Results 171 to 180 of about 250,300 (327)
Assessing the Chemical Intelligence of Large Language Models. [PDF]
Runcie NT, Deane CM, Imrie F.
europepmc +1 more source
ABSTRACT This paper examines whether and to what extent digital technologies (DTs) foster the adoption of environmental sustainability (ES), and how this relationship is moderated by family ownership. Using data from approximately 14,000 European firms surveyed in the Flash Eurobarometer 486, we estimate a recursive simultaneous equation model via a ...
Francesco Aiello +2 more
wiley +1 more source
Correction: The unbearable lightness of laughting: a reflexive thematic analysis of smiles and laughter in five psychotherapy training processes. [PDF]
Frontiers Production Office.
europepmc +1 more source
ABSTRACT This study addresses a significant research gap in the literature by systematically reviewing and synthesizing the interplay between social dynamics, environmental changes, and organizational innovation. Although prior research has explored these dimensions in isolation, the integrative framework remains lacking.
Gagan Deep Sharma +4 more
wiley +1 more source
Bidirectional reinforcement learning neural network for constrained molecular design. [PDF]
Lin J +5 more
europepmc +1 more source
ABSTRACT The orbicularis oculi muscle (OOc) is strongly associated with facial aging as its contraction causes the formation of crow's feet. Botulinum neurotoxin (BoNT) injection is a representative treatment targeting muscle. The aim of this study was to demonstrate the anatomical relationship between the OOc and the zygomaticus complex muscles, and ...
Jiong‐Zhen Piao +3 more
wiley +1 more source
MoltiTox: a multimodal fusion model for molecular toxicity prediction. [PDF]
Park J, Lee S.
europepmc +1 more source
Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony
ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
wiley +1 more source

