Results 61 to 70 of about 43,243 (264)

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter   +10 more
wiley   +1 more source

Turing's red flag

open access: yesCommunications of the ACM, 2016
A proposal for a law to prevent artificial intelligence systems from being mistaken for humans.
openaire   +4 more sources

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Neutrophil granulocytes from Sysmex XN – are the results reliable when the “Blasts/Abn Lympho?” flag is reported?

open access: yesBioingeniøren
Introduction: The purpose of the study was to investigate whether neutrophil granulocytes can be reliably reported from the Sysmex XN analyzer without the need for blood smear review when the samples are associated with the "Blasts/Abn Lympho?" flag, and
Heidi Eilertsen   +2 more
doaj  

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

open access: yesAdvanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu   +12 more
wiley   +1 more source

Myogenic Fusogen‐Engineered Lipid Nanoparticles Enhance mRNA Delivery in Skeletal Muscle

open access: yesAdvanced Functional Materials, EarlyView.
This study reports a biomimetic strategy of engineering full‐length Myomaker, a muscle‐specific fusogen, into lipid nanoparticles (LNPs) to harness the native myoblast fusion capability for skeletal muscle mRNA delivery. The resulting Mymk‐LNPs enhance transfection in differentiating myocytes and enable Cre‐mediated reporter activation in injured ...
Fangyu Zhang   +18 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

Developing a Measles Flagging System within the Electronic Health Record

open access: yesAntimicrobial Stewardship & Healthcare Epidemiology
Background: In 2025, 50 measles outbreaks drove 87% of confirmed cases reported in the United States. As a highly infectious virus with an estimated R ranging from 12-18, we sought rapidly scalable and implementable measles preparedness measures for our ...
Jenna Rasmusson   +7 more
doaj   +1 more source

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