Publications by authors named "ZhenWan Li"
Article Synopsis
- The text discusses the importance of anomaly detection in the Industrial Internet of Things (IIoT) due to increasing data and security challenges.
- It introduces a new deep learning model called MIX_LSTM designed to improve anomaly detection by optimizing feature selection and loss functions that address data imbalances.
- The model was tested on two datasets (UNSW-NB15 and NSL-KDD), achieving impressive metrics like low False Alarm Rates and high AUC-ROC and AUC-PR values, demonstrating its effectiveness in detecting anomalies.
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory damage and cognitive dysfunction. Studies have shown that defective autophagic flux is associated with neuronal dysfunction. Modulating autophagic activity represents a potential method of combating AD.
View Article and Find Full Text PDF[Study on molecular target of Taohong Siwu Decoction in delaying growth of fibroblasts based on network pharmacology].
Zhongguo Zhong Yao Za Zhi
September 2020
Article Synopsis
- Taohong Siwu Decoction (THSWD) is a traditional Chinese medicine that may help improve blood circulation and combat renal fibrosis, particularly in cases of IgA nephropathy (IgAN), although the exact mechanism isn’t fully understood.
- Researchers used network pharmacology to identify 61 active ingredients and 240 targets in THSWD, focusing on the role of the ERK factor in relation to IgAN fibrosis.
- Experimental results indicated that THSWD significantly reduced the activity of fibroblasts by lowering ERK1/2 mRNA and phosphorylated ERK1/2 protein levels, suggesting its potential as a treatment option for delaying fibrosis progression.