Results 171 to 180 of about 53,609 (254)

Measurement of Mood States Following Light Alcohol Consumption: Evidence from the Implicit Association Test. [PDF]

Behav Sci (Basel), 2018
Ito M, Matsuzaki N, Kawahara J.
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Measuring the bias against low-income country research: an Implicit Association Test. [PDF]

Global Health, 2017
Harris M, Macinko J, Jimenez G, Mullachery P.   +3 more
europepmc   +1 more source

Measuring implicit attitude toward ambiguity using Implicit Association Test.

The Proceedings of the Annual Convention of the Japanese Psychological Association, 2013
Takashi IDENO, Mikiya HAYASHI, Kazuhisa TAKEMURA   +2 more
openaire   +2 more sources

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

The validation of Implicit Association Test measures for smartphone and Internet addiction in at-risk children and adolescents. [PDF]

J Behav Addict, 2018
Roh D, Bhang SY, Choi JS, Kweon YS, Lee SK, Potenza MN.   +5 more
europepmc   +1 more source

De Implicit Association Test

Sociologie magazine, 2017
Schaap, J, van der Waal, Jeroen, de Koster, Willem   +2 more
openaire   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

The added value of implicit motives for management research Development and first validation of a Brief Implicit Association Test (BIAT) for the measurement of implicit motives. [PDF]

PLoS One, 2018
Slabbinck H, van Witteloostuijn A, Hermans J, Vanderstraeten J, Dejardin M, Brassey J, Ramdani D.   +6 more
europepmc   +1 more source