Counterproductive work behavior (CWB) is an employee’s spontaneous behavior that is potentially threatening to the interests of the organization itself or members of the organization. It is very common in organizations and is extremely harmful. The CWB of medical staff is extremely risky and can cause many adverse effects on the economy, society and patient health. Through reading and analyzing literature, the review discusses the concept, measurement, influencing factors and behavioral consequences of the medical staff CWB, and proposes coping strategies for improvement from the social, hospital, and individual levels. The aim is to provide a reference for reducing the CWB of medical staff and to improve medical quality and safety.
ObjectiveTo study the relationship between the expression of sialyl Lewisx (SLeX) antigen and CD44v6 products and biological behaviors in cholangiocarcinomas. MethodsThe expression of SLeX and CD44v6 in 43 cases of cholangiocarcinoma tissue was respectively investigated by catalyzed signal amplification immunohistochemical technique.The relationship between expression of SLeX and CD44v6 and the clinicopathological factors of cholangiocarcinoma was analyzed.ResultsThe positive expression rate of SLeX and CD44v6 in cholangiocarcinoma was 67.4% and 62.8% respectively,which was significantly higher than that in control group (20.0%,P＜0.05).The high level expression of SLeX and CD44v6 were correlated with the TNM phase, differentiation degree,metastasis to lymph nodes and viscera in cholangiocarcinoma (P＜0.05). Moreover,there was a positive correlation between the SLeX and CD44v6 expression in cholangiocarcinoma (r=0.49,P＜0.001).Conclusion Expression of SLeX and CD44v6 could be helpful in predicting the biological behavior and prognosis of cholangiocarcinoma.
Objective To study the biological behavior of osteoblast and vascular endothelial cell culture. Methods The osteoblasts and vascular endothelial cells were obtained from calvarial bone and renal cortox of 2-week rabbits respectively. The experiment were divided into group A (osteoblasts), group B (vascular endothelial cells) and group C(co-cultured osteoblasts and vascular endothelial cells). The cells were identified with cytoimmunochemical staining. The cellular biological behavior and compatibilitywere observed under inverted phase contrast microscope and with histological staining. The cells viability and alkaline phosphatase(ALP) activity were measured. Results The cytoimmunochemical staining showed that the cultured cells were osteoblasts and vascular endothelial cells .The cellular compatibility of osteoblasts and vascular endothelial cells was good. The ALP activity was higher in group C than in group A and group B(P＜0.01), and it was higher in group A than in group B(P＜0.05). In group C, the cellproliferation were increased slowly early, but fast later. Conclusion Thecellular compatibility of osteoblasts and vascular endothelial cells were good. The vascular endothelial cells can significantly increased the osteoblast viability and ALP activity,and the combined cultured cells have greater proliferation ability.
Aiming at the limitations of clinical diagnosis of Parkinson’s disease (PD) with rapid eye movement sleep behavior disorder (RBD), in order to improve the accuracy of diagnosis, an intelligent-aided diagnosis method based on few-channel electroencephalogram (EEG) and time-frequency deep network is proposed for PD with RBD. Firstly, in order to improve the speed of the operation and robustness of the algorithm, the 6-channel scalp EEG of each subject were segmented with the same time-window. Secondly, the model of time-frequency deep network was constructed and trained with time-window EEG data to obtain the segmentation-based classification result. Finally, the output of time-frequency deep network was postprocessed to obtain the subject-based diagnosis result. Polysomnography (PSG) of 60 patients, including 30 idiopathic PD and 30 PD with RBD, were collected by Nanjing Brain Hospital Affiliated to Nanjing Medical University and the doctor’s detection results of PSG were taken as the gold standard in our study. The accuracy of the segmentation-based classification was 0.902 4 in the validation set. The accuracy of the subject-based classification was 0.933 3 in the test set. Compared with the RBD screening questionnaire (RBDSQ), the novel approach has clinical application value.
Objectives To evaluate the effectiveness of cognitive behavioral therapy (CBT) treating insomnia in patients with breast cancer. Methods Such databases as CENTRAL (April 2011), The Cochrane Library (2005 to November 2011), MEDLINE (1948 to April 2011), EMbase (Junuary 1966 to April 2011), CINAHL (Cumulative Index to Nursing and Allied Health Literature, 1982 to April 2011), CBM (1978 to 2011) and CNKI (1979 to 2011) were searched to collect the randomized controlled trials (RCTs) about CBT treating insomnia in patients with breast cancer. Literature screening, data extraction and methodological quality assessment of the included studies were conducted according to the inclusion and exclusion criteria. Then RevMan 5.0 software was used for meta-analysis. Results A total of 5 RCTs were included. The results of meta-analysis showed that, compared with the control group, the CBT group was higher in the score of subjective sleep efficiency; however, it was lower in the subjective sleep onset latency. There were no significant differences between the two groups in the sleep efficiency, total sleep time, sleep onset latency and wake time after sleep onset measured by hypnocinematograph. Conclusion Cognitive behavioral therapy may improve the subjective sleep efficiency and sleep quality, and shorten the sleep onset latency in patients with breast cancer. However, its effect of improving objective sleep quality is still unverifiable at present. It suggests the following measures should be taken for providing better evidences: increasing sample size, adopting blind methods, confirming allocation concealment, and using unified hypnocinematograph.
