Results 71 to 80 of about 2,312,798 (268)

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
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

Element 5 Letter to Chairs from UCOC Core General Education Assessment, 2021-2022

open access: yes, 2022
The Letter to Chairs from UCOC for Element 5 - Social Science as part of the institution’s ongoing general education Core assessment ...
Undergraduate Core Oversight Committee, Wright State University
core  

The Essential Attributes, Structural Elements, and Characteristics of Clinical Thinking in Hospital Pharmacists

open access: yesYixue yu zhexue
Hospital pharmacy in China is undergoing a profound transformation toward clinical pharmacy, with the role evolution of hospital pharmacists serving as a cornerstone of this change.
Xiaofen YE   +3 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
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

Element 2 Chairs and Course List Core General Education Assessment, 2019-2020

open access: yes, 2020
The Chairs and Course List for Element 2 - Mathematics as part of the institution’s ongoing general education Core assessment ...
Undergraduate Core Oversight Committee, Wright State University
core   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
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

2069

open access: yesJournal of Clinical and Translational Science, 2017
OBJECTIVES/SPECIFIC AIMS: Clinical research in the 21st century will require a well-trained workforce to insure that research protocols yield valid and reliable results.
Carlton Hornung   +4 more
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Element 2 AACU Math Literacy Rubric Core General Education Assessment, 2019-2020

open access: yes, 2020
The AACU Math Literacy Rubric for Element 2 - Mathematics as part of the institution’s ongoing general education Core assessment ...
Undergraduate Core Oversight Committee, Wright State University
core   +2 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

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