A5100405257- Advanced Decision-Making Techniques
- Smart Materials for Construction
- Landslides and related hazards
- Transportation Safety and Impact Analysis
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Evaluation and Optimization Models
- Advanced Image Fusion Techniques
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Transportation and Mobility Innovations
- Sulfur Compounds in Biology
- Electrochemical Analysis and Applications
- Erosion and Abrasive Machining
- Fire dynamics and safety research
- Fire Detection and Safety Systems
- Hydrocarbon exploration and reservoir analysis
- Educational Technology and Pedagogy
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Biosensors and Analytical Detection
- Paleontology and Stratigraphy of Fossils
- Analytical Chemistry and Sensors
- Breast Cancer Treatment Studies
- Bacteriophages and microbial interactions
- Molecular Sensors and Ion Detection
Xinjiang Production and Construction Corps
2024-2025
Qinghai University Affiliated Hospital
2025
Yunnan Normal University
2022-2024
Institute for Forecasting of the Slovak Academy of Sciences
2023
Cytoskeleton (United States)
2023
Chang'an University
2023
Northwest Institute of Nuclear Technology
2023
Henan Polytechnic University
2022
Hefei University of Technology
2021
Changzhou Vocational Institute of Light Industry
2020
To effectively mitigate disaster damage, it is crucial to obtain landslide information quickly and accurately with the abundant remote sensing images. Although related detection research has been carried out a lot in recent years, all of still based on single-label image classification. Meanwhile, existing methods face challenges balancing global local effectively, interpreting modeling intricate inter-label dependencies. solve problems above, we perform multi-label annotation Bijie dataset...
Abstract We aimed to evaluate the efficacy and safety of adding apatinib, sintilimab chemotherapy in neoadjuvant treatment early triple-negative breast cancer (TNBC). In phase 2 NeoSAC trial, patients with TNBC received six cycles sintilimab, nab-paclitaxel, carboplatin followed by surgery. The primary endpoint was pathological complete response (pCR) rate. Specimens collected pre-neoadjuvant therapy post-surgery were retained for comprehensive analysis predictive biomarkers impact on tumor...
Slow-moving landslides pose significant long-term hazards in seismically active mountainous regions. However, their subtle deformation patterns and complex internal structures present challenges for accurate identification monitoring using conventional methods. This study integrates remote sensing technologies, including InSAR, DIC, LiDAR, UAV photogrammetry, to comprehensively analyze the Shibatai creep landslide Wenchuan earthquake-affected area. Results reveal that exhibits a four-stage...
Following the COVID-19 pandemic, resurgence of Mycoplasma pneumoniae (MP) infections among children in China has raised urgent concerns regarding antimicrobial drug resistance. We reveal molecular characteristics macrolide-resistant MP (MRMP) with community-acquired pneumonia (CAP) autumn, winter, and spring 2023-2024 Urumqi, Xinjiang, China. Throat samples were collected from 1446 hospitalized for CAP between October 2023 April 2024. The polymerase chain reaction fluorescent probe method...
This work aimed to identify and evaluate best practices that could be implemented minimize the corrosion of chloride deicers on winter application equipment vehicles. Identified included design improvements, maintenance practices, anticorrosion coatings, inhibitors, salt removers, so on. A nationwide survey was conducted capture current knowledge about estimating deicer costs vehicles equipment, defining problem, identifying or products for managing problem. For agencies report as a...
Abstract Synthetic aperture radar (SAR) image change detection suffers from poor quality of the difference and low accuracy. Hence, this paper proposes a SAR method based on fused an optimized random forest scheme, termed LRN‐SSARF. Specifically, fusion operator LRN is proposed, which generated using weighted log‐ratio (LR), ratio (R), normalized (NoR). This generation reduces noise's influence. Then, Otsu algorithm applied to segment select training samples. The samples are input into (RF)...
A simple and rapid system based on Raman nanosphere (R-Sphere) immunochromatography was developed in this study for the simultaneous detection of Influenza A, B virus antigens a single test line (T-line). Two types R-Sphere with different characteristic spectrum were used as signal source, which labeled monoclonal antibodies against FluA, FluB (tracer antibodies), respectively. mixture containing anti-FluA antibody anti-FluB (capture antibody) sprayed T-line goat anti-chicken IgY coated...
A scientific evaluation of network's threat degree is an important part network risk assessment. It's main basis to perform active defense for supervisory systems. And itpsilas function system. necessary create a credible and general evaluating index model in Many indices affect the generally they also each other. Thus it can not reflect real situation with weights determined by single method. According indicespsila effect, this paper proposed algorithm which combines grey correlation theory...
Abstract In this paper, the Gobi Desert landform is used as a test site to analysis results on surface wave survey. The body exploration methods are determined velocity structure of reference standard firstly. Subsequently, different acquisition parameters for tested. After comparing results, optimal selected by using multi-channel method (MASW). Meanwhile, several theoretical equations estimating minimum offset, optimum geophone spread length, and resolution dispersion demonstrated...
Synthetic aperture radar (SAR) target recognition is an important part of SAR image interpretation. It has been widely used in the field national defense and economy. At present, feature extraction based on convolution a local operation space time. The kernel extracts features region with certain step size. global information picture can only be obtained by increasing number layers. However, this method will not increase difficulty model training but also makes optimization network more...
Mercury species, including inorganic and organic mercury, are extremely harmful to organisms the environment. Therefore, it is of great significance rapidly selectively detect distinguish mercury ions mercury. This study reports peptide sequences that can act as ligands. The fluorescent probe KEEP ((Dansyl-Glu-Glu)2 Lys-NH2) species by its coordination with side chain glutamic acid. Hg2+ be detected the“turn-off”fluorescence mode, while CH3Hg+ PhHg+ the“turn-on”fluorescence mode. different...