Mcneillgertsen1398

This study was conducted for the aim of assessing the effect of nursing care applied to patients with chronic obstructive pulmonary disease on their sexual experiences and quality of life. The sample of the study was determined via power analysis, patients were assigned groups using a simple random sampling method. The data were collected between December 2019-June 2020. The researcher applied the nursing care to patients in the experimental group in their home three times. There was a statistically significant difference between posttest mean scores of the Short Form-36 Health-Related Quality of Life Questionnaire subscales and Arizona Sexual Experiences Scale of the patients in the experimental and control groups (p  less then  0.05). In this study, it was determined that there was an increase in the Health-Related Quality of Life Questionnaire mean score of patients with COPD after the nursing care; whereas, there was a slight decrease in the Arizona Sexual Experiences Scale mean score.Investigation of the topic of information literacy and its changes can be informative for researchers and provide a better understanding of the corresponding domains. This study conducted a topic model dynamic analysis of the articles on information literacy studies in the Web of Science core collection database that were published from 2005 to 2019. The global topics and their popularities, topical similarities and correlations, along with the evolution of temporal local topics and the diffusion of subject local topics were analyzed and presented. Nine global topics differed in terms of their temporal and subject characteristics, and this study focused on ability, technology, field, people, place and application of information literacy. For the temporal local topics, crossing was the main evolutionary mechanism; hence, the core topic words were relatively stable, but few new research directions have been explored in recent years. For the subject local topics, absorbing with division and absorbing were the main mechanisms, which supported the diffusion progress of information literacy studies among subjects. However, it is necessary to promote the development of future research through the innovative development of multidisciplinary integration. Researchers and practitioners should focus on the impact of information technology, increase the breadth and depth of the research field, and develop innovative evaluation methods that are based on data to promote the comprehensive, sustainable and effective improvement in information literacy.Nowadays, vaccination is the most effective way to control the epidemic spreading. In this paper, an epidemic SEIRV (susceptible-exposed-infected-removed -vaccinated) model and an evolutionary game model are established to analyze the difference between mandatory vaccination method and voluntary vaccination method on heterogeneous networks. Firstly, we divide the population into four categories, including susceptible individuals, exposed individuals, infected individuals and removed individuals. Based on the mean field approximation theory, differential equations are developed to characterize the changes of the proportions of the four groups over time under mandatory vaccination. click here Then through the analysis of the differential equations, the disease-free equilibrium point (DFE) and the endemic disease equilibrium point (EDE) are obtained. Also, the basic reproduction number is obtained by the next-generation matrix method and the stability analysis of the equilibrium points is performed. Next, by considering factors such as vaccination cost, treatment cost and government subsidy rate, differential equations are established to represent the change of vaccination rate over time. By analyzing the final vaccination coverage rate, we can get the minimum vaccination cost to make infectious disease disappear. Finally, the Monte Carlo method is used for numerical simulation to verify the results obtained from the theoretical analysis. Using the SARS-Cov-2 pandemic data from Wuhan, China, the experimental results show that when the effectiveness rate of vaccination is 0.75, the vaccination cost is not higher than 0.886 so that the vaccination strategy can be spread among the population. If mandatory vaccination is adopted, the minimum vaccination rate is 0.146.The ongoing pandemic situation due to COVID-19 originated from the Wuhan city, China affects the world in an unprecedented scale. Unavailability of totally effective vaccination and proper treatment regimen forces to employ a non-pharmaceutical way of disease mitigation. The world is in desperate demand of useful control intervention to combat the deadly virus. This manuscript introduces a new mathematical model that addresses two different diagnosis efforts and isolation of confirmed cases. The basic reproductive number, R 0 , is inspected, and the model's dynamical characteristics are also studied. We found that with the condition R 0 less then 1 , the disease can be eliminated from the system. Further, we fit our proposed model system with cumulative confirmed cases of six Indian states, namely, Maharashtra, Tamil Nadu, Andhra Pradesh, Karnataka, Delhi and West Bengal. Sensitivity analysis carried out to scale the impact of different parameters in determining the size of the epidemic threshold of R 0 . It reveals that unidentified symptomatic cases result in an underestimation of R 0 whereas, diagnosis based on new contact made by confirmed cases can gradually reduce the size of R 0 and hence helps to mitigate the ongoing disease. An optimal control problem is framed using a control variable u ( t ) , projecting the effectiveness of diagnosis based on traced contacts made by a confirmed COVID patient. It is noticed that optimal contact tracing effort reduces R 0 effectively over time.We assess the expected long-run consequences of the unfolding COVID-19 pandemic and use these as a platform to argue that international business (IB) as a field should expand its research agenda to study the international division of labor. The worldwide response to the COVID-19 pandemic is accelerating the shift toward the de-globalization of capital, but it will also speed up the move to a stronger globalization of labor. This paradoxical, simultaneous occurrence of de-globalization and globalization offers rich opportunities for future IB research.