Cluster-of-differentiation antigen 9 (CD9) gene expressed in the male germ line stem cells is crucial for sperm-egg fusion, and was therefore selected as a candidate gene to investigate Duroc boar semen motility and kinematic characteristics. This study was performed to investigatetheir association with semen motility and kinematic characteristics. DNA samples from 96 Duroc pigs with records of sperm motility and kinematic characteristics [Total motile spermatozoa (MOT, $82.27{\pm}5.58$), Curvilinear velocity(VCL, $68.37{\pm}14.58$), Straight-line velocity(VSL, $29.06{\pm}6.58$), the ratio between VSL and VCL(LIN, $47.36{\pm}8.42$), Amplitude of Lateral Head displacement(ALH, $2.88{\pm}0.70$)] were used in present study. A single nucleotide polymorphism (g.358A>T) in intron 6 was associated with MOT, VCL, VAP and ALH in Duroc population (p<0.05). Therefore, we suggest that the porcine CD9 may be used as a molecular marker for Duroc boar semen quality, although its functional effect was not clear yet. These results will improve the understanding of the functions of the CD9 in spermatogenesis within the reproductive tracts, and will shed light on CD9 as a candidate gene in the selection of good sperm quality boars.
Journal of the Korean association of regional geographers
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v.14
no.6
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pp.664-679
/
2008
This paper attempts to evaluate the local economy and the local economic development policy in Goryeong County and to propose some policy alternatives for local economic development. Goryeong County has a locational advantage, which is not just geographically proximate to Daegu, a large metropolis, but also connected directly to the national highway networks. This region can also be regarded as a rural area, in a sense that the primary industry still plays a more important role for the local economy than the secondary industry and the tertiary industry. However, it is problematic that the local economic development strategies of Goryeong are universal rather than strategic and systematic. In order to design an effective regional economic development policy, the policy makers are necessary to deliberately consider regional specificity and geo-political and geo-economic situations around the region. In addition, it is important to say that policy makers, particularly in rural regions, need to break from the fantasy of high-tech industries. In this context, I propose some region-specific and context-specific policy ideas, including the promotion of the agro-food cluster and the build-up of the em-industrial complexes specialized in mechatronics and transportation equipment manufacturing.
A traditional house or a traditional village experience has been on the rise as a form of experiential cultural tourism. But the Oeam folk village, a experiential cultural tourist destination representing Chungcheng-do seems to confront the stagnancy in the part of growth. It has to grow in two sides of quantity and quality. On the ground of this critical mind, 3 assumptions were established after analyzing previous studies. Additionally, market segmentation using satisfaction factors was practiced. In order to verify assumptions, A questionnaire was made and a survey was practiced. Out of statistic analyses, cluster analysis was practiced to do market segmentation targeting people who visit Oeam folk village and regression analysis to verify established assumptions. The assumption 1 was adopted that satisfaction factors influence whole satisfaction. The assumption 2 was partly adopted that satisfaction factors(sightseeing efficiency, sightseeing convenience, traditional house and experience factor) except food and souvenir factor influence behavior intention. The assumption 3 was adopted that whole satisfaction influences behavior intention. These were similar with the results of previous studies. As the result of cluster analysis to confirm the difference of demographic characteristics according to the market, 2 clusters was classified and classified clusters showed the difference of demographic characteristics.
In this paper, we examine the methodology to predict consumer preferences using several groups of attributes of products and application to real data. In the food industry, studies are in progress to investigate the relationship between product attributes and consumer preferences; consequently, various methodologies are proposed. Among these methodologies, we consider multiple factor analysis (MFA). The result of the MFA enable the division of consumers into four clusters with similar liking and the defining of preference characteristics for each cluster. Also, using the results of multiple factor analysis, we find the partial least squares path model to predict consumer preferences through the characteristics of the product and the characteristics evaluated by consumers. We can understand the relationship between the cluster of consumers and the preferred/undesirable characteristics of products through the partial least squares path model applied to two clusters with different liking. When multiple factor analysis is used in the partial least squares path model, it is possible to investigate relationships between products and consumers by analyzing product characteristics and consumer preferences simultaneously. The results can be applied to product developments and sales which makes this methodology important and useful.
