Results 111 to 120 of about 3,481,620 (296)

Uncanny Semantics. How AI and Human Authors Use Language Differently in Academic Writing

This study explores the semantic differences between human-written and AI-generated academic texts by applying word embedding techniques to a curated corpus of 325 introductions from linguistic articles.
Wegerhoff, Dennis
core   +1 more source

No Digital Omnibus! Why Europe Owes LMICs the Ethical Regulation of Generative AI in Healthcare [PDF]

AI tools hold vast promises to reduce health inequities in LMICs, yet these geographies remain heavily dependent on the technological infrastructures and governance norms from high-income regions.
Geiger, Susi, Gross, Nicole
core   +2 more sources

The interaction between emotion dynamics and opinion changes in the era of generative AI

Computers in Human Behavior Reports
Online emotion regulation interventions have experienced huge developments during the last decade due to the expansion of information communication technologies applications.
Shangqian Li, Shaoyang Fan, Gianluca Demartini   +2 more
doaj   +1 more source

Heterotropic regulation and negative homotropic cooperativity

FEBS Open Bio, EarlyView.
We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea, Francesco Angelucci, Federica Arnesano, Gianmarco Pascarella, Patrizio Di Micco, Andrea Bellelli   +5 more
wiley   +1 more source

Artificial Intelligence and Innovation in the Context of Social Development: An Ethical and Legal Analysis

Qainar Journal of Social Science
The rapid development of artificial intelligence (hereinafter – AI), along with increasing the effectiveness of innovation activities, increases the relevance of ethical and legal issues of its regulation.
S. Kupeshova, A. Zhidebekkyzy, R. Unerbayeva   +2 more
doaj   +1 more source

Avidin is evolutionarily conserved in fish but dispensable for development and resistance against Streptococcus agalactiae in zebrafish

FEBS Open Bio, EarlyView.
The presence of biotin‐binding avidin proteins in fish and their biological significance are poorly characterized. We cataloged fish avidins and demonstrate that they are widely present and evolutionarily conserved. We created avd knockout zebrafish and show that zebavidin is dispensable for development and that resistance of avd knockout embryos in ...
Anni K. Saralahti, Markus J. T. Ojanen, Mataleena Parikka, Otto Kauko, Mika Rämet, Vesa P. Hytönen   +5 more
wiley   +1 more source

AI Regulation: EU Ex Ante vs. US Hands-Off Approach – Legal and Economic Impacts

openL'intelligenza artificiale rappresenta oggi una delle tecnologie più trasformative del XXI secolo, con il potenziale di ridefinire equilibri geopolitici, economici e sociali.
PELIZZON, LEONARDO ANTONIO
core  

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

FEBS Open Bio, EarlyView.
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain, Elise Buret, Le Hoang Thanh Nguyen, Marion Cocheteux, Nicolas Touya, Mélanie Dhayer, Romain Dubois, Frank Lafont, Sebastien Janel, Patrice Maboudou, Steve Lancel, Philippe Marchetti   +11 more
wiley   +1 more source

Using cell‐free RNA to identify B‐ and T‐cell clonality for diagnosis and monitoring of B‐ and T‐cell neoplasms

FEBS Open Bio, EarlyView.
Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar, Sally Agersborg, Ahmed Charifa, Pooja Phull, Noa Biran, David Vesole, Harsh Parmar, Andrew Pecora, Andrew Ip, Andre Goy, David Siegel, Maher Albitar   +11 more
wiley   +1 more source

Analyzing the network structure of students’ motivation to learn AI: a self-determination theory perspective

npj Science of Learning
Motivation is a key driver of learning. Prior work on motivation has mostly focused on conventional learning contexts that did not necessarily involve AI. Hence, little is known about students’ motivation to learn AI. This study examined the structure of
Jiajing Li, Jianhua Zhang, Ching Sing Chai, Vivian W. Y. Lee, Xuesong Zhai, Xingwei Wang, Ronnel B. King   +6 more
doaj   +1 more source