• Journal of the Institute of Electronics Engineers of Korea SD
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• v.37 no.10
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• pp.1-10
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• 2000

A rigorous modeling of ultra-low energy implantation is becoming increasingly more important as devices shrink to deep submicron dimensions. In this paper, we have developed an efficient three-dimensional Monte Carlo ion implantation model based on a modified Binary Collision Approximation(BCA). To this purpose, the modified electronic stopping model and the multi-body collision model have been taken into account in this simulator. The dopant and damage profiles show very good agreement with SIMS(Secondary Ion Mass Spectroscopy) data and RBS(Rutherford Backscattering Spectroscopy) data, respectively. Moreover, the ion distribution replica method has been implemented into the model to get a computational efficiency in a 3D simulation, and we have calculated the 3D Monte Carlo simulation into the topographically complex structure.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.307-318
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• 2021

The objective of this study is to analyze the performance of Islamic banks with the Maqashid Shariah approach. The analysis technique used is the Simple Additive Weighting Method (SAW) to solve multi-attribute decision problems. The sampling technique used was purposive sampling while the data came from the annual report of each bank. The results showed that the BTPN Shariah (BTPNS) and Bank Muamalat Indonesia (BMI) are ranked first and second respectively on the Maqashid Shariah Index (MSI) with values of 0.265429 and 0.237110 respectively. Panin Dubai Shariah Bank (PDSB) ranked third with an MSI value of 0.180733, followed by BCA Shariah which ranked fourth with an MSI value of 0.151299. BRI Shariah ranked fifth with an MSI value of 0.128606, followed by BNI Shariah which ranked sixth with an MSI value of 0.124661. Bank Mega Shariah ranked last with an MSI value of 0.087068. Furthermore, there is a relationship (correlation) between ROE, ROA, and OEOI and MSI since each data has a value of 0.000, 0.000, 0.050, and 0.001 respectively, which is smaller than the significance value of 0.05. On the other hand, NPF, TPF, and Asset Growth Rates do not correlate with the MSI since each data has a value of 0.051, 0.252, and 0.215 respectively which is greater than the significance value of 0.05.

• Journal of Integrative Natural Science
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• v.15 no.1
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• pp.9-18
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• 2022

This research examines the power of bootstrap two-sample test, and compares it with the powers of two-sample t-test and Wilcoxon rank sum test, through simulation. For simulation work, a positively skewed and heavy tailed distribution was selected as a population distribution, the chi-square distributions with three degrees of freedom, χ²₃. For two independent samples, the fist sample was selected from χ²₃. The second sample was selected independently from the same χ²₃ as the first sample, and calculated d+ax for each sampled value x, a randomly selected value from χ²₃. The d in d+ax has from 0 to 5 by 0.5 interval, and the a has from 1.0 to 1.5 by 0.1 interval. The powers of three methods were evaluated for the sample sizes 10,20,30,40,50. The null hypothesis was the two population medians being equal for Bootstrap two-sample test and Wilcoxon rank sum test, and the two population means being equal for the two-sample t-test. The powers were obtained using r program language; wilcox.test() in r base package for Wilcoxon rank sum test, t.test() in r base package for the two-sample t-test, boot.two.bca() in r wBoot pacakge for the bootstrap two-sample test. Simulation results show that the power of Wilcoxon rank sum test is the best for all 330 (n,a,d) combinations and the power of two-sample t-test comes next, and the power of bootstrap two-sample comes last. As the results, it can be recommended to use the classic inference methods if there are widely accepted and used methods, in terms of time, costs, sometimes power.

• Journal of Microbiology and Biotechnology
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• v.33 no.5
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• pp.607-620
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• 2023

