• Journal of Life Science
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• v.31 no.9
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• pp.840-848
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• 2021

This study was conducted to estimate annual trends and the environmental effects in the racing records of Jeju horses. The Korean Racing Authority (KRA) collected 48,645 observations for 2,167 Jeju horses from 2002 to 2019. Racing records were preprocessed to eliminate errors that occur during the data collection. Racing times were adjusted for comparison between race distances. A stepwise Akaike information criterion (AIC) variable selection method was applied to select appropriate environment variables affecting racing records. The annual improvement of the race time was -0.242 seconds. The model with the lowest AIC value was established when variables were selected in the following order: year, budam classification, jockey ranking, trainer ranking, track condition, weather, age, and gender. The most suitable model was constructed when the jockey ranking and age variables were considered as random effects. Our findings have potential for application as basic data when building models for evaluating genetic abilities of Jeju horses.

• Journal of Nutrition and Health
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• v.51 no.6
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• pp.590-598
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• 2018

Purpose: This study was conducted to compare the food involvement scale (FIS) of American and Japanese consumers. In addition, the effects of familiarity, likability, and expectations on willingness to use intentions for block type sauce by nationality were evaluated. Methods: A total of 149 and 112 American and Japanese consumers, respectively, completed the survey. Consumers were asked about familiarity, likability, expectation, willing to use intention, and usage frequency of block type sauce, food involvement scale (FIS), and demographic information. Results: There were differences in the using frequency of block type sauce according to nationality, with consumers in Japan showing significantly higher frequency of using block type sauce than those in the United States (US) (p < 0.001). According to the FIS, US consumers were more focused on how to provide food than food, such as cooking process, table setting, and food shopping, compared to Japanese consumers. In addition, 'expectation' and 'likability' among US consumers and 'expectation' and 'familiarity' among Japanese consumers were positive attributes for willing to use intention (p < 0.01). Conclusion: In the case of the US consumers, 'familiarity' was not significant because the using frequency of the block type sauce was lower than that of Japanese consumers. In the case of the Japanese consumers, 'likability' was not significant because they enjoy cooking itself according to the FIS. Therefore, it is necessary to recognize positive attributes as a key factor for block type sauce, as well as to search for ways to apply marketing strategies based on attributes by nationality.

• Korean Journal of Remote Sensing
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• v.34 no.6_1
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• pp.869-877
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• 2018

The area of desert in East Asia is increasing every year, and it cause a great cost of social damage. Because desert is widely distributed and it is difficult to approach people, remote sensing using satellites is commonly used. But the study of desert area comparison is insufficient which is calculated by satellite sensor. It is important to recognize the characteristics of the desert area data that are calculated for each sensor because the desert area calculated according to the selection of the sensor may be different and may affect the climate prediction and desertification prevention measures. In this study, the desert area of Northeast Asia in 2001-2013 was calculated and compared using Moderate Resolution Imaging Spectroradiometer (MODIS) and Vegetation. As a result of the comparison, the desert area of Vegetation increased by $3,020km^2/year$, while in the case of MODIS, it decreased by $20,911km^2/year$. We performed indirect validation because It is difficult to obtain actual data. We analyzed the correlation with the occurrence frequency of Asian dust affected by desert area change. As a result, MODIS showed a relatively low correlation with R = 0.2071 and Vegetation had a relatively high correlation with R = 0.4837. It is considered that Vegetation performed more accurate desert area calculation in Northeast Asian desert area.

