Results 21 to 30 of about 19,335,962 (161)
Background: This study used local resources- community members, photographer and speech therapists to develop a new test for screening receptive language skills and sought to determine its feasibility for use with a larger population in KwaZulu-Natal ...
Xolisile Mazibuko, Moses Chimbari
doaj +1 more source
An accurate and transferable machine learning potential for carbon. [PDF]
We present an accurate machine learning (ML) model for atomistic simulations of carbon, constructed using the Gaussian approximation potential (GAP) methodology.
P. Rowe +4 more
semanticscholar +1 more source
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs [PDF]
Learning on Graphs has attracted immense attention due to its wide real-world applications. The most popular pipeline for learning on graphs with textual node attributes primarily relies on Graph Neural Networks (GNNs), and utilizes shallow text ...
Zhikai Chen +10 more
semanticscholar +1 more source
Actinide Molten Salts: A Machine-Learning Potential Molecular Dynamics Study.
Actinide molten salts represent a class of important materials in nuclear energy. Understanding them at a molecular level is critical for the proper and optimal design of relevant technological applications.
Manh‐Thuong Nguyen +3 more
semanticscholar +1 more source
The Learning Potential Assessment-2 in Yaqui Native American children
The aim of this study was to determine if the Learning Potential Assessment-2 (EPA-2) can be an adequate instrument for assessing the learning potential in Yaqui Native American children living in Sonora, Mexico.
Frannia Aglaé Ponce-Zaragoza +1 more
doaj +1 more source
Machine Learning Potential for Electrochemical Interfaces with Hybrid Representation of Dielectric Response. [PDF]
Understanding electrochemical interfaces at a microscopic level is essential for elucidating important electrochemical processes in electrocatalysis, batteries, and corrosion. While ab initio simulations have provided valuable insights into model systems,
Jiaxin Zhu, Jun Cheng
semanticscholar +1 more source
A universal graph deep learning interatomic potential for the periodic table [PDF]
Interatomic potentials (IAPs), which describe the potential energy surface of atoms, are a fundamental input for atomistic simulations. However, existing IAPs are either fitted to narrow chemistries or too inaccurate for general applications.
Chi Chen, S. Ong
semanticscholar +1 more source
This study aimed to determine the interest in learning science after using integrated learning of local snacks in Cangkringan with Discovery Learning model at Cangkringan Junior High School 1.
Wilda Muhimmatun Nisa +2 more
doaj +1 more source
Potential of Accurate Online Learning Platform Integration in University
In the 21st century, where technology develops rapidly, and during pandemic COVID-19 where distance learning relies on internet, online education technology in form of online learning platform has very big potential.
Ervan Sidharta +2 more
doaj +1 more source
In recent decades there have been significant changes in the conceptualization of reading as well as in the perception of how this activity should be assessed.
Juan-José Navarro +11 more
doaj +1 more source