The biocontrol approach using beneficial microorganisms to control crop diseases is becoming an essential alternative to chemical fungicides. Therefore, new and efficient biocontrol agents (BCA) are needed. In this study, a rhizospheric actinomycete isolate showed unique and promising antagonistic activity against three of the most common phytopathogenic fungi, Fusarium oxysporum MH105, Rhizoctonia solani To18, and Alternaria brassicicola CBS107. Identification of the antagonistic strain, which was performed according to spore morphology and cell wall chemotype, suggested that it belongs to the Nocardiopsaceae. Furthermore, cultural, physiological, and biochemical characteristics, together with phylogenetic analysis of the 16S rRNA gene (OP869859.1), indicated the identity of this strain to Nocardiopsis alba. The cell-free filtrate (CFF) of the strain was evaluated for its antifungal potency, and the resultant inhibition zone diameters ranged from 17.0 ± 0.92 to 19.5 ± 0.28 mm for the tested fungal species. Additionally, the CFF was evaluated in vitro to control Fusarium wilt disease in Vicia faba using the spraying method under greenhouse conditions, and the results showed marked differences in virulence between the control and treatment plants, indicating the biocontrol efficacy of this actinomycete. A promising plant-growth promoting (PGP) ability in seed germination and seedling growth of V. faba was also recorded in vitro for the CFF, which displayed PGP traits of phosphate solubilization (48 mg/100 ml) as well as production of indole acetic acid (34 ㎍/ml) and ammonia (20 ㎍/ml). This study provided scientific validation that the new rhizobacterium Nocardiopsis alba strain BH35 could be further utilized in bioformulation and possesses biocontrol and plant growth-promoting capabilities.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.397-397
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• 2021

본 연구의 목적은 비매개변수적 리샘플링 기법을 이용하여 농업용 저수지 유입 설계홍수량의 구간을 추정하는 기법을 제안하는 데 있다. 본 연구는 설계홍수량을 점 추정하여 안전계수(safety factor)를 적용하는 기존 방법에 대한 대안을 제시하고자 한다. 설계홍수량의 구간 추정을 수행하기 위해 부트스트랩 기법(bootstrap technique)을 사용하였다. 부트스트랩 기법을 이용하여 95% 신뢰수준에 해당하는 신뢰구간을 추정하였다. 본 연구의 공간적인 범위는 남한의 30개 농업용 저수지이며, 시간적인 범위는 과거 기간(2015s: 1986-2015)과 미래기간(2040s: 2011-2040, 2070s: 2041-2070, 2100s: 2071-2100)을 설정하였다. 본 연구에서는 200년 빈도, 24시간 지속기간을 대표적인 결과로 선정하여 분석하였다. 빈도분석은 GEV 분포를 사용하였고, L-moment 방법을 이용하여 매개변수를 추정하였다. 설계홍수량은 HEC-1 모형을 이용하여 산정하였다. 최종적으로 설계홍수량 구간 추정한 결과를 기존의 점 추정한 뒤 안전계수를 적용한 기존 방법과 비교하였다. 97.5th BCa percentile 기준으로 상대적인 변화를 비교해보면, 미래로 갈수록 구간 추정으로 산정한 설계홍수량이 점차 증가하는 것으로 도출되었다. 한강 및 금강 유역에 위치한 농업용 저수지의 설계홍수량이 낙동강 유역에 비해 상대적으로 큰 변화를 보여주었다. 몇몇 농업용 저수지에 대해서 2040s 기간에 다소 감소하기도 하였으나 2070s 기간 이후에 다시 증가하는 결과를 보여주었다. 낙동강 유역의 위치는 농업용 저수지의 설계홍수량은 미래로 갈수록 크게 증가하지 않는 경향을 보여주었다. 본 연구는 설계홍수량을 추정하는 데 있어 결정론적인 방법에서 더 나아가 자료의 통계적인 특성을 고려하여 구간 추정을 수행하는 방법론을 제공할 수 있을 것으로 사료된다.

• Korean Journal of Clinical Pharmacy
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• v.21 no.3
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• pp.256-269
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• 2011

