• Journal of Ecology and Environment
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• v.38 no.2
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• pp.133-143
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• 2015

Freshwater macrophytes improve the structural heterogeneity of microhabitats in water, often providing an important habitat for zooplankton. Some studies have focused on the overall influence of macrophytes on zooplankton, but the effects of macrophyte in relation to different habitat characteristics of zooplankton (e.g., epiphytic and pelagic) have not been intensively studied. We hypothesized that different habitat structures (i.e., macrophyte habitat) would strongly affect zooplankton distribution. We investigated zooplankton density and diversity, macrophyte characteristics (dry weight and species number), and environmental parameters in 40 shallow wetlands in South Korea. Patterns in the data were analyzed using a self-organizing map (SOM), which extracts information through competitive and adaptive properties. A total of 20 variables (11 environmental parameters and 9 zooplankton groups) were patterned onto the SOM. Based on a U-matrix, 3 clusters were identified from the model. Zooplankton assemblages were positively related to macrophyte characteristics (i.e., dry weight and species number). In particular, epiphytic species (i.e., epiphytic rotifers and cladocerans) exhibited a clear relationship with macrophyte characteristics, while large biomass and greater numbers of macrophyte species supported high zooplankton assemblages. Consequently, habitat heterogeneity in the macrophyte bed was recognized as an important factor to determine zooplankton distribution, particularly in epiphytic species. The results indicate that macrophytes are critical for heterogeneity in lentic freshwater ecosystems, and the inclusion of diverse plant species in wetland construction or restoration schemes is expected to generate ecologically healthy food webs.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.179-200
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• 2008

We develop a feature selection method that can improve both the efficiency and the effectiveness of classification technique. In this research, we employ case-based reasoning as a classification technique. Basically, this research integrates the two existing feature selection methods, i.e., the univariate analysis and the LVF algorithm. First, we sift some predictive features from the whole set of features using the univariate analysis. Then, we generate all possible subsets of features from these predictive features and measure the inconsistency rate of each subset using the LVF algorithm. Finally, the subset having the lowest inconsistency rate is selected as the best subset of features. We measure the performances of our feature selection method using the data obtained from UCI Machine Learning Repository, and compare them with those of existing methods. The number of selected features and the accuracy of our feature selection method are so satisfactory that the improvements both in efficiency and effectiveness are achieved.

• Journal of the Korean Home Economics Association
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• v.42 no.12 s.202
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• pp.161-174
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• 2004

The primary objective of this study was to employ Darden's store patronage model in order to investigate the role that shopping orientation and store attributes play in store patronage. The study sample consisted of 340 female university students residing in Seoul. The data was analyzed by using path analysis and factor analysis. The recreational shopping orientation played a greater role in influencing the importance of store attributes than did the convenience shopping orientation. Recreational shoppers want a variety of brands and convenience shoppers can be attracted by a convenient location and availability of parking. Six important store attributes(variety of products and price level, proximity, variety of trendy brands, store decor, sales promotion, sales personnel) have a differential influence on store patronage. Shopping orientation was a direct predictor of patronage behavior and mediated the relationship between shopping orientation and store attribute importance. The finding indicated that both the recreational shopping orientation and convenience shopping orientation can be used effectively to position store patronage in such a way as to provide a strong means for shoppers to satisfy their needs. The findings of this study demonstrated that South Korean female shoppers with different shopping orientation have different store attribute preference and store patronage. The results provide a basis for building a successful strategy to attract shoppers and generate sales. The study focused on a specific product category, i.e., women's apparel. To meet the needs of female apparel shoppers, further research is needed to learn more about the distinctive characteristics of Korean consumers that could be applied to a variety of jobs, ages and living areas.

