Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter. [PDF]
González-Hernández JG +3 more
europepmc +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
The Impact of Maximum Power Point Tracking Algorithms on Properties of On-Chip PV-Based Energy Harvester for IoT Devices. [PDF]
Hudec A +4 more
europepmc +1 more source
Method for maximum power point tracking and verification by modeling a unified wind energy conversion system. [PDF]
González-Hernández JG +3 more
europepmc +1 more source
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand +5 more
wiley +1 more source
Enhanced maximum power point tracking using hippopotamus optimization algorithm for grid-connected photovoltaic system. [PDF]
Taha SA +4 more
europepmc +1 more source
Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin +8 more
wiley +1 more source
A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems. [PDF]
Duraisamy S, Thangavelu V.
europepmc +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
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
A comprehensive study of recent maximum power point tracking techniques for photovoltaic systems. [PDF]
Ali MH, Zakaria M, El-Tawab S.
europepmc +1 more source

