Results 261 to 270 of about 1,378,328 (309)

Dataset of natural conversations about appearance using fNIRS. [PDF]

Sci Data
Hu Y, Liu Y, Hou Y, Pan Y, Gao X.
europepmc   +1 more source

Can positive self-talk alter one's happiness?

, 2011
Elizabeth Armetta
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Effectiveness of Communication Competence in AI Conversational Agents for Health: Systematic Review and Meta-Analysis.

J Med Internet Res
Qin J, Nan Y, Li Z, Meng J.
europepmc   +1 more source

Experiences and needs of patients facing incurable cancer and their relatives with informal care in psychosocial supporting centres in the Netherlands: A qualitative study. [PDF]

PLoS One
Siemelink SD, van Koeveringe J, Bussmann M, van Veen S, Sangers S, Raijmakers NJH.   +5 more
europepmc   +1 more source

Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models

Advanced Intelligent Systems, EarlyView.
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses, Chen Chen, Joan M. Redwing, Wesley F. Reinhart   +3 more
wiley   +1 more source

Investigating mental wellbeing self-care in higher education using BERTopic modeling. [PDF]

Discov Ment Health
Ali M, van Berkel N, Tag B, Paananen V, Oppenlaender J, Yatani K, Hosio S.   +6 more
europepmc   +1 more source

Poly(vinylidene Fluoride)‐Based Ferroelectric Polymers for Electromechanical Transduction: A Systematic Review of Materials and Actuators

Advanced Intelligent Systems, EarlyView.
Poly(vinylidene fluoride) (PVDF)‐based ferroelectric materials exhibit high strains, energy densities and coupling efficiencies, appealing for diverse applications requiring smart material actuators. This work reviews electromechanical transduction in PVDF‐based polymers and their modifications, implementation in actuators, and functional devices ...
Giulio Gallucci, Andres Hunt
wiley   +1 more source

Perceived peer support, motivational self-regulation and academic achievement in adolescents. [PDF]

Br J Educ Psychol
Villar E, Real-Deus E, Martínez-López Z, Mayo ME, Tinajero C.   +4 more
europepmc   +1 more source