• The Korean Journal of Food And Nutrition
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• v.12 no.5
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• pp.470-477
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• 1999

The purpose of this study was to choose prinicipal food components contained in diet foods and food additives used for manufacturing processed foods and elucidate their in vivo effects on the growth pattern of Helicobacter pylori. To do this the antibacterial effects of various sources of carbon nitrogen and mineral as an effect agent on Helicobacter pylori were first assessed based upon bacterial growth degree. results show that the source of carbon tested had different effects on bacterial growth of Helicobacter pylori. It was revealed that a promotional effect of monosaccharides resulted in enhanced growth of Helicobacter pylori compared with disaccharides and polysacchrides, in particular glucose was observed to be most effective in growth of Helicobacter pylori among monosaccharides teste whereas mannose to hinder the growth of Helicobacter pylori. Polyols such as sorbitol mannitol maltitol and xylitol was however observed to show no promotion or suppression effect on growth of Helicobacter pylori. Apart from these the sources of amino acid and inorganic nitrogen were chosen and tested to assess the promotion or suppression effect of nitrogen sources on growth of helicobacter pylori. It was found that amino acid such as lysine showed its promotion effect on the growth of Helicobacter pylori while arginine (NH4)2SO4 and NH4Cl showed no effect on its growth. Ammoia and urea were however observed to have a positive effect on the growth of Helicobacter pylori. Among these effect agents lysine and methionine were revealed to show the most positive effect on growth of Helicobacter pylori. Minerals such as MgSO4 KH2PO4 and MgCl2 appered to exert their positive growth effects whereas CaCl2 and CaSo4 had a little effect. In addition FeSO4 FeCl2 and FeCl3 brought suppression on the growth of helicobacter pylori. In studies of the growth of Helicobacter pylori by food additives ascorbic acid showed extreme suppression on its growth,. Sodium nitrate and sodium chloride were also found to be of negative effect on the growth of Helicobacter pylori in rder of degree whereas tocopherol had nothing to do with microbial growth.

• Korea Trade Review
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• v.47 no.6
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• pp.377-393
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• 2022

This study aims to identify the effect of growth of the land transportation industry on economic growth and to provide implications for Korea's metropolitan region policy. The effect of each metropolitan region on the integrated region where each metropolitan region is integrated is as follows. First, The integrated region where each metropolitan region was integrated with the Southeast region and the Daegyeong region had the greatest economic growth effect due to the growth of the land transportation industry in terms of value added, but the effect of the integrated region with the Chungcheong region was the least. In the case of capital such as roads, the integrated metropolitan regions with the Chungcheong region showed the greatest economic effect. However, the impact of the integrated regions with Jeolla region and the Seoul metropolitan region is insignificant. These results suggest that the synergy effect of metropolitan regional integration by spillover effect such as networks should be considered in the land transportation industry policy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.767-780
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• 2021

The purpose of this research is to analyze the effect of financial elements (asset growth, liability growth, equity growth, revenue growth, and profit growth) on stock price performance and to analyze the growth of Corporate Social Responsibility (CSR) costs as a moderating effect. The technique analysis used is regression analysis. Samples in this analysis are manufacturing firms listed on the Indonesian Stock Exchange (IDX) for the period 2014-2018. The use of regression models for hypothesis testing must fulfill several applicable assumptions such as Normality Test, Heteroscedasticity Test, Multicollinearity Test, Autocorrelation Test, Model Fit Test, Determination Coefficient Test, and Hypothesis Test. Data analysis used two research models, namely model 1 and model 2. Model 1 is without the moderating variable, and model 2 is with the moderating variable, that is, CSR cost growth. Based on the result of the regression analysis, it can be inferred that the asset, revenue, and profit growth have a positive impact on stock price results. Liabilities and equity growth do not affect stock price performance. Operating expense growth has a significant effect on price performance. CSR cost growth can moderate the effect of growth in financial statement elements on stock price performance but is not significant.

• Korean Journal of Artificial Intelligence
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• v.7 no.2
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• pp.9-12
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• 2019

With the Chinese government's attention to the artificial intelligence industry, the Chinese government has invested a lot in it recently. Of course, the importance of artificial intelligence industry for China's economic development is increasingly significant. The advent of artificial intelligence boom has also triggered a large number of scientists to analyze the impact of artificial intelligence on economic growth. Therefore, this paper use 31 China's cross-province panel data to study the effect of artificial intelligence on economic growth. Via empirical analyses under a series of econometric methods such as the province and year fixed effect model, the empirical result shows that artificial intelligence has a positive and significant effect on economic growth. Namely, the artificial intelligence is a new engine for economic growth. Meanwhile, the empirical results also indicate that the investment and consumption has a significant and positive effect on economic growth. Oppositely, the inflation and government purchase have a significant negative effect on economic growth. These findings in this paper also provide some important evidences for policy-makers to perform precise behaviors so as to promote the economic growth. Moreover, these finding enriches existing literature on artificial intelligence and economic growth.

• The Journal of Economics, Marketing and Management
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• v.6 no.3
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• pp.14-25
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• 2018

Purpose - Taxes cover all aspects of society, especially in terms of resource allocation and economic growth. In reality, the tax revenue is often used to measure the quality of a country's economy. The relationship between tax revenue and economic growth has been paid much attention by academic circles. Due to this background, this paper attempts to investigate the mutual effect between tax revenue and economic growth. Research design, data, and Methodology - The annual datum form 1980 to 2017 are employed to conduct an empirical analysis under the vector error correction model. In this paper, the GDP is treated as an independent variable. The tax revenue is treated as a dependent variable. Furthermore, a menu of statistic approaches will be used to testify the mutual effect between tax revenue and economic growth. Results - Via the co-integration test, the results report that the tax revenue has a positive effect on economic growth in the long run. Through the vector error correction estimation, the results also report that the tax revenue also has a positive effect on economic growth in the short run. Conclusions - This paper provides a view that the tax revenue is a kind of a determinant to promote economic growth. Therefore, the China's government should pay much attention to the improvement of tax revenue system so as to maintain a high-speed economic growth.

