• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.16 no.1
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• pp.54-62
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• 2005

Objective : Attention deficit hyperactivity disorder (ADHD) is the most common childhood psychiatric disorder, affecting $3-5\%$ of school age children. Although the biological basis of ADHD is unknown, family studies provide strong evidence that ADHD has a genetic basis. Recent genetic studies have suggested associations between ADHD and Taq I polymorphism of dopamine beta hydroxylase gene(DBH) . The aim of this study is to test the association between ADHD and Taq I polymorphism of DBH in Korean population. Method : We processed DNA extraction and genotyping for 106 korean children with ADHD and their parents. Genotyping was additionally performed for 212 age and gender matched normal controls. Case-control association study was applied. And we tested the association using the transmission disequilibrium test (TDT) and haplotype-based haplotype relative risk test (HHRR). Results : There were no statistical differences of genotype distributions between cases and controls. However, we did observe preferential transmission of allele Al of DBH Taq T polymorphism in ADHD. Conclusion : On the whole, our results lend credence to the notion that the relationship between ADHD and DBH is complex. The number of cases and informative transmissions were small, therefore it would be premature to make any conclusions from our study concerning the role of DBH in ADHD. Further work is needed to support these findings.

• Korean Journal of Remote Sensing
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• v.33 no.5_2
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• pp.741-750
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• 2017

The objective of this study was to estimate corn and soybean yield in Illinois and Iowa in USA using satellite and meteorological data. MODIS products for NDVI were downloaded from a NASA website. Each layer was processed to convert projection and extract layers for NDVI. Relations of NDVI from 2002 to 2012 with corn and soybean yield were investigated to find informative days for rice yield estimation. Weather data for the county of study state duration from 2002 to 2012 to correlate crop yield. Multiple regression models based on MODIS NDVI and rainfall were made to estimate corn and soybean yields in study site. Corn yields estimated for 2013 were $10.17ton\;ha^{-1}$ in Illinois, $10.21ton\;ha^{-1}$ in Iowa and soybean yields estimated were $3.11ton\;ha^{-1}$ in Illinois, $2.58ton\;ha^{-1}$ in Iowa, respectively. Corn and Soybean yield distributions in 2013 were mapped to show spatial variability of crop yields of the Illinois and Iowa state.

• Tuberculosis and Respiratory Diseases
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• v.80 no.2
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• pp.105-112
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• 2017

Spirometry is a physiological test for assessing the functional aspect of the lungs using an objective indicator to measure the maximum amount of air that a patient can inhale and exhale. Acceptable spirometry testing needs to be conducted three times by an acceptable and reproducible method for determining forced vital capacity (FVC). Until the results of three tests meet the criteria of reproducibility, the test should be repeated up to eight times. Interpretation of spirometry should be clear, concise, and informative. Additionally, spirometry should guarantee optimal quality prior to the interpreting spirometry results. Our guideline adopts a fixed normal predictive value instead of the lower limit of normal as the reference value because fixed value is more convenient and also accepts FVC instead of vital capacity (VC) because measurement of VC using a spirometer is impossible. The bronchodilator test is a method for measuring the changes in lung capacity after inhaling a short-acting ${\beta}-agonist$ that dilates the airway. When an obstructive ventilatory defect is observed, this test helps to diagnose and evaluate asthma and chronic obstructive pulmonary disease by measuring reversibility with the use of an inhaled bronchodilator. A positive response to a bronchodilator is generally defined as an increase of ${\geq}12%$ and ${\geq}200mL$ as an absolute value compared with a baseline in either forced expiratory volume at 1 second or FVC.

• Korean Journal of Plant Taxonomy
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• v.46 no.2
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• pp.247-255
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• 2016

As an attempt to determine the identity of the old trees of flowering cherries planted in the yard of the Catholic Archdiocese of Daegu, we conducted comparative phylogenetic analyses between wild and cultivated Prunus yedoensis Matsum. We generated the phylogeny (MP) and haplotype network (TCS) of 25 individuals, including wild P. yedoensis, from Jeju Island, cultivated P. ${\times}$yedoensis 'Somei-yoshino' from Korea and Japan, and P. spachiana f. ascendens (Makino) Kitam. from Jeju Island and Japan based on highly informative sequences of two cpDNA regions (rpl16 gene and trnS-trnG intergenic spacer). The wild and cultivated P. yedoensis were distinguished from each other in both the phylogeny and haplotype networks, and the old flowering cherry trees in Daegu had a cpDNA haplotype identical to that of the cultivated P. ${\times}$yedoensis 'Someiyoshino'. Compared to the cultivated P. ${\times}$yedoensis 'Somei-yoshino', wild P. yedoensis appears to have greater haplotype diversity, presumably originating from the genetic diversity of P. spachiana f. ascendens that functioned as a maternal parent in the hybrid origin of wild P. yedoensis. A future detailed study requires extensive sampling of P. spachiana f. ascendens from Japan and Korea to determine their precise phylogenetic relationships relative to wild and cultivated P. yedoensis. We concluded that the old flowering cherry trees planted in the yard of the Catholic Archdiocese of Daegu are highly likely to be of cultivated origin rather than wild types from Jeju Island, as previously speculated.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.1
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• pp.63-75
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• 2006

