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Objective We aimed to investigate the feasibility and method of constructing a traditional Chinese medicine (TCM) curative effect prediction model based on the data of Kechuanting acupoint plastering therapy in the treatment of bronchial asthma (asthma). Methods Data from the Chronic Disease Management Research Platform of 303 patients with asthma who were treated with Kechuanting acupoint plastering therapy for 6 weeks in the Department of Acupuncture and Rehabilitation of Jiangsu Hospital of Traditional Chinese Medicine from June to August 2018 to 2021 were selected. We used Phyton 3.10 for statistical analysis. After data preprocessing, the influencing factors were used to build models by Logistic regression, support vector machine, K-means clustering algorithm, Bayes algorithm, random forest method and Light gradient boosting machine (LightGBM) respectively, with the improvement of asthma control test score (ACT), forced expiratory volume in one second (FEV1) and exhaled nitric oxide (FeNO) as the outcome indicators. Then, the models were compared and analyzed. Subsequently, the superior model was used to establish the efficacy prediction model and verify its stability to obtain the accuracy rate and eliminate the relatively important factors. Results The accuracy rate of the Kechuanting acupoint plastering therapy curative effect prediction model established by the LightGBM model was more than 70%. Five important factors were selected, including allergic history, tabacco and alcohol abuse, plastering duration, ACT before treatment, and FeNO before treatment. According to the classification analysis and the relationship between the important factors and the outcome indicators, Kechuanting acupoint plastering therapy significantly improved the ACT of patients with no history of allergy, no tabacco and alcohol abuse, and poor ACT:5-15 points (P < 0.05). Furthermore, Kechuanting acupoint plastering therapy improved FeNO more significantly in patients with more than 3 years of treatment than those with no more than 3 years (P < 0.05). However, Kechuanting acupoint plastering therapy only improved FeNO in a few patients with poor asthma control levels (P < 0.05) and severe airway inflammation (FeNO>50x10-9) (P>0.05). Conclusion Acupoint plastering application has a significant effect on improving the control level of asthma, but its effect on improving airway inflammation is limited. It is feasible to use data from the chronic disease management research platform to construct the prediction model. After optimization and testing, the predictive model established based on the data of this study may provide an effective evaluation tool for targeted clinical treatment. [ABSTRACT FROM AUTHOR]

Packaging has become an important concern of fresh food supply chains and will exert a growing influence under environmental policies. In this paper, we have discussed three specific issues to investigate fresh food supply chains' packaging strategy, that is, whether to use disposable packaging containers (DPCs) or reusable packaging containers (RPCs), whether to purchase or rent RPCs, and the influences of environmental policies. Our research has generated some key findings. First, we find that penalty (such as taxes) and reward (such as subsidies) are simultaneously needed to motivate supply chains to choose RPCs. In terms of the "purchasing or renting" choice, it highly depends on the relative magnitude of the purchase and rental subsidies, along with the number of uses of RPCs and the perishability of fresh food. We also conclude that reusing RPCs for more times has two‐sided effects, that is, the effect of cost saving and the effect of accelerated deterioration. Thus, it is not recommended to excessively reuse RPCs. In addition, we make two extensions. First, we consider endogenous tax rate and subsidy rates and discuss from the perspective of social welfare. Second, we consider endogenous sales price and rental price of RPCs and study the optimal decisions of the RPC operator. Results show that the government should establish a classified tax and subsidy system for packaging containers, and meanwhile benchmarking prices for RPC services should be set to curb the RPC operator's free‐riding behavior. [ABSTRACT FROM AUTHOR]

Purpose: Information asymmetry and poor solvency caused by uncertainties in supply chains are the root causes of supply chain financing risks (SCFR). The purpose of this paper is to explore the effect of supply chain integration on reducing SCFR by incorporating the mechanisms of information sharing and controlling supply chain risks (SCR). Design/methodology/approach: This paper proposes hypothesis to discuss the impact of integration on SCFR and the mediating roles of alleviating information asymmetry and mitigating SCR, aiming at discovering factors and mechanisms to reduce SCFR. The research model was validated by applying structural equation modeling on survey data from 321 Chinese small and medium-sized enterprises (SMEs). Findings: Integration significantly reduces SCFR by dual approaches of information sharing and mitigating SCR, confirming that alleviating information asymmetry to reach information transparency and controlling SCR to reduce uncertainties facilitate less SCFR. Research limitations/implications: SMEs should enhance integration capability to reduce SCFR as it greatly influences the evaluation of financial service providers on SMEs and the sustainable financing capacity of SMEs. Additionally, any other methods that can improve information sharing and reduce SCR should be attached if possible. Originality/value: This study represents a pioneering attempt to analyze the impact of integration on reducing SCFR by exploring the specific mechanisms of alleviating information asymmetry and mitigating SCR. Meanwhile, few prior empirical studies have highlighted the importance of SCFR. [ABSTRACT FROM AUTHOR]