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Factors Affecting the Development of Vietnamese Construction and Real Estate Companies
Giang Lam PHAN(Giang Lam PHAN ),Thuy Dieu NGUYEN(Thuy Dieu NGUYEN ),Chi Thi NGUYEN(Chi Thi NGUYEN ),Lan NGUYEN(Lan NGUYEN ),Le Thi TRAN(Le Thi TRAN ) 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.9
This study aims to investigate the factors that contribute to the sustainable development of 334 Vietnamese construction and real estate companies listed on the Stock Exchange of Vietnam over a 5-year period from 2016 to 2020. By using regression analysis with the support of STATA software through examining the financial statements, which involves looking into crucial ratios including capital structure, profitability, firm size, accounts receivable management, and tangible assets investment, this study sheds light on whether these accounting indicators could help predict the construction and real estate companies growing potential in the future. Nevertheless, these ratios slightly contribute to the explanation of the change in revenue growth ratio, with a result of 1.6%, indicating that the value relevance of accounting information provides a modest and insignificant effect on investment decisions. This is understandable because the Vietnamese construction and real estate market still has many shortcomings in handling unexpected events, as well as the industry’s peculiarities related to major capital sources from bank loans. Based on this study, governmental authorities and business executives should plan appropriate risk management policies and measures to contribute to the sustainable development of construction and real estate companies.
Predicting Financial Distress Distribution of Companies
Giang Huong VU(Giang Huong VU ),Chi Thi Kim NGUYEN(Chi Thi Kim NGUYEN ),Dang Van PHAM(Dang Van PHAM ),Diu Thi Phuong TRAN(Diu Thi Phuong TRAN ),Toan Duc VU(Toan Duc VU ) 한국유통과학회 2022 유통과학연구 Vol.20 No.10
Purpose: Predicting the financial distress distribution of an enterprise is important to warn enterprises about their future. Predicting the possibility of financial distress helps companies have action plans to avoid the possibility of bankruptcy. In this study, the author conducted a forecast of the financial distress distribution of enterprises. Research design, data and methodology: The forecasting method is based on Logit and Discriminant analysis models. The data was collected from companies listed on Vietnam Stock Exchange from 2012 to 2020. In which there are both companies suffer from financial distress and non-financial distress. Results: The forecast analysis results show that the Logistic model has better predictability than the Discriminant analysis model. At the same time, the results also indicate three main factors affecting the financial distress of enterprises at all three research stages: (1) Liquidity, (2) Interest payment, and (3) firm size. In addition, at each stage, the impact of factors on financial distress differs. Conclusions: From the results of this study, the author also made several recommendations to help companies better control company operations to avoid falling into financial distress. Adjustments to current assets, debt, and company expansion considerations are the most important factors for companies.
A Survey about Consensus Algorithms Used in Blockchain
( Giang-truong Nguyen ),( Kyungbaek Kim ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.1
Thanks to its potential in many applications, Blockchain has recently been nominated as one of the technologies exciting intense attention. Blockchain has solved the problem of changing the original low-trust centralized ledger held by a single third-party, to a high-trust decentralized form held by different entities, or in other words, verifying nodes. The key contribution of the work of Blockchain is the consensus algorithm, which decides how agreement is made to append a new block between all nodes in the verifying network. Blockchain algorithms can be categorized into two main groups. The first group is proof-based consensus, which requires the nodes joining the verifying network to show that they are more qualified than the others to do the appending work. The second group is voting-based consensus, which requires nodes in the network to exchange their results of verifying a new block or transaction, before making the final decision. In this paper, we present a review of the Blockchain consensus algorithms that have been researched and that are being applied in some well-known applications at this time.
효과적인 정책 커뮤니케이션에 영향을 미치는 요인의 탐색 젊은 세대를 대상으로 한 노인복지정책 커뮤니케이션의 맥락에서
( Giang Pham ),최정화 ( Joung Hwa Choi ),권명순 ( Myung Soon Kwon ) 한국PR학회 2014 PR연구 Vol.18 No.3
As the South Korea population entered into an ageing society in 2000, elderly welfare policies have become an important political agenda. To prepare for the ageing society, the government not only needs to reform its retirement system, but also needs to elicit voluntary support from the young population. The present study aimed to identify the key factors which may influence the effectiveness of communication in the context of communicating policies about elderly welfare. A survey of college students (N=362) revealed that the perceived benefits, institutional efficacy, and personal involvement with the issue played important roles in eliciting the support from young people. A significant interaction was also observed between the perceived benefits and personal involvement. The implications were then discussed in conjunction with communication strategies for the formation of a favorable attitude towards elderly welfare policies in the younger population.
Multiuser Diversity based Adaptive Scheduling Scheme for OFDMA systems
Giang Hai Tong,HyeongJung Kim,Subodh Pudasaini,Seokjoo Shin 한국차세대컴퓨팅학회 2012 한국차세대컴퓨팅학회 논문지 Vol.8 No.1
OFDMA 기반 다중사용자 시스템에서는 상향링크 피드백 형식으로 기지국에 보고되는 각 사용자의 채널 품질 정보(CQI)를 기반으로 사용자를 선택한다. 이를 위해 상향링크 채널의 오버헤드가 많이 요구되는 상세한 피드백 정보를 이용하거나 오버헤드는 적지만 불충분한 CQI 정보를 이용하는 방식은 상호 trade-off 관계에 있기 때문에 시스템 처리률을 최적화시키기에 어려움이 있다. 따라서 이 문제를 해결하기 위해, best-M 스케줄링 기법이 제안되었다. best-M 기법에서는 모든 서브채널에 대해서 CQI를 전송하는 대신에 M 서브채널의 CQI 만을 기지국으로 전송함으로써 상향링크 오버헤드를 줄일 수 있게 된다. 본 논문에서는 시스템의 처리량을 더 향상시키기 위해서, 능동적 사용자들의 수를 기반으로 M을 적응적으로 계산하는 적응적 best-M 피드백 스케줄링 방식을 제안하였다. 컴퓨터 시뮬레이션을 통한 제안 방식의 성능 분석 결과로부터 제안된 기법은 상향링크 오버헤드를 현저히 줄이면서 향상된 하향링크 처리률을 제공할 수 있음을 확인하였으며, 특히 best M 방식과 비교할 경우 동일 시스템에서 더 많은 동시 사용자를 지원할 수 있음을 확인하였다. 또한, 본 연구에서는 총 피드백 오버헤드 제한 조건에 따른 시스템 최적 처리률을 얻기 위한 중요 동작 포인트를 얻을 수 있었다.
Giang Thu Nguyen,Shi Nae Kim,천항석,Woo-Keun Kim,장정호 한국구조생물학회 2019 Biodesign Vol.7 No.2
Methylglyoxal reductase Gre2 converts methylglyoxal to lactaldehyde, using either NADH or NADPH as electron donor,to protect cells from the cytotoxic effects of methylglyoxal. Gre2 belongs to the short-chain dehydrogenase/reductasesuperfamily, which exhibits considerable variation in its substrate binding clefts to catalyze a broad range of substrates. In this study, to understand the structural features and molecular mechanism of Gre2, we overexpressed, purified, andcrystallized the N-terminal His6-tagged Gre2 protein from Candida albicans and obtained X-ray diffraction data at aresolution of 2.8 Å. The C. albicans Gre2 crystal belongs to space group I23 with unit cell parameters a = b = c = 149.6 Å, α= β = γ = 90º. There is one molecule in the asymmetric unit.