Tootfinder

Study: Watching Fox News Actually Makes You Stupid
https://www.rollingstone.com/politics/politics-news/study-watching-fox-news-actually-makes-you-stupid-235770/

Deadly Nordic heat wave made 10 times worse by climate change: Study https://news.mongabay.com/short-article/2025/08/deadly-nordic-heat-wave-made-10-times-worse-by-climate-change-study/

Deadly Nordic heat wave made 10 times worse by climate change: Study
A deadly heat wave in July that left people and wildlife struggling in Norway, Sweden and Finland was made at least 10 times more likely because of human-induced climate change, a rapid analysis has found. Scientists from the World Weather Attribution (WWA), a global research network analyzing extreme weather events, said in their latest analysis […]

"Deforestation in the Philippines may have caused infertile hybrids of endemic frogs, study finds"
#Philippines #Frogs #Deforestation

Deforestation in the Philippines may have caused infertile hybrids of endemic frogs, study finds
In 1996, when herpetologist Rafe Brown accompanied a few biologists to the Philippine island of Mindanao to study frogs, they heard a cacophony near their campsite. In a puddle that skirted the forest, hundreds of chubby frogs with big, bright eyes had gathered, looking for mates to breed with. Brown said he remembers hearing two […]

“Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity”
https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
50 page PDF:

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Emotions in the archives: study scoops international award https://www.nationalarchives.gov.uk/about/news/emotions-in-the-archives-study-scoops-international-award/

Emotions in the archives: study scoops international award - The National Archives
The editors of a ground-breaking new study about emotions and archives which includes work by a researcher at The National Archives has won a prestigious award. Archives and Emotions: International Dialogues across Past, Present and Future won the Waldo Gifford Leland Award for excellent writing and usefulness for archivists. The study examines the role emotions […]

Alarming.
Nearly half of hospital toilet users skip handwashing, study says - BBC News
https://www.bbc.co.uk/news/articles/c5yl3v73p7zo

Nearly half of hospital toilet users skip handwashing, study says
One professor said the University of Surrey study findings were "worrying but not surprising".

What is the 'power of touch?' An NFL head coach believes it can help his team win https://www.nytimes.com/athletic/6641411/2025/09/19/liam-coen-jaguars-touch-study-nba-kevin-garnett/

In Shallow Water Ships Trigger Seafloor Methane Emissions, Study Finds - Slashdot
https://news.slashdot.org/story/25/07/19/1958211/in-shallow-water-ships-trigger-seafloor-methane-emissions-study-finds

🤬 Study documents unhealthy noise in Portland, provides research framework for other cities
https://medicalxpress.com/news/2025-07-documents-unhealthy-noise-portland-framework.html

Study documents unhealthy noise in Portland, provides research framework for other cities
A groundbreaking study led by Oregon State University scientists shows that multiple Portland neighborhoods have levels of noise that are likely unhealthy.

One of the comments lodged in my mind from 50-some years ago was that the toxicology studies we were basing product approvals on failed to consider interactions between multiple substances - and apparently not much has been done in that area
https://www.

One of the comments lodged in my mind from 50-some years ago was that the toxicology studies we were basing product approvals on failed to consider interactions between multiple substances - and apparently not much has been done in that area
https://www.

Google researchers say Android's early-warning system detected and issued alerts for 1,200 earthquakes since 2021, sometimes giving up to 15-60 seconds' notice (Kasha Patel/Washington Post)

Your Android phone is getting better at warning you about earthquakes
An early-warning system on Android phones has detected more than 1,000 earthquakes worldwide since 2021, sometimes giving people 15 to 60 seconds’ notice

"There’s this kind of secret language that rats are communicating in with each other that we don’t hear,”
says Emily Mackevicius,
a neuroscientist and a co-author of the study.
“They’re very social,” adds Ralph Peterson, another study co-author.
“They’re rugged, and they’re New Yorkers themselves: persistent and resilient and able to thrive in a very extreme environment.”

Tokenization Strategies for Low-Resource Agglutinative Languages in Word2Vec: Case Study on Turkish and Finnish
Jinfan Frank Hu
https://arxiv.org/abs/2509.14238 https://

Tokenization Strategies for Low-Resource Agglutinative Languages in Word2Vec: Case Study on Turkish and Finnish
Tokenization plays a critical role in processing agglutinative languages, where a single word can encode multiple morphemes carrying syntactic and semantic information. This study evaluates the impact of various tokenization strategies - word-level, character-level, n-gram, and Byte Pair Encoding (BPE) - on the quality of static word embeddings generated by Word2Vec for Turkish and Finnish. Using a 10,000-article Wikipedia corpus, we trained models under low-resource conditions and evaluated th…

"Une analyse approfondie des données sanitaires de plus de 1,2 million d'enfants danois nés sur une période de 24 ans n'a révélé aucun lien entre les faibles quantités d'aluminium contenues dans les vaccins et un large éventail de problèmes de santé, notamment l'asthme, les allergies, l'eczéma, l'autisme et le trouble déficitaire de l'attention avec hyperactivité (TDAH)."

What makes a study design quasi-experimental? The case of difference-in-differences
Audrey Renson, Daniel Westreich
https://arxiv.org/abs/2508.13945 https://

What makes a study design quasi-experimental? The case of difference-in-differences
Study designs classified as quasi- or natural experiments are typically accorded more face validity than observational study designs more broadly. However, there is ambiguity in the literature about what qualifies as a quasi-experiment. Here, we attempt to resolve this ambiguity by distinguishing two different ways of defining this term. One definition is based on identifying assumptions being uncontroversial, and the other is based on the ability to account for unobserved sources of confoundin…

Near as I can tell one thing LLMs are good at, it is encoding the status quo with all its flaws into a huge pile of coefficients, and then it gets rebranded as "intelligence". Awesome.
https://mstdn.social/@amydiehl/114887398749890246

Asymptotic Study of In-context Learning with Random Transformers through Equivalent Models
Samet Demir, Zafer Dogan
https://arxiv.org/abs/2509.15152 https://

Asymptotic Study of In-context Learning with Random Transformers through Equivalent Models
We study the in-context learning (ICL) capabilities of pretrained Transformers in the setting of nonlinear regression. Specifically, we focus on a random Transformer with a nonlinear MLP head where the first layer is randomly initialized and fixed while the second layer is trained. Furthermore, we consider an asymptotic regime where the context length, input dimension, hidden dimension, number of training tasks, and number of training samples jointly grow. In this setting, we show that the rand…

A Comparative Study of Delta Parquet, Iceberg, and Hudi for Automotive Data Engineering Use Cases
Dinesh Eswararaj, Ajay Babu Nellipudi, Vandana Kollati
https://arxiv.org/abs/2508.13396

A Comparative Study of Delta Parquet, Iceberg, and Hudi for Automotive Data Engineering Use Cases
The automotive industry generates vast amounts of data from sensors, telemetry, diagnostics, and real-time operations. Efficient data engineering is critical to handle challenges of latency, scalability, and consistency. Modern data lakehouse formats Delta Parquet, Apache Iceberg, and Apache Hudi offer features such as ACID transactions, schema enforcement, and real-time ingestion, combining the strengths of data lakes and warehouses to support complex use cases. This study presents a comparati…

New study: 60% of the world’s land area is in a precarious state, putting at risk the ability of the plant world to acquire enough energy through photosynthesis to maintain the material flows of carbon, water and nitrogen that support the ecosystems.
https://www.

