Tootfinder

TIL that after the findings of the 2017 Manchester Bombing enquiry, the UK standardised the incident triage algorithm across all first responders, including wrist-bands . ("Ten Second Triage")
https://www.england.nhs.uk/publication/cli

NHS England » Clinical guidelines for major incidents and mass casualty events
NHS England » Clinical guidelines for major incidents and mass casualty events

from my link log —
libu8ident: Unicode security guidelines for programming language identifiers.
https://github.com/rurban/libu8ident
saved 2025-02-13

GitHub - rurban/libu8ident: unicode security guidelines for identifiers
unicode security guidelines for identifiers. Contribute to rurban/libu8ident development by creating an account on GitHub.

Administration to phase out NIH support of HIV clinical guidelines
Doctors and advocates worry the move is a first step toward ending federal guidance for HIV treatment
https://www.washingtonpost.com/science/2025/06/21/hiv-aids-rfk-guidelines-n…

Administration to phase out NIH support of HIV clinical guidelines
The National Institutes of Health will phase out its support of the clinical practice guidelines that advise doctors how to diagnose and treat HIV.

A Graph-Based Test-Harness for LLM Evaluation
Jessica Lundin, Guillaume Chabot-Couture
https://arxiv.org/abs/2508.20810 https://arxiv.org/pdf/2508.20810

A Graph-Based Test-Harness for LLM Evaluation
We present a first known prototype of a dynamic, systematic benchmark of medical guidelines for 400+ questions, with 3.3+ trillion possible combinations, covering 100\% of guideline relationships. We transformed the WHO IMCI handbook into a directed graph with 200+ nodes (conditions, symptoms, treatments, follow-ups, severities) and 300+ edges, then used graph traversal to generate questions that incorporated age-specific scenarios and contextual distractors to ensure clinical relevance. Our gr…

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
Nadeen Fathallah, Daniel Hern\'andez, Steffen Staab
https://arxiv.org/abs/2507.19549

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
The vast majority of Web pages fail to comply with established Web accessibility guidelines, excluding a range of users with diverse abilities from interacting with their content. Making Web pages accessible to all users requires dedicated expertise and additional manual efforts from Web page providers. To lower their efforts and promote inclusiveness, we aim to automatically detect and correct Web accessibility violations in HTML code. While previous work has made progress in detecting certain…

The Commission has issued guidelines to clarify the scope of the obligations for providers of general-purpose AI models under the AI Act. These obligations enter into application on 2 August 2025.
#eu #ai #aiact

The Value of Gen-AI Conversations: A bottom-up Framework for AI Value Alignment
Lenart Motnikar, Katharina Baum, Alexander Kagan, Sarah Spiekermann-Hoff
https://arxiv.org/abs/2507.21091

The Value of Gen-AI Conversations: A bottom-up Framework for AI Value Alignment
Conversational agents (CAs) based on generative artificial intelligence frequently face challenges ensuring ethical interactions that align with human values. Current value alignment efforts largely rely on top-down approaches, such as technical guidelines or legal value principles. However, these methods tend to be disconnected from the specific contexts in which CAs operate, potentially leading to misalignment with users interests. To address this challenge, we propose a novel, bottom-up appr…

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning
Hongyi Pan, Gorkem Durak, Elif Keles, Deniz Seyithanoglu, Zheyuan Zhang, Alpay Medetalibeyoglu, Halil Ertugrul Aktas, Andrea Mia Bejar, Ziliang Hong, Yavuz Taktak, Gulbiz Dagoglu Kartal, Mehmet Sukru Erturk, Timurhan Cebeci, Maria Jaramillo Gonzalez, Yury Velichko, Lili Zhao, Emil Agarunov, Federica Proietto Salanitri, Concetto Spampinato, Pallavi Tiwari, Ziyue Xu, Sachin Jam…

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning
Pancreatic cancer is projected to become the second-deadliest malignancy in Western countries by 2030, highlighting the urgent need for better early detection. Intraductal papillary mucinous neoplasms (IPMNs), key precursors to pancreatic cancer, are challenging to assess with current guidelines, often leading to unnecessary surgeries or missed malignancies. We present Cyst-X, an AI framework that predicts IPMN malignancy using multicenter MRI data, leveraging MRI's superior soft tissue contras…

TikTok is updating its Community Guidelines, adding new rules for Live creators, including a requirement that commercial content must be disclosed (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/08/15/tiktoks-new-guideli…

TikTok's new guidelines add subtle changes for LIVE creators, AI content, and more | TechCrunch
TikTok is preparing an update to its Community Guidelines, which dictate the rules for participating on the social video platform as well as what standards the company uses to determine the videos that make it onto its For You feed.

TikTok is updating its Community Guidelines, adding new rules for Live creators, including a requirement that commercial content must be disclosed (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/08/15/tiktoks-new-guideli…

TikTok's new guidelines add subtle changes for LIVE creators, AI content, and more | TechCrunch
TikTok is preparing an update to its Community Guidelines, which dictate the rules for participating on the social video platform as well as what standards the company uses to determine the videos that make it onto its For You feed.

NIH To Phase Out Guidelines On HIV Treatments - Joe.My.God.
https://www.joemygod.com/2025/06/nih-to-phase-out-guidelines-on-hiv-treatments/

Administration to phase out NIH support of HIV clinical guidelines (Mark Johnson/Washington Post)
https://www.washingtonpost.com/science/2025/06/21/hiv-aids-rfk-guidelines-nih/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzUwNDc4NDAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzUxODYwNzk5LCJpYXQiOjE3NTA0Nzg0MDAsImp0aSI6IjNhMjA5ZGQ5LWJjOGEtNDIwYS1hODAzLWYyZWE1ZWJmZTc4NyIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS9zY2llbmNlLzIwMjUvMDYvMjEvaGl2LWFpZHMtcmZrLWd1aWRlbGluZXMtbmloLyJ9.lDiPGD1eiH4kzdhegonY6TbI1wUQ-c4iXRYlDHjFNuI&itid=gfta
http://www.memeorandum.com/250621/p49#a250621p49

A recent post about a library publishing guidelines on citing genAI got me thinking about when that might be appropriate (rarely) or not (almost always), and what those cites should look like when they are needed. I have a new post talking about why genAI output shouldn’t be cited in most cases and, for when they must be, giving examples from common style guides.

Citing material generated by LLMs and chatbots
A recent post on Bluesky lamenting a university library publishing guidelines for citing generative AI (genAI) got me thinking about why one would want to do that in the first place and then, assuming there's a valid reason, what that citation should look like. So, that's what I'm exploring today.

