• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1171-1180
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• 2021

This study aims to investigate the impact of the multimarket contract on risk-adjusted profitability. Risk-adjusted profitability is measured in terms of risk-adjusted return on assets. This study employs dynamic panel data of 27 commercial banks in Vietnam using the GMM estimator to test the multimarket contact hypothesis in the Vietnamese banking sector. The results show that there is a negative impact of multimarket contact on the profitability of banks. Multimarket contact, deposit to asset ratio, non-interest income to total income, GDP growth rate, Worldwide Governance Indicator (WGI), and operating cost to assets are the major determinants of risk-adjusted profitability of commercial banks. Our main findings show that Vietnamese banks' focus to increase the multimarket contact may lead to lower profitability and there is evidence that supports theory predictions, since the average number of contacts among banks, bank size, and capitalization are positively related to risk-adjusted profitability. The study has policy implications for commercial banks in that they should not only focus on interest as a source of income and diversify their income source from non-interest income as well since it helps to improve risk-adjusted profitability for them.

• Journal of Distribution Science
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• v.20 no.9
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• pp.23-28
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• 2022

Purpose: Research on banking sustainability plays an important role in helping banks understand the level of risk in different types of companies. Therefore, this study was conducted to determine the factors affecting the sustainability of Joint Stock Commercia l Banks in Vietnam. Research design, data and methodology: The following theories, the factors affecting the bank's sustainability include: Business model diversification (income diversification), bank size, loan ratio, and net interest margin. Data was collected from Joint Stock Commercial banks in Vietnam from 2015 to 2019. With GLS model on panel data with banks listed on Vietnam stock exchange. Results: The analysis results show that net interest income has a positive impact on the sustainable business results of banks through the rate of return on total assets (ROA). The non-interest income hasn't impact on bank stability. From this result, there aren't positive signs of income diversification in banks. At the same time, with the obtained results, the study also provides a policy implication for banks. Conclusions: The study also provides some policy implications to improve the bank stability. Diversifying income in banks is necessary, but how to make it influential banks has not yet been done. Therefore, the adjustments in non-interest business activities need to be carefully considered by banks.

• Journal of Chest Surgery
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• v.24 no.11
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• pp.1115-1124
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• 1991

Recently the thoracic injuries have been markedly increasing due to the vast increase of traffic accident, industrial disaster, and incidental accident as well as the frequent use of the murderous weapons including gun or rifle. Because the thoracic injuries could involve the heart, lung, and great vessels, and would influence the lives, prompt diagnosis and adequate treatment are essential. Most of thoracic injuries can be managed with the conservative treatment and simple surgical procedure such as closed thoracostomy, but certain cases require open thoracotomy to preserve lives and to return to their normal environment. The authors have analysed the result of 53 cases of open thoracotomy after thoracic injuries mainly according to the patient`s chart review. The mean age was 33.4 years old and male to female ratio was about 5: l. Injury mechanisms that elicited thoracic trauma indicated for open thoracotomy were penetrating[47%] and non-penetrating[53%] injuries. The Most common type of the thoracic lesion was hemothorax with or without pneumothorax and diaphragm rupture was the second. 58\ulcornero of thoracic injuries were accompanied by abdominal injuries and 47% by bone fractures. 34 patients were operated within 24 hours after injury and their average elapsed time was 13.6 hour. The remained patients were operated after 24 hours and their average elapsed time was 7.8 days. 71 cases of operative procedures containing some overlappings were performed: diaphragm repair[28], bleeding control[12], pulmonary and cardiac repair[4 cases] Postoperative complication rate was 32.1% and operative mortality rate was 9.4%[5/53].

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.205-212
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• 2020

This study seeks to examine the main factors, external and internal to the bank, that enhance bank lending. Bank lending is one of the connecting bridges in sustaining society. Internal factors consist of ROA, DPK, and CAR. External factors are economic growth and interest rate of Bank Indonesia. The population of this research consists of traditional commercial banks listed on the IDX over the 2014-2017 period. Samples were chosen by purposive sampling method. This study uses secondary data with 56 samples; data analysis uses multiple linear regression. The findings of the study show that internal factors have a greater impact on increasing bank lending than external factors. The main variable among internal factors that influences increase in bank lending is ROA. DPK is the internal factor with the smallest impact on increasing bank lending. The implication of the study is that determining the bank lending should take more account of CAR, DPK, ROA, BI interest rates, and economic growth in making decisions about the amount of lending. These variables can only have a slight effect on increasing lending, though. Besides, internal factors such as NPL, LDR or non-economic factors also need to be considered in channeling bank credit.

• Journal of The Korean Society of Clinical Toxicology
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• v.3 no.2
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• pp.93-98
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• 2005

Purpose: This study was to investigate the resuscitation outcomes and the clinical characteristics of non-traumatic drug-induced out-of-hospital cardiac arrest by analyzing data from a single institution's registry. Method: We conducted a retrospective study of 795 patients who came to the emergency department with non-traumatic drug-induced out-of-hospital cardiac arrest during the period $1991{\~}2004$. Only patients over 18 years of age were included. Clinical characteristics. variables associated with cardiac arrest, and data during resuscitation were obtained from our cardiac arrest database. Patients were divided into two groups: drug-induced cardiac arrest (drug group, n=33), and non drug-induced cardiac arrest (non-drug group, n=762). Results: Spontaneous circulation was restored in 23 ($72{\%}$) patients in the drug group and in 314 ($45{\%}$) patients in the non-drug group ($x^2=0.020$). The patients who discharged alive number were 46 ($6{\%}$) in the non-drug group and 0 ($0{\%}$) in the drug group ($x^2=0.005$). The witnessed arrest, the epinephrine doses, and total defibrillation energy were not different between two groups. Conclusion: The return of spontaneous circulation rate was higher in the drug group than the non-drug group. However the drug group was lower survival discharge rate than in the non-drug group.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.65-72
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• 2010

