• Journal of Pharmaceutical Investigation
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• v.32 no.2
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• pp.127-133
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• 2002

Levosulpiride is the 1evo-enantiomer form of racemic sulpiride, a benzamide derivative selectively inhibiting dopaminergic $D_2$ receptors at the trigger zone both in the central nervous system and in the gastrointestinal tract. The purpose of the present study was to evaluate the bioequiva1ence of two levosulpiride tablets, Levopride (SK Pharmaceutical Co., Ltd.) and Levopid (Dae Won Pharmaceutical Co., Ltd.), according to the guidelines of Korea Food and Drug Administration (KFDA). The levosulpiride release from the two levosulpiride tablets in vitro was tested using KP VII Apparatus II method with various different kinds of dissolution media (pH 1.2, 4.0, 6.8 buffer solution and water). Twenty eight normal male volunteers, $23.82{\pm}3.26$ years in age and $69.13{\pm}8.58$ kg in body weight, were divided into two groups and a randomized $2{\times}2$ cross-over study was employed. After one tablet containing 25 mg of levosulpiride was orally administered, blood was taken at predetermined time intervals and the concentrations of levosulpiride in serum were determined using HPLC method with fluorescence detector. The dissolution profiles of two levosulpiride tablets were very similar at all dissolution media. Besides, the pharmacokinetic parameters such as $AUC_t,\;C_{max}\;and\;T_{max}$ were calculated and ANOVA test was utilized for the statistical analysis of the parameters using logarithmically transformed $AUC_t\;and\;C_{max}$ and untransformed $T_{max}$. The results showed that the differences in $AUC_t,\;C_{max}\;and\;T_{max}$ between two tablets based on the Levopride were -1.17%, 1.20% and -1.09%, respectively. There were no sequence effects between two tablets in these parameters. The 90% confidence intervals using logarithmically transformed data were within the acceptance range of log(0.8) to log(1.25) $(e.g.,\;log(0.93){\sim}log(1.07)\;and\;log(0.90){\sim}log(1.14)\;for\;AUC_t\;and\;C_{max}$, respectively). The 90% confidence interval using untransformed data was within ${\pm}20%$ $(e.g.,\;-19.47{\sim}16.20\;for\;T_{max})$. All parameters met the criteria of KFDA guideline for bioequivalence, indicating that Levopid tablet is bioequivalent to Levopride tablet.

• YAKHAK HOEJI
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• v.52 no.4
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• pp.299-305
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• 2008

Gabapentin, 1-(aminomethyl) cyclohexaneacetic acid, is a amino acid derivative, and is clinically effective in the treatment of neuropathic pain and partial seizures of epilepsy as a complementary therapy. The purpose of the present study was to evaluate the bioequivalence of two gabapentin tablets, $Neurontin^{R}$ tablet 800 mg (Pfizer Pharmaceuticals Co., Ltd.) and Gabapenin tablet 800 mg (Hanmi Pharm. Co., Ltd.), according to the guidelines of the Korea Food and Drug Administration (KFDA). The release of gabapentin from the two gabapentin formulations in vitro was tested using KP VIII Apparatus II method with 0.06 M HCI dissolution media. Twenty six healthy male subjects, $23.85{\pm}2.24$ years in age and $69.40{\pm}11.11$ kg in body weight, were divided into two groups and a randomized $2{\times}2$ crossover study was employed. After a single tablet containing 800 mg as gabapentin was orally administered, blood samples were taken at predetermined time intervals and the concentrations of gabapentin in serum were determined using HPLC with fluorescence detector. The dissolution profiles of two formulations were similar in the tested dissolution media. The pharmacokinetic parameters such as $AUC_{t}$, $C_{max}$ and $T_{max}$ were calculated, and ANOVA test was utilized for the statistical analysis of the parameters using logarithmically transformed $AUC_{t}$, $C_{max}$ and untransformed $T_{max}$. The results showed that the differences between two formulations based on the reference drug, $Neurontin^{R}$, were 1.28%, 0.63% and 0.62% for $AUC_{t}$, $C_{max}$ and $T_{max}$, respectively. There were no sequence effects between two formulations in these parameters. The 90% confidence intervals using logarithmically transformed data were within the acceptance range of log 0.8 to log 1.25 (e.g., $log0.9097{\sim}log1.1598$ and $log0.8919{\sim}log1.1262$ for $AUC_{t}$ and $C_{max}$, respectively). Thus, the criteria of the KFDA bioequivalence guideline were satisfied, indicating Gabapenin tablet 800 mg was bioequivalent to $Neurontin^{R}$ tablet 800 mg.

