Tootfinder

Meet Aleksandra Lazić – the first recipient of the Sarah Jones Award!
Recently, our very own Leonardo Marino sat down with Aleksandra to talk about her passion for open science, the journey that led her to receiving the award, and what’s next on the horizon.
➡️ Read her insights in the highlights below; discover the full interview here:

Interview with Aleksandra Lazić – first recipient of the Sarah Jones Award | GÉANT CONNECT Online
Aleksandra Lazić, PhD and co-founder of REPOPSI, was awarded the Sarah Jones Award for her outstanding contribution to Open Science collaboration and inclusion.

Mexican 4-year-old allowed to continue receiving lifesaving care in US (Politico)
https://www.politico.com/news/2025/06/03/mexican-4-year-old-allowed-to-continue-receiving-lifesaving-care-in-us-00384367
http://www.memeorandum.com/250604/p4#a250604p4

Want super-thorough AI responses by applying deep thought & reasoning AI technology?
Any Microsoft 365 Copilot (Commercial) licensed user can now use the Researcher & Analyst agents at no additional cost! These new agents provide very thorough responses to help you collect FACTS on informational topics & review DATA to derive insights... with human language.
✅ #Researcher

Researcher and Analyst are now generally available | Microsoft 365 Blog
We’re excited to announce the general availability of Researcher and Analyst, two first-of-their-kind reasoning agents designed for work. Learn more.

BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman, AKM Mahbubur Rahman, Amin Ahsan Ali
https://arxiv.org/abs/2506.01817

BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
We present Team BD's submission to the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors, under Track 1 (Mistake Identification) and Track 2 (Mistake Location). Both tracks involve three-class classification of tutor responses in educational dialogues - determining if a tutor correctly recognizes a student's mistake (Track 1) and whether the tutor pinpoints the mistake's location (Track 2). Our system is built on MPNet, a Transformer-based language model that combines …

The optimization of crop response to climatic stress through modulation of plant stress response mechanisms. Opportunities for biostimulants and plant hormones to meet climate challenges
Jing Li, Giulia Forghieri, Danny Geelen, Patrick du Jardin, Patrick H. Brown
https://arxiv.org/abs/2506.01714

The optimization of crop response to climatic stress through modulation of plant stress response mechanisms. Opportunities for biostimulants and plant hormones to meet climate challenges
Climate change is a major threat to crop potential and is characterized by both long-term shifts in temperature and precipitation patterns as well as increased occurrence of extreme weather events, these extreme weather events are the most immediate and intractable threat to agriculture. Crop resilience in the face of stress depends upon the speed and effectiveness with which plants and cropping systems sense and respond to that stress. A variety of agronomic practices including breeding, exoge…

This https://arxiv.org/abs/2409.10289 has been replaced.
link: https://scholar.google.com/scholar?q=a

ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
Empathetic response generation necessitates the integration of emotional and intentional dynamics to foster meaningful interactions. Existing research either neglects the intricate interplay between emotion and intent, leading to suboptimal controllability of empathy, or resorts to large language models (LLMs), which incur significant computational overhead. In this paper, we introduce ReflectDiffu, a lightweight and comprehensive framework for empathetic response generation. This framework inc…

Encouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzayev
https://arxiv.org/abs/2506.00682

Encouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications
Context: As generative AI (GenAI) tools such as ChatGPT and GitHub Copilot become pervasive in education, concerns are rising about students using them to complete rather than learn from coursework-risking overreliance, reduced critical thinking, and long-term skill deficits. Objective: This paper proposes and empirically applies a causal model to help educators scaffold responsible GenAI use in Software Engineering (SE) education. The model identifies how professor actions, student factors, …

Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones
Fatemeh Banani Ardecani, Omidreza Shoghli
https://arxiv.org/abs/2506.03113

Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones
This paper presents a multi-stage experimental framework that integrates immersive Virtual Reality (VR) simulations, wearable sensors, and advanced signal processing to investigate construction workers neuro-physiological stress responses to multi-sensory AR-enabled warnings. Participants performed light- and moderate-intensity roadway maintenance tasks within a high-fidelity VR roadway work zone, while key stress markers of electrodermal activity (EDA), heart rate variability (HRV), and electr…

Maximal response to a mechanical leader at critical group size in ant collectives
Atanu Chatterjee, Tom Tzook, Nir Gov, Ofer Feinerman
https://arxiv.org/abs/2506.01209

Maximal response to a mechanical leader at critical group size in ant collectives
It is widely recognized that biological collectives operate near criticality to amplify their capability of collective response. The peak in susceptibility near criticality renders these groups highly responsive to external stimuli. While this phenomenon has been recognized and supported by evidence from theory, a direct experimental demonstration has been elusive. To bridge this gap, here we record the response of a group of Paratrechina longicornis ants to external stimuli as they join effort…

Trump Administration Backs Off Effort to Collect Data on Food Stamp Recipients (Zach Montague/New York Times)
https://www.nytimes.com/2025/06/03/us/politics/trump-administration-personal-data-food-stamp-recipients.html?unlocked_article_code=1.ME8.Ii3t.2hf3Htm_rfho&smid=url-share
http://www.memeorandum.com/250603/p131#a250603p131