Purpose: This study was aimed to specify roles of nurses from the anesthesia and recovery room by analyzing nursing activities as well as anesthesia nursing during surgery. Method: The objects were 12 RNs working in the recovery room of a university hospital located in Incheon. Self-report was performed by measuring stop-watch for five days from May 17th to May 21st in 2004. Research method was designed to record the time and frequency of the nursing activity from anesthesia and recovery room based on nurses' statement and other references for five days. The data were analyzed with descriptive statistics, ANOVA, and t-test via SPSS Win 10.0 program. Result: Nursing activities in anesthesia recovery room were classified into two different characteristics such as direct and indirect nursing activity. The activities consisted of 11 direct nursing areas and 39 nursing activities in anesthesia preparation room. The indirect nursing was classified into 8 nursing areas and 32 nursing activities. The direct nursing was classified into 12 nursing areas and 55 nursing activity. Also, the indirect nursing was classified into 7 nursing areas and 21 nursing activities in recovery room. In terms of prevalence of nursing activities in the anesthesia preparation room, observation and cooperation of anesthesia was the most prevalent activity, drug and eqipment management the second prevalent, and drug administration the third. On the other hand, in the recovery room, the most prevalent activity was vital sign checking and observation, the second most prevalent activity informative activity, and the third body temperature control. Nursing activity time was recorded according to the nursing characteristics. In the anesthesia preparation room, the direct nursing spent for 8092.20 minutes was larger than the indirect nursing spent for 7198.50 minutes. Also, in the recovery room, the direct nursing spent for 2361.16 minutes was larger than the indirect nursing spent for 1134.13 minutes. 4. Nursing activity time was compared to duty shifts. In the anesthesia preparation room, the direct nursing was more prevalent on day shift and the indirect nursing was prevalent on evening shift. However, in the recovery room, both direct and indirect nursing activities were prevalent on day shift. Conclusion: The role of anesthesia and recovery room nurses was analysed according to the time, frequency, and its characteristics.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.49 no.3
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• pp.251-255
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• 2004

The epidemics of rice blast which occurred in south parts of Korea during the period from 1999 to 2001 and damaged several high quality rice cultivars developed using "Milyang 95" and/or "Milyang 96" as a parent. Genetic diversity of 23 rice cultivars including "Milyang 95" and it's relatives was assessed using 54 simple sequence repeats (SSR) markers reported to be linked to major blast resistance genes. Fifty-four SSR markers representing fifty-seven loci in the rice genome detected polymorphism among the 23 cultivars and revealed a total of 170 alleles with an average of 3.0 alleles per primer, The number of amplified bands ranged from 1 to 7. Several SSR markers including RM249, RM206 and OSR20 were informative for assessing the genetic diversity of relatively closed japonica rice cultivars. The 23 cultivars were classified into four groups by cluster analysis based on Nei's genetic distances, and the cultivars developed from same parents showed a tendency to cluster together that is consistant with genealogical information. High quality rice cultivars, Daesanbyeo, Donganbyeo, and Milyang 95 belonged to the same cluster, At the loci, RM254 and OSR32, all of the cultivars derived from the crosses using "Milyang 95" shared same alleles, suggesting that these japonica cultivars might carry alleles that are identical by descent. Evaluation of 23 rice cultivars against blast needs to be confirmed regarding the relationship between genotype and blast resistance.p between genotype and blast resistance.

• Tuberculosis and Respiratory Diseases
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• v.64 no.2
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• pp.95-101
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• 2008

