Results 61 to 70 of about 12,185 (310)

Association of Higher Levels of High‐Sensitivity C‐Reactive Protein With Future Development of Psoriatic Arthritis in Psoriasis: A Prospective Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder   +5 more
wiley   +1 more source

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

open access: yesArthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim   +18 more
wiley   +1 more source

A Blockchain Consensus Mechanism to Optimize Reputation-Based Distributed Energy Trading in Urban Energy System

open access: yesIEEE Access
In modern cities, consumers with distributed energy resources (DERs) can trade energy by managing their consumption and supply. Blockchain is considered to provide technical support for establishing a distributed energy market, while the current ...
Chen Zhao, Dong Han, Chao Li, Han Wang
doaj   +1 more source

DAG-Based Distributed Ledger for Low-Latency Smart Grid Network

open access: yesEnergies, 2019
In this paper, we propose a scheme that implements a Distributed Ledger Technology (DLT) based on Directed Acyclic Graph (DAG) to generate, validate, and confirm the electricity transaction in Smart Grid. The convergence of the Smart Grid and distributed
Seongjoon Park, Hwangnam Kim
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath   +4 more
wiley   +1 more source

Transactions and consistency in distributed database systems

open access: yesACM Transactions on Database Systems, 1982
The concepts of transaction and of data consistency are defined for a distributed system. The cases of partitioned data, where fragments of a file are stored at multiple nodes, and replicated data, where a file is replicated at several nodes, are discussed. It is argued that the distribution and replication of data should be transparent to the programs
Cesare A. Galtieri   +3 more
openaire   +2 more sources

Microphysiological Glomerular Filtration Barriers: Current Insights, Innovations, and Future Applications

open access: yesAdvanced Biology, EarlyView.
The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran   +5 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

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

open access: yesAdvanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann   +5 more
wiley   +1 more source

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