• Progress in Medical Physics
• /
• v.21 no.3
• /
• pp.253-260
• /
• 2010

Most brachytherapy treatment planning systems employ a dosimetry formalism based on the AAPM TG-43 report which does not appropriately consider tissue heterogeneity. In this study we aimed to set up a simple Monte Carlo-based intracavitary high-dose-rate brachytherapy (IC-HDRB) plan verification platform, focusing particularly on the robustness of the direct Monte Carlo dose calculation using material and density information derived from CT images. CT images of slab phantoms and a uterine cervical cancer patient were used for brachytherapy plans based on the Plato (Nucletron, Netherlands) brachytherapy planning system. Monte Carlo simulations were implemented using the parameters from the Plato system and compared with the EBT film dosimetry and conventional dose computations. EGSnrc based DOSXYZnrc code was used for Monte Carlo simulations. Each $^{192}Ir$ source of the afterloader was approximately modeled as a parallel-piped shape inside the converted CT data set whose voxel size was $2{\times}2{\times}2\;mm^3$. Bracytherapy dose calculations based on the TG-43 showed good agreement with the Monte Carlo results in a homogeneous media whose density was close to water, but there were significant errors in high-density materials. For a patient case, A and B point dose differences were less than 3%, while the mean dose discrepancy was as much as 5%. Conventional dose computation methods might underdose the targets by not accounting for the effects of high-density materials. The proposed platform was shown to be feasible and to have good dose calculation accuracy. One should be careful when confirming the plan using a conventional brachytherapy dose computation method, and moreover, an independent dose verification system as developed in this study might be helpful.

• Journal of Aquaculture
• /
• v.9 no.2
• /
• pp.159-166
• /
• 1996

A feeding experiment was conducted using juvenile Korean rockfish (Sebastes schlegeli) to evaluate supplemental vitamin premix in a test diet containing fish meal as protein source for nutritional study. Four vitamin premixes were prepared by adjusting different quantity and combination of vitamins. Each vitamin premix contained (mg/kg diet) : premix-1 : ascorbic acid, 2666 ; a-tocopheryl acetate, 417 ; thiamin, 60 ; riboflavin, 200 ; pyridoxine, 40 ; niacin, 800 ; Ca-D-pantothenate, 280 ; myo-inositol, 4000 ; D-biotin, 6 ; folic acid, 15 ; p-amino-benjoic acid, 400 ; mennadione, 40 ; A, 16 ; $D_3$, 0.1 ; choline chloride, 8000 ; cyanocobalamin, 0.09 ; premix-2 : ascorbic acid, 270 ; a-tocopheryl acetate, 189 ; thiamin, 13.5 ; riboflavin,, 27 ; pyridoxine, 13.5 ; niacin, 135 ; Ca-D-pantothenate, 135 ; myo-inositol, 135 ; D-biotin, 1. 4 : folic acid, 4.9 ; mennadione, 5.4 : A, 5.4 ; $D_3$, 2.2 ; choline chloride, 3000 ; cyanocobalamin, 0.05 ; premix-3 : ascorbic acid, 570 ; a-tocopheryl acetate, 107 ; thiamin, 20 ; riboflavin, 14.3 ; pyridoxine, 14.3 ; niacin, 71,3 ; Ca-D-pantothenate, 57 ; myo-inositol, 456 ; D-biotin, 0.7 ; folic acid, 2.9 ; p-aminobenjoic acid, 285 ; mennadione, 5.7 ; A, 5.7 ; $D_3$, 1.1 ; choline chloride, 1500 ; cyanocobalamin, 0.03 ; premix-4 : ascorbic acid, 190 : a-tocopheryl acetate, 36 ; thiamin, 6.7 ; riboflavin, 4.8 ; pyridoxine, 4.8 ; niacin, 23.8 ; Ca-D-pantothenate, 19 ; myo-inositol, 152 ; D-biotin,0.2 ; folic acid, 1 ; p-aminobenjoic acid, 95 ; mennadione, 1.9 ; A, 1.9 ; $D_3$, 0.4 ; choline chloride, 500 ; cyanocobalamin, 0.01. Triplicate groups of the 50 fish averaging 4.25 g were fed one of four isoproteic ($47\%$) and isolipidic ($9\%$) experimental diets to satiation twice a day for 10 weeks. Weight gain, feed efficiency and protein retention in fish fed the diet with vitamin premix-1 were significantly higher than those in fish fed the other diets (P<0.05). Moisture, protein and lipid contents of muscle and whole body were not affected by different dietary vitamin premix (P>0,05). These results indicate that premix-1 can be used to adequate supplemental vitamin premix in test diet containing fish meal as protein source for juvenile Korean rockfish.

