Results 51 to 60 of about 774,383 (293)

Thanks a Bot: Leveraging Artificial Intelligence for Improved Workplace Appreciation

SAGE Open
Generative artificial intelligence is regularly tasked with navigating the complexities of human-to-human interaction, including peer-to-peer mental health support and improving interpersonal emotion regulation within customer service settings ...
S. Gabe Hatch, Cristen Dalessandro, Bryar Topham, Daniel Patterson, Chris Berry, Jace J. Johnson, Alexander Lovell   +6 more
doaj   +1 more source

Family-Based Regulation Practices of Children’s Useof Generative Artificial Intelligence

Jaunųjų Mokslininkų Darbai
Children’s use of generative artificial intelligence in learning and everyday practices raises new questions about family regulation and parental mediation.
Gintautas Jazdauskas
doaj   +1 more source

Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education

International Journal of Educational Technology in Higher Education
Generative Artificial Intelligence (GenAI) tools hold significant promises for enhancing teaching and learning outcomes in higher education. However, continues usage behavior and satisfaction of educators with GenAI systems are still less explored ...
Mariam Baig, E. Yadegaridehkordi
semanticscholar   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

FEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero, Maria Kopsida, Nathalie Arendt, Hans Lennernäs, Markus Sjöblom, Femke Heindryckx   +5 more
wiley   +1 more source

A Meta-Survey of Generative AI in Education: Trends, Challenges, and Research Directions

Big Data and Cognitive Computing
Education is experiencing a paradigm shift, evolving from traditional learning methods to computer-tool-based education, and now toward the integration of Generative Artificial Intelligence.
Sirine Bouguettaya, Francesco Pupo, Min Chen, Giancarlo Fortino   +3 more
doaj   +1 more source

We Reject the Use of Generative Artificial Intelligence for Reflexive Qualitative Research

Qualitative Inquiry
Four hundred and nineteen experienced qualitative researchers from 32 countries invite readers of Qualitative Inquiry to consider their position on use of generative artificial intelligence (GenAI) for qualitative research.
T. Jowsey, Virginia Braun, Victoria Clarke, Deborah Lupton, M. Fine   +4 more
semanticscholar   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Unlocking the potential: Exploring the determinants of adopting generative AI and its economic sustainability in non-profit organizations

Computers in Human Behavior Reports
As an emerging technology, Generative Artificial Intelligence (GAI) is assumed to be one of the most effective technologies across various levels of management. However, Existing studies have largely focused on the private and educational sectors.
Nawaf Abdullah, Ali Tarhini, Mirza Mohammad Didarul Alam, Jamil Al Shaqsi, Mostafa Al-Emran   +4 more
doaj   +1 more source

Generative Artificial Intelligence in Healthcare: Applications, Implementation Challenges, and Future Directions

BioMedInformatics
Generative artificial intelligence (AI) is rapidly transforming healthcare systems since the advent of OpenAI in 2022. It encompasses a class of machine learning techniques designed to create new content and is classified into large language models (LLMs)
S. A. Rabbani, Mohamed El-Tanani, Shrestha Sharma, Syed Salman Rabbani, Yahia El-Tanani, Rakesh Kumar, Manita Saini   +6 more
semanticscholar   +1 more source

Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1

FEBS Open Bio, EarlyView.
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay, Junjie Xu, Josep Rizo   +2 more
wiley   +1 more source