Results 131 to 140 of about 2,156,391 (291)
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
Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
Controlled vocabularies and ontologies in proteomics: overview, principles and practice. [PDF]
Mayer G +12 more
europepmc +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
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright +8 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
Report of the Prejudicial Materials Working Group, June 2024
The Prejudicial Materials Working Group (PMWG) of the RBMS Controlled Vocabularies Editorial Group (CVEG) was convened in the summer of 2020 to review, revise, and generate new terminology in the RBMS Controlled Vocabulary for Rare Materials Cataloging ...
Guerrero, Jose +2 more
core
Creating and aligning controlled vocabularies [PDF]
A vocabulary stores words, synonyms, word sense definitions (i.e. glosses), relations between word senses and concepts; such a vocabulary is generally referred to as the Controlled Vocabulary if choice or selections of terms are done by domain ...
Sini, Margherita, Morshed, Ahsan-ul
core
Controlled vocabulary with Vocabs
PDF version of the slides from the presentation "Controlled vocabulary with Vocabs". Presented online on 21 October 2025 in the context of the Community Cluster "Authority Files and Community-driven Vocabularies" meeting of NFDI4Objects.
Carloni, Massimiliano, Trognitz, Martina
openaire +1 more source

