• Research in Community and Public Health Nursing
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• v.13 no.4
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• pp.679-688
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• 2002

Purpose: The purpose of this study was to examine the relationships among self-care, self-care agency, self-efficacy, and quality of life in type II diabetic patients registered at a public health center. Method: The study subjects were 128 type II diabetic patients who were living in G city. The data were collected from March 2001 to February 2002. The instruments used for this study were the self-care scale developed by Jeung(1997) and designed by Park (1984) based on the original scale, the self-care agency scale developed by So (1992), the self-efficacy scale developed by a Jeung (1997) and designed by Paek (1996) based on the original scale, and the quality of life scale developed by Ro (1988). The data were analyzed using descriptive statistics, pearson correlation coefficient, and stepwise multiple regression. Results: 1. The relationships among self-care, self-care agency, self-efficacy, and quality of life were significant. Self-care was significantly related to self-care agency (r=.609. p<.01), self-efficacy (r=.763. p<.01), and quality of life (r=.493. p<.01). 2. The stepwise multiple regression analysis was performed to identify factors influencing quality of life of the subjects. The most powerful predictor was self-care agency (48.4%). The combination of self-care, complication status, age, education level, and self-efficacy accounted for 88.7% of the variance of quality of life in type II diabetic patients. Conclusion: The results suggest that self-care, self-care agency, self-efficacy, and quality of life are important variables for development of nursing intervention programs for patients with diabetes.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.7
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• pp.855-862
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• 2010

Among the known interferon-induced antiviral mechanisms, the Mx pathway is one of the most powerful pathways. The Mx protein has direct antiviral activity and inhibits a wide range of viruses by blocking an early stage of the viral replication cycle. Cloning, characterization, and expression of Mx in vivo and in vitro have been conducted. The chicken Mx gene spans 21 kb and is made up of 14 exons and 13 introns, of which the promoter region was analyzed. The real-time PCR results showed that Mx expression was increased in chicken embryo fibroblasts (CEF) after 12- and 24-h induction with polyI: C. Induction of Mx expression by poly I: C in vivo revealed tissue-specific patterns among the chicken tissues tested. A trace expression of Mx was detected in healthy chicken liver tissues from adult chickens without inducement; the expression levels in the liver, heart, and gizzard were higher than in the muscle and kidney. This is the first report to demonstrate the expression of a glutathione-S-transferase-tagged-Mx fusion protein of 75 KDa, as well as the biological activity tested by SDS-PAGE and western blotting.

• Journal of Educational Research in Mathematics
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• v.21 no.1
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• pp.17-32
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• 2011

This study investigated pre-service teachers' understanding of statistical sampling. The researchers categorized major topics related to sampling into representativeness of samples, sampling variability, and sampling distribution, and selected concepts connected to each topic. Findings on this study are as follows: Even though most of the pre-service teachers considered the random sampling bringing unbiased outcomes as a proper sampling method, only 64% of them recognized that sample is a quasi-proportional, small-scale version of population; Few pre-service teachers understood that more important is the size of sample, not the portion of sample to population, and half of them appreciated that the number of sampling has a powerful effect on drawing of reliable results than the size of sample; Few pre-service teachers understood that sampling distribute is irrelevant to the shape of population and has a symmetrical bell-shape.

• Journal of Internet Computing and Services
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• v.6 no.3
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• pp.159-170
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• 2005

OC-SVM(One Class Support Vector Machine) avoids solving a full density estimation problem, and instead focuses on a simpler task, estimating quantiles of a data distribution, i.e. its support. OC-SVM seeks to estimate regions where most of data resides and represents the regions as a function of the support vectors, Although OC-SVM is powerful method for data description, it is difficult to incorporate human subjective importance into its estimation process, In order to integrate the importance of each point into the OC-SVM process, we propose a fuzzy version of OC-SVM. In FOC-SVM (Fuzzy One-Class Support Vector Machine), we do not equally treat data points and instead weight data points according to the importance measure of the corresponding objects. That is, we scale the kernel feature vector according to the importance measure of the object so that a kernel feature vector of a less important object should contribute less to the detection process of OC-SVM. We demonstrate the performance of our algorithm on several synthesized data sets, Experimental results showed the promising results.

• Research in Community and Public Health Nursing
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• v.14 no.4
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• pp.657-666
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• 2003

Purpose; This study was conducted to investigate the relationship between self-efficacy, family support and health promotion behavior of the elderly in a community. Method: The sample consisted of 208 elderly and data was collected from November 18 to December 21, 2002. The instrument of this study was a structured questionnaire including health promoting behaviors, self-efficacy, family support, general characteristics. Analysis of the data was done by use of descriptive statistics, t or F, Pearson Correlation Coefficient, Stepwise multiple regression. Results: 1. The general characteristics related to health promoting behavior were gender, family structure, education level and monthly pocket money. 2. The general characteristics related to self efficacy were gender, age, family structure, education level, religion and monthly pocket money. 3. The general characteristics did not affect family support. 4. Health promoting behavior score was the highest in the interpersonal support (2.72) and in order was nutrition(2.65), stress management(2.31), self actualization(2.30), exercise(2.05), health responsibility(1.86). 5. There was a significantly high correlation between health promoting behavior and self efficacy(r= .605, p= .000), and family support(r= .500, p= .000) and between self-efficacy and family support were correlated relatively high(r= .498, p= .000) 6. Stepwise multiple regression analysis revealed that the most powerful predictor of health promotion behavior in elderly was self-efficacy (39.6%). A combination of self-efficacy, family support, monthly pocket money, education level and present illness status explained 48.5% of the variance for health promoting behavior. In conclusion, the results of this study showed that self-efficacy and family support are very important variables in explaining the health promoting behaviors in elderly. Therefore, these variables should be considered in nursing intervention development and education, especially, self-efficacy improving programs that considered exercise and health responsibility are expected to effect the health promoting behavior in elderly.

