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21 papers found.
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Synthesis, characterization and dielectric properties of a novel temperature stable (1−x)CoTiNb2O8−xZnNb2O6 ceramic

(1−x)CoTiNb2O8−xZnNb2O6 microwave dielectric ceramics were prepared via the conventional solid-state reaction route with the aim of reducing the τf value and improving the thermal stability. The phase composition and the microstructure were investigated using X-ray diffraction, Raman spectra, and scanning electron microscopy. A set of phase transitions which were induced by...

Innervation zone distribution of the biceps brachii muscle examined using voluntary and electrically-evoked high-density surface EMG

High density surface electromyography (EMG) can be used to estimate muscle innervation zones (IZ). The objective of this study was to compare the differences in the distribution of the biceps brachii (BB) IZ derived from voluntary contractions (VC) and electrical stimulation (ES) of the musculocutaneous nerve. Surface EMG signals were recorded from the medial and lateral BB with...

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification

Qingshan She; nc.ude.udh@ehssq and Yingchun Zhang; ude.hu@49gnahzy Received 12 April 2018; Accepted 30 July 2018; Published 28 October 2018 Academic Editor: João M. R. S. Tavares Copyright © 2018

Comparison of the clinical effectiveness of US grading scoring system vs MRI in the diagnosis of early rheumatoid arthritis (RA)

As an irreversible disease, a treatment delay can negatively affect treatment response in rheumatoid arthritis (RA). Ultrasound and MRI have played an important role in assessing disease progression and response to treatment in RA for many years. The present study was designed to compare the diagnostic efficacy of ultrasound grading and MRI in early RA. In this retrospective...

Multi-region sequencing unveils novel actionable targets and spatial heterogeneity in esophageal squamous cell carcinoma

Yingchun Zhang 6 Yiqian Liu 6 Bin Wang 5 8 Yikun Cheng 9 Jiayi Li 10 Shixing Guo 6 Enwei Xu 6 11 Huijuan Liu 6 Caixia Cheng 6 12 Ling Zhang 6 Ling Chen 13 Xiaofei Zhuang 7 Yu Qian 6 Jian Yang 6 Yanchun Ma 6

Characterization of Volume-Based Changes in Cortical Auditory Evoked Potentials and Prepulse Inhibition

Yingchun Zhang 0 Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center - Houston, McGovern Medical School , USA 1 Department of Biomedical Engineering, University of

Deficiency of a triterpene pathway results in humidity-sensitive genic male sterility in rice

In flowering plants, the pollen coat protects the released male germ cells from desiccation and damage during pollination. However, we know little about the mechanism by which the chemical composition of the pollen coat prevents dehydration of pollen grains. Here we report that deficiency of a grass conserved triterpene synthase, OsOSC12/OsPTS1, in rice leads to failure of pollen...

Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification

Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation programs. While the noise-assisted multivariate empirical mode decomposition (NA-MEMD) algorithm has been utilized to extract task-specific frequency bands from all channels in the same scale as the intrinsic mode functions (IMFs), identifying and extracting the specific IMFs that...

EEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes

Understanding the mechanism of neuroplasticity is the first step in treating neuromuscular system impairments with cognitive rehabilitation approaches. To characterize the dynamics of the neural networks and the underlying neuroplasticity of the central motor system, neuroimaging tools with high spatial and temporal accuracy are desirable. EEG and fMRI stand among the most...

Relationship between hypnosis and personality trait in participants with high or low hypnotic susceptibility

Relationship between hypnosis and personality trait in participants with high or low hypnotic susceptibility Yingchun Zhang,1,2,* Yunke Wang,1,* Chanchan Shen,1,2 Yingying Ye,1 Si Shen,1 Bingren

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization

Support vector machines are powerful tools used to solve the small sample and nonlinear classification problems, but their ultimate classification performance depends heavily upon the selection of appropriate kernel and penalty parameters. In this study, we propose using a particle swarm optimization algorithm to optimize the selection of both the kernel and penalty parameters in...

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization

Support vector machines are powerful tools used to solve the small sample and nonlinear classification problems, but their ultimate classification performance depends heavily upon the selection of appropriate kernel and penalty parameters. In this study, we propose using a particle swarm optimization algorithm to optimize the selection of both the kernel and penalty parameters in...

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization

Support vector machines are powerful tools used to solve the small sample and nonlinear classification problems, but their ultimate classification performance depends heavily upon the selection of appropriate kernel and penalty parameters. In this study, we propose using a particle swarm optimization algorithm to optimize the selection of both the kernel and penalty parameters in...

Robust Fault Reconstruction in Discrete-Time Lipschitz Nonlinear Systems via Euler-Approximate Proportional Integral Observers

The problem of observer-based robust fault reconstruction for a class of nonlinear sampled-data systems is investigated. A discrete-time Lipschitz nonlinear system is first established, and its Euler-approximate model is described; then, an Euler-approximate proportional integral observer (EPIO) is constructed such that simultaneous reconstruction of system states and actuator...

Robust Fault Reconstruction in Discrete-Time Lipschitz Nonlinear Systems via Euler-Approximate Proportional Integral Observers

The problem of observer-based robust fault reconstruction for a class of nonlinear sampled-data systems is investigated. A discrete-time Lipschitz nonlinear system is first established, and its Euler-approximate model is described; then, an Euler-approximate proportional integral observer (EPIO) is constructed such that simultaneous reconstruction of system states and actuator...

High Fidelity Tape Transfer Printing Based On Chemically Induced Adhesive Strength Modulation

Transfer printing, a two-step process (i.e. picking up and printing) for heterogeneous integration, has been widely exploited for the fabrication of functional electronics system. To ensure a reliable process, strong adhesion for picking up and weak or no adhesion for printing are required. However, it is challenging to meet the requirements of switchable stamp adhesion. Here we...

Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary

This paper proposed a novel algorithm to sparsely represent a deformable surface (SRDS) with low dimensionality based on spherical harmonic decomposition (SHD) and orthogonal subspace pursuit (OSP). The key idea in SRDS method is to identify the subspaces from a training data set in the transformed spherical harmonic domain and then cluster each deformation into the best-fit...

Association of Preexisting Drug-Resistance Mutations and Treatment Failure in Hepatitis B Patients

The role of preexisting minority drug-resistance mutations in treatment failure has not been fully understood in chronic hepatitis B patients. To understand mechanisms of drug resistance, we analyzed drug-resistance mutations in 46 treatment-failure patients and in 29 treatment-naïve patients and determined linkage patterns of the drug-resistance mutations in individual viral...

Study on the Absorbed Fingerprint-Efficacy of Yuanhu Zhitong Tablet Based on Chemical Analysis, Vasorelaxation Evaluation and Data Mining

) sample 9, (J) sample10, (K) sample 11, (L) sample 12. (TIF) Conceived and designed the experiments: HY LH. Performed the experiments: HX Yingchun Zhang YZ SW YL DL Yi Zhang LJ. Analyzed the data: KL ST

A New Imaging Platform for Visualizing Biological Effects of Non-Invasive Radiofrequency Electric-Field Cancer Hyperthermia

Herein, we present a novel imaging platform to study the biological effects of non-invasive radiofrequency (RF) electric field cancer hyperthermia. This system allows for real-time in vivo intravital microscopy (IVM) imaging of radiofrequency-induced biological alterations such as changes in vessel structure and drug perfusion. Our results indicate that the IVM system is able to...