober
https://arxiv.org/abs/2508.14921

Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
As Artificial Intelligence (AI) increasingly impacts professional practice, there is a growing need to AI-related competencies into higher education curricula. However, research on the implementation of AI education within study programs remains limited and requires new forms of collaboration across disciplines. This study addresses this gap and explores perspectives on interdisciplinary curriculum development through the lens of different stakeholders. In particular, we examine the case of cur…

8:00 AM PT - August 27 - Get tips, insights, and support from the teams building the latest capabilities for Windows 365!
Add this event to your calendar, then post your questions in advance or during the live AMA:
https://aka.ms/AMA/Windows365

These Four Walls
Delivers real insights from property experts on auctions, valuations and investor trends...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/these-four-walls/

Was It Something The Democrats Said? -- A Response to Third Way's Political Language Memo (Lindsey Cormack/DCinbox Insights)
https://dcinboxinsights.substack.com/p/was-it-something-the-democrats-said
http://www.memeorandum.com/250823/p52#a250823p52

Master Music Practise: A Holistic Guide for Musicians
https://pianodao.com/2025/07/21/effective-practice/?utm_source=flipboard&utm_content=muz4now/magazine/Piano & Piano Improv

Master Music Practise: A Holistic Guide for Musicians
Discover holistic strategies for effective music practice with Andrew's book, enhanced by valuable insights and reflective articles at Pianodao.

The 2025 outburst of IGR J17511-3057: timing and spectral insights from NICER and NuSTAR
A. Sanna (Universit\`a degli Studi di Cagliari), G. K. Jaisawal (National Space Institute, Technical University of Denmark), T. E. Strohmayer (NASA Goddard Space Flight Center), G. Illiano (INAF - Osservatorio Astronomico di Brera), A. Riggio (Universit\`a degli Studi di Cagliari), A. Papitto (INAF - Osservatorio Astronomico di Roma), T. Di Salvo (Universit\`a degli Studi di Palermo), L. Burderi (U…

The 2025 outburst of IGR J17511-3057: timing and spectral insights from NICER and NuSTAR
IGR J17511-3057 was observed in a new outburst phase starting in February 2025 and lasting at least nine days. We investigated the spectral and temporal properties of IGR J17511-3057, aiming to characterise its current status and highlight possible long-term evolution of its properties. We analysed the available NICER and NuSTAR observations performed during the latest outburst of the source. We updated the ephemerides of the neutron star and compared them to previous outbursts to investigate i…

Mechanistic Insights into Complete Methane Oxidation on Single-Atom Pd Supported by SSZ-13 Zeolite: A First-Principles Study
Anuroopa Behatha, Shalini Tomar, Hojin Jeong, Joon Hwan Choi, Seung-Cheol Lee, Satadeep Bhattacharjee
https://arxiv.org/abs/2509.15875

Mechanistic Insights into Complete Methane Oxidation on Single-Atom Pd Supported by SSZ-13 Zeolite: A First-Principles Study
Complete catalytic oxidation of methane is an effective strategy for greenhouse gas mitigation and clean energy conversion; yet, ensuring both high catalytic activity and stability with palladium-based catalysts remains a challenge. In the present work, we employed a theoretical investigation of methane oxidation over single-atom Pd supported on SSZ-13 zeolite using density functional theory calculations, combined with climbing-image nudged elastic band calculations to determine activation barr…

"Advanced Whale Communication Technology Could Reshape Conservation Efforts"
#Whales #Animals #Conservation

Advanced Whale Communication Technology Could Reshape Conservation Efforts | Happy Eco News
Whale communication technology is advancing rapidly as Project CETI works to translate sperm whale vocalizations in the Caribbean. This technology could transform animal rights law, prevent ship collisions, protect critical habitats, and provide insights into marine ecosystems, while challenging assumptions about the fundamental differences between humans and animals.

Modeling the JWST MIRI Counts, Insights Into the Source Properties and Role of Dust-Obscured AGN
Edgar P. Vidal, Anna Sajina, Amber R. Banks, Matthieu B\'ethermin, Carl Ferkinhoff, Andreea Petric, Alexandra Pope, Jianwei Lyu, Vivian U, L. Y. Aaron Yung, Pallavi Patil
https://arxiv.org/abs/2509.15331

Modeling the JWST MIRI Counts, Insights Into the Source Properties and Role of Dust-Obscured AGN
Understanding the co-evolution of galaxies and active galactic nuclei (AGN) requires accurate modeling of dust-obscured systems. Recent surveys using the Mid Infrared Instrument (MIRI) onboard the James Webb Space Telescope (JWST) have uncovered a large population of dust obscured AGN, challenging current theoretical frameworks. We present an updated version of the Simulated Infrared Extragalactic Dusty Sky (SIDES) simulation framework. Our updates include modified star-forming and starburst ga…

Search, Summarize, Analyze: Building Search Intelligence using Elasticsearch & AWS!
https://blog.someshwaran.me/intelligence-layer-with-es-fastapi-aws/

Search, Summarize, Analyze: Building Search Intelligence using Elasticsearch & AWS!
Build an intelligent search layer with Elasticsearch and AWS Bedrock Agents. Explore vector and semantic search, RAG, and hybrid approaches to turn raw data into workflows that can search, summarize, and analyze for real insights.

Industry Insights into Quantum Knowledge Needed for the Quantum Information Science and Engineering Workforce
A. R. Pina, Shams El-Adawy, H. J. Lewandowski, Benjamin M. Zwickl
https://arxiv.org/abs/2508.15039

Industry Insights into Quantum Knowledge Needed for the Quantum Information Science and Engineering Workforce
Quantum Information Science and Engineering (QISE) education and workforce development are top priorities at the national level in the US. This has included a push for academia to support the development of programs that will prepare students to enter the QISE workforce. As the field of QISE has grown rapidly in academia and industry, there is a need to better understand what quantum knowledge is needed for students to be ready for the workforce. We present preliminary findings on the level of …

A great open-source community is about more than just code — it's about people, too. A strong company culture fosters engagement and growth. At Berlin Buzzwords, Jessie de Groot and Marion Nehring discussed how values such as kindness, collaboration and developer experience influence companies and communities. Gain practical insights into fostering inclusion, engagement, and long-term impact.
Watch the full session: #bbuzz 2026: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

This applies to all of us #Researchers - why do we keep flying all around the world just to give (or watch) some talks that could have been given or watched online???
Yes, in-person conferences are slightly better for "networking"... but is this really worth destroying the planet?!
Quoting @…

