A5103019642- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Natural Language Processing Techniques
- Crystallization and Solubility Studies
- Cholesterol and Lipid Metabolism
- Biochemical Analysis and Sensing Techniques
- Bone health and osteoporosis research
- Phytoestrogen effects and research
- Domain Adaptation and Few-Shot Learning
- Molten salt chemistry and electrochemical processes
- Robotics and Sensor-Based Localization
- Pituitary Gland Disorders and Treatments
- Multimodal Machine Learning Applications
- Rare-earth and actinide compounds
- Bone Metabolism and Diseases
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Inorganic Fluorides and Related Compounds
- Bone health and treatments
- X-ray Diffraction in Crystallography
- Glioma Diagnosis and Treatment
Zhejiang Chinese Medical University
2025
Second People’s Hospital of Huai’an
2025
Xuzhou Medical College
2025
Smile Train
2024
Tianjin Medical University Cancer Institute and Hospital
2023
This study aimed to analyse the relationship of blood lipid profile and interleukin-6 (IL-6) with osteoporosis osteopenia explore predictive value combined application these biomarkers in osteopenia. Data from 276 patients treated orthopaedics department were retrospectively analysed. Their general information was collected, relationships among profile, IL-6 bone turnover markers, mineral density (BMD) Patients categorized based on their T scores for intergroup comparisons. Finally,...
Hypercholesterolemia is a metabolic disease characterized by elevated cholesterol level in the blood, which risk factor for many diseases. Probiotic intervention may be one of ways to improve hypercholesterolemia. In this study, three strains with better removal ability were selected from 60 lactic acid bacteria, and orally administered apolipoprotein E-deficient mice on high-cholesterol diet. Among strains, only Limosilactobacillus fermentum TY-S11, was isolated intestine longevity person,...
Image-text matching has been a long-standing problem, which seeks to connect vision and language through semantic understanding. Due the capability manage large-scale raw data, unsupervised hashing-based approaches have gained prominence recently. They typically construct similarity structure using natural distance, subsequently provides guidance model optimization process. However, could be biased at boundaries of distributions, causing error accumulation during sequential optimization. To...
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