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Article
Combined Catalpol and Tetramethylpyrazine Promote Axonal Plasticity in Alzheimer’s Disease by Inducing Astrocytes to Secrete Exosomes Carrying CDK5 mRNA and Regulating STAT3 Phosphorylation
Alzheimer’s disease (AD) is a common progressive degenerative disease of the central nervous system in aging populations. This study aimed to investigate the effects of combined catalpol and tetramethylpyrazin...
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Article
A phase-field model for simulating the propagation behavior of mixed-mode cracks during the hydraulic fracturing process in fractured reservoirs
A novel phase-field model for the propagation of mixed-mode hydraulic fractures, characterized by the formation of mixed-mode fractures due to the interactions between fluids and solids, is proposed. In this m...
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Article
Deep Learning Architecture for Computer Vision-based Structural Defect Detection
Structural health monitoring (SHM) refers to the implementation of a damage detection strategy for structures. Fault occurrence in these structural systems during the operation is inevitable. Efficient, fast, ...
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Article
Open AccessHigh-resolution cryo-EM structure of the Pseudomonas bacteriophage E217
E217 is a Pseudomonas phage used in an experimental cocktail to eradicate cystic fibrosis-associated Pseudomonas aeruginosa. Here, we describe the structure of the whole E217 virion before and after DNA ejection ...
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Article
Determination of process window for laser peening of thin metal sheets by localized indentation analysis
Laser peening is a surface treatment that utilizes laser-induced mechanical shockwaves to introduce compressive residual stresses into the components. This study explores localized indentation profiles induced...
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Article
Microwave Absorption Properties of FeSiCr/MnZn Ferrite Composites Prepared by Two-Step Synthesis
FeSiCr/MnZn ferrite composites with low permittivity were prepared by a two-step synthesis method, which can improve the absorbing property of the material. The phase and thermal behavior of the composites wer...
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Article
The Role of Blood–Brain Barrier Dysfunction in Mild Cognitive Impairment: a Scientometric and Visualization Analysis from 2000 to 2021
Mild cognitive impairment (MCI) is a pathological stage between normal cognitive aging and dementia. The blood–brain barrier (BBB) breakdown is emerging as an early biomarker of MCI. This study aimed to visual...
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Article
Open AccessEffects of high-intensity interval training on improving arterial stiffness in Chinese female university students with normal weight obese: a pilot randomized controlled trial
High intensity interval training (HIIT) has been reported to exert better effects on cardiovascular fitness in obesity, but little known about the arterial stiffness (AS) in female university students with nor...
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Article
Application of borophene as catechol sensor: a computational study
The efficacy of borophene (BP) as catechol (CC) sensor was explored using density functional theory (DFT) method. All calculations were performed at B3LYP level of theory and 6–31 + G(d) basis set employing th...
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Article
Open AccessCOVID-19 Epidemic and Public Health Measures in China
The study aims to analyze the status quo of public health emergency measures taken in China in dealing with the spread of new coronavirus pneumonia (COVID-19), and to put forward policy suggestions for system ...
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Article
Open AccessThe proatherosclerotic function of indoleamine 2, 3-dioxygenase 1 in the developmental stage of atherosclerosis
The discrepancy of indoleamine 2, 3-dioxygenase 1 (IDO1) function in atherosclerosis has been noted. Compared to the protective effect of IDO1 against established atherogenesis, the role of IDO1 in the develop...
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Chapter and Conference Paper
Continuous Motion Recognition in Depth Camera Based on Recurrent Neural Networks and Grid-based Average Depth
Inspired by the success of using RNN in some other fields, we propose to apply the RNN to recognize human motion based on depth data. RNN can directly model the depth sequence on the time axis, and learn the t...
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Chapter and Conference Paper
An Improved Clothing Parsing Method Emphasizing the Clothing with Complex Texture
Recently, researches on clothing segmentation and style recognition in still images have made a big breakthrough. Clothing parsing, as the basis of the above researches, has also made great progress. Unfortun...
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Chapter and Conference Paper
Robust Scene Text Detection for Multi-script Languages Using Deep Learning
Text detection in natural images has been a high demand for a lot real-life applications such as image retrieval and self-navigation. This work deals with the problem of robust text detection especially for mu...
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Article
Automatic alignment for virtual fitting using 3D garment stretching and human body relocation
In recent years, researches on virtual fitting are mostly based on the data of garment pieces through Computer Aided Design. However, three-dimensional garment models are more intuitive, integrated and easy to...
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Chapter and Conference Paper
One-Shot-Learning Gesture Segmentation and Recognition Using Frame-Based PDV Features
This paper proposes one novel on-line gesture segmentation and recognition method for one-shot-learning on depth video. In each depth image, we take several random points from the motion region and select a g...
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Chapter and Conference Paper
DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Cameras
We propose a method for training deep convolutional neural networks (CNNs) to recognize the human actions captured by depth cameras. The depth maps and 3D positions of skeleton joints tracked by depth camera l...
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Chapter and Conference Paper
An Incremental SRC Method for Face Recognition
Face recognition has been studied for decades and been used widely in our daily life. However, when the practical application is concerned, not only the occlusion, pose and expression variations, but also the ...
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Chapter and Conference Paper
Action Segmentation and Recognition Based on Depth HOG and Probability Distribution Difference
The paper presents a method to automatically separate consecutive human actions into subsegments and recognize them. The 3D positions of the joints tracked by depth camera like Kinect sensors and the depth mot...
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Chapter and Conference Paper
A New Text Detection Algorithm for Content-Oriented Line Drawing Image Retrieval
Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to their low efficiency by first recognizing va...
