Foreign Venture Capital Firm - Skye in China.

The reasons of why Tom Skype paid more attention to Venture Capital management have received more and more attentions from academic researchers in many current business studies. Based upon one case study in the Skype, this research has analyzed the significant of the Venture Capital. This research listed some differences of the situations in for the Skype and how it set up the Venture Capital strategic in China, then gave the author's own opinions to the research question

A COMPARATIVE STUDY ON SOFTWARE PIRACY BETWEEN CHINA AND AMERICA

Software piracy in China has been a serious problem for decades. This paper builds on an existing software piracy model and adds a cultural dimension. We aim to study the differences between the U.S. and Chinese college students on their attitude toward software piracy, perceived punishment, subjective norms, perceived behavioral control and piracy intention. Through the data analysis, we aim to find the key factors that influence the piracy intent, to identify the differences between the Chinese and Americans, and to provide insights to fight piracy in China

Research on data mining model of fault operation and maintenance based on electric vehicle charging behavior

In recent years, with the development of new energy technology and the country’s strong support for electric vehicles, there is a lack of effective electric vehicle charging fault analysis and diagnosis methods at this stage. A comprehensive analysis of the working principle of the charging process of electric vehicles, based on the clarification of the failure mechanism of the power battery and charging equipment, analyzes the fault-related factors affecting the power battery and charging equipment from multiple angles, and summarizes the relationship between the power battery and charging equipment. The feature parameters related to equipment failure are discretized by the k-means clustering algorithm. Using the optimized FP-Growth algorithm based on weights, the association rules between the power battery and charging equipment failures and the characteristic parameters of the failure factors are mined, and the correlation of the failures is analyzed based on the association rules, and the correlation between the failure factors and the failures is obtained relevant level

Lipid alternations in the plasma of COVID-19 patients with various clinical presentations.

BACKGROUND: COVID-19 is a highly infectious respiratory disease that can manifest in various clinical presentations. Although many studies have reported the lipidomic signature of COVID-19, the molecular changes in asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected individuals remain elusive. METHODS: This study combined a comprehensive lipidomic analysis of 220 plasma samples from 166 subjects: 62 healthy controls, 16 asymptomatic infections, and 88 COVID-19 patients. We quantified 732 lipids separately in this cohort. We performed a difference analysis, validated with machine learning models, and also performed GO and KEGG pathway enrichment analysis using differential lipids from different control groups. RESULTS: We found 175 differentially expressed lipids associated with SASR-CoV-2 infection, disease severity, and viral persistence in patients with COVID-19. PC (O-20:1/20:1), PC (O-20:1/20:0), and PC (O-18:0/18:1) better distinguished asymptomatic infected individuals from normal individuals. Furthermore, some patients tested positive for SARS-CoV-2 nucleic acid by RT-PCR but did not become negative for a longer period of time (≥60 days, designated here as long-term nucleic acid test positive, LTNP), whereas other patients became negative for viral nucleic acid in a shorter period of time (≤45 days, designated as short-term nucleic acid test positive, STNP). We have found that TG (14:1/14:1/18:2) and FFA (4:0) were differentially expressed in LTNP and STNP. CONCLUSION: In summary, the integration of lipid information can help us discover novel biomarkers to identify asymptomatic individuals and further deepen our understanding of the molecular pathogenesis of COVID-19