• Asian Journal of Business Environment
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• v.7 no.2
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• pp.21-29
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• 2017

Purpose - Because of the development of smartphone and communication technology, Smart TV programs are filled with various contents and applications. This study included additional individual variables like innovativeness and self-efficacy, and characteristics of smart TV are both user-interface and function as exogenous factors based on TAM model. So, this study focuses on identifying the influencing factors of continuous use intention of smart TV traits and user ones and analyzing how they make influences on them in China market. Research design, data, and methodology - Totally 182 samples were adopted as appropriate ones for analysis in this study. They were collected from 20 February 2016 to 10 March 2016. Results - The results are as follows. First, function has positive influence on perceived usefulness. Second, innovation and user-interface make affirmative influences on perceived easiness. Third, perceived easiness has affirmative influence on perceived usefulness. Fourth, the perceived easiness and perceived usefulness make positive ones on continuous use intention. Fifth, perceived ease of use affects significantly on perceived usefulness. Conclusions - According to the findings, they (smart TV traits and user traits), influencing on continuous use intention, are possible to give significant implications on persistent development in China smart TV market.

• Journal of Mushroom
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• v.19 no.3
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• pp.134-139
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• 2021

A diverse group of plant-growth promoting bacteria were isolated in button mushroom (Agaricus bisporus) media to investigate the plant-growth promoting traits of compounds including indole acetic acid (IAA), ammonia, 1-aminocyclopropane-1-carboxylic acid deaminase, siderophore, and hydrogen cyanide. Twenty-one bacterial strains showing positive effects for all the test traits were selected and classified to confirm bacterial diversity in the media habitat. Plant-growth promoting traits of the isolates were also assessed. All strains produced IAA ranging from 20 ㎍/mL to 250 ㎍/mL. Most of the isolates produced more than 80% siderophore. Four strains (Pantoea sp., PSB-08, Bacillus sp., PSB-13, Pseudomonas sp., PSB-17, and Enterobacter sp., PSB-21) showed outstanding performances for all the tested traits. In a bioassay of these four strains using mung bean plant, the best growth performances (23.16 cm, 22.98 cm, 2.27 g/plant, and 1.83 g/plant for shoot length, root length, shoot dry weight, and root dry weight, respectively) were obtained from the plants co-inoculated with Bacillus sp., PSB-13. The resultant data indicate that button mushroom media have got a diverse group of bacteria with plant growth promoting abilities. Thus, the media could be a good recycling resource for using to an effective bio-fertilizer.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.527-534
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• 2021

This study investigated the possibility of performing selection using 30-month carcass traits by estimating the genetic parameters of 24- and 30-month carcass traits. Data used in this study were the carcass traits of 13,151 heads slaughter at the age of 24 and 30 months. As a result of the study, the heritability of backfat thickness, carcass weight, eye muscle area and marbling score at 24 months of age were estimated to be 0.588, 0.354, 0.467 and 0.587, respectively. The heritability of backfat thickness, carcass weight, eye muscle area and marbling score at 30 months of age were estimated to be 0.498, 0.577, 0.505 and 0.530, respectively. The ranking correlation was 0.516 between the carcass selection indices of 24 and 30 months of age. By providing a 30-month selection index, it is possible to use semen suitable for farm profits, and more semen information can be provided to farms than previously. Furthermore, studies on a selection index based on 30-month carcass traits are needed to provide highly accurate information.

• Journal of Animal Science and Technology
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• v.63 no.4
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• pp.740-750
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• 2021

This study was performed to investigate genetic relationship of age at first calving (AFC) with body development and reproduction capacity in female Hanwoo. The data sets of 52,299 reproduction records of 19,566 heads calved from 2011 to 2019 and conformation records of 19565 heads born from 1997 to 2017 were analyzed by separating them based on age at first calving. In the analysis, conformation traits included the body condition score (BCS), height (HT), body width (BW), hip bone length (HL), hip bone width (HW), and final score (FS). The heritability and genetic correlation of AFC with conformation traits and calving interval (CI) were analyzed. The heritability for AFC was 0.716, 0.087, and 0.097 for the before and after 24 months and combined data, respectively. The genetic correlation of AFC before 24 months with BCS was -0.778, -0.600 with BW, and 0.442 with HT. The genetic correlation of AFC after 24 months with HT was -0.826, -0.706 with BW, -0.623 with HL, -0.456 with HW, and -0.675 with FS. When the first calving age of young heifers approached 24 months, BCS and BW decreased, and HT increased. When first calving is delayed to after 24 months, the conformation traits become smaller, which indicates that conformation to some extent affects the delay in AFC. The genetic correlation between CI and AFC was -0.116, 0.307, and 0.250 for the before and after 24 month of AFC and combined data, respectively. When first calving date approached 24 months, CI was reduced. The obtained results suggest that it is important that first calving occurs at an appropriate age. Additional research is needed to perform proper genetic evaluation of first calving age in Hanwoo cattle in Korea.

