Results 91 to 100 of about 7,891,445 (296)
The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity
Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav +4 more
wiley +1 more source
Fully Symmetrical Hybrid PV Converter With Low Common-Mode Noise
Hybrid converters with multiports (simultaneous dc and ac outputs) are promising solutions to reduce conversion stages from solar energy to various loads, and thereby increasing the utilization of residential PV systems. Considering common-mode noises suppression and high reliability, this article proposes a fully symmetrical hybrid PV converter ...
Zhongting Tang +2 more
openaire +3 more sources
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
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
Common-Mode EMI Reduction in Switching Flyback Power Supply by Implementing Cancellation Method of Heat-Sink Capacitor [PDF]
Electromagnetic compatibility in switching power converters which are noise sources themselves, has a special importance. Electromagnetic interference (EMI) in the form of conducted or radiated reaches to sensitive sections and interferes with their ...
Mohammad Rouholah Yazdani, Maryam Fazel
doaj
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +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
Higher mode surface wave interferometry. Geologica Ultraiectina (336) [PDF]
In this thesis, we investigate the feasability of using higher modes in seismic interferometry. This is done by a theoretical and computation analysis of the approximations involved, development of a method of stacking noise traces, and analysis of a ...
Kimman, W.P. +2 more
core +1 more source
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
Taking mine-used multi-function control driver as an example, the paper proposed an optimization scheme to suppress conducted EMI noise of single-chip microcomputer.
WANG Hua-ping
doaj

