Results 121 to 130 of about 70,221 (264)

Strategies for mitigating artificial intelligence bias in healthcare: a systematic review. [PDF]

JAMIA Open
Gadhoumi K, Senior R, Wei S, Ledbetter L, Green MD, Bonner BD, Mosley Y, Seidler K, Green K, Lee D, Hong C, Guilamo Ramos V, Cary MP.   +12 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

A fairness framework for natural language processing in substance use disorders and overdose. [PDF]

PLOS Digit Health
Zhu DT, Mitragotri S, Tamang S.
europepmc   +1 more source

TME/NIR Dual‐Responsive Zinc‐Based Targeted Nanoagonist for Multimodal Amplification of STING‐Mediated Cancer Immunotherapy

Advanced Science, EarlyView.
A multifunctional nanoagonist (cDZ@IP) enables nano‐metabolite–driven multimodal activation of the STING pathway and enhanced immune recognition, achieving potent antitumor immunity and suppressing tumor growth and metastasis. This strategy highlights the rational design of therapeutic metabolites and establishes a new paradigm bridging nanomedicine ...
Kepeng Hu, Jiawei Wang, Wei Zhang, Zhixuan Wu, Jing Chen, Yujing He, Xiyue Duan, Yaoting He, Xin Xin, Haoyi Xiang, Yijing Wang, Chengwei Wu, Yang Yi, Qing Meng, Yuqian Qiao, Kui Cheng, Xiaojun Long, Zhangfa Song   +17 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Transforming language assessment in the digital age: university-level EFL students' and teachers' perceptions of traditional, alternative, and online assessment models. [PDF]

Front Psychol
Nassery O, Osam N.
europepmc   +1 more source

Polysiloxane‐Based Single‐Ion Conducting Polymer Electrolyte for Sodium Batteries

Advanced Science, EarlyView.
We report a polysiloxane‐based single‐ion conducting polymer electrolyte for sodium batteries. This polymer electrolyte exhibits high Na+ ion mobility and a wide electrochemical stability window, enabling the long‐term stable cycling of various cathode chemistries – also at room temperature, elevated dis‐/charge rates and active material mass loadings,
Yixuan Guo, Hyokyeong Kang, Maider Zarrabeitia, Ludovica Roselli, Hyerim Kim, Vittorio Marangon, Jang‐Yeon Hwang, Dominic Bresser   +7 more
wiley   +1 more source

Differentiating Social and Moral Norms in Perceived Internalization. [PDF]

Behav Sci (Basel)
Deutchman P, Yang FY.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Educational anxiety and student mental health in the era of artificial intelligence: a multi-source data fusion analysis in smart education. [PDF]

Front Public Health
Tian Q.
europepmc   +1 more source