60 percent of the world’s land area is in a precarious state
15.08.2025 – A new study maps the planetary boundary of “functional biosphere integrity” in spatial detail and over centuries. It finds that 60 percent of global land areas are now already outside the locally defined safe zone, and 38 percent are even in the high-risk zone. The study was led by the Potsdam Institute for Climate Impact Research (PIK) together with BOKU University in Vienna and published in the renowned journal One Earth.

System-driven Interactive Design Support for Cloud Architecture: A Qualitative User Experience Study with Novice Engineers
Ryosuke Kohita, Akira Kasuga
https://arxiv.org/abs/2508.12385

System-driven Interactive Design Support for Cloud Architecture: A Qualitative User Experience Study with Novice Engineers
Cloud architecture design presents significant challenges due to the necessity of clarifying ambiguous requirements and systematically addressing complex trade-offs, especially for novice engineers with limited cloud experience. While recent advances in the use of AI tools have broadened available options, system-driven approaches that offer explicit guidance and step-by-step information management may be especially effective in supporting novices during the design process. This study qualitati…

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
Sai Sanjna Chintakunta, Nathalia Nascimento, Everton Guimaraes
https://arxiv.org/abs/2508.11698 h…

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
In recent years, Large Language Models (LLMs) have emerged as transformative tools across numerous domains, impacting how professionals approach complex analytical tasks. This systematic mapping study comprehensively examines the application of LLMs throughout the Data Science lifecycle. By analyzing relevant papers from Scopus and IEEE databases, we identify and categorize the types of LLMs being applied, the specific stages and tasks of the data science process they address, and the methodolo…

» @… reported that in the aftermath of Charlie Kirk’s murder, Trump’s Justice Department deleted a study from its website stating that right-wing violence ›continues to outpace all other types of terrorism and domestic violent extremism‹ in the United States. This comes as the Trump administration and Republicans generally blame political violence solely o…

"Heatwaves caused more than 1,000 deaths in Australia over four-year period, study finds"
#Australia #Heatwave #Climate

BSN-II: The First Light Curve Study of Eight Total Eclipsing Contact Binary Stars with Shallow Fillout Factors
Atila Poro, Kai Li, Raul Michel, Li-Heng Wang, Fahri Alicavus, Morgan Rhai N\'ajera, Priscila Santill\'an-Ortega, Francisco Javier Tamayo, Hector Aceves
https://arxiv.org/abs/2508.11901

BSN-II: The First Light Curve Study of Eight Total Eclipsing Contact Binary Stars with Shallow Fillout Factors
This study provides the first comprehensive analysis of eight total-eclipse W Ursae Majoris-type contact binary systems. Ground-based photometric multiband observations were conducted at a Mexican observatory, and new times of minima were extracted. The O-C analysis reveals that four of our target binaries exhibit a long-term increase in their orbital periods, while the others show a long-term decrease in their orbital periods. We analyzed the light curves using the PHOEBE Python code and BSN a…

QCD Sum Rule Study of the Tensor $\Delta^0\Delta^0$ Dibaryon State
M. Ahmadi, H. Mohseni, K. Azizi
https://arxiv.org/abs/2508.12105 https://arxiv.org/pdf/2…

QCD Sum Rule Study of the Tensor $Δ^0Δ^0$ Dibaryon State
We study the exotic $Δ^{0}Δ^{0}$ dibaryon state with quantum numbers $J^{P} = 2^{+}$ within the framework of QCD sum rules. A tensor interpolating current is constructed to determine the mass and residue of this state, including explicit calculations of contributions from quark, gluon, and mixed vacuum condensates up to dimension nine. The numerical analysis yields a mass of $m_{Δ^{0}Δ^{0}} = 2426^{+101}_{-108}~\mathrm{MeV}$ and a residue of $f_{Δ^{0}Δ^{0}} = \left( 2.30^{+0.49}_{-0.45} \…

Has GPT-5 Achieved Spatial Intelligence? An Empirical Study
Zhongang Cai, Yubo Wang, Qingping Sun, Ruisi Wang, Chenyang Gu, Wanqi Yin, Zhiqian Lin, Zhitao Yang, Chen Wei, Xuanke Shi, Kewang Deng, Xiaoyang Han, Zukai Chen, Jiaqi Li, Xiangyu Fan, Hanming Deng, Lewei Lu, Bo Li, Ziwei Liu, Quan Wang, Dahua Lin, Lei Yang
https://arxiv.org/abs/2…

Has GPT-5 Achieved Spatial Intelligence? An Empirical Study
Multi-modal models have achieved remarkable progress in recent years. Nevertheless, they continue to exhibit notable limitations in spatial understanding and reasoning, which are fundamental capabilities to achieving artificial general intelligence. With the recent release of GPT-5, allegedly the most powerful AI model to date, it is timely to examine where the leading models stand on the path toward spatial intelligence. First, we propose a comprehensive taxonomy of spatial tasks that unifies …

Do Large Language Model Agents Exhibit a Survival Instinct? An Empirical Study in a Sugarscape-Style Simulation
Atsushi Masumori, Takashi Ikegami
https://arxiv.org/abs/2508.12920

Do Large Language Model Agents Exhibit a Survival Instinct? An Empirical Study in a Sugarscape-Style Simulation
As AI systems become increasingly autonomous, understanding emergent survival behaviors becomes crucial for safe deployment. We investigate whether large language model (LLM) agents display survival instincts without explicit programming in a Sugarscape-style simulation. Agents consume energy, die at zero, and may gather resources, share, attack, or reproduce. Results show agents spontaneously reproduced and shared resources when abundant. However, aggressive behaviors--killing other agents for…

Study of an Isolated Double-pulse Cosmic Ray Candidate Recorded with the Askaryan Radio Array
Shoukat Ali, Dave Z. Besson for ARA Collaboration
https://arxiv.org/abs/2509.14407 …

