• Korean Journal of Comparative Education
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• v.27 no.4
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• pp.187-209
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• 2017

The purpose of this study was to highlight the necessity of a conceptual reestablishment of world university evaluations. The hitherto most well-known and validated world university evaluation systems such as Times Higher Education (THE), Quacquarelli Symonds (QS) or Academic Ranking of World Universities (ARWU) primarily assess big universities with quantitative evaluation indicators and performance results in the rankings. Those Systems have instigated a kind of elitism in higher education and neglect numerous small or local institutions of higher education, instead of providing stakeholders with comprehensive information about the real possibilities of tertiary education so that they can choose an institution that is individually tailored to their needs. Also, the management boards of universities and policymakers in higher education have partly been manipulated by and partly taken advantage of the elitist ranking systems with an economic emphasis, as indicated by research-centered evaluations and industry-university cooperation. To supplement such educational defects and to redress the lack of world university evaluation systems, a new system called 'U-Multirank' has been implemented with the financial support of the European Commission since 2012. U-Multirank was designed and is enforced by an international team of project experts led by CHE(Centre for Higher Education/Germany), CHEPS(Center for Higher Education Policy Studies/Netherlands) and CWTS(Centre for Science and Technology Studies at Leiden University/Netherlands). The significant features of U-Multirank, compared with e.g., THE and ARWU, are its qualitative, multidimensional, user-oriented and individualized assessment methods. Above all, its website and its assessment results, based on a mobile operating system and designed simply for international users, present a self-organized and evolutionary model of world university evaluation systems in the digital and global era. To estimate the universal validity of the redefinition of the world university evaluation system using U-Multirank, an epistemological approach will be used that relies on Edgar Morin's Complexity Theory and Karl Popper's Philosophy of Science.

• Journal of Home Health Care Nursing
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• v.16 no.1
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• pp.12-21
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• 2009

Purpose: The survey-based study aimed to determine the distribution and clustering tendency of metabolic syndrome risk factors in urban residents, and cluster odds ratios. Methods: Cluster sampling involved 827 urban participants and analysis of the collected data. Results: Regarding the prevalence of metabolic syndrome risk factors used for diagnosis, abdominal obesity was higher in women(69.5%) than in men(34.3%), high blood pressure was higher in men(57%) than in women(46.5%), and blood sugar was higher in men(6.9%) than in women(5.7%). Clustering increased with increasing body mass index(BMI), weight:height ratio(W/Ht) and abdominal obesity Risk factors for females were 1.7 times higher than for males. Participants with a family history of metabolic syndrome displayed related risk factors 1.5 times more than participants without a family history. Participants having a BMI ranking them as obese were 9.5 times more likely to display metabolic syndrome risk factors than non-obese participants. Obese participants were 20 times more likely to display risk factors than non-obese participants. Conclusion: BMI, W/Ht and abdominal obesity correlate with clustering of metabolic syndrome risk factors. The risk is increased by smoking and family history. Exercise weight control and non-smoking are recommended for comprehensive management of clustering of metabolic syndrome risk factors.

• Journal of the Korean Home Economics Association
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• v.36 no.1
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• pp.143-155
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• 1998

This study was conducted to compare dietary intake and quality obtained by food frequency questionnaire(FFQ) and 24-hour recall method among 1249 Korean adults living in rural area. The survey was conducted twice; first with 65-items FFQ by interview and then with 24-hour recall method two years later. Nutrients intake estimated from two dietary methods showed significant difference. For nutrients except fat and iron, average intake value estimated from the FFQ were significantly higher than that from the 24-hour recall method(p<0.001). Ranking of the subjects by nutrient intake levels obtained by two methods were significantly correlated, but correlation coefficients were low. Percentage of subjects in the lowest or in the highest quintile by 24-hour recalls who belong to the nearest two categories by FFQ ranged from 45% to 61%, while the percentage falling into the opposite category ranged from 7% to 15%. Subjects' percentile rank of nutrient intake by 24-hour recall correlated with their average rank of nutrient intake by FFQ. Information on food groups by two method were not comparable because of the limited number of food items in FFQ. For most nutrients, RDA% or NAR from FFQ were higher than those from 24-hour recall, but INQ from 24-hour recall were higher than those from FFQ. From the results, results of 24-hour recall method seems to be useful in classifying subjects according to their nutrient intake if sample size is large enough.