• The Journal of Korean society of community based occupational therapy
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• v.10 no.3
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• pp.37-52
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• 2020

Objective : This study was conducted to identify occupational therapists working in public health centers, the characteristics and actual conditions of occupational therapists in the community, and use them as basic data on occupational therapists in the community as of 2020. Methods : 77 questionnaires were replied by e-mail from OTs work at nationwide health public centers. Job characteristics and status were analysed by descriptive statistics and check correlation between job satisfaction and other factors. Results : Most survey respondents were female(77.9%) and 20-30(96.1%).. Some occupational therapists worked for dementia related team(72.7%) and others worked for like visiting care, health care, and rehabilitation center etc. Rate of experiences of public health center was 1-2 years(67.5%), the most common type of contract was flexible part-time worker(61%) and work intensity(94.8%) and satisfaction of work was very high(85.7%). The highest difficulty of their job was budget administrative work(26.7%) and of non-work difficulty was inequality under contracts(27.2%). They usually participated at dementia shelter, visiting OT, group OT. Difficulty of their job was high in budget administration, dementia shelters, and visiting work treatments. Goals of treatment were high in improvement of cognitive ability and, family support. Frequency of treatment was high in improvement of cognitive therapy, family support, and evaluation. Occupational therapy targets for health centers were dementia, the general elderly, and adult brain lesions, including those for ordinary people, psychiatric disorders and children. It was found that the primary occupations for evaluation were nurses (35.7%) and occupational therapists (33.7%), and that MMSE-DS, SGDS, and SMCQ were used a lot. Conclusion : This study could identify the job characteristics and status of community OTs. We hope that this result could be basic data for building expertise and role for community OTs in changing situations like community cares.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.13-29
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• 2021

The purpose of this study was to analyze the spatial distribution and location factors of startups by generation (young and middle-aged) in Seoul. To this end, a research model was established that included factors of industry, population, and startup institutions by generation in 424 administrative districts using the Seoul Business Enterprise Survey(2018), which includes data on the age group of entrepreneurs. As an analysis method, descriptive statistics were conducted to confirm the frequency, average and standard deviation of startups by generation and major variables in the administrative districts of Seoul, and spatial distribution and characteristics of startups by generation were analyzed through global and local spatial autocorrelation analysis. In particular, the spatial distribution of startups in Seoul was confirmed in-depth by categorizing and analyzing startups by major industries. Afterwards, an appropriate spatial regression analysis model was selected through the Lagrange test, and based on this, the location factors affecting startups by generation were analyzed. The main results derived from the research results are as follows. First, there was a significant difference in the spatial distribution of young and middle-aged startups. The young people started to startups in the belt-shaped area that connects Seocho·Gangnam-Yongsan-Mapo-Gangseo, while middle-aged people were relatively active in the southeastern region represented by Seocho, Gangnam, Songpa, and Gangdong. Second, startups by generation in Seoul showed various spatial distributions according to the type of business. In the knowledge high-tech industries(ICT, professional services) in common, Seocho, Gangnam, Mapo, Guro, and Geumcheon were the centers, and the manufacturing industry was focused on existing clusters. On the other hand, in the case of the life service industry, young people were active in startups near universities and cultural centers, while middle-aged people were concentrated on new towns. Third, there was a difference in factors that influenced the startup location of each generation in Seoul. For young people, high-tech industries, universities, cultural capital, and densely populated areas were significant factors for startup, and for middle-aged people, professional service areas, low average age, and the level of concentration of start-up support institutions had a significant influence on startup. Also, these location factors had different influences for each industry. The implications suggested through the study are as follows. First, it is necessary to support systematic startups considering the characteristics of each region, industry, and generation in Seoul. As there are significant differences in startup regions and industries by generation, it is necessary to strengthen a customized startup support system that takes into account these regional and industrial characteristics. Second, in terms of research methods, a follow-up study is needed that comprehensively considers culture and finance at the large districts(Gu) level through data accumulation.

• Korean Journal of Culture and Social Issue
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• v.26 no.3
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• pp.121-143
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• 2020

