Results 71 to 80 of about 50,851 (257)

Converting a controlled vocabulary into an ontology: the case of GEM

open access: yesInformation Research: An International Electronic Journal, 2001
The prevelance of digital information raised issues regarding the suitability of conventional library tools for organizing information. The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate ...
Jian Qin, Stephen Paling
doaj  

The role of task type in L2 vocabulary acquisition: a case of Involvement Load Hypothesis - doi: 10.4025/actascilangcult.v35i4.21135

open access: yesActa Scientiarum: Language and Culture, 2013
Based on Involvement Load Hypothesis (LAUFER; HULSTIJN, 2001), current study examined the effect of involvement load and task type on vocabulary acquisition.
Abdullah Sarani   +2 more
doaj   +1 more source

Controlled Vocabularies in Colectica

open access: yes, 2021
A controlled vocabulary is an organized set of terms. Controlled vocabularies make it easier to make information consistent. They also improve indexing and searching for information. DDI Lifecycle supports using controlled vocabularies for many of its metadata fields. Colectica 6.2 adds support for controlled vocabularies in its desktop and Web tools.
openaire   +1 more source

The Mind From Within: Visceral Roots of Human Cognition

open access: yesAdvanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti   +1 more
wiley   +1 more source

Term database for nursing practice in the context of coronavirus (COVID-19) infections [PDF]

open access: yesRevista Brasileira de Enfermagem
Objective: to build a term database relevant to nursing practice in the context of COVID-19 infections. Methods: this is a methodological, documentary study, carried out from March to June 2020 at ICNP®/ Universidade Federal da Paraíba center ...
Márcia Cristina de Figueiredo Santos   +4 more
doaj   +4 more sources

Ethical Precision in Nanoscale Brain Interfacing

open access: yesAdvanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Estudos para implantação de ferramenta de apoio à gestão de linguagens documentárias: vocabulário controlado da USP

open access: yesTransinformação
A qualidade dos recursos informacionais armazenados em Bases de Dados depende, em larga medida, dos padrões utilizados em seu tratamento. Nesse contexto, ganha importância primordial a linguagem de indexação do sistema. O vocabulário controlado utilizado
Vânia Mara Alves de Lima   +9 more
doaj  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

open access: yesAdvanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen   +12 more
wiley   +1 more source

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

open access: yesAdvanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su   +5 more
wiley   +1 more source

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