Results 201 to 210 of about 2,043,579 (311)

Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study. [PDF]

JMIR Med Inform
Yang HC, Hao AT, Liu SC, Chang YC, Tsai YT, Weng SJ, Chan MC, Wang CY, Xu YY.   +8 more
europepmc   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Transforming Education: Case-Based Integrated Learning Development and Implementation - A Mixed Methods Study at a Private Medical College. [PDF]

J Adv Med Educ Prof
Ali R, Afzal A, Shakil S, Sultan A, Babar S, Rehman J, Malik MGR, Qadir MS, Khan S, Saeed S.   +9 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Automated CT image prescription of the gallbladder using deep learning: Development, evaluation, and health promotion. [PDF]

Acute Med Surg
Yang CY, Kao HL, Chen YC, Kuo CF, Liu CH, Liu SC.   +5 more
europepmc   +1 more source

Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept. [PDF]

Sci Rep, 2020
Tran NK, Albahra S, Pham TN, Holmes JH, Greenhalgh D, Palmieri TL, Wajda J, Rashidi HH.   +7 more
europepmc   +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

Predicting new-onset stroke with machine learning: development of a model integrating traditional Chinese and western medicine. [PDF]

Front Pharmacol
Wang L, Shi J, Miao L, Chen Y, Wei J, Jia M, Gong Z, Yang Z, Lyu J, Zhang Y, Liang X.   +10 more
europepmc   +1 more source

From Regression Analysis to Deep Learning: Development of Improved Proxy Measures of State-Level Household Gun Ownership. [PDF]

Patterns (N Y), 2020
Gomez DB, Xu Z, Saleh JH.
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