Omega-3 fatty acids are a specific type of unsaturated fat that the body cannot manufacture on its own, so they must be obtained from food which is essential fatty acids (EFAs). Omega-3 fatty acids consist of three types which are a-Linolenic Acid (ALA), Eicosapentaenoic (ELA), and Docosahexaenoic Acid (DHA). Especially, EFAs help to prevent skin and hair drying, acne, eczema, prevention from allergies, brittle nails, rashes, and tiny lumps. The aim of this study is to investigate improvement and protection for hair damaged by chemical treatment with omega-3 formulated shampoo. We selected virgin hair sample and divided into two groups for bleaching once and three times and then damaged hair by changing the number of hair bleaching (twice with interval of 15 minutes). Each bleached hair was treated by five different kinds of shampoo (Control, Horse shampoo, DHA shampoo, EPA shampoo, Omega-3 shampoo mixture). Apart from this, EPA/DHA 2, 5, 8, 10 and 12% shampoo were prepared and treated to hair for comparing rate of progress in damaged hair. To quantify improved condition of damaged hair, we performed Scanning Electron Microscope (SEM) for ultrastructure of damaged hair fraction, measurement of thickness change and BCA Protein Assay for recovery rate of damaged hair. The moisture in hair was measured by Thermal analysis machine. In results, we observed the particle of hair surface damaged by bleaching treatment were well improved with treatment with EPA and DHA shampoo. Also, quantity of protein was lowered with higher concentration of EPA & DHA i.e., 8 and 12 % then compared with horse oil shampoo in three times treatment group. It shows that bleached hair have been recovered by treating rapidly and get protective coat. In conclusion, EPA and DHA shampoo improved damaged hair, especially with EPA / DHA 12% shampoo. Also, EPA shampoo could protect the damaged hair depending on increasing concentration of EPA. Therefore, we conclude omega-3 shampoo could make damaged hair protect and get healthy hair environment.

• Archives of Plastic Surgery
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• v.34 no.6
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• pp.679-684
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• 2007

Purpose: DMH(1,2-dimethylhydrazine) has been known to induce vascular neoplasm such as malignant endothelioma in animal experiment, through induction of abnormal proliferation of HUVECs. In our previous studies, 11 types of PKC isoenzymes were determined by RT-PCR and the expression of $PKC{\alpha}$, and ${\mu}$ was more prominent than other PKC isoenzymes in the DMH-treated group. However, this result was not based on objective assessment. In this study, we further evaluated the role of $PKC{\alpha}$ on the DMH-induced abnormal proliferation of HUVECs by two different methods to identify its presence with high relevance in objective view. $PKC{\mu}$ will be investigated in further study. Methods: The study was conducted with the cultured HUVECs group(control) and the $0.75{\times}10^{-9}M$ DMH-treated group. After processing protein extraction in 0 and 24 hour, extracted protein was treated of quantitative test through BCA protein assay. In the western blot analysis, electrophoresis was performed in the order of gel preparation, sample preparation, and gel running. Electrotransfer to nitrocellulose membrane and reaction with antibody were done. Detection of $PKC{\alpha}$ was achieved through "Gel Image Analysis System". In the fluorescence immunocytochemical analysis, the grading of radiance of the intracellular $PKC{\alpha}$ particles was detected with confocal microscope after treating with primary and fluorescent secondary antibody in 0 and 24 hours. Results: The Western blot analysis showed increased $PKC{\alpha}$ expression from the specimen obtained in 24 hour of the DMH treatment group when compared to those in control group. Under confocal fluorescence microscope, the emitting radiance in the DMH treated group was brighter at 24 hours as well. Conclusion: We believe that $PKC{\alpha}$ plays a role in DMH-induced abnormal proliferation of the vascular endothelium, which may provide insights in understanding the vascular neoplasm.

• The Korean Journal of Mycology
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• v.47 no.4
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• pp.417-425
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• 2019

Biocontrol agents (BCAs) are widely used to protect plants from diverse biotic and abiotic stresses in agricultural and ecological fields. Among the various microbes, many subspecies of the gram-positive genus, Bacillus, have been successfully industrialized as eco-friendly biological pesticides and fertilizers. In the current study, we demonstrated that Bacillus thuringiensis C25 exhibited antagonistic effects on the mycelial growth of Rosellinia necatrix, a fungal phytopathogen. Scanning electron microscopy analysis revealed that B. thuringiensis C25 degraded the cell wall structures of R. necatrix mycelia. In the functional genomic analysis of B. thuringiensis C25, we annotated 5,683 genes and selected the gene sets that potentially encoded fungal cell wall degrading enzymes (CWDEs). The growth inhibition effects on R. necatrix were highly correlated with the transcriptional activity of the mycelial cell wall degrading genes of B. thuringiensis C25. The transcript levels of CWDEs, including CshiA, B, and Glycos_transf_2 genes in B. thuringiensis C25, were enhanced following co-cultivation with R. necatrix. In conclusion, our study suggested that B. thuringiensis C25 could serve as a suitable candidate for controlling R. necatrix and could facilitate elucidating the mechanisms underlying the antifungal activities of BCAs against phytopathogens.