Study of an Isolated Double-pulse Cosmic Ray Candidate Recorded with the Askaryan Radio Array
The radio-frequency emissions produced by particle showers on Earth, resulting from cosmic rays (CRs) and ultra-high energy neutrinos (UHE-$ν$) originating from astrophysical sources share significant similarities, enabling radio detectors initially designed for UHE-$ν$ searches to also study CRs. The Askaryan Radio Array (ARA), an experiment currently operating within the ice at the South Pole, is primarily designed to detect UHE-$ν$s. To date, ARA has deployed five stations, with each stat…

Refinement-Types Driven Development: A study
Facundo Dom\'inguez, Arnaud Spiwack
https://arxiv.org/abs/2509.15005 https://arxiv.org/pdf/2509.15005

Refinement-Types Driven Development: A study
This paper advocates for the broader application of SMT solvers in everyday programming, challenging the conventional wisdom that these tools are solely for formal methods and verification. We claim that SMT solvers, when seamlessly integrated into a compiler's static checks, significantly enhance the capabilities of ordinary type checkers in program composition. Specifically, we argue that refinement types, as embodied by Liquid Haskell, enable the use of SMT solvers in mundane programming tas…

Fast and Optimal Incremental Parametric Procedure for the Densest Subgraph Problem: An Experimental Study
Dorit S. Hochbaum, Ayleen Irribarra-Cort\'es, Olivier Goldschmidt, Roberto As\'in-Ach\'a
https://arxiv.org/abs/2509.14993

Fast and Optimal Incremental Parametric Procedure for the Densest Subgraph Problem: An Experimental Study
The Densest Subgraph Problem (DSP) is widely used to identify community structures and patterns in networks such as bioinformatics and social networks. While solvable in polynomial time, traditional exact algorithms face computational and scalability limitations, leading to the adoption of faster, but non-optimal, heuristic methods. This work presents the first experimental study of the recently devised Incremental Parametric Cut (IPC) algorithm, which is an exact method for DSP and other "mono…

Influence Prediction in Collaboration Networks: An Empirical Study on arXiv
Marina Lin, Laura P. Schaposnik, Raina Wu
https://arxiv.org/abs/2508.13029 https://

Influence Prediction in Collaboration Networks: An Empirical Study on arXiv
This paper provides an empirical study of the Social Sphere Model for influence prediction, previously introduced by the authors, combining link prediction with top-k centrality-based selection. We apply the model to the temporal arXiv General Relativity and Quantum Cosmology collaboration network, evaluating its performance under varying edge sampling rates and prediction horizons to reflect different levels of initial data completeness and network evolution. Accuracy is assessed using mean sq…

JWST Spectroscopy of (142) Polana - Connection to NEAs (101955) Bennu and (162173) Ryugu: #Bennu and #Ryugu are part of the Polana family: #asteroids

Predictive Performance of LSTM Networks on Sectoral Stocks in an Emerging Market: A Case Study of the Pakistan Stock Exchange
Ahad Yaqoob, Syed M. Abdullah
https://arxiv.org/abs/2509.14401

Predictive Performance of LSTM Networks on Sectoral Stocks in an Emerging Market: A Case Study of the Pakistan Stock Exchange
The application of deep learning models for stock price forecasting in emerging markets remains underexplored despite their potential to capture complex temporal dependencies. This study develops and evaluates a Long Short-Term Memory (LSTM) network model for predicting the closing prices of ten major stocks across diverse sectors of the Pakistan Stock Exchange (PSX). Utilizing historical OHLCV data and an extensive set of engineered technical indicators, we trained and validated the model on a…

Conflicting Scores, Confusing Signals: An Empirical Study of Vulnerability Scoring Systems
Viktoria Koscinski, Mark Nelson, Ahmet Okutan, Robert Falso, Mehdi Mirakhorli
https://arxiv.org/abs/2508.13644

Conflicting Scores, Confusing Signals: An Empirical Study of Vulnerability Scoring Systems
Accurately assessing software vulnerabilities is essential for effective prioritization and remediation. While various scoring systems exist to support this task, their differing goals, methodologies and outputs often lead to inconsistent prioritization decisions. This work provides the first large-scale, outcome-linked empirical comparison of four publicly available vulnerability scoring systems: the Common Vulnerability Scoring System (CVSS), the Stakeholder-Specific Vulnerability Categorizat…

A Quantum Analogue of the Pfaffian-Determinant Identity, An Algebraic and Geometric Study in the q-Skew-Symmetric Case
Hani Safadi
https://arxiv.org/abs/2508.11634 https://

A Quantum Analogue of the Pfaffian-Determinant Identity, An Algebraic and Geometric Study in the q-Skew-Symmetric Case
This paper explores a quantum deformation of the classical identity Pf(A)^2 = det(A) for 2n by 2n skew-symmetric matrices A, which classically relates the square of the Pfaffian to the determinant. In the quantum setting, we study matrices whose entries lie in a noncommutative algebra and satisfy the q-skew-symmetry relations a_ji = -q times a_ij and a_ii = 0, where q is a nonzero complex parameter. This deformation introduces new algebraic structures and challenges in defining quantum analogue…

From fields to fuel: analyzing the global economic and emissions potential of agricultural pellets, informed by a case study
Sebastian G. Nosenzo, Rafael Kelman
https://arxiv.org/abs/2508.12457

From fields to fuel: analyzing the global economic and emissions potential of agricultural pellets, informed by a case study
Agricultural residues represent a vast, underutilized resource for renewable energy. This study combines empirical analysis from 179 countries with a case study of a pelletization facility to evaluate the global potential of agricultural pelletization for fossil fuel replacement. The findings estimate a technical availability of 1.44 billion tons of crop residues suitable for pellet production, translating to a 4.5% potential displacement of global fossil fuel energy use, equating to 22 million…

That’s a really hard problem, and not one that will be solved in my ad hoc Saturday posts (or in my replies). I have no answers. I do however have one model to study, which is this org my dad helped found:
https://www.wildernessalliance.org
They help people set up local wilderness stewardship volunteer groups. (There’s a wilderness area near you! You want to help take care of it! How do you do that? What is actually helpful?? What are models and best practices??? Where do you even start????)
8/

karate: Zachary Karate Club
Network of friendships among members of a university karate club. Includes metadata for faction membership after a social partition. Note: there are two versions of this network, one with 77 edges and one with 78, due to an ambiguous typo in the original study. (The most commonly used is the one with 78 edges.).
This network has 34 nodes and 77 edges.
Tags: Social, Offline, Unweighted

study from Berlin: rent control made tenants more likely to approve of construction in their neighborhoods (and of immigration)!
https://www.journals.uchicago.edu/doi/10.1086/738581

Cost-Performance Analysis: A Comparative Study of CPU-Based Serverless and GPU-Based Training Architectures
Amine Barrak, Fabio Petrillo, Fehmi Jaafar
https://arxiv.org/abs/2509.14920