• Journal of Pharmaceutical Investigation
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• v.31 no.1
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• pp.57-62
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• 2001

Azelastine, a phthalazinone derivative, is an antiallergic agent which demonstrates histamine $H_1-receptor$ antagonist activity and also inhibits histamine release from mast cells following antigen and non-antigen stimuli. Thus, azelastine may be useful in the management of both asthma and allergic disorders. The purpose of the present study was to evaluate the bioequivalence of two azelastine hydrochloride tablets, $Azeptin^{TM}$ (Bu Kwang Pharmaceutical Co., Ltd.) and $Azela^{TM}$ (Kyung Dong Pharmaceutical Co., Ltd.), according to the guidelines of Korea Food and Drug Administration (KFDA). Eighteen normal male volunteers, $22.44{\pm}2.01$ years in age and $61.99{\pm}6.18\;kg$ in body weight, were divided into two groups and a randomized $2{\times}2$ cross-over study was employed. After two tablets containing 1 mg of azelastine hydrochloride per tablet were orally administered, blood was taken at predetermined time intervals and the concentrations of azelastine in serum were determined using HPLC with fluorescence detector. Pharmacokinetic parameters such as $AUC_t$, $C_{max}\;and\;T_{max}$ were calculated and ANOVA test was utilized for the statistical analysis of the parameters. The results showed that the differences in $AUC_t$, $C_{max}\;and\;T_{max}$ between two tablets were -6.45%, -2.60% and -7.14%, respectively, when calculated against the $Azeptin^{TM}$ tablet. The powers $(1-{\beta})$ for $AUC_t\;and\;C_{max}$ were 96.65% and 88.47%, respectively. Minimum detectable differences $({\Delta})$ at ${\alpha}=0.05$ and $1-{\beta}=0.8$ were less than 20% (e.g., 14.40% and 17.65% for $AUC_t\;and\;C_{max}$, respectively). The 90% confidence intervals were within ${\pm}20%$ (e.g., $-14.87{\sim}1.97$ and $-12.92{\sim}7.72$ for $AUC_t\;and\;C_{max}$, respectively). Two parameters met the criteria of KFDA for bioequivalence, indicating that $Azela^{TM]$ tablet is bioequivalent to $Azeptin^{TM}$ tablet.

• Journal of Elementary Mathematics Education in Korea
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• v.17 no.2
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• pp.185-205
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• 2013

In this study, to begin with, it was discussed to gather vocabularies which are expected to be vocabularies related to four fundamental rules of arithmetic and classify them according to kinds and groups, to demarcate vocabularies related to four fundamental rules of arithmetic for using in elementary school mathematics which are associated with addition, subtraction, multiplication, and division directly. Next, the basic vocabularies related to four fundamental rules of arithmetic were discussed. At this time, regarding vocabularies related addition, subtraction, multiplication, and division as coming from the verb add, subtract, multiply, divide respectively, vocabularies that contains the stem of each verb were considered as the basic vocabularies related to four fundamental rules of arithmetics. Following it, vocabularies which assist the operation and indicate the result of the operation were included, then, vocabularies related to four fundamental rules of arithmetic for using in elementary school mathematics were demarcated and presented according to the following criteria. First, a newly coined verb or derivative using the noun form of a certain verb as a root should not be used. Second, such vocabularies of which examples do not exist or rarely exist in textbooks/workbooks should not be used, even though they are registered in mathematics glossary book published by ministry of education or Korean dictionary published by the national institute of Korean language. Third, vocabularies which are not replaceable and vocabularies which have some didactical reasons for using them should be used.

