Construction of urban agricultural health informatics safety supervision (UAHISS) system based on medical imaging and deep learning (DL) is provided in this research. The designed UAHISS is based on computerized medical image information processing, and reduces the daily reporting and writing work as well as providing timely image information to the clinicians. In the designed UAHISS, following novelties are presented. (1) We develop the novel medical imaging processing model for the efficient recognition and classification of the big medical visual data. (2) We design the novel DL system for the health informatics application scenarios. (3) The comprehensive health informatics safety supervision system is development and validated through complex parallel data. (4) The urban agricultural information system with the human health safety prior is designed and the further suggestions are provided. Through the verification, the real-time performance of the proposed model is tested. It is reflected from the results, the proposed model can detect the health informatics safety supervision information accurately.
Green development is at the core of the One Belt And One Road initiative and is also a requirement for high-quality economic development. This paper takes 18 cities in Henan province as the research object, analyzes the restricting factors of the development of green logistics based on system science theory, and then evaluates the characteristics of the green logistics system with the Super-SBM and Malmquist index considering the non-expected output, and finally explores the driving factors affecting the green logistics system based on the spatio-temporal analysis results. The results show that the calculation results considering the non-expected output are more consistent with the actual situation. The absolute difference of green logistics fluctuates, while the relative difference fluctuates. The decomposition index fluctuates greatly in western henan and is relatively stable in eastern henan. The evolution characteristics of green logistics in henan province have gone through three stages of decline, fluctuation and recovery, with different development drivers in each stage, mainly driven by logistics demand, policy and market technology.
Under the “The Belt and Road Initiative”, small and micro enterprises have new opportunities and new challenges. At present, the biggest problem facing the development of small and micro enterprises is the financing problem, and it is imminent to solve the financing problem. Based on the actual situation of small and micro enterprises, this paper designs a credit risk evaluation index system for small and micro enterprises through literature analysis and questionnaire, makes an empirical analysis on the H e-commerce enterprises in Henan province. On this basis, the credit risk control strategy of small and micro enterprises is put forward at the end of the article.
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