Atomic-Scale Insights into the Switching Mechanisms of RRAM Devices
Md Tawsif Rahman Chowdhury, Alireza Moazzeni, Gozde Tutuncuoglu
https://arxiv.org/abs/2509.16512 https://

Atomic-Scale Insights into the Switching Mechanisms of RRAM Devices
The growing energy demands of information and communication technologies, driven by data-intensive computing and the von Neumann bottleneck, underscore the need for energy-efficient alternatives. Resistive random-access memory (RRAM) devices have emerged as promising candidates for beyond von Neumann computing paradigms, such as neuromorphic computing, offering voltage-history-dependent switching that mimics synaptic and neural behaviors. Atomic-scale mechanisms, such as defect-driven filament …

First successful #wero e-commerce transaction by #pay.nl #ideal
…

EPI Company | PAY.nl successfully processed first Wero e-commerce…
The European Payments Initiative (EPI) is an initiative backed by 16 European banks and financial services companies to offer Wero, an payment solution…

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
Ardian Selmonaj, Miroslav Strupl, Oleg Szehr, Alessandro Antonucci
https://arxiv.org/abs/2508.15652

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
To reliably deploy Multi-Agent Reinforcement Learning (MARL) systems, it is crucial to understand individual agent behaviors within a team. While prior work typically evaluates overall team performance based on explicit reward signals or learned value functions, it is unclear how to infer agent contributions in the absence of any value feedback. In this work, we investigate whether meaningful insights into agent behaviors can be extracted that are consistent with the underlying value functions,…

GLip: A Global-Local Integrated Progressive Framework for Robust Visual Speech Recognition
Tianyue Wang, Shuang Yang, Shiguang Shan, Xilin Chen
https://arxiv.org/abs/2509.16031 …

GLip: A Global-Local Integrated Progressive Framework for Robust Visual Speech Recognition
Visual speech recognition (VSR), also known as lip reading, is the task of recognizing speech from silent video. Despite significant advancements in VSR over recent decades, most existing methods pay limited attention to real-world visual challenges such as illumination variations, occlusions, blurring, and pose changes. To address these challenges, we propose GLip, a Global-Local Integrated Progressive framework designed for robust VSR. GLip is built upon two key insights: (i) learning an init…

3 Key Insights Every Raiders Fan Should Know for Week 3 https://www.si.com/nfl/raiders/las-vegas-maxx-crosby-jayden-daniels-pete-carroll-washington-commanders

The Cost Advantage of Virtual Machine Migrations: Empirical Insights into Amazon's EC2 Marketspace
Benedikt Pittl, Werner Mach, Erich Schikuta
https://arxiv.org/abs/2508.14883

The Cost Advantage of Virtual Machine Migrations: Empirical Insights into Amazon's EC2 Marketspace
In recent years, cloud providers have introduced novel approaches for trading virtual machines. For example, Virtustream introduced so-called muVMs to charge cloud computing resources while other providers such as Google, Microsoft, or Amazon re-invented their marketspaces. Today, the market leader Amazon runs six marketspaces for trading virtual machines. Consumers can purchase bundles of virtual machines, which are called cloud-portfolios, from multiple marketspaces and providers. An industry…

Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing
Ruilin Zhou, Jinglei Cheng, Yuhang Gan, Junyu Liu, Chen Qian
https://arxiv.org/abs/2508.15267

Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing
Efficiently mapping quantum programs onto Distributed quantum computing (DQC) are challenging, particularly when considering the heterogeneous quantum processing units (QPUs) with different structures. In this paper, we present a comprehensive compilation framework that addresses these challenges with three key insights: exploiting structural patterns within quantum circuits, using clustering for initial qubit placement, and adjusting qubit mapping with annealing algorithms. Experimental result…

Causal Fuzzing for Verifying Machine Unlearning
Anna Mazhar, Sainyam Galhotra
https://arxiv.org/abs/2509.16525 https://arxiv.org/pdf/2509.16525

Causal Fuzzing for Verifying Machine Unlearning
As machine learning models become increasingly embedded in decision-making systems, the ability to "unlearn" targeted data or features is crucial for enhancing model adaptability, fairness, and privacy in models which involves expensive training. To effectively guide machine unlearning, a thorough testing is essential. Existing methods for verification of machine unlearning provide limited insights, often failing in scenarios where the influence is indirect. In this work, we propose CAFÉ, a ne…

CM-line bundles and slope $\K$-semistability for big and nef line bundles along subschemes
Nathan Grieve
https://arxiv.org/abs/2509.17546 https://arxiv.org…

CM-line bundles and slope $\K$-semistability for big and nef line bundles along subschemes
We apply the theory of the Chow-Mumford line bundle as developed by Arezzo-et-al and build on earlier key insights of Paul and Tian (see \cite{Arezzo:DellaVedova:LaNave} and the references therein). In particular, we give an explicit intersection theoretic description of the Donaldson-Futaki $\K$-stability invariants that arise via deformation to the normal cones along subschemes and with respect to big and nef line bundles on projective varieties. In doing so we generalize to the case of big a…

Critical Points and Syzygies for Feynman Integrals
Ben Page, Qian Song
https://arxiv.org/abs/2509.17681 https://arxiv.org/pdf/2509.17681

Critical Points and Syzygies for Feynman Integrals
We investigate a novel theoretical structure underlying the computation of integration-by-parts relations between Feynman integrals via syzygy-based methods. Building on insights from intersection theory, we analyze the large-$ε$ limit of dimensional regularization on the maximal cut, showing that total derivatives vanish on the critical locus of the logarithm of the Baikov polynomial--the locus known to govern the number of master integrals. We introduce "critical syzygies" as a distinguished…

"The Art of a Good #Poster" by @… https://errantscience.com/blog/2…

Insights from Interviews with Teachers and Students on the Use of a Social Robot in Computer Science Class in Sixth Grade
Ann-Sophie Schenk, Stefan Schiffer, Heqiu Song
https://arxiv.org/abs/2508.12946

Insights from Interviews with Teachers and Students on the Use of a Social Robot in Computer Science Class in Sixth Grade
In this paper we report on first insights from interviews with teachers and students on using social robots in computer science class in sixth grade. Our focus is on learning about requirements and potential applications. We are particularly interested in getting both perspectives, the teachers' and the learners' view on how robots could be used and what features they should or should not have. Results show that teachers as well as students are very open to robots in the classroom. However, req…

Fundamental Mechanisms of Human Learning
Scott E. Allen, A. David Redish, Ren\'e F. Kizilcec
https://arxiv.org/abs/2509.17202 https://arxiv.org/pdf/250…

