Results 41 to 50 of about 126,562 (300)

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Modified Hierarchical Multiscale Dispersion Entropy and its Application to Fault Identification of Rotating Machinery

IEEE Access, 2020
The rotating machinery possesses complicated structures and various fault types, whose health state monitoring is essential for the normal production and operation of the equipment.
Fuming Zhou, Jinxing Shen, Xiaoqiang Yang, Xiaolin Liu, Wuqiang Liu   +4 more
doaj   +1 more source

A Study of Fault Signal Noise Reduction Based on Improved CEEMDAN-SVD

Applied Sciences, 2023
In light of the challenges posed by the complex structural characteristics and significant coupling of vibration signals in rotating machinery, this study proposes an adaptive noise reduction method called Complete Ensemble Empirical Mode Decomposition ...
Sixia Zhao, Lisha Ma, Liyou Xu, Mengnan Liu, Xiaoliang Chen   +4 more
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

An Integrated Fault Diagnosis Method for Rotating Machinery Based on Smoothness Priors Approach Fluctuation Dispersion Entropy and Density Peak Clustering

Shock and Vibration, 2022
In order to fully excavate the fault feature information of rotating machinery and accurately recognize the fault category, a novel fault diagnosis method was proposed, which combines with smoothness priors approach (SPA), fluctuation dispersion entropy (
Hongping Ge, Zhaohui Huang, Huaying Liu
doaj   +1 more source

The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting [PDF]

, 2014
In this paper a stochastic resonance (SR)-based method for recovering weak impulsive signals is developed for quantitative diagnosis of faults in rotating machinery.
Fengshou Gu, Guanghua Xu, He, He, Huang, Jeon, Jiang, Kuosheng Jiang, Lei, Li, Li, Lin Liang, Lou, Nikolaou, Seo, Somasundaram, Tangfei Tao, Wang, Yu, Zhou   +19 more
core   +2 more sources

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

Annals 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, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Intelligent Diagnosis of Rotating Machinery Based on Optimized Adaptive Learning Dictionary and 1DCNN

Applied Sciences, 2021
In the intelligent fault diagnosis of rotating machinery, it is difficult to extract early weak fault impact features of rotating machinery under the interference of strong background noise, which makes the accuracy of fault identification low.
Hongchao Wang, Chuang Liu, Wenliao Du, Shuangyuan Wang   +3 more
doaj   +1 more source

Frequency response functions and modal parameters of a rotating system exhibiting rotating damping [PDF]

, 2014
In the analysis of the stability threshold speed caused by rotating damping in rotating machinery, there is a lack of experimental data. This stability threshold speed can be found theoretically by means of a linear speed dependent model. The accuracy of
Derammelaere, Stijn, Loccufier, Mia, Stockman, Kurt, Vervisch, Bram   +3 more
core  

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 more
wiley   +1 more source