Results 121 to 130 of about 674,467 (300)
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
IntroductionVocabulary knowledge achievement is crucial for effective language learning. However, there is a gap in vocabulary knowledge achievement, particularly at the Seto High School in Ethiopia.
Haimanot Ayana +2 more
doaj +1 more source
Effective Vocabulary Learning Strategies
Călăraş, Angela. Effective Vocabulary Learning Strategies / Angela Călăraş // Tradiţie şi inovare în cercetarea ştiinţifică : Materialele Conferinţei Ştiinţifice Internaţionale, Ediţia a XII-a, 6-7 octombrie 2023. – Bălţi : [S. n.], 2024 (CEU US). – Vol. I. – P. 80-83. – ISBN 978-9975-50-319-8.
openaire +2 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Assessing University Students’ Self-Reported Vocabulary Learning Strategy Use
Background. Learning vocabulary is a vital component of language learning; without this integral component of language communication becomes hardly meaningful.
Yirgalem Girma +2 more
doaj +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
Language counts: Early language mediates the relationship between parent education and children\u27s math ability [PDF]
Children\u27s early math skills have been hailed as a powerful predictor of academic success. Disparities in socioeconomic context, however, also have dramatic consequences on children\u27s learning.
Ribner, Andrew +2 more
core +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
The Implementation of “Mastering Vocabulary before Teaching”: A Case Study in Intensive English Course of Language and Culture Development Center (PBB) [PDF]
SUUCIANALISMY: THE IMPLEMENTATION OF “MASTERING VOCABULARY BEFORE TEACHING” A CASE STUDY IN INTENSIVE ENGLISH COURSE OF LANGUAGE AND CULTURE DEVELOPMENT CENTER The English teaching as foreign language in Indonesia was done through decades by using ...
SUUCIANALISMY,
core

