• Journal of Preventive Medicine and Public Health
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• v.39 no.6
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• pp.485-492
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• 2006

Objectives : To measure the distribution of electrocardiographic ST segment depression, and evaluate its relationships with cardiovascular risk factors based on the cross-sectional studies within a rural Korean community Methods : This study analyzed 1,343 persons, over 40 years old, who participated in a baseline survey during 2002-2005; the exclusion criteria included: a past history of myocardial infarction and angina pectoris, and specific conduction abnormalities. A Standard 12 leads ECG was recorded using an FCP-2101 (Fukuda Denshi Co.). The ST segment depression was retrospectively measured by a physician, according to the Minnesota code classification. Results : ST segment depression was found in 3.6 and 6.4% of male and female participants, respectively. After adjusting for age, gender, smoking, physical activity and obesity differences, high blood pressure showed significant relations with ST depression in females (male ORs=2.67, 95% CI=0.85-8.50; female ORs=2.62, 95% CI=1.29-5.32) Conclusions : As an ischemic ECG sign, ST depression was related to hypertension in female participants. This relationship remained significant, even after cases with left ventricular hypertrophy were removed.

• Journal of Life Science
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• v.18 no.11
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• pp.1617-1624
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• 2008

Chitin and chitosan, which is deacetylated form of chitin, are one of the most abundant biomass on the earth. They showed various biological activities including antimicrobial activity, heavy metal chelating, immune system activation, and have very diverse applications in food, pharmaceutical, medicinal, and environmental industry. There have been reported many chitin/chitosan-hydrolyzing enzymes, their structures and genes from three domains, archaea, bacteria, and eukarya. Carbohydrate hydrolyzing enzymes are classified in CAZy (Carbohydrate Active Enzymes) database according to their amino acid sequence similarity. Interestingly, chitinases and chitosanases are classified in various glycosyl hydrolase(GH) families, GH2, GH5, GH7, GH8, GH18, GH19, GH20, GH46, GH48, GH73, GH75, GH80, GH84, and GH85. Here, we review characteristics and structures of chitin/chitosan hydrolyzing enzymes according to glycosyl hydrolase families in order to provide information about gene mining.

• Journal of the Korean Dietetic Association
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• v.7 no.3
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• pp.295-306
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• 2001

The purpose of the study was to develop an internet nutritional counseling program using an expert system to assist obese people to lose weight through behavior modification. The internet counseling program for weight loss was developed by the accumulation of knowledge dealing with eating habits and exercising behaviors in expert system tool, Knowledge Engineering Agent (KEA) by a dietitian without any help of computer expert. To accumulate knowledge into KEA, survey was performed in 150 obese people, dietitians reviewed and consulted each survey case, and the consulted contents were learned and accumulated into KEA. Survey questionnaire was the same as that of the internet consulting program, and it included general characteristics, dietary habits, lifestyle, and exercise patterns related to obesity. Also, the dietitian selected proper factors inferred from the survey questionnaire of each case, and added the conclusions for them. Conclusions were made for helping clients to correct bad eating behaviors and accumulate good behaviors to lose weight. Counseling was divided into two parts; a two-week part and a daily part. Two-week counseling was performed based on 4 step questionnaires, and daily counseling was done for daily food consumption and physical activity. When clients answered survey questionnaires in a counseling internet program, the recommendations on how to eat, to exercise and to deal with stress in a real time for each case, was given. In conclusion, a counseling internet program for weight reduction can be used to give advices how to deal with obesity in a man-to-man way in a real time using KEA where nutritional knowledge based on behavior modification for weight loss was accumulated.

• Korean Journal of Social Welfare
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• v.46
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• pp.377-403
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• 2001

The purpose of this study is to measure the social worker's knowledge about facts on aging and attitude toward the elderly between Korea and Japan. and to find out the variables that may influence their attitude. Four hundred and sixty two social workers working in nursing homes were given the questionnaire containing the Kyung San Facts on Aging Quiz to measure the level of knowledge about aging and Yoon (1988)'s scale to find the direction of attitude toward the elderly. The results of this study are analyzed as follows: (1) The Korean social worker's level of knowledge about aging was 63.0%, which was lower than Japanese social worker's level (67.6%). (2) Using 5 points scale. mean of the Korean social worker's attitude toward the elderly was 2.2 (44.8%), which was significantly different from the Japanese social worker's attitude 3.2 (63.4%). (3) Using multiple regression analysis, the social worker's level of knowledge about aging was the most significant predictor to explain the social worker's attitude toward the elderly. The other variables that are also statistically significant predictors of the social workers' attitude were country, personal experience with the elderly. and voluntary experience for the elderly. Especially the significant predictors to explain the Korean social workers' attitude were their levels of knowledge about aging. age, and classification of social worker license. On the other hand. the significant predictors to explain the Japanese social workers' attitude were their levels of knowledge about aging and periods of activity, Based on the research results, implications for practice and education methods for making social workers' attitude toward the elderly more positive are also suggested.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.10
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• pp.40-45
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• 2009

In this paper, we introduce a mobile-type tiny sensor device that can classify the activities of daily living based on the state-dependent motion analysis using a 3-axial accelerometer in real-time. The device consists of an accelerometer, GPS module, 32bit micro-controller for sensor data processing and activity classification, and a bluetooth module for wireless data communication. The size of device is 50*47*14(mm) and lasts about 10 hours in operation-mode and 160 hours in stand-by mode. Up to now, the device can recognize three user activities ("Upright", "Running", "Walking") based on the decision tree. This tree is constructed by the pre-learning process to activities of subjects. The accuracy rate of recognizing activities is over 90% for various subjects.