• Korean Journal of Agricultural Science
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• v.44 no.3
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• pp.375-383
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• 2017

This study was conducted to investigate the effects of sex, environmental factors, and feeding system on the carcass traits of Hanwoo (Korean Native Cattle). Data were collected from 7,866 heads slaughtered in Chungnam province during one-year period. Using the collected carcass traits data which greatly influence a Hanwoo's carcass grade, the effects of sex class, slaughter season, and feeding system were estimated. Backfat thickness of steers was significantly higher than that of bulls (p < 0.05). Marbling score was also the highest in steers when compared with cows and bulls (p < 0.05). Live weight and carcass weight were significantly higher in winter than in summer (p < 0.05). However, backfat thickness was significantly lower in summer than in other seasons (p < 0.05). Marbling score was higher in spring and fall than in summer and winter (p < 0.05). In terms of feeding systems, TMR (Total mixed ration) and TMF (Total mixed fermentation feed) fed groups showed the highest carcass grade (p < 0.05). However, the group fed TMR and formula feed at the final fattening period showed the lowest performance (p < 0.05) and it is assumed that some stress was associated to the feed change. The results reconfirm that castration may be recommended in order to improve meat quality and marbling scores in bulls. There was no consistent trend of seasonal effects of slaughter on carcass traits although some traits were significantly affected. Regarding the feeding system, either TMR or TMF can be supplied to achieve high feed efficiency and good carcass characteristics in Hanwoo.

• Journal of KIISE
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• v.44 no.7
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• pp.680-685
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• 2017

The emergence of online media and their data has enabled data-driven methods to solve challenging and complex tasks such as rumor classification problems. Recently, deep learning based models have been shown as one of the fastest and the most accurate algorithms to solve such problems. These new models, however, either rely on complete data or several days-worth of data, limiting their applicability in real time. In this study, we go beyond this limit and test the possibility of super early rumor detection via recurrent neural networks (RNNs). Our model takes in social media streams as time series input, along with basic meta-information about the rumongers including the follower count and the psycholinguistic traits of rumor content itself. Based on analyzing millions of social media posts on 498 real rumors and 494 non-rumor events, our RNN-based model detected rumors with only 30 initial posts (i.e., within a few hours of rumor circulation) with remarkable F1 score of 0.74. This finding widens the scope of new possibilities for building a fast and efficient rumor detection system.

• Journal of Animal Science and Technology
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• v.65 no.3
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• pp.588-595
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• 2023

The aim of this study was to investigate the effects of heat stress on milk traits in South Korea using comprehensive data (dairy production and climate). The dataset for this study comprised 1,498,232 test-day records for milk yield, fat- and protein-corrected milk, fat yield, protein yield, milk urea nitrogen (MUN), and somatic cell score (SCS) from 215,276 Holstein cows (primiparous: n = 122,087; multiparous: n = 93,189) in 2,419 South Korean dairy herds. Data were collected from July 2017 to April 2020 through the Dairy Cattle Improvement Program, and merged with meteorological data from 600 automatic weather stations through the Korea Meteorological Administration. The segmented regression model was used to estimate the effects of the temperature-humidity index (THI) on milk traits and elucidate the break point (BP) of the THI. To acquire the least-squares mean of milk traits, the generalized linear model was applied using fixed effects (region, calving year, calving month, parity, days in milk, and THI). For all parameters, the BP of THI was observed; in particular, milk production parameters dramatically decreased after a specific BP of THI (p < 0.05). In contrast, MUN and SCS drastically increased when THI exceeded BP in all cows (p < 0.05) and primiparous cows (p < 0.05), respectively. Dairy cows in South Korea exhibited negative effects on milk traits (decrease in milk performance, increase in MUN, and SCS) when the THI exceeded 70; therefore, detailed feeding management is required to prevent heat stress in dairy cows.