Fundamental Mechanisms of Human Learning
Learning underlies nearly all human behavior and is central to education and education reform. Although recent advances in neuroscience have revealed the fundamental structure of learning processes, these insights have yet to be integrated into research and practice. Specifically, neuroscience has found that decision-making is governed by a structured process of perception, action-selection, and execution, supported by multiple neural systems with distinct memory stores and learning mechanisms.…

Assessment of Power System Stability Considering Multiple Time-Scale Dynamics: Insights into Hopf Bifurcations in Presence of GFL and GFM IBRs
Luis David Pabon Ospina
https://arxiv.org/abs/2508.14677

Assessment of Power System Stability Considering Multiple Time-Scale Dynamics: Insights into Hopf Bifurcations in Presence of GFL and GFM IBRs
Real power systems exhibit dynamics that evolve across a wide range of time scales, from very fast to very slow phenomena. Historically, incorporating these wide-ranging dynamics into a single model has been impractical. As a result, power engineers rely on time-scale decomposition to simplify models. When fast phenomena are evaluated, slow dynamics are neglected (assumed stable), and vice versa. This paper challenges this paradigm by showing the importance of assessing power system stability w…

A very big thank you to everyone who participated in the Epistemic Justice Network workshop at the UKFIET Conference in Oxford. Your discussions enriched our insights which we will work on for broader dissemination.
The symbolism was not lost on me - discussing epistemic humility and epistemic justice in a room with an old portrait of the Bishop of Calcutta during colonial times and a new portrait of the leading professor, Prof Aditi Lahiri, born in (then) a newly independent Calcutta.…

That's TMI: The Meaningful Insights Podcast
Great Australian Pods Podcast Directory: #GreatAusPods

Interpretable Audio Editing Evaluation via Chain-of-Thought Difference-Commonality Reasoning with Multimodal LLMs
Yuhang Jia, Xu Zhang, Yang Chen, Hui Wang, Enzhi Wang, Yong Qin
https://arxiv.org/abs/2509.16975

Interpretable Audio Editing Evaluation via Chain-of-Thought Difference-Commonality Reasoning with Multimodal LLMs
Automatic mean opinion score (MOS) prediction provides a more perceptual alternative to objective metrics, offering deeper insights into the evaluated models. With the rapid progress of multimodal large language models (MLLMs), their enhanced perceptual and reasoning abilities enable more comprehensive and interpretable audio quality assessment. In this work, we tackle the challenging task of audio editing evaluation and propose the first natural language-based automated evaluation framework bu…

Autoregressive-Gaussian Mixture Models: Efficient Generative Modeling of WSS Signals
Kathrin Klein, Benedikt B\"ock, Nurettin Turan, Wolfgang Utschick
https://arxiv.org/abs/2509.17953

Autoregressive-Gaussian Mixture Models: Efficient Generative Modeling of WSS Signals
This work addresses the challenge of making generative models suitable for resource-constrained environments like mobile wireless communication systems. We propose a generative model that integrates Autoregressive (AR) parameterization into a Gaussian Mixture Model (GMM) for modeling Wide-Sense Stationary (WSS) processes. By exploiting model-based insights allowing for structural constraints, the approach significantly reduces parameters while maintaining high modeling accuracy. Channel estimat…

$i$MIND: Insightful Multi-subject Invariant Neural Decoding
Zixiang Yin, Jiarui Li, Zhengming Ding
https://arxiv.org/abs/2509.17313 https://arxiv.org/pdf/2…

$i$MIND: Insightful Multi-subject Invariant Neural Decoding
Decoding visual signals holds the tantalizing potential to unravel the complexities of cognition and perception. While recent studies have focused on reconstructing visual stimuli from neural recordings to bridge brain activity with visual imagery, existing methods offer limited insights into the underlying mechanisms of visual processing in the brain. To mitigate this gap, we present an \textit{i}nsightful \textbf{M}ulti-subject \textbf{I}nvariant \textbf{N}eural \textbf{D}ecoding ($i$MIND) mo…

Big-Data Insights on the Hebrew Bible and Ancient Texts https://networks.h-net.org/group/announcements/20129203/big-data-insights-hebrew-bible-and-ancient-texts

What drives kpc-scale outflows in Radio-Quiet AGN? Insights from a Polarimetric Study
Salmoli Ghosh (NCRA-TIFR), Preeti Kharb (NCRA-TIFR), Biny Sebastian (University of Manitoba, STScI), Jack Gallimore (Bucknell University), Alice Pasetto (IRyA-UNAM), Christopher P. O'Dea (University of Manitoba), Timothy Heckman (Johns Hopkins University), Stefi A. Baum (University of Manitoba)

What drives kpc-scale outflows in Radio-Quiet AGN? Insights from a Polarimetric Study
We present a review of our findings on the origin, drivers, nature, and impact of kiloparsec-scale radio emission in radio-quiet (RQ) AGN. Using radio polarimetric techniques, we probe the dynamics and magnetic (B-) field geometry of outflows in Seyfert and LINER galaxies. Multi-band data from the Karl G. Jansky Very Large Array (VLA) reveal how low-power jets interact with their environment. These interactions can slow down and disrupt the radio outflows while locally regulating star formation…

TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
Tiantian Yang, Zhiqian Chen
https://arxiv.org/abs/2509.16301

TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
Integration and analysis of multi-omics data provide valuable insights for cancer subtype classification. However, such data are inherently heterogeneous, high-dimensional, and exhibit complex intra- and inter-modality dependencies. Recent advances in graph neural networks (GNNs) offer powerful tools for modeling such structure. Yet, most existing methods rely on prior knowledge or predefined similarity networks to construct graphs, which are often undirected or unweighted, failing to capture t…

Dynamical Analysis of the HD 169142 Planet-Forming Disk: Twelve Years of High-Contrast Polarimetry
Miles Lucas, Michael Bottom, Ruobing Dong, Myriam Benisty, Mario Flock, Maria Vincent, Jonathan Williams, Kyohoon Ahn, Thayne Currie, Vincent Deo, Olivier Guyon, Tomoyuki Kudo, Lucinda Lilley, Julien Lozi, Maxwell Millar-Blanchaer, Barnaby Norris, Sebasti\'an P\'erez, Boris Safonov, Peter Tuthill, Taichi Uyama, S\'ebastien Vievard, Manxuan Zhang