Analyzing Security and Privacy Challenges in Generative AI Usage Guidelines for Higher Education
Bei Yi Ng, Jiarui Li, Xinyuan Tong, Kevin Ye, Gauthami Yenne, Varun Chandrasekaran, Jingjie Li
https://arxiv.org/abs/2506.20463

Analyzing Security and Privacy Challenges in Generative AI Usage Guidelines for Higher Education
Educators and learners worldwide are embracing the rise of Generative Artificial Intelligence (GenAI) as it reshapes higher education. However, GenAI also raises significant privacy and security concerns, as models and privacy-sensitive user data, such as student records, may be misused by service providers. Unfortunately, end-users often have little awareness of or control over how these models operate. To address these concerns, universities are developing institutional policies to guide GenA…

How (Not) To Write a Software Engineering Abstract
Lutz Prechelt, Lloyd Montgomery, Julian Frattini, Franz Zieris
https://arxiv.org/abs/2506.21634 https://…

How (Not) To Write a Software Engineering Abstract
Background: Abstracts are a particularly valuable element in a software engineering research article. However, not all abstracts are as informative as they could be. Objective: Characterize the structure of abstracts in high-quality software engineering venues. Observe and quantify deficiencies. Suggest guidelines for writing informative abstracts. Methods: Use qualitative open coding to derive concepts that explain relevant properties of abstracts. Identify the archetypical structure of abstra…

Engineering Automotive Digital Twins on Standardized Architectures: A Case Study
Stefan Ramdhan, Winnie Trandinh, Istvan David, Vera Pantelic, Mark Lawford
https://arxiv.org/abs/2508.18662

Engineering Automotive Digital Twins on Standardized Architectures: A Case Study
Digital twin (DT) technology has become of interest in the automotive industry. There is a growing need for smarter services that utilize the unique capabilities of DTs, ranging from computer-aided remote control to cloud-based fleet coordination. Developing such services starts with the software architecture. However, the scarcity of DT architectural guidelines poses a challenge for engineering automotive DTs. Currently, the only DT architectural standard is the one defined in ISO 23247. Thoug…

Related to my last boost, still annoyed this DID NOT make it into WCAG 2.2:
3.2.7 Hidden Controls (Level AA): Controls needed to progress or complete a process are visible at the time they are needed without requiring pointer hover or keyboard focus, or a mechanism is available to make them persistently visible.
https://www.…

Bluesky revises its policies and Community Guidelines to comply with new regulations, including EU's DSA, the UK Online Safety Act, and the US Take It Down Act (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/08/14/bluesky-roll…

Bluesky rolls out massive revamp to policies and Community Guidelines | TechCrunch
Some of the changes represent an effort by Bluesky to purposefully shape its community and the behavior of its users, nudging them to be nicer and more respectful of others.

Some days editing means researching the fine points of further vs farther or everyday vs every day. Some days you read up on why mental health professional recommend saying "death by suicide" instead of "committed suicide"
https://www.iasp.info/languageguidelines/

Language Guidelines - IASP
The Language of Suicide  An important objective of suicide prevention is to remove the stigma associated with suicide and mental health issues so that people will be more likely to seek the help they need. One of the ways we can do this is to be conscious of our use […]

Integrating Vehicle Acoustic Data for Enhanced Urban Traffic Management: A Study on Speed Classification in Suzhou
Pengfei Fan, Yuli Zhang, Xinheng Wang, Ruiyuan Jiang, Hankang Gu, Dongyao Jia, Shangbo Wang
https://arxiv.org/abs/2506.21269

Integrating Vehicle Acoustic Data for Enhanced Urban Traffic Management: A Study on Speed Classification in Suzhou
This study presents and publicly releases the Suzhou Urban Road Acoustic Dataset (SZUR-Acoustic Dataset), which is accompanied by comprehensive data-acquisition protocols and annotation guidelines to ensure transparency and reproducibility of the experimental workflow. To model the coupling between vehicular noise and driving speed, we propose a bimodal-feature-fusion deep convolutional neural network (BMCNN). During preprocessing, an adaptive denoising and normalization strategy is applied to …

Bluesky revises its policies and Community Guidelines to comply with new regulations, including the EU DSA, UK Online Safety Act, and US Take It Down Act (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/08/14/bluesky-rolls-out-mass…

Bluesky rolls out massive revamp to policies and Community Guidelines | TechCrunch
Some of the changes represent an effort by Bluesky to purposefully shape its community and the behavior of its users, nudging them to be nicer and more respectful of others.

Characterizing Visualization Perception with Psychological Phenomena: Uncovering the Role of Subitizing in Data Visualization
Arran Zeyu Wang, Ghulam Jilani Quadri, Mengyuan Zhu, Chin Tseng, Danielle Albers Szafir
https://arxiv.org/abs/2508.17460

Characterizing Visualization Perception with Psychological Phenomena: Uncovering the Role of Subitizing in Data Visualization
Understanding how people perceive visualizations is crucial for designing effective visual data representations; however, many heuristic design guidelines are derived from specific tasks or visualization types, without considering the constraints or conditions under which those guidelines hold. In this work, we aimed to assess existing design heuristics for categorical visualization using well-established psychological knowledge. Specifically, we examine the impact of the subitizing phenomenon …

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
Matthias Monnereau, Ana Jarne, Axel Benoist, Cl\'emence Fradet, Maurice Perol, Thomas Filleron, Louise Baschet
https://arxiv.org/abs/2506.11587

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
To evaluate methodological challenges and regulatory considerations of indirect treatment comparisons (ITCs) with the analysis of international health technology assessment guidelines and French Transparency Committee (TC) decisions. We conducted a pragmatic review of ITC guidelines from major health technology assessment (HTA) bodies and multistakeholder organizations. Then, we analyzed TC opinions published between 2021-2023. We extracted data on ITC methodology, therapeutic areas, acceptabil…

Guidelines for the Enhancement of the Corpus and the Verismo Vocabulary
Michael Bassi, Giovanni Salucci
https://arxiv.org/abs/2508.15645 https://arxiv.org/…

Guidelines for the Enhancement of the Corpus and the Verismo Vocabulary
VIVer is a digital lexicography project with historical-literary and historical-linguistic aims that can be considered a case study of a Digital Humanities project. This paper presents the IT choices made to promote the dissemination and enhancement of the results, analysing the issues and advantages for wider adoption, beyond the specific VIVer project, serving as a model and inspiration for future projects.