• Asian Journal for Public Opinion Research
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• v.2 no.1
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• pp.15-31
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• 2014

This descriptive study evaluated the satisfaction in daily life of Thai people according to participants' socioeconomic characteristics. The accidental sample included 676 Thai people aged 20 and older who lived in Bangkok and urban Saraburi. The satisfaction in daily life questionnaire (${\alpha}=0.86$) was used to collect data. The ranking for each aspect of daily life satisfaction arranged from high to low are: family life (mean=3.39), human relations, housing, food, job, health, and income (mean=2.99). Females were found to have a significantly higher satisfaction with daily life than males (mean=22.81 vs. 21.91). Those who lived in Saraburi province were found to have a higher satisfaction with daily life than those in Bangkok. Married participants, participants age 50-59, participants from two-generation households of parents and unmarried children, participants who stated that they took better care of their health now compared to one year ago, and participants who consulted a doctor in the past month were found to have higher satisfaction with daily life than their counterparts.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.583-591
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• 2020

Employability has recently become the first target of the national higher education. Its model has been updated to catch the new trend of Industry 4.0. This paper aims at analyzing and ranking the determinants of undergraduate employability, focusing on business and economics majors in Ho Chi Minh City, Vietnam. In-depth interviews with content analysis have been primarily conducted to reach an agreement on a key group of factors: human capital, social capital, and identity. The Stochastic Fractal Search Algorithm (SFSA) is then applied to rank the sub-factors. Human capital is composed of three major elements: attitude, skill, and knowledge. Social capital is approached at both structural and cognitive aspects with three typical types: bonding, bridging, and linking. The analysis has confirmed the change of priority in employability determinants. Human capital is still a driver but the priority of attitude has been confirmed in the contemporary context. Then, social capital with the important order of linking, bridging, and bonding is emphasized. Skill, knowledge, and identity share the least weight in the model. It is noted that identity is newly proposed in the model but a certain role has been found. The findings are crucial for education strategies to enhance university graduate employability.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.39-48
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• 2020

This study analyzes PISA's ICT background survey on OECD countries published in December 2019 to analyze ICT accessibility and utilization of each subject. In Korea, ICT accessibility at home is 40.40%, ranking 17th, slightly higher than the OECD average (43.01%). Access to schools is 40.40%, ranking 21st below the OECD average(43.01%), which has improved from the lowest group to three in the middle three years ago. In nine subjects, the proportion of students using digital device in the classroom is 2.96%, well below the OECD average(8.22%), and ranked 31st in the OECD country. This shows that the state needs a change in education policy in order to cultivate the talent needed for the AI era.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1389-1393
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• 2012

Objective: To discuss the significance of DOG1, CD117 and PDGFRA in the diagnosis of gastrointestinal stromal tumors (GISTs), and analyze their correlations with clinicopathological features and risk ranking. Method: DOG1, CD117 and PDGFRA were detected with IHC Envision ldpe-g-nvp in 63 GISTs and 43 cases of non-GISTs, and analyzed for relations with clinicopathological factors (gender, age, location, tumor size, mitotic phase, histology) and risk degree. Results: The positive expression rate of DOG1, CD117 and PDGFRA in GISTs was 84.1% (53/63), 90.5% (57/63), 53.2% (33/63), respectively. Among the 6 CD117 negative cases, all were DOG1 positive and 5 were PDGFRA positive. Rates in patients with non-GISTs was 11.6%, 16.3%, 6.98%, respectively. Expression of DOG1 and PDGFRA demonstrated no significant variation with gender, age, position, tumor size, mitotic phase, histology, and risk rank. However, CD117 was related with position and histology (P=0.008 and P=0.045), those in the mesentery having a higher positive rate than those derived from stomach, small intestine, colon and rectum (50.0% vs 94.7%, P=0.008). Furthermore CD117 was also highly expressed in spindle and epithele types. Conclusions: DOG1 had a good sensitivity and specificity as a kind of newly discovered marker, especially for KIT negative GISTs. However, DOG1, CD117 and PDGFRA cannot be used for assessing the rish of patients.

