Results 151 to 160 of about 89,575 (268)
Unpacking the dual psychological paths of employee-AI collaboration on creativity: The role of proactive behavior. [PDF]
Guo B, Wu Z, Wen Q, Peng Y.
europepmc +1 more source
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 +3 more
wiley +1 more source
The impact of generative artificial intelligence (GenAI) usage patterns on employee creativity. [PDF]
Li Q, Li S.
europepmc +1 more source
The impact of walking on creative thinking: A systematic review and meta-analysis. [PDF]
Thabane A +11 more
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Correction: Unpacking the dual psychological paths of employee-AI collaboration on creativity: The role of proactive behavior. [PDF]
Guo B, Wu Z, Wen Q, Peng Y.
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
From Research to Practice: Enhancing Creativity Awareness in Education. [PDF]
Can I, Bart WM.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source

