A5100617262- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
- Synthesis and biological activity
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
- Bladder and Urothelial Cancer Treatments
- Synthesis and Characterization of Heterocyclic Compounds
- Quinazolinone synthesis and applications
- Image Enhancement Techniques
- Global Health Care Issues
- Healthcare Systems and Reforms
- Glaucoma and retinal disorders
- Industrial Vision Systems and Defect Detection
- Click Chemistry and Applications
- Scientific Computing and Data Management
- Educational Reforms and Innovations
- Urinary Tract Infections Management
- Monoclonal and Polyclonal Antibodies Research
- Traffic Prediction and Management Techniques
- Human Pose and Action Recognition
- Bacteriophages and microbial interactions
University of California, Los Angeles
2024-2025
Hebei Agricultural University
2025
Chinese PLA General Hospital
2025
Peking University
2018-2024
Northwest A&F University
2016-2024
Third Affiliated Hospital of Harbin Medical University
2024
Harbin Medical University
2021-2024
Institute of Process Engineering
2023
Fort Valley State University
2023
Central China Normal University
2023
Nearest neighbor search aims at obtaining the samples in database with smallest distances from them to queries, which is a basic task range of fields, including computer vision and data mining. Hashing one most widely used methods for its computational storage efficiency. With development deep learning, hashing show more advantages than traditional methods. In this survey, we detailedly investigate current algorithms supervised unsupervised hashing. Specifically, categorize into pairwise...
The following topics are dealt with: learning (artificial intelligence); optimisation; telecommunication traffic; Internet; cloud computing; computational complexity; mobile resource allocation; security of data; and network routing.
A key issue in genomic signal processing is the inference of gene regulatory networks. These are used both to understand role biological regulation phenotypic determination and derive therapeutic strategies for genetic-based diseases. In this paper, networks inferred via evolutionary modeling based on time-series microarray measurements. nonlinear differential equation model adopted. It includes random noise parameters intrinsic arising from stochasticity transcription translation external...
// Bin Guo 1, * , Leilei Li Jiapei Aidong Liu 1 Jinghua Wu Haixin Wang 3 Jun Shi Dequan Pang and Qing Cao 2 North China University of Science Technology Affiliated Hospital, Tangshan, Hebei, Hebei Medical Second Shijiazhuang, Hospital Traditional Chinese Medicine Tangshan City, These authors contributed equally to this work Correspondence to: Wu, email: tswujinghua@163.com Keywords: hepatocellular carcinoma, M2 tumor-associated macrophages, interleukin-17, chaperone-mediated autophagy,...
Abstract Background To assess the effectiveness of China's medicine and health care reform in promoting equity utilization among rural residents, it is necessary to analyze temporal trends residents China. This study first horizontal inequity Chinese from 2010 2018 provides evidence for improving government policies. Methods Longitudinal data obtained China Family Panel Studies were used determine outpatient inpatient utilization. Concentration index, concentration curve, index calculated...
Wet age-related macular degeneration (wAMD) causes central vision loss and represents a major health problem in elderly people. Here we have used untargeted metabolomics using UHPLC-MS to profile plasma from 127 patients with wAMD (67 choroidal neovascularization (CNV) 60 polypoidal vasculopathy (PCV)) 50 controls. A total of 545 biochemicals were detected. Among them, 17 metabolites presented difference between Most them oxidized lipids (N=6, 35.29%). Comparing controls, 28 18 differential...
This paper explores the recent advancements in enhancing Computational Fluid Dynamics (CFD) tasks through Machine Learning (ML) techniques. We begin by introducing fundamental concepts, traditional methods, and benchmark datasets, then examine various roles ML plays improving CFD. The literature systematically reviews papers five years introduces a novel classification for forward modeling: Data-driven Surrogates, Physics-Informed ML-assisted Numerical Solutions. Furthermore, we also review...
Graph neural networks (GNNs) have gained considerable attention in recent years for traffic flow prediction due to their ability learn spatio-temporal pattern representations through a graph-based message-passing framework. Although GNNs shown great promise handling datasets, deployment real-life applications has been hindered by scalability constraints arising from high-order message passing. Additionally, the over-smoothing problem of may lead indistinguishable region as number layers...
Graph neural networks (GNNs) have gained considerable attention in recent years for traffic flow prediction due to their ability learn spatio-temporal pattern representations through a graph-based message-passing framework. Although GNNs shown great promise handling datasets, deployment real-life applications has been hindered by scalability constraints arising from high-order message passing. Additionally, the over-smoothing problem of may lead indistinguishable region as number layers...
This paper studies the problem of unsupervised domain adaptive hashing, which is less-explored but emerging for efficient image retrieval, particularly cross-domain retrieval. typically tackled by learning hashing networks with pseudo-labeling and alignment techniques. Nevertheless, these approaches usually suffer from overconfident biased pseudo-labels inefficient without sufficiently exploring semantics, thus failing to achieve satisfactory retrieval performance. To tackle this issue, we...
Newcastle disease (ND), which is caused by the virus (NDV), one of most important avian diseases in poultry. Since its discovery 1926, ND has great economic losses to world poultry industry and remains a threat chickens wild birds. Although stringent vaccination policy widely adopted control ND, outbreaks still occur, virulent NDV sporadically isolated from To study pathogenesis provide tools prevent prevalence, novel antibody fragments should be developed. The variable domains heavy chain...
Constant monitoring is performed to elucidate the role of natural hosts in ecology Newcastle disease virus (NDV). In this study, an NDV strain isolated from asymptomatic pigeon was sequenced and analysed. Results showed that full-length genomes isolate were 15,198 nucleotides with gene order 3'-NP-P-M-F-HN-L-5'. This lentogenic, intracerebral pathogenicity index 0.00 a mean time death more than 148 h. The possessed motif -(112)E-R-Q-E-R-L(117)- at F protein cleavage site. addition, 7 13...
Abstract Cystitis cystica et glandularis (CCEG) is a chronic cystitis that causes extreme agony in affected patients. However, there are lack of effective conservative treatments. In this study, it evident intravesicular sodium hyaluronate (SH) therapy significantly improved the clinical symptoms CCEG patients and ameliorated bladder mucosal inflammation cell proliferation characteristics disease. Immunohistochemical staining showed intensities hyaluronidase (HYAL 1/2), CD44, IL-6...
Recently, deep learning-based single image dehazing method has been a popular approach to tackle dehazing. However, the existing approaches are performed directly on original hazy image, which easily results in blurring and noise amplifying. To address this issue, paper proposes DPDP-Net (Dual-Path Dual-Path network) framework by employing hierarchical dual path network. Specifically, first-level dual-path network consists of Dehazing Network Denoising Network, where is responsible for haze...
In recent years, due to the increasing number of cross-regional medical patients, countries around world have issued a series policies or regulations reduce their out-of-pocket burden. this context, study intended explore impact Spatio-temporal characteristics treatment on total expenses, insurance payments, and expenses patients with malignant tumors in low-income areas.This included 54,904 data cross-provincial tumor insured Heilongjiang Province, China 2020. Firstly, Microsoft Excel 2019...