Results 121 to 130 of about 9,644,665 (267)

Abstracts of the Academic Medical Congress of Piaui (COMAPI) 2019

open access: yesInternational Journal of Medical Students, 2020
IJMS Executive Committee of IJMS
doaj   +1 more source

An Evaluation of Regional Cardiovascular Disease and Cancer Research Needs Using Conference Abstracts. [PDF]

open access: yesAnn Glob Health, 2021
Williamson GA   +5 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

open access: yesAdvanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw   +3 more
wiley   +1 more source

Partnering to Improve Care: Highlights From the 21st Annual Conference of the HMO Research Network

open access: yesJournal of Patient-Centered Research and Reviews, 2015
Michael K. Gould
doaj   +1 more source

Abstracts 2015-I

open access: yes, 2015
s 2015-
Abstracts, Abstracts
core  

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

Abstract of Conferences

open access: yesMedicine & Health, 2019
openaire   +1 more source

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