Results 181 to 190 of about 137,842 (266)

Counseling Professionals’ Perspectives on AI Integration in Education and Supervision: A Concept Mapping Study

Counselor Education and Supervision, EarlyView.
ABSTRACT The rapid emergence of artificial intelligence (AI) has raised important questions about how new technologies will shape professional norms and practices in counseling. The purpose of this study was to understand how counseling professionals expect AI to be integrated into counselor education and supervision (CES).
Hank Crofford, Elif Bor, Gülşah Kemer
wiley   +1 more source

AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations.

JMIR Med Educ
Zouakia Z, Logak E, Szymczak A, Jais JP, Burgun A, Tsopra R.   +5 more
europepmc   +1 more source

Electronic Modulation of Pt Nanoparticles Induced by Defective TiN Promotes Highly Efficient Hydrogen Evolution

Carbon Energy, EarlyView.
A nonequilibrium high‐temperature shock method was used to load Pt nanoparticles onto nitrogen vacancy‐rich TiN, enabling strong EMSI modulation. The Pt@TiN‐VN catalyst shows high HER activity (15.99 A mgPₜ⁻¹ at 100 mV) and 60‐h stability. Nitrogen vacancies optimize charge transfer and Pt–H bonding, offering insights into defect‐engineered ...
Meiyue Li, Jinzheng Liu, Yue Wang, Zhiwei Liang, Lixue Zhang, Xiaoyan Zhang   +5 more
wiley   +1 more source

ADAR-GPT: A continually fine-tuned language model for predicting A-to-I RNA editing sites. [PDF]

Proc Natl Acad Sci U S A
Rosenwasser Z, Cohen-Fultheim R, Levitt M, Levanon EY, Oren G.   +4 more
europepmc   +1 more source

Precision Catalysis in Dehydrogenation of Liquid Organic Hydrogen Carriers: Molecular Structure‐Geometry‐Electronic Interplay for Enhanced Hydrogen Evolution

Carbon Energy, EarlyView.
Atomic‐scale design principles for LOHC dehydrogenation: Tailoring geometric and electronic effects in metal catalysts to bridge the molecular structure of LOHC and dehydrogenation performance. ABSTRACT The advancement of hydrogen‐based energy systems necessitates innovative solutions for safe, efficient hydrogen storage and transportation.
Yongxiao Tuo, Jingying Qu, Huailu Sun, Hongwei Gai, Xiangyuan Qu, Junlun Zhu, Xiaohui Sun, De Chen, Xiang Feng   +8 more
wiley   +1 more source

Automated identification of contextually relevant biomedical entities with grounded LLMs. [PDF]

Sci Rep
Watter M, Giuliani C, Benadi G, Engel F, Binder H, Kaier K.   +5 more
europepmc   +1 more source

Improving Genotype Imputation in High‐Dimensional Pharmacogenomics Using Multiple Imputation: Evaluation with Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Multiple imputation is well‐established for handling missing data, yet its use in high‐dimensional genetic datasets remains limited. Using pharmacokinetic tuberculosis simulations and SNP data (1000 Genomes Project), we compared machine learning (ML) and traditional approaches (e.g., mean imputation and complete‐case analysis) for imputation and ...
Innocent G. Asiimwe, Tao You, Daniel F. Carr, Munir Pirmohamed, Geraint Davies, Andrea L. Jorgensen, on behalf of the UNITE4TB Consortium   +6 more
wiley   +1 more source

Evaluating the appropriateness and safety of generative AI in delivering lifestyle guidance for atrial fibrillation patients. [PDF]

Sci Rep
Makino M, She WJ, Siriaraya P, Matoba S, Senoo K.   +4 more
europepmc   +1 more source

Ordered Nanostructural Engineering of Cathode Catalyst Layer With High Mass Transport Efficiency for High‐Performance Ultra‐Low Pt Loading Proton Exchange Membrane Fuel Cells

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
An ordered cathode catalyst layer with efficient mass transport capability was developed based on the ALD of Pt onto VACNTs for high‐performance ultra‐low Pt loading PEMFC. The order‐structured cathode catalyst layer (CCL) has been considered the most promising solution to construct low‐cost proton exchange membrane fuel cells (PEMFCs) with an ultra ...
Jia Liu, Chao Hao, Mingjie Lin, Bin Yang, Qinghao Meng, Bowen Yan, Yulu Xie, Pei Kang Shen, Zhi Qun Tian   +8 more
wiley   +1 more source

Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts.

JMIR Cancer
Koechli C, Dennstädt F, Schröder C, Aebersold DM, Förster R, Zwahlen DR, Windisch P.   +6 more
europepmc   +1 more source