Dynamical Analysis of the HD 169142 Planet-Forming Disk: Twelve Years of High-Contrast Polarimetry
We present a dynamical analysis of the HD 169142 planet-forming disk based on high-contrast polarimetric imaging over a twelve-year observational period, offering insights into its disk evolution and planet-disk interactions. This study explores the evolution of scattered-light features and their relationship with millimeter continuum emission. Archival visible-to-near-infrared scattered-light observations from NACO, SPHERE, and GPI combined with new observations from SCExAO reveal persistent n…

Replaced article(s) found for cs.NE. https://arxiv.org/list/cs.NE/new
[1/1]:
- Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized...
Shreya Saha, Ishaan Chadha, Meenakshi Khosla

Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov
https://arxiv.org/abs/2508.11978 https://

Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
Recent studies have demonstrated the potential of hyperbolic geometry for capturing complex patterns from interaction data in recommender systems. In this work, we introduce a novel hyperbolic recommendation model that uses geometrical insights to improve representation learning and increase computational stability at the same time. We reformulate the notion of hyperbolic distances to unlock additional representation capacity over conventional Euclidean space and learn more expressive user and …

Polynomial approximation from diffused data: unisolvence and stability
Ludovico Bruni Bruno, Stefano De Marchi, Giacomo Elefante
https://arxiv.org/abs/2509.15813 https://…

Polynomial approximation from diffused data: unisolvence and stability
In this work, we address the problem of polynomial interpolation of non-pointwise data. More specifically, we assume that our input information comes from measurements obtained on diffuse compact domains. Although the nodal and the diffused problems are related by the mean value theorem, such an approach does not provide any concrete insights in terms of well-posedness and stability. We hence develop a different framework in which {\it unisolvence} can be again recovered from nodal results, for…

Limited Improvement of Connectivity in Scale-Free Networks by Increasing the Power-Law Exponent
Yingzhou Mou, Yukio Hayashi
https://arxiv.org/abs/2509.17652 https://

Limited Improvement of Connectivity in Scale-Free Networks by Increasing the Power-Law Exponent
It has been well-known that many real networks are scale-free (SF) but extremely vulnerable against attacks. We investigate the robustness of connectivity and the lengths of the shortest loops in randomized SF networks with realistic exponents $2.0 < γ\leq 4.0$. We show that smaller variance of degree distributions leads to stronger robustness and longer average length of the shortest loops, which means the existing of large holes. These results will provide important insights toward enhancing…

Efficient and Accessible Discrete Choice Experiments: The DCEtool Package for R
Daniel P\'erez-Troncoso
https://arxiv.org/abs/2509.15326 https://arxiv.…

Efficient and Accessible Discrete Choice Experiments: The DCEtool Package for R
Discrete Choice Experiments (DCEs) are widely used to elicit preferences for products or services by analyzing choices among alternatives described by their attributes. The quality of the insights obtained from a DCE heavily depends on the properties of its experimental design. While early DCEs often relied on linear criteria such as orthogonality, these approaches were later found to be inappropriate for discrete choice models, which are inherently non-linear. As a result, statistically effici…

Microsecond-scale sucrose conformational dynamics in aqueous solution via molecular dynamics methods
Vladimir Deshchenya, Kirill Gerke, Nikolay Kondratyuk
https://arxiv.org/abs/2509.17959

Microsecond-scale sucrose conformational dynamics in aqueous solution via molecular dynamics methods
Molecular dynamics methods have proven their applicability for the reproduction and prediction of molecular conformations during the last decades. However, most of works considered dilute solutions and relatively short trajectories that limit insights into conformational dynamics. In this study, we investigate the conformational dynamics of sucrose in aqueous solution using microsecond-scale molecular dynamics simulations. For the most of the calculations we use the OPLS-AA/1.14*CM1A-LBCC force…

🦾 Robotic frames offer new insights into honeybee behavior and honey storage
#science

Robotic frames offer new insights into honeybee behavior and honey storage
EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.

Scientific mobility patterns of Indian researchers: Impact on career growth
Siraj TM, Harikrishnan S, Mathew Vincent, Sandeep Chowdhary, Chandrakala Meena
https://arxiv.org/abs/2509.18069

Scientific mobility patterns of Indian researchers: Impact on career growth
Scientific mobility shapes individual research careers and national innovation by enabling knowledge exchange, fostering collaborations, and providing access to leading research environments. Studying international mobility patterns of researchers from developing countries offers insights into strengthening domestic scientific ecosystems and addressing talent migration. We analyze the international mobility of India-affiliated researchers using longitudinal affiliation trajectories from the Ope…

An event visualization software based on Phoenix for the CEPC experiment
Yu-Jie Zeng, Tian-Zi Song, Xue-Sen Wang, Yu-Mei Zhang, Tao Lin, Zheng-Yun You
https://arxiv.org/abs/2509.17118

An event visualization software based on Phoenix for the CEPC experiment
In high-energy physics~(HEP) experiments, visualization software plays a pivotal role in detector design, offline software development, and event data analysis. The visualization tools integrate detailed detector geometry with complex event data models, providing the researchers with invaluable insights into experimental results. Phoenix is an emerging general-purpose visualization platform for the current and next-generation HEP experiments. In this study, we develop an event display software …

Two European incidents revealed last week -- an attack on a Norwegian dam by a Russia-friendly group known as Z-Pentest Alliance and a supposedly Russia-linked attack on a Polish city's water supply -- underscore that water utilities should intensify their focus on cybersecurity.
Check out my latest CSO piece. Thanks to former White House cyber official Jake Braun and ICS security specialist Ron Fabela for their insights.
Russia-linked European attacks renew concerns over wat…

Russia-linked European attacks renew concerns over water cybersecurity
Suspected sabotage in Norway and a foiled cyberattack in Poland highlight the growing risk to under-protected water utilities, experts warn.