• Environmental Mutagens and Carcinogens
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• v.26 no.3
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• pp.69-76
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• 2006

2,3,7,8-Tetrachlorodibenzo-$\rho$-dioxin(TCDD) is a ubiquitous, persistent environmental contaminant and the most powerful carcinogen categorized by IARC. Although the mechanism of carcinogenesis by TCDD is poorly understood, several studies have shown that the skin is one of target organs far TCDD. In this study, we investigated the neoplastic transformation of human keratinocyte-derived cell line, HaCaT, by chemical transformation method using N-methyl-N'-nitro-N-nitrorsoguanidine(MNNG) and TCDD. We found that subsequent exposure to TCDD for 3 weeks after initial exposure to MNNG markedly induced transformed cells. It was suggested that TCDD can act as a potent promoter in HaCaT cells. Furthermore, these transformed cells showed morphological alternations in soft agar and increased telomerase activity. Therefore, the TCDD treatment of HaCaT cells by initiated with MNNG could promote neoplastic transformation without stimulation by exogenous growth factors. As a result, TCDD had a strong potency as a promoter in nontumorigenic immortalized human epidermal keratinocytes.

• The Journal of Information Technology
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• v.3 no.4
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• pp.13-21
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• 2000

The thesis is for the analysis of the current trend adapted for the method of the test information exchange in the environment of the internal circuit in case of PCB design, The design process is most powerful for improving test characteristics among the entire process of PCB. The PCB is more and more difficult to test as the processes proceed because the nodes become more and more complicated. The data exchange for improving PCB test performance should be easy in order to provide more reliable products in the shorter period. The design technology oriented for the test makes the PCB and its components tested reliably and quickly so that it can effectively improve the quality of the PCB and largely reduce the time and cost of the test development, In addition it can make the substantial standardization In improve the speed of the repeated test and treatment so that the Period of development can be shorter. Also, it helps to effectively detect the potential defects of the products, so that highly reliable PCB can be produced.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.335-344
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• 2016

It is known that power analysis is one of the most powerful attack in side channel analysis. Among power analysis single trace attack is widely studied recently since it uses one power consumption trace to recover secret key of public cryptosystem. Recently Sim et al. proposed new exponentiation algorithm for RSA cryptosystem with higher attack complexity to prevent single trace attack. In this paper we analyze the vulnerability of exponentiation algorithm described by Sim et al. Sim et al. applied message blinding and random exponentiation splitting method on $2^t-ary$ for higher attack complexity. However we can reveal private key using information exposed during pre-computation generation. Also we describe modified algorithm that provides higher attack complexity on collision attack. Proposed algorithm minimized the reuse of value that are used during exponentiation to provide security under single collision attack.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1725-1731
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• 2004

The use of gestures provides an attractive alternate to cumbersome interface devices for human-computer interaction. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures. The most important issues in gesture recognition are the simplification of algorithm and the reduction of processing time. The mathematical morphology based on geometrical set theory is best used to perform the processing. A key idea of proposed algorithm in this paper is to apply morphological shape decomposition. The primitive elements extracted to a hand gesture include in very important information on the directivity of the hand gestures. Based on this characteristic, we proposed the morphological gesture recognition algorithm using feature vectors calculated to lines connecting the center points of a main-primitive element and sub-primitive elements. Through the experiment, we demonstrated the efficiency of proposed algorithm. Coupling natural interactions such as hand gesture with an appropriately designed interface is a valuable and powerful component in the building of TV switch navigating and video contents browsing system.

• Journal of Information Processing Systems
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• v.9 no.1
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• pp.117-140
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• 2013

Hindi is the most widely spoken language in India, with more than 300 million speakers. As there is no separation between the characters of texts written in Hindi as there is in English, the Optical Character Recognition (OCR) systems developed for the Hindi language carry a very poor recognition rate. In this paper we propose an OCR for printed Hindi text in Devanagari script, using Artificial Neural Network (ANN), which improves its efficiency. One of the major reasons for the poor recognition rate is error in character segmentation. The presence of touching characters in the scanned documents further complicates the segmentation process, creating a major problem when designing an effective character segmentation technique. Preprocessing, character segmentation, feature extraction, and finally, classification and recognition are the major steps which are followed by a general OCR. The preprocessing tasks considered in the paper are conversion of gray scaled images to binary images, image rectification, and segmentation of the document's textual contents into paragraphs, lines, words, and then at the level of basic symbols. The basic symbols, obtained as the fundamental unit from the segmentation process, are recognized by the neural classifier. In this work, three feature extraction techniques-: histogram of projection based on mean distance, histogram of projection based on pixel value, and vertical zero crossing, have been used to improve the rate of recognition. These feature extraction techniques are powerful enough to extract features of even distorted characters/symbols. For development of the neural classifier, a back-propagation neural network with two hidden layers is used. The classifier is trained and tested for printed Hindi texts. A performance of approximately 90% correct recognition rate is achieved.