UNASSIGNED: To analyze the effectiveness of the \"Xinjiang Model\" for tuberculosis prevention and control in Kashgar Prefecture, Xinjiang, and to explore the determinants of the policy implementation effect.
UNASSIGNED: The registration data of pulmonary tuberculosis (PTB) patients in Kashgar Prefecture from 2012 to 2021 were collected to describe the temporal trend of registered incidence. A questionnaire survey was conducted among PTB patients registered and treated in the tuberculosis management information system in Zepu and Shache Counties from January 2022 to July 2023 to collect and analyze \"Xinjiang model\" determinants of effectiveness.
UNASSIGNED: The PTB registered incidence in Kashgar Prefecture showed a significant increasing trend from 2012 to 2018 (APC=18.7%) and a significant decreasing trend from 2018-2021 (APC=-28.8%). Among the Kashgar Prefecture, compared with average registered incidence in 2012-2017, registered incidence in 2021 in Shufu, Maigaiti, and Zepu Counties had a greater decline rate of 58.68%, 57.16%, and 54.02%, respectively, while the registered incidence in 2021 in Shache County increased by 6.32%. According to the comprehensive analysis of the factors affecting the effect of policy implementation, the proportion of PTB patients in Zepu County whose health status has now significantly improved compared with that before treatment was significantly greater than that in Shache County (P<0.05); patients in Shache County were significantly less aware than those in Zepu County of how to take tuberculosis drugs, precautions, adverse reactions, and regular reviews during treatment; the factors that accounted for the greater proportion of heavy treatment burden in both Shache and Zepu Counties were discomfort caused by taking or injecting drugs, accounting for 12.8% and 8.7%, respectively.
UNASSIGNED: The \"Xinjiang model\" can effectively control the epidemic situation of tuberculosis in Kashgar, and the knowledge of tuberculosis treatment, adverse reactions to tuberculosis drugs, and treatment costs were the determinants of the effectiveness of policy implementation.

Given that technology transfer provides an important boost for promoting national economic development, technology transfer policy (TTP) has attracted more and more attention from academia and industry. The government issued many policies. However, the implementation effect of TTP still needs to be clarified. This study is carried out from the progressive level of \"text content-influence path-implementation effect.\'\' It aims to adopt a systematic analysis method to analyze policy tools and policy implementation stages, then builds a conceptual framework of the influence path of TTP. Then the relationship between variables in the qualitative model was clarified, and the system dynamics (SD) model was used to build a quantitative model with four feedback loops. Finally, taking Liaoning, China as an example, the system simulation and sensitivity analysis of the main parameters are implemented in Vensim PLE. Different policy tools have different roles in the TTP impact stages of research, transfer, and industrialization. Based on the data of 2013-1019, the SD model constructed in this paper can be used to predict the implementation effect of TTP during 2020-2015. Simulation and sensitivity analysis results provide practical enlightenment for government departments to improve the implementation effect of the existing TTP. This study also provides other researchers with a systematic understanding for improving the implementation effect of TTP with a \"text content-influence path-implementation effect\" conduction chain and provides new insights for further research on TTP.