I've expanded a bit on my reflections about #inaturalist's push for using LLMs to regurgitate user-generated insights - and why replacing human peer-to-peer learning is likely harmful to people's motivations.
Read it here: #citizenscience

Measuring the locations and properties of VHF sources emitted from an aircraft flying through high clouds
Olaf Scholten, Marten Lourens, Stijn Buitink, Steve Cummer, Joe Dwyer, Brian M. Hare, Tim Huege, Ningyu Liu, Katie Mulrey, Anna Nelles, Chris Sterpka, T. N. Gia Trinh, Paulina Turekova, Sander ter Veen
https://arxiv.org/abs/2509.16574

Measuring the locations and properties of VHF sources emitted from an aircraft flying through high clouds
We show that it is possible to locate the few places on the body of an airplane, while it is flying through high clouds, from which broad-band, pulsed, radiation is emitted at Very High Frequency (VHF) radio frequencies. This serendipitous discovery was made whilst imaging a lightning flash using the Low-Frequency Array (LOFAR). This observation provides insights into the way the airplane sheds the electrical charge it acquires when flying through clouds. Furthermore, this observation allowed u…

ELATE: Evolutionary Language model for Automated Time-series Engineering
Andrew Murray, Danial Dervovic, Michael Cashmore
https://arxiv.org/abs/2508.14667 https://

ELATE: Evolutionary Language model for Automated Time-series Engineering
Time-series prediction involves forecasting future values using machine learning models. Feature engineering, whereby existing features are transformed to make new ones, is critical for enhancing model performance, but is often manual and time-intensive. Existing automation attempts rely on exhaustive enumeration, which can be computationally costly and lacks domain-specific insights. We introduce ELATE (Evolutionary Language model for Automated Time-series Engineering), which leverages a langu…

Kuramoto Mean Field Game with Intrinsic Frequencies
Rene Carmona, Quentin Cormier, Mete Soner
https://arxiv.org/abs/2509.18000 https://arxiv.org/pdf/2509.1…

Kuramoto Mean Field Game with Intrinsic Frequencies
This paper studies a mean field game formulation of the classical Kuramoto model for synchronization. Our model captures the diversity within the population by considering random intrinsic frequencies, which allows us to study the impact of this heterogeneity on synchronization patterns and stability. Our findings contribute insights into the interplay between intrinsic frequency diversity and synchronization dynamics, offering a more realistic understanding of complex systems. The proposed fra…

Measurement of $^{3,4}$He($K^-, \pi^0$)$^{3,4}_\Lambda$H reaction cross section and evaluation of hypertriton binding energy
T. Akaishi, H. Asano, X. Chen, A. Clozza, C. Curceanu, R. Del Grande, C. D. Han, T. Hashimoto, M. Iliescu, K. Inoue, S. Ishimoto, K. Itahashi, M. Iwasaki, Y. Ma, R. Murayama, H. Noumi, H. Ohnishi, S. Okada, H. Outa, K. Piscicchia, A. Sakaguchi, F. Sakuma, M. Sato, A. Scordo, K. Shirotori, D. Sirghi, F. Sirghi, S. Suzuki, K. Tanida, T. Toda, T. Yamaga, X. Yuan, P.…

Measurement of $^{3,4}$He($K^-, π^0$)$^{3,4}_Λ$H reaction cross section and evaluation of hypertriton binding energy
Light $s$-shell hypernuclei ($^{3,4}_Λ\text{H}$) and their ground-state properties are crucial benchmarks in hypernuclear physics. In particular, comparing the production cross sections of $^{3}_Λ\text{H}$ and $^{4}_Λ\text{H}$ provides insights into the $ΛN$ interaction in different isospin configurations, which can help address recent discrepancies in the reported binding energy of hypertriton. We present the first measurement of the production cross sections for $^{3}_Λ\text{H}$ and $^{4…

🌟 New SIGs Spotlight: SIG-AI 🌟
A new space for collaboration on Artificial Intelligence within the NREN community is here.
SIG-AI brings the Research & Education community together to share expertise, best practices, and explore practical use cases of AI in NREN context—from cybersecurity and High-Performance Computing (HPC) to network automation and next-generation networks.
📖 For more insights, read the full interview with Leonie Schäfer (@…

You tweet about gatekeeping and #AI, and the next thing you know, you're obsolete. Maybe AI took his job? https://github.blog/news-insights/company-news/goodbye-github/

Auf Wiedersehen, GitHub ♥️
I am stepping down as GitHub CEO to build my next adventure. GitHub is thriving and has a bright future ahead.

Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems
Dashiel Carrera, Jeb Thomas-Mitchell, Daniel Wigdor
https://arxiv.org/abs/2509.15440

Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems
AI co-writing systems challenge long held ideals about agency and ownership in the creative process, thereby hindering widespread adoption. In order to address this, we investigate conceptions of agency and ownership in AI creative co-writing. Drawing on insights from a review of commercial systems, we developed three co-writing systems with identical functionality but distinct interface metaphors: agentic, tool-like, and magical. Through interviews with professional and non-professional writer…

How does the #brain transfer #MotorSkills between hands?
This study reveals that transfer relies on re-expressing the neural patterns established during initial learning in distributed higher-order brain areas,
offering new insights into learning

Transfer of motor learning is associated with patterns of activity in the default mode network
How does the brain transfer motor skills between hands? This study reveals that transfer relies on re-expressing the neural patterns established during initial learning in distributed higher-order brain areas, offering new insights into learning generalization.

Virtual Multiplex Staining for Histological Images using a Marker-wise Conditioned Diffusion Model
Hyun-Jic Oh, Junsik Kim, Zhiyi Shi, Yichen Wu, Yu-An Chen, Peter K. Sorger, Hanspeter Pfister, Won-Ki Jeong
https://arxiv.org/abs/2508.14681

Virtual Multiplex Staining for Histological Images using a Marker-wise Conditioned Diffusion Model
Multiplex imaging is revolutionizing pathology by enabling the simultaneous visualization of multiple biomarkers within tissue samples, providing molecular-level insights that traditional hematoxylin and eosin (H&E) staining cannot provide. However, the complexity and cost of multiplex data acquisition have hindered its widespread adoption. Additionally, most existing large repositories of H&E images lack corresponding multiplex images, limiting opportunities for multimodal analysis. To address…

A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
Suppapat Korsurat, Matthew D. Koslovsky
https://arxiv.org/abs/2508.14184 https://

A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
Microbiome research has immense potential for unlocking insights into human health and disease. A common goal in human microbiome research is identifying subgroups of individuals with similar microbial composition that may be linked to specific health states or environmental exposures. However, existing clustering methods are often not equipped to accommodate the complex structure of microbiome data and typically make limiting assumptions regarding the number of clusters in the data which can b…

Chemical enrichment of metal-poor stars orbiting massive black hole companions
Alejandra Rosselli-Calderon, Julia Stewart, Sijing Shen Sukanya Chakrabarti, Melinda Soares-Furtado, Enrico Ramirez-Ruiz
https://arxiv.org/abs/2508.14163

Chemical enrichment of metal-poor stars orbiting massive black hole companions
There are millions of undetected black holes wandering through our galaxy. Observatories like {\it Chandra}, LIGO, and more recently, {\it Gaia}, have provided valuable insights into the configurations of these elusive objects when residing in binary systems. Motivated by these advances, we study, for the first time, the enhanced accretion of metals from the interstellar medium (ISM) onto low-mass companions in binary systems with highly unequal mass ratios, utilizing a series of hydrodynamical…