• Journal of The Korean Association For Science Education
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• v.19 no.4
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• pp.560-569
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• 1999

This study was conducted with two science classes of the 8th grade students in Seoul during 4 weeks. The numbers of students in the classes were 37 and 38, and they were taught for 12 class hours. Questions obtained for 12 class hours from 75 students were analyzed and grouped into patterns. All together 1.108 questions from the students were classified into six categories: 'No Connection' (7%). 'Contradiction' (3%), 'Recall' (23%), 'Reframe' (40%), 'Application' (18%), and 'Extension' (9%). Irrelevant questions to learning and questions of false proposition were classified into 'No Connection' and 'Contradiction', respectively. Questions repeating what were already explained were grouped into 'Recall'. Those requiring other examples and/or additional explanations were grouped into 'Reframe'. Those requiring practical applications and/or explanations for other concrete facts were grouped into 'Application'. Finally. Questions for higher and/or other concepts were grouped into 'Extension'. We also discussed educational implications of the above categorized questions in this study.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.7
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• pp.3021-3027
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• 2014

Background: The multidrug resistance 1 gene (MDR1) C3435T polymorphism has been demonstrated to influence the P-glycoprotein (P-gp) activity level which is related to inflammation and carcinogenesis. This meta-analysis was performed to estimate the association between the MDR1 C3435T polymorphism and the risk of gastric cancer (GC) and peptic ulcer (PU). Materials and Methods: A literature search was conducted with PubMed, Embase and the Cochrane library up to November 2013. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. Data were analyzed using Review Manager (Version 5.2), and Stata package (version 12.0) for estimation of publication bias. Results: Six case-control studies were included, of which five were for GC and two for PU. Overall, no evidence was found for any association between the MDR1 C3435T polymorphism and the susceptibility to GC and PU. In the stratified analysis by H. pylori infection status, stage and histology classification of GC, and PU type, there was still no significant association between them. Conclusions: This meta-analysis suggested that the MDR1 C3435T polymorphism is not associated with susceptibility to GC and PU. Large and well-designed studies are warranted to validate our findings.

• Journal of the Korean School Mathematics Society
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• v.23 no.1
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• pp.1-23
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• 2020

The purpose of this study is to theorize the conceptualizations of educational interest focused on mathematics learning and to investigate the directions of increasing students' interest in mathematics. This study reconsiders the interest theory of Dewey, classification of situational interest and individual interest, and the experimental research of mathematical interest. The conceptions of educational interest on mathematics learning are as follows. First, mathematical interest refers to the total experiences that an individual feels the need to engage in mathematical objects. Second, making a distinction between situational interest and individual interest is effective in suggesting educational interventions in order to improve students' learning interest. Third, interest is characterized by affect, cognition, and value. According to the conceptions of educational interest on mathematics learning, this study suggests that we should develop or construct good mathematics tasks to increase students' interest in mathematics. Good mathematics tasks consider both students' understanding and students' affection and provide activity's goals or values to be noticed by students.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.422-426
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• 2006

Productivity is one of the very important index that measures efficiency of production activities in industry, enterprises and the building industry as well. None the less, the concept of construction productivity is not so clear that productivity management in the building industry have been performed by experience or intuition, productivity related data have not been analyzed through effective productivity management, because structured definition and classification of factors influencing construction productivity did not exist so that it has not been known what information explain each of them. In order to solve this problem, at first construction productivity and factors influencing construction productivity are defined and classified into three groups; (1)Project factors influencing construction productivity (2)Management factors influencing construction productivity (3)Activity factors influencing construction productivity. To find out relation between construction productivity and factors influencing construction productivity, a questionnaire survey for construction managers in the building industry has been conducted.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.585-590
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• 2006

Although motion estimation Plays an important role in digital video compression, complex search procedure is required to find an optimal motion vector. To reduce the search time, the search start point should be set up properly md efficient search pattern is needed. If the overall motion of the torrent block can be predicted, motion estimation can be performed efficiently. In this paper. block types are classified using candidate vectors and the motion activity of the block is predicted which leads to the search start point close to the optimal motion vector. The proposed method proves to be about 1.5$\sim$7 times faster than existing methods with about 0.02$\sim$0.2(dB) improvement of picture quality in images with large movements.