• Asian Journal of Business Environment
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• v.12 no.2
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• pp.1-12
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• 2022

Purpose: This study aims to analyze the inclusive growth in Central Sulawesi Province, an eastern province of Indonesia, up to the districts/cities level. The inclusive growth is analyzed by using Ramos, Ranieri, and Lammens' index that has three indicators which are employment, poverty, and income inequality. Research design, data, and methodology: This study uses panel data of 13 districts/cities in Central Sulawesi Province from 2015 to 2019. The statistical regression used is the panel regression method to analyze the determinants of inclusive growth there. Results: The study found that the average inclusive growth of districts/cities in Central Sulawesi is increasing from the low-level in 2015 to mid-level in 2019. The panel's data regression using fixed effect model FGLS-SUR found Investment (GFCF), Road Infrastructure, HDI, and Processing Industry have a significant positive effect. Regional minimum wage (RMW) has a significant negative effect. Government Expenditure on Education and Health Function has no significant positive effect on inclusive growth. Conclusions: throughout the study period, gini coefficient and poverty rate is slowly decreasing, while employment to population ratio remains volatile in districts/cities of Central Sulawesi.

• Journal of Environmental Science International
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• v.11 no.4
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• pp.319-325
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• 2002

This experiment was carried out to investigate the effects of heavy metals (copper, cadmium, lead and chrome) on the growth of plant and seed germination of Arabidopsis thaliana treated with various concentrations of heavy metals. Cadmium and chrome among the 4 heavy metals had no effect on the growth of stem even in the concentration fifty times higher than the official standard concentration of pollutant exhaust notified by the Ministry of Environment. The official standard concentration of cadmium, however, stimulated the growth of stem in general, increasing leaf size and surface area, although it had no effect on the length of stem. But the growth of stem was decreased about 18% in the official standard concentration of pollutant exhaust of lead and copper. There was no growth of root in the concentration of lead and copper ten times higher than the official standard concentration. Cadmium and chrome had no effect on the seed germination, but lead and copper decreased the rate of seed germination. Seeds were not germinated in the concentration of copper ten times higher than the official standard concentration and in the concentration of lead fifty times higher than the official standard concentration. From this research three peculiar results were obtained. Chrome in the soil did not have much effect on the plant growth and seed germination of Arabidopsis thaliana. Cadmium stimulated the stem growth in an optimum concentration. But lead and copper reduced the plant growth and seed germination even in a small concentration, especially copper had the worse effect.

• The korean journal of orthodontics
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• v.5 no.1
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• pp.33-41
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• 1975

To study the effect of the tetracycline-HCl on the growth of the rats, the author made a daily injection of tetracycline-HCl in the amount of 40mg/kg of body weight to the lactating mother and weanling rats for 7 days. Lactating and weanling young rats were killed at a week intervals and removed tibia and mandible from soft tissues. The effect of the tetracycline on the growth of rats were analysed from the weight, the length of tibia and the size of mandible. The results were as follows: 1. Tetracycline inhibited the growth of young rats. 2. Inhibitory effects were greater ill the weanling group than the lactating group. 3. The inhibitory effect was marked just after the injection of tetracycline-HCl in body weight and after a week in mandible and tibia. 4. The inhibitory effect of growth nab continued for 2-3 weeks in body weight and 3-4 weeks in tibia and mandible. 5. In growth of mandible, the antero-posterior growth was more inhibited than the vertical.

• Journal of Ocean Engineering and Technology
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• v.13 no.2 s.32
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• pp.58-65
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• 1999

The effect of specimen thickness on fatigue crack growth rate was studied. The objective of the present study is to investigate the effect of specimen thickness on the fatigue crack growth behavior at various stress intensity factor ranges and also the variation of material restance to fatigue crack growth. The fatigue crack growth resistance was treated as a spatial stochastic process, which varies randomly on the crack path, Compact tension specimens with a LT orientation for structural steel were used. All testing was done at a constant stress intensity level. The experimental data were analyzed for the size effect to determine the Weibull distributions of the material resistance.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.15 no.1
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• pp.96-126
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• 2002

In the course of screening natural extracts for hair growth, we found that the extract of dried root of Sophora flavescens has the prominent hair growth promoting effect. After topical application of Sophora flavescens extract to the back of C57BL/6 mice, the earlier conversion of telogen-to-anagen phase was induced. In addition, the Sophora flavescens extract revealed to possess potent inhibitory effect on $5{\alpha}$-reductase Ⅰ and Ⅱ activity. The growth of dermal papilla cells and mouse vibrissae hair follicle cultured in vitro, however, was not affected by Sophora flavescens extract treatment. RT-PCR analysis showed that Sophora flavescens extract induced mRNA levels of growth factors such as insulin-like growth factor-Ⅰ and keratinocyte growth factor in dermal papilla cells, suggesting hair growth promoting effect of Sophora flavescens extract is mediated through inhibition of $5{\alpha}$-reductase type Ⅱ activity and the regulation of growth factors in dermal papilla cells. Furthermore, Sophora flavescens extract also showed anti-bacterial effect on Propionibacterium acnes. These results suggest that Sophora flavescens can be used as a potent treatment agent for helping hair growth stimulation and acne inhibition.