• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.4
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• pp.732-738
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• 2001

This study was attempted to isolate and identify the anticancer compounds from Eucommia ulmoides leaves using a human colon cancer cell line HCT-116. The petroleum ether extracts with anticancer activity was chromatographed on silica gel TLC and finally anticancer compounds was purified by HPLC. Their chemical structures were roughly elucidate by UV-VIS absorption spectral data HPLC elution pattern and FAM/MS spectroscopy. From this study these compounds were suspected to be pheophytin a formed by the removal of $Mg^{2+}$ from chlorophyll a and pyropheophytina formed by the removal of acetate group from pheophytin a respectively. To confirm the anticancer effects against HCT-116 cancer cell petroleum ether extract fractions of column chromatography and fractions separated on TLC were tested. All samples tested including the extract of petroleum ether fractions of column chromatograph and three bands (0.13,0.19,0.25) of TLC appeared to inhibit the growth of HCT-116 cancer cell however especially 0.19 and 0.25 fractions separated on TLC plate revealed the strongest effect. These results suggest that chlorophyll derivatives in Eucommia ulmoides may be potential anticancer agents against a human colon cancer cell HCT-116.

• Korean Journal of Psychosomatic Medicine
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• v.3 no.2
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• pp.207-213
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• 1995

Author reviewed psychodynamics and psychoanalytic treatment of obesity. A variety of psychodynamics and unconscious conflicts have been described in obese patients : eating as a defense against depression, eating as a substitute for maternal love, obese body as a larger penis, and eating as a self-soothing. There was a gross neglect of certain normal parenting roles in obese family. The parenatal superego structure was not as perfectionistic. As with children and other patients with preoedipal pathology, in obese patients the analyst in addition to being transference object is a new and different object who promote healthy maturation. Because of obese parients, in there projective identification, can provoke intense countertransference, the analyst have to consider it. On the other hand, many analysts' countertransferences to superobese patients is that huge person recalls one's own childhood relationship with adults and bring forth a feeling of helplessness.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.9
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• pp.373-378
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• 2019

Since many programming sources are open online, problems with reckless plagiarism and copyrights are occurring. Among them, source codes produced by repeated authors may have unique fingerprints due to their programming characteristics. This paper identifies each author by learning from a Google Code Jam program source using deep neural network. In this case, the original creator's source is to be vectored using a pre-processing instrument such as predictive-based vector or frequency-based approach, TF-IDF, etc. and to identify the original program source by learning by using a deep neural network. In addition a language-independent learning system was constructed using a pre-processing machine and compared with other existing learning methods. Among them, models using TF-IDF and in-depth neural networks were found to perform better than those using other pre-processing or other learning methods.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.294-302
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• 2022

Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

• Korean small business review
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• v.43 no.1
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• pp.131-145
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• 2021

This study aims to diagnose research trends and to deduct implications from meta analysis of entrepreneurship studies in the Asia Pacific Journal of Small Business (APJSB), one of the most well-known academic journals in management and entrepreneurship field in Korea. Frequency and crossover analysis are executed in multi-dimensions by time period, topic, author, research level, data, and methodology by complete enumeration of every published paper for 40 years in APJSB which included core terms of entrepreneurship in its title, abstract, or keywords. From objective and quantitative schematization of research trends and characteristics of entrepreneurship studies, novel improvement plans which are highly applicable in research fields are suggested such as diversification of studies from ecosystem perspective, identification of authors, and standardized system of extended abstract of research papers. Implications and suggestions derived from the results propose future research directions and tasks when entrepreneurship studies have been rapidly increased. Furthermore, the innovation plans of management system of journals and papers are expected to contribute promotion of entire studies by significantly reducing trial and error, and inefficiency in research process.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.311-336
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• 2022

This study analyzed the contents of Goodreads review data, which is a social cataloging service with the participation of book users around the world, to identify the preference factors that affect book users' book recommendations in the library information service environment. To understand user preferences from a more detailed point of view, sub-datasets for each rating group, each book, and each user were constructed in the sample selection process. Stratified sampling was also performed based on the result of topic modeling of review text data to include various topics. As a result, a total of 90 preference factors belonging to 7 categories('Content', 'Character', 'Writing', 'Reading', 'Author', 'Story', 'Form') were identified. Also, the general preference factors revealed according to the ratings, as well as the patterns of preference factors revealed in books and users with clear likes and dislikes were identified. The results of this study are expected to contribute to more sophisticated recommendations in future recommendation systems by identifying specific aspects of user preference factors.

