A novel method for integrating multi-omics data, including gene expression, copy number variation, DNA methylation, and miRNA data, is proposed to identify biomarkers of cancer prognosis. First, survival analysis was performed...
Although business and researchers acknowledge the importance of social media, little research has been conducted to explore what attracts people to follow brand Twitter accounts. This research attempts to achieve an analytical...
The education system in China has brought many benefits to Chinese education through decades of continuous reform and development. This is because many of China's education policies have shaped the Chinese education system as it...
In this paper, the development of the MAR (mobile augmented reality) remedial teaching program is described. It allowed students to manipulate augmented objects through AURASMA app via internet and find leads to solve geometry...
In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information...
Emotion is an important research topic in the field of sports. The physiological changes caused by emotion have a great influence on the completion of sports. It cannot only fully mobilize the organism and maximize the exercise...
Cross-border e-commerce(CBRC) is increasingly affecting the value of traditional trade due to its rich variety, convenient operation, and free of time and space restrictions, and has also changed the consumer's Shopping habits....
Leaders of organizations frequently a failure to employ the process of gaining trust tactics required for virtual project team adoption to be successful (VPTs). The goal of this qualitative single case study, which was based on...
In the multi-objective optimization algorithm, the parameter strategy has a huge impact on the performance of the algorithm, and it is difficult to set a set of parameters with excellent distribution and convergence performance...
The study aims to help enterprises to formulate a financial sustainable development strategy. A financial crisis forecast system based on deep learning (DL) is proposed to assist enterprises in checking their financial bills in...
Although business and researchers acknowledge the importance of social media, little research has been conducted to explore what attracts people to follow brand Twitter accounts. This research attempts to achieve an analytical...
Most of the existing influence maximization problem in social networks only focus on single relationship social networks, that is, there is only one relationship in social networks. However, in reality, there are often many...
The novel coronavirus is a new type of virus, and its transmission characteristics are different from the previous virus. Based on the SEIR transmission model, this paper redefines the latent state as close contacts state...
At present, the field of homeland security faces many obstacles while determining abnormal or suspicious entities within the huge set of data. Several approaches have been adopted from social network analysis and data mining;...
We describe the Milky Way Survey (MWS) that will be undertaken with the Dark Energy Spectroscopic Instrument (DESI) on the Mayall 4 m telescope at the Kitt Peak National Observatory. Over the next 5 yr DESI MWS will observe...
Information and communication technologies (ICT) have played a pivotal role in facilitating knowledge acquisition and enabling distance education. Yet, knowledge about digital divide in distance education remains limited. This...
China actively broadens its channels for environmental protection and limits pollutant emissions through industrial structure adjustment and technical progress. Based on panel data of 30 provinces in China from 2003 to 2017...
This paper matches the large-scale survey data and the corresponding historical weather data to explore how air pollution impacts on low-carbon travel choices. The K-means algorithm is employed to cluster the personal...
The authors examine the information-driven trades and informed traders' order size strategies in China's stock market. They find the aggregate U-shaped informed trading is not only explained by the time-of-day effect but is also...
To solve some problems of particle swarm optimization, such as the premature convergence and falling into a sub-optimal solution easily, we introduce the probability initialization strategy and genetic operator into the...
Prediction of stock price movement is regarded as a challenging task of financial time series prediction. Due to the complexity and massive financial market data, the research of deep learning approaches for predicting the...
Firms in emerging economies face greater resource constraints and higher levels of firm informality than those in developed economies. Particularly, large state-owned firms struggle for survival when encountering intense...
A lot of studies have shown that there is an “inverse U-curve” relationship between learners' grades and cognitive load. Learners' grades are closely related to their learning behavior characteristics on online learning. Is...
At the end of 2019, the sudden attack of the COVID-19 brought huge challenges to the management, operation and development of listed companies. In view of the suddenness of the epidemic, the internal governance of listed...