• Journal of Food Hygiene and Safety
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• v.33 no.4
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• pp.266-271
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• 2018

The Ministry of Food and Drug Safety (MFDS) is amending its test methods for health-functional foods (dietary food supplements) to establish regulatory standards and specifications in Korea. In this regard, we continue our research on developing analytical methods for the items. Octacosanol is the major component of polycosanol and is a high-molecular-mass primary fatty alcohol, obtained from sugar cane wax. Previous researchers have shown that octacosanol can lower cholesterol and has antiaggregatory properties, cytoprotective uses, and ergogenic properties for human health. Recently, octacosanol products have been actively introduced into the domestic market because of their functional biological activity. We have developed a sensitive and selective test method for octacosanol that the TMS derivatives by means of gas-chromatographic-tandem mass spectrometry (GC-MS). The trimethylsilyl ether derivative of the target analyte showed excellent chromatographic properties. The procedure was validated in the range of $12.5{\sim}200{\mu}g/L$. Standard calibration curves presented linearity with the correlation coefficient ($r^2$) > 0.999, and the limits of detection (LOD) and limits of quantitation (LOQ) were $4.5{\mu}g/L$ and $13.8{\mu}g/L$, respectively. The high recoveries (92.5 to 108.8%) and precision (1.8 to 2.4%) obtained are in accordance with the established validation criteria. Our research can provide scientific evidence to amend the octacosanol test method for the Health-Functional Food Code.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.77-97
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• 2010

Market timing is an investment strategy which is used for obtaining excessive return from financial market. In general, detection of market timing means determining when to buy and sell to get excess return from trading. In many market timing systems, trading rules have been used as an engine to generate signals for trade. On the other hand, some researchers proposed the rough set analysis as a proper tool for market timing because it does not generate a signal for trade when the pattern of the market is uncertain by using the control function. The data for the rough set analysis should be discretized of numeric value because the rough set only accepts categorical data for analysis. Discretization searches for proper "cuts" for numeric data that determine intervals. All values that lie within each interval are transformed into same value. In general, there are four methods for data discretization in rough set analysis including equal frequency scaling, expert's knowledge-based discretization, minimum entropy scaling, and na$\ddot{i}$ve and Boolean reasoning-based discretization. Equal frequency scaling fixes a number of intervals and examines the histogram of each variable, then determines cuts so that approximately the same number of samples fall into each of the intervals. Expert's knowledge-based discretization determines cuts according to knowledge of domain experts through literature review or interview with experts. Minimum entropy scaling implements the algorithm based on recursively partitioning the value set of each variable so that a local measure of entropy is optimized. Na$\ddot{i}$ve and Booleanreasoning-based discretization searches categorical values by using Na$\ddot{i}$ve scaling the data, then finds the optimized dicretization thresholds through Boolean reasoning. Although the rough set analysis is promising for market timing, there is little research on the impact of the various data discretization methods on performance from trading using the rough set analysis. In this study, we compare stock market timing models using rough set analysis with various data discretization methods. The research data used in this study are the KOSPI 200 from May 1996 to October 1998. KOSPI 200 is the underlying index of the KOSPI 200 futures which is the first derivative instrument in the Korean stock market. The KOSPI 200 is a market value weighted index which consists of 200 stocks selected by criteria on liquidity and their status in corresponding industry including manufacturing, construction, communication, electricity and gas, distribution and services, and financing. The total number of samples is 660 trading days. In addition, this study uses popular technical indicators as independent variables. The experimental results show that the most profitable method for the training sample is the na$\ddot{i}$ve and Boolean reasoning but the expert's knowledge-based discretization is the most profitable method for the validation sample. In addition, the expert's knowledge-based discretization produced robust performance for both of training and validation sample. We also compared rough set analysis and decision tree. This study experimented C4.5 for the comparison purpose. The results show that rough set analysis with expert's knowledge-based discretization produced more profitable rules than C4.5.