Ten Essential Guidelines for Building High-Quality Research Software
Nasir U. Eisty, David E. Bernholdt, Alex Koufos, David J. Luet, Miranda Mundt
https://arxiv.org/abs/2507.16166

Ten Essential Guidelines for Building High-Quality Research Software
High-quality research software is a cornerstone of modern scientific progress, enabling researchers to analyze complex data, simulate phenomena, and share reproducible results. However, creating such software requires adherence to best practices that ensure robustness, usability, and sustainability. This paper presents ten guidelines for producing high-quality research software, covering every stage of the development lifecycle. These guidelines emphasize the importance of planning, writing cle…

Energy Giants Abandon Global Net Zero Group Over Oil and Gas Clampdown | OilPrice.com
https://oilprice.com/Energy/Energy-General/Energy-Giants-Abandon-Global-Net-Zero-Group-Over-Oil-and-Gas-Clampdown.html

Energy Giants Abandon Global Net Zero Group Over Oil and Gas Clampdown
Shell and other oil majors have withdrawn from the SBTi climate standard effort, triggering a pause in its oil and gas guidelines.

As we prepare for the ngscopeclient v0.1 release, I'd like to actually commission a proper application icon.
We're in initial talks with one designer but they're just a general icon/branding shop and have no specific EE experience so they'll need somewhat specific guidelines of what we want the icon to depict.
Does anyone have suggestions on what the icon should look like? Sketches, concepts, text descriptions, whatever are all very much of interest.

Toward Sustainable Vertical Farming: Impacts of Environmental Factors and Energy Mix on Performance and Costs
Francesco Ceccanti, Aldo Bischi, Umberto Desideri, Andrea Baccioli
https://arxiv.org/abs/2507.18419

Toward Sustainable Vertical Farming: Impacts of Environmental Factors and Energy Mix on Performance and Costs
The increasing interest in vertical farming arises from its ability to ensure consistent, high-quality, and pest-free vegetable production while supporting synergies with energy systems and urban development. Accordingly, standardized design and operation guidelines are essential to improve energy efficiency and lower costs. This study analyzes the production performance and energy consumption of a vertical farming system, assessing its efficiency, sustainability, and economic viability. A tota…

From Guidelines to Practice: A New Paradigm for Arabic Language Model Evaluation
Serry Sibaee, Omer Nacar, Adel Ammar, Yasser Al-Habashi, Abdulrahman Al-Batati, Wadii Boulila
https://arxiv.org/abs/2506.01920

From Guidelines to Practice: A New Paradigm for Arabic Language Model Evaluation
This paper addresses critical gaps in Arabic language model evaluation by establishing comprehensive theoretical guidelines and introducing a novel evaluation framework. We first analyze existing Arabic evaluation datasets, identifying significant issues in linguistic accuracy, cultural alignment, and methodological rigor. To address these limitations in LLMs, we present the Arabic Depth Mini Dataset (ADMD), a carefully curated collection of 490 challenging questions spanning ten major domains …

Evaluation Guidelines for Empirical Studies in Software Engineering involving LLMs
Sebastian Baltes, Florian Angermeir, Chetan Arora, Marvin Mu\~noz Bar\'on, Chunyang Chen, Lukas B\"ohme, Fabio Calefato, Neil Ernst, Davide Falessi, Brian Fitzgerald, Davide Fucci, Marcos Kalinowski, Stefano Lambiase, Daniel Russo, Mircea Lungu, Lutz Prechelt, Paul Ralph, Christoph Treude, Stefan Wagner

Evaluation Guidelines for Empirical Studies in Software Engineering involving LLMs
Large language models (LLMs) are increasingly being integrated into software engineering (SE) research and practice, yet their non-determinism, opaque training data, and evolving architectures complicate the reproduction and replication of empirical studies. We present a community effort to scope this space, introducing a taxonomy of LLM-based study types together with eight guidelines for designing and reporting empirical studies involving LLMs. The guidelines present essential (must) criteria…

A Guide for Manual Annotation of Scientific Imagery: How to Prepare for Large Projects
Azim Ahmadzadeh, Rohan Adhyapak, Armin Iraji, Kartik Chaurasiya, V Aparna, Petrus C. Martens
https://arxiv.org/abs/2508.14801

A Guide for Manual Annotation of Scientific Imagery: How to Prepare for Large Projects
Despite the high demand for manually annotated image data, managing complex and costly annotation projects remains under-discussed. This is partly due to the fact that leading such projects requires dealing with a set of diverse and interconnected challenges which often fall outside the expertise of specific domain experts, leaving practical guidelines scarce. These challenges range widely from data collection to resource allocation and recruitment, from mitigation of biases to effective traini…

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends
Hong Niu, Yue Xiao, Xia Lei, Jiangong Chen, Zhihan Xiao, Mao Li, Chau Yuen
https://arxiv.org/abs/2507.06500

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends
Due to the broadcast nature of wireless communications, physical-layer security has attracted increasing concerns from both academia and industry. Artificial noise (AN), as one of the promising physical-layer security techniques, is capable of utilizing the spatial degree-of-freedom of channels to effectively enhance the security of wireless communications. In contrast to other physicallayer security techniques, the key distinguishing feature of AN is to generate specific interfering signals ac…

I’m done. Corporate death penalty for Meta.
This is *fucking insane* - they are just *so eager* to use already thieving and exploitive models to leap forward and make the absolute best racist, grooming, violent pedophilic chatbot in history!
Meta’s AI rules have let bots hold ‘sensual’ chats with kids, offer false medical info:

Demystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI
Hannah Selder, Florian Fischer, Per Ola Kristensson, Arthur Fleig
https://arxiv.org/abs/2508.15727

Demystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI
Designing effective reward functions is critical for reinforcement learning-based biomechanical simulations, yet HCI researchers and practitioners often waste (computation) time with unintuitive trial-and-error tuning. This paper demystifies reward function design by systematically analyzing the impact of effort minimization, task completion bonuses, and target proximity incentives on typical HCI tasks such as pointing, tracking, and choice reaction. We show that proximity incentives are essent…

Mind the Gap: Evaluating the Representativeness of Quantitative Medical Language Reasoning LLM Benchmarks for African Disease Burdens
Fred Mutisya (Qhala, Kenya Medical Association), Shikoh Gitau (Qhala), Christine Syovata (Kenya Medical Association), Diana Oigara (Kenya Medical Association), Ibrahim Matende (Kenya Medical Association), Muna Aden (Kenya Medical Association), Munira Ali (Kenya Medical Association), Ryan Nyotu (Kenya Medical Association), Diana Marion (Kenya Medical Asso…

Mind the Gap: Evaluating the Representativeness of Quantitative Medical Language Reasoning LLM Benchmarks for African Disease Burdens
Introduction: Existing medical LLM benchmarks largely reflect examination syllabi and disease profiles from high income settings, raising questions about their validity for African deployment where malaria, HIV, TB, sickle cell disease and other neglected tropical diseases (NTDs) dominate burden and national guidelines drive care. Methodology: We systematically reviewed 31 quantitative LLM evaluation papers (Jan 2019 May 2025) identifying 19 English medical QA benchmarks. Alama Health QA was de…

