Results 131 to 140 of about 127,689 (298)

Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan   +3 more
wiley   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler   +20 more
wiley   +1 more source

Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model. [PDF]

open access: yesAppl Bionics Biomech, 2022
Shao L, Guo Q, Li C, Li J, Yan H.
europepmc   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

Forecasting from one day to one week ahead for the Spanish system operator [PDF]

open access: yes
This paper discusses the building process and models used by Red Eléctrica de España (REE), the Spanish system operator, in short-term electricity load forecasting.
Antoni Espasa   +2 more
core  

SHORT TERM LOAD FORECASTING UNTUK HARI LIBUR PADA KONDISI BEBAN ANOMALI MENGGUNAKAN ALGORITMA HYBRID BACK PROPAGATION-SWARM PARTICLE [PDF]

open access: yes, 2015
Keakuratan prediksi beban listrik akan berdampak pada biaya pembangkitan yang lebih ekonomis. Penggunaan energi listrik pada hari libur nasional, menunjukkan pola beban yang cenderung tidak identik, pola ini berbeda dari pola beban pada hari normal.
Rasyid, Sopian Al
core  

Data Selection for Short Term load forecasting

open access: yes, 2019
Power load forecast with Machine Learning is a fairly mature application of artificial intelligence and it is indispensable in operation, control and planning. Data selection techniqies have been hardly used in this application. However, the use of such techniques could be beneficial provided the assumption that the data is identically distributed is ...
Pereira, Nestor   +4 more
openaire   +2 more sources

Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease

open access: yesAnnals 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

Fusion Forecasting Algorithm for Short-Term Load in Power System

open access: yesEnergies
Short-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

Home - About - Disclaimer - Privacy