This research has been conducted to discover the consumer's behavior in the purchase and consumption of korean alcoholic beverages. The intent of these works are to contribute to the growth of the traditional alcoholic beverages markets by giving necessary data for the marketing strategies and the development of favorite beverage to meet the consumer's tastes. The surveys have been conducted against a group of people ranging from their 20's to 60's randomly picked from seoul. The duration of the surveys was from August 1st to September 30th, 2010. We also examined the relationship between the selection attributes of traditional liquor and purchase satisfaction by consumer's life-styles. SPSS 18.0 statistical package was used to process data. Frequency analysis, factor analysis, a reliability test, K-means cluster analysis, one-way ANOVA and multiple regression were executed. As a result, through factor analysis and cluster analysis, authors identified 6 factors in the selection attributes of traditional liquor(characteristics, taste & fragrance, popularity, design, harmony, interest), 4 consumer groups(expert, fan, beginner, indifference), 4 consuming lifestyles(social oriented consuming style, maniac consuming style, pursuit of knowledge consuming style, outsider consuming style). Among the selection attributes of traditional liquor, taste & fragrance and popularity had effects on purchase satisfaction.
Journal of the Korean Regional Science Association
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v.32
no.3
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pp.29-43
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2016
The purpose of this study is to derive research subject that has been overlooked in previous studies and contribute to seek to the direction of research in rural development by analyzing the studies in the last 30 years on rural society. In this study, Social Network Analysis was used for identifying the changes in research themes and connection structure of keyword. The study shows that in the previous Roh Moo-Hyun's Administration from 1986 to 2000, the convergence of the research is not active. In terms of the connection structure of keyword, lots of keywords are connected to the 'Migration, IMF, Satisfaction, Green Tourism' but its form is not complicated. In the Roh Moo-Hyun's Administration from 2001 to 2007, the academic exchanges and convergence of keywords on rural development were promoted research. The connection structure of keyword was formed like a complex cluster associated with 'The Rural Elderly, Rural Tourism, Rural Development Policy, Urban-Rural Comparison'. Although some scholars who study 'Women's Studies, Tourism' formed the cluster, its form is still passive. Since 2008 until now, the keyword network of rural development research clustered densely and formed singly. It reveals that the convergence of research subjects has proceeded actively. And studies such as the 'Community, Participation, Social capital, Quality of life, Social networks, Alternative food movement' have begun.
Ku, Kyung-Hyung;Park, Kyungmin;Kim, Hyun Jung;Kim, Yoonsook;Koo, Minseon
Journal of the Korean Society of Food Science and Nutrition
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v.43
no.5
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pp.720-728
/
2014
In order to characterize the quality of Doenjang, fermented Korean soybean paste, subjected to long-term aging, this study performed physico-chemical analyses and sensory evaluation according to aging period (from 1 to 9 years). Regarding the proximate composition of Doenjang according to aging period, moisture, crude protein, crude lipid, crude ash, and salt contents showed little differences among Doenjang samples. Amino-type nitrogen content was 1,046.7 mg% in the 1 year-aged sample, 990.9~996.9 mg% in the 2~5 year-aged samples, and 1,214.1~1,304.8 mg% in the samples fermented more than 5 years. ${\Delta}$E value, reflecting total color differences between the samples, increased according to aging period. Ratios of linoleic and linolenic acids, which are essential fatty acids in soybeans, constituted 55% of total fatty acids, which was the most abundant among all fatty acids. The major free sugar in Doenjang was fructose at a content of 1.6~2.2% in 1~9 year-aged Doenjang. Glycoside form of isoflavones in Meju constituted 77.1%, and the aglycon form constituted 22.9%. However, the glycoside type of isoflavones in soybeans was converted to aglycon type in Doenjang through fermentation and aging. In the sensory evaluation of Doenjang samples, brown color, salt smell, soy sauce flavor, and viscosity all increased according to aging period, whereas sweet flavor, roast smell, beany flavor, salty taste, and acrid taste showed no significant differences. In cluster analysis of the sensory attributes of Doenjang according to aging period, 1 year-aged Doenjang was significantly different between 2 year- and 3~5 year-aged Doenjang.
Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
/
2014.10a
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pp.1-24
/
2014
This study uses geo-spatial crop modeling to quantify the biophysical impact of weather extremes. More specifically, the study analyzes the weather extreme which affected maize production in the USA in 2012; it also estimates the effect of a similar weather extreme in 2050, using future climate scenarios. The secondary impact of the weather extreme on food security in the developing world is also assessed using trend analysis. Many studies have reported on the significant reduction in maize production in the USA due to the extreme weather event (combined heat wave and drought) that occurred in 2012. However, most of these studies focused on yield and did not assess the potential effect of weather extremes on food prices and security. The overall goal of this study was to use geo-spatial crop modeling and trend analysis to quantify the impact of weather extremes on both yield and, followed food security in the developing world. We used historical weather data for severe extreme events that have occurred in the USA. The data were obtained from the National Climatic Data Center (NCDC) of the National Oceanic and Atmospheric Administration (NOAA). In addition we used five climate scenarios: the baseline climate which is typical of the late 20th century (2000s) and four future climate scenarios which involve a combination of two emission scenarios (A1B and B1) and two global circulation models (CSIRO-Mk3.0 and MIROC 3.2). DSSAT 4.5 was combined with GRASS GIS for geo-spatial crop modeling. Simulated maize grain yield across all affected regions in the USA indicates that average grain yield across the USA Corn Belt would decrease by 29% when the weather extremes occur using the baseline climate. If the weather extreme were to occur under the A1B emission scenario in the 2050s, average grain yields would decrease by 38% and 57%, under the CSIRO-Mk3.0 and MIROC 3.2 global climate models, respectively. The weather extremes that occurred in the USA in 2012 resulted in a sharp increase in the world maize price. In addition, it likely played a role in the reduction in world maize consumption and trade in 2012/13, compared to 2011/12. The most vulnerable countries to the weather extremes are poor countries with high maize import dependency ratios including those countries in the Caribbean, northern Africa and western Asia. Other vulnerable countries include low-income countries with low import dependency ratios but which cannot afford highly-priced maize. The study also highlighted the pathways through which a weather extreme would affect food security, were it to occur in 2050 under climate change. Some of the policies which could help vulnerable countries counter the negative effects of weather extremes consist of social protection and safety net programs. Medium- to long-term adaptation strategies include increasing world food reserves to a level where they can be used to cover the production losses brought by weather extremes.
This study is aimed to identify the relationship between Korean restaurant selection attributes and behavioral intention regarding foodservice consumption tendency. In order to achieve the purpose of research, frequency analysis, factor and reliability analysis, correlation analysis, cluster analysis, chi-square test, variance analysis, and multiple regression analysis were conducted using SPSS 18.0. As a result of variance analysis, accessibility did not appear to have a significant difference in all clusters, food quality appeared to have a significant result (F=5.587, $p{\leq}.001$), employees' service appeared to have a significant difference (F=5.186, p<.01), and price discounts also showed a significant difference (F=4.921, p<.01). Therefore, the first hypothesis that the foodservice consumption tendency has a difference in the Korean restaurants selection attributes was partially selected. In order to verify the hypothesis that the Korean restaurants selection attributes affect behavioral intention, the sub-factors of the Korean restaurant selection attributes (accessibility of restaurants, food quality, employees' service, price discounts) were set as independent variables, and the behavioral intention of foodservice consumers was set as a dependent variable. As a result, the accessibility of restaurants (${\beta}=.092$) and price discounts (${\beta}=.299$) have a non-significant effect on behavioral intention. However, a significant result was shown in food quality (${\beta}=.379$, p<.001) and employees' service (${\beta}=.251$, p<.001). Thus, the hypothesis that the Korean restaurant selection attributes have a positive effect on behavioral intention was partially selected. Based on the results, foodservice managers need to build up strategic management to improve food quality with better ingredients, sanitation, adequate quantity, and consistent taste of food. In addition, they should provide better service with well-trained employees.
Kim, Min-Ji;Song, SuJin;Park, So Hyun;Song, YoonJu
Journal of Nutrition and Health
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v.48
no.3
/
pp.228-235
/
2015
Purpose: Along with the adaptation of a Western dietary pattern and low physical activity, pediatric obesity is increasing in Korea, especially for boys. The aim of this study was to identify dietary behavior patterns and examine the snack consumption, dietary habit, and pediatric obesity by pattern groups. Methods: Boys aged 15~19 years were recruited from one high school in Seoul. A questionnaire including dietary behaviors and lifestyle factors was administered and height and weight were measured. A total of 932 boys participated except boys who had missing or incomplete response (n = 30). Three dietary behavior patterns were identified by cluster analysis; 'Healthy pattern', 'Mixed pattern' and 'Unhealthy pattern'. Results: Snack consumption differed according to dietary behavior patterns group. The healthy and mixed patterns showed higher frequencies of white milk and fruit consumption while the unhealthy pattern as well as the mixed patterns showed higher frequencies of sweetened snack and ice cream consumption. Food availability at home of each food differed according to pattern groups but showed a similar trend with food consumption. Regarding dietary habits, the mixed pattern showed higher proportion of taking dietary supplement and eating dessert while the unhealthy pattern showed lower proportion of eating regular meals and appropriate amount of meals. When the healthy pattern was set as a reference group, the odds ratio of pediatric obesity was 1.11 (CI 0.65-1.87) in the mixed pattern group and 1.88 (CI 1.14-3.10) in the unhealthy pattern group. Conclusion: In conclusion, dietary behaviors including snack consumption and lifestyle factors were connected. Unbalanced diet and undesirable dietary practice are important determinants in pediatric obesity.
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