• IE interfaces
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• v.16 no.1
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• pp.85-93
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• 2003

The purposes of this study are to investigate perceived discomfort for static joint motions, and to propose rankings for the joint motions based on the perceived discomfort. The perceived discomfort was measured through an experiment using the free modulus method of the magnitude estimation, in which ten healthy college-age female students participated. The results showed that joints, joint motions and their levels significantly affected the perceived discomfort at $\alpha$=0.01, and that the interaction of joints and joint motion levels was also significant. Based on the experimental results, three rankings were proposed by joint and joint motions, by joints and by joint motions, which were very different from the existing ones. Especially, the proposed rankings were different from the males' published before in their order and magnitude. These rankings can be used as a valuable tool for better understanding potentially adverse effects of poor working postures in industrial sites, and as basic data for developing the postural classification scheme.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.3
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• pp.27-50
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• 2015

The top thirty universities in 2014 by the college rankings of the Korea Joongang Daily were chosen for the samples of this study to find how much academic libraries affect the competitiveness of universities. Evaluation scores of the universities in four areas, and building size, budgets, the number of collections and personnels were also decided as the variables in this study. The influence to the universities' evaluation and rankings of their libraries through average and correlation analysis was studied. The major findings of the study are: (1) Average analysis between metropolitan and non-metropolitan areas found that there were significant differences in globalization indicators, reputation, and social advance degree. Also, (2) Correlation analysis found that library budgets and the number of personnel highly affected the university evaluations or rankings compared to the other variables.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.367-375
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• 2021

The aim of this study was to identify the factors contributing to the auction price and total price of carcasses by using squared semi-partial correlation of carcass traits. The data used in this study were the carcass grades assigned to 7,145 head of Hanwoo slaughtered from 2013 to 2018 in Gyeonggi province and 106,779 head of Hanwoo slaughtered from 2013 to 2018 outside of Gyeonggi province. The rankings of the carcass traits contributing to the auction price were in the order of marbling score (86.70%), backfat thickness (10.42%), eye muscle area (1.40%), and carcass weight (0.92%) in Gyeonggi province. In Hanwoo slaughtered outside of Gyeonggi province, the rankings were in the order of marbling score (88.53%), backfat thickness (9.06%), eye muscle area (1.24%), and carcass weight (0.99%). The rankings of carcass traits contributing to the total price were in the order of marbling score (45.95%), carcass weight (45.60%), backfat thickness (6.49%) and eye muscle area (0.77%) in Gyeonggi province. In Hanwoo slaughtered outside Gyeonggi province, the rankings were in the order of marbling score (49.64%), carcass weight (43%), backfat thickness (5.86%), and eye muscle area (0.66%). Gyeonggi province Hanwoo had thinner backfat thickness than Hanwoo outside Gyeonggi, and it had a higher contribution to auction price and total price. Collectively, Hanwoo in Gyeonggi province showed higher contribution scores for backfat thickness. This study aimed to provide basic information to guide Hanwoo breeding and increase profits for Hanwoo farms through the analysis of each traits according to environmental factors.

• Korean Journal of Agricultural Science
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• v.46 no.3
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• pp.461-469
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• 2019

The aim of this study was to analyze the contribution of carcass traits (backfat thickness, eye muscle area, carcass weight and marbling score) and the season at slaughter to the price (auction and market) using squared semi-partial correlation. The season at slaughter (summer expressed as season_2, autumn as season_3, and winter as season_4) were added into the estimation as dummy variables, and spring was set as a default variable. In this study, the carcass grades of 22,298 Hanwoo steers slaughtered from 2012 to 2017 were used to performmultiple regression analysis. The rankings of the contribution of the carcass traits and the seasons at slaughter to the auction prices were in the order of marbling score (68.63%), season_4 (11.88%), backfat thickness (10.45%), eye muscle area (6.11%), season_3 (2.19%), season_2 (0.45%) and carcass weight (0.28%). (R-square of the regression = 0.4101). The rankings of the contribution to the total prices were in the order of carcass weight (51.74%), marbling score (32.12%), season_4 (6.04%), backfat thickness (5.54%), eye muscle area (3.22%), season_3 (1.14%), and season_2 (0.19%). (R-Square of the regression = 0.6486). As a result, season_3 and season_4 had a negative effect on the auction price and total price. Because of seasonal event such as Korean Thanksgiving Day and Korean New Year's Day on season_3 and season_4, much supply was needed to meet the high demand. Thus, the seasonal effect at slaughter could be another factor to be cosideredin when considering of slaughter or breeding.

