• Journal of Nutrition and Health
• /
• v.51 no.3
• /
• pp.242-253
• /
• 2018

Purpose: The purpose of the study was to identify the nutrition knowledge, dietary attitudes of guardians, and nutritional status of infants and toddlers as well as the relationships between these variables. Methods: The participants were selected among applicants for low-income family financing provided by the government and included 115 infants and toddlers as well as their guardians. Demographic data, nutrition knowledge, dietary attitudes, and nutrition intakes were assessed using a self-administered questionnaire, biochemical examination, and 24 Hour-Recall method. Results: The score for guardians' nutrition knowledge was 12.97 points of a possible 15, and the score for dietary attitudes was 53.38 points of a possible 75. The nutrition knowledge and dietary attitudes showed significant differences by education level (p < 0.05) and family structure (p < 0.05). Energy intakes of subjects aged 6 ~ 24 months and over 25 months were lower than the DRI for Koreans. The intakes of carbohydrates, protein, and fat of subjects aged 6 ~ 24 months and over 25 months showed no significant differences by level of nutrition knowledge or dietary attitudes. The intake of Ca of subjects aged over 12 months showed significant differences by level of nutrition knowledge (p < 0.05). The intakes of Thiamin of subjects aged 6 ~ 11 months and P of subjects aged over 12 months showed significant differences by level of dietary attitudes (p < 0.05). There was a small positive correlation between education level and nutrition knowledge as well as between dietary attitudes. Nutrition knowledge showed a positive correlation with dietary attitudes. There was a positive correlation between nutrition knowledge and Ca, Riboflavin, as well as Vit C levels. Conclusion: Therefore, it is necessary to consider an educational program for increasing the practical application of knowledge to nutrition management for improvement of nutrition intake in infants and toddlers.

• Korean Journal of Cognitive Science
• /
• v.15 no.2
• /
• pp.1-15
• /
• 2004

The structure of sensibility from motion was developed for the purpose of understanding relationship between sensibilities and physical factors to apply it to dynamic visual display. Seventy adjectives were collected by assessing adequacy to express sensibilities from motion and reporting sensibilities recalled from dynamic displays with achromatic color. Various motion displays with a moving single dot were rated according to the degree of sensibility corresponding to each adjective, on the basis of the Semantic Differential (SD) method. The results of assessment were analyzed by means of the factor analysis to reduce 70 words into 19 fundamental sensibilities from motion. The Multidimensional Scaling (MDS) technique constructed the sensibility space in motion, in which 19 sensibilities were scattered with two dimensions, active-passive and bright-dark Motion types systemically varied in kinematic factors were placed on the two-dimensional space of motion sensibility, in order to analyze important variables affecting sensibility from motion. Patterns of placement indicate that speed and both of cycle and amplitude in trajectories tend to partially determine sensibility. Although color and motion affected sensibility according to the in dimensions, it seemed that combination of motion and color made each have dominant effect individually in a certain sensibility dimension, motion to active-passive and color to bright-dark.

• Journal of Nutrition and Health
• /
• v.44 no.3
• /
• pp.231-242
• /
• 2011

The objective of this study was to investigate the effects of nutrition education based on ubiquitous healthcare (u-health) service on changes in dietary habits, nutrition intake, and risk factors for metabolic syndrome in male workers. In total, 72 male office workers with at least three risk factors of the National Cholesterol Education Program-Adult Treatment Panel III were recruited as subjects. Anthropometric measurements and biochemical analyses were conducted on all subjects. Dietary habits and nutrient intake were determined by a questionnaire using the 24-hour dietary recall method before and after nutrition education. Subjects measured their body composition, blood pressure, and physical activity more than once per week during the 12 weeks using the u-health care equipment and sent these data to a central database system using a personal computer. Individual nutrition counseling was provided four times on the first, fourth, eight, and twelfth weeks. The results showed significant decreases in abdominal circumference, body fat (%), diastolic blood pressure, serum triglycerides, and serum total cholesterol during the 12 weeks. Subjects with more than 12 measurements showed significant reductions in abdominal circumference, body fat (%), serum triglyceride, and serum total cholesterol. Mean intake of dietary fiber, animal calcium, potassium, vitamin C, and folic acid after nutrition education were higher than those before nutrition education. Participants showed significant increases in the frequencies of consuming protein foods (meat, fish, eggs, beans, tofu, etc.) and vegetables. In conclusion, nutrition education through the u-health service resulted in positive effects on the risk factors for metabolic syndrome, nutrient intake, and dietary habits.

