Results 191 to 200 of about 26,238 (266)
Health and Well-Being of Military Nurses in High-Reliability, High-Stress Environments: A Qualitative Study in the Slovenian Armed Forces. [PDF]
Kvržić Z, Prosen M.
europepmc +1 more source
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Nursing in Capitalist Healthcare: The Ethical Dichotomy Between the Vocation of Nursing and the Healthcare-Industrial Complex. [PDF]
Quiñones NJ.
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Promoting mental health in the police sector: an integrated model of resilience, organisational support and emotional literacy. [PDF]
Berlanga Silvente V +2 more
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Perceptions of how decent work affects employee retention in a South African financial services institution. [PDF]
Vilakazi PL, Ukpere WI, Saurombe MD.
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source