We propose the asymmetric 2.5Gbps/622Mbps PON(Passive Optical Network) in order to reduce the bandwith of filter at receiver with inverse RZ(Return to Zero) code coded downstream and NRZ(Non Return to Zero) upstream re-modulation. I theoretically analyze BER(Bit Error Rate) performance and the power sensitivity with the optimal threshold level by performing simulation with MATLAB according to the types of downstream data. The results have shown that the optimal threshold level at the optical receiver could be saturated at 0.33 as the optical received power increase more than -26dBm to keep $10^{-12}$ of BER to a minimum. Also the power sensitivity is more improved by about 3dB by fixing the threshold level at 0.33 than the conventional receiver. The proposed system can be a useful technology for optical access networks with asymmetric upstream and downstream data rates because the optical receiver can be used without controlling threshold levels and that does not require a light source in optical network unit (ONU) and its control circuits in the optical line termination (OLT).

• Journal of Periodontal and Implant Science
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• v.39 no.1
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• pp.59-70
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• 2009

Purpose: The purpose of this study was to investigate the degree of compliance with supportive periodontal therapy(SPT), to determine if any significant differences existed in the characteristics of compliant, erratically compliant and non-compliant patients and to identify reasons for poor compliance. Materials and methods: Four hundred five patients who initially visited between July 2003 and December 2004 and were treated until June 2005 were retrospectively evaluated for their compliance with SPT in terms of attendance for a recommended schedule of visits. Patients' compliance was classified as complete compliance(attended more than 80% of the recommended appointments), erratic compliance(attended less than 80% of the recommended appointments or discontinued) and non-compliance(did not return for SPT). Analysis was made for each group to correlate the degree of compliance with gender, age, smoking, distance between their houses and the hospital, disease severity, type of therapy, implant, plaque control instruction and systemic diseases. Tele research of erratically compliant and non-compliant patients was carried out to identify reasons for their poor compliance. Results: Only 24.7% of the patients were in complete compliance. The highest drop-out rate(32.4%) occurred in the first year. A significantly greater percentage of non-smokers and patients who finished plaque control instruction were in complete compliance. A significantly greater percentage of patients without implant and patients who had been treated by only scaling and root planing were in non-compliance. More males were found to be compliant with SPT, although this was marginally significant. There were no significant differences between compliant, erratically compliant and non-compliant patients with regard to age, distance, disease severity and systemic disease. The survey revealed that the main reasons for poor compliance with SPT were inconvenient location and insufficient time. Conclusion: Patients' compliance with SPT was poor and the highest drop-out rate(32.4%) occurred in the first year. Significant relationships were found between the degree of compliance and smoking, type of therapy, implant, plaque control instruction and gender.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.463-474
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• 2020

This study aims to investigate the impact of COVID-19 pandemic on the stock markets of sixteen countries. Pooled OLS regression, conventional t-test and Mann-Whitney test are used to estimate the results of the study. We construct a weekly panel data of COVID-19 new cases and stock returns. Pooled OLS estimation result shows that the growth rate of weekly new cases of COVID-19 negatively predicts the return in stock market. Next, the returns on leading stock indices of these countries during the COVID-19 outbreak period are compared with returns during the non-COVID period. We use a t-test and Mann-Whitney test to compare the returns. The results reveal that investors in these countries do not react to the media news of COVID-19 at the early stage of the pandemic. However, once the human-to-human transmissibility had been confirmed, all of the stock market indices negatively reacted to the news in the short- and long-event window. Interestingly, we noticed that the Shanghai Composite Index, which was severely affected during the short-event window, bounced back during the long-event window. This indicates that the Chinese government's drastic measures to contain the spread of the pandemic regained the confidence of investors in the Shanghai Stock Market.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1295-1301
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• 2015

Background: Cancer imposes a significant economic burden on individuals, families and society. The purpose of this study was to estimate the economic burden of cancer using the healthcare claims and cancer registry data in Korea in 2009. Materials and Methods: The economic burden of cancer was estimated using the prevalence data where patients were identified in the Korean Central Cancer Registry. We estimated the medical, non-medical, morbidity and mortality cost due to lost productivity. Medical costs were calculated using the healthcare claims data obtained from the Korean National Health Insurance (KNHI) Corporation. Non-medical costs included the cost of transportation to visit health providers, costs associated with caregiving for cancer patients, and costs for complementary and alternative medicine (CAM). Data acquired from the Korean National Statistics Office and Ministry of Labor were used to calculate the life expectancy at the time of death, age- and gender-specific wages on average, adjusted for unemployment and labor force participation rate. Sensitivity analysis was performed to derive the current value of foregone future earnings due to premature death, discounted at 3% and 5%. Results: In 2009, estimated total economic cost of cancer amounted to $17.3 billion at a 3% discount rate. Medical care accounted for 28.3% of total costs, followed by non-medical (17.2%), morbidity (24.2%) and mortality (30.3%) costs. Conclusions: Given that the direct medical cost sharply increased over the last decade, we must strive to construct a sustainable health care system that provides better care while lowering the cost. In addition, a comprehensive cancer survivorship policy aimed at lower caregiving cost and higher rate of return to work has become more important than previously considered.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.65-82
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• 2021

Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.