Results 61 to 70 of about 13,631 (251)

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Peran Kepercayaan Diri dan Kemampuan Multitasking terhadap Readiness to Change pada Mahasiswa

Jurnal Psikologi Teori dan Terapan, 2020
This study aims to determine the relationship between self-confidence and multitasking abilities with readiness to change among students. This study used a quantitative correlational method.
Meita Santi Budiani, Olievia Prabandini Mulyana, Ni Wayan Sukmawati Puspitadewi   +2 more
doaj   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Investigating the Prevalence and Predictors of Media Multitasking across Countries

International Journal of Communication, 2014
This study provides insight into the prevalence and predictors of different forms of media multitasking across different countries. Results of a survey of 5,973 participants from six countries (the United States, the United Kingdom, Germany, the ...
Hilde A. M. Voorveld, Claire M. Segijn, Paul E. Ketelaar, Edith G. Smit   +3 more
doaj  

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Technology-Focused Multitasking Self-Efficacy and Performance: Whether You Think You Can or Think You Can't, You Can't

Journal of the Scholarship of Teaching and Learning
Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask.
Peter Doolittle, Krista Wojdak, C. Edward Watson, Dawn Adam, Gina Mariano   +4 more
doaj  

Design Considerations for Polymer–Deep Eutectic Solvent Hybrid Systems for Transdermal Drug Delivery

Journal of Applied Polymer Science, EarlyView.
Deep eutectic solvents (DESs) act as tunable, green excipients that modulate polymer structure–property relationships to enhance drug solubility, skin permeation, stability, and controlled release. Through hydrogen‐bond interactions, DES–polymer hybrid systems enable improved transdermal performance, offering a rational, design‐driven platform for ...
Madhavi Kailas Kapale, Madhur Kulkarni, Pranav J. Shah, Furqan A. Maulvi   +3 more
wiley   +1 more source