Results 91 to 100 of about 2,403,325 (304)

Variable Stiffness Flexure Structures Enabled by Phase‐Change Gallium and Adhesive Interfacial Locking for Soft Robotic Applications

open access: yesAdvanced Engineering Materials, EarlyView.
A flexure‐based variable stiffness structure is developed by integrating phase‐change modulation and adhesive interfacial locking of gallium. The design enables a wide stiffness variability, transitioning from soft, flexible behavior to rigid, load‐supporting performance.
Sungjin Kim   +2 more
wiley   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Planetary fine-tuning, cosmological fine-tuning, and the multiverse

open access: yesSynthese
Abstract Many philosophers and scientists take cosmological fine-tuning—roughly the fact that our universe would have been devoid of life if it had had slightly different cosmological parameters—to point to the existence of a designer or multiverse.
openaire   +2 more sources

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

open access: yesAdvanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies   +2 more
wiley   +1 more source

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

open access: yesGenome Biology
Background Genomic sequence-to-expression deep learning models, which are trained to predict gene expression and other molecular phenotypes across the reference genome, have recently been shown to have poor out-of-the-box performance in predicting gene ...
Ruchir Rastogi   +3 more
doaj   +1 more source

Explaining the Fine Tuning of the Universe to Us and the Fine Tuning of Us to the Universe

open access: yesRoyal Institute of Philosophy Supplement, 2011
I shall start, if you will permit me, by indicating how I shall be understanding a couple of crucial terms, what I shall be meaning when I talk this evening of ‘the universe’ and of ‘God’.
openaire   +2 more sources

Fine-Tuning S1P Therapeutics

open access: yesChemistry & Biology, 2012
Sphingosine 1-phosphate receptor-1 (S1P(1)), a novel therapeutic target for multiple sclerosis, regulates lymphocyte trafficking, heart rate, and vascular function. The discovery of NIBR-0213, a competitive antagonist for S1P(1) that inhibits autoimmune inflammation while sparing bradycardia (Quancard et al., in this issue of Chemistry & Biology ...
Obinata, Hideru, Hla, Timothy
openaire   +2 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models

open access: yesJournal of High Energy Physics, 2017
The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories.
Peter Athron   +5 more
doaj   +1 more source

Fine-tuning the search for microsatellites

open access: yesJournal of Discrete Algorithms, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Corné de Ridder   +4 more
openaire   +1 more source

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