Results 111 to 120 of about 6,155,302 (304)
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Integrating Real-World Case Studies into Wind Energy Graduate Education
, 2015 Wind power continues to grow rapidly as a fuel source for the electric power industry in the US. Recent data for 2014 show that wind power in Texas alone delivered in excess of 10 percent of the annual electrical energy consumed in the state.
Pattison, Chris +1 more
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Wind Energy in Saudi Arabia Opportunities and Challenges
, 2022 Wind energy has been recognized as one of the fastest-growing energy sources in world and as a key role in reducing greenhouse gas emissions, reducing dependence on oil, diversifying energy supply, and providing electricity at a low cost.
Alkinani, Sadeem +3 more
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Arthritis Care &Research, EarlyView.Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
, 2018 In this guest-lecture several aspects of wind energy were discussed, in particular the present situation in the Netherlands. Additionally upcoming challenges and future scenarios were included.
openaire +2 more sources
Model‐free closed‐loop wind farm control using reinforcement learning with recursive least squares
Wind EnergyWind farms experience significant power losses due to wake interactions between turbines. Research shows that wake steering can alleviate these losses by redirecting the flow through the farm. However, dynamic closed‐loop implementations of wake steering
Jaime Liew +3 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler +20 more
wiley +1 more source
Distributed Wind - Economical, Clean Energy for Industrial Facilities
, 2011 Distributed wind energy works for industrial clients. Corporations and other organizations are choosing to add Distributed Wind energy to their corporate goals for a numerous reasons: economic, environmental, marketing, values, and attracting new ...
James, F., Trapanese, A.
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Advanced 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