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BACKGROUND: This study aims to investigate the effects of education with health belief model (HBM) on anxiety and fatigue among patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). METHODS: Patients with AECOPD admitted into Taizhou People’s Hospital, Jiangsu, China between December 2012 and October 2013 were randomly selected for the present study according to random number table. A total of 99 cases with anxiety were included. These patients were divided into two groups: experimental group educated by HBM (n=47), and control group educated by conventional method (n=52). The scores for anxiety and fatigue were evaluated using the self-rating anxiety scale (SAS) and multidimensional fatigue inventory (MFI-20). RESULTS: After educational intervention by HBM, patients achieved a significant decrease in anxiety and fatigue scores, when compared to patients in the control group, who were educated by the conventional method at the time of admission, discharge, and 6 weeks after discharge (P

BACKGROUND Perioperative shivering is clinically common during cesarean sections under neuraxial anesthesia, and several neuraxial adjuvants are reported to have preventive effects on it. However, the results of current studies are controversial and the effects of these neuraxial adjuvants remain unclear. AIM To evaluate the effects of neuraxial adjuvants on perioperative shivering during cesarean sections, thus providing an optimal choice for clinical application. METHODS A systematic review and network meta-analysis were conducted following the PRISMA (Preferred Reported Items for Systematic Review and Meta-analysis) guidelines. Analyses were performed using Review Manager 5.3 and Stata 14.0. We searched PubMed, EMBASE, Web of Science, and Cochrane Central databases for eligible clinical trials assessing the effects of neuraxial adjuvants on perioperative shivering and other adverse events during cesarean sections. Perioperative shivering was defined as the primary endpoint, and nausea, vomiting, pruritus, hypotension, and bradycardia were the secondary outcomes. RESULTS Twenty-six studies using 9 neuraxial adjuvants for obstetric anesthesia during caesarean sections were included. The results showed that, compared with placebo, pethidine, fentanyl, dexmedetomidine, and sufentanil significantly reduced the incidence of perioperative shivering. Among the four neuraxial adjuvants, pethidine was the most effective one for shivering prevention (OR = 0.15, 95%CI: 0.07-0.35, surface under the cumulative ranking curve 83.9), but with a high incidence of nausea (OR = 3.15, 95%CI: 1.04-9.57) and vomiting (OR = 3.71, 95%CI: 1.81-7.58). The efficacy of fentanyl for shivering prevention was slightly inferior to pethidine (OR = 0.20, 95%CI: 0.09-0.43), however, it significantly decreased the incidence of nausea (OR = 0.34, 95%CI: 0.15-0.79) and vomiting (OR = 0.25, 95%CI: 0.11-0.56). In addition, compared with sufentanil, fentanyl showed no impact on haemodynamic stability and the incidence of pruritus. CONCLUSION Pethidine, fentanyl, dexmedetomidine, and sufentanil appear to be effective for preventing perioperative shivering in puerperae undergoing cesarean sections. Considering the risk-benefit profiles of the included neuraxial adjuvants, fentanyl is probably the optimal choice.

Many types of CNC lathes fault generally can be divided into five categories: CNC device fault; servo system fault; tool holder system fault; spindle system fault and other parts fault. Common fault as long as the correct analysis and judgment is not difficult to troubleshoot.

This paper introduces the server design of a personal cloud sync storage system based on Android mobile terminal, including system architecture, workflow and module design. According to the application characteristics of personal cloud, this thesis selects Servlet as the core development technology of server-side system, describes the development process of the personal cloud server based on Tomcat container and establishes a secure connection between the mobile terminal and the personal cloud server center. Under the LAN environment, the server system has successfully completed the function module of the test and assembly verification test. Test results show that the whole system runs in good condition and has certain applicative value.

Objective:This study aims to develop an assistive technology-180° rotating feeding spoon that could improve the ability of eating of self-care patients with upper extremity dyskinesia.Methods:The Brunnstrom 6-stage rating of hemiplegia was adopted. During the different recovery stages of the

Objective. Achieving effective supervision of medical insurance and adopting measures for appropriate payment of basic medical insurance under the family physician system, through the analysis of two groups of urban workers in the Community Health Center. Methods. A statistical analysis was made on the settlement data of basic medical insurance for outpatients consisting of urban workers in the Community Health Center, using SPSS and Excel. Result. The administrative departments of Medicare should strengthen the supervision of specific groups, and carry out application of the hybrid medical insurance payment methods, which can effectively improve the use of medical insurance funds, and make the family doctor service more targeted. Conclusion. Strengthening the supervision of the specific groups can effectively improve the efficiency of the supervision of medical insurance, and different medical insurance payment methods for two groups of outpatients under the family doctor system of the Community ...

For the realtime updating and strong randomness of the information, large RFID-based warehousing picking path optimization job requires to make decision continuously. It is different from the traditional picking path Problem. This paper proposed an Improved Ant Colony algorithm in order to solve the optimization of the large storage picking path based on RFID. Distributed Strategy, Dynamic Response Strategy and Time Waiting Strategy are adopted to improve the candidate set, meanwhile, adjust operator and parameter selection. Experimental results show that the convergence speed of this algorithm with high precision, a better solution to the optimization of picking operation based on RFID.

The motion-blurred image restoration has been the difficulty of the field of image processing. In this paper, proposed a motion-blurred length method based on Fourier transform of the parameter estimation method. The method improved the accuracy of the blurred length estimation. The method improved the effect of the motion-blurred image restoration. The experiments verified that the accuracy and feasibility of the method proposed.

In order to improve the positioning accuracy and reduce the localization cost, a kind of PSO-based RFID indoor localization algorithm is proposed in this paper. The main idea of this algorithm contains the following two aspects. First, due to the influence of none line of sight and multipath transmission in indoor environment, we adopt Gaussian Smoothing Filter to process Received Signal Strength Indicator (RSSI) values, which can reduce the impact of environmental factors on the position estimation effectively. Second, Particle of Swarm Optimization (PSO) algorithm is introduced to obtain a better positioning result. By experimenting in different indoor environment, the results demonstrate that the proposed approach can not only improve the precision of indoor localization, but has a lower cost and better robustness when compared to VIRE approach.

Along with the development of the interferometric gravitational wave detector, we enter into an epoch of the gravitational wave astronomy, which will open a brand new window for astrophysics to observe our universe. However, the gravitational wave detection is a typical weak signal detection, and this weak signal is buried in a strong instrument noise. To our knowledge, almost all of the data analysis methods in gravitational wave detection at present are based on a matched filtering. So it is desirable to take advantage of stochastic resonance methods. However, the all of the stochastic resonance methods are general based on a Fourier transformation and fall short of the matched filtering as a usable technique. In this paper we relate the stochastic resonance to the matched filtering. Our results show that the stochastic resonance can indeed be combined with the matched filtering for both the periodic and the non-periodic input signal. This encouraging result will be the first step to apply the stochastic resonance to the matched filtering in gravitational wave detection. Moreover, based on the matched filtering, we firstly propose a novel measurement method for the stochastic resonance which is valid for both the periodic and the non-periodic driven signal.