Background: Drug resistant tuberculosis (TB) in patients who have not received previous TB treatment (initial drug resistance) is a serious problem for the control of TB. However, prevalence of initial drug resistance among pulmonary TB patients has not been well characterized in Korea, especially in the private sector. We assessed the prevalence of initial drug resistance and evaluated the risk factors for drug resistance in pulmonary TB patients, at a regional tertiary hospital in Cheonan. Methods: We performed a drug susceptibility test for both first and second line anti-TB drugs in all culture-confirmed pulmonary TB patients who had not received a previous TB treatment at Dankook University Hospital from September 2005 to September 2007. In addition, we evaluated the initial drug resistance pattern and clinical characteristics of patients to evaluate the risk factors for initial drug resistance. We also assessed the influence of the drug susceptibility test results on the treatment regimen. Results: Of the total 156 cases where the drug susceptibility test was performed, resistance to at least one anti-TB drug was found in 21 cases (15.6%) and multidrug resistance, where TB was resistant to at least isoniazid and rifampin, was found in one case (0.6%). Multivariate logistic regression showed no clinical characteristics were independently associated with initial drug resistance. Of the total 156 patients who underwent the drug susceptibility test, the treatment regimen was changed for 15 patients (9.6%) according to the results of the drug susceptibility test. Conclusion: Initial drug resistance is common and the drug susceptibility test is informative for pulmonary TB patients who have not received previous TB treatment.

• Korean Journal of Animal Reproduction
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• v.23 no.4
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• pp.303-311
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• 1999

Nuclear DNA was isolated from the sperm cells representing genetic characteristics and genomic polymorphisms of rainbow trout by polymerase chain reaction(PCR) amplification of DNA using arbitrary primers. Genomic DNA fingerprints were generated from rainbow trout sperm DNA by polymerase chain reaction amplification using 20 arbitrary decamers as primers. Out of these primers, 4 generated 17 highly reproducible RAPD markers, producing almost six polymorphic bands per primers. Four of 6 primers tested generated amplified fragments which were polymorphic between different individuals. Polymorphic DNA fragments were reproducibly amplified from independent DNA preparations made from individuals. Rainbow trout was distinctly observed 3 specific DNA markers (2. 3, 2.0 and 1.3kb) in bandsharing. Individual fragments generated using the same arbitrary primer, demonstrated that a single primer detected at least three independent genomic polymorphisms in rainbow trout sperm DNA. The RAPD polymorphism generated by this primer may be used as a genetic marker for individual identification The RAPD-PCR technique has been shown to reveal informative polymorphism in many species of fish. The present results demonstrate that RAPD markers are abundant, reproducible and provide a basis for future gene mapping and MAS in these important aquaculture species using RAPD polymorphic markers. It is concluded that RAPD polymorphisms are useful as genetic markers for fish breed differentiation.

• Journal of Fashion Business
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• v.19 no.6
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• pp.82-100
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• 2015

Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.267-271
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• 2005

The goal of data mining is to extract new and useful knowledge from large scale datasets. As the amount of available data grows explosively, it became vitally important to develop faster data mining algorithms for various types of data. Recently, an interest in developing data mining algorithms that operate on graphs has been increased. Especially, mining frequent patterns from structured data such as graphs has been concerned by many research groups. A graph is a highly adaptable representation scheme that used in many domains including chemistry, bioinformatics and physics. For example, the chemical structure of a given substance can be modelled by an undirected labelled graph in which each node corresponds to an atom and each edge corresponds to a chemical bond between atoms. Internet can also be modelled as a directed graph in which each node corresponds to an web site and each edge corresponds to a hypertext link between web sites. Notably in bioinformatics area, various kinds of newly discovered data such as gene regulation networks or protein interaction networks could be modelled as graphs. There have been a number of attempts to find useful knowledge from these graph structured data. One of the most powerful analysis tool for graph structured data is frequent subgraph analysis. Recurring patterns in graph data can provide incomparable insights into that graph data. However, to find recurring subgraphs is extremely expensive in computational side. At the core of the problem, there are two computationally challenging problems. 1) Subgraph isomorphism and 2) Enumeration of subgraphs. Problems related to the former are subgraph isomorphism problem (Is graph A contains graph B?) and graph isomorphism problem(Are two graphs A and B the same or not?). Even these simplified versions of the subgraph mining problem are known to be NP-complete or Polymorphism-complete and no polynomial time algorithm has been existed so far. The later is also a difficult problem. We should generate all of 2$^n$ subgraphs if there is no constraint where n is the number of vertices of the input graph. In order to find frequent subgraphs from larger graph database, it is essential to give appropriate constraint to the subgraphs to find. Most of the current approaches are focus on the frequencies of a subgraph: the higher the frequency of a graph is, the more attentions should be given to that graph. Recently, several algorithms which use level by level approaches to find frequent subgraphs have been developed. Some of the recently emerging applications suggest that other constraints such as connectivity also could be useful in mining subgraphs : more strongly connected parts of a graph are more informative. If we restrict the set of subgraphs to mine to more strongly connected parts, its computational complexity could be decreased significantly. In this paper, we present an efficient algorithm to mine frequent subgraphs that are more strongly connected. Experimental study shows that the algorithm is scaling to larger graphs which have more than ten thousand vertices.