Results 201 to 210 of about 132,160 (305)
Reconciling MPEG-7 and MPEG-21 Semantics through a Common Event-Aware Metadata Model
Jane Hunter
openalex +2 more sources
The potential of real‐world data (RWD), particularly from patient registries, has been increasingly recognized over the last decade by academia, regulators, and health technology assessment (HTA) bodies for its role in assessing a product's effectiveness and supporting regulatory submissions.
Sonia Zebachi+13 more
wiley +1 more source
Analysing genome sequences and associated metadata during the COVID-19 pandemic in Iraq revealed points to be improved: An observational retrospective study. [PDF]
Abbas AH+3 more
europepmc +1 more source
From Tweets to Insights: Social Opinion Mining on Corporate Social Responsibility
ABSTRACT Corporate Social Responsibility (CSR) has become increasingly critical as firms seek to balance financial goals with social and environmental responsibilities. Our study introduces a three‐phase structured method to analyze stakeholders' opinions on CSR through Social Opinion Mining, utilizing stakeholder and legitimacy theories.
Chiara Leggerini, Mariasole Bannò
wiley +1 more source
FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine. [PDF]
Balaur I+9 more
europepmc +1 more source
Design and Implementation of XML Based Relational Database Metadata Repository
Eun-Jeong Gwon, Hwan-Seung Yong
openalex +2 more sources
ABSTRACT As the Internet of Things (IoT) surges forward, intersecting with an urgent demand for environmental sustainability (ES), digital technologies emerge as potent orchestrators of systemic transformation. Employing a subtle blend of bibliometric‐systematic literature review (B‐SLR) and qualitative insights, this research investigates IoT's ...
Giuseppe Lanfranchi+2 more
wiley +1 more source
Metadata for Resource Description on Corporate Intranets
Eric Obershaw
openalex +2 more sources
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski+10 more
wiley +1 more source