Comparative Evaluation of Text and Audio Simplification: A Methodological Replication Study
Prosanta Barai, Gondy Leroy, Arif Ahmed
https://arxiv.org/abs/2508.15088 https://

Comparative Evaluation of Text and Audio Simplification: A Methodological Replication Study
This study serves as a methodological replication of Leroy et al. (2022) research, which investigated the impact of text simplification on healthcare information comprehension in the evolving multimedia landscape. Building upon the original studys insights, our replication study evaluates audio content, recognizing its increasing importance in disseminating healthcare information in the digital age. Specifically, we explored the influence of text simplification on perceived and actual difficult…

From Yale Youth Ministry Institute: Our October 1st event will aim to equip #faith communities with insights to more intentionally and effectively support the spiritual formation of young #children through the #caregivers

Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024
Eliot Kapit, Peter Love, Jeffrey Larson, Andrew Sornborger, Eleanor Crane, Alexander Schuckert, Teague Tomesh, Frederic Chong, Sabre Kais
https://arxiv.org/abs/2508.13973

Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024
The National Quantum Initiative Joint Algorithms Workshop brought together researchers across academia, national laboratories, and industry to assess the current landscape of quantum algorithms and discuss roadblocks to progress. The workshop featured discussions on emerging algorithmic techniques, resource constraints in near-term hardware, and opportunities for co-design across software and systems. Presented here are seven topics from the workshop, each highlighting a critical challenge or p…

Critical fantasy football insights for Week 2: Packers go deep, Kenneth Walker's scary 'stuff' https://www.nytimes.com/athletic/6499966/2025/09/09/critical-fantasy-football-insights-for-week-…

Radio Observations of a Candidate Redback Millisecond Pulsar: 1FGL J0523.5-2529
O. A. Johnson, E. F. Keane, D. J. McKenna, H. Qiu, S. J. Swihart, J. Strader, M. McLaughlin
https://arxiv.org/abs/2508.15435

Radio Observations of a Candidate Redback Millisecond Pulsar: 1FGL J0523.5-2529
Redback pulsars are a subclass of millisecond pulsar system with a low-mass non-degenerate companion star being ablated by the pulsar. They are of interest due to the insights they can provide for late-stage pulsar evolution during the recycling process. J0523.5-2529 is one such candidate where redback-like emission has been seen at multiple wavelengths except radio. It is a system with a binary orbit of 16.5 hours and a low-mass non-degenerate companion of approximately 0.8 solar masses. The a…

User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums
Mikhail Kulyabin, Jan Joosten, Choro Ulan uulu, Nuno Miguel Martins Pacheco, Fabian Ries, Filippos Petridis, Jan Bosch, Helena Holmstr\"om Olsson
https://arxiv.org/abs/2509.11777

User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums
Customer feedback in industrial forums reflect a rich but underexplored source of insight into real-world product experience. These publicly shared discussions offer an organic view of user expectations, frustrations, and success stories shaped by the specific contexts of use. Yet, harnessing this information for systematic analysis remains challenging due to the unstructured and domain-specific nature of the content. The lack of structure and specialized vocabulary makes it difficult for tradi…

Energy Extraction and Evolution of Regular Black Holes: The Case of Bardeen Spacetime
Vitalii Vertogradov, Angel Rincon
https://arxiv.org/abs/2508.14489 https://

Energy Extraction and Evolution of Regular Black Holes: The Case of Bardeen Spacetime
This paper examines regular black holes, in particular the Bardeen spacetime where singularities are replaced by non-singular cores. It explores the energy extraction through the charged Penrose process and shows that magnetic charge evaporation can drive a regular black hole towards a singularity. Two evaporation models are proposed, dealing with charge loss and combined charge evaporation with mass accretion, providing insights into the evolution and stability of regular black holes.

This includes his tech writing and code.
I don't care about tech insights and code of fascists and their supporters.
https://tldr.nettime.org/@tante/115213016785784099

An Initial Assessment of the Hanle Echelle Spectrograph for Exoplanet Atmosphere Studies
Manjunath Bestha, Athira Unni, T. Sivarani, Shivangi Menon, Parvathy M, Arun Surya, Pallavi Saraf, Devika Divakar, Lokesh Manickavasaham
https://arxiv.org/abs/2509.17142

An Initial Assessment of the Hanle Echelle Spectrograph for Exoplanet Atmosphere Studies
Transmission spectroscopy is an effective technique for probing exoplanetary atmospheres. While most observations have relied on space facilities such as HST and JWST, ground-based high-resolution transmission spectroscopy (HRTS) has also provided valuable insights by resolving individual atomic features. In this work, we present an initial performance assessment and feasibility test of the Hanle Echelle Spectrograph (HESP) on the 2 m Himalayan Chandra Telescope (HCT) for HRTS. As a benchmark, …

At this year's Berlin Buzzwords, Justin Mclean addressed common misconceptions, common compliance issues, and the evolution of policies to mitigate these challenges, and shared practical insights to ensure smoother project releases and foster a compliant, collaborative open source community.
Watch the full session: https://youtu.be/7u8Rn5cpQsY?si=TMmcTO031-TFyjEB
Berlin Buzzwords returns on 7-9 June 2026! Get 36% off with our Trust Us Ticket: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

Our brand-new institute brochure is here! 🌞🪐✨
Across 40 pages, you’ll find an overview of our research topics, methods, and infrastructure—plus insights into public events, training, and more.
Enjoy reading! Follow this link: https://www.mps.mpg.de/8480541/institute-brochure…

OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos
Miao Zhang, Yifei Zhu, Linfeng Shen, Fangxin Wang, Jiangchuan Liu
https://arxiv.org/abs/2508.14237 https:…

OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos
With the reduced hardware costs of omnidirectional cameras and the proliferation of various extended reality applications, more and more $360^\circ$ videos are being captured. To fully unleash their potential, advanced video analytics is expected to extract actionable insights and situational knowledge without blind spots from the videos. In this paper, we present OmniSense, a novel edge-assisted framework for online immersive video analytics. OmniSense achieves both low latency and high accura…

'Our research suggests large language models exhibit parahuman responses to persuasion techniques, despite not being human. This suggests that social scientists have a valuable role to play in understanding AI behavior.' https://gail.wharton.upenn.edu/researc

Call Me A Jerk: Persuading AI to Comply with Objectionable Requests

Very interesting. "Critical Weapons Development Lessons From Ukraine Are Not Being Learned By The West. An American defense investor in Ukraine offers exclusive insights on Kyiv's grassroots military buildup and the velocity of its weapons development."
https://www.