Guidelines for the optimization of hafnia-based ferroelectrics through superlattice engineering
Johanna van Gent, Binayak Mukherjee, Ewout van der Veer, Ellen M. Kiens, Gertjan G. Koster, Bart J. Kooi, Jorge \'I\~niguez-Gonz\'alez, Beatriz Noheda
https://arxiv.org/abs/2507.05174 …

Guidelines for the optimization of hafnia-based ferroelectrics through superlattice engineering
Hafnia-based ferroelectrics are revolutionizing the data storage industry and the field of ferroelectrics, with improved materials and devices being reported monthly. However, full understanding and control has not been reached yet and the ideal material still needs to be found. Here we report ferroelectric hafnia-zirconia superlattices made out of zirconium-substituted hafnia (Hf$_{1-x}$Zr$_x$O$_2$) sublayers of varying stoichiometries alternating with pure ZrO$_2$ sublayers. It is observed th…

How much damage are ultraprocessed foods really doing to your health? #nutrition

How much damage are ultraprocessed foods really doing to your health?
Many foods we consume today are ultraprocessed, packed with unhealthy ingredients, and linked to major health risks. As consumption of these foods rises, so do chronic health issues, especially among lower-income groups. Experts are calling for clearer guidelines, better research, and systemic changes to reduce the impact of ultraprocessed foods on public health.

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Guidelines for the Enhancement of the Corpus and the Verismo Vocabulary
Michael Bassi, Giovanni Salucci

The EU issues guidelines to help AI models with systemic risks comply with the AI Act, after criticism from some companies about lack of clarity (Foo Yun Chee/Reuters)
https://www.reuters.com/sustainability/boa

The new @… recommendations for making network tariffs future-proof and reducing energy system costs are here, and they're good. I think this section of the document provides a good summary. More granular time- and location-based signals to adjust and shift energy use.

Listened in to the Academy Software Foundation's virtual townhall about the Open Review Initiative. I knew that project because they provide very useful ffmpeg command lines and they're doing all the encoding tests to figure out good quality settings and obscure parameters.
Learnings from the presentation: prores by ffmpeg is sadly pretty crappy compared to the real prores from Apple. There's the OpenAPV codec that is gearing up to be an open-source alternative:

Physics-Informed Regression Modelling for Vertical Facade Surface Temperature: A Tropical Case Study on Solar-reflective Material
Shisheng Chen, Shanshan Tong, Nyuk Hien Wong, May Lwin Oo, Joie Lim, Erna Tan, Ruohan Xu, Marcel Ignatius, Yang He, Zhenjiang Shen
https://arxiv.org/abs/2507.16174

Physics-Informed Regression Modelling for Vertical Facade Surface Temperature: A Tropical Case Study on Solar-reflective Material
Urban heat islands (UHIs) pose a critical challenge in densely populated cities and tropical climates where large amounts of energy are used to meet the cooling demand. To address this, Building and Construction Authority (BCA) of Singapore provides incentives for passive cooling such as using of solar-reflective material in its Green Mark guidelines. Thus, understanding about its real-world effectiveness in tropical urban environments is required. This study evaluated the effectiveness of sola…

Best Practices for Machine Learning-Assisted Protein Engineering
Fabio Herrera-Rocha, David Medina-Ortiz, Fabian Mauz, Juergen Pleiss, Mehdi D. Davari
https://arxiv.org/abs/2507.07547

Best Practices for Machine Learning-Assisted Protein Engineering
Data-driven modeling based on Machine Learning (ML) is becoming a central component of protein engineering workflows. This perspective presents the elements necessary to develop effective, reliable, and reproducible ML models, and a set of guidelines for ML developments for protein engineering. This includes a critical discussion of software engineering good practices for development and evaluation of ML-based protein engineering projects, emphasizing supervised learning. These guidelines cover…

At a private event hosted by Senator Dave McCormick, Republican of Pennsylvania,
donors wandered through a sculpture hall at the Carnegie Museum of Art in Pittsburgh
and partied with their cowboy hats on at a dinner where each plate cost $5,000.
The aftermath was less celebratory.
Dozens of employees at the Carnegie Museums sent an open letter to trustees,
saying that the fund-raiser violated guidelines meant to safeguard the institution from partisan activities…

$5,000-Per-Plate Dinner Tests Museum Ban on Political Fund-Raisers
Carnegie Museums employees objected that a fund-raiser for a nonprofit with ties to a senator had violated museum policy against renting space for partisan political events.

Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement
Cedric Z\"ollner, Simon Rei{\ss}, Alexander Jaus, Amroalalaa Sholi, Ralf Sodian, Rainer Stiefelhagen
https://arxiv.org/abs/2507.16573

Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement
When preoperative planning for surgeries is conducted on the basis of medical images, artificial intelligence methods can support medical doctors during assessment. In this work, we consider medical guidelines for preoperative planning of the transcatheter aortic valve replacement (TAVR) and identify tasks, that may be supported via semantic segmentation models by making relevant anatomical structures measurable in computed tomography scans. We first derive fine-grained TAVR-relevant pseudo-lab…

Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists
Arne Henningsen (Department of Food and Resource Economics, University of Copenhagen, Denmark), Guy Low (Business Economics Group, Wageningen University & Research, The Netherlands), David Wuepper (Institute for Food and Resource Economics, University of Bonn, Germany), Tobias Dalhaus (Business Economics Group, Wageningen University & Research, The Netherlands), Hugo Storm (Ins…

Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists
Most research questions in agricultural and applied economics are of a causal nature, i.e., how one or more variables (e.g., policies, prices, the weather) affect one or more other variables (e.g., income, crop yields, pollution). Only some of these research questions can be studied experimentally. Most empirical studies in agricultural and applied economics thus rely on observational data. However, estimating causal effects with observational data requires appropriate research designs and a tr…

Work on parts of Trump’s elections executive order is getting underway - Votebeat
https://www.votebeat.org/2025/06/30/trump-executive-order-elections-voluntary-voting-system-guidelines-barcode-qr-code/

Joel Kaplan says Meta won't sign EU's AI code of practice, calling its guidelines overreach that will throttle development and deployment of AI models in Europe (Gian Volpicelli/Bloomberg)
https://www.bloomberg.com/news/articles/20

Guidelines for LASSO and derivatives use under different dependence and scale structures
Laura Freijeiro-Gonz\'alez, Manuel Febrero-Bande, Wenceslao Gonz\'alez-Manteiga
https://arxiv.org/abs/2506.08582

Guidelines for LASSO and derivatives use under different dependence and scale structures
In a multivariate linear regression model with $p>1$ covariates, implementation of penalization techniques often implies a preliminary univariate standardization step. Although this prevents scale effects on the covariates selection procedure, possible dependence structures can be disrupted, leading to wrong results. This is particularly challenging in high-dimensional settings where $p \geq n$. In this paper, we analyze the standardization effect on the LASSO for different dependence-scales co…