Cost-Performance Analysis: A Comparative Study of CPU-Based Serverless and GPU-Based Training Architectures
The field of distributed machine learning (ML) faces increasing demands for scalable and cost-effective training solutions, particularly in the context of large, complex models. Serverless computing has emerged as a promising paradigm to address these challenges by offering dynamic scalability and resource-efficient execution. Building upon our previous work, which introduced the Serverless Peer Integrated for Robust Training (SPIRT) architecture, this paper presents a comparative analysis of s…

Good point.
EU study warns over the shortcomings of AI benchmarking. Paper by EU researchers highlights problems with how AI models are currently measured and urges regulators to signal which benchmarks are trustworthy
"Measuring AI capabilities and risks is a challenge, and benchmarks have been found to promise too much, be easily gamed, and measure the wrong thing"

A look at the video podcasting surge; study: ~75% of podcast consumers play video episodes and ~30% play video episodes minimized or in background mode (Joseph Bernstein/New York Times)
https://www.nytimes.com/2025/07/20/style/p

Popular Podcasts Like Joe Rogan and Theo Von Are All Video Now. Who Is Watching?
An audio-only medium spawned a giant industry that is now largely focused on video.

Click, Watch, Learn: The Impact of Student Self-Study Materials on Physics E&M Course Outcomes
James K. Hirons, Jonathan D. Perry, Dawson T. Nodurft, Scott Crawford, William Bassichis, Tatiana L. Erukhimova
https://arxiv.org/abs/2508.12143

Click, Watch, Learn: The Impact of Student Self-Study Materials on Physics E&M Course Outcomes
Performance in introductory courses, particularly physics, is often crucial for student success in STEM majors and can impact an individual's tendency to persist in their chosen field. To enhance students' individual learning experiences, faculty at many universities have worked to develop open-access, self-study materials to help build conceptual understanding and problem-solving skills. Faculty at Texas A&M University have contributed to these efforts, creating more than 200 online video reso…

"Fear and loathing on study section: Reviewing grant proposals while the system is burning"
https://www.thetransmitter.org/craft-and-careers/fear-and-loathing-on-study-section-reviewing-grant-proposals-wh…

Fear and loathing on study section: Reviewing grant proposals while the system is burning
As grants are canceled, delayed and subject to general uncertainty, participating in study sections can feel futile. But it’s more important than ever.

Can Large Language Models (LLMs) Describe Pictures Like Children? A Comparative Corpus Study
Hanna Woloszyn, Benjamin Gagl
https://arxiv.org/abs/2508.13769 https://

Can Large Language Models (LLMs) Describe Pictures Like Children? A Comparative Corpus Study
The role of large language models (LLMs) in education is increasing, yet little attention has been paid to whether LLM-generated text resembles child language. This study evaluates how LLMs replicate child-like language by comparing LLM-generated texts to a collection of German children's descriptions of picture stories. We generated two LLM-based corpora using the same picture stories and two prompt types: zero-shot and few-shot prompts specifying a general age from the children corpus. We con…

Improved Constructions and Lower Bounds for Maximally Recoverable Grid Codes
Joshua Brakensiek, Manik Dhar, Sivakanth Gopi
https://arxiv.org/abs/2509.15013 https://

Improved Constructions and Lower Bounds for Maximally Recoverable Grid Codes
In this paper, we continue the study of Maximally Recoverable (MR) Grid Codes initiated by Gopalan et al. [SODA 2017]. More precisely, we study codes over an $m \times n$ grid topology with one parity check per row and column of the grid along with $h \ge 1$ global parity checks. Previous works have largely focused on the setting in which $m = n$, where explicit constructions require field size which is exponential in $n$. Motivated by practical applications, we consider the regime in which $m,…

New Study Shows Google Tracking Persists Even With Privacy Tools
A new SafetyDetectives study reveals the surprising extent of Google tracking across the web in the US, UK, Switzerland, and Sweden. Discover how Google Analytics, AdSense, and YouTube embeds collect your data, even when using DuckDuckGo.
🕵️ https:…

New Study Shows Google Tracking Persists Even With Privacy Tools
Follow us on Bluesky, Twitter (X), Mastodon and Facebook at @Hackread

On the distribution of the total number of generators of $h$-free and $h$-full elements in an abelian monoid
Sourabhashis Das, Wentang Kuo, Yu-Ru Liu
https://arxiv.org/abs/2508.12648

On the distribution of the total number of generators of $h$-free and $h$-full elements in an abelian monoid
Let $\mathfrak{m}$ be an element of an abelian monoid, with $Ω(\mathfrak{m})$ denoting the total number of prime elements generating $\mathfrak{m}$. We study the moments of $Ω(\mathfrak{m})$ over subsets of $h$-free and $h$-full elements, establishing the normal order of $Ω(\mathfrak{m})$ within these subsets. This work continues the study on the distribution of generalized arithmetic functions over $h$-free and $h$-full elements in abelian monoids as introduced in the authors' previous work.

A tapestry of gravitational waveforms to study black hole mergers
Zack Carson
https://arxiv.org/abs/2508.13321 https://arxiv.org/pdf/2508.13321

A tapestry of gravitational waveforms to study black hole mergers
A novel approach to binary black hole gravitational wave analysis improves the process of inferring black hole properties by selecting the most accurate waveform model for each region of the parameter space, resulting in tighter constraints and 30% lower computational costs.

"Restored wetlands reap benefits for climate, drought-resilience after just one year, study shows"
#Wetlands #Climate #ClimateChange

Restored wetlands reap benefits for climate, drought-resilience after just one year, study shows
Reviving floodplain wetlands slashes carbon emissions by 39% and restores critical ecosystem functions in one year—without the methane spike typically seen in restored peatlands, a new study has found.

A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning
Evangelos Tsiatsianas, Chairi Kiourt, Konstantinos Chatzilygeroudis
https://arxiv.org/abs/2508.11520

A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning
Automatically generating agile whole-body motions for legged and humanoid robots remains a fundamental challenge in robotics. While numerous trajectory optimization approaches have been proposed, there is no clear guideline on how the choice of floating-base space parameterization affects performance, especially for agile behaviors involving complex contact dynamics. In this paper, we present a comparative study of different parameterizations for direct transcription-based trajectory optimizati…

DOJ Quietly Deletes Study on Politics of Domestic Terrorists (Malcolm Ferguson/New Republic)
https://newrepublic.com/post/200537/justice-department-deletes-study-politics-domestic-terrorists-right-wing
http://www.memeorandum.com/250917/p5#a250917p5

#Animals #Health Pets Appear to Slow Cognitive Decline in Older People Who Live Alone

Pets Appear to Slow Cognitive Decline in Older People Who Live Alone
Owning a pet could protect against the mental decline that can foreshadow dementia in older folks living alone, a study of nearly 8,000 people has found.