• The Journal of Korean Academy of Prosthodontics
• /
• v.52 no.2
• /
• pp.113-120
• /
• 2014

This study will evaluate the effectiveness of various pretreatments when fiber-reinforced composite (FRC) post is bonded to endodontically treated tooth with resin cement. Materials and methods: Canal shaping of FRC post (DT Light post, Size 3, Bisco Inc., Schaumburg, IL, USA) was performed on endodontically treated premolars at 1.5 cm from CEJ. Samples were divided into 6 groups of surface treatment after conventional washing and drying to the canal. Total of 24 FRC posts were randomly divided into 6 groups of surface treatment as follows: Group C: control - no surface treatment, Group A: airborne-particle abrasion (Cojet sand, 3M ESPE), Group S: silanization (Bis-silane, Bisco Inc.), Group M: universal primer (Monobond-plus primer, Ivoclar Vivadent Inc.), Group AS: silanization after airborne-particle abrasion, Group AM: universal primer treatment after airborne-particle abrasion. Pretreated fiber posts were cemented with resin-based luting material and photo-polymerized and cut to the thickness of 1 mm. Push-out test using a universal testing machine was performed. Bonding failure strength of post dislodgement was measured and the type of bonding failure was classified. Data were analyzed with Kruskal-Wallis test and multiple comparison groups were performed using Tukey HSD value of rank test (${\alpha}=0.05$). Results: Group AS showed significantly highest bonding strength. Group S, group AM, group A, and group M showed lower bonding strength in order. The control group showed the lowest bonding strength. Conclusion: Surface treatment with silane showed to be the most effective of the surface pretreatment methods for cementation of FRC post. Surface treatment with universal primer showed no significant difference compared with no surface treatment group as for bonding strength.

• Journal of Korean Home Economics Education Association
• /
• v.31 no.2
• /
• pp.95-111
• /
• 2019

The purpose of this study is to analyze the structure and contents of the articles in the Journal of Korean Home Economics Education Association to review the research trends during the last decade since 2009. In total, 354 articles from 10 volumes, 40 journal books, were analyzed. This amount to 42.3% of total articles in the JKHEEA for the past 30 years. The results showed that the number of articles in the journal continuously decreased by approximately 5 articles each year. More than half of articles were co-authored as a joint-research between professors and teachers or graduate students. The numbers of pages, tables, figures, and references vary greatly among of the articles published in the JKHEEA. The reviewers and authors would need to check if the pages, tables/figures, or references are indispensable, especially in case there are extremely large number of them. Even though survey research with students as participants is still the most common types of research among recent articles, its percentage is decreasing and diverse research methods such as the analysis of textbook or curriculum literature are being used. Also, research integrating the pedagogy and educational content, and in turn developing and evaluating educational programs is increasing, which indicates that the journal identity has become better-defined. It is advisable that authors select the key words that are more relevant to the title, purpose, and research questions. It is expected that the journal revises the publication regulations so that the issues discussed in this study may be reflected.

