مطالب

“Flipped” or inverted classrooms are designed to utilize class time for application and knowledge building, while course content is delivered through the use of online lectures and watched at home on the students’ time. It is believed that flipped classrooms promote student engagement and a deeper understanding of the class material. The implementation of flipped classroom has been conducted in China’s higher education for more than a decade. However, its implementation in Hotel English courses has not received any attention. By doing a needs analysis, it was proved that the implication of flipped classroom model would be promising in Hotel English courses. Hence, the author redesigned the Hotel English course based on the results of the needs analysis. This course is expected to improve the cultural awareness of the students and offer them with more opportunities to practice speaking English, especially in an authentic situation. Meanwhile, their problem-solving ability and critical thinking ability can be upgraded. As a result, the students can be well prepared to enter their future career not only in hotel industry but other areas.

While the bulk of literature repletes with studies on emotional intelligence and its effect on teachers' performance and students' academic achievement, few have been released as to the potency of the factors that can foster emotional intelligence inside classrooms. Accordingly, the present study aimed to investigate the extent to which spiritual intelligence could be a predictor of emotional intelligence. The data were collected through a merger of the Brief Emotional Intelligence Scale (BEIS-10) and Spiritual Intelligence Self-Report Inventory (SISRI).  The evolved 34-item questionnaire was translated into Persian to ensure maximum comprehension of participants. The sample of this study consisted of 847 undergraduate Iranian EFL learners from two provinces in Iran. Three phases were in this study. First, an exploratory factor analysis of SISRI-24 was performed. Second, confirmatory factor analysis of both inventories, individually, was done by IBM SPSS AMOS. This was followed by CFA of the 34-item questionnaire. Last, multiple regression analysis was modeled to find the predictive relationships. The results of PCA revealed a three-factor model of SISRI (18 statements). CFA also verified both inventories under investigation. The model fit estimated of the 34-item questionnaire was sufficiently adequate to approve the model. Multiple regression analysis also indicated that critical existential thinking could predict both appraisal and regulation of own emotions as well as utilization of emotions. Likewise, conscious state expansion could predict the utilization of emotions. It was also found that personal meaning production could predict the appraisal of other emotions. 

This paper aims to show the asymmetric effect of oil shocks on Iran’s economy. It uses nonlinear time series models to investigate the asymmetric effect of oil shocks on resource allocation in Iran’s economy. The results show that adverse oil shocks have been more persistent during the last decades and severely negatively affect resource allocation in Iran’s economy. Different oil shocks have different implications for importing and exporting countries, and the rigidity of state fiscal systems in exporting countries causes adverse oil shocks to be more persistent. The oil economy’s response to positive and negative oil shocks depends on the structure of the economy. The government budget and trade balance have significant implications for the effects of oil shocks on oil-exporting economies. The government budget is highly dependent on oil revenues, so in the case of adverse oil shocks, the pass-through exchange rate will cause high inflation because of foreign exchange shortage and overshoot in the exchange rate. 

The article is devoted to solving the problems of predicting the education of Ukrainian staff in the current COVID-2019 conditions in order to improve the efficiency of their work. Theoretical approaches regarding the characteristics of modeling and prediction of education have been studied, systematic and summarized. Factors that significantly complement the theory and methodology of the scientific provisions of the economy have been identified, taking into account the peculiarities of their work in the modern economic environment, structural changes, and new changes. The pros and cons of studying modeling approaches have been identified. The main features of structural change have been studied and it has been established that the modeling and forecasting of staff education has significant features.

The article is devoted to solving the problems of internal economic relations in Ukraine in modern conditions in order to increase the efficiency of their functioning. Studied, systematized and generalized theoretical approaches regarding the features of the interaction of internal and external economic relations, which significantly complement the theory and methodology of the scientific principles of the branch economy. In Ukraine, during the period of restoration of trade and economic relations with the CIS countries and active integration processes in the world economy, the volumes and structure of exports and imports undergo significant changes. In this regard, it is advisable to forecast the export and import in the near future. Conceptual provisions regarding the formation of a national strategy, a mechanism for managing the development of Ukraine’s integration processes on the principles of improving the current legislative and regulatory regulation in the country are proposed. In addition to the convenience for calculations, the hierarchical model also has other significant advantages. So, a high degree of independence of groups from each other makes it extremely flexible.

The epidemic situation generated as a result of COVID -19 crossways the sphere observed the practices of various emerging technology like Internet of Thing (IoT) along with norm of dynamic fields. The wireless communication  based on networks such as wireless mesh networks (WMN) and Mobile Ad-hoc networks (MANETS) proven to be very successful for monitoring of patients remotely. The MANET protocols that are simulated in this study are  Ad-hoc On Demand Vector (AODV), Secure AODV (SAODV) and Hybrid Wireless Mesh Protocol (HWMP). In this investigation work, most appropriate routing protocols to knob DDoS attacks are simulated using NS-2 and assessed in terms of average energy consumption in the state of changing speed connections among devices called mesh nodes. Further ANOVA test is utilized for further accessing for the best suited routing protocol for handling the data packets, which is HWMP , considerable less susceptible for DDoS assaults dominant in healthcare field.