Environ 1500 des 2300 décès dus Š la chaleur lors de la canicule qui a frappé l'Europe Š la fin du mois de juin peuvent être attribués au changement climatique, selon l'analyse de la World Weather Attribution publiée par le Guardian.
#climat #changementclimatique

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
Miku Watanabe, Hao Li, Yutaro Kashiwa, Brittany Reid, Hajimu Iida, Ahmed E. Hassan
https://arxiv.org/abs/2509.14745

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
Large language models (LLMs) are increasingly being integrated into software development processes. The ability to generate code and submit pull requests with minimal human intervention, through the use of autonomous AI agents, is poised to become a standard practice. However, little is known about the practical usefulness of these pull requests and the extent to which their contributions are accepted in real-world projects. In this paper, we empirically study 567 GitHub pull requests (PRs) gen…

Comparative study of magnetic exchange parameters and magnon dispersions in NiO and MnO from first principles
Flaviano Jos\'e dos Santos, Luca Binci, Guido Menichetti, Ruchika Mahajan, Nicola Marzari, Iurii Timrov
https://arxiv.org/abs/2508.12153

Comparative study of magnetic exchange parameters and magnon dispersions in NiO and MnO from first principles
Spin-wave excitations are fundamental to understanding the behavior of magnetic materials and hold promise for future information and communication technologies. Yet, modeling these accurately in transition-metal compounds remains challenging, starting from the self-interaction errors affecting localized and partially filled $d$-orbitals in density-functional theory (DFT) with (semi-)local functionals. In this work, we compare three advanced first-principles approaches for computing magnetic ex…

Relationship Between Leisure Activities, Stress Management Methods, Study Methods, and Methods of Learning New Things Among First-Year Statistics Students
Thiyanga S. Talagala
https://arxiv.org/abs/2508.11726

Relationship Between Leisure Activities, Stress Management Methods, Study Methods, and Methods of Learning New Things Among First-Year Statistics Students
The interplay between leisure activities, stress management methods, studying methods, and methods of learning new things is crucial and affects performance in all aspects of life. On the other hand, data science and statistics are rapidly growing fields with high demands across universities. Thus, this study aimed to identify the similarities and dissimilarities between the four dimensions: leisure activities, stress management methods, studying methods and methods of learning new things. The …

The US justice department has scrubbed a study from its website concluding that far-rightextremists have killed far more Americans than any other domestic terrorist group
The report, now archived, titled
What NIJ Research Tells Us About Domestic Terrorism,
vanished from the Department of Justice website between 11 and 12 September,
according to Jason Paladino, an independent investigative reporter who first wrote the story.
The vanished study opened with: “Sinc…

Study of Heavy Quarkonia Melting in QGP Using Deep Neural Networks
Mohammad Yousuf Jamal, Fu-Peng Li, Long-Gang Pang, Guang-You Qin
https://arxiv.org/abs/2509.14970 https://

Study of Heavy Quarkonia Melting in QGP Using Deep Neural Networks
Machine learning techniques have emerged as powerful tools for tackling non-perturbative challenges in quantum chromodynamics. In this study, we introduce a data-driven framework employing deep neural networks to systematically predict the temperature-dependent behavior of the screening mass $m_D(T)$ and the strong coupling constant $α_s(T)$ within a quark-gluon plasma medium. These medium-sensitive quantities are subsequently employed to compute the thermal widths $Γ_{\text{n}}(T)$ and bindi…

Knowledge Graph Completion for Action Prediction on Situational Graphs -- A Case Study on Household Tasks
Mariam Arustashvili, J\"org Deigm\"oller, Heiko Paulheim
https://arxiv.org/abs/2508.13675

Knowledge Graph Completion for Action Prediction on Situational Graphs -- A Case Study on Household Tasks
Knowledge Graphs are used for various purposes, including business applications, biomedical analyses, or digital twins in industry 4.0. In this paper, we investigate knowledge graphs describing household actions, which are beneficial for controlling household robots and analyzing video footage. In the latter case, the information extracted from videos is notoriously incomplete, and completing the knowledge graph for enhancing the situational picture is essential. In this paper, we show that, wh…

A look at the video podcasting surge; study: ~75% of podcast consumers play video episodes and ~30% play video episodes minimized or in background mode (Joseph Bernstein/New York Times)
https://www.nytimes.com/2025/07/20/style/p

Popular Podcasts Like Joe Rogan and Theo Von Are All Video Now. Who Is Watching?
An audio-only medium spawned a giant industry that is now largely focused on video.

A multiwavelength study of the new Galactic center black hole candidate MAXI J1744-294
Shifra Mandel (Columbia Astrophysics Laboratory), Kaya Mori (Columbia Astrophysics Laboratory), Anna Ciurlo (UCLA Department of Physics and Astronomy), Paul A. Draghis (MIT Kavli Institute for Astrophysics and Space Research), Noa Grollimund (Universit\'e Paris Cit\'e, Universit\'e Paris-Saclay), Gaurava K. Jaisawal (DTU Space, Technical University of Denmark), Chichuan Jin (National Astr…

A multiwavelength study of the new Galactic center black hole candidate MAXI J1744-294
For the first time in nearly a decade, a new, bright transient was detected in the central parsec (pc) of the Galaxy. MAXI J1744-294 was never observed in outburst prior to January 2025. We present the results of a broadband, multi-wavelength study of this enigmatic source, including data from the NuSTAR, Chandra, XMM-Newton, Swift, and NICER X-ray telescopes, as well as complementary radio and near-infrared observations. We find that MAXI J1744-294 remained in the bright/soft state throughout …

Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease
Jisoo Lee, Michael R. Harowicz, Yuwen Chen, Hanxue Gu, Isaac S. Alderete, Lin Li, Maciej A. Mazurowski, Matthew G. Hartwig
https://arxiv.org/abs/2509.15083

Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease
This study evaluates publicly available deep-learning based lung segmentation models in transplant-eligible patients to determine their performance across disease severity levels, pathology categories, and lung sides, and to identify limitations impacting their use in preoperative planning in lung transplantation. This retrospective study included 32 patients who underwent chest CT scans at Duke University Health System between 2017 and 2019 (total of 3,645 2D axial slices). Patients with stand…

Early Approaches to Adversarial Fine-Tuning for Prompt Injection Defense: A 2022 Study of GPT-3 and Contemporary Models
Gustavo Sandoval, Denys Fenchenko, Junyao Chen
https://arxiv.org/abs/2509.14271