• The Korean Journal of Malacology
• /
• v.24 no.1
• /
• pp.73-80
• /
• 2008

Numerous morphological studies on N. samarangae have been well conducted over the last ten years. In this context, we have attemtped to do molecular phylogenetic analysis by using metallothionein (MT) gene from N. samarangae. To this end, we cloned the full length cDNA of MT from cDNA library of N. samarangae. The complete cDNA sequences were obtained from the expressed sequence tag (EST) sequencing project of N. samarangae, The coding region of 195 bp gives an amino acid sequence of 65 residues including methionine. There are 5' (61 bp) and 3' (48 bp) untranslated region at both ends of the Ns-MT cDNA sequence. The combined results from BLAST analyses, multiple sequence alignment and molecular phylogenetic study of Ns-MT cDNA indicate that N. samarangae has similarity to land snails such as Helix pomatia, Helix aspersa and Arianta arbustorum.

• Cartoon and Animation Studies
• /
• s.30
• /
• pp.113-137
• /
• 2013

The accessibility and effect of cartoon on children are very significant. Since cartoon is a medium of conveying information through text and pictures, it has a characteristic of being easily approached by children than any other medium. Its accessibility to children is inevitably more exceptional than any other medium in the sense that it is a method of not only telling or reading stories but also showing stories. The main audience of is children. It has a characteristic of being easily accepted by children since it's mythology seen in cartoon than read in text. However, gods conducts are full of unethical expressions. Sexual expressions of intermarriages between mother and son, between brother and sister and between uncle and niece, as well as extramarital intercourse are very unethical that could have negative effects on children. This study analyzed the unethical expressions of gods that could have negative effects on children at current point in time. Zeus was often unfaithful to his wife with many stories about the children of Zeus that were created from extramarital intercourse. Standard of value on rational decision has been established for adult readers, but children can readily accept things since they lack their own rational decision on what's right and wrong. As an alternative to children's uncritical observatory study, there is a need for author's intervention to help children form desirable values. The purpose of this study is to analyze the sexual expressions of Zeus and gods in that could affect children's social study.

• Journal of Intelligence and Information Systems
• /
• v.17 no.4
• /
• pp.157-173
• /
• 2011

As the Internet use explodes recently, the malicious attacks and hacking for a system connected to network occur frequently. This means the fatal damage can be caused by these intrusions in the government agency, public office, and company operating various systems. For such reasons, there are growing interests and demand about the intrusion detection systems (IDS)-the security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. The intrusion detection models that have been applied in conventional IDS are generally designed by modeling the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. These kinds of intrusion detection models perform well under the normal situations. However, they show poor performance when they meet a new or unknown pattern of the network attacks. For this reason, several recent studies try to adopt various artificial intelligence techniques, which can proactively respond to the unknown threats. Especially, artificial neural networks (ANNs) have popularly been applied in the prior studies because of its superior prediction accuracy. However, ANNs have some intrinsic limitations such as the risk of overfitting, the requirement of the large sample size, and the lack of understanding the prediction process (i.e. black box theory). As a result, the most recent studies on IDS have started to adopt support vector machine (SVM), the classification technique that is more stable and powerful compared to ANNs. SVM is known as a relatively high predictive power and generalization capability. Under this background, this study proposes a novel intelligent intrusion detection model that uses SVM as the classification model in order to improve the predictive ability of IDS. Also, our model is designed to consider the asymmetric error cost by optimizing the classification threshold. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, when considering total cost of misclassification in IDS, it is more reasonable to assign heavier weights on FNE rather than FPE. Therefore, we designed our proposed intrusion detection model to optimize the classification threshold in order to minimize the total misclassification cost. In this case, conventional SVM cannot be applied because it is designed to generate discrete output (i.e. a class). To resolve this problem, we used the revised SVM technique proposed by Platt(2000), which is able to generate the probability estimate. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 1,000 samples from them by using random sampling method. In addition, the SVM model was compared with the logistic regression (LOGIT), decision trees (DT), and ANN to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell 4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on SVM outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that our model reduced the total misclassification cost compared to the ANN-based intrusion detection model. As a result, it is expected that the intrusion detection model proposed in this paper would not only enhance the performance of IDS, but also lead to better management of FNE.

• Journal of Soil and Groundwater Environment
• /
• v.13 no.4
• /
• pp.30-39
• /
• 2008

The uranium removal efficiency of rhizofiltration was investigated in lab scale experiment. Three plants such as sunflower (Helianthus annuus L.), bean (Phaseolus vulgaris var.), and Indian mustard (Brassica juncea (L.) Czern.) were cultivated in artificially contaminated solution by uranium at 30 ${\mu}g$/L and 80 ${\mu}g$/L for 72 hours. The removal efficiencies of three cultivars were calculated from the ICP/MS analysis of uranium mass in solution and the plant. For Helianthus annuus L., more than 80% of initial uranium were removed from the solution and the uranium concentration of residual solution maintained lower than 10 ${\mu}g$/L. For Phaseolus vulgaris var. and Brassica juncea (L.) Czern., their uranium removal efficiencies ranged from 60 to 80%. Even the uranium concentration of solution was higher than 500 ${\mu}g$/L, these cultivars removed more than 70% of initial uranium by rhizofiltration, suggesting that the rhizofiltration has a great capability to remove uranium in the contaminated groundwater. The removal efficiency of rhizofiltration by using Brassica juncea (L.) Czern decreased from 83% to 42% with the increase of pH in solution. From the results of the analysis for the uranium accumulation in plants, 99% of uranium transferred into the plant from solution were accumulated in the root and only 1% of uranium existed in the shoot part (including leaves), suggesting that the cost and the time to treat massive grown plants after the rhizofiltration could be dramatically cut down because only their root parts needs to be treated. Finally, the genuine groundwater having high uranium concentration (81.4 ${\mu}g$/L), sampled from Daejoun area, was used in the experiment. The uranium removal efficiency of Helianthus annuus L. for the real groundwater was higher than 95%, investigating that the rhizofiltration is the very useful method to remediate uranium contaminated groundwater.

