• Acta Via Serica
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• v.3 no.2
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• pp.161-180
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• 2018

Pax Sinica is a historiographical term, modeled after the original phrase Pax Romana. It refers, in Latin, to a Chinese-provided peace which in turn is used to describe an era of peace in East Asia sustained by Chinese hegemony. In historical terms, both the Pax Sinica of the Eastern hemisphere through Han China and the Pax Romana of the Western hemisphere through Rome signified a trans-regional order based on rules and regulations. This orderly world of the Pax Sinica generated a number of positive results such as the intensification of travel, ever-expanding trade relations, an increase in the overall living standards of the populace, the proliferation of cities, and a demographic upsurge in Eurasia along the ancient Silk Road. During this period, China was the dominant civilization not only in the Eastern hemisphere but also in the Middle hemisphere due to its political, economic, military and cultural influence. This paper aims to reintroduce this historiographical term to elucidate the recent Chinese initiatives in Eurasia along the Silk Road to facilitate the integration and connectivity of the continent.

• Journal of Korean Clinical Nursing Research
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• v.24 no.3
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• pp.363-370
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• 2018

Purpose: The study was conducted to investigate correlations between self-management and physiological measurements of patients on hemodialysis according to their age. Methods: The subjects were 120 patients on hemodialysis at three hospitals in S and G cities. Data were collected using a structured questionnaire and medical records. The collected data were analyzed using descriptive statistics including t-test, ANOVA, and Pearson's correlation analysis with the SPSS 23.0 program. Results: The levels of compliance with self-management were highest in the middle-aged group. There was no significant difference in physiological measurements between the different age groups. Conclusion: The results suggest that nurses should consider characteristics of different age groups to improve the levels of self-management and physiological measurements.

• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.1-7
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• 2019

The purpose of this study is to investigate and analyze the service satisfaction of users using community service, and to suggest directions for continuous growth and high service of social service providers in the future. This study was conducted on G metropolitan cities. T-test and one-way ANOVA were conducted for the comparison of 476 users of social service users by gender, income level, and age. In addition, multiple regression analysis was conducted to identify factors affecting user satisfaction. The statistical package analyzed was SPSS 21.0. As a result of the study, the application process, the satisfaction of the service period, and the satisfaction of the service provider were statistically significant at the income level. In addition, in the age group satisfaction, the application procedure, the satisfaction of the service period, the satisfaction of the service frequency, and the satisfaction of the workforce were statistically significant.

• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.49-57
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• 2019

The main purpose of the research is to examine impact of organizational justice and perceived organizational support on effectiveness of crime control in police organizations. This research employs a survey questionnaire to measure organizational justice, perceived organizational support, and effectiveness of crime control. The number of subject of the study is 285 police officers working in Daegu metropolitan city and some cities of Gyeongsangbuk-do province. The study employs regression analysis to analyze the effect of organizational justice and perceived organizational support on police performance. As the result of analysis, the effect of organizational justice on effectiveness of crime control is statistically significant at the level 0.01, perceived organizational support at the level 0.05. The key finding of this study is that in the performance-based management system, the reciprocal relationships between managers and individual officers with organizational justice and perceived organizational support play an important role in building a sustainable growth system in the police.

• International Journal of High-Rise Buildings
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• v.8 no.1
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• pp.37-47
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• 2019

Facing the challenges of urban form and space quality in a high-density environment, the paper puts forward the development trend of three-dimensional and multi-functional design for an urban high-rise complex, and analyzes the design methods of establishing an urban landmark, including multi-functional composition, three-dimensional space integration, three-dimensional traffic organization and energy flow programming. Meanwhile, combined with the specific design case of Yiwu World Trade Center, the practical experience of designing a high-rise complex in China's medium-sized cities is analyzed.

