Results 141 to 150 of about 1,125,786 (343)

Implementing an integrated epistemic framework: a multimodal active learning approach in translational neuroscience

Advances in Physiology Education
The theoretical and practical aspects of science education are often uncoupled, resulting in decontextualized learning. To address this concern, the present work adopts the view that scientific discovery is a form of learning and that its hypothetico ...
Kambiz N. Alavian
doaj   +1 more source

Nanozyme Microrobots: Programmable Spatiotemporal Catalysis for Targeted Therapy and Diagnostics

Advanced Science, EarlyView.
This review presents nanozyme microrobots as emerging catalytic systems that integrate mobility, external actuation, and adaptive reactivity to achieve precise biochemical functions. By examining mobility‐regulated catalysis, spatial targeting, integrated designs, and translational demonstrations, the article highlights how nanozyme robotics enables ...
Hong Huy Tran, Nil Kanatha Pandey, David P. Cormode, Daeyeon Lee, Edward Steager, Hyun Koo   +5 more
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Research on the extension of respiratory interaction modalities in virtual reality technology and innovative methods for healing anxiety disorders

Scientific Reports
The timely alleviation and healing of anxiety is crucial for preventing anxiety disorders. This study explores innovative digital approaches for anxiety relief by integrating virtual reality (VR) and multimodal interaction theories and technologies with ...
Shaoting Zeng, Liyi Chen, Suihong Lan
doaj   +1 more source

Itzamna: A multimodal artificial intelligence platform for comprehensive transversal skills assessment

SoftwareX
Transversal skills, such as decision-making, leadership, and creativity, are relevant in areas like education and recruitment. Traditional skill assessments often lack scalability and objectivity. This paper introduces a novel software tool for assessing
Jared D.T. Guerrero-Sosa, Francisco P. Romero, Víctor Hugo Menéndez-Domínguez, Jesus Serrano-Guerrero, Andres Montoro-Montarroso, Jose A. Olivas   +5 more
doaj   +1 more source

Discriminating between intentional and unintentional gaze fixation using multimodal-based fuzzy logic algorithm for gaze tracking system with NIR camera sensor [PDF]

, 2016
Rizwan Ali Naqvi, Kang Ryoung Park
openalex   +1 more source

A Pedagogy of Scientific Explanation (I.) Inductive Logic – a Multimodal Approach

, 2022
Mark Thornberg
openalex   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source