Early Approaches to Adversarial Fine-Tuning for Prompt Injection Defense: A 2022 Study of GPT-3 and Contemporary Models
This paper documents early research conducted in 2022 on defending against prompt injection attacks in large language models, providing historical context for the evolution of this critical security domain. This research focuses on two adversarial attacks against Large Language Models (LLMs): prompt injection and goal hijacking. We examine how to construct these attacks, test them on various LLMs, and compare their effectiveness. We propose and evaluate a novel defense technique called Adversar…

Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression
Yigit E. Yildirim, Samet Demir, Zafer Dogan
https://arxiv.org/abs/2509.15141

Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression
Empirical Risk Minimization (ERM) is a foundational framework for supervised learning but primarily optimizes average-case performance, often neglecting fairness and robustness considerations. Tilted Empirical Risk Minimization (TERM) extends ERM by introducing an exponential tilt hyperparameter $t$ to balance average-case accuracy with worst-case fairness and robustness. However, in online or streaming settings where data arrive one sample at a time, the classical TERM objective degenerates to…

Organization Matters: A Qualitative Study of Organizational Dynamics in Red Teaming Practices For Generative AI
Bixuan Ren, EunJeong Cheon, Jianghui Li
https://arxiv.org/abs/2508.12504

Organization Matters: A Qualitative Study of Organizational Dynamics in Red Teaming Practices For Generative AI
The rapid integration of generative artificial intelligence (GenAI) across diverse fields underscores the critical need for red teaming efforts to proactively identify and mitigate associated risks. While previous research primarily addresses technical aspects, this paper highlights organizational factors that hinder the effectiveness of red teaming in real-world settings. Through qualitative analysis of 15 semi-structured interviews with red teamers from various organizations, we uncover chall…

Etude publiée dans The Lancet Regional Health - Americas :
"Le racisme, le sexisme hostile, l'homonégativité, la transphobie, la xénophobie, l'antisémitisme et l'islamophobie étaient tous fortement associés au soutien et Š la volonté de commettre des actes de violence politique aux États-Unis. "
A lire ici

Automating Modelica Module Generation Using Large Language Models: A Case Study on Building Control Description Language
Hanlong Wan, Xing Lu, Yan Chen, Karthik Devaprasad, Laura Hinkle
https://arxiv.org/abs/2509.14623

Automating Modelica Module Generation Using Large Language Models: A Case Study on Building Control Description Language
Dynamic energy systems and controls require advanced modeling frameworks to design and test supervisory and fault tolerant strategies. Modelica is a widely used equation based language, but developing control modules is labor intensive and requires specialized expertise. This paper examines the use of large language models (LLMs) to automate the generation of Control Description Language modules in the Building Modelica Library as a case study. We developed a structured workflow that combines s…

Cleaner air in east Asia may have driven recent acceleration in global warming, our new study indicates https://theconversation.com/cleaner-air-in-east-asia-may-have-driven-recent-acceleration-in-global-warmi…

Cleaner air in east Asia may have driven recent acceleration in global warming, our new study indicates
A new study shows how polluted air could have been masking the full effects of global warming.

sp_hospital: Hospital ward dynamic contacts (2010)
This dataset contains the temporal network of contacts between patients, patients and health-care workers (HCWs) and among HCWs in a hospital ward in Lyon, France, from Monday, December 6, 2010 at 1:00 pm to Friday, December 10, 2010 at 2:00 pm. The study included 46 HCWs and 29 patients.
This network has 75 nodes and 32424 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana
Hari Krishna Neupane, Bhupesh Kumar Mishra
https://arxiv.org/abs/2508.12389

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana
The integration of Artificial Intelligence (AI) into healthcare systems in low-resource settings, such as Nepal and Ghana, presents transformative opportunities to improve personalized patient care, optimize resources, and address medical professional shortages. This paper presents a survey-based evaluation and insights from Nepal and Ghana, highlighting major obstacles such as data privacy, reliability, and trust issues. Quantitative and qualitative field studies reveal critical metrics, inclu…

"Human influence reduces natural land carbon stocks by 24%, study finds"
#Carbon #CarbonDioxide
https://

Human influence reduces natural land carbon stocks by 24%, study finds
Human activities, such as deforestation and the expansion of agricultural areas, have a massive impact on the natural state of ecosystems. As a result, large amounts of carbon are released into the atmosphere, contributing substantially to anthropogenic climate change.

Aggregating Epigenetic Clocks to Study Human Capital Formation
Giorgia Menta, Pietro Biroli, Divya Mehta, Conchita D'Ambrosio, Deborah Cobb-Clark
https://arxiv.org/abs/2509.14422

Aggregating Epigenetic Clocks to Study Human Capital Formation
Epigenetics is the study of how people's behavior and environments influence the way their genes are expressed, even though their DNA sequence is itself unchanged. By aggregating age-related epigenetic markers, epigenetic 'clocks' have become the leading tool for studying biological aging. We make an important contribution by developing a novel, integrated measure of epigenetic aging--the Multi EpiGenetic Age (MEGA) clock--which combines several existing epigenetic clocks to reduce measurement …

A Comparative Study of Decoding Strategies in Medical Text Generation
Oriana Presacan, Alireza Nik, Vajira Thambawita, Bogdan Ionescu, Michael Riegler
https://arxiv.org/abs/2508.13580

A Comparative Study of Decoding Strategies in Medical Text Generation
Large Language Models (LLMs) rely on various decoding strategies to generate text, and these choices can significantly affect output quality. In healthcare, where accuracy is critical, the impact of decoding strategies remains underexplored. We investigate this effect in five open-ended medical tasks, including translation, summarization, question answering, dialogue, and image captioning, evaluating 11 decoding strategies with medically specialized and general-purpose LLMs of different sizes. …

Fermat descent
Santiago Arango-Pi\~neros
https://arxiv.org/abs/2508.13059 https://arxiv.org/pdf/2508.13059

Fermat descent
Descent theory (a modern formulation of Fermat's classical method of infinite descent) is a powerful tool in arithmetic geometry. In this article, we reinterpret descent theory through the lens of quotient stacks and apply it in the setting where it first arose: the Diophantine study of generalized Fermat equations (1) \[ Ax^a + By^b + Cz^c = 0. \] We focus on understanding the arithmetic of the stacks that arise from the study of primitive integral solutions to general Fermat equat…

Ad-Shield: 976M people globally use ad blockers that block on-site analytics, whitelisted ads, registration walls, and more, up from 590M in 2019 (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/marketing/adblockers-stop…

Adblockers stop publishers serving ads to (or even seeing) 1bn web users
Dark traffic' up by 49% in three years, according to new study.

