• Journal of Family Resource Management and Policy Review
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• v.17 no.2
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• pp.121-145
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• 2013

The purpose of this study is to understand married female immigrants' life adjustment process in Korea by explaining the resources to which they have access and how they use them. The data were collected through in-depth interviews with ten female participants who have more than one child, have participated in programs of the multicultural family support center, have work experience, can communicate with Koreans, and live in Daegu. The major findings are as follows. The participants' personal resources differed. English language skills were very useful resources for making money and for earning the respect of family members and others. However, the participants without English language skills had sincerely and actively tried to learn the Korean language and gain bilingual competence. The participants obtained diverse family resources from their husbands and parents-in-law after adapting themselves to perform their gender role. Further, the participants used the social resources offered by public support systems as a starting point for learning the Korean language in their early adaptation process, and formed personal networks with staff members at the multicultural family support center. The results show that the participants used many kinds of resources for acculturation by interacting positively with their environment. Moreover, the resources from diverse levels of their environments affected their acculturation process.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.93-102
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• 2021

The world is facing an unprecedented economic, social and political crisis with the spread of COVID-19. The Corona Virus (COVID-19) and its global spread have resulted in declaring a pandemic by the World Health Organization. The deadly pandemic of 21st century has spread its wings across the globe with an exponential increase in the number of cases in many countries. The developing and underdeveloped countries are struggling hard to counter the rapidly growing and widespread challenge of COVID-19 because it has greatly influenced the global economies whereby the underdeveloped countries are more affected by its devastating impacts, especially the life of the low-income population. Information and Communication Technology (ICT) were particularly useful in spreading key emergency information and helping to maintain extensive social distancing. Updated information and testing results were published on national and local government websites. Mobile devices were used to support early testing and contact tracing. The government provided free smartphone apps that flagged infection hotspots with text alerts on testing and local cases. The purpose of this research work is to provide an in depth overview of emerging technologies and recent ICT developments to combat COVID-19 Pandemic. Finally, the author highlights open challenges in order to give future research directions.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.97-106
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• 2021

Social networking platforms have become a smart way for people to interact and meet on internet. It provides a way to keep in touch with friends, families, colleagues, business partners, and many more. Among the various social networking sites, Twitter is one of the fastest-growing sites where users can read the news, share ideas, discuss issues etc. Due to its vast popularity, the accounts of legitimate users are vulnerable to the large number of threats. Spam and Malware are some of the most affecting threats found on Twitter. Therefore, in order to enjoy seamless services it is required to secure Twitter against malicious users by fixing them in advance. Various researches have used many Machine Learning (ML) based approaches to detect spammers on Twitter. This research aims to devise a secure system based on Hybrid Similarity Cosine and Soft Cosine measured in combination with Genetic Algorithm (GA) and Artificial Neural Network (ANN) to secure Twitter network against spammers. The similarity among tweets is determined using Cosine with Soft Cosine which has been applied on the Twitter dataset. GA has been utilized to enhance training with minimum training error by selecting the best suitable features according to the designed fitness function. The tweets have been classified as spammer and non-spammer based on ANN structure along with the voting rule. The True Positive Rate (TPR), False Positive Rate (FPR) and Classification Accuracy are considered as the evaluation parameter to evaluate the performance of system designed in this research. The simulation results reveals that our proposed model outperform the existing state-of-arts.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.289-293
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• 2022

"Tolerance" is considered as an important professional quality of a modern specialist, which is manifested in an active moral position and readiness for constructive interaction with other participants in the pedagogical process; characterized by the manifestation of humanity, tolerance, friendliness, focus on resolving conflict situations in the professional sphere on a non-violent basis. The article considers scientific approaches to understanding the phenomenon of "tolerance". There are a number of factors that significantly affect the formation of tolerance in students. The way to the formation of tolerance is the rejection of social prejudices, negative social stereotypes, the development of an objective attitude to man regardless of his individual characteristics, the formation of skills of tolerant interpersonal interaction, the use of lectures, discussions, games and training in educational work. The purpose of this article is to highlight communicative tolerance as a necessary component of pedagogical practice of future professionals. It was emphasized that tolerance is the basis of religious tolerance and peace, prevention of all kinds of extremism, which are of particular importance for a multinational and multi-religious Ukraine.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.93-98
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• 2023

Instagram is one of the fastest-growing online photo social web services where users share their life images and videos with other users. Image tagging is an essential step for developing Automatic Image Annotation (AIA) methods that are based on the learning by example paradigm. Hashtags can be used on just about any social media platform, but they're most popular on Twitter and Instagram. Using hashtags is essentially a way to group together conversations or content around a certain topic, making it easy for people to find content that interests them. Practically on average, 20% of the Instagram hashtags are related to the actual visual content of the image they accompany, i.e., they are descriptive hashtags, while there are many irrelevant hashtags, i.e., stophashtags, that are used across totally different images just for gathering clicks and for search ability enhancement. Hence in this work, Sorting instagram hashtags all the way through mass tagging using HITS (Hyperlink-Induced Topic Search) algorithm is presented. The hashtags can sorted to several groups according to Jensen-Shannon divergence between any two hashtags. This approach provides an effective and consistent way for finding pairs of Instagram images and hashtags, which lead to representative and noise-free training sets for content-based image retrieval. The HITS algorithm is first used to rank the annotators in terms of their effectiveness in the crowd tagging task and then to identify the right hashtags per image.

