A5100520454- Birth, Development, and Health
- Neuroendocrine Tumor Research Advances
- Cardiac Structural Anomalies and Repair
- Respiratory Support and Mechanisms
- Neurological Disease Mechanisms and Treatments
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Advanced Chemical Sensor Technologies
- Neuroblastoma Research and Treatments
- Job Satisfaction and Organizational Behavior
- Growth Hormone and Insulin-like Growth Factors
- Tissue Engineering and Regenerative Medicine
- Fault Detection and Control Systems
- Cardiac Arrest and Resuscitation
- Diet, Metabolism, and Disease
- Neural Networks and Applications
- Meat and Animal Product Quality
- Aquaculture disease management and microbiota
- Mineral Processing and Grinding
- Pancreatic and Hepatic Oncology Research
- Cardiac Fibrosis and Remodeling
Sun Yat-sen University
2024
Sun Yat-sen Memorial Hospital
2024
Fujian Provincial Hospital
2024
Guangzhou Center for Disease Control and Prevention
2023
New Mexico Institute of Mining and Technology
2002
The death and disability caused by myocardial infarction is a health problem that needs to be addressed worldwide, poor cardiac repair fibrosis after seriously affect patient recovery. Postmyocardial M2 macrophages of great significance for ventricular remodeling. Quercitrin (Que) common flavonoid in fruits vegetables has antioxidant, anti-inflammatory, antitumor other effects, but whether it role the treatment unclear. In this study, we constructed mouse model administered Que. We found...
Coronary atherosclerotic heart disease is an important, worldwide burden on human health. Central muscle infarction the most dangerous condition, has highest mortality and disability rates, gradually becoming more common among young people. After myocardial infarction, neutrophils recruited to infarcted area promote inflammatory response by releasing proinflammatory factors chemokines release matrix metalloproteinases myeloperoxidases that degrade extracellular produce reactive oxygen...
This paper addresses the issue of identifying important input parameters in building a multilayer, backpropagation network (BPN). Since identification and/or redundant BPN leads to reduced size, shortened training time, and possibly more accurate results network, it is an great practical as well theoretical interests. We compare three different methods that have been proposed for inputs-sensitivity analysis, fuzzy curves, change MSE-and analyze their effectiveness on BPNs trained model...