Results 121 to 130 of about 972,559 (290)
2025 Alaska Railbelt Net Metering Update
The 2025 Alaska Railbelt Net Metering Update is a summary of the growth of the installed net metered distributed generation capacity on the Alaska Railbelt during 2024 as reported in utility filings submitted to the Regulatory Commission of Alaska (RCA).
Modler, Kate, Pike, Chris
openaire +2 more sources
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell +2 more
wiley +1 more source
Prosumer investments in photovoltaics - analysis of profitability, motivation and user satisfaction
Objectives The aim of the study was to examine the experiences of prosumers related to the use of micro photovoltaic (PV) installations in households in various regions of Poland Material and methods The study focused on issues related to the ...
Waldemar Kozłowski +2 more
doaj +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Wet Gas Flow Metering Technique Using a Venturi With Conductance Sensors [PDF]
Wet gas metering is becoming an increasingly important problem to the oil and gas industry. Much research has been done to measure the water and gas flow rates of two-phase flows using a Venturi meter.
Musbah, Abdurazzaq
core +3 more sources
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Transformation of the Network Tariff Model in Slovenia: Impact on Prosumers and Other Network Users
The aim of this paper is to present the transformation of the network tariff system in Slovenia using a comprehensive assessment methodology for the techno-economic evaluation of electricity costs for households. The novelty of the proposed approach lies
Klemen Sredenšek +4 more
doaj +1 more source