• Asian-Australasian Journal of Animal Sciences
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• v.20 no.12
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• pp.1805-1811
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• 2007

A simulation study was conducted to evaluate the effect of reciprocal cross on the detection and characterization of parent-of-origin (POE) QTL in $F_2$ QTL populations. Data were simulated under two different mating designs. In the one-way cross design, six $F_0$ grand sires of one breed and 30 $F_0$ grand dams of another breed generated 10 $F_1$ offspring per dam. Sixteen $F_1$ sires and 64 $F_1$ dams were randomly chosen to produce a total of 640 $F_2$ offspring. In the reciprocal design, three $F_0$ grand sires of A breed and 15 $F_0$ grand dams of B breed were mated to generate 10 $F_1$ offspring per dam. Eight $F_1$ sires and 32 $F_1$ dams were randomly chosen to produce 10 $F_2$ offspring per $F_1$ dam, totaling 320 $F_2$ offspring. Another mating set comprised three $F_0$ grand sires of B breed and 15 $F_0$ grand dams of A breed to produce the same number of $F_1$ and $F_2$ offspring. A chromosome of 100 cM was simulated with large, medium or small QTL with fixed or different allele frequencies in parental breeds. A series of tests between Mendelian and POE models were applied to characterize QTL as Mendelian, paternal, maternal or partial expression QTL. The overall detection powers were similar between the two mating designs. However, the proportions of paternally expressed QTL that were declared as paternal QTL type were greater in the reciprocal cross design than in the one-way cross, and vice versa for Mendelian QTL. When QTL alleles were segregating in parental breeds, a significant proportion of Mendelian QTL were spuriously declared POE QTL, suggesting that care must be taken to characterize imprinting QTL in a QTL mapping population with a small number of $F_1$ parents.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.1
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• pp.327-332
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• 2015

Background: Gastric cancer is one of the frequently seen cancers in the world and it is the second most common reason for death due to cancer. The prognostic role of expression of p53 detected by immunohistochemistry in gastric cancer remains controversial. This meta-analysis aimed to explore any association between overexpression and survival outcomes. Materials and Methods: We systematically searched for studies investigating the relationships between expression of p53 detected by immunohistochemistry and prognosis of gastric cancer patients. Study quality was assessed using the Newcastle-Ottawa Scale. After careful review, survival data were extracted from eligible studies. A meta-analysis was performed to generate combined hazard ratios for overall survival and disease-free survival. Results: A total of 4.330 patients from 21 studies were included in the analysis. Our results showed tissue p53 overexpression in patients with gastric cancer to be associated with poor prognosis in terms of overall survival (HR, 1.610; 95% CI, 1.394 -5.235; p:<0.001). Pooled hazard ratio for disease free survival showed that p53 positivity or negativity were not statitistically significant (HR, 1.219; 95%CI, 0.782-1.899; p:0.382). Conclusions: The present meta-analysis indicated overexpression of p53 detected by immunohistochemistry to be associated with a poor prognosis in patients with gastric cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.7
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• pp.3129-3133
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• 2012

Diagnosis and treatment procedures in cancers and resulting anxiety negatively affect the individual and the family. Particularly treatment methods may generate psychological symptoms. The aim of this study was to determine the level of such symptoms in Turkish gynecologic cancer patients receiving chemotherapy. A total of 41 patients who were referred to our gynecologic oncology research clinic between January-March 2012, receiving 3 months or more chemotherapy and who agreed to participate were enrolled in study. All the data were collected using a personal information form, Edmonton Symptom Assesment System and State-Trait Anxiety Inventory. Patients received highest point average from fatigue symptom ($6.53{\pm}2.67$) and lowest point average from dyspnea ($1.53{\pm}3.03$) according to Edmonton Symptom Assesment System. The mean State Anxiety score of patients was $43.1{\pm}9.77$ and mean Trait Anxiety score was $46.7{\pm}7.01$. Comparing symptoms of patients and mean State Anxiety score it was found that there was a statistically significant corelation with symptoms like pain (p<0.05), sadness (p<0.001), insomnia (p<0.05), state of well being (p<0.001) and dyspnea (p<0.05). Similarly comparing symptoms of patients and mean Trait Anxiety score demonstrated significant correlations for fatigue (p<0.05), sadness (p<0.01), insomnia (p<0.01) and state of well-being (p<0.01). As a result, patients with gynecological cancers experienced symptoms related to chemotherapy and a moderate level of anxiety. In accordance, appropriate interventions should recommended for the evaluation and improvement of anxiety and symptoms related to treatment in cancer patients.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2345-2351
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• 2014

