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为遏制卒中高发态势，降低卒中急性期致死、致残率，河南省卫生健康委相继成立河南省脑卒中防治中心和河南省脑卒中质控中心，负责全省卒中中心建设工作，构建了省-市-县三级卒中防治及质控体系，积极推动地方政府持续投入，定期开展院长论坛和区域先进卒中中心参访交流，进行卒中防治适宜技术培训，有力推动了卒中中心服务能力建设。河南省卫生健康委将卒中中心建设列入医院等级评审的必备条件，通过实施卒中急救一键启动、加大卒中高危人群筛查和评估、广泛开展卒中早期识别和科普宣教、建立健全卒中中心管理制度等措施显著提高了卒中中心建设的质量和内涵，静脉溶栓、机械取栓、颈动脉内膜切除术等适宜技术得到快速发展。 Abstract: In order to curb the high incidence of stroke and reduce the rate of death and disability in the acute phase of stroke, the Health Commission of Henan Province has successively established the Henan Stroke Prevention and Treatment Center and the Henan Stroke Quality Control Center to take charge of the construction of stroke centers in Henan province. We have established stroke prevention and quality control system in the provincial, municipal, and county levels, and have actively promoted the continuous input from local governments. The hospital dean forum, regional advanced stroke center visits and exchanges, and appropriate techniques training on stroke prevention and treatment are regularly carried out, which effectively promotes the service capacity of stroke centers. The Health Commission of Henan Province has included the construction of stroke centers as a necessary condition for hospital level evaluation. Through measures such as implementing rapid stroke emergency response, increasing screening and evaluation of high-risk groups for stroke, widely conducting early stroke identification and education, and establishing the management system of stroke centers, the number and quality of stroke centers have been significantly improved. Appropriate techniques such as intravenous thrombolysis, mechanical thrombolysis and carotid endarterectomy have been developed rapidly in Henan province.

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Facing the current situation of load uncertainty, new energy grid integration, and “dual carbon” target in the power system, the paper established a real-time pricing model considering load uncertainty and carbon trading in the context of the smart grid with full consideration of the welfare of both supply side and user side. Based on the advantages that reinforcement learning can handle variable complexity, non-convex, and nonlinear problems, this paper used the Q-learning algorithm in reinforcement learning to solve the model iteratively. Firstly, this paper transformed the real-time interaction process between the user and the power supplier into a Markov decision process corresponding to the reinforcement learning framework. Secondly, the process represented the information interaction between the user and the power supplier as the iterative exploration of the agent in a dynamic environment. Finally, this paper found the optimal value by the Q-learning algorithm in reinforcement learning, i. e., the maximal social welfare value. The simulation results show that the proposed real-time pricing strategy can effectively enhance social welfare and reduce total carbon emissions, which verifies the feasibility and effectiveness of the proposed model and algorithm. [ABSTRACT FROM AUTHOR]

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Preoperative anxiety is a common psychological problem in patients during the whole operation period. It affects the physical and mental health as well as prognosis of the patients undergoing surgery. Professionals need a complete assessment and care provided to them individually to assist in effective relief. This paper firstly deals with one of the theoretical development strategies proposed by Meleis (2007): Research theory, whose development is based on research. The theory evolved from the study of replication and confirmation, and aimed to study the subject matter, to apply deductive and inductive reasoning, to synthesize the theory, that is, to construct the theory conception through empirical evidence. It helps in understanding the visibility and utilization of related concepts in the field of nursing, and wishes to verify the reliability and validity of this theory through empirical research in the future. [ABSTRACT FROM AUTHOR]

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