Suture broken, knot slipping and tissue tearing are the main reasons of wound closure failure in clinical operation. Based on this, we simulated the suturing and healing operation by using a biological materials testing machine and investigated the tensile properties before and after knotting, relaxation property and friction property of three common sutures: silk, polyglactin 910 and polypropylene. Results show that the tensile property decreased after knotting. The tensile strength of polyglactin 910 and elongation of polypropylene were the largest. During the relaxation process, the sutures relaxed the most in the first 2 hours. The relaxation from less to more was: polyglactin 910, silk and polypropylene. Coating or monofilament could obviously reduce the surface roughness of sutures, and thus reduce the friction force of the suture-suture interface. The friction force of the suture-suture interface increased with the increasing load but did no change with the increasing velocity. The results can provide an important theoretical basis for the optimizations of suture design and knotting operation.
Macaque is a common animal model in drug safety assessment. Its behavior reflects its health condition before and after drug administration, which can effectively reveal the side effects of drugs. At present, researchers usually rely on artificial methods to observe the behavior of macaque, which cannot achieve uninterrupted 24-hour monitoring. Therefore, it is urgent to develop a system to realize 24-hour observation and recognition of macaque behavior. In order to solve this problem, this paper constructs a video dataset containing nine kinds of macaque behaviors (MBVD-9), and proposes a network called Transformer-augmented SlowFast for macaque behavior recognition (TAS-MBR) based on this dataset. Specifically, the TAS-MBR network converts the red, green and blue (RGB) color mode frame input by its fast branches into residual frames on the basis of SlowFast network and introduces the Transformer module after the convolution operation to obtain sports information more effectively. The results show that the average classification accuracy of TAS-MBR network for macaque behavior is 94.53%, which is significantly improved compared with the original SlowFast network, proving the effectiveness and superiority of the proposed method in macaque behavior recognition. This work provides a new idea for the continuous observation and recognition of the behavior of macaque, and lays the technical foundation for the calculation of monkey behaviors before and after medication in drug safety evaluation.
Objective To investigate the AIDS knowledge and sexual behavior of middle school students in the key areas of HIV/AIDS epidemic in Liangshan, Sichuan Province in 2015 and 2020, so as to understand the epidemic trend and acquire possible references for future prevention. Methods A survey on AIDS knowledge and sexual behavior of middle school students was conducted in 2015 and 2020 in the key areas of HIV/AIDS epidemic in Liangshan, Sichuan Province, respectively. The prevalences of HIV/AIDS knowledge and sexual behavior were analyzed. Results The rate of AIDS education was increasing, which was 75.4% in 2015 and 89.3% in 2020, respectively. However, the awareness rate of AIDS remained low, which was 44.4% in 2015 and 53.3% in 2020, respectively. The reported rate of sexual behavior decreased, which was 12.8% in 2015 and 1.6% in 2020, respectively. The condom usage rates were still low, with 47.4% and 55.8%, respectively in 2015 and 2020. Conclusions The AIDS publicity and education work in Liangshan is effective, and the awareness rate of AIDS, the rate of sexual behavior and the usage rate of condom are improving well. However, the slow increase in the awareness rate of AIDS and the usage rate of condom require further in-depth analysis aiming at the specification of this area so that effective scientific measures can be carried out to prevent the HIV/AIDS diffusion.
Objective To compare the effects of cognitive-behavior therapy (CBT) and domestic paroxetine in the treatment of minor depression. Methods A therapeutic technique model for the treatment of minor depression was established. Sixty-four patients with minor depression meeting DSM-IV criteria were divided into CBT and paroxetine groups with 32 patients respectively, and were treated for six weeks. The Hamilton Depression Scale (HAMD) was used to evaluate the clinical efficacy and relapse/recrudescence rate of the two groups. Side effects of paroxetine were also recorded. Results At the end of 2 weeks, no significant difference was noted in the reduction of the HAMD score between the two groups. At the end of 6 weeks, there was little difference in thHAMD score reduction between the two groups (F=8.3,P= 0). No significant difference was found in the curative effects between the two groups (u=316.5,P=0.06).In the paroxetine group, cure rate was 20.7%, significant improvement rate was 48.3%; In the CBT group, cure rate was 10.0%, significant improvement rate was 36.7%.The relapse/recrudescence rate after six in the paroxetine group was higher than in cognitive-behavior therapy group at 6 months’ follow-up (u=106.5,P=0.04).Conclusion The clinical efficacy of cognitive-behavior therapy for minor depression seems to be similar to that of paroxetine. The established model of CBT can be used in clinical practice.
Objective To investigate the general situation of self-management behavior of patients with cirrhosis, and analyze its influencing factors. Method From January to June 2015, the in-patients with liver cirrhosis were recruited from Gastroenterology Ward of a comprehensive hospital in Chengdu city by convenience sampling method, and a series of questionnaires were used in the research, including self-management behavior scale, social support scale (SSRS), quality of life questionnaire (WHOQOL-BREF) and sociodemographic characteristics. Results One hundred and sixty-eight patients were enrolled. The self-management behavior of patients with cirrhosis scored an average of 50.4±11.3, which was in the medium level. Self management behavior was positively and significantly correlated with social support (r=0.488, P<0.001) and the overall quality of life (r=0.554, P<0.001). Multiple linear regression indicated that the gender and course of the disease were two influencing factors. Moreover, female experienced better self-management behavior than men (t=27.090, P<0.001); and the longer the course of the disease was, the better the self-management behavior could be found (t=34.057, P<0.001). Conclusion We should strengthen the health education of self-management in patients with cirrhosis, and make full use of the patients’ social support system, so as to improve the patients’ self-management behavior as well as the treatment of diseases and their quality of life.