Study: 63% of Consumers Have a More Positive Perception of Brands That Use Sustainable Packaging https://vegconomist.com/packaging/study-consumers-associate-sustainable-packaging-positive-brand-perception/

Study: 63% of Consumers Have a More Positive Perception of Brands That Use Sustainable Packaging - vegconomist - the vegan business magazine
A new study by global management consultancy Simon-Kucher has concluded that consumers expect sustainable packaging, but are not willing to compromise on

🩸 Alarming levels of Pfas in blood of those living near US air force base, study finds
#pfas…

"L'attirance humaine pour les boissons alcoolisées pourrait être, dans une large mesure, héritée de nos ancêtres primates. et d'une certaine manière, c'est quelque chose que nous partageons avec nos plus proches parents vivants : selon une nouvelle étude [...] les chimpanzés consomment quotidiennement des doses élevées d'alcool par rapport Š leur poids corporel, par l'intermédiaire des fruits qui font partie de leur régime alimentaire habituel"

A first-principles theoretical study on two-dimensional MX and MX$_2$ metal halides: bandgap engineering, magnetism, and catalytic descriptors
Yu-Hsiu Lin, Daniel Maldonado-Lopez, Jose L. Mendoza-Cortes
https://arxiv.org/abs/2508.13955

A first-principles theoretical study on two-dimensional MX and MX$_2$ metal halides: bandgap engineering, magnetism, and catalytic descriptors
Metal halides, particularly MX and MX$_2$ compounds (where M represents metal elements and X = F, Cl, Br, I), have attracted significant interest due to their diverse electronic and optoelectronic properties. However, a comprehensive understanding of their structural and electronic behavior, particularly the evolution of these properties from bulk to low-dimensional forms, remains limited. To address this gap, we performed first-principles calculations to develop a database of 60 MX and MX$_2$ …

An Exploratory Study on Abstract Images and Visual Representations Learned from Them
Haotian Li, Jianbo Jiao
https://arxiv.org/abs/2509.14149 https://arxiv…

An Exploratory Study on Abstract Images and Visual Representations Learned from Them
Imagine living in a world composed solely of primitive shapes, could you still recognise familiar objects? Recent studies have shown that abstract images-constructed by primitive shapes-can indeed convey visual semantic information to deep learning models. However, representations obtained from such images often fall short compared to those derived from traditional raster images. In this paper, we study the reasons behind this performance gap and investigate how much high-level semantic content…

Q&A with researcher Petter Törnberg on his pre-print study showing how social media's structural architecture creates problematic outcomes like echo chambers (Jennifer Ouellette/Ars Technica)
https://arstechnica.com/science/2025/08/study-social-medi…

Study: Social media probably can’t be fixed
“The [structural] mechanism producing these problematic outcomes is really robust and hard to resolve.”…

Gen AI in Proof-based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas
https://arxiv.org/abs/2509.13570 https://arxiv.org/pdf/2509.…

Gen AI in Proof-based Math Courses: A Pilot Study
With the rapid rise of generative AI in higher education and the unreliability of current AI detection tools, developing policies that encourage student learning and critical thinking has become increasingly important. This study examines student use and perceptions of generative AI across three proof-based undergraduate mathematics courses: a first-semester abstract algebra course, a topology course and a second-semester abstract algebra course. In each case, course policy permitted some use o…

What's the Best Way to Retrieve Slides? A Comparative Study of Multimodal, Caption-Based, and Hybrid Retrieval Techniques
Petros Stylianos Giouroukis, Dimitris Dimitriadis, Dimitrios Papadopoulos, Zhenwen Shao, Grigorios Tsoumakas
https://arxiv.org/abs/2509.15211

What's the Best Way to Retrieve Slides? A Comparative Study of Multimodal, Caption-Based, and Hybrid Retrieval Techniques
Slide decks, serving as digital reports that bridge the gap between presentation slides and written documents, are a prevalent medium for conveying information in both academic and corporate settings. Their multimodal nature, combining text, images, and charts, presents challenges for retrieval-augmented generation systems, where the quality of retrieval directly impacts downstream performance. Traditional approaches to slide retrieval often involve separate indexing of modalities, which can in…

"Can You See Me Think?" Grounding LLM Feedback in Keystrokes and Revision Patterns
Samra Zafar, Shifa Yousaf, Muhammad Shaheer Minhas
https://arxiv.org/abs/2508.13543 …

"Can You See Me Think?" Grounding LLM Feedback in Keystrokes and Revision Patterns
As large language models (LLMs) increasingly assist in evaluating student writing, researchers have begun questioning whether these models can be cognitively grounded, that is, whether they can attend not just to the final product, but to the process by which it was written. In this study, we explore how incorporating writing process data, specifically keylogs and time-stamped snapshots, affects the quality of LLM-generated feedback. We conduct an ablation study on 52 student essays comparing f…

Unified Spectroscopic Study of Bottom Mesons and Doubly Bottom Baryons Using a Relativistic Flux-Tube Model
Pooja Jakhad, Ajay Kumar Rai
https://arxiv.org/abs/2509.14699 https:/…

Unified Spectroscopic Study of Bottom Mesons and Doubly Bottom Baryons Using a Relativistic Flux-Tube Model
Using the relativistic flux tube (RFT) model with spin-dependent corrections, we present a unified investigation of the mass spectra for singly bottom mesons ($B$, $B_s$) and doubly bottom baryons ($Ξ_{bb}$, $Ω_{bb}$). Within this framework, the calculated masses for established $B$ and $B_s$ meson states show excellent agreement with experimental data. Leveraging these reliable predictions for low-lying states, we propose spectroscopic assignments for several higher excitations: we identify …

On the Illusion of Success: An Empirical Study of Build Reruns and Silent Failures in Industrial CI
Henri A\"idasso, Francis Bordeleau, Ali Tizghadam
https://arxiv.org/abs/2509.14347

On the Illusion of Success: An Empirical Study of Build Reruns and Silent Failures in Industrial CI
Reliability of build outcomes is a cornerstone of effective Continuous Integration (CI). Yet in practice, developers often struggle with non-deterministic issues in the code or CI infrastructure, which undermine trust in build results. When faced with such unexpected outcomes, developers often repeatedly rerun jobs hoping for true success, but this practice is known to increase CI costs and reduce productivity. While recent studies have focused on intermittent job failures, no prior work has in…

Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
John Alderete, Macarious Kin Fung Hui, Aanchan Mohan
https://arxiv.org/abs/2508.13060

Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
The Simon Fraser University Speech Error Database (SFUSED) is a public data collection developed for linguistic and psycholinguistic research. Here we demonstrate how its design and annotations can be used to test and evaluate speech recognition models. The database comprises systematically annotated speech errors from spontaneous English speech, with each error tagged for intended and actual error productions. The annotation schema incorporates multiple classificatory dimensions that are of so…

OpenAI releases the first detailed public study on how people use ChatGPT: 73% of chats were non-work related, practical guidance was the top use case, and more (Gerrit De Vynck/Washington Post)
https://www.washingtonpost.com/technology/2025/09/15/openai-…

Here’s what the data says people ask ChatGPT
OpenAI released the first detailed public study on who uses its chatbot and what they most often ask it to do.

