Results 141 to 150 of about 4,276,509 (286)
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
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
MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source
ANIMATION VIDEO TO IMPROVE STUDENTS' VOCABULARY MASTERY [PDF]
: This research aims to identify whether or not and to what extent animation video can improve students' vocabulary mastery. This is a Classroom Action Research conducted at the sixth grade students of MIN Nglungge, Polanharjo.
Devi, I. (Ika), Devi, Ika, Devi , Ika
core
The Potential Vocabulary Size (PVS) score is a modified version of the TTR (Type Token Ratio), and as such, also corresponds to an individual’s vocabulary size.
Eiji Aramaki (812902)
core +1 more source
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Review: Learning vocabulary in another language [PDF]
Review of the book: Learning vocabulary in another ...
Barnard, Roger
core
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley +1 more source
Politeness of Discourse and Vocabulary Teaching [PDF]
The article is a review of the few existing publications dealing with problem of politeness of discourse in the process of vocabulary teaching. While communicatively teaching vocabulary, we should keep in mind that the goal is not just memorization by ...
Şaban Çepik, Natela Doghonadze
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