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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.
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 Nguyen,So Young Park,Dinh Vinh Do,Dae-Hee Choi,조은희 대한내분비학회 2022 Endocrinology and metabolism Vol.37 No.6
Background: Dipeptidyl peptidase-4 inhibitors (DPP-4Is) are used clinically as oral antidiabetic agents. Although DPP-4Is are known to ameliorate liver fibrosis, the protective mechanism of DPP-4Is in liver fibrosis remains obscure. In this study, gemigliptin was used to investigate the potential of DPP-4Is to alleviate the progression of liver fibrosis. Methods: To clarify the effects and mechanisms of gemigliptin, we conducted various experiments in LX-2 cells (immortalized human hepatic stellate cells [HSCs], the principal effectors of hepatic fibrogenesis), which were activated by succinate and exhibited elevated expression of α-smooth muscle actin, collagen type 1, and pro-inflammatory cytokines and increased cell proliferation. Invivo, we examined the effects and mechanisms of gemigliptin on a high-fat, high-cholesterol–induced mouse model of nonalcoholic steatohepatitis (NASH). Results: Gemigliptin decreased the expression of fibrogenesis markers and reduced the abnormal proliferation of HSCs. In addition, gemigliptin reduced the succinate-induced production of mitochondrial reactive oxygen species (ROS), intracellular ROS, and mitochondrial fission in HSCs. Furthermore, in the mouse model of NASH-induced liver fibrosis, gemigliptin alleviated both liver fibrosis and mitochondrial dysfunction. Conclusion: Gemigliptin protected against HSC activation and liver fibrosis by alleviating mitochondrial dysfunction and ROS production, indicating its potential as a strategy for preventing the development of liver disease.