Energy harvesting from fuel cell bicycles for home DC grids using soft switched DC-DC converter. [PDF]
Ramesh S, Elangovan D.
europepmc +1 more source
High-efficiency solar thermoelectric conversion enabled by movable charging of molten salts. [PDF]
Chang C, Wang Z, Fu B, Ji Y.
europepmc +1 more source
Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi +8 more
wiley +1 more source
Organic photovoltaic mini-module providing more than 5000 V for energy autonomy of dielectric elastomer actuators. [PDF]
Jiang E +11 more
europepmc +1 more source
Data on the current-voltage dependents of nickel hollow microspheres based thermo-electrochemical in alkaline electrolyte. [PDF]
Burmistrov I +10 more
europepmc +1 more source
A UAV Intelligent System for Greek Power Lines Monitoring. [PDF]
Tsellou A +6 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
Sleep-like slow waves during resting-state: A promising EEG biomarker of amyloid and neurodegeneration in preclinical Alzheimer's disease. [PDF]
Champetier P +14 more
europepmc +1 more source
Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning. [PDF]
Wu X +5 more
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

