Results 71 to 80 of about 70,390 (338)

Long‐Term Survival, Burden of Disease, and Patient‐Centered Outcomes in Maximally Treated Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Increasing evidence shows that patients with intracerebral hemorrhage (ICH) can achieve better‐than‐expected outcomes with aggressive therapy. However, real‐world long‐term data, patient‐centered outcomes, and societal measures after maximal ICH treatment are lacking.
Anne Mrochen   +11 more
wiley   +1 more source

A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models

open access: yesAdvanced Engineering Materials, EarlyView.
In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas   +15 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

open access: yesAdvanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi   +4 more
wiley   +1 more source

Highly Available Queue-oriented Speculative Transaction Processing [PDF]

open access: yesarXiv, 2021
Deterministic database systems have received increasing attention from the database research community in recent years. Despite their current limitations, recent proposals of distributed deterministic transaction processing systems demonstrated significant improvements over systems using traditional transaction processing techniques (e.g., two-phase ...
arxiv  

FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing

open access: yesAdvanced Engineering Materials, EarlyView.
The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling   +6 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Automated Workflow for Phase‐Field Simulations: Unveiling the Impact of Heat‐Treatment Parameters on Bainitic Microstructure in Steel

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, OpenPhase software is used to simulate low‐carbon bainitic steels. The lower holding temperature sample exhibits smaller and finer grains. Grain thickness measurements of bainitic ferrite from simulations align with the experimental observations at high temperature. Bainitic steels are extensively utilized across various sectors, such as
Dhanunjaya K. Nerella   +7 more
wiley   +1 more source

Debugging Transactions and Tracking their Provenance with Reenactment [PDF]

open access: yesarXiv, 2017
Debugging transactions and understanding their execution are of immense importance for developing OLAP applications, to trace causes of errors in production systems, and to audit the operations of a database. However, debugging transactions is hard for several reasons: 1) after the execution of a transaction, its input is no longer available for ...
arxiv  

Digital Methods for the Fatigue Assessment of Engineering Steels

open access: yesAdvanced Engineering Materials, EarlyView.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener   +7 more
wiley   +1 more source

Modeling and Accessing Smart Materials with Integrity Constraints in the Shapes Constraint Language and Ontologies—The SmaDi Way

open access: yesAdvanced Engineering Materials, EarlyView.
Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep   +5 more
wiley   +1 more source

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