Results 141 to 150 of about 3,078,288 (287)

Domestic Automotive Industry: Consumer Requirements

Proceedings of the International Science and Technology Conference "FarEastСon" (ISCFEC 2019), 2019
S.V. Bulganina, M.P. Prokhorova, T.E. Lebedeva, E.E. Egorov   +3 more
openaire   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

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

Advanced 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, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Consumer and Health Care Professional Perspectives on a Digital Platform to Support Preventive Antenatal Care: Qualitative Descriptive Study. [PDF]

JMIR Form Res
Doherty E, Dilworth S, Rice A, Wedesweiler T, Shrestha R, Greenwood S, Foster M, Lewis J, Daly J, Wyse R, Mallise C, Kingsland M.   +11 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Furniture Design Considerations with Using Smart Display Tables for Customer Interactions

BioResources
In the 21st century, with active policy support, the smart hardware industry ushered in rapid development of the Internet of things, big data, and other emerging technologies, which has brought people a more intelligent way of life.
Wenjing Zhan, Chengmin Zhou, Chenchen He, Jake Kaner   +3 more
doaj   +2 more sources

Consumers' Attitudes and Preferences Towards Ingredients List, Nutrition Information and Health Warning Labelling on Alcohol Products: A Scoping Review. [PDF]

Curr Nutr Rep
Crevar M, Esterman A, Corsi AM, Waye V, Ireland C.   +4 more
europepmc   +1 more source

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

Governing AI for Mental Health: Fragmented State Approaches and the Case for a Federal Framework. [PDF]

JMIR Ment Health
Aldhalimi A.
europepmc   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source