Results 91 to 100 of about 7,572,986 (341)
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 +4 more
wiley +1 more source
Using Oral Methods for European Legal History: Methods, Sources, Projects
Sigfrido M. Ramírez Pérez +1 more
doaj
Ancient Greek Nomos and Modern Legal Theory: A Reappraisal
Lukas van den Berge
openalex +1 more source
Large Language Model‐Based Chatbots in Higher Education
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 +4 more
wiley +1 more source
Upon the abolition of slavery across the British Empire in 1833–1834, the British Caribbean had to revise their labour laws in accordance with, and in a way conducive to, the transition from enslaved to free labour. To do so, they drew on English labour
Matilde Cazzola
doaj +1 more source
Contemporary Legal Istimbat: Study on the Theory of Changes in Fatwa According to Yusuf Qardhawi
Amrin Amrin, Amirullah Amirullah
openalex +2 more sources
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source
Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector
Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley +1 more source
Abstract Background Resettled refugee families face elevated mental health risks, compounded by structural and cultural barriers. The Family Strengthening Intervention for Resettlement (FSIR), co‐developed with resettled refugee communities, aims to improve family functioning and child mental health.
Euijin Jung +7 more
wiley +1 more source