• Journal of the Korean Society of Costume
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• v.57 no.10
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• pp.99-111
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• 2007

This paper was built by following next steps. First, based on the records of the Tongshinsa, the official diplomatic mission Joseon dispatched to Japan, the actual conditions of wearing a Danryung, a official robe, in the 18th century were researched. Then the difference of wearing state between the missions - in 1719, 1748 and 1764- was found and the reason why was analyzed. In result two distinctions were found: 1) A black Danryung was worn in 1719 at the banquets and while receiving an official letter of reply, but a red Danryung, Gongbok or Sibok on the later trips. 2) In 1764 travel records there was some confusion of the names Gongbok and Sibok, which denote the same item of robes, according to the writer. The reason why those changes and confusion were caused is analyzed as follows: 1) After the Japanese Invasion(1592) and the Manchu Invasion of Joseon(1636), a black Danryung replaced the Gongbok for a while. But after the mid-18th century, when the Gongbok was revived, that was reappeared in the official ceremonies. 2) In the mid-18th century, both Gongbok and Sibok system had been revised. But because both color system was similar, those revision became a cause of confusion between Gongbok and Sibok. For a while all ministers wore red Gongbok and Sibok, but after those revision the color of official's robe was changed by officials' rank: the higher ranking officials' Gongbok and Sibok are red, the lower ranking officials' are bluish green.

• Journal of Broadcast Engineering
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• v.5 no.1
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• pp.68-81
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• 2000

This paper proposes a single metric to measure and evaluate the retrieval effectiveness of image database retrieval system that requires an ordered ranking. There are four conditions to be a good ranking system. First, the number of relevant images among the retrieved should be as large as possible. Secondly, the number of irrelevant images should be smaller. Third, the average rank of relevant images should be higher. Last, the relevant images should be clustered close together. The conventional evaluation measures only reflect a part of the conditions listed above, and the evaluated results are coarse or inaccurate. The proposed NDS, however, resolves all those problems. In order to prove the efficiency of the NDS, we generate patterns of ${\_nC_r(_10C_5=252, _20C_9=167,960)}$ to evaluate and compare with other measures. The patterns were generated automatically by a recursive function call on the assumption the 'r' relevant images are retrieved within the range of 'n'.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.272-282
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• 2022

Between 2014 and 2019, the US lost more than 2.1 billion USD to phishing attacks, according to the FBI's Internet Crime Complaint Center, and COVID-19 scam complaints totaled more than 1,200. Phishing attacks reflect these awful effects. Phishing websites (PWs) detection appear in the literature. Previous methods included maintaining a centralized blacklist that is manually updated, but newly created pseudonyms cannot be detected. Several recent studies utilized supervised machine learning (SML) algorithms and schemes to manipulate the PWs detection problem. URL extraction-based algorithms and schemes. These studies demonstrate that some classification algorithms are more effective on different data sets. However, for the phishing site detection problem, no widely known classifier has been developed. This study is aimed at identifying the features and schemes of SML that work best in the face of PWs across all publicly available phishing data sets. The Scikit Learn library has eight widely used classification algorithms configured for assessment on the public phishing datasets. Eight was tested. Later, classification algorithms were used to measure accuracy on three different datasets for statistically significant differences, along with the Welch t-test. Assemblies and neural networks outclass classical algorithms in this study. On three publicly accessible phishing datasets, eight traditional SML algorithms were evaluated, and the results were calculated in terms of classification accuracy and classifier ranking as shown in tables 4 and 8. Eventually, on severely unbalanced datasets, classifiers that obtained higher than 99.0 percent classification accuracy. Finally, the results show that this could also be adapted and outperforms conventional techniques with good precision.