What the fuck is it with #overlay companies and their apologists commenting on my blog?
I got two today (on the same post):
https://adrianroselli.com/2025/01/ftc-

FTC Catches up to #accessiBe
From the FTC on Friday: The Federal Trade Commission will require software provider accessiBe to pay $1 million to settle allegations that it misrepresented the ability of its AI-powered web accessibility tool to make any website compliant with the Web Content Accessibility Guidelines (WCAG) for people with disabilities. FTC Order…

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records
Dongchen Li (College of Computer Science and Engineering, Northeastern University, Shenyang, China), Jitao Liang (College of Computer Science and Engineering, Northeastern University, Shenyang, China), Wei Li (College of Computer Science and Engineering, Northeastern University, Shenyang, China), Xiaoyu Wang (Liaoning Cancer Hospital and Institute, She…

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records
Large Language Models (LLMs) hold significant promise for improving clinical decision support and reducing physician burnout by synthesizing complex, longitudinal cancer Electronic Health Records (EHRs). However, their implementation in this critical field faces three primary challenges: the inability to effectively process the extensive length and multilingual nature of patient records for accurate temporal analysis; a heightened risk of clinical hallucination, as conventional grounding techni…

Does anyone have suggested spacing guidelines for Molex PicoBlade connectors oriented in a row so that the cables run over each other?
Obviously the three shown here are too close.
But how far apart is far enough?

Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation
Kiruthika Balakrishnan, Durgadevi Velusamy, Hana E. Hinkle, Zhi Li, Karthikeyan Ramasamy, Hikmat Khan, Srini Ramaswamy, Pir Masoom Shah
https://arxiv.org/abs/2508.11738

Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation
Rural healthcare faces persistent challenges, including inadequate infrastructure, workforce shortages, and socioeconomic disparities that hinder access to essential services. This study investigates the transformative potential of artificial intelligence (AI) in addressing these issues in underserved rural areas. We systematically reviewed 109 studies published between 2019 and 2024 from PubMed, Embase, Web of Science, IEEE Xplore, and Scopus. Articles were screened using PRISMA guidelines and…

Empathy Guidelines for Improving Practitioner Well-being & Software Engineering Practices
Hashini Gunatilake, John Grundy, Rashina Hoda, Ingo Mueller
https://arxiv.org/abs/2508.03846

Empathy Guidelines for Improving Practitioner Well-being & Software Engineering Practices
Empathy is a powerful yet often overlooked element in software engineering (SE), supporting better teamwork, smoother communication, and effective decision-making. In our previous study, we identified a range of practitioner strategies for fostering empathy in SE contexts. Building on these insights, this paper introduces 17 actionable empathy guidelines designed to support practitioners, teams, and organisations. We also explore how these guidelines can be implemented in practice by examining …

Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assistants
Jacinto Colan, Ana Davila, Yutaro Yamada, Yasuhisa Hasegawa
https://arxiv.org/abs/2507.11460

Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assistants
Human-robot collaboration in surgery represents a significant area of research, driven by the increasing capability of autonomous robotic systems to assist surgeons in complex procedures. This systematic review examines the advancements and persistent challenges in the development of autonomous surgical robotic assistants (ASARs), focusing specifically on scenarios where robots provide meaningful and active support to human surgeons. Adhering to the PRISMA guidelines, a comprehensive literature…

China releases draft guidelines on cross-border transmission of automobile data, which could pave the way for the wider rollout of Tesla's FSD in the country (Bloomberg)
https://www.bloomberg.com/news/articles/20

President Trump is the first to ask federal job applicants to describe their allegiance to administration policy in an essay
or to mandate training for senior government officials on White House executive orders, experts said.
Senior agency officials, who are often political appointees, are to be directly involved in the hiring process, which has not previously been the case.
The guidelines, released last month, arrived at a time when the Trump administration was beginning …

In Trump’s ‘Patriotic’ Hiring Plan, Experts See a Politicized Federal Work Force
Political appointments inherently take into consideration loyalty to the president or the party. But expanding those types of questions to the career civil service is a significant departure.

Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti, Ioanna Lykourentzou, Faez Ahmed
https://arxiv.org/abs/2508.00830

Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
We introduce Bike-Bench, an engineering design benchmark for evaluating generative models on problems with multiple real-world objectives and constraints. As generative AI's reach continues to grow, evaluating its capability to understand physical laws, human guidelines, and hard constraints grows increasingly important. Engineering product design lies at the intersection of these difficult tasks, providing new challenges for AI capabilities. Bike-Bench evaluates AI models' capability to genera…

Guidelines for Gaze-based Neural Preliminary Diagnosis
Mayar Elfares, Salma Younis, Pascal Reisert, Ralf K\"usters, Tobias Renner, Andreas Bulling
https://arxiv.org/abs/2506.08517

Guidelines for Gaze-based Neural Preliminary Diagnosis
Neural disorders refer to any condition affecting the nervous system and that influence how individuals perceive and interact with the world. Traditional neural diagnoses rely on cumbersome, time-consuming, or subjective methods, such as clinical interviews, behavioural observations, or medical imaging. Eye tracking is an attractive alternative because analysing eye movements, such as fixations and saccades, can provide more objective insights into brain function and cognitive processing by cap…

The next dimension: Digital holography for 3D interferometric scattering
Jaime Ortega Arroyo, Matz Liebel
https://arxiv.org/abs/2508.02910 https://arxiv.or…

The next dimension: Digital holography for 3D interferometric scattering
We provide detailed experimental guidelines for implementing digital holography in the context of high-sensitivity interferometric scattering (iSCAT) based nanosizing applications. Our approach relies on interferometry via the highly versatile off-axis implementation of digital holography, which offers key advantages over more traditional strategies. After a brief theoretical discussion of off-axis holography and its differences and similarities with iSCAT, typical experimental implementations …

An internal Meta doc shows its chatbots were allowed to engage in provocative conversations; Meta removed some examples, including romantic roleplay with kids (Jeff Horwitz/Reuters)
https://www.reuters.com/investigates/special-report/meta-ai-chatbot-guidelines…

"They Aren't Built For Me": An Exploratory Study of Strategies for Measurement of Graphical Primitives in Tactile Graphics
Areen Khalaila, Lane Harrison, Nam Wook Kim, Dylan Cashman
https://arxiv.org/abs/2508.14289

"They Aren't Built For Me": An Exploratory Study of Strategies for Measurement of Graphical Primitives in Tactile Graphics
Advancements in accessibility technologies such as low-cost swell form printers or refreshable tactile displays promise to allow blind or low-vision (BLV) people to analyze data by transforming visual representations directly to tactile representations. However, it is possible that design guidelines derived from experiments on the visual perception system may not be suited for the tactile perception system. We investigate the potential mismatch between familiar visual encodings and tactile perc…

