A5100686407- Cerebrovascular and Carotid Artery Diseases
- Cardiac Imaging and Diagnostics
- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Neuroscience and Neuropharmacology Research
- Advanced Computing and Algorithms
- Alzheimer's disease research and treatments
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Digital Games and Media
- RNA modifications and cancer
- Radiomics and Machine Learning in Medical Imaging
- Muscle activation and electromyography studies
- RNA and protein synthesis mechanisms
- Legal Education and Practice Innovations
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Cardiovascular Health and Disease Prevention
- RNA Research and Splicing
- Medicinal Plant Pharmacodynamics Research
- Balance, Gait, and Falls Prevention
- Sparse and Compressive Sensing Techniques
- Phonocardiography and Auscultation Techniques
- Gene expression and cancer classification
- Visual perception and processing mechanisms
Ludong University
2013-2024
Chinese PLA General Hospital
2010-2023
Shenyang Aerospace University
2015-2023
Nanjing University of Aeronautics and Astronautics
2023
East China Normal University
2020-2023
Jinzhou Medical University
2012-2022
Southern University of Science and Technology
2021-2022
Xi'an University of Architecture and Technology
2022
Chinese Academy of Cultural Heritage
2022
National Institutes for Food and Drug Control
2016-2021
Alzheimer's disease (AD) is the most common neurodegenerative disorder in elderly population. In treatment of AD, some obstacles, including drug penetration difficulty through blood-brain barrier (BBB), inadequate clearance Aβ peptide, and massive release inflammatory factors, must be urgently overcome. To solve these problems, we developed special novel nanoparticles (NPs) made chitosan (CS) bovine serum albumin (BSA) to enhance drugs BBB. Curcumin as a potent anti-inflammatory agent was...
With increasing amounts of information, the image information received by people also increases exponentially. To perform fine-grained categorization and recognition images visual calculations, this study combines Visual Geometry Group Network 16 model convolutional neural networks vision attention mechanism to build a multi-level feature model. Finally, TensorFlow platform is utilized simulate classification based on mechanism. The results show that in terms accuracy required training time,...
Whole heart segmentation is an important medical imaging method used to enable clinical applications. However, automatic of the still a challenging task due complexity and particularity images, especially when segmented into substructures. In this study, we present training strategy that relies on two-stage U-Net framework adaptive threshold window automatically segment whole its The consists region interest (ROI) detection accurate remove noisy parts data while preserving anatomical...
Rotenone is a mitochondrial complex I inhibitor, which can cause the death of dopaminergic (DA) neurons and Parkinson’s disease (PD). Currently, whether metformin has protective effect on neurotoxicity induced by rotenone unclear. The purpose this study was to evaluate potential against rotenone-induced neurotoxicity. PD animal model established unilateral injection into right substantia nigra (SN) C57BL/6 mice. behavioral tests were performed rotarod test cylinder test. numbers TH-positive...
We have been pursuing a modular approach to modeling and investigating the neural control of posture movement. A is practical natural way function structure complex central nervous system (CNS). The modules can include skeletal dynamics, muscle dynamics with recruitment force-generation characteristics, basic spinal cord circuits responsible for local stretch reflex, interneuronal networks that provide modulation various reflexes, structures brain circuits, strategy decision-making centers....
Background:
Following a social defeat, the balanced establishment and extinction of aversive information is beneficial strategy for individual survival. Abnormal or implicated in development mental disorders. This study investigated time course from acute defeat temporal responsiveness basolateral amygdala (BLA), ventral hippocampus (vHIP) medial prefrontal cortex (mPFC) this process.Mouse models were established by using resident-intruder paradigm. To evaluate engram intruder mice placed into novel...
Deep learning (DL) has been widely used in biomedical image segmentation and automatic disease diagnosis, leading to state-of-the-art performance. However, automated cardiac diagnosis heavily relies on maps from magnetic resonance (CMR), most current DL methods, such as 2D convolution planes, 3D convolution, are not fully applicable CMR due loss of spatial structure information or large gap between slices. To make better exploit aspects the data improve accuracy, we propose a new structure,...
The purpose of the research is to investigate roles Jak-STAT3 signaling pathway in bufalin-induced apoptosis colon cancer SW620 cells. inhibitory effects bufalin on cell proliferation were determined by MTT (Methyl thiazolyltetrazolium) assay. morphological changes cells measured Wright-Giemsa staining. cycle arrest and tested flow cytometry analysis. Western Blot was used determine protein expression inhibitors livin caspase-3, apoptosis-related proteins Bax Bcl-2, as well key kinases...
Arrhythmia is a prevalent cardiovascular disease, which has garnered widespread attention due to its age‐related increases in mortality rates. In the analysis of arrhythmia, electrocardiogram (ECG) plays an important role. classification often suffers from significant data imbalance issue limited availability for certain arrhythmia categories. This problem significantly affects performance model. To address this challenge, augmentation emerges as viable solution, aiming neutralize adverse...
Objective: Multicontrast, high-resolution carotid magnetic resonance imaging (MRI) has been validated with histology to quantify atherosclerotic plaque morphology and composition. For evaluating the lipid-rich necrotic core (LRNC) fibrous cap, both of which are key elements in determining stability, combined pre- postcontrast T1-weighted (T1W) sequences have recently shown a higher reproducibility than other contrast weightings. In this study, we sought determine whether weightings beyond...
The accurate construction of neural circuits requires the precise control axon growth and guidance, which is regulated by multiple guidance cues during early nervous system development. It generally thought that major steps development have been defined. Here, we describe cerebellin-1 (Cbln1) as a novel cue controls diverse aspects throughout central (CNS) experiments using mouse chick embryos. Cbln1 has previously shown to function in late influence synapse organization. find an essential...
Abstract RNA‐binding proteins (RBPs) play significant roles in many biological life activities, algorithms and tools are proposed to predict RBPs for researching mechanisms of RNA‐protein binding sites. Deep learning based on traditional machine get better result predicting RBPs. Recently, deep method fused with attention mechanism has attracted huge fields gets competitive result. Thus, module may also improve model performance In this study, we propose convolutional residual multi‐head...
The segmentation of coronary arteries is a vital process that helps cardiovascular radiologists detect and quantify stenosis. In this paper, we propose fully automated artery from cardiac data volume. method built on statistics region growing together with heuristic decision. First, the heart extracted using multi-atlas-based approach. Second, vessel structures are enhanced via 3D multiscale line filter. Next, seed points detected automatically through threshold preprocessing subsequent...
Purpose: To demonstrate the potential benefits of T2* relaxation time intervertebral discs (IVDs) regarding detection and grading degenerative disc disease using 3.0-T magnetic resonance imaging (MRI) in a clinical setting. Materials Methods: Cervical sagittal T2-weighted, MRI was performed at 61 subjects, covering C2–3 to C6–7. All were morphologically assessed based on Pfirrmann grade, regions interests (ROIs) drawn over mapping. Receiver operating characteristic (ROC) analysis among...
Current networks are designed for peak loads leading to low utilization of power resources.In order solve this problem, a heuristic energy-saving virtual network embedding algorithm based on the Katz centrality (Katz-VNE) is proposed.For solving an we introduce represent node influence.In minimize energy consumption substrate network, problem formulated as integer linear program, and Katz-VNE used problem.The tries embed nodes onto with high centrality, which effective, uses shortest paths...