A5101655873- Privacy-Preserving Technologies in Data
- Silicon and Solar Cell Technologies
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
- Privacy, Security, and Data Protection
- Service-Oriented Architecture and Web Services
- 2D Materials and Applications
- Thin-Film Transistor Technologies
- Access Control and Trust
- Complex Network Analysis Techniques
- Advanced Database Systems and Queries
- Semiconductor materials and devices
- Semiconductor materials and interfaces
- Cloud Computing and Resource Management
- Advanced Computational Techniques and Applications
- Advanced Graph Neural Networks
- Advanced Malware Detection Techniques
- Software System Performance and Reliability
- Integrated Circuits and Semiconductor Failure Analysis
- Data Quality and Management
- Data Management and Algorithms
- Advanced Photocatalysis Techniques
- Network Security and Intrusion Detection
- Business Process Modeling and Analysis
- MXene and MAX Phase Materials
Affiliated Hospital of Hangzhou Normal University
2020-2024
East China University of Science and Technology
2017-2024
Tsinghua University
2014-2024
Nanchang University
2021-2024
Wenzhou Medical University
2021-2024
Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University
2021-2024
China-Japan Friendship Hospital
1999-2023
Huizhou University
2023
Guangzhou Medical University
2023
Third Affiliated Hospital of Guangzhou Medical University
2023
The detection and recognition of traffic signs is an important topic in intelligent transportation systems. automatic during driving the basis for realizing unmanned driving. Therefore, work on has a potential value application prospect. In traditional methods, they often detect recognize image by image. this case, only information current used, relationship between sequences not considered. To end issue, we propose novel model that can use multi-images to video sequence quickly accurately....
Though widely utilized for facilitating image management, user-provided tags are usually incomplete and insufficient to describe the whole semantic content of corresponding images, resulting in performance degradations tag-dependent applications thus necessitating effective tag completion methods. In this paper, we propose a novel scheme denoted as LSR automatic via image-specific tag-specific Linear Sparse Reconstructions. Given an initial tagging matrix with each row representing column...
Seven centrality indexes are first presented for identifying important nodes with topological features of a complex network and electrical characteristics power system considered. Then, criteria importance through intercriteria correlation-based multi-index decision-making method, in which entropy the Spearman’s rank correlation coefficient integrated reflecting differences correlations among multiple indexes, respectively, is to comprehensively identify degrees given grid. Finally, proposed...
Objective The aim of this study was to evaluate and compare three common nutritional screening tools with the new European Society for Clinical Nutrition Metabolism (ESPEN) diagnostic criteria malnutrition among elderly patients gastrointestinal cancer. Research methodsandprocedures Nutritional tools, including Risk Screening 2002 (NRS 2002), Malnutrition Universal Tool (MUST) Short Form Mini Assessment (MNA-SF), were applied 255 We compared values these malnutrition, using ESPEN as ‘gold...
Information source detection, which is the reverse problem of information diffusion, has attracted considerable research effort recently. Most existing approaches assume that underlying propagation model fixed and given as input, may limit their application range. In this paper, we study multiple detection when unknown. Our basic idea prominence, namely nodes surrounded by larger proportions infected are more likely to be infection sources. As such, propose a method called Label Propagation...
Network embedding, aiming to project a network into low-dimensional space, is increasingly becoming focus of research. Semi-supervised embedding takes advantage labeled data, and has shown promising performance. However, existing semi-supervised methods would get unappealing results in the completely-imbalanced label setting where some classes have no nodes at all. To alleviate this, we propose two novel methods. The first one shallow method named RSDNE. Specifically, benefit from labels,...
Nanoporous materials are widely explored as efficient adsorbents for the storage of gases and liquids well effective low-dielectric in large-scale integrated circuits. These applications require fast heat transfer, while most nanoporous substances thermal insulators. Here, oriented growth micrometer-sized single-crystal covalent organic frameworks (COFs) ribbons with structures at an air–water interface is presented. The obtained COFs interconnected into a continuous purely crystalline thin...
Alzheimer's disease (AD) is a common degenerative brain disorder with limited therapeutic options. Curcumin (Cur) exhibits neuroprotective function in many diseases. We aimed to explore the role and mechanism of Cur AD. Firstly, we established AD mice by injecting amyloid-β1-42 (Aβ1–42) solution into hippocampus. Then, received 150 mg/kg/d for 10 consecutive days. The Morris water maze test was conducted evaluate cognitive hidden platform training probe trials. To assess spatial memory mice,...
There is a lot of research work on social ties, few which about the directionality ties. However, actually basic but important attribute In this paper, we present supervised learning problem, tie direction (TDL) aims to learn function directed networks. Two ways are introduced solve TDL problem: one based hand-crafted features and other, named DeepDirect, learns representation through topological information network. novel network embedding approach, directly maps ties low-dimensional...
Tuning the electrical transport behavior and reducing Schottky barrier height of nanoelectronic devices remain a great challenge. To solve this issue, electronic properties graphene/WSe2 heterostructure are investigated by first-principles method under out-of-plane strain an electric field. Our results show that WSe2 monolayer graphene could form stable van der Waals intrinsic well preserved. Furthermore, transformation contact from n-type to p-type occurs at d = 3.87 Å E +0.06 V Å-1. In...
Graph embedding, also known as network embedding and representation learning, is a useful technique which helps researchers analyze information networks through into low-dimensional space. However, existing graph methods are all node-based, means they can just directly map the nodes of to vectors while edges could only be mapped indirectly. One important reason computational cost, because number always far greater than nodes. In this article, considering an property social networks, i.e.,...
Alzheimer's disease (AD) is the most common form of dementia, and ginsenoside Rg2 (Rg2) proven to inhibit AD's progression. This study investigates potential benefits treatment on 3xTg-AD mice. Following 6 weeks gavage treatment, Rg2-treated mice exhibited improved spatial recognition memory behaviors, regional cerebral blood flow, histopathological injury hippocampus, which were observed through a Y-maze test, laser Doppler flowmetry, hematoxylin-eosin staining. Additionally, caused...
Abstract Titanium oxide (TiO 2 ) coated polyimide has broad application prospects under extreme conditions. In order to obtain a high-quality ultra-thin TiO coating on by atomic layer deposition (ALD), the was activated in situ oxygen plasma. It found that large number of polar functional groups, such as carboxyl, were generated surface polyimide, which can significantly promote preparation ALD. The nucleation and growth studied x-ray photoelectron spectroscopy monitoring scanning electron...
Network embedding, aiming to project a network into low-dimensional space, is increasingly becoming focus of research. Semi-supervised embedding takes advantage labeled data, and has shown promising performance. However, existing semi-supervised methods would get unappealing results in the completely-imbalanced label setting where some classes have no nodes at all. To alleviate this, we propose novel method, termed Relaxed Similarity Dissimilarity Embedding (RSDNE). Specifically, benefit...