A5031081011- Plant-derived Lignans Synthesis and Bioactivity
- Influenza Virus Research Studies
- interferon and immune responses
- Tryptophan and brain disorders
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Power Systems and Technologies
- Immune responses and vaccinations
- High voltage insulation and dielectric phenomena
- Immune Response and Inflammation
- Smart Grid and Power Systems
- Non-Destructive Testing Techniques
- Ion Channels and Receptors
- Evaluation Methods in Various Fields
- Advanced Computational Techniques and Applications
- Long-Term Effects of COVID-19
- Polyamine Metabolism and Applications
- Machine Fault Diagnosis Techniques
- Mosquito-borne diseases and control
- Herbal Medicine Research Studies
- Advanced Decision-Making Techniques
- Advanced Sensor and Control Systems
- Genomics, phytochemicals, and oxidative stress
- Machine Learning and ELM
- Water Quality Monitoring and Analysis
Chinese Academy of Agricultural Sciences
2022-2025
China Southern Power Grid (China)
2019-2021
Transient receptor potential vanilloid 4 (TRPV4) is a calcium-permeable cation channel critical for maintaining intracellular Ca2+ homeostasis and essential in regulating immune responses, metabolic processes, signal transduction. Recent studies have shown that TRPV4 activation enhances influenza A virus infection, promoting viral replication transmission. However, there has been limited exploration of antiviral drugs targeting the channel. In this study, we developed first machine learning...
Abstract Background Influenza viruses, especially A virus and B virus, are respiratory pathogens can cause seasonal epidemics pandemics. Severe influenza viruses infection induces strong host-defense response excessive inflammatory response, resulting in acute lung damage, multiple organ failure high mortality. Isoquercitrin is a Chinese medicine monomer, which was reported to have biological activities, including antiviral activity against HSV, IAV, SARS-CoV-2 so on. Aims of this study were...
Influenza virus is prone to seasonal spread and widespread outbreaks, which pose important challenges public health security. Therefore, it effectively prevent treat influenza infection. Schisandra polysaccharide (SPJ) a derived from the fruit of chinensis (Turcz.) Baill. In this study, we evaluated antiviral activity SPJ in vitro vivo , especially against A (IAV) By analyzing structure monosaccharide composition, molecular weight was determined be 115.5 KD, composed galacturonic acid...
Abstract Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes non-symptomatic infection, mild influenza-like symptoms to pneumonia, distress syndrome, and even death, reflecting different clinical of viral infection. However, the mechanism its pathogenicity remains unclear. Host-specific traits have a breakthrough significance for studying SARS-CoV-2. We previously reported SARS-CoV-2/BMA8, mouse-adapted strain, was lethal aged BALB/c mice but not C57BL/6N mice....
<title>Abstract</title> <bold>Background</bold> Influenza virus causes worldwide outbreaks and seasonal epidemics, severely threatening public health social development. Effective prevention therapy for influenza infections are a major challenge to global healthcare. <bold>Results</bold> Taurolidine effectively inhibited the proliferation of several human or animal strains protected mice from lethal-infection. treatment decreased viral titer in lungs infected mice, reduced immune cells...
Abstract Considering power quality, a user-oriented and extended index system of supply reliability has been built, comprehensive evaluation based on improved entropy method in distribution network designed this paper. Firstly, the paper built an from 3 following aspects: side, user side as well contrast, therefore, 7 new user-side indexes can reflect real level by its continuity availability, 2 contrast line among users low medium voltage; Secondly, considering requirements characteristics,...
Abstract Supply power for important load in priority is the fundamental principle during shortage. For reason that existing classification too simple to compare importance degree of loads at same level, this paper proposed a comprehensive evaluation method degree. First, an indicator system established measure importance. Then model designed basing on improved rank correlation analysis method, which sets weights based subject and object calculates value according 4 indicators, including...
Abstract In this paper, we summarize the problems existing in traditional partial discharge PRPS sample enhancement method, and propose a method based on spectrum enhancement, including threshold denoising, noise superposition, data density, sparsity, phase shift, matrix so on. It solves problem that difficulty of collecting cases restricts application intelligent algorithms such as deep neural network. The practical shows local can effectively enhance size, make distribution uniform...
Abstract With the rapid development of smart grid, substation is gradually transforming to unattended monitoring mode, which puts forward higher requirements for visualization substation. At present, most visual display methods have some problems, such as non intuitive, poor interactivity, high cost, etc. based on this, this paper designs a platform status information equipment by combining 3D realistic modeling and software technology basis various research. The can realize advanced...
Abstract Aiming at the problem of judging opening / closing time node by directly detecting switch quantity in process mechanical characteristics cabinet, this paper puts forward a method to calculate with CT secondary current as original data. This through acquisition side current, data any phase, calculating threshold, intercepting alternative data, slope and rate change, is obtained, solve many scenarios difficulties, judgement open/close low accuracy performance. Through practical...
Abstract Partial discharge type identification is of great significance to the diagnosis insulation faults in high-voltage power equipment. The partial recognition method based on deep learning map has disadvantages large memory space and high hardware environment requirements. This paper presents a GIS defect system Extreme Learning Machine (ELM), which can be deployed edge layer principal component analysis used obtain parameters that characterize defects form sample feature data set. set...