• Computational Structural Engineering
• /
• v.7 no.3
• /
• pp.95-103
• /
• 1994

The safety related components in the nuclear power plant should be designed to withstand the seismic load. Among these components the integrity of reactor internals under earthquake load is important in stand points of safety and economics, because these are classified to Seismic Class I components. So far the modelling methods of reactor internals have been investigated by many authors. In this paper, the dynamic behaviour of reactor internals of Yong Gwang 1&2 nuclear power plants under SSE(Safe Shutdown Earthquake) load is analyzed by using of the simpled Global Beam Model. For this, as a first step, the characteristic analysis of reactor internal components are performed by using of the finite element code ANSYS. And the Global Beam Model for reactor internals which includes beam elements, nonlinear impact springs which have gaps in upper and lower positions, and hydrodynamical couplings which simulate the fluid-filled cylinders of reactor vessel and core barrel structures is established. And for the exciting external force the response spectrum which is applied to reactor support is converted to the time history input. With this excitation and the model the dynamic behaviour of reactor internals is obtained. As the results, the structural integrity of reactor internal components under seismic excitation is verified and the input for the detailed duel assembly series model could be obtained. And the simplicity and effectiveness of Global Beam Model and the economics of the explicit Runge-Kutta-Gills algorithm in impact problem of high frequency interface components are confirmed.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
• /
• 2003.12a
• /
• pp.543-559
• /
• 2003

The information drive of the businesses requires new alternatives in that the promotion of business efficiency through information process technologies ends up conflicting with the protection of information human rights on laborers’side. Nevertheless, apathy on information protection has a tendency to be distorted by the efficiency of the businesses. Should the capital and mass media warn economic red lights, political circles with uneasiness would ignore the significance of information protection on the behalf of business efficiency. Therefore, the importance of information protection is considered a smaller interest than that of business efficiency with the infringements of human rights on laborers’side arising. Informatization of the businesses along with the developments of information process technologies has enabled the management to monitor and control the behaviors of laborers. This new problem needs to establish both information protection mechanism and institutional devices to regulate those labor controls. The security of business activity without human rights infringement warrants both basic rights of the public and spirit of the Constitution. The study suggests the establishment and revision of laws suitable to the period of information human rights. On top of that, the establishment of the basic law for information protection of individuals’with the common principle that integrates the related laws and rules on-off line is needed. This will warrant the active participation of labor unions and create specific alternatives for information protection.

• Journal of Applied Biological Chemistry
• /
• v.64 no.4
• /
• pp.421-431
• /
• 2021

It has been suggested that some toothpastes have the potential to promote hair growth. However, there was no scientific verification on the hair growth effect of toothpaste and no scientific report on major active ingredients in toothpaste. In this work, toothpaste and its constituents were applied topically over the shaved skin of C57BL/6 mice and evaluated. Results indicated that toothpaste showed hair growth effect. Also, the effect of toothpaste constituents on the proliferation rate of keratinocyte cells was investigated. The mixture solution of 𝛼-tocopherol acetate, l-menthol, and stevioside, each of that was known to promote hair growth and other toothpaste constituents were applied topically on mouse skin. When the mixture solution was included, hair growth effect was observed in mice. Transcriptome analysis was performed using the dorsal epidermis of mice from the group treated with toothpaste, the mixture which are presumed to be active ingredients for hair growth, and from mice used for the control group. As a result of analyzing the genes whose expression was significantly changed in each treatment group, the gene patterns of the two groups were very similar. Also, when functional genomic analysis was performed, genes with functions related to hair growth regulation showed a high extent of the change in both groups. Hair growth-related genes whose expression was changed in both groups included keratin, keratin-related proteins, forkhead box, and sonic hedgehog. Therefore, the hair growth effect of toothpaste is thought to be due to the effect of a mixture of 𝛼-tocopherol acetate, l-menthol, and stevioside.

• Journal of Korean Classical Literature and Education
• /
• no.39
• /
• pp.67-97
• /
• 2018

The purpose of this paper is to clarify that the difference between past and present response to the same folktales relates to other cultural contexts. This is part of the research to explore the methodology of folktale education for intergenerational communication. This paper compares the reaction on a storytelling site from the past to with current college students' impressions. On the older site, the storyteller and audience sympathized with the characters of . Additionally, they were pleased with the conclusion that the characters would get a new family. However, university students thought that the characters of was incompetent. University students evaluated their success as depending on other people, accidentally obtained. Such a difference was closely related to the culture of the group intervening when understanding the folktale. In the past culture, empathy, interdependence, and unity were considered important values. Meanwhile, the new-generation culture emphasized the individual's free will and rights, diligence, and honesty. As a result, due to differences in cultural context, university students distorted , and communication with past generations was also broken. In this paper, we study the folktale education methodology that helps communication between generations. this paper proposes that It is more suitable to tile the story instead of for university students. That is because resembles the cultural context of university students. At the same time, it has the same problem as .

