We investigated the value of credit borrowers’ social media posts, such as microblog posts, in the prediction of their credit risk. We used a mixed methodology to enhance credit assessment models with theory-driven features. On the basis of general strain theory, we proposed a set of...

Emerging phenomena of ubiquitous multi-source data provide promising avenues for making breakthroughs in financial risk prediction. While most existing methods for financial risk prediction are based on a single information source, which may not adequately capture various complex factors that...

In view of the treatment and disposal of waste medicines related to the implementation of China's population policy to promote fertility, this study applies these waste medicines in crude oil, hoping to realize the resource utilization of waste. In this study, waste progesterone medicines were...