Background The pathogens responsible for chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS; NIH category III) are not currently known. the present study utilized high‐throughput next‐generation sequencing to screen for potential pathogens associated with NIH category III CP (CP III). Methods This study included 33 patients with CP III and 30 healthy men, from which one sample each of urethral secretions and expressed prostatic secretion (EPS) was collected. High‐throughput next‐generation sequencing was performed to detect the sequence variations and the relative abundance of the bacterial 16S ribosomal variable region and fungal internal transcribed spacer region in all samples. Bioinformatics software and databases were used for data analysis, and differences with P < .05 were considered statistically significant. Results Unweighted pair group method with arithmetic mean (UPGMA) cluster analysis, principal component analysis (PCA), and Spearman's rank correlation showed that the microbial compositions of the urethral secretions and EPS collected from the same subject were essentially the same. Conclusions No potential pathogens were identified in diagnosed patients with CP III. The EPS may be free from bacteria before and after infection. Changes in the urinary tract microbiome may disrupt the microecological balance of the urinary system, thereby leading to CP III. Conversely, the true pathogens of CP III may not be prokaryotic or eukaryotic microorganisms, Future research may involve the evaluation of noncellular microbes.
The goal of public security and safety under the concept of sustainable development has been transformed into the maximization of the comprehensive goal of economic, environmental, and social security and safety. The polycentric collaborative governance mode is a crucial approach for the reform of government regulation. Social–ecological resilience has become a typical paradigm in the field of risk governance. Polycentric collaborative governance and safety resilience are the foundation and booster of elevator safety governance. In this paper, we expound on the system elements and mechanisms of polycentric collaborative governance and ecological resilience of elevator safety under the guidance of sustainable development by using a conceptual framework method. On this basis, we explore the influence degree and mechanism of elevator safety polycentric collaborative governance on elevator safety ecological resilience under the guidance of sustainable development by constructing a structural equation model based on micro-survey data. The results show that (1) the polycentric collaborative governance subject composed of the government, business, society, and the public is the key force to enhancing the ecological resilience of elevator safety; (2) enhancing the ecological resilience of elevator safety has a significant direct promoting effect on improving the mitigation, recovery, learning, and coping ability of elevator safety; (3) improving the learning ability has a significant direct promoting effect on improving the mitigation, recovery, and coping ability of elevator safety; (4) improving the coping ability has a significant direct promoting effect on improving the mitigation and recovery ability of elevator safety; (5) improving the mitigation ability has a significant direct promoting effect on improving the recovery ability of elevator safety. Therefore, in the process of elevator safety governance under the guidance of sustainable development, we should not only adhere to the polycentric collaborative governance mode but also attach importance to the ecological resilience governance paradigm of elevator safety, which together can improve the elevator quality and safety level.
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