• Journal of Korean Medical classics
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• v.22 no.3
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• pp.187-202
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• 2009

The globalization of oriental medicine can be interpreted as the work of making its own contents able to be communicated among global heterogeneous cultural groups. In the field of oriental medical classics the work is to translate its classics into English and introduce them to researchers of oriental medicine in the world, which is essential in order to stimulate global academic communication in that the classics are the prototype as well as the source of oriental medical knowledge for thousands of years. Previous English translation studies have had limits in that terms used were not based on mutual agreement. Now "WHO International Standard Terminologies on Traditional Medicine in the Western Pacific Region(WHO-IST)" is the outcome of developing standard terminologies on oriental medicine contributed by researchers of Korea, China and Japan. The study aims to translate parts of "Classic of difficult issues(難經)" into English adopting "WHO-IST" hoping to set a model of translation study which can be communicated universally.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.115-120
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• 2022

New realities of social relations are changing the understanding of certain phenomena, including the emergence of new concepts among the objects of property rights, such as: virtual assets, and the circulation of virtual assets. The rapid development of the virtual assets market involves the legislative consolidation of the status of such assets, changes in taxation, their circulation, and so on. These circumstances increase the interest in the study of virtual assets as the latest object of property rights and necessitate the study of this topic. The work aims to explore the theoretical developments and regulations on virtual assets in the modern world, as well as to summarize the conclusions about virtual assets as the latest object of property rights. The object of research is the content of the concept of "virtual asset" and its legal status. The methodology of work is represented by a set of methods and techniques that were used to achieve this goal, namely: hermeneutic, historical, extrapolation, comparative law, generalization, analysis, synthesis, and deduction. The study analyzed different approaches to understanding virtual assets, analyzed the characteristics of virtual assets, and concluded that in today's conditions there is no single unified legal regulation of virtual assets, although many countries are moving towards consolidating the status of virtual assets.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.103-110
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• 2024

In the quickly developing world, the idea of the conventional advancement needs to advance[1]. When applied to the advanced work environment, the conventional strategies give as much damage as they do great. Tragically, an absence of versatility in the customary techniques has prompted an inflexible work structure that is truly not viable with the present business. The Agile technique is, subsequently, a more adequate practice, in view of creating programming at a faster speed, while as yet looking after proficiency. The coordinated programming improvement strategies are concentrated in this paper. As per study results, Agile software development group needs solid client association; great light-footed task the executives' measures; item proprietor expands business esteem conveyed by group and need and draw in partners; great deft designing procedures or practices; and great advancements and advancement apparatuses[2]. This examination has suggestions for positive social change since associations that comprehend the basic components might have the option to improve project the executives' systems and money saving advantages prompting higher effectiveness, productivity, and efficiency hence profiting the board, representatives, and client. This survey paper incorporates various methodologies of Agile and their analysis.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.1-8
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• 2020

Existing studies have used a variety of terms related to North Korea's income guarantees, causing some confusion. It can be said that it is a problem that appears only when dealing with the contents of a specific statute in an existing study. To this end, we will look at the laws and regulations related to income security by period and analyze the contents of dictionaries that are also the explanations of the laws and the status of orders and rules. As a result of the analysis, living subsidies are classified into subsidies under the national social insurance system and pension and subsidy under the national social security system. Among them, the pension under the national social security system, which is an income security system for non-workers, includes old age pensions, labor capacity loss pension(general work ability loss pension, accidental work ability loss pension, honored soldiers' work ability loss pension), and survivor pension(general survivor pension, war deads' survivor pension, victims' survivor pension). In particular, it was confirmed that the terminology for social security pension, which has been confusing in previous studies, is a collective jargon for all pensions under the national social security system. This study is significant in that it synthesized the historical transition process of the terminology of income security from the 10th Platform for the National Liberation Society in 1936 to the Socialist Constitution of the Democratic People's Republic of Korea in 2013.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6439-6444
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• 2015

Background: In India smokeless tobacco users account for 25.9% of total tobacco use, Gutkha being the most common form. This study evaluated the association between serum lipid profile and Gutkha use as an early diagnostic and/or prognostic indicator for oral submucous fibrosis (OSMF) and oral cancer (Oral Ca) in non-smokers and non-alcohol consumers. Materials and Methods: A total of 163 participants were recruited from two sites in India. Participants were divided into four groups: individuals without any Gutkha chewing habit and without any oral lesions (control group), individuals with Gutkha chewing habit but without any oral lesions (GWL), patients with a confirmed clinical diagnosis of OSMF, and patients with a confirmed diagnosis of Oral Ca. Mixed linear modelling (MLM) was conducted to detect the change in mean serum lipid levels among four groups. Results: The sample consisted of 69% males and 31% females. Results of MLM show an inverse relationship between serum lipid levels in OSMF, and Oral Ca groups when compared to the control group. Conclusions: The results of our study demonstrated that GWL, OSMF and Oral Ca patients had lower serum lipid levels. Low serum lipid levels could be an indicator of initial neoplastic changes in oral cancer.