Results 151 to 160 of about 2,563,822 (300)

Demand flexibility models

open access: yes
Estimation of the available deployable flexibility and its exploitation and dispatch features on each combination of load and demand response service based on modelling physicsdriven or datadriven ...
openaire   +1 more source

The Development of Rheumatoid Arthritis–Specific Ambulatory Care–Sensitive Conditions: Results of a Consensus Process

open access: yesArthritis Care &Research, EarlyView.
Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin   +7 more
wiley   +1 more source

Facilitating megacity electricity decarbonization via grid-interactive demand-side resource management. [PDF]

open access: yesNat Commun
Li K   +10 more
europepmc   +1 more source

Positive Affect is Associated with Better Physical Function in Early Rheumatoid Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective This study examined the association between positive affect and physical function in individuals with early rheumatoid arthritis (RA). Methods We analyzed baseline data from 129 adults with early RA (persistent joint symptoms for ≤ 24 months) and active disease enrolled in the Central Pain in RA 2 (CPIRA‐2) study.
Burcu Aydemir   +9 more
wiley   +1 more source

THE FORMAL LOGIC OF TESTING STRUCTURAL CHANGE IN MEAT DEMAND: A METHODOLOGICAL ANALYSIS [PDF]

open access: yes
In the past two decades, the profession has expended valuable resources testing structural change in meat demand with mixed results. Overlooked to date is a fundamental methodological problem that transcends all of the methods of testing for structural ...
Davis, George C.
core  

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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