Two Sides to Every Story: Exploring Hybrid Design Teams' Perceptions of Psychological Safety on Slack
Marjan Naghshbandi, Sharon Ferguson, Alison Olechowski
https://arxiv.org/abs/2508.11788

Two Sides to Every Story: Exploring Hybrid Design Teams' Perceptions of Psychological Safety on Slack
While the unique challenges of hybrid work can compromise collaboration and team dynamics, hybrid teams can thrive with well-informed strategies and tools that nurture interpersonal engagements. To inform future supports, we pursue a mixed-methods study of hybrid engineering design capstone teams' Psychological Safety (PS) (i.e., their climate of interpersonal risk-taking and mutual respect) to understand how the construct manifests in teams engaged in innovation. Using interviews, we study six…

On the Use of Agentic Coding Manifests: An Empirical Study of Claude Code
Worawalan Chatlatanagulchai, Kundjanasith Thonglek, Brittany Reid, Yutaro Kashiwa, Pattara Leelaprute, Arnon Rungsawang, Bundit Manaskasemsak, Hajimu Iida
https://arxiv.org/abs/2509.14744

On the Use of Agentic Coding Manifests: An Empirical Study of Claude Code
Agentic coding tools receive goals written in natural language as input, break them down into specific tasks, and write/execute the actual code with minimal human intervention. Key to this process are agent manifests, configuration files (such as Claude.md) that provide agents with essential project context, identity, and operational rules. However, the lack of comprehensive and accessible documentation for creating these manifests presents a significant challenge for developers. We analyzed 25…

Long-lived axion-like particles from electromagnetic cascades
Samuel Patrone, Nikita Blinov, Ryan Plestid
https://arxiv.org/abs/2509.14310 https://arxiv.or…

Long-lived axion-like particles from electromagnetic cascades
We study axion-like particles (ALPs) in beam dump experiments, focusing on the Search for Hidden Particles (SHiP, at CERN) experiment and the Beam Dump eXperiment (BDX, at JLab). Many existing projections for sensitivity to ALPs in beam dump experiments have focused on production from either the primary proton/electron beam, or - in the case of SHiP - the secondary (high-energy) photons produced by neutral meson decays (e.g., $π^0\rightarrowγγ$). In this work, we study the subsequent product…

Extracting Structured Requirements from Unstructured Building Technical Specifications for Building Information Modeling
Insaf Nahri, Romain Pinqui\'e, Philippe V\'eron, Nicolas Bus, Mathieu Thorel
https://arxiv.org/abs/2508.13833

Extracting Structured Requirements from Unstructured Building Technical Specifications for Building Information Modeling
This study explores the integration of Building Information Modeling (BIM) with Natural Language Processing (NLP) to automate the extraction of requirements from unstructured French Building Technical Specification (BTS) documents within the construction industry. Employing Named Entity Recognition (NER) and Relation Extraction (RE) techniques, the study leverages the transformer-based model CamemBERT and applies transfer learning with the French language model Fr\_core\_news\_lg, both pre-trai…

"UK air quality is improving but pollution targets are still being breached – new study"
#UK #UnitedKingdom #Pollution

UK air quality is improving but pollution targets are still being breached – new study
Researchers have analysed UK-wide trends for three major pollutants.

"Unlocking the drivers of voluntary single-use plastic reduction"
#Plastic #Plastics
https://…

Unlocking the drivers of voluntary single-use plastic reduction
A belief that individual actions do make a meaningful difference is among the common factors that motivate people to voluntarily reduce their consumption of single-use plastics (SUP), a Griffith University study has discovered.

Crash Report Enhancement with Large Language Models: An Empirical Study
S M Farah Al Fahim (Peter), Md Nakhla Rafi (Peter), Zeyang Ma (Peter), Dong Jae Kim (Peter), Tse-Hsun (Peter), Chen
https://arxiv.org/abs/2509.13535

Crash Report Enhancement with Large Language Models: An Empirical Study
Crash reports are central to software maintenance, yet many lack the diagnostic detail developers need to debug efficiently. We examine whether large language models can enhance crash reports by adding fault locations, root-cause explanations, and repair suggestions. We study two enhancement strategies: Direct-LLM, a single-shot approach that uses stack-trace context, and Agentic-LLM, an iterative approach that explores the repository for additional evidence. On a dataset of 492 real-world cras…

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
Yilun Zhao, Weiyuan Chen, Zhijian Xu, Manasi Patwardhan, Yixin Liu, Chengye Wang, Lovekesh Vig, Arman Cohan
https://arxiv.org/abs/2507.13300

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
We introduce AbGen, the first benchmark designed to evaluate the capabilities of LLMs in designing ablation studies for scientific research. AbGen consists of 1,500 expert-annotated examples derived from 807 NLP papers. In this benchmark, LLMs are tasked with generating detailed ablation study designs for a specified module or process based on the given research context. Our evaluation of leading LLMs, such as DeepSeek-R1-0528 and o4-mini, highlights a significant performance gap between these …

An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software
Sina Gogani-Khiabani (University of Illinois Chicago), Ashutosh Trivedi (University of Colorado Boulder), Diptikalyan Saha (IBM Research), Saeid Tizpaz-Niari (University of Illinois Chicago)
https://arxiv.org/abs/2509.13471

An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software
Large language models (LLMs) show promise for translating natural-language statutes into executable logic, but reliability in legally critical settings remains challenging due to ambiguity and hallucinations. We present an agentic approach for developing legal-critical software, using U.S. federal tax preparation as a case study. The key challenge is test-case generation under the oracle problem, where correct outputs require interpreting law. Building on metamorphic testing, we introduce highe…

Hallucination in LLM-Based Code Generation: An Automotive Case Study
Marc Pavel, Nenad Petrovic, Lukasz Mazur, Vahid Zolfaghari, Fengjunjie Pan, Alois Knoll
https://arxiv.org/abs/2508.11257

Hallucination in LLM-Based Code Generation: An Automotive Case Study
Large Language Models (LLMs) have shown significant potential in automating code generation tasks offering new opportunities across software engineering domains. However, their practical application remains limited due to hallucinations - outputs that appear plausible but are factually incorrect, unverifiable or nonsensical. This paper investigates hallucination phenomena in the context of code generation with a specific focus on the automotive domain. A case study is presented that evaluates m…