Artificial Intelligence and Journalism: A Systematic Bibliometric and Thematic Analysis of Global Research
Mohammad Al Masum Molla, Md Manjurul Ahsan
https://arxiv.org/abs/2507.10891

Artificial Intelligence and Journalism: A Systematic Bibliometric and Thematic Analysis of Global Research
Artificial Intelligence (AI) is reshaping journalistic practices across the globe, offering new opportunities while raising ethical, professional, and societal concerns. This study presents a comprehensive systematic review of published articles on AI in journalism from 2010 to 2025. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, a total of 72 peer-reviewed articles were selected from Scopus and Web of Science databases. The analysis c…

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood, Nadeem Shahzad, Ken Huang, Muhammad Aziz Ul Haq, Muhammad Awais, Kamal Ahmed, Anthony Green
https://arxiv.org/abs/2508.01997

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning, sophisticated impersonation, and the unauthorized monetization of identity-related data. Mitigating these risks necessitates the development of robust AI-generated content detection systems, enhanced legal frameworks, and ethical guidelines. This paper introduces the Digital Identity Rights Framework (DIRF), a structu…

CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
Black Sun (Delia), Die (Delia), Hu
https://arxiv.org/abs/2507.22205 htt…

CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
Remote fetal monitoring technologies are becoming increasingly common. Yet, most current systems offer limited interpretability, leaving expectant parents with raw cardiotocography (CTG) data that is difficult to understand. In this work, we present CTG-Insight, a multi-agent LLM system that provides structured interpretations of fetal heart rate (FHR) and uterine contraction (UC) signals. Drawing from established medical guidelines, CTG-Insight decomposes each CTG trace into five medically def…

YouTube is updating its monetization guidelines on July 15, defining "inauthentic" content as "mass-produced and repetitious" amid concerns over AI slop (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/07/…

YouTube prepares crackdown on 'mass-produced' and 'repetitive' videos, as concern over AI slop grows | TechCrunch
YouTube's creator liaison said the change is a "minor" update to YouTube's longstanding policies.

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering
Krishna Ronanki, Simon Arvidsson, Johan Axell
https://arxiv.org/abs/2507.03405

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering
The rapid emergence of generative AI models like Large Language Models (LLMs) has demonstrated its utility across various activities, including within Requirements Engineering (RE). Ensuring the quality and accuracy of LLM-generated output is critical, with prompt engineering serving as a key technique to guide model responses. However, existing literature provides limited guidance on how prompt engineering can be leveraged, specifically for RE activities. The objective of this study is to expl…

Exercise can reduce the risk of cancer patients dying by a third,
stop tumours coming back
and is even more effective than drugs,
according to the results of a landmark trial that could transform health guidelines worldwide.

Statistical methods: Basic concepts, interpretations, and cautions
Sander Greenland
https://arxiv.org/abs/2508.10168 https://arxiv.org/pdf/2508.10168

Statistical methods: Basic concepts, interpretations, and cautions
The study of associations and their causal explanations is a central research activity whose methodology varies tremendously across fields. Even within specialized subfields, comparisons across textbooks and journals reveals that the basics are subject to considerable variation and controversy. This variation is often obscured by the singular viewpoints presented within textbooks and journal guidelines, which may be deceptively written as if the norms they adopt are unchallenged. Furthermore, h…

R1-RE: Cross-Domain Relationship Extraction with RLVR
Runpeng Dai, Tong Zheng, Run Yang, Hongtu Zhu
https://arxiv.org/abs/2507.04642 https://

R1-RE: Cross-Domain Relationship Extraction with RLVR
Relationship extraction (RE) is a core task in natural language processing. Traditional approaches typically frame RE as a supervised learning problem, directly mapping context to labels-an approach that often suffers from poor out-of-domain (OOD) generalization. Inspired by the workflow of human annotators, we reframe RE as a reasoning task guided by annotation guidelines and introduce R1-RE, the first reinforcement learning with verifiable reward (RLVR) framework for RE tasks. Our method elic…

This https://arxiv.org/abs/2505.20552 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Effect of laboratory conditions on the perception of virtual stages for music
This manuscript presents initial findings critical for supporting augmented acoustics experiments in custom-made hearing booths, addressing a key challenge in ensuring perceptual validity and experimental rigor in these highly sensitive setups. This validation ensures our proposed methodology is sound, guarantees the reliability of future results, and lays the foundational groundwork for subsequent perceptual studies and the development of robust guidelines for laboratory design in virtual acou…

Six Guidelines for Trustworthy, Ethical and Responsible Automation Design
Matou\v{s} Jel\'inek, Nadine Schlicker, Ewart de Visser
https://arxiv.org/abs/2508.02371 https://…

Six Guidelines for Trustworthy, Ethical and Responsible Automation Design
Calibrated trust in automated systems (Lee and See 2004) is critical for their safe and seamless integration into society. Users should only rely on a system recommendation when it is actually correct and reject it when it is factually wrong. One requirement to achieve this goal is an accurate trustworthiness assessment, ensuring that the user's perception of the system's trustworthiness aligns with its actual trustworthiness, allowing users to make informed decisions about the extent to which …

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter
Ichiro Maruta, Toshiharu Sugie
https://arxiv.org/abs/2506.03650

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter
This paper investigates the effects of setting the sampling frequency significantly higher than conventional guidelines in system identification. Although continuous-time identification methods resolve the numerical difficulties encountered in discrete-time approaches when employing fast sampling (e.g., the problems caused by all poles approaching unity), the potential benefits of using sampling frequencies that far exceed traditional rules like the "ten times the bandwidth" guideline remained …

Understanding Ethical Practices in AI: Insights from a Cross-Role, Cross-Region Survey of AI Development Teams
Wilder Baldwin, Sepideh Ghanavati, Manuel Woersdoerfer
https://arxiv.org/abs/2508.09219

Understanding Ethical Practices in AI: Insights from a Cross-Role, Cross-Region Survey of AI Development Teams
Recent advances in AI applications have raised growing concerns about the need for ethical guidelines and regulations to mitigate the risks posed by these technologies. In this paper, we present a mixed-method survey study - combining statistical and qualitative analyses - to examine the ethical perceptions, practices, and knowledge of individuals involved in various AI development roles. Our survey includes 414 participants from 43 countries, representing roles such as AI managers, analysts, d…

"87 per cent of UK schools in toxic air zones, study finds"
#UK #UnitedKingdom #Schools #Education

87 per cent of UK schools in toxic air zones, study finds
More than 25,000 British schools are in areas exceeding World Health Organization (WHO) air quality guidelines