• Asian-Australasian Journal of Animal Sciences
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• v.19 no.4
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• pp.468-474
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• 2006

Real time ultrasound data was generated on 10,596 live Hanwoo cows to study genetic variation on ultrasonic beef quality traits and to assess the best model to estimate genetic parameters on these traits. Pedigree stacking and data validation was done using the SAS statistical software and the genetic parameter estimates were obtained by EM-REML algorithm. Out of the five different multi-trait mixed animal models constructed, the optimal model included fixed effects of herd, year-season-appraisal, body condition score, linear and quadratic covariates for chest girth, the linear covariate effect of age and the random animal and residual effect of the five models studied. The heritability of longissimus muscle area (LMA), $12^{th}$ rib measurement of back fat thickness (BF) and marbling score (MS) was 0.11, 0.17 and 0.15, respectively. Genetic correlation of LMA vs. BF, LMA vs. MS and BF vs. MS was -0.15, 0.06 and 0.61, respectively. The results showed presence of genetic variation in these ultrasonic beef quality traits in Hanwoo cows and suggest that the selection of Hanwoo cows may be possible by performing ultrasonic scans on live animals, which will ultimately be helpful in reducing the generation interval and the cost of selection procedure.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.3
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• pp.309-319
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• 2017

Objective: Holsteins are known as the world's highest-milk producing dairy cattle. The purpose of this study was to identify genetic regions strongly associated with milk traits (milk production, fat, and protein) using Korean Holstein data. Methods: This study was performed using single nucleotide polymorphism (SNP) chip data (Illumina BovineSNP50 Beadchip) of 911 Korean Holstein individuals. We inferred each genomic estimated breeding values based on best linear unbiased prediction (BLUP) and ridge regression using BLUPF90 and R. We then performed a genome-wide association study and identified genetic regions related to milk traits. Results: We identified 9, 6, and 17 significant genetic regions related to milk production, fat and protein, respectively. These genes are newly reported in the genetic association with milk traits of Holstein. Conclusion: This study complements a recent Holstein genome-wide association studies that identified other SNPs and genes as the most significant variants. These results will help to expand the knowledge of the polygenic nature of milk production in Holsteins.

• Journal of Korean Academy of Nursing
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• v.18 no.1
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• pp.80-93
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• 1988

This study was planned and carried out to investigate the correlation between premenstrual syndrome and personality in order to provide informations basic to the prevention, alleviation, and care for the premenstrual syndrome. Data on premenstrual syndrome were gatherd from October 20 to 25, 1986 by questionnaire modified by the researcher based on Endicott's Premenstrual Assessment Form. Reliability of the instrument was tested by Cronbach's $\alpha$. Data on personality were gathered in March, 1986, by the high school autorities by standardized Personality Inventory Scale developed by Eung Yun Hwang were used. Subjects numbered 457, 95.2% of the first grade students of H. Girls High School located in Seoul. The correlation and difference between personality traits and premenstrual syndrome analysed by Pearson's Correlation Coefficient, and difference between groups were analysed by the t-test. Personality traits influencing premenstrual syndromal categories were analysed by the multiple regression. The results are as follows : I. The five highist categories of premenstrual syndrome among 18 categories revealed to be Social withdrawal, General discomfort, Lability, Fatigue and Hostility / Anger in rank order. II. Personality traits and Premenstrual syndrome ; 1. Tendency of Psychoneuroses(r＝0.43, p＜.001), psychoses(r＝.39, p＜.001) and anti-social behaviors (r＝0.43, p＜.001) revealed to be significantly correlated to premenstrual syndrome. Hypothesis 1 is accepted. 2. Emotional stability(r＝ -0.38, p＜.001), reflectiveness (r＝ -0.14, p＜.01), masculinity (r＝ -0.10, p＜05) and antonomy (r＝ -0.12, p＜.05) revealed significant correlation, While activity, dominance, sociability and achivement revealed no significant correlation. Hypothesis 2 is partially accepted. III. Significant models of personality traits influencing the premenstrual syndromal categories are ; 1. 5 personality traits : tendency of psychoneuroses, emotional stability, dominance, activity and autonomy revealed to influence Low mood / loss of pleasure significantly. ($R^2$＝.19) 2. 3 personality traits ; tendency of psychoneuroses, emotional stability and sociability revealed to influence Lability significantly. ($R^2$＝.15) 3. 5 personality traits ; tendency of psychoneuroses, activity, emotional stability, sociability and achievement revealed to influence Anxiety significantly.($R^2$＝.18) 4. 3 personality traits : tendency of psychoneuroses, emotional stability and sociability revealed to influence Miscellaneous mood / behavior changes significantly.($R^2$＝.18) 5. 3 personality traits : tendency of psychoneuroses, psychoses and reflectiveness revealed to influence Hysteroid features significantly.($R^2$＝.16) IV. No significant correlation between irregularity of menstruation and premenstrual syndrome was revealed. No significant difference between group of dysmenorrhea and group of non-dysmenorrhea in premenstrual syndrome was revealed.