Different types of anions mediated the formation of rice glutelin fibrils: Aggregation behaviors and structural characteristics.

Anions have more pronounced effect on the aggregation power of proteins than cations. Herein, the effect of different types of anions on rice glutelin (RG) based fibrils formation was investigated. The fibrils yield and growth rate of RG were enhanced with various anions, due to the specific ions effect and intermolecular interaction.

Explaining child maltreatment and aggression among Chinese drug user: The mediating and moderating roles of drug craving and impulsivity.

Background: The cycle of violence highlights a strong correlation between child maltreatment and aggression. However, there remains a significant gap in the pathway models of the cycle of violence. Given the exceptionally high rates of child maltreatment and violent crime among Chinese drug users, it is essential to examine the mechanisms of the cycle of violence within this group.

'Can we predict aggression?'-Determining the predictors of aggression among individuals with substance use disorder in China undergoing enforced detoxification through machine learning.

Background: The general aggression model has shown that both individual and situational factors can predict aggression. However, past research has tended to discuss these two factors separately, which might lead to inconsistency. This study addresses this gap by examining the importance of each predictor of aggression in a Chinese compulsory drug treatment population and further explores the predictors of aggression in various substance use disorder populations.

Tracking Study on the Relapse and Aftercare Effect of Drug Patients Released From a Compulsory Isolated Detoxification Center.

Background And Aims: There are no accurate statistical data on the relapse rate of drug abstainers after compulsory detoxification in China. This study aimed to collect relapse data for drug abstainers through follow-up visits, verify the effectiveness of professional social worker services and explore significant factors affecting relapse.

Design And Setting: The drug abstainers released from Guangzhou T Compulsory Isolated Detoxification Center were randomly divided into two groups.

Loan default prediction of Chinese P2P market: a machine learning methodology.

Repayment failures of borrowers have greatly affected the sustainable development of the peer-to-peer (P2P) lending industry. The latest literature reveals that existing risk evaluation systems may ignore important signals and risk factors affecting P2P repayment. In our study, we applied four machine learning methods (random forest (RF), extreme gradient boosting tree (XGBT), gradient boosting model (GBM), and neural network (NN)) to predict important factors affecting repayment by utilizing data from Renrendai.

Factors Affecting the Public Acceptance of Extramarital Sex in China.

There is a lack of quantitative studies on the acceptance of extramarital sex in China. Based on data from the Chinese General Social Survey 2013 (CGSS2013), this paper used a zero-inflated Poisson regression model to analyze the factors influencing the public's attitudes toward extramarital sex. When other variables were controlled, groups of younger ages, higher educational levels, and stronger tendencies toward "liberalization" and non-Islamic beliefs were more tolerant toward extramarital sex, whereas gender and Christian beliefs had no significant influence.

lncRNA-CIR regulates cell apoptosis of chondrocytes in osteoarthritis.

Background And Objectives: Osteoarthritis (OA) is a complex chronic degenerative joint disease involving oxidative stress, inflammation, and apoptosis of chondrocytes. As decoys of micro RNAs, long non-coding RNAs (lncRNAs) play important roles in various biological processes. This study was designed to investigate the interactions between lncRNA-CIR, chondrocyte apoptosis, and the molecular mechanisms underlying OA.