• Journal of Forest and Environmental Science
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• v.26 no.1
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• pp.37-51
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• 2010

A mushroom as a functional food material is being increasingly used in these days. It has been that about 1,500 species of mushrooms grow naturally in Asia. Among them about 700 species are edible, but about 30-50 species are poisonous. Even a poisonous mushroom is a very interesting subject for the dietary life research from biochemical viewpoint due to the fact that any mushroom can be the physiological active material. Not a few identified poisonous materials are being used as research reagents thus far. It is suggested that more useful materials could be obtained by progresses in future researches. The identification of the poisonous ingredient can open up a route for mushroom intoxication cure. It is known that cell destruction and troubles on skin, liver, and kidney troubles can be occurred from mushroom intoxication. Recently the author reported as a collection of treatises regarding anti-tumor substances of mushroom (2005), antibiotic substances of mushroom (2006), living-body functional and control substance (2007), and medicinal mushroom commonly used in Korean herbal medicines (2008). In this sequel, published research data on protoplasm, nerve, stomach and intestines, malodor, and acute pain poison of mushroom are collected and reported.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.232-240
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• 2023

The ecological expression of art in modern society takes the harmonious developmental relationship between man and nature as an element and combines it with the various manifestations of painting as an expression of ecological artistic development. The necessary relationship for the harmonious development of nature is accurately articulated, and the ecological changes in people are expressed in integrated materials that inspire human reflection. In the pursuit of material pleasures, mankind is neglectful and indifferent to the environment. The development of composite painting in art and ecology is a process that more reveres the harmony between man and nature as well as satisfying the creative value of the work. After systematic evaluation and research, people have engaged in various structural forms of composite art painting development in the long history of art development, focusing on the integration of environmental and ecological culture. In the process of nature education going through development, the comprehensive practical development of nature education is enhanced and efforts are made to feel new ecological art ideas and new ways of valuing environmental protection. In this paper, an observational study of eco-art will be carried out, starting from the theory of hierarchical division and analyzing the contradictory relationship between man and nature. Recognize nature, understand it and feel it through eco-art painting. The analysis of the contradictory relationship between man and nature is combined with the identification of various types of information that give value to the environmental protection public, and the combination of ecological painting and nature art to achieve an upgrade of the environmental protection idea of the value of painting. In the development of artistic ecological comprehensive painting, it is necessary to put forward technical requirements and standards that meet the development of modern industry according to the characteristics and methods of ecological painting. The author of this paper discusses the necessity and social value of artistic ecological painting creation from the artist's point of view, expounds the practical achievements of ecological painting from the perspective of the history and present situation of the development of ecological aesthetics at home and abroad, and gives the concept and creative method of contemporary art comprehensive material painting in combination with his own actual situation.

• The korean journal of orthodontics
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• v.28 no.1 s.66
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• pp.75-83
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• 1998

This study was done to recognize the importance of errors in measurements of cephalometric radiograph and to find the anatomical structures those need special care to select as a reference points through the detection of the systematic errors and estimation of random errors. For this purose, 100 cephalometric radiographs were prepared by usual manner and 61 reference points, and 130 measurement variables were established. Measurement errors were detected and estimated by the comparison of the 25 randomly-selected samples for repeated measurements with the main sample. The following results were obtained : 1. In comparison of the repeated measurements, there were statistical significant differences in 24 variables which were 18.4% of 130 total variables. 2. The frequency of the difference in identification of the reference points between the repeated measurements was very high in the root apex of upper incisor(as), the most posterior wall of maxilla(tu), soft tissue nasion(n'), soft tissue frontal eminence(ft), and ad3 in airway. 3. After correction of reference points marking until the level of below 5% significance, the range of random errors were from 0.67 to 1.71 degree or mm. 4. The variable shown the largest random error was the interincisal angle(ILs-ILi). 5. Measurement errors were mainly caused by the lack of precision in anatomic definitions and obscure radiographic image. From the above results, the author could find the high possibility of errors in cephalometric measurements and from this point, we should include error analysis in all the studies concerning measurments. In is essential to have a concept of error analysis not only for the investigator but also for a reader of other articles.

• Archives of design research
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• v.20 no.1 s.69
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• pp.45-54
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• 2007

Recent research regarding local traditions, cultural heritage, and sightseeing resources that represent local characteristics for the purpose of local promotion has been actively advanced. Yangyeongsi in Daegu, South Korea is Doing developed as a core location in order to revitalize regional culture. The unique tradition and functions of this city area have been preserved. Previous research "The Fundamental Research of Revitalization for Yangyeongsi in Daegu for the Local Promotion" undertaken by the author revealed a lack of fundamental research available to establish an understanding of how to revitalize Yangyeongsi. The research methodology designed this by, (1)a site investigation and verification of previous research (2)a deep analysis of Yangyeongsi to uncover potential improvement opportunities (3) assessment of essential elements and appropriate directions for revitalization of the traditional market (4) application of the environment design improvement process to the local design center. The design proposal is that, firstly, space assessment will De improved by the maintenance and expansion of fundamental facilities. Secondly, space application can be maximized by servicing the complex road network through a traffic flow plan. In addition, consideration for the local characteristics will promote unity and identification with the region. Lastly, revitalization and industrialization development of sightseeing resources and secure streets and event spaces will promote enjoyable experiences for visitors. Research results were submitted to the local authority and applied to the future policy plan. Continuous research on revitalization and analysis of the local characteristics are recommended in order to benefit local promotion.