• Journal of Korean Academy of Nursing
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• v.36 no.7
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• pp.1193-1203
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• 2006

Purpose: The purpose of this study was to describe the current status of utilization and costs of home health nursing care by the levels of medical institutes in Korea. Method: A secondary analysis of existing data was used from the national electronic data information(EDI) of 148 home health agencies for 6 months from May to Oct 2005 in total. Result: The 148 agencies had multiple services in cerebral infaction, essential hypertension, sequoia of cerebrovascular disease, type 2 diabetes mellitus, etc.. The highest 10 rankings of 76 categories of home health nursing services were composed of 96.4% of the total services, such as simple treatment, inflammatory treatment, urethra & bladder irrigation, inserting indwelling catheter etc., in that order. The highest 20 rankings of 226 categories of home examination services were composed of 77.0% of the total home examination services. In addition, the average cost of home health care per visit was 46,088 Won (${\fallingdotseq}$ 48 $, 1 $=960 Won). The costs ranged from 74,523 Won (${\fallingdotseq}$78 $, loss of chronic kidney function, N18) to 32,270 Won (${\fallingdotseq}$34 $, other cerebrovascular diseases, 167). Conclusion: Results suggest that client characteristics of hospital based HHNC are not different from community based HHNC or visiting nursing services for elderly. The national results will contribute to baseline data used to establish a policy for the home health nursing care system and education.

• Journal of muscle and joint health
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• v.30 no.3
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• pp.218-229
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• 2023

Purpose: This study aimed to assess and compare the effectiveness of various fall prevention interventions in hospitals through a network meta-analysis. Methods: A network meta-analysis was conducted using the "netmeta" package in R software (v4.1), employing a frequency method. Odds ratios of fall rates and injurious fall rates were utilized to confirm the effects of interventions for fall prevention. Comparative rankings of these interventions were determined using cumulative probability (P-score). Results: Comparative rankings via cumulative probability (P-scores) revealed individualized education as the most effective intervention for fall incidence (P-Score 87.8%). Followed by fall-preventing sensors (60.9%), multicomponent interventions (47.4%), usual care (33.2%), and environmental modification (20.7%). For fall-related injuries, individualized education ranked highest (P-Score 97.1%), followed by multicomponent interventions (76.0%), usual care (47.6%), environmental modification (24.2%), and fall-preventing sensors (5.1%). Conclusion: This study provides valuable insights into the relative effectiveness of diverse interventions in preventing fall incidence through network meta-analysis. The findings aim to support nurses in making informed decisions when implementing fall prevention strategies in clinical practice.

• Journal of Preventive Medicine and Public Health
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• v.25 no.1 s.37
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• pp.64-72
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• 1992

To provide the information necessary for the insurance medicine management plan, price discount rates among the insurance medicines were studied. A total of 2,107 items of insurance medicine of which prices were discounted via governmental inspections of real transactional process of insurance medicine were analysed. The conclusions are as follows; 1. Among the variables relevant to the characteristics of manufacturers, price discount rates of insurance medicines were statistically significant with production rankings of manufacturers, incorporation year, existence of investments by foreign corporation, existence of a research institute, and enrollment in the exchange. And among the variables relevant to the properties of medicines, the number of enrolled items which have the same components, classification, the date of new enrollment, the sales of items, and the number of raw materials in the items were statistically significant. 2. Stepwise multiple regression was done to identify the factors which affect the price discount rates of insurance medicines. The number of enrolled items which have the same components, production rankings of manufactures, classification number (medicines for function of tissue cells), incorporation year(1940-1949), existence of investments by foreign corporations, classification number (anti-germ medicines), number of raw materials In the items, the sales of items, and medicines whose major objective is not treatment were significant variables and the $R^2$-value for these variables was 21.2%. Considering all of the above results, for management of insurance medicines, it seems important that the real transactional prices of insurance medicines should be identified systematically, focusing on the properties which affect the price discount rates of insurance medicines.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3571-3587
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• 2021