The present study examined the content and changes in leader role schemas associated with 'male' leaders, 'female' leaders, and 'good' leaders over the past 10 years in Korea. In addition, we analyzed how the gender of the respondents affects their perception of male leaders versus female leaders as a good leader. A total of 736 Korean adults residing in the Seoul metropolitan area participated in the survey at two different time points, one in 2007, and the other in 2017. The respondents were presented with a total of 90 behavior items driven from the literature and asked to choose the items that represent male leaders, female leaders, and good leaders, respectively. We found that the chosen behavior items for male leaders versus female leaders matched closely to the typical sex role of males (i.e., being agentic) versus females (i.e., being communal). By contrast, the chosen behavior items for good leaders reflected both the male-typed roles and the female-typed roles. We also found that the role schemas associated with male leaders as well as good leaders have changed over the 10 year period. Those schemas also differed between male versus female respondents. For female leaders, however, the role schemas were found to be stable over the 10 years. We also found that the good leader schemas are more specified and variable than are the male or the female schemas. Additionally, in the 2007 survey male characteristics overlapped with good leader characteristics to a greater degree than did female characteristics. This difference was no longer observed in the 2017 survey. The observed difference in the degree of overlap between male (versus female) characteristics with good leader characteristics was attributable to the perceptions of male respondents. We discuss implications of our findings and directions for future research.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.187-198
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• 2020

With the cultural background of whiteness I did examine the universal meaning of absolute good, the special of psychosis, and the fantastic of femininity and memory/record. As an example I analyzed the symbolic meaning of white used in Korean films. Unconditional goodness, white as a generality: White color in all the films of good-evil confrontation falls into this category. The most obvious and the simplest configuration are the black-white dichotomy. In Nameless Gangster: Rules of Time(2011), The Merciless(2016), Asura: The City of Madness(2016) and The Bad Guys: Reign of Chaos(2019), white is the absolute good but it is not limited to a fair key figure. Paradoxically, black is not given only to the side of absolute evil. White is used to be a flexible visual device that reflects the socio-political situation without changing the meaning of the general good. Psychosis and pills, white as a peculiarity: The visual function that emphasizes sado-masochism in the absolute good and the universal symbol of white extends to psychotic specificities such as hysteria. In all the films creating horror, white symbolizes the mentally disabled and the pill for healing. Femininity and haunted white: White of absolute good is expressed by the socio-cultural tendency of femininity and the black-white contrast of vision is applied to the gender difference. In general the women's sexuality is emphasized in color red, but white is arranged in the background. In TaeGukGi: Brotherhood Of War(2004), 71: Into The Fire(2010), My Way(2011), The Front Line(2011), Roaring Currents(2014), Northern Limit Line(2015), The Battle: Roar to Victory(2019) and Battle of Jangsari(2019), white given to female figures sticks to the traditional femininity such as motherhood, sacrifice and weakness. The concept of specters is applied to desires, memories/records, history, fantasy, virtual/reality and social media images. The film history capturing to list memories and moments brings up the specters of socio-political genealogy. Most of films aiming for socio-political change are its examples and white constituting Mise-en-scene records to remember a historical event in Peppermint Candy(2000), The Attorney(2013) and A Taxi Driver(2017).

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.173-181
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• 2021

Chinese people have increasingly high interests in skin care and trust and prefer medical institution products and equipment to treat skin problems. The purpose of this study is to examine skin types and skin care situations, skin care recognition, and skin care satisfaction by gender in medical skin care center patients from in their 10s to 50s in Hainan Province, China. The questionnaire survey consisted of general characteristics(n=8), skin care situations(n=6), skin care recognition(n=11), and skin care satisfaction(n=21). A total of 328 questionnaires were researched from December 21, 2020 to January 9, 2021 using WeChat and Wenjuanxing program. Data were analyzed by SPSSWIN 21.0. Frequency analysis was applied for general characteristics, skin care situations, skin care recognition, and skin care satisfaction and Cronbach's α was used for the reliability of skin care recognition and satisfaction. The relationship among skin care situations, skin care recognition, and skin care satisfaction was analyzed by χ² test and t-test. As a result, the common skin types by gender was dry skin in females and oily skin in males. The highest skin trouble was melasma and pigments in females and pimple in males. The most common way to manage troubled skin was homecare in both females and males, followed by the dermatology department in females and pharmacy in males, suggesting a significant difference. The common period of skin trouble was from one year to three years and the most effective way to improve skin was good life habit, followed by laser treatment in both females and males. The most important consideration to choose a hospital was a famous franchise hospital and the most important matters in management was doctor or skin care professionalism. Skin care and treatment recognition was high in external effects for females and internal effects for males. Skin care satisfaction was high in service for females and effect for males. Skin care satisfaction was significantly higher in males than in females. In conclusion, there was a difference in skin types, skin troubles, skin problems, skin care ways, and skin care satisfaction by gender in Chinese medical skin care center patients. Therefore, this study suggests the development of various products and the need of systematic management programs.

