Results 131 to 140 of about 184,816 (253)

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

Advanced 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, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

The Limits of Humans in Data Gathering: Documentation Error Rates in the Electronic Health Record in the Operating Room. [PDF]

J Med Syst
Bradley AR, Barbosa A, Younk L, Rocha N, Nichol PF.   +4 more
europepmc   +1 more source

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

Advanced 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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Paranoia and Data-Gathering Biases in Autism. [PDF]

J Autism Dev Disord
Bennert K, Brosnan M, Canning A, Roberts G, Russell A.   +4 more
europepmc   +1 more source

A Data-Gathering, Dynamic Duty-Cycling MAC Protocol for Large-Scale Wireless Sensor Networks. [PDF]

Sensors (Basel), 2020
Tong F, Peng Y.
europepmc   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Profile for Brain Disease Research Infrastructure for Data Gathering and Exploration (BRIDGE) Platform. [PDF]

Aging Dis
Oh S, Sohn HY, Seo J, Kang E, Park JK, Moon SY, Kim HJ, Jung NY, Lee SM, Cheon BK, Jang H, Kang SH, Kang S, Choi KY, Yoo SW, Kim YJ, Cho J, Kim EJ, Seo SW, Lee KH, Kim JS, Koh YH, Kim CH, Kwon M, Kang D.   +24 more
europepmc   +1 more source

Human rabies in China: evidence-based suggestions for improved case detection and data gathering. [PDF]

Infect Dis Poverty, 2020
Li H, Liu JJ, Ding SJ, Cai L, Feng Y, Yu PC, Liu SQ, Lu XX, Tao XY, Zhu WY.   +9 more
europepmc   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Ambulatory Care Coordination Data Gathering and Use. [PDF]

Comput Inform Nurs
Geary CR, Hook M, Popejoy L, Smith E, Pasek L, Heermann Langford L, Hewner S.   +6 more
europepmc   +1 more source