For accurately analysing and forecasting the social networks of China's political, economic and social power elites, it is necessary to develop a database that collates their information. The development of such a database involves three stages: data definition, data collection and data quality maintenance. The present study recommends distinctive solutions in overcoming the challenges that occur in existing comparable databases. We used organizational and event factors to identify the Chinese power elites to be included in the database, and used their memberships, social relations and interactions in combination with flows data collection methodologies to determine the associations between them. The system can be used to determine the optimal relationship path (i.e., the shortest path) to reach a target elite and to identify of the most important power elite in a social network (e.g., degree, closeness and eigenvector centrality) or a community (e.g., a clique or a cluster). We have used three social network analysis tools (i.e., R, UCINET and NetMiner) in order to find the important nodes in the network. We compared the results of centrality rankings of each tool. We found that all three tools are providing slightly different results of centrality. This is because different tools use different algorithms and even within the same tool there are various libraries which provide the same functionality (i.e., ggraph, igraph and sna in R that provide the different function to calculate centrality). As there are chances that the results may not be the same (i.e. centrality rankings indicating the most important nodes can be varied), we recommend a comparison test using different tools to get accurate results.

• Journal of Information Science Theory and Practice
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• v.3 no.2
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• pp.42-57
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• 2015

Purpose. : The present study is an attempt to find out the impact of self-citations on Impact Factor (IF) across disciplines. The study examines the number of research articles published across 27 major subject fields covered by SCImago, encompassing as many as 310 sub-disciplines. The study evaluates aspects like percentage of self-citations across each discipline, leading self-citing countries and continents, and the impact of self-citation on their IF. Scope. : The study is global in nature, as it evaluates the trend of self-citation and its impact on IF of all the major subject disciplines of the world, along with countries and continents. IF has been calculated for the year 2012 by analyzing the articles published during the years 2010 and 2011. Methodology/Approach. : The study is empirical in nature; as such, statistical and mathematical tools and techniques have been employed to work out the distribution across disciplines. The evaluation has been purely under-taken on the secondary data, retrieved from SCImago Journal and Country Ranking. Findings. : Self-citations play a very significant part in inflating IF. All the subject fields under study are influenced by the practice of self-citation, ranging from 33.14% to 52.38%. Compared to the social sciences and the humanities, subject fields falling under the purview of pure and applied sciences have a higher number of self-citations, but a far lesser percentage than the social sciences and humanities. Upon excluding self-citations, a substantial amount of change was observed in the IF of subject fields under study, as 18 (66.66%) out of 27 subjects fields faced shuffle in their rankings. Variation in rankings based on IF with and without self-citation was observed at subject level, country level, and continental level.

• Journal of Information Technology Applications and Management
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• v.18 no.4
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• pp.131-148
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• 2011

Our work empirically investigates the cultural differences of Social Networking Service (SNS) users in China, Korea and U.S. We construct a survey questionnaire from existing literature and test it for reliability, validity, and model fit. Then we collect data and validate the cultural differences of SNS users in three nations. Our results show different rankings from existing literature in cultural dimensions about three nations. In terms of masculinity, we find China > U.S. > Korea, similar to Hofstede. In individualism, we find U.S. > Korea > China, different from Hofstede (U.S. > China > Korea). In power distance, it is shown that Korea > China > U.S., different from Hofstede (China > Korea > U.S.). Uncertainty avoidance is found that U.S. > Korea > China, lowered ranking of Korea from the top among three nations in Hofstede. We find that these outcomes would be useful in updating national culture of the three nations and for future research about cultural impacts on SNS adoption.