Results 201 to 210 of about 904,135 (284)

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

A school-based respect-for-life program integrating deceased organ donation awareness in South Korea: a post-class mixed-methods evaluation. [PDF]

Sci Rep
Jeon HJ, Kim YH, Choi HJ, Lee JY, Kam MA, Lee JH, Hyun S, Bok C, Lee Y, Ahn C, Oh J.   +10 more
europepmc   +1 more source

Perimeter‐intensified inverse Zr‐Co oxygen carrier for biomass chemical‐looping gasification with high CO selectivity

AIChE Journal, EarlyView.
Abstract Chemical‐looping gasification (CLG) offers a promising route for renewable biomass valorization, yet conventional oxygen carrier regeneration with O₂/H₂O is energy‐intensive and often produces low‐quality syngas. Here, we develop an inverse ZrO2/Co3O4 oxygen carrier that enables selective biochar oxidation and efficient lattice‐oxygen transfer
Junling Gao, Haifeng Qi, Kun Lei, Tingwei Wang, Yijie Yang, Hongwei Li, Rongjun Zhang, Yu Wu, Canran Huang, Zhao Sun   +9 more
wiley   +1 more source

Fitness Adaptations to a Combined Strength and Aerobic Training Program During the Transition Period in Young Soccer Players. [PDF]

Sports (Basel)
Michailidis Y, Stafylidis A, Mandroukas A, Georgiadis K, Karamousalidis G, Antoniou G, Kyranoudis AE, Semaltianou E, Mittas V, Metaxas TI.   +9 more
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Testing Multiple Delivery Methods of the Virtual Exercise Games for Youth with T1D Peer Intervention: Protocol Development and Feasibility. [PDF]

Horm Res Paediatr
Ash GI, Nam S, Mak SS, Stults-Kolehmainen M, Haughton AD, Turek C, Baker JS, Hieftje K, Marks A, Chmielewski A, Shelver M, Considine EG, Lukasik JL, Weinzimer SA, Nally LM.   +14 more
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Analysis of interception problems in donning and doffing personal protective equipment in a large cabin hospital during the COVID-19 pandemic: a real world study. [PDF]

Sci Rep
Li Z, Tang C, Zang F, Zhang X, Wu J, Zhang W, Zhu C.   +6 more
europepmc   +1 more source

KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation

Advanced Intelligent Systems, EarlyView.
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li, Haoyu Tang, Jun Zhu, Fang Fang Gou, Jia Wu   +4 more
wiley   +1 more source