Lysyl oxidase-like 2 (LOXL2), a member of the lysyl oxidase (LOX) family, is a copper-dependent enzyme that catalyzes oxidative deamination of lysine residues on protein substrates. LOXL2 was found to be overexpressed in esophageal squamous cell carcinoma (ESCC) in our previous research. We later identified a LOXL2 splicing variant LOXL2-delta72 and we overexpressed LOXL2-delta72 and its wild type counterpart in ESCC cells following microarray analyses. First, the differentially expressed genes (DEGs) of LOXL2 and LOXL2-delta72 compared to empty plasmid were applied to generate protein-protein interaction (PPI) sub-networks. Comparison of these two sub-networks showed hundreds of different proteins. To reveal the potential specific roles of LOXL2- delta72 compared to its wild type, the DEGs of LOXL2-delta72 vs LOXL2 were also applied to construct a PPI sub-network which was annotated by Gene Ontology. The functional annotation map indicated the third PPI sub-network involved hundreds of GO terms, such as "cell cycle arrest", "G1/S transition of mitotic cell cycle", "interphase", "cell-matrix adhesion" and "cell-substrate adhesion", as well as significant "immunity" related terms, such as "innate immune response", "regulation of defense response" and "Toll signaling pathway". These results provide important clues for experimental identification of the specific biological roles and molecular mechanisms of LOXL2-delta72. This study also provided a work flow to test the different roles of a splicing variant with high-throughput data.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.390-398
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• 2009

The research purposes are (1) to identify male market segmentation based on fashion involvement, (2) to compare purchase intention of clothing items and store attribute evaluation at two different retail formats, department store and internet shopping mall, and (3) to compare the influence of store attributes on intention to purchase fashion products at two retail formats among segments. The data are collected from 275 male consumers through internet research institute. The major results of this study are as follows. First, the dimensions of fashion involvement are identified into external involvement and internal involvement. Male respondents present high mean scores on external involvement items, emphasizing social roles of clothing. Two involvement factors generate three market segments: high involvement group(32.4%), external involvement group(44%), and low involvement group(23.6%). Second, high involvement group shows higher mean scores on purchase intention of seven clothing items than low involvement group. Third, department store attributes are identified into four factors, product assortment, quality per price, service, and symbolic image, while internet shopping mall includes assortment & convenience, quality per price, and symbolic image. High involvement group again presents higher mean scores on each retail attribute factor than low involvement group. Finally, quality per price is the most significant variable to explain the purchase intention at department store among three market segment, whereas assortment & convenience and quality per price are important predictors to increase purchase intention at internet shopping mall. However, relative importance of each attribute variable is different among three involvement groups.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1225-1234
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• 2013

According to the importance of greenhouse gas emissions, it grows day by day, the goverment is promoting to prepare the specific policy implementation to enhance building energy-saving design standars as the development agenda. In this study, the statistical analysis was performed by Descriptive statistics, Regression analysis, and Hypothesis testing to collect to generate and storage energy usage data in real time to settle parameter setting to affect energy consumption under energy-guzzling apartment not single building. This study is expected to be utilized as the basis for the optimum energy-saving design of the future of the building or facility energy costs rise and the demand for energy-efficient and stable management.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.6
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• pp.1059-1068
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• 2016

The current operation method for the AVC (Automatic Vehicle Classification) equipment does not generate vehicle speed, traffic volume and vehicle type information when part of the sensors has failed. Inefficiency of current methods would not use the collected data from the normal sensor. In this study was conducted research on the calculating method at the traffic volume and vehicle speed in the sensor failure AVC equipment. The failure situation of the sensor was classified into 4 types. Calculating the traffic volume and vehicle speed information for each type, and accuracy of these informations were analyzed. Analysis results, traffic volume was possible to calculate a highly accurate value (accuracy: 100%, 98%, 97%). In the case of speed, the accuracy of the calculated speed value reaches a level that can be accepted sufficiently (RMSE value is less than 16.8). So, using the methodology proposed in this study are expected to be able to increase the operational efficiency of the AVC equipment.