Results 211 to 220 of about 6,654,090 (402)

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

Advanced 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, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

2025 ACC/AHA/ASE/ASNC/SCCT/SCMR Advanced Training Statement on Advanced Cardiovascular Imaging: A Report of the ACC Competency Management Committee. [PDF]

J Cardiovasc Magn Reson
Baldassarre LA, Mendes LA, Blankstein R, Hahn RT, Patel AR, Russell R, Abbara S, Ahmad SM, Brady MB, Bullock-Palmer RP, Cavalcante JL, Chareonthaitawee P, Chen T, Clark DE, Conaway DG, Daubert MA, Day J, Di Carli MF, Galazka P, Gallegos-Kattán C, Herrmann H, Ho EC, Jellis CL, Le VT, Lema PC, Litmanovich DE, Little SH, Liu JE, Lopez-Mattei JC, Lumsden AB, Malaisrie SC, Melduni RM, Nieman K, Nikravan S, Ordovas KG, Parwani P, Patel KK, Phoubandith DR, Punnoose LR, Rybicki FJ, Sensakovic WF, Shapiro MD, Sperry BW, Spragg D, Tong MS, Vogel-Bass E, Volgman AS, Waheed A, Weissman G, Wells BJ.   +49 more
europepmc   +1 more source

Facilitating Expedited Drug Approval—the Past, Present, and Future of Clinical Trials for Pediatric Rheumatic Disease

Arthritis Care &Research, EarlyView.
Pamela F. Weiss, Hermine I. Brunner
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Improving computer vision for plant pathology through advanced training techniques. [PDF]

Appl Plant Sci
Sykes JR, Denby KJ, Franks DW.
europepmc   +1 more source

Who benefits from training and R&D: The firm or the workers? A study on panels of French and Swedish firms [PDF]

The present paper offers a novel study of the effects of intangible assets on wages and productivity. Training, R&D, and physical capital are all taken into account, and their joint effects examined.
Gérard Ballot, Erol Taymaz, Fathi Fakhfakh   +2 more
core  

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

Improving capacity for advanced training in obstetric surgery: evaluation of a blended learning approach. [PDF]

BMC Med Educ
Allott H, Smith A, White S, Nyaoke I, Evans O, Oduor MO, Karangau S, Sawe S, Shaaban N, Ephraim O, Ameh CA.   +10 more
europepmc   +1 more source

miRNAtools: Advanced Training Using the miRNA Web of Knowledge. [PDF]

Noncoding RNA, 2018
Stępień EŁ, Costa MC, Enguita FJ.
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