Results 101 to 110 of about 471,297 (282)
Correlation Between Students\u27 Habit In Watching English Movie And Their Vocabulary Size [PDF]
Penelitian ini bertujuan untuk menginvestigasi hubungan antara kebiasaan siswa dalam menonton film berbahasa Inggris dengan penguasaan kosa kata. Subyek penelitian ini sebanyak 30 siswa pada kelas Frontrunner di English First (EF) Bandar Lampung.
Huzairin, H. (Huzairin) +2 more
core
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
LEXTALE_CH: A quick, character-based proficiency test for Mandarin Chinese [PDF]
Research in second language acquisition suggests that objective performance-based assessments may provide more reliable and valid measures of second language proficiency than subjective self-ratings. To measure proficiency in English as a second language,
Chan, I. Lei, Chang, Charles B.
core
Slim Embedding Layers for Recurrent Neural Language Models
Recurrent neural language models are the state-of-the-art models for language modeling. When the vocabulary size is large, the space taken to store the model parameters becomes the bottleneck for the use of recurrent neural language models. In this paper,
Kulhanek, Raymond +4 more
core +1 more source
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
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Relationship Between Vocabulary Size And MUET Score Of Malaysian ESL Undergraduates [PDF]
Vocabulary is an important element of a language. Without the knowledge of vocabulary, people will not be able to understand what others are saying to them.
Attan, Anie +2 more
core
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
Size Matters: Vocabulary Knowledge as Advantage in Partner Selection
Partner selection can be studied from different disciplines, such as psychology, sociology, and economics. However, linguistic perspectives have been neglected. That is why we need an interdisciplinary approach that includes language. The present article
Michael Daller, Zehra Ongun
doaj +1 more source

