Results 141 to 150 of about 15,397,439 (364)
eVOC: A Controlled Vocabulary for Unifying Gene Expression Data [PDF]
Janet Kelso+11 more
openalex +1 more source
The Disappearance of Controlled Vocabulary in Bibliographic Instruction: \u3ci\u3eIn Memoriam\u3c/i\u3e? [PDF]
At one time controlled vocabulary was an essential component of bibliographic instruction sessions. Today, whispered conversations among librarians and the lack of conference presentations, blog posts, and professional literature on the best use of ...
Wiegand, Stephanie
core +1 more source
Memory gate (MG) hypothesis assumes a neural structure that connects inputs to appropriate contexts. Panel A shows an input (green) that, in the MG, does not match the context (red): memory does not recognize it. Panel B shows that, in the MG, the context (green) matches the input: memory recognizes the pattern.
Eduardo Mizraji, Juan Lin, Andrés Pomi
wiley +1 more source
Neural electrodes for brain‐computer interface system: From rigid to soft
Here, we review the development trends of neural electrodes in BCI. This paper highlights the critical role of electrodes in BCI systems, analyzes the limitations of rigid electrodes, and introduces various flexible electrodes. Furthermore, we discuss application scenarios and prospects of BCI electrode technology, aiming to provide valuable references
Dan Yang+7 more
wiley +1 more source
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
Converting a controlled vocabulary into an ontology: the case of GEM
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
ABSTRACT Background Precise risk prediction of chronic diseases is essential for effective preventive care and management. Machine learning (ML) is a promising avenue to enhance chronic disease risk prediction; however, a comprehensive assessment of ML performance across various chronic diseases, populations, and health settings is needed. Methods This
Ebenezer Afrifa‐Yamoah+4 more
wiley +1 more source
Free Productive Ability and Lexical Text Analysis to Improve Student Writing [PDF]
The classroom is often an arena of Controlled Productive Ability. Within this system, the teacher issues communiques and makes deposits which the students patiently receive, memorize, and repeat.
Deadman, Mark
core
Plant Ontology (PO): a controlled vocabulary of plant structures and growth stages [PDF]
Pankaj Jaiswal+14 more
openalex +1 more source
Descriptive metadata for the CAVA repository [PDF]
This document describes the descriptive metadata schema devised for the CAVA (human Communication: an Audio-Visual Archive ...
Mahon, M.S.
core