• Asia Marketing Journal
• /
• v.14 no.1
• /
• pp.83-98
• /
• 2012

In a market where new and used cars are competing with each other, we would run the risk of obtaining biased estimates of cross elasticity between them if we focus on only new cars or on only used cars. Unfortunately, most of previous studies on the automobile industry have focused on only new car models without taking into account the effect of used cars' pricing policy on new cars' market shares and vice versa, resulting in inadequate prediction of reactive pricing in response to competitors' rebate or price discount. However, there are some exceptions. Purohit (1992) and Sullivan (1990) looked into both new and used car markets at the same time to examine the effect of new car model launching on the used car prices. But their studies have some limitations in that they employed the average used car prices reported in NADA Used Car Guide instead of actual transaction prices. Some of the conflicting results may be due to this problem in the data. Park (1998) recognized this problem and used the actual prices in his study. His work is notable in that he investigated the qualitative effect of new car model launching on the pricing policy of the used car in terms of reinforcement of brand equity. The current work also used the actual price like Park (1998) but the quantitative aspect of competitive price promotion between new and used cars of the same model was explored. In this study, I develop a model that assumes that the cross elasticity between new and used cars of the same model is higher than those amongst new cars and used cars of the different model. Specifically, I apply the nested logit model that assumes the car model choice at the first stage and the choice between new and used cars at the second stage. This proposed model is compared to the IIA (Independence of Irrelevant Alternatives) model that assumes that there is no decision hierarchy but that new and used cars of the different model are all substitutable at the first stage. The data for this study are drawn from Power Information Network (PIN), an affiliate of J.D. Power and Associates. PIN collects sales transaction data from a sample of dealerships in the major metropolitan areas in the U.S. These are retail transactions, i.e., sales or leases to final consumers, excluding fleet sales and including both new car and used car sales. Each observation in the PIN database contains the transaction date, the manufacturer, model year, make, model, trim and other car information, the transaction price, consumer rebates, the interest rate, term, amount financed (when the vehicle is financed or leased), etc. I used data for the compact cars sold during the period January 2009- June 2009. The new and used cars of the top nine selling models are included in the study: Mazda 3, Honda Civic, Chevrolet Cobalt, Toyota Corolla, Hyundai Elantra, Ford Focus, Volkswagen Jetta, Nissan Sentra, and Kia Spectra. These models in the study accounted for 87% of category unit sales. Empirical application of the nested logit model showed that the proposed model outperformed the IIA (Independence of Irrelevant Alternatives) model in both calibration and holdout samples. The other comparison model that assumes choice between new and used cars at the first stage and car model choice at the second stage turned out to be mis-specfied since the dissimilarity parameter (i.e., inclusive or categroy value parameter) was estimated to be greater than 1. Post hoc analysis based on estimated parameters was conducted employing the modified Lanczo's iterative method. This method is intuitively appealing. For example, suppose a new car offers a certain amount of rebate and gains market share at first. In response to this rebate, a used car of the same model keeps decreasing price until it regains the lost market share to maintain the status quo. The new car settle down to a lowered market share due to the used car's reaction. The method enables us to find the amount of price discount to main the status quo and equilibrium market shares of the new and used cars. In the first simulation, I used Jetta as a focal brand to see how its new and used cars set prices, rebates or APR interactively assuming that reactive cars respond to price promotion to maintain the status quo. The simulation results showed that the IIA model underestimates cross elasticities, resulting in suggesting less aggressive used car price discount in response to new cars' rebate than the proposed nested logit model. In the second simulation, I used Elantra to reconfirm the result for Jetta and came to the same conclusion. In the third simulation, I had Corolla offer $1,000 rebate to see what could be the best response for Elantra's new and used cars. Interestingly, Elantra's used car could maintain the status quo by offering lower price discount ($160) than the new car ($205). In the future research, we might want to explore the plausibility of the alternative nested logit model. For example, the NUB model that assumes choice between new and used cars at the first stage and brand choice at the second stage could be a possibility even though it was rejected in the current study because of mis-specification (A dissimilarity parameter turned out to be higher than 1). The NUB model may have been rejected due to true mis-specification or data structure transmitted from a typical car dealership. In a typical car dealership, both new and used cars of the same model are displayed. Because of this fact, the BNU model that assumes brand choice at the first stage and choice between new and used cars at the second stage may have been favored in the current study since customers first choose a dealership (brand) then choose between new and used cars given this market environment. However, suppose there are dealerships that carry both new and used cars of various models, then the NUB model might fit the data as well as the BNU model. Which model is a better description of the data is an empirical question. In addition, it would be interesting to test a probabilistic mixture model of the BNU and NUB on a new data set.

