A5052292010- Functional Brain Connectivity Studies
- Neural Networks and Applications
- Neural Networks Stability and Synchronization
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Model Reduction and Neural Networks
- Evaluation and Optimization Models
- Machine Learning in Healthcare
- Machine Learning and ELM
- Cancer-related molecular mechanisms research
- Smart Grid Energy Management
- Power Systems and Technologies
- Venous Thromboembolism Diagnosis and Management
- Advanced Clustering Algorithms Research
- Gene expression and cancer classification
- Color Science and Applications
- Smart Grid and Power Systems
- Advanced Graph Neural Networks
- Advanced SAR Imaging Techniques
- Industrial Technology and Control Systems
- Advanced Computational Techniques and Applications
- Electric Power System Optimization
Xi'an Jiaotong University
2015-2025
North China Electric Power University
2011-2025
National Clinical Research Center for Digestive Diseases
2023-2024
Capital Medical University
2019-2024
Beijing Friendship Hospital
2022-2024
Beijing Institute of Technology
2011-2023
Army Medical University
2022-2023
Southwest Hospital
2022-2023
State Grid Corporation of China (China)
2021
Central South University
2021
This paper proposes a cable-driven parallel waist rehabilitation robot with two-level control algorithm to assist the patients injuries do some training. The uniqueness of is that it can accurately implement relative lateral bending, flexion, extension, and rotation on premise safety. enabled by mechanism design according motion characteristics human waist, satisfy need different injury patients. kinematics dynamics are analyzed. In addition, controller introduced improve accuracy training...
Deep learning (DL) has been extremely successful when applied to the analysis of natural images. By contrast, analyzing neuroimaging data presents some unique challenges, including higher dimensionality, smaller sample sizes, multiple heterogeneous modalities, and a limited ground truth. In this article, we discuss DL methods in context four diverse important categories field: classification/prediction, dynamic activity/connectivity, multimodal fusion, interpretation/visualization. We...
A catalyst kinetics optimization strategy based on tuning active site intermediates adsorption is proposed. Construction of the M-OOH catalytic before rate-determining step (RDS) considered a central issue in strategy, which can optimize overall by avoiding competition from other reaction site. Herein, kinetic energy barrier O-O coupling for as-prepared sulfated Co-NiFe-LDH nanosheets significantly reduced, resulting formation at low overpotential, directly confirmed situ Raman and charge...
Dynamic effective connectivity networks (dECNs) reveal the changing directed brain activity and dynamic causal influences among regions, which facilitate identification of individual differences enhance understanding human brain. Although existing discovery methods have shown promising results in network analysis, they often overlook dynamics causality, addition to incorporation spatio-temporal information data. To address these issues, we propose a deep fusion architecture, employs encoder...
For a two-stage variable-pitch axial fan, perforation design in first-stage rotor blades was proposed to improve aerodynamic performance and reduce acoustic noise. Utilizing steady-state simulations Fluent, the internal flow characteristics of fan before after were studied, changes noise vortex structure examined by large eddy simulation. Additionally, diameter with better applied second-stage both first- blades, effects on different stages compared. The results show that an appropriate can...
Abstract Cancer susceptibility candidate 19 (CASC19) is a novel long non-coding RNA (lncRNA) that has been reported to implicate in the development and therapeutic resistance of various cancers. However, biological functions underlying mechanisms CASC19 gastric cancer (GC) remain unclear. In this study, GC-related lncRNAs were screened by lnCAR-database analysis. Based on Gene Expression Profiling Interactive Analysis (GEPIA) database, GC survival analysis associated with was carried out....
Hinokitiol is a natural bioactive tropolone derivative isolated from Chamaecyparis obtusa and Thuja plicata, which exhibits promising potential in terms of antioxidant anti-inflammatory properties possesses potent iron-binding capacity. In this study, we aimed to investigate the role hinokitiol protecting against ethanol-induced gastric injury elucidate underlying mechanism. Our results demonstrated that effectively attenuated hemorrhagic lesions, epithelial cell loss, inflammatory response...
Modeling dynamic interactions among network components is crucial to uncovering the evolution mechanisms of complex networks. Recently, spatio-temporal graph learning methods have achieved noteworthy results in characterizing changes inter-node relations (INRs). However, challenges remain: The spatial neighborhood an INR underexploited, and dependencies INRs' are overlooked, ignoring influence historical states local information. In addition, model's explainability has been understudied. To...
Abstract Background Some of the non‐criteria autoantibodies, especially non‐conventional antiphospholipid (aPL) antibodies, were present with high prevalence in sporadic miscarriages and recurrent pregnant loss. However, whether these autoantibodies are associated miscarriage patients without apparent causes remain unclear. Methods The subjects recruited from female visiting Infertility Center at Beijing Obstetrics Gynecology Hospital January 2017 to March 2018. women who experienced one (n...
Abstract This article mainly focuses on the most common types of high-speed railways malfunctions in overhead contact systems, namely, unstressed droppers, foreign-body invasions, and pole number-plate malfunctions, to establish a deep-network detection model. By fusing feature maps shallow deep layers pretraining network, global local features malfunction area are combined enhance network's ability identifying small objects. Further, order share fully connected network reduce complexity...