Results 211 to 220 of about 11,508,248 (248)

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

Machine learning-driven identification and experimental validation of key biomarkers in the bile acid metabolic pathway associated with ulcerative colitis. [PDF]

Front Immunol
Wu Y, Gu D, Liu J, Yang Y, Wang Y, Wang Y, Mu Y, Sun R, Huang B.   +8 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Temporal epidemiology and multi-source forecasting of hemorrhagic fever with renal syndrome and leptospirosis in mainland China: An interpretable machine learning study. [PDF]

Prev Med Rep
Gong M, Zhou Y, Chen S, Zhang C.
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Standardising Access to Sensitive Data with Machine-Actionable Access Conditions. [PDF]

Int J Popul Data Sci
van der Meer L, Hesam A, Touber J, Braukmann R, Thorpe D, Kraaikamp E, Emery T.   +6 more
europepmc   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Construction of a Machine Learning-Based Risk Prediction Model for Drug-Induced Acute Kidney Injury in Elderly Patients. [PDF]

Int J Nephrol Renovasc Dis
Xu X, Huang H, Xu Y, Liu Y, Yi J, Zou Q, Wu J, Liu X.   +7 more
europepmc   +1 more source

Deciphering the Immune Landscape of Abdominal Aortic Aneurysm: A Machine Learning and Cross-Species Validated Multi-Omics Approach. [PDF]

J Inflamm Res
Peng M, Nie M, Cao Y, Liu Q, Xing C, Li X, Li Y, Wu Z, Zhang WW.   +8 more
europepmc   +1 more source