• Journal of Intelligence and Information Systems
• /
• v.19 no.1
• /
• pp.95-110
• /
• 2013

Recently, the amount of unstructured data being generated through a variety of social media has been increasing rapidly, resulting in the increasing need to collect, store, search for, analyze, and visualize this data. This kind of data cannot be handled appropriately by using the traditional methodologies usually used for analyzing structured data because of its vast volume and unstructured nature. In this situation, many attempts are being made to analyze unstructured data such as text files and log files through various commercial or noncommercial analytical tools. Among the various contemporary issues dealt with in the literature of unstructured text data analysis, the concepts and techniques of opinion mining have been attracting much attention from pioneer researchers and business practitioners. Opinion mining or sentiment analysis refers to a series of processes that analyze participants' opinions, sentiments, evaluations, attitudes, and emotions about selected products, services, organizations, social issues, and so on. In other words, many attempts based on various opinion mining techniques are being made to resolve complicated issues that could not have otherwise been solved by existing traditional approaches. One of the most representative attempts using the opinion mining technique may be the recent research that proposed an intelligent model for predicting the direction of the stock index. This model works mainly on the basis of opinions extracted from an overwhelming number of economic news repots. News content published on various media is obviously a traditional example of unstructured text data. Every day, a large volume of new content is created, digitalized, and subsequently distributed to us via online or offline channels. Many studies have revealed that we make better decisions on political, economic, and social issues by analyzing news and other related information. In this sense, we expect to predict the fluctuation of stock markets partly by analyzing the relationship between economic news reports and the pattern of stock prices. So far, in the literature on opinion mining, most studies including ours have utilized a sentiment dictionary to elicit sentiment polarity or sentiment value from a large number of documents. A sentiment dictionary consists of pairs of selected words and their sentiment values. Sentiment classifiers refer to the dictionary to formulate the sentiment polarity of words, sentences in a document, and the whole document. However, most traditional approaches have common limitations in that they do not consider the flexibility of sentiment polarity, that is, the sentiment polarity or sentiment value of a word is fixed and cannot be changed in a traditional sentiment dictionary. In the real world, however, the sentiment polarity of a word can vary depending on the time, situation, and purpose of the analysis. It can also be contradictory in nature. The flexibility of sentiment polarity motivated us to conduct this study. In this paper, we have stated that sentiment polarity should be assigned, not merely on the basis of the inherent meaning of a word but on the basis of its ad hoc meaning within a particular context. To implement our idea, we presented an intelligent investment decision-support model based on opinion mining that performs the scrapping and parsing of massive volumes of economic news on the web, tags sentiment words, classifies sentiment polarity of the news, and finally predicts the direction of the next day's stock index. In addition, we applied a domain-specific sentiment dictionary instead of a general purpose one to classify each piece of news as either positive or negative. For the purpose of performance evaluation, we performed intensive experiments and investigated the prediction accuracy of our model. For the experiments to predict the direction of the stock index, we gathered and analyzed 1,072 articles about stock markets published by "M" and "E" media between July 2011 and September 2011.