Magnetic particle capture in high‐gradient magnetic separation: A theoretical and experimental study
Abstract High‐gradient magnetic separation (HGMS) has traditionally been used in mineral processing, with many effective models developed for typically employed rod‐wire shaped matrices. However, its potential in bioprocessing, especially for high‐value products, introduces new demands on plant and matrix design. This study presents a multi‐scale model
Marko Tesanovic+3 more
wiley +1 more source
Partial waivers: PEPFAR's 2025 funding suspension and the looming HIV/AIDS catastrophe in Sub-Saharan Africa. [PDF]
Ashinze P, Owoicho AI, Olanite M.
europepmc +1 more source
International Humanitarian Law and Human Rights Law
Louise Doswald-Beck, Sylvain Vité
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
A severe dismantling of LGBTQI+ health equity and equality: impact of new U.S. policies on the global response to HIV. [PDF]
Cahill SR.
europepmc +1 more source
Fairness in Federated Learning: Trends, Challenges, and Opportunities
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar+2 more
wiley +1 more source
The international community is failing to protect healthcare in armed conflict.
Brennan R, Sheraz M.
europepmc +1 more source
Ethical implications related to processing of personal data and artificial intelligence in humanitarian crises: a scoping review. [PDF]
Kreutzer T+6 more
europepmc +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
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+7 more
wiley +1 more source