Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China. [PDF]
Comput Intell Neurosci, 2021 Dong H, Gao Y, Fang Y, Liu M, Kong Y.
europepmc +1 more source
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
MODE – REGRESSION BASED MODEL FOR SHORT TERM LOAD FORECASTING
Yanbu Journal of Engineering and Science, 2021 Ahmad Al-Subhi, Chokri Belhadj Ahmad
doaj +1 more source
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting†. [PDF]
Sensors (Basel), 2021 Jung S, Moon J, Park S, Hwang E.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane +43 more
wiley +1 more source
The Short-Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai'an, Shandong Province, China. [PDF]
Comput Intell Neurosci, 2021 Sun J, Dong H, Gao Y, Fang Y, Kong Y.
europepmc +1 more source
Short-Term Load Forecasting With Exponentially Weighted Methods
IEEE Transactions on Power Systems, 2012 Short-term load forecasts are needed for the efficient management of power systems. Although weather-based modeling is common, univariate models can be useful when the lead time of interest is less than one day. A class of univariate methods that has performed well with intraday data is exponential smoothing.
openaire +2 more sources
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Fusion Forecasting Algorithm for Short-Term Load in Power System
EnergiesShort-term load forecasting plays an important role in power system scheduling, optimization, and maintenance, but no existing typical method can consistently maintain high prediction accuracy.
Tao Yu +4 more
doaj +1 more source