Characteristics of behavior change techniques in theory-based self-management education and support interventions for adults with type 2 diabetes using digital technology: A scoping review. [PDF]
Cha E +5 more
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
Airway management education and retraining: an unresolved paradigm. [PDF]
Gutiérrez-Perdomo V +2 more
europepmc +1 more source
Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo +3 more
wiley +1 more source
Navigating Type 2 Diabetes Care: Asian American Perspectives on Self-Management Education and Support. [PDF]
Tolentino DA +8 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
Increasing Uptake of Diabetes Self-Management Education and Support (DSMES) in Rural Kentucky Primary Care Clinics: Findings From a Pilot Pragmatic Cluster-Randomized Trial. [PDF]
Lacy ME +7 more
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
Real world telehealth delivery of an evidence based self-management education program for people with epilepsy and cognitive comorbidity. [PDF]
Kiriakopoulos ET +15 more
europepmc +1 more source

