Results 131 to 140 of about 2,048,445 (184)

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +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

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

Advanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou, Qi Liu, Huifang Ma, Yilong Qu, Zhicheng Ji   +4 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source

Osmoxylon‐like fossils from early Eocene South America: West Gondwana–Malesia connections in Araliaceae

American Journal of Botany, EarlyView.
Abstract Premise Araliaceae comprise a moderately diverse, predominantly tropical angiosperm family with a limited fossil record. Gondwanan history of Araliaceae is hypothesized in the literature, but no fossils have previously been reported from the former supercontinent.
Peter Wilf
wiley   +1 more source

Innovating to amplify the voices of young people from marginalized ethnic migrant backgrounds

American Journal of Community Psychology, EarlyView.
Abstract The meaningful participation of young people from marginalized ethnic backgrounds in civic processes is central to the social cohesion of increasingly diverse liberal democracies, but their participation is compromised by a range of barriers resulting in decision‐making that is disconnected from their lives.
Kelsey L. Deane, John Fenaughty, Pat Bullen, Maria Ahmad, Yimei Chuah, Jade Tang‐Taylor, Dione Joseph, Jay Marlowe   +7 more
wiley   +1 more source

“Who's breaking the law … not us, them!”: Inside immigration detention in Portugal

American Journal of Community Psychology, EarlyView.
Abstract In this paper, we examine immigration detention in Portugal, a system whose daily operations and inherent violence are overlooked in both public and academic discourses. Even within community psychology, discussions on immigration detention have largely remained on the fringes of scholarly debates. Guided by a justice‐centered ecological lens,
Francesca Esposito, Federica de Lellis, Federica De Cordova, Erica Briozzo   +3 more
wiley   +1 more source

Service capacity and disability resource integration: A strategic survey of immigrant and refugee‐serving agencies in Illinois

American Journal of Community Psychology, EarlyView.
Abstract Immigrants and refugees in the United States often face significant barriers in accessing social services, including mental health support, legal assistance, ESL or related education, housing, vocational training, workforce resources, transportation, and citizenship support. This article explores the strengths and challenges of community‐based
Rooshey Hasnain, Charles E. Hounmenou, Adrienne B. Smith, Timothy P. Johnson, Diane M. Kondratowicz, Jamie M. Taradash, Akash Rohidas Shinde, Francisco Alvarado   +7 more
wiley   +1 more source