Results 201 to 210 of about 4,782 (266)

AI-Driven BCR Modeling for Precision Immunology. [PDF]

Int J Mol Sci
Liu T, Zhao X, Yang F.
europepmc   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

UzbekPOS: A multi-domain dataset for Uzbek part-of-speech tagging. [PDF]

Data Brief
Sharipov M, Kuriyozov E, Vičič J.
europepmc   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

A quantum-cognitive approach to dynamic meaning construction. [PDF]

Front Psychol
Yin M.
europepmc   +1 more source

Understanding how enzymes work: the journey to ensemble–function studies

The FEBS Journal, EarlyView.
For decades, structure–function has dominated biochemistry. Structures are highly valuable, yet more is needed to achieve a quantitative understanding of biomolecular function, because function emerges from an ensemble of states, rather than a static structure. We describe an ensemble–function framework applied to quantitatively dissect serine protease
Daniel Herschlag, Siyuan Du
wiley   +1 more source

Adaptive graph signal processing for robust multimodal fusion with dynamic semantic alignment. [PDF]

Sci Rep
Karthikeya KV, Rajasekaran AS, Das AK, K VB, Pal S.   +4 more
europepmc   +1 more source

Cryo‐EM structure of GH43 β‐Xylosidase from Enterobacter cloacae provides insights into substrate specificity and the role of an auxiliary domain in enzymatic activity

The FEBS Journal, EarlyView.
Xylan, the second most abundant plant cell wall polysaccharide, is degraded by β‐xylanases and β‐xylosidases. Here, we present the 2.65 Å cryo‐EM structure of Enterobacter cloacae β‐xylosidase (EcXyl43, GH43) and the 2.4 Å X‐ray structure of its inactive F507A mutant.
Lorenzo Briganti, Andre Schutzer Godoy, Caio Cesar Mello Capetti, Rafaela Sachetto Fernandes, Vanessa O. A. Pellegrini, Ornella M. Ontañon, Eleonora Campos, Rodrigo V. Portugal, Igor Polikarpov   +8 more
wiley   +1 more source

Comprehensive review and assessment of multi-species splicing variant prediction: task-specific deep learning models and genomic foundation models. [PDF]

Brief Bioinform
Sun Y, Wang X, Jia Y, Imoto S, Li F, Li C, Song J.   +6 more
europepmc   +1 more source

How Do I Measure up? Social Influence and L2 Motivation in the Algorithmic Age

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Comparative thinking is a fundamental human drive and a hallmark of contemporary life. For social action, such as the learning and use of additional languages, a target for appraisal (an L2 attribute) is evaluated in relation to a comparison standard (an appraiser's standpoint).
Alastair Henry, Meng Liu
wiley   +1 more source