Critical Weapons Development Lessons From Ukraine Are Not Being Learned By The West
An American defense investor in Ukraine offers exclusive insights on Kyiv's grassroots military buildup and the velocity of its weapons development.

Global premium smartphone sales rose 8% YoY in H1 2025, reaching the highest-ever mark for an H1; Apple grew 3% YoY, capturing 62% of the overall sales (Varun Mishra/Counterpoint Research)
https://www.counterpointresearch.com/en/in…

Big-Data Insights on the Hebrew Bible and Ancient Texts
https://ift.tt/yGBoZsq
Prof. Ruth Halperin-Kaddari, LLM, JSD: "Recognition and Justice for Victims of Sexual Violence in…
via Input 4 RELCFP

🦠 Harnessing Microalgae and Cyanobacteria for Sustainable Agriculture: Mechanistic Insights and Applications as Biostimulants, Biofertilizers and Biocontrol Agents
#algae

Thinking in cocktail party: Chain-of-Thought and reinforcement learning for target speaker automatic speech recognition
Yiru Zhang, Hang Su, Lichun Fan, Zhenbo Luo, Jian Luan
https://arxiv.org/abs/2509.15612

Thinking in cocktail party: Chain-of-Thought and reinforcement learning for target speaker automatic speech recognition
Target Speaker Automatic Speech Recognition (TS-ASR) aims to transcribe the speech of a specified target speaker from multi-speaker mixtures in cocktail party scenarios. Recent advancement of Large Audio-Language Models (LALMs) has already brought some new insights to TS-ASR. However, significant room for optimization remains for the TS-ASR task within the LALMs architecture. While Chain of Thoughts (CoT) and Reinforcement Learning (RL) have proven effective in certain speech tasks, TS-ASR, whi…

Challenges of Virtual Validation and Verification for Automotive Functions
Beatriz Cabrero-Daniel, Mazen Mohamad
https://arxiv.org/abs/2508.14747 https://a…

Challenges of Virtual Validation and Verification for Automotive Functions
Verification and validation of vehicles is a complex yet critical process, particularly for ensuring safety and coverage through simulations. However, achieving realistic and useful simulations comes with significant challenges. To explore these challenges, we conducted a workshop with experts in the field, allowing them to brainstorm key obstacles. Following this, we distributed a survey to consolidate findings and gain further insights into potential solutions. The experts identified 17 key c…

Detection and characterisation of a 106-day transiting Jupiter : TOI-2449 b / NGTS-36 b
S. Ulmer-Moll, S. Gill, R. Brahm, A. Claringbold, M. Lendl, K. Al Moulla, D. Anderson, M. Battley, D. Bayliss, A. Bonfanti, F. Bouchy, C. Brice\~no, E. M. Bryant, M. R. Burleigh, K. A. Collins, A. Deline, X. Dumusque, J. Eberhardt, N. Espinoza, B. Falk, J. P. Faria, J. Fern\'andez Fern\'andez, P. Figueira, M. Fridlund, E. Furlan, M. R. Goad, R. F. Goeke, J. Hagelberg, F. Hawthorn, R. Helled,…

Detection and characterisation of a 106-day transiting Jupiter : TOI-2449 b / NGTS-36 b
Only a handful of transiting giant exoplanets with orbital periods longer than 100 days are known. These warm exoplanets are valuable objects as their radius and mass can be measured leading to an in-depth characterisation of the planet's properties. Thanks to low levels of stellar irradiation and large orbital distances, the atmospheric properties and orbital parameters of warm exoplanets remain relatively unaltered by their host star, giving new insights into planetary formation and evolution…

"Margaret Boden, a British philosopher and cognitive scientist who used the language of computers to explore the nature of thought and creativity, leading her to prescient insights about the possibilities and limitations of artificial intelligence, died on July 18."
https://www.nytimes.com/202…

Margaret Boden, Philosopher of Artificial Intelligence, Dies at 88
A cognitive scientist, she used the language of computers to explore the nature of human thought and creativity, offering prescient insights about A.I.

Connecting in Berlin with @… 🇩🇪
GÉANT team gained valuable insight into DFN’s 40 years of enabling science for 2.5M users, and met designated co-CEO Alina Hain ahead of her start in October.
Followed by discussions on DFN’s role as an #NREN & its vision for GÉAN…

Tracing {\omega}Centauri's origins: Spatial and chemical signatures of its formation history
E. Dondoglio, A. P. Milone, A. F. Marino, A. Mastrobuono-Battisti, E. Bortolan, M. V. Legnardi, T. Ziliotto, F. Muratore, G. Cordoni, E. P. Lagioia, M. Tailo
https://arxiv.org/abs/2509.16719

Tracing ωCentauri's origins: Spatial and chemical signatures of its formation history
ω}Centauri (ωCen) is the most enigmatic Galactic globular cluster (GC), with unmatched chemical complexity. We combine photometric and spectroscopic catalogs to identify its distinct stellar populations and to investigate their spatial distribution and chemical properties, uncovering new insights into the cluster's formation history. We identify the iron-poor stars commonly found in GCs: the first population (1P), with halo-like chemical composition, and the second population (2P), enriched i…

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Tianheng Ling, Vipin Singh, Chao Qian, Felix Biessmann, Gregor Schiele
https://arxiv.org/abs/2508.13905

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Extreme weather events, intensified by climate change, increasingly challenge aging combined sewer systems, raising the risk of untreated wastewater overflow. Accurate forecasting of sewer overflow basin filling levels can provide actionable insights for early intervention, helping mitigating uncontrolled discharge. In recent years, AI-based forecasting methods have offered scalable alternatives to traditional physics-based models, but their reliance on cloud computing limits their reliability …

Salesforce expands its partnerships with OpenAI and Anthropic to embed their AI models into Agentforce 360, including letting customers access it in ChatGPT (Larry Dignan/Constellation Research)
https://www.constellationr.com/blog-news/i

Salesforce expands OpenAI, Anthropic partnerships, eyes Agentforce everywhere
Salesforce expanded partnerships with OpenAI and Anthropic to embed their large language models into Agentforce 360. At Dreamforce 2025, Salesforce said it has expanded a partnership with OpenAI so customers can access Agentforce 360 in ChatGPT. Salesforce customers will be able to access sales records, review conversations and build Tableau visualizations from within ChatGPT.

Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics
Zhiwei Fan, Tiangang Wang, Kexin Huang, Binwu Ying, Xiaobo Zhou
https://arxiv.org/abs/2509.13376

Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics
Recent advances in spatial omics technologies have revolutionized our ability to study biological systems with unprecedented resolution. By preserving the spatial context of molecular measurements, these methods enable comprehensive mapping of cellular heterogeneity, tissue architecture, and dynamic biological processes in developmental biology, neuroscience, oncology, and evolutionary studies. This review highlights a systematic overview of the continuous advancements in both technology and co…

Brown Dwarf Formation Through Gravitational Collapse: Insights From 3D Numerical Simulations
Adnan Ali Ahmad, Beno\^it Commer\c{c}on, Gilles Chabrier, Antonin Borderies
https://arxiv.org/abs/2509.12336

Brown Dwarf Formation Through Gravitational Collapse: Insights From 3D Numerical Simulations
The formation mechanism of Brown Dwarfs (BDs), whether akin to stars or ejected planetary-mass objects, remains debated. We present the first 3D radiation-MHD simulations of magnetized, turbulent, gravitationally unstable low-mass cores ($0.05-0.1\ \mathrm{M_{\odot}}$) collapsing into proto-BDs. Using the {\ttfamily RAMSES} code with adaptive mesh refinement, we model the full dynamical range ($10^{5}~-10^{22}\ \mathrm{cm^{-3}}$), including radiative transfer (flux limited diffusion) and non-id…

Critical fantasy football insights for Week 7: The case for Sam Darnold, Tre Tucker and more https://www.nytimes.com/athletic/6713659/2025/10/14/fantasy-football-usage-week-7-darnold-tucker/

I forgot to post this earlier. If anyone is interested in Australian podcast listening stats, there was a webinar on the results of PodPoll25 this afternoon.
Here is a link if you'd like to see the results:
https://www.deadsetstudios.com/podpoll

PodPoll 25 survey report — Deadset Studios
Australia's most comprehensive survey, conducted in May 2025, offering detailed insights into the podcast listening habits of Australian audiences.

Can Big Black Holes Merge with the Smallest Black Holes?
Storm Colloms, Zoheyr Doctor, Christopher P L Berry
https://arxiv.org/abs/2508.14159 https://arxiv…

Can Big Black Holes Merge with the Smallest Black Holes?
Gravitational-wave measurements of the binary black hole population provide insights into the evolution of merging binaries. We explore potential correlation between mass and mass ratio with phenomenological population models where the minimum mass of the smaller (secondary) black hole can change with the mass of the bigger (primary) black hole. We use binary black hole signals from the third Gravitational-Wave Transient Catalog with and without the relatively extreme mass-ratio GW190814. When …

Towards the Next Generation of Software: Insights from Grey Literature on AI-Native Applications
Lingli Cao, Shanshan Li, Ying Fan, Danyang Li, Chenxing Zhong
https://arxiv.org/abs/2509.13144

Towards the Next Generation of Software: Insights from Grey Literature on AI-Native Applications
Background: The rapid advancement of large language models (LLMs) has given rise to AI-native applications, a new paradigm in software engineering that fundamentally redefines how software is designed, developed, and evolved. Despite their growing prominence, AI-native applications still lack a unified engineering definition and architectural blueprint, leaving practitioners without systematic guidance for system design, quality assurance, and technology selection. Objective: This study seeks…

At Dreamforce 2025, Salesforce unveils Agentforce 360, a unified agentic AI stack to connect humans, AI agents, and more, and positions Slack as an "agentic OS" (Larry Dignan/Constellation Research)
https://www.constellationr.com/blog-news/i

Salesforce makes its Agentforce 360 case to be your AI agent platform
Salesforce announced a series of product updates, a process intelligence acquisition and an Agentforce 360 architecture designed to make the case that it should orchestrate first and third party AI agents. At Dreamforce 2025, Salesforce looked to differentiate itself from what's becoming a crowded agentic AI platform space. The cloud giants are looking to go horizontal with stacks to build, deploy and optimize AI agents. SaaS vendors are expanding into managing AI agents beyond their verticals.…

Enhanced Sensitivity and Noise Resilience in Two-Qubit Quantum Magnetometers
S. Nohekhan Shishavan, K. Aghayar Gharehbagh, H. Sedgi Gamichi
https://arxiv.org/abs/2508.13400 http…

Enhanced Sensitivity and Noise Resilience in Two-Qubit Quantum Magnetometers
We present a novel two-qubit quantum magnetometer Hamiltonian optimized for enhanced sensitivity and noise resilience. Compared to existing models, our formulation offers advantages in accuracy, robustness against noise, and entanglement dynamics. Using analytical methods, we derive the Quantum Fisher Information (QFI) and the Signal-to-Noise Ratio (SNR), highlighting its practical viability for magnetic field sensing. Our approach bridges theoretical insights with real-world applicability. We …

Examining AGN UV/Optical Variability Beyond the Simple Damped Random Walk. II. Insights from 22 Years Observations of SDSS, PS1 and ZTF
Weixiang Yu, Gordon T. Richards, John J. Ruan, Michael S. Vogeley, Franz E. Bauer, Matthew J. Graham
https://arxiv.org/abs/2508.12076

Examining AGN UV/Optical Variability Beyond the Simple Damped Random Walk. II. Insights from 22 Years Observations of SDSS, PS1 and ZTF
A damped random walk (DRW) process is often used to describe the temporal UV/optical continuum variability of active galactic nuclei (AGN). However, recent investigations have shown that this model fails to capture the full spectrum of AGN variability. In this work, we model the 22-year-long light curves of $21,767$ quasars, spanning the redshift range $0.28 < z < 2.71$, as a noise-driven damped harmonic oscillator (DHO) process. The light curves, in the optical $g$ and $r$ bands, are collected…

Meta plans new Instagram teen safety tools in 2026, letting parents block teens from chatting with AI characters and sending them "insights" from teens' chats (Robert Hart/The Verge)
https://www.theverge.com/news/801505/meta-ai-chatbot-parental-…

Meta is adding more parental controls for teen AI use
Meta said it will let parents block teens from speaking with AI chatbots on Instagram or give them a summary of conversation topics, but not until next year. 

Cognitive scientist Margaret Boden, whose books helped shape the philosophical conversation about human intelligence and AI, passed away on July 18 at age 88 (Michael S. Rosenwald/New York Times)
https://www.nytimes.com/2025/08/14/science…

Margaret Boden, Philosopher of Artificial Intelligence, Dies at 88
A cognitive scientist, she used the language of computers to explore the nature of human thought and creativity, offering prescient insights about A.I.