Results 161 to 170 of about 4,362,643 (300)

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

Agribusiness, EarlyView.
ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani, Anna‐Liisa Ihuhwa, Armine Poghosyan   +2 more
wiley   +1 more source

The Reverse Risk Register Approach to Understanding Systemic Factors in Risk Analysis and Management Case Studies. [PDF]

Risk Anal
Thekdi S, Aven T.
europepmc   +1 more source

Workplace Harassment and Consideration of Leaving Surgical Practice: A Nationwide Survey by the Japanese Society of Gastroenterological Surgery

Annals of Gastroenterological Surgery, EarlyView.
In this nationwide survey of 1967 members of the Japanese Society of Gastroenterological Surgery, 66% reported experiencing workplace harassment, and 56% of those affected had considered leaving surgical practice. These findings highlight the need for sustained, society‐wide efforts to prevent harassment and foster respectful and psychologically safe ...
Keisuke Kurimoto, Tsutomu Fujii, Yoshihiro Shirai, Atsuro Fujinaga, Masayuki Fukumoto, Sonoko Ishida, Koya Hida, Chie Tanaka, Tsunekazu Mizushima, Sachiyo Nomura, Ken Shirabe   +10 more
wiley   +1 more source

Society for Maternal-Fetal Medicine Special Statement: Considerations for management of high-risk pregnancies when abortion care is restricted. [PDF]

Pregnancy (Hoboken)
Society for Maternal‐Fetal Medicine (SMFM), Premkumar A, Crosland A, Dukhovny S, Khoury R, Lappen JR, Ramdaney A, Sakowicz A, Zahedi-Spung L, SMFM Reproductive Health Committee.   +9 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Current Standards of Monitoring Models in Healthcare Settings

Advanced Intelligent Discovery, EarlyView.
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay, Daljit Takher, Wenting Liu, Emily Wittrup, Gilbert S. Omenn, Kayvan Najarian   +5 more
wiley   +1 more source

Algorithmic governance at work: a legal-sociological and policy analysis of AI regulation, institutional power and labor rights. [PDF]

Front Sociol
Olimid AP, Georgescu CM, Olimid DA, Georgescu SD, Gherghe CL.   +4 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Legal protection of personal health information in medical AI applications in China: challenges and regulatory responses. [PDF]

Front Public Health
Tian L, Ning R.
europepmc   +1 more source