• Journal of Korean Traditional Oncology
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• v.15 no.1
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• pp.89-103
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• 2010

Background: The greatest threats to the lives of cancer patients consist of both complications due to metastasis and the recurrence of original cancer. However, the existing forms of chemotherapy do not prevent these adverse events adequately because they suppress the patients' immune systems. A new methodology is required. Aim: To provide further validation for cancer immunotherapy (involving the use of traditional oriental herbal medicine). Method: Related articles, in both Korean and English were reviewed. Results: Cancer immunotherapy involving the use of traditional oriental herbal medicine can create inhospitable conditions for cancer cells and strengthen patients' immunological functioning. These effects are a demonstration of the principles of "strengthening healthy qi (扶正)" and "eliminating pathogens (祛邪)". As a result, immunotherapy protects against metastasis and original cancer recurrence by preventing the growth of cancer cells. This is very similar to the concept of a cancer dormancy therapy. Conclusion: It is strongly urged by the authors that more advanced studies be carried out on this promising therapy in the future in order to improve patients' quality of life and increase their survival time.

• Journal of Wellbeing Management and Applied Psychology
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• v.5 no.3
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• pp.19-25
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• 2022

Purpose: As interest in odor increases, odor complaints are also rapidly increasing. Traditional markets are not included in malodor control areas and are not easy to manage, so measure the odor substances generated in traditional markets and analyze the cause of high concentration points. Research design, data and methodology: The average value was presented by continuously measuring the combined odor, TVOC, hydrogen sulfide, and ammonia for 5 minutes at 100m intervals in Joong-ang traditional market, Jayu traditional market, Doraemi traditional market, and Sundae Alley in Wonju, Gangwon-do. In each market, up to the third highest concentration point for each measurement item was marked and analyzed. Results: The Joong-ang traditional market, Doraemi traditional market, and Sundae Alley had high readings at the intersection. The Jayu traditional market had high measurements around restaurants and clothing stores. In addition, the concentration of complex malodors was also high at the points where the hydrogen sulfide concentration was measured. Conclusions: Odor generated in traditional markets is an important indicator for merchants and consumers. Therefore, in future studies, analysis that can supplement the limitations of measurement data and seasonal effects is needed.

• The Journal of Economics, Marketing and Management
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• v.11 no.4
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• pp.53-63
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• 2023

Purpose: The purpose of this study is to examine the research trends in the papers published by Korean researchers related to traditional markets, to check what topics have been studied, and to make various suggestions for research directions and effective ways to revitalize traditional markets. Research design, data and methodology: To this end, this study conducted word frequency analysis, co-occurrence frequency analysis, BERTopic, LDA, dynamic topic modeling and OLS regression analysis using Python 3.7 on the English abstracts of a total of 502 papers extracted through ScienceON. Results: As a result of word frequency analysis and co-occurrence frequency analysis, it was found that studies related to traditional markets have been conducted not only on factors related to customers, but also on traditional market merchants and government policies, and the degree of service, quality, and satisfaction perceived by customers using traditional markets. Through BERTopic and LDA, three topics such as 'Traditional market safety management' were identified, and among them, it was found that 'Traditional market safety management' is relatively less attention by researchers. Conclusions: The results of this study suggest that future research on the revitalization of traditional markets should be conducted from a specific consulting perspective along with the establishment of various data, a causal model study from various perspectives such as the characteristics of merchants as well as consumers, and an integrated and convergent approach to policy formulation by the government and local governments.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.272-284
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• 2009

In this paper, we proposed the methodology for analyzing online customer reviews by using text mining technologies. We introduced marketing segmentation into the methodology because it would be efficient and effective to analyze the online customers by grouping them into similar online customers that might include similar opinions and experiences of the customers. That is, the methodology uses categorization and information extraction functions among text mining technologies, matched up with the concept of market segmentation. In particular, the methodology also uses cross-tabulations analysis function which is a kind of traditional statistics analysis functions to derive rigorous results of the analysis. In order to confirm the validity of the methodology, we actually analyzed online customer reviews related with tourism by using the methodology.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.2
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• pp.208-216
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• 2014

The purpose of this study was the optimization of mixing ratio of rice flour, potato starch and soybean flour baking domestic rice cookies with nuts. Response surface methodology, with a central composite design comprising 5 levels and 3 variables, was used to identify the optimal combination of rice flour ($X_1$), potato starch ($X_2$) and soybean flour ($X_3$). The physical properties of 16 samples were analyzed, including color L (p<0.001), color a, color b (p<0.05), spreadability (p<0.05) and hardness (p<0.05). In sensory evaluations, color (p<0.05), flavor, taste (p<0.05), crunch (p<0.05) and overall quality (p<0.05) were differed significantly among the samples. The optimal compositional ratios were 78.90 g rice flour, 18.96 g potato starch, and 15.90 g the soybean flour in 420 g total weight.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.2
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• pp.18-26
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• 2005

The balanced scorecard(BSC) overcomes the limit of traditional financial statement that focuses on only financial performance. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and loaming and growth. However, traditional BSC does not consider evaluating the difference between the results measured by BSC. By using relatively small number of inputs and outputs In comparing decision-making units, data envelopment analysis(DEA) can aggregate multiple performance measures. In this research, we propose a methodology named CDB(Combined DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives. CDB uses KPI of cause-and-effect relationship on BSC as inputs and outputs of DEA method. In addition, this research proposes a method of converting the KPI of BSC to the input and output variables of DEA, and enhancing discrimination power using the limit number of variables. We illustrate the methodology by giving an example of evaluating aquisition-unit efficiency in a supply chain.