• International Journal of High-Rise Buildings
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• v.8 no.1
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• pp.1-18
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• 2019

As many architects and visionaries have shown over a period spanning more than a century, the re-creation of the urban realm in the sky through connections between buildings at height has a vast potential for the enrichment of our cities. To many it seems nonsensical that, although the $20^{th}$ and now $21^{st}$ century, have clearly seen a push towards greater height and urban density in our major urban centers, the ground-pavement level remains almost exclusively the sole physical plane of connection. As the world rapidly urbanizes, greater thought needs to be expended on how horizontal space can be developed at height. This paper briefly describes the history, present classifications and uses, and potential future development potential of skybridges between tall buildings.

• Human Ecology Research
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• v.57 no.2
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• pp.213-224
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• 2019

This study investigates the effect of depressive vulnerability on the interpersonal problems of university students. We explore the moderating effects of ego-resilience on the relation between depressive vulnerability and interpersonal problems. We selected 380 university students as participants from Daegu and Gyeongsan cities. Collected data was analyzed by descriptive statistics, Pearson's correlation, moderating effect with SPSS 23.0. PROCESS, a SPSS macro program developed by Hayes (2013). The findings are as follows. First, there were significant correlations between non-sociability and dependency, self-criticism, non-self-assertiveness, over-consideration, dominance, personal relations, emotion control, and optimism. Second, ego-resilience was found to moderate the relationship between depressive vulnerability and non-self- assertiveness, over-consideration, and dominance among university students. This study suggests that intervention to address ego-resilience are important to resolve the interpersonal problems of university students.

• Journal of Integrative Natural Science
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• v.14 no.2
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• pp.35-40
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• 2021

In this paper, we proposed a multi-subject-level sentiment analysis model for user reviews using the Latent Dirichlet Allocation (LDA) method targeting user-generated content (UGC). Data were collected from users' online reviews of hotels in major tourist cities in the world, and 30 hotel-related topics were extracted using the entire user reviews through the LDA technique. Six major hotel-related themes (Cleanliness, Location, Rooms, Service, Sleep Quality, and Value) were selected from the extracted themes, and emotions were evaluated for sentences corresponding to six themes in each user review in the proposed sentiment analysis model. Sentiment was analyzed using a dictionary. In addition, the performance of the proposed sentiment analysis model was evaluated by comparing the emotional values for each subject in the user reviews and the detailed scores evaluated by the user directly for each hotel attribute. As a result of analyzing the values of accuracy and recall of the proposed sentiment analysis model, it was analyzed that the efficiency was high.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.143-153
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• 2021

Recently, by applying the 4th industrial revolution technologies such as A.I., IoT, and big data to general residential infrastructure, various application services of residential-based are provided to residents through linkage and utilization between technologies. Accordingly, smart housing system is increasing as advanced living spaces that can improve the quality of life and convenience of residents. Such a smart housing is expected to be an item that can create new demands and markets in the construction industry since it provides a new paradigm that combines construction technology and IT by combining IT technology with existing construction industry. Based on this, it is expected that it will be possible to gradually develop large-scale markets such as smart buildings and smart cities. In this paper, therefore, we propose an artificial intelligence multiplex smart housing system as an intelligent platform that can autonomously manage and control the size of places and spaces, used for various purposes based on smart housing technology by using artificial intelligence systems.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.247-253
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• 2021

The outbreak of the deadly virus COVID-19 is said to infect 17.3Cr people around the globe since 2019. This outbreak is continuously affecting a lot of new people till this day and, most of it is said to under control. However, vaccines introduced around the world can help mitigate the risk of the virus. Apart from medical professionals, prediction models are also said to combinedly help predict the risk of infection based on given datasets. This paper is based on publication of a machine learning approach using regression models to predict the output based on dataset which have indictors grouped based on active, tested, recovered and critical cases along with regions and cities covering most of it from Dubai. Hence, the active cases are tested based on the other indicators and other attributes. The coefficient of the determination (r²) is 0.96, which is considered promising. This model can be used as an frame work, among others, to predict the resources related to the dangerous outbreak.