Results 141 to 150 of about 385,428 (250)

Regenerating physiotherapy curriculum in higher education: diving into planetary health and service-learning conceptual synergies. [PDF]

Front Public Health
Paz-Lourido B, Ribeiro-Chaves Á.
europepmc   +1 more source

Fundamentals of Thermal Transport and Energy Conversion in Ultra‐High Temperature Ceramics: From Microscale Mechanisms to Macroscopic Properties

Advanced Science, EarlyView.
This review critically examines thermal transport and radiative properties of ultra‐high temperature ceramics for hypersonic flight, advanced nuclear systems, and next‐generation energy conversion devices. It explores phonon–photon–electron interactions, microstructural engineering, thermoelectric conversion, and machine learning‐accelerated multiscale
Zhipeng Pei, Yue Li, Jiayu Xing, Yue Zhu, Ru Zhang, Huan Wu, Zihao Qin, Gang Pei, Man Li   +8 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Editorial: Evidence-based outreach/service-learning to improve health-related self-efficacy through STEMM education. [PDF]

Front Public Health
Porter-Stransky KA, Restini C, Vollbrecht PJ, Weiler T, Wisco JJ.   +4 more
europepmc   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Posture, proximity, and positionality: the power of community engaged service-learning in public health leadership education. [PDF]

Front Public Health
Chu JC, Marrero A.
europepmc   +1 more source

Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design

Advanced Science, EarlyView.
This study reveals how surfactant‐driven interfacial design governs the assembly and stability of protein@MOF composites. Using lipid‐based nonionic surfactants, we modulate protein–MOF interactions to improve encapsulation efficiency, MOF crystallization, and catalytic performance.
Ehsan Rashidniyaghi, Mohammad Khavani, Carlie Coerver, Ruibin Liang, Raheleh Ravanfar   +4 more
wiley   +1 more source

Addressing oral health equity through community service-learning and person-centered care in Ontario: patient and provider perspectives. [PDF]

PLoS One
Jessani A, Gadoni Giovanni Borges G, Torti J, Hollingham Z, Vos TP, Roden N, McLean S.   +6 more
europepmc   +1 more source

Heterostructured Materials for Room‐Temperature Na‐S Batteries: Directional Design Strategies and Multifaceted Applications

Advanced Science, EarlyView.
In this work, heterostructured materials for room‐temperature Na‐S batteries are comprehensively reviewed. The electrochemical mechanisms of Na‐S batteries based on various redox pathways are clarified. The intrinsic functionalities and design principles of heterostructured materials are summarized.
Yeqing Yang, Xue Li, Kunjie Zhu, Xiang‐Long Huang, Yun‐Xiao Wang   +4 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source