• Korea Science and Art Forum
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• v.28
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• pp.105-116
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• 2017

This study is a basic research to suggest user-centered general hospital environmental design guidelines, which aims to analyze user's behavior characteristics across generation in general hospital. For this purpose, this study constructed an analysis tool through the literature review with regard to generation and behavior characteristics in general hospital. Besides, an online survey regarding user's behavior in general hospital was conducted targeting from 20s to 60s, 300 persons for each group, total 1,500 persons for about 3 weeks since September 1, 2016. The results of this study are as follows: (1) Based on the generation, there were significant differences in relevant categories of their visiting frequency, visiting purpose, visiting hour, transportation, companion, behavior during the wait and selection of a general hospital. (2) In all generation, they responded that they have visited once or twice per year. People in 20s and 30s responded that their visit for the hospital is to receive specific treatment, while other people in 40s, 50s and 60s visit the hospital majorly for routine check-ups. Therefore, it is imperative for a health check-up center to design an environmental plan that reflects the characteristics of elders in 40s, 50s and 60s. (3) People in 40s, 50s and 60s usually visit a general hospital in the mornings of weekdays, while generations in 20s and 30s responded that they mostly visit the hospital in the mornings of weekend. (4) When they visit a general hospital, people in their 20s are usually using public transportations, while people in their 30s to 60s are using their own vehicle. (5) People in their 20s majorly visited 'lobby'. In older generations, they tend to visit 'outpatient clinic'. Therefore, it is necessary to build an outpatient clinic environment that considers the elderly. (6) Patients majorly responded that they are using their cell phone, while waiting for their clinic call. In elder generations, they responded that they are more likely watching TVs, reading books/magazines or doing nothing. Therefore, it is essential to provide cell-phone related services and environmental supports. Visually attractive media can be utilized for this purpose.

• Korean Chemical Engineering Research
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• v.61 no.4
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• pp.523-541
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• 2023

As accessibility to 3D printers increases, there is a growing frequency of exposure to chemicals associated with 3D printing. However, research on the toxicity and harmfulness of chemicals generated by 3D printing is insufficient, and the performance of toxicity prediction using in silico techniques is limited due to missing molecular structure data. In this study, quantitative structure-activity relationship (QSAR) model based on data-centric AI approach was developed to predict the toxicity of new 3D printing materials by imputing missing values in molecular descriptors. First, MissForest algorithm was utilized to impute missing values in molecular descriptors of hazardous 3D printing materials. Then, based on four different machine learning models (decision tree, random forest, XGBoost, SVM), a machine learning (ML)-based QSAR model was developed to predict the bioconcentration factor (Log BCF), octanol-air partition coefficient (Log Koa), and partition coefficient (Log P). Furthermore, the reliability of the data-centric QSAR model was validated through the Tree-SHAP (SHapley Additive exPlanations) method, which is one of explainable artificial intelligence (XAI) techniques. The proposed imputation method based on the MissForest enlarged approximately 2.5 times more molecular structure data compared to the existing data. Based on the imputed dataset of molecular descriptor, the developed data-centric QSAR model achieved approximately 73%, 76% and 92% of prediction performance for Log BCF, Log Koa, and Log P, respectively. Lastly, Tree-SHAP analysis demonstrated that the data-centric-based QSAR model achieved high prediction performance for toxicity information by identifying key molecular descriptors highly correlated with toxicity indices. Therefore, the proposed QSAR model based on the data-centric XAI approach can be extended to predict the toxicity of potential pollutants in emerging printing chemicals, chemical process, semiconductor or display process.