Results 91 to 100 of about 7,572,986 (341)

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Using Oral Methods for European Legal History: Methods, Sources, Projects

open access: yesRechtsgeschichte - Legal History, 2021
Sigfrido M. Ramírez Pérez   +1 more
doaj  

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced 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   +4 more
wiley   +1 more source

»There Is in the Great Big Law Too Much Bad Little Law«: The Slavery Abolition Act and Labour Laws in the Post-Emancipation British West Indies

open access: yesRechtsgeschichte - Legal History
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

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Delivering a family‐based child mental health promotion program among two resettled refugee communities during the COVID‐19 pandemic: Lessons learned in a hybrid type II implementation‐effectiveness randomized controlled trial

open access: yesAmerican Journal of Community Psychology, EarlyView.
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

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