#Facebook #AntiFascism #Fascism #Meme

EGNInfoLeaker: Unveiling the Risks of Public Key Reuse and User Identity Leakage in Blockchain
Chenyu Li, Xueping Liang, Xiaorui Gong, Xiu Zhang
https://arxiv.org/abs/2507.01635

EGNInfoLeaker: Unveiling the Risks of Public Key Reuse and User Identity Leakage in Blockchain
While Ethereum's discovery protocols (Discv4/ Discv5) incorporate robust cryptographic designs to protect user privacy, real-world deployment reveals critical vulnerabilities when users deviate from security guidelines. In this paper, we design a system called EGNInfoLeaker. Our study is the first work that uncovers widespread public key reuse across Ethereum's peer-to-peer networks - a practice that fundamentally undermines the protocol's privacy guarantees. Through systematic analysis of 300 …

Do AI Companies Make Good on Voluntary Commitments to the White House?
Jennifer Wang, Kayla Huang, Kevin Klyman, Rishi Bommasani
https://arxiv.org/abs/2508.08345 https://…

Do AI Companies Make Good on Voluntary Commitments to the White House?
Voluntary commitments are central to international AI governance, as demonstrated by recent voluntary guidelines from the White House to the G7, from Bletchley Park to Seoul. How do major AI companies make good on their commitments? We score companies based on their publicly disclosed behavior by developing a detailed rubric based on their eight voluntary commitments to the White House in 2023. We find significant heterogeneity: while the highest-scoring company (OpenAI) scores a 83% overall on…

StorySage: Conversational Autobiography Writing Powered by a Multi-Agent Framework
Shayan Talaei, Meijin Li, Kanu Grover, James Kent Hippler, Diyi Yang, Amin Saberi
https://arxiv.org/abs/2506.14159

StorySage: Conversational Autobiography Writing Powered by a Multi-Agent Framework
Every individual carries a unique and personal life story shaped by their memories and experiences. However, these memories are often scattered and difficult to organize into a coherent narrative, a challenge that defines the task of autobiography writing. Existing conversational writing assistants tend to rely on generic user interactions and pre-defined guidelines, making it difficult for these systems to capture personal memories and develop a complete biography over time. We introduce Story…

Leaked documents: Meta is training custom AI chatbots to message users unprompted, following up on past chats to boost engagement on its AI Studio platform (Business Insider)
https://www.businessinsider.com/meta-ai-studio-…

Leaked docs show Meta training custom AI chatbots to be more proactive
Leaked guidelines show how Meta's custom AI chatbots are trained to get more proactive, following up with users to increase retention.

Windowing in terahertz time-domain spectroscopy: resolving resonances in thin-film samples
Esteban Marulanda, Fernanda L. Costa, Nicolas M. Kawahala, Felix G. G. Hernandez
https://arxiv.org/abs/2507.00729

Windowing in terahertz time-domain spectroscopy: resolving resonances in thin-film samples
Terahertz time-domain spectroscopy (THz-TDS) has become a powerful tool for investigating the optical properties of thin films, offering direct access to the complex permittivity in the terahertz range. However, in transmission-based measurements of thin films on thick substrates, multiple reflections and limited time windows can introduce artifacts that obscure resonant features such as phonon modes. Time-domain windowing is widely employed to mitigate these effects, yet systematic guidelines …

Ten Simple Rules for Catalyzing Collaborations and Building Bridges between Research Software Engineers and Software Engineering Researchers
Nasir U. Eisty, Jeffrey C. Carver, Johanna Cohoon, Ian A. Cosden, Carole Goble, Samuel Grayson
https://arxiv.org/abs/2506.03012

Ten Simple Rules for Catalyzing Collaborations and Building Bridges between Research Software Engineers and Software Engineering Researchers
In the evolving landscape of scientific and scholarly research, effective collaboration between Research Software Engineers (RSEs) and Software Engineering Researchers (SERs) is pivotal for advancing innovation and ensuring the integrity of computational methodologies. This paper presents ten strategic guidelines aimed at fostering productive partnerships between these two distinct yet complementary communities. The guidelines emphasize the importance of recognizing and respecting the cultural …

The Teacher's Dilemma: Balancing Trade-Offs in Programming Education for Emergent Bilingual Students
Emma R. Dodoo, Tamara Nelson-Fromm, Mark Guzdial
https://arxiv.org/abs/2506.14147

The Teacher's Dilemma: Balancing Trade-Offs in Programming Education for Emergent Bilingual Students
K-12 computing teachers must navigate complex trade-offs when selecting programming languages and instructional materials for classrooms with emergent bilingual students. While they aim to foster an inclusive learning environment by addressing language barriers that impact student engagement, they must also align with K-12 computer science curricular guidelines and prepare students for industry-standard programming tools. Because programming languages predominantly use English keywords and most…

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
Ivania Donoso-Guzm\'an, Krist\'yna Sirka Kacaf\'irkov\'a, Maxwell Szymanski, An Jacobs, Denis Parra, Katrien Verbert
https://arxiv.org/abs/2506.13904

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
Despite promising developments in Explainable Artificial Intelligence, the practical value of XAI methods remains under-explored and insufficiently validated in real-world settings. Robust and context-aware evaluation is essential, not only to produce understandable explanations but also to ensure their trustworthiness and usability for intended users, but tends to be overlooked because of no clear guidelines on how to design an evaluation with users. This study addresses this gap with two ma…

Transporting results from a trial to an external target population when trial participation impacts adherence
Rachael K. Ross, Ivan Diaz, Amy J. Pitts, Elizabeth A. Stuart, Kara E. Rudolph
https://arxiv.org/abs/2506.00157

Transporting results from a trial to an external target population when trial participation impacts adherence
Randomized clinical trials are considered the gold standard for informing treatment guidelines, but results may not generalize to real-world populations. Generalizability is hindered by distributional differences in baseline covariates and treatment-outcome mediators. Approaches to address differences in covariates are well established, but approaches to address differences in mediators are more limited. Here we consider the setting where trial activities that differ from usual care settings (e…

Toward Automated Hypervisor Scenario Generation Based on VM Workload Profiling for Resource-Constrained Environments
Hyunwoo Kim, Jaeseong Lee, Sunpyo Hong, Changmin Han
https://arxiv.org/abs/2508.08952

Toward Automated Hypervisor Scenario Generation Based on VM Workload Profiling for Resource-Constrained Environments
In the automotive industry, the rise of software-defined vehicles (SDVs) has driven a shift toward virtualization-based architectures that consolidate diverse automotive workloads on a shared hardware platform. To support this evolution, chipset vendors provide board support packages (BSPs), hypervisor setups, and resource allocation guidelines. However, adapting these static configurations to varying system requirements and workloads remain a significant challenge for Tier 1 integr…

Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation)
Anna Romanova
https://arxiv.org/abs/2508.03769

Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation)
The study addresses the paradigm shift in corporate management, where AI is moving from a decision support tool to an autonomous decision-maker, with some AI systems already appointed to leadership roles in companies. A central problem identified is that the development of AI technologies is far outpacing the creation of adequate legal and ethical guidelines. The research proposes a "reference model" for the development and implementation of autonomous AI systems in corporate management. This…

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
Zhenchang Xing, Yang Liu, Zhuo Cheng, Qing Huang, Dehai Zhao, Daniel Sun, Chenhua Liu
https://arxiv.org/abs/2508.06942

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
With the growing capabilities of large language models (LLMs), they are increasingly applied in areas like intelligent customer service, code generation, and knowledge management. Natural language (NL) prompts act as the ``APIs'' for human-LLM interaction. To improve prompt quality, best practices for prompt engineering (PE) have been developed, including writing guidelines and templates. Building on this, we propose Controlled NL for Prompt (CNL-P), which not only incorporates PE best practice…

Virtual Reality User Interface Design: Best Practices and Implementation
Esin Mehmedova, Santiago Berrezueta-Guzman, Stefan Wagner
https://arxiv.org/abs/2508.09358 https://

Virtual Reality User Interface Design: Best Practices and Implementation
Designing effective user interfaces (UIs) for virtual reality (VR) is essential to enhance user immersion, usability, comfort, and accessibility in virtual environments. Despite the growing adoption of VR across domains such as education, healthcare, gaming, and rehabilitation, there is a noticeable lack of unified and comprehensive design guidelines for VR UI design. To address this gap, we conducted a systematic literature review to identify existing best practices and propose complete and un…

Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction
Stefan Pasch, Min Chul Cha
https://arxiv.org/abs/2508.05913 https://

Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction
As AI systems become increasingly embedded in organizational workflows and consumer applications, ethical principles such as fairness, transparency, and robustness have been widely endorsed in policy and industry guidelines. However, there is still scarce empirical evidence on whether these principles are recognized, valued, or impactful from the perspective of users. This study investigates the link between ethical AI and user satisfaction by analyzing over 100,000 user reviews of AI products …

Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements
Tim Puhlf\"ur{\ss}, Julia Butzke, Walid Maalej
https://arxiv.org/abs/2507.06014

Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements
Model cards are the primary documentation framework for developers of artificial intelligence (AI) models to communicate critical information to their users. Those users are often developers themselves looking for relevant documentation to ensure that their AI systems comply with the ethical requirements of existing laws, guidelines, and standards. Recent studies indicate inadequate model documentation practices, suggesting a gap between AI requirements and current practices in model documentat…

Tool-Assisted Conformance Checking to Reference Process Models
Bernhard Rumpe, Max Stachon, Sebastian St\"uber, Valdes Voufo
https://arxiv.org/abs/2508.00738 https://

Tool-Assisted Conformance Checking to Reference Process Models
Reference models convey best practices and standards. The reference frameworks necessitate conformance checks to ensure adherence to established guidelines and principles, which is crucial for maintaining quality and consistency in various processes. This paper explores automated conformance checks for concrete process models against reference models using causal dependency analysis of tasks and events. Existing notions of conformance checking for process models focus on verifying process execu…

iBreath: Usage Of Breathing Gestures as Means of Interactions
Mengxi Liu, Daniel Gei{\ss}ler, Deepika Gurung, Hymalai Bello, Bo Zhou, Sizhen Bian, Paul Lukowicz, Passant Elagroudy
https://arxiv.org/abs/2507.04162

iBreath: Usage Of Breathing Gestures as Means of Interactions
Breathing is a spontaneous but controllable body function that can be used for hands-free interaction. Our work introduces "iBreath", a novel system to detect breathing gestures similar to clicks using bio-impedance. We evaluated iBreath's accuracy and user experience using two lab studies (n=34). Our results show high detection accuracy (F1-scores > 95.2%). Furthermore, the users found the gestures easy to use and comfortable. Thus, we developed eight practical guidelines for the future develo…

This https://arxiv.org/abs/2505.09880 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Determining Absence of Unreasonable Risk: Approval Guidelines for an Automated Driving System Deployment
This paper provides an overview of how the determination of absence of unreasonable risk can be operationalized. It complements previous theoretical work published by existing developers of Automated Driving Systems (ADS) on the overall engineering practices and methodologies for readiness determination. Readiness determination is, at its core, a risk assessment process. It is aimed at evaluating the residual risk associated with a new deployment. The paper proposes methodological criteria to g…

ExplorAR: Assisting Older Adults to Learn Smartphone Apps through AR-powered Trial-and-Error with Interactive Guidance
Jiawei Li, Linjie Qiu, Zhiqing Wu, Qiongyan Chen, Ziyan Wang, Mingming Fan
https://arxiv.org/abs/2508.01282

ExplorAR: Assisting Older Adults to Learn Smartphone Apps through AR-powered Trial-and-Error with Interactive Guidance
Older adults tend to encounter challenges when learning to use new smartphone apps due to age-related cognitive and physical changes. Compared to traditional support methods such as video tutorials, trial-and-error allows older adults to learn to use smartphone apps by making and correcting mistakes. However, it remains unknown how trial-and-error should be designed to empower older adults to use smartphone apps and how well it would work for older adults. Informed by the guidelines derived fro…

Comparative Analysis of the Code Generated by Popular Large Language Models (LLMs) for MISRA C Compliance
Malik Muhammad Umer
https://arxiv.org/abs/2506.23535

Comparative Analysis of the Code Generated by Popular Large Language Models (LLMs) for MISRA C++ Compliance
Safety-critical systems are engineered systems whose failure or malfunction could result in catastrophic consequences. The software development for safety-critical systems necessitates rigorous engineering practices and adherence to certification standards like DO-178C for avionics. DO-178C is a guidance document which requires compliance to well-defined software coding standards like MISRA C++ to enforce coding guidelines that prevent the use of ambiguous, unsafe, or undefined constructs. Larg…

Exploring AR Label Placements in Visually Cluttered Scenarios
Ji Hwan Park, Braden Roper, Amirhossein Arezoumand, Tien Tran
https://arxiv.org/abs/2507.00198

Exploring AR Label Placements in Visually Cluttered Scenarios
We investigate methods for placing labels in AR environments that have visually cluttered scenes. As the number of items increases in a scene within the user' FOV, it is challenging to effectively place labels based on existing label placement guidelines. To address this issue, we implemented three label placement techniques for in-view objects for AR applications. We specifically target a scenario, where various items of different types are scattered within the user's field of view, and multip…