• Korea Trade Review
• /
• v.44 no.1
• /
• pp.285-299
• /
• 2019

The 'One Belt One Road (OBOR)' initiative, which was promulgated as part of the enlargement policy along with the advent of Xi Jinping in 2013, is a policy to expand China's political and economic power externally through linkages with neighboring countries. China's overseas port investment plays an important role in the promotion of the 'OBOR' policy from the coast of China through maritime transportation routes from S.E Asia to Mediterranean and Europe. Since China's overseas port investment has been made from several factors such as political, economic, and military motives, it differs in purpose and character from investments made by private companies, such as Global Port Operators(GTO) which consider profitability first. This study aims to address future prospects and implications by analyzing the geopolitics of China's overseas port investment under the 'One Belt One Road' initiative. According to the results, China's overseas port investment is dominated by state-owned enterprises and political and security factors are more important than profitability. China's overseas port investment has been on a large scale in a short period of time, and China has faced with various problems both domestically and internationally. such as debt default, environmental problems, subordination problems from recipient countries and political and military confrontation with great countries such as United States, Japan and India etc.

• The Southeast Asian review
• /
• v.21 no.1
• /
• pp.185-216
• /
• 2011

This work shows dynamism of empathy which Thailand experienced while its monarchy was replaced by democracy with conflicts and harmony. In this work, two imaginary protagonists are put into the most important period in Thai history, from the political reform of the absolute monarchy in 1932 up to Black May in 1992, for 60 years. With the writer's imagination, they are actualized into the historically important situations with reality. One of them is Yeoy, a dissident and the other is a police officer, a concenter, who chases after him. In this dissertation, empathy is analyzed which the characters feel about real incidents in their country through trust and doubt, hope and anger. This research on emotional circumstance is all about figuring out the direction for harmony and coexistance. Thailand needs a powerful leader who deals with swiftly changing worldwide affairs and domestically economic matters. Even if their leader has the same destination to get to, their approach to it is different from each other. Therefore, conflicts come out and misunderstanding makes situation worse. Public sympathy among Thai is that Thailand contribute to global mutual prosperity, by which Thailand becomes a powerful and influential state in making the world harmonious and prosperous.

• International Journal of Contents
• /
• v.17 no.2
• /
• pp.48-64
• /
• 2021

This study examines mobile news engagement-conceptualized as news exposure and participation-in the context of South Asia which has experienced tremendous growth in mobile-Internet users without receiving much attention from communication scholars. Along with demographic characteristics, this research incorporates motivational factors (grounded on uses and gratifications-U&G-approach) and news type preferences to explore their roles in mobile news engagement among urban citizens in Bangladesh. Results of a self-administered survey (N = 504) revealed that participants' mobile news engagement partially varied depending on their demographic differences, particularly gender, age, and education. Our study also unveiled that individuals' motivation for sharing information seemed to be a strong predictor of mobile news exposure and participation. In addition, Bangladeshi respondents were more likely to be interested in the hard news in terms of expressing views on news comments and sharing news via mobile platform. Conversely, preference for soft type news had a significant influence on news exposure through mobile browsing. This study provides insights into the understanding of global phenomena of mobile news engagement by unpacking the case of Bangladesh where mobile news usage seems to be an evolving state.

• Journal of Wellbeing Management and Applied Psychology
• /
• v.3 no.4
• /
• pp.5-10
• /
• 2020

Purpose: This study aims to explore the experience of cross-cultural communication adaptation between local and expatriate employees at PT. XX Organizational culture in the company is the most important factor to helpemployees in the company to work efficiently and effectively in order to achieve company goals. Research design, data and methodology: The analysis methods used in this research are data reduction, data presentation, and drawing a conclusion. From this collaboration, the cultural adaptations arouse due to the challenges for workers who have to work together with different cultural backgrounds. The method used is qualitative with a case study approach. Data collection methods used is employee interviews at PT. XX with triangulation conducted on 2 expatriates and 2 local employees. Results: Studies show that successful management is highly dependent on employees adapting to local culture and work situations. This process rarely runs smoothly because the persons in intercultural interaction do not use the same language and the lack of adaptation.. Conclusions: . In order to maintain its existence, the company strives to expand its wings in the global market and establish partnerships to expand cooperation. PT. XX from South Korea cooperated with Krakatau Steel, a state-owned Indonesian company

• International Journal of Computer Science & Network Security
• /
• v.21 no.11
• /
• pp.135-142
• /
• 2021

The article reveals the essence of cybercrime, approaches to understanding this concept, classification of cybercrime, and other illegal acts in this area. The concept of cybercrime has multi-discourse nature and a certain legal uncertainty. Cybercrimes, their forms and types are analyzed in the economic context. The research vocabulary of the economic industry is defined. The scope and content of concepts denoted by the terms of the sphere covered by cybercrime are studied, and its types and forms are analyzed. The article studies problems, achievements, and prospects of resisting and combating cybercrime during the development of the civil information society and Ukraine's entry into the global information space. The study focuses on the economic motivation of most cybercrimes since some material benefit from the fact of cyber offenses is assumed directly or indirectly.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.6
• /
• pp.23-32
• /
• 2022

