Results 141 to 150 of about 10,346,343 (295)

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

AIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis, G. Loachamín‐Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis   +8 more
wiley   +1 more source

Why viewers engage in sports live streaming: the psychological pathways from SMI characteristics to participative and sharing behaviors. [PDF]

Front Psychol
Ding Y, Tu B, Tu R, Peng Y.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Political vs. expert: the impact of influencer type on vaccination willingness. [PDF]

Front Public Health
He J, Hu J, Li Y, Luo Y.
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

The Impact of Negative Online Reviews by Social Media Influencers on the Formation of Brand Loyalty to Cosmetic Products

Indonesian Interdisciplinary Journal of Sharia Economics
This study investigates how negative electronic word-of-mouth (e-WOM) from social media influencers affects brand loyalty in the cosmetics industry. Specifically, it examines the mediating roles of brand attitude and consumer dissatisfaction and the ...
Hasrini Hasrini, Kussudyarsana Kussudyarsana, Edy Purwo Saputro   +2 more
doaj  

E-cigarette and Cannabis in Social Media Influencer Marketing and Its Effect on Adolescents: A Survey-Based Experiment. [PDF]

Nicotine Tob Res
Vassey J, Chen-Sankey J, Unger JB.
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Your media diet is impacting your actual diet: The effects of influencer "What I Eat in a Day" YouTube videos on influencer perceptions and nutrition behaviors. [PDF]

Digit Health
Pfender EJ, Wanzer CV, Kuijpers KL, Bleakley A.   +3 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source