• Journal of Acupuncture Research
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• v.26 no.5
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• pp.105-116
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• 2009

The use of acupuncutre has been increased worldwide, and large number of researches on acupuncture with improved quality has been conducted. Nevertheless, results of acupuncture treatment in those research tend to show mixed results, while many patients continuously seek acupuncture treatment as an adjuvant or alternatives for their health. Researchers and clinicians relevant to acupuncture are faced at this problematic discrepancy between the results of acupuncture in clinical trial including an randomized controlled trial and those of day-to-day clinical practice. The methodology of pragmatic clinical trial seems to be one of the promising research tools administering this problem especially in the area of complementary alternative medicine and traditional Korean medicine. In this study we first reviewed articles on the pragmatic clinical trial, summarized the essential concepts of 'explanatory' clinical trial 'pragmatic' clinical trial and then presented recent recommendations and arguments on this issue. We also analyzed and compared two similar pragmatic clinical trial protocols to show the readers the complexity of research designing. We hope more researchers in traditional Korean medicine will be interested in the methodology of pragmatic clinical trials and this study will serve to produce various high-quality clinical trials.

• Structural Engineering and Mechanics
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• v.65 no.6
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• pp.751-760
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• 2018

Damages in concrete structures due to aging and other factors could be a serious and immense matter. Making the best selection of the most viable and practical repairing and strengthening techniques are relatively difficult tasks using traditional methods of structural analyses. This is due to the fact that the traditional methods used for assessing aging structure are not fully capable when considering the randomness in strength, loads and cost. This paper presents a reliability-based methodology for assessing reinforced concrete members. The methodology of this study is based on probabilistic analysis, using statistics of the random variables in the performance function equations. Principles of reliability updating are used in the assessment process, as new information is taken into account and combined with prior probabilistic models. The methodology can result in a reliability index ${\beta}$ that can be used to assess the structural component by comparing its value with a standard value. In addition, these methods result in partial safety factor values that can be used for the purpose of strengthening the R/C elements of the existing structure. Calculations and computations of the reliability indices and the partial safety factors values are conducted using the First-order Reliability Method and Monte Carlo simulation.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.161-168
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• 2020

Over the last half-century, computer science has revolutionarily changed the landscape of humanities research. This digital shift in research methodology has reached from the brainstorming process to preserving, constructing, collecting, visualizing, and even analyzing materials. Such transformation has brought about the birth of the new field of study: Digital Humanities (DH). DH undeniably has saved much of the physical chores and provided a new angle to interpret the text, thereby making its meteoric rise as a promising future of the humanities. Based on such innovation, electronic circuitry can seem to replace the imagination that detects relationships and significances of research data with ever-improving interfaces. However, despite hitherto technological development, the thousands-year-old essence of traditional liberal arts-human creativity-remains the heart of humanities research and always will. This paper starts by proving this proposition in the way of comparing the old and new liberal arts research methods, focusing on literary studies. Meanwhile, it thoroughly investigates how digitalized bibliographies, search engines, databases, and digital projects provide the most useful data preservation and virtual experience of browsing in the library, along with their limitations due to the intrinsic quality of humanities research data. Also, it probes the differences between traditional and digital data analysis in current methods of literary studies, ultimately presenting the ideal direction for humanities development in the era of digital convergence.

• Asia pacific journal of information systems
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• v.16 no.2
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• pp.47-67
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• 2006

This study takes a quantitative approach to the influence of TTF (Task-Technology Fit) on the individual's use and performance of GSS (Group Support Systems), while traditional studies on TTF have taken the experimental approach to explore the characteristic fit between diverse tasks and technologies. We have the following two research inquires: Are the IS use and performance maximized when information technologies are provided by the exact amount of demand?; and, Does TTF at the high level between task and IT produce better IS use (or performance) than at the low level? To investigate these issues, we use the polynomial regression analysis and response surface methodology of Edwards (1993) instead of traditional direct measure of TTF. This method measures the degree of desired and actual level of information technologies in conducting tasks, and traces the dynamic changes of dependent variables (IS use and performance) according to the variances of each independent variable. Our results conclude that user's IS use and performance are maximized when information technologies are actually provided by no more or less than the desired level. We also found that TTF at the high level promotes better IS use and performance than TTF at the low level.