This paper examines the effects of regulatory capital on a bank's profitability and risk. We employ annual data from Vietnamese commercial banks from 2005 to 2020 and use the dynamic GMM regression method to address the potential endogeneity issue, more suitable for panel data with relatively low time dimensions. Our panel regressions indicate that higher regulatory capital would significantly improve the bank's profitability and lower the bank risks. In particular, a one percent increase in the regulatory capital would significantly increase the bank's return on assets by 1.9%. We further explore the heterogeneous impacts of regulatory capital on the Vietnamese bank's performance across bank characteristics. We find that smaller, non-state-owned and non-listed banks would benefit from stringent regulatory capital requirements. The improvements in bank performance are mainly driven by reductions in the risk premium of the banks, resulting in lower funding costs and higher profitability. These findings are essential since Vietnam, as an emerging market, has only implemented the Basel II reform recently on a stable and fast-growing background rather than as a reaction to the global financial crisis. Thus, our empirical results support stringent regulatory capital in emerging countries to ensure a stable banking sector and boost economic growth.

• Korean Journal of Organic Agriculture
• /
• v.29 no.4
• /
• pp.459-469
• /
• 2021

Until now, research on inter-Korean economic cooperation and economic integration has been limited to the areas of the two Koreas. However, Korea is connected with many countries in Asia through the global value chain. Thus, if inter-Korean trade deepens, it may affect the trade structure of neighboring countries. In order to establish a specific inter-Korean economic integration policy when North Korea becomes a normal state in the future, an analysis that reflects the trade structure including Northeast Asia must be preceded. Therefore, in this paper, the impact of inter-Korean trade on Korea, China and Japan was analyzed using the international input and output table containing actual trade data. The scope of analysis was limited to agriculture, reflecting North Korea's demand for economic cooperation. The results show that trade in the agricultural sector between the two Koreas did not have a significant effect of production and value added. but when China and Japan participate in trade with North Korea, the production effect was calculated to be as high as 4 million dollars in Korea and up to 10 million dollars in Japan. And China showed up to 520 million dollars. In addition, the value-added effect was calculated up to $1 million in Korea, up to $4 million in Japan, and up to $250 million in China.

• Journal of Information Processing Systems
• /
• v.17 no.6
• /
• pp.1115-1126
• /
• 2021

Plant disease is one of the most irritating problems for agriculture growers. Thus, timely detection of plant diseases is of high importance to practical value, and corresponding measures can be taken at the early stage of plant diseases. Therefore, numerous researchers have made unremitting efforts in plant disease identification. However, this problem was not solved effectively until the development of artificial intelligence and big data technologies, especially the wide application of deep learning models in different fields. Since the symptoms of plant diseases mainly appear visually on leaves, computer vision and machine learning technologies are effective and rapid methods for identifying various kinds of plant diseases. As one of the fruits with the highest nutritional value, apple production directly affects the quality of life, and it is important to prevent disease intrusion in advance for yield and taste. In this study, an improved deep residual network is proposed for apple leaf disease identification in a novel way, a global residual connection is added to the original residual network, and the local residual connection architecture is optimized. Including that 1,977 apple leaf disease images with three categories that are collected in this study, experimental results show that the proposed method has achieved 98.74% top-1 accuracy on the test set, outperforming the existing state-of-the-art models in apple leaf disease identification tasks, and proving the effectiveness of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.3
• /
• pp.813-829
• /
• 2022

In multi-view subspace clustering, how to integrate the complementary information between perspectives to construct a unified representation is a critical problem. In the existing works, the unified representation is usually constructed in the original data space. However, when the data representation in each view is very diverse, the unified representation derived directly in the original data domain may lead to a huge information loss. To address this issue, different to the existing works, inspired by the latest revelation that the data across all perspectives have a very similar or close spectral block structure, we try to construct the unified representation in the spectral embedding domain. In this way, the complementary information across all perspectives can be fused into a unified representation with little information loss, since the spectral block structure from all views shares high consistency. In addition, to capture the global structure of data on each view with high accuracy and robustness both, we propose a novel low-rank approximation via the tight lower bound on the rank function. Finally, experimental results prove that, the proposed method has the effectiveness and robustness at the same time, compared with the state-of-art approaches.

• BMB Reports
• /
• v.55 no.3
• /
• pp.113-124
• /
• 2022

Single-cell RNA sequencing (scRNA-seq) has greatly advanced our understanding of cellular heterogeneity by profiling individual cell transcriptomes. However, cell dissociation from the tissue structure causes a loss of spatial information, which hinders the identification of intercellular communication networks and global transcriptional patterns present in the tissue architecture. To overcome this limitation, novel transcriptomic platforms that preserve spatial information have been actively developed. Significant achievements in imaging technologies have enabled in situ targeted transcriptomic profiling in single cells at single-molecule resolution. In addition, technologies based on mRNA capture followed by sequencing have made possible profiling of the genome-wide transcriptome at the 55-100 ㎛ resolution. Unfortunately, neither imaging-based technology nor capture-based method elucidates a complete picture of the spatial transcriptome in a tissue. Therefore, addressing specific biological questions requires balancing experimental throughput and spatial resolution, mandating the efforts to develop computational algorithms that are pivotal to circumvent technology-specific limitations. In this review, we focus on the current state-of-the-art spatially resolved transcriptomic technologies, describe their applications in a variety of biological domains, and explore recent discoveries demonstrating their enormous potential in biomedical research. We further highlight novel integrative computational methodologies with other data modalities that provide a framework to derive biological insight into heterogeneous and complex tissue organization.