• Korean Journal of Soil Science and Fertilizer
• /
• v.45 no.5
• /
• pp.822-828
• /
• 2012

Organic fruit production has increased due to consumer's interest and government's political support for environmentally-friendly agriculture. The aim of this study was to investigate the effects of cover plants on soil microbial community and establish the fruit cultivation method by organic farming techniques. Cover plants used as an organic nutrient source in an apple orchard were rye and barley, the Gramineae and red clover and hairy vetch, the Leguminosae. In the effects of cover plants on the soil chemical characteristics, the soil pH values were higher than that of conventional organic pear orchard. The content of P showed no significant difference between control and cover plant plots. Organic matter level was similar in control and Gramineae cover plant plots, while organic matter content in cover plants belong to Leguminosae was lower than that of control plot. K content was lower in the plots treated with rye and red clover than control plot, while K content in hairy vetch treated plot was higher than control plot. Ca content was lower in control plot than in cover plant treated plots. Concentrations of Mg in the plots treated with barley and hairy vetch was lower than control plot. In August rye and red clover covered soil showed higher bacterial community density than that of control soil and barley treated soil showed highest Actinomycetes community density among treatments. Barley and hairy vetch soils showed higher level of fungi community density than that of control soil in August. In pyrosequencing analysis barley treated soil showed highest distribution ratio of Actinomycetes among treatment. Our findings might be used as basic data for choosing cover plant with effective organic matter decomposition and nutrition supply capacity.

• Radiation Oncology Journal
• /
• v.21 no.4
• /
• pp.291-298
• /
• 2003

Purpose: We report upon a web-based system for Patterns of Care Study (PCS) devised for Korean radiation oncology. This PCS was designed to establish standard tools for clinical quality assurance, to determine basic parameters for radiation oncology processes, to offer a solid system for cooperative clinical studies and a useful standard database for comparisons with other national databases. Materials and Methods: The system consisted of a main server with two back-ups in other locations. The program uses a Linux operating system and a MySQL database. Cancers with high frequencies in radiotherapy departments in Korea from 1998 to 1999 were chosen to have a developmental priority. Results: The web-based clinical PCS .system for radiotherapy in www.pcs.re.kr was developed in early 2003 for cancers of the breast, rectum, esophagus, larynx and lung, and for brain metastasis. The total number of PCS study items exceeded one thousand. Our PCS system features user-friendliness, double entry checking, data security, encryption, hard disc mirroring, double back-up, and statistical analysis. Alphanumeric data can be input as well as image data. In addition, programs were constructed for IRB submission, random sampling of data, and departmental structure. Conclusion: For the first time in the field of PCS, we have developed a web-based system and associated working programs. With this system, we can gather sample data in a short period and thus save, cost, effort and time. Data audits should be peformed to validate input data. We propose that this system should be considered as a standard method for PCS or similar types of data collection systems.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.11 no.1
• /
• pp.60-69
• /
• 2000

Objective：This study was carried out to evaluate the reliability and validity of the Korean form of the Children's Yale-Brown Obsessive Compulsive Scale(CY-BOCS). Method：Forty-two children with obsessive-compulsive disorder(OCD)(31 boys and 11 girls, aged 7 to 18 years) were assessed with CY-BOCS. Interrater agreement was assessed by two raters in subsample(n=20). discriminant and convergent validity were assessed by comparing CY-BOCS scores to Clinical Global Impression-OCD(CGI-OCD), Leyton Obsessional Inventory-Child Version (LOI-CV), State-Trait Anxiety Inventory for Children(STAI-C), and Child Depression Inventory(CDI). Results：Internal consistency was high, measuring 0.86 for the 10 items and total score. The intraclass correlations for the CY-BOCS total, obsession, and compulsion scores were 0.94, 0.94, 0.84, suggesting excellent interrater agreement for subscale and total scores. The CY-BOCS total score showed highest correlation with CGI-OCD(r=0.88), and significant correlation with LOI-CV(r=0.51), Trait Anxiety score(r=0.43), and CDI scores(r=0.49), but it was not correlated with State-Anxiety score(r=0.25). Conclusion：The results of this study indicate that the Korean form of CY-BOCS is a reliable and valid scale for rating obsessive-compulsive symptom severity.