Effect Observation of Process Diabetes Group Nursing on Patients with Diabetes Mellitus

Objective:Discuss the clinical effect of the process diabetes nurse group in the treatment of diabetes patients.Methods:A total of 58 patients with diabetes who received treatment in our hospital from January 2021 to June 2021 were selected,and the 58 patients were divided into two groups by random number table.In one group,29 patients were treated with process diabetes group nursing,which was recorded as the observation group;in the other group,29 patients were treated with conventional care,which was recorded as the control group.Nursing satisfaction,compliance behavior of patients,and adverse incidence were analyzed.Results:After nursing,the data of the two groups were summarized.The score of compliance behavior in the observation group was 91.23±4.56,which was significantly better than that in the control group(75.13土5.23).The t values of the score of compliance behavior were 12.4952,P<0.05.The qualified rate of fasting blood glucose in the observation group was 100%,which was significantly higher than that in the control group(62.07%),P<0.05.According to the questionnaire analysis,there were 18 patients in the observation group who were very satisfied,8 patients who were satisfied and 3 patients who were not satisfied,with a total satisfaction rate of 89.66%,and in the control group,there were 4 patients who were very satisfied,15 patients who were satisfied and 10 patients who were not satisfied,with a total satisfaction rate of 65.52%.The control group was significantly inferior to the observation group,and P<0.05 was regarded as statistically significant.Conclusion:Adopting the process of diabetes group nursing can effectively enhance the compliance behavior of patients,and effectively control the blood sugar index of patients,and improve the satisfaction degree of patients.

Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector

In this article, we propose two control charts namely, the “Multivariate Group Runs’ (MV-GR-M)” and the “Multivariate Modified Group Runs’ (MV-MGR-M)” control charts, based on the multivariate normal processes, for monitoring the process mean vector. Methods to obtain the design parameters and operations of these control charts are discussed. Performances of the proposed charts are compared with some existing control charts. It is verified that, the proposed charts give a significant reduction in the out-of-control “Average Time to Signal” (ATS) in the zero state, as well in the steady state compared to the Hotelling’s T2 and the synthetic T2 control charts.

Efficient Processing of Skyline Group Queries over a Data Stream

In this paper, we study the skyline group problem over a data stream. An object can dominate another object if it is not worse than the other object on all attributes and is better than the other object on at least one attribute. If an object cannot be dominated by any other object, it is a skyline object. The skyline group problem involves finding k-item groups that cannot be dominated by any other k-item group. Existing algorithms designed to find skyline groups can only process static data. However, data changes as a stream with time in many applications,and algorithms should be designed to support skyline group queries on dynamic data. In this paper, we propose new algorithms to find skyline groups over a data stream. We use data structures, namely a hash table, dominance graph, and matrix, to store dominance information and update results incrementally. We conduct experiments on synthetic datasets to evaluate the performance of the proposed algorithms. The experimental results show that our algorithms can efficiently find skyline groups over a data stream.

Baise Mining Group's Annual 1-million-ton Deep Aluminum Processing Project Commenced

The Baise Municipal Government held a commencement ceremony for Baise Mining Group’s1-million-ton deep aluminum processing project('Project')at its base in the Poverty Alleviation Industrial Park in Pingguo County.It’s learnt that the Project includes an annual450,000-ton medium and thick plates and plate belts for transportation project,an annual 160。