Construction and application of computerized risk assessment model for supply chain finance under technology empowerment.

This study seeks to assist small and medium enterprises break free of the constraints of the conventional financing model and lessen the supply chain finance risks they face. First, the supply chain financial business model and credit risk are analyzed, followed by a discussion of the application principle of blockchain in the control of supply chain financial credit risk. The next topic up for discussion is the emancipation of individuals and the application of financial technology toward the management of financial risk in supply chains. In the final stage of the development of the computerized risk assessment model, the Fuzzy Support Vector Machine (FSVM) is optimized, and the effectiveness and efficiency of risk classification are enhanced by introducing a variable penalty factor C. To test the efficacy of the C-FSVM risk assessment model, the Chinese auto sector is used as the study's object. According to the results of the study, the C-FSVM model has a classification accuracy of 96.35% for the entire sample, 96.45% for credible firms, and 95.34% for default enterprises. The training time of the C-FSVM model is 473.9s, which is far lower than the SVM and FSVM models' training times of 1631.6s and 1870.2s. In summary, the C-FSVM supply chain financial risk assessment model is effective and has great application value in banking practice.

The prevalence, characteristics, expenditure and predictors of complementary medicine use in Australians living with gastrointestinal disorders: A cross-sectional study.

AIMS: To determine the prevalence, characteristics, expenditure and predictors of complementary medicine (CM) use in Australian adults living with gastrointestinal disorders (GID). METHODS: A cross-sectional study involving 2,025 Australian adults was conducted. Participants were recruited through purposive convenience sampling. Descriptive statistics were conducted to report the prevalence of people living with GIDs and their CM use, including CM products, mind-body practices and CM practitioner services. Chi-square test and independent-samples t-test were used to determine the associations between sociodemographic or health-related variables with CM use. Binary logistic regression was conducted to determine the significant predictors of CM use in GID participants. Economic data was calculated based on the mean out-of-pocket expenditure on CM. RESULTS: Of the 293 participants reporting a GID, 186 (63.5%) used CM products, 55 (18.8%) used a mind-body practice and 141 (48.1%) visited at least one CM practitioner in the last 12 months. Collectively, the majority of GID participants using any type of CM were female, aged 40-49 years, married and employed. The mean score for health-related quality of life was 49.6 out of 100 in GID participants and 68.2 in participants without a GID (p < 0.001). Average annual out-of-pocket expenditure on CM products was AUD127.29 by CM products users with a GID. The predictors of CM products, mind-body practices and CM practitioner services use differed. Of the 111 CM product users with a GID, 103 (92.8%) disclosed all or some of their CM use to general practitioner, 89 (80.2%) to specialist doctor, 79 (71.2%) to pharmacist and 69 (62.1%) to hospital doctor. CONCLUSIONS: A substantial proportion of Australian adults living with GID use CM products, mind-body practices and CM practitioner services. This study provides important insights to inform and guide the development of a more coordinated health care services for individuals living with GID.