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Sentiment analysis is one of the key tasks of natural language understanding. Most of sentiment analysis researches revolve around sentiment classification of subjective texts. However, research in the field of sentiment evolution analysis for complex interactive texts are notable. Sentiment evolution models the dynamics of sentiment orientation over time, it can predict the stage of event development. In this paper, we propose a sentiment evolution method based on a joint model to analyze the dynamics and interactions of individual sentiment on social media such as Weibo. The model contains two modules, sentiment encoder module based on pre-training model and time series prediction module based on Long Short-Term Memory(LSTM). We conducted experiments on real-world datasets which were crawled from Weibo. The experiment demonstrated a case study that analyzed the sentiment dynamics of topics related to COVID-19. Experimental results show that our method achieve an accuracy of 88.0%, which are about 14.7% higher than the existing methods.

Objective: To explore the implementation effect of nursing management in operating room for hospital infection control. Methods: 100 cases of patients who received surgical treatment in our hospital from 2019 to 2020 were selected and divided into observation group and control group according to different nursing management methods in operating room. Patients in the control group received routine nursing management services, while patients in the observation group received systematic and high-quality comprehensive management services based on routine nursing management services. Results: The air colony count and hand colony count of the observation group were significantly better than those of the control group. At the same time, the incidence probability of infection in the observation group was also significantly lower than that of the control group, with significant difference between the groups, with statistical value (P < 0.05). Conclusions: In view of the occurrence of nosocomial infection, the implementation of high-quality operating room nursing service can effectively control it, reduce the probability of occurrence, and ensure the safety of patient treatment, which is worthy of clinical application.

Objective: To analyze the effect of continuous nursing on the quality of life of patients with diabetes. Methods: From August 2019 to August 2020, 76 patients with diabetes were selected and randomly divided into group A and group B. group a received continuous nursing and group B received routine nursing. Results: The compliance of health education in group A was better than that in group B (P < 0.05);The score of quality of life in group A was better than that in group B (P < 0.05);The scores of anxiety and depression in group A were better than those in group B (P < 0.05);The nursing satisfaction of group A was 97.37%, which was better than that of group B 76.32%, P < 0.05.Conclusions: Continuous nursing for patients with diabetes can improve the quality of life, relieve anxiety, depression and other negative emotions, and improve nursing satisfaction.

Protocol Oblivious Forwarding (POF) aims at providing a standard southbound interface for sustainable Software Defined Networking (SDN) evolvement. It overcomes the limitations of popular OpenFlow protocols (an existing widely-adopted southbound interface), through the enhancement of SDN forwarding plane. This paper pioneers the design and implementation of a Kernel-space POF Virtual Switch (K_POFVS) on Linux platform. K_POFVS can improve the packet processing speed, through fast packet forwarding and the capability of adding/deleting/modifying protocol fields in kernel space. In addition, it is able to enhance flow table matching speed, by separating the mask table (consisting of flow entry masks used to figure out the matching field) and the flow table under a caching mechanism. Furthermore, K_POFVS can achieve efficient communication between the kernel space and the user space, via extending the netlink communication between them. Experimental results show that K_POFVS can provide much better performance than existing user-space POF virtual switches, in terms of packet forwarding delay, packet processing delay and packet transmission rate.

With the current process of rapid urbanization in Shenzhen, the shortage of construction land emerges. Many problems need to resolve quickly, especially the low utilization ratio and non-standard phenomenon. Urban renewal unit which was carried out in Shenzhen in 2009 hadn’t played an important role. With the analysis and comparison of the common development mode of urban renewal unit, combined with the characteristics of Shenzhen, this paper focuses on researching and improving the suitable development mode of urban renewal unit of Shenzhen. I hope this paper can lay the foundation for urban renewal unit system in Shenzhen and urban renewal work in other areas.