• Reproductive and Developmental Biology
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• v.36 no.3
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• pp.219-223
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• 2012

The present study was performed to identify the relationship between plasminogen activator (PA) and Heat Shock Protein-90 (HSP-90) in porcine uterus tissues during the estrous cycle. Porcine uterus tissues were obtained from preovulatory (Pre-Ov), post-ovulatory (Post-Ov) and early to mid-luteal (Early-mid L) stages. The protein was extracted from uterus tissue by using M-PER Mammalian Protein Extraction Reagent. Proteins were refined by RIPA Buffer and quantified by BCA methods. As results, t-PA expression was significantly (p<0.05) higher from pre-ovulatory(Epithelium tissue: $29,067{\mu}g/{\mu}l$, Myometrium tissue: $30,797{\mu}g/{\mu}l$) compared to the post-ovulatory stage(Epithelium tissue: $54,357{\mu}g/{\mu}l$, Myometrium tissue: $53,270{\mu}g/{\mu}l$) and early to mid-luteal stage(Epithelium tissue: $42,380{\mu}g/{\mu}l$, Myometrium tissue: $43,139{\mu}g/{\mu}l$). On the other hand, the uPA expression indicated higher from early to mid-luteal stage (Epithelium tissue: $0.02198{\mu}g/{\mu}l$, Myometrium tissue: $0.02412{\mu}g/{\mu}l$) than pre-ovulatory stage (Epithelium tissue: $0.01577{\mu}g/{\mu}l$, Myometrium tissue: $0.01531{\mu}g/{\mu}l$) and post-ovulatory stage(Epithelium tissue: $0.01414{\mu}g/{\mu}l$, Myometrium tissue: $0.01429{\mu}g/{\mu}l$). However, expression of u-PA did not differ from each estrous cycle in the epithelium tissue and myometrium tissue(p<0.05). Expression of HSP-90 was differ t-PA and u-PA from pre-ovulatory in Epithelium tissue($25,423{\mu}g/{\mu}l$) and early to mid-luteal stage in epithelium tissue($177,922{\mu}g/{\mu}l$) and myometrium tissue($26,664{\mu}g/{\mu}l$). These results suggest that HSP-90 and u-PA were related with change of uterus cycle according to the reformation of the tissues in porcine uterus.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.63-72
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• 2018

Purpose - This work analyzes, in detail, the specification of vector error correction model (VECM) and thus examines the relationships and impact among seven economic variables for USA - balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), a measure of the money supply that includes total currency as well as large time deposits, institutional money market funds, short-term repurchase agreements and other larger liquid assets (M3), real rate of interest (IR_REAL) and household credits (LOAN). In particular, we search for the main explanatory variables that have an effect on stock and real estate market, respectively and investigate the causal and dynamic associations between them. Research design, data, and methodology - We perform the time series vector error correction model to infer the dynamic relationships among seven variables above. This work employs the conventional augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root techniques to test for stationarity among seven variables under consideration, and Johansen cointegration test to specify the order or the number of cointegration relationship. Granger causality test is exploited to inspect for causal relationship and, at the same time, impulse response function and variance decomposition analysis are checked for both short-run and long-run association among the seven variables by EViews 9.0. The underlying model was analyzed by using 108 realizations from Q1 1990 to Q4 2016 for USA. Results - The results show that all the seven variables for USA have one unit root and they are cointegrated with at most five and three cointegrating equation for USA. The vector error correction model expresses a long-run relationship among variables. Both IR_REAL and M3 may influence real estate market, and GDP does stock market in USA. On the other hand, GDP, IR_REAL, M3, STOCK and LOAN may be considered as causal factors to affect real estate market. Conclusions - The findings indicate that both stock market and real estate market can be modelled as vector error correction specification for USA. In addition, we can detect causal relationships among variables and compare dynamic differences between countries in terms of stock market and real estate market.