Results 131 to 140 of about 816,227 (284)

Study of Explicit Knowledge Effects on Implicit Motor Learning in Older Adults

Journal of Rehabilitation, 2012
Objective: The motor skill performance and learning in older adults are of a great importance. The primary purpose of this study was to determine whether older adult’s explicit knowledge effect on implicit learning and motor performance and which are ...
Fatemeh Ehsani, Iraj Abdollahi, Mohammad Ali Mohseni-Bandpei   +2 more
doaj  

Implicit learning of convective organization explains precipitation stochasticity. [PDF]

Proc Natl Acad Sci U S A, 2023
Shamekh S, Lamb KD, Huang Y, Gentine P.
europepmc   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Assessing processing-based measures of implicit statistical learning: Three serial reaction time experiments do not reveal artificial grammar learning.

PLoS ONE
Implicit statistical learning, whereby predictable relationships between stimuli are detected without conscious awareness, is important for language acquisition. However, while this process is putatively implicit, it is often assessed using measures that
Holly E Jenkins, Phyllis Leung, Faye Smith, Nick Riches, Benjamin Wilson   +4 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

How Implicit Sequence Learning and Explicit Sequence Knowledge Are Expressed in a Serial Response Time Task

Journal of Cognition
Sequence learning in the serial response time task (SRTT) is one of few learning phenomena where researchers agree that such learning may proceed in the absence of awareness, while it is also possible to explicitly learn a sequence of events. In the past
Marius Barth, Christoph Stahl, Hilde Haider   +2 more
doaj   +1 more source

History of major depressive disorder is associated with differences in implicit learning of emotional faces. [PDF]

J Psychiatr Res, 2023
Kolobaric A, Mizuno A, Yang X, George CJ, Seidman A, Aizenstein HJ, Kovacs M, Karim HT.   +7 more
europepmc   +1 more source

Learning elastoplasticity with implicit layers

Computer Methods in Applied Mechanics and Engineering
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Influence of Emotions on Elementary-School Children's Implicit Learning during a Serial Reaction Time Task. [PDF]

Children (Basel), 2023
Mazars M, Simoës-Perlant A, Paubel PV, Lemercier C.   +3 more
europepmc   +1 more source