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Sources: Disney is laying off several hundred employees globally across multiple teams, including TV and film (Todd Spangler/Variety)
https://variety.com/2025/tv/news/disney-mass-layoffs-tv-film-finance-departments-1236415786/

Disney Mass Layoffs Cut Across TV, Film, Finance and Other Departments
Disney is laying off several hundred employees globally across multiple teams.

"How farmers are becoming unexpected heroes in the bird migration crisis"
#Birds #Farming #Agriculture

How farmers are becoming unexpected heroes in the bird migration crisis
Across the Americas, rice and crawfish farmers are helping keep migrating birds alive by transforming their land into makeshift wetlands.Lela Nargi reports for Knowable Magazine.In short:Bird populations like ducks, cranes, and sandpipers are plummeting as wetlands vanish due to climate change and d...

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
Nariman Naderi, Zahra Atf, Peter R Lewis, Aref Mahjoub far, Seyed Amir Ahmad Safavi-Naini, Ali Soroush
https://arxiv.org/abs/2506.00072

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
This paper investigates how prompt engineering techniques impact both accuracy and confidence elicitation in Large Language Models (LLMs) applied to medical contexts. Using a stratified dataset of Persian board exam questions across multiple specialties, we evaluated five LLMs - GPT-4o, o3-mini, Llama-3.3-70b, Llama-3.1-8b, and DeepSeek-v3 - across 156 configurations. These configurations varied in temperature settings (0.3, 0.7, 1.0), prompt styles (Chain-of-Thought, Few-Shot, Emotional, Exper…

Strengthening Cybersecurity Resilience in Agriculture Through Educational Interventions: A Case Study of the Ponca Tribe of Nebraska
George Grispos, Logan Mears, Larry Loucks
https://arxiv.org/abs/2505.23800

Strengthening Cybersecurity Resilience in Agriculture Through Educational Interventions: A Case Study of the Ponca Tribe of Nebraska
The increasing digitization of agricultural operations has introduced new cybersecurity challenges for the farming community. This paper introduces an educational intervention called Cybersecurity Improvement Initiative for Agriculture (CIIA), which aims to strengthen cybersecurity awareness and resilience among farmers and food producers. Using a case study that focuses on farmers from the Ponca Tribe of Nebraska, the research evaluates pre- and post- intervention survey data to assess partici…

Diffusion Models for Increasing Accuracy in Olfaction Sensors and Datasets
Kordel K. France, Ovidiu Daescu
https://arxiv.org/abs/2506.00455 https://…

Diffusion Models for Increasing Accuracy in Olfaction Sensors and Datasets
Robotic odour source localization (OSL) is a critical capability for autonomous systems operating in complex environments. However, current OSL methods often suffer from ambiguities, particularly when robots misattribute odours to incorrect objects due to limitations in olfactory datasets and sensor resolutions. To address this challenge, we introduce a novel machine learning method using diffusion-based molecular generation to enhance odour localization accuracy that can be used by itself or w…

Random Utility with Aggregated Alternatives
Yuexin Liao, Kota Saito, Alec Sandroni
https://arxiv.org/abs/2506.00372 https://arxiv.org…

Random Utility with Aggregated Alternatives
This paper studies when discrete choice data involving aggregated alternatives such as categorical data or an outside option can be rationalized by a random utility model (RUM). Aggregation introduces ambiguity in composition: the underlying alternatives may differ across individuals and remain unobserved by the analyst. We characterize the observable implications of RUMs under such ambiguity and show that they are surprisingly weak, implying only monotonicity with respect to adding aggregated …

🎉 perfSONAR turns 20! 🎉
What started with a single line of code in 2001 has grown into a worldwide network performance monitoring infrastructure, spanning all 7 continents with:
✅ 20 years of continuous operation
✅ 6 leading R&E networks driving its development
✅ over 2,000 registered instances deployed across 1,000 organizations
Learn more about perfSONAR’s journey and impact over the past 20 years:

perfSONAR Celebrates 20 Years of Simplifying Global Research Collaboration Through Standardized Network Measurement and Testing | GÉANT CONNECT Online
April 2, 2025 — The global research and education (R&E) community is celebrating a major milestone in high-performance networking and collaboration: the 20th anniversary of perfSONAR. Since April 2005, this powerful, open-source toolkit has enabled researchers and network operators to measure and troubleshoot performance across diverse network environments. perfSONAR’s reach has extended to all seven

Partially-shared Imaging Regression on Integrating Heterogeneous Brain-Cognition Associations across Alzheimer's Diagnoses
Yang Sui, Qi Xu, Ting Li, Yang Bai, Annie Qu
https://arxiv.org/abs/2505.24259

Partially-shared Imaging Regression on Integrating Heterogeneous Brain-Cognition Associations across Alzheimer's Diagnoses
This paper is motivated by the heterogeneous associations among demographic covariates, imaging data, and cognitive performances across different diagnostic groups within the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. We propose a novel PArtially-shared Imaging Regression (PAIR) model with smooth spatial component integration to capture heterogeneous imaging coefficients across multiple data sources. The model assumes that each imaging coefficient can be represented as a weighted…

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System
Vahid Danesh, Paul Arauz, Maede Boroji, Andrew Zhu, Mia Cottone, Elaine Gould, Fazel A. Khan, Imin Kao
https://arxiv.org/abs/2505.23984

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System
Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional anatomy and limited surgical visualization. Current navigation systems and patient-specific instruments, while accurate, present limitations including high costs, radiation exposure, workflow disruption, long production time, and lack of reusability. This study evaluates a real-time vision-guided surgical system combined with modular jigs to improve accuracy in pelvic bone tumor resections. A vision-g…

This https://arxiv.org/abs/2409.03219 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Content Moderation by LLM: From Accuracy to Legitimacy
One trending application of LLM (large language model) is to use it for content moderation in online platforms. Most current studies on this application have focused on the metric of accuracy -- the extent to which LLMs make correct decisions about content. This article argues that accuracy is insufficient and misleading because it fails to grasp the distinction between easy cases and hard cases, as well as the inevitable trade-offs in achieving higher accuracy. Closer examination reveals that …