Results 201 to 210 of about 53,121 (313)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Correction: Immunoinformatics-driven multi-epitope vaccine design targeting PSMA, STEAP1, and B7H3 for prostate cancer. [PDF]

Front Med (Lausanne)
Runtunuwu SVBE, Tallei TE, Kim HJ, Park MN, Celik I, Kirilmaz B, Turalaki GLA, Fatimawali F, Tendean LEN, Kaseke MM, Makawaehe DR, Rambi EV, Kim B.   +12 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

An Association Among Problematic Smartphone Use, Sleep Quality, Behavioral Engagement and Academic Achievements: A Multiple Mediation Model Based on Large-Scale Data. [PDF]

Behav Sci (Basel)
Zhou D, Liu S, Liu J, Li H, Ma Y.
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

The Effect of the Brain Breaks Physical Activity Program on Task Focus, Attentional Control, and Academic Achievement in 4th Grade Elementary School Students. [PDF]

Behav Sci (Basel)
Filiz B, Karaca Y, Konukman F, Sortwell A.   +3 more
europepmc   +1 more source

A study on the application of robotic programming to promote Logical and critical thinking in mathematics education

The Mathematical Education, 2014
Haemee Rim, Inseon Choi, Sunsook Noh
openaire   +1 more source

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

Advanced Intelligent Discovery, EarlyView.
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti, Sarah I. Allec, Maxim Ziatdinov, Venkateshkumar Prabhakaran   +3 more
wiley   +1 more source

Predicting students' performance on geometric problem-solving tasks: the roles of cognitive reflection, fluid intelligence, and mathematical beliefs. [PDF]

Front Psychol
Rubio-Sánchez A, Gómez-Veiga I, Gómez-Chacón IM.   +2 more
europepmc   +1 more source