A5046338161- Rough Sets and Fuzzy Logic
- Single-cell and spatial transcriptomics
- Infrastructure Maintenance and Monitoring
- Machine Fault Diagnosis Techniques
- Genetics, Aging, and Longevity in Model Organisms
- Endometrial and Cervical Cancer Treatments
- Health, Environment, Cognitive Aging
- Advanced Technology in Applications
- Advanced battery technologies research
- Pelvic and Acetabular Injuries
- Pregnancy and Medication Impact
- Pelvic floor disorders treatments
- Recycling and Waste Management Techniques
- Evaluation Methods in Various Fields
- Inflammatory Biomarkers in Disease Prognosis
- Advanced machining processes and optimization
- Simulation and Modeling Applications
- Non-Destructive Testing Techniques
- Fault Detection and Control Systems
- Winter Sports Injuries and Performance
- Engineering Diagnostics and Reliability
- Ovarian cancer diagnosis and treatment
- Electrocatalysts for Energy Conversion
- Anomaly Detection Techniques and Applications
- Extraction and Separation Processes
Yellow River Conservancy Technical Institute
2020-2025
Huazhong University of Science and Technology
2022-2024
National Clinical Research Center for Digestive Diseases
2023-2024
Tongji Hospital
2022-2024
China Electronics Technology Group Corporation
2024
Ministry of Education of the People's Republic of China
2023-2024
Yahoo (United Kingdom)
2023
Beijing Institute of Nanoenergy and Nanosystems
2022
East China University of Science and Technology
2022
Chinese Academy of Sciences
2022
Abstract Limited understanding exists regarding how aging impacts the cellular and molecular aspects of human ovary. This study combines single-cell RNA sequencing spatial transcriptomics to systematically characterize ovarian aging. Spatiotemporal signatures eight types cells during are observed. An analysis age-associated changes in gene expression reveals that DNA damage response may be a key biological pathway oocyte Three granulosa subtypes five theca stromal subtypes, as well their...
Purpose Worldwide, about 40% of women will experience pelvic organ prolapse (POP), and this proportion is expected to increase with the aging population. We investigated global, regional national influenza burden in past 30 years through age sociodemographic index (SDI). Patients methods Data were extracted from Global Burden Disease (GBD) 2019 database for 195 countries territories between 1990 2019. Estimated annual percentage changes (EAPCs) used explore age-standardized incidence rate...
Mechanical seals are critical components in the mechanical industry, and their operational status directly impacts performance of pumps, compressors, other machinery. Therefore, conducting research on fault diagnosis is essential. To enhance accuracy assessment model, we propose an integrated approach that leverages fusion multiple graph neural networks (GNNs). Firstly, recognizing diversity among different sensors, utilize multi-channel data to comprehensively represent state seal. These...
Mechanical seals play a crucial role in mechanical equipment by effectively preventing liquid or gas leakage, ensuring the normal operation of equipment, and avoiding energy waste environmental pollution. Especially pumps, compressors, other devices, ensure sealing performance while extending equipment’s lifespan improving work efficiency. Therefore, research on condition assessment is both necessary important. In order to achieve high accuracy model, comprehensive evaluation model that...
Existing methods for orthologous gene mapping suffer from two general problems: (i) they are computationally too slow and their results difficult to interpret automated large-scale applications when based on phylogenetic analyses; or (ii) prone making mistakes in dealing with complex situations involving horizontal transfers fusion due the lack of a sound basis sequence similarity information.We present novel algorithm, Global Optimization Strategy (GOST), through combining contextual...
Abstract For ocean-going ships, safety is very important. And fire would be the brunt of ship disasters and accidents. So emergency training a priority. The virtual fire-fighting system based on reality technique plays an important role training.
Local excision as the main alternative for fertility-sparing surgery (FSS) has been widely used in patients with early-stage cervical cancer to achieve fertility preservation, but its safety and practicability are still questioned. Therefore, The authors evaluated current application of local this population-based study compared efficacy hysterectomy.Women diagnosed International Federation Gynecology Obstetrics (FIGO) stage I at childbearing age (18-49 years) recorded Surveillance,...
In order to solve the problem that anomalous samples are scarce and model is susceptible abnormal data, this paper introduces idea of kernel trick in process constructing projection classifier constructs three kinds one-class classifiers: Projection Support Vector Data Description (PSVDD), K-means (PK-means) K-centers (PK-centers) by means Feature Selection (FVSP). further improve performance condition assessment model, uses method ensemble learning evidence theory with PSVDD, PK-means...
The clinical benefit of neoadjuvant chemotherapy (NACT) before concurrent chemoradiotherapy (CCRT) vs. adjuvant after CCRT is debated. Non-response to platinum-based NACT a major contributor poor prognosis, but there currently no reliable method for predicting the response (rNACT) in patients with locally advanced cervical cancer (LACC). In this study we developed machine learning (ML)-assisted model accurately predict rNACT. We retrospectively analyzed data on 636 diagnosed stage IB2 IIA2...
Abstract Automatic crack detection in construction facilities is a challenging yet crucial task. However, existing deep learning (DL)-based semantic segmentation methods for this field are based on fully supervised models and pixel-level manual annotation, which time-consuming labor-intensive. To solve problem, paper proposes novel network using weakly approach mixed-label training strategy. Firstly, an image patch-level classifier of trained to generate coarse localization map automatic...
Currently, map symbols that represent multivariable data sets in thematic are simple and not good at combined using, they can't satisfy the needs of displaying multiple-index mapping process. In this paper, face used to visualize multiple-variable sets. Firstly, it analyzes development symbol, then summarizes steps rules design symbol. At last, compares application effect symbol conventional statistics The results show represents better map.
Support vector data description (SVDD) has been applied to performance degradation assessment for years. But single kernel may not describe the varying distribution very well. Multi-kernel learning (MKL) method was developed and proved perform better than kernel. Previous studies have conducted build up a fixed model, which takes sample distance as index. However, different condition same in feature space. In this paper, we proposed new robust bearing based on multi-kernel SVDD, designed...
In order to assess the degree of wear tool for milling process quantitatively, a new assessment approach is proposed. Firstly, making full use neighbor information, two sensitive features are selected by using neighborhood rough set model, and then, boundary curves established nearest model with noncounter data in dimension spaces. Secondly, intersection area or expanding used describe difference between models because can consider effect distance angle simultaneously Thirdly, after...
Detecting objects is one of the most important problems in computer vision, including face detection, pedestrian detection and vehicle license detection. This paper proposes a new benchmark framework to evaluate different kinds detecting problems. A reasonable assessment metric for evaluating output with labeling information described. We also give an interactive pre-labeling method reduce workload video manual labeling. It can help us build ground truth datasets. present lots generally used...
Abstract This paper combines the domestic display software research and development work, process main technologies are described, model design verification under kirin operating system was carried out, standardization of data representation generalized control interface studied, driven mechanism has on preliminary study practive application, rationality test verify feasibility technology framework.The application results show that new is feasible efficient, which reduces difficulty...