• Korea Journal of Hospital Management
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• v.28 no.4
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• pp.33-46
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• 2023

Purpose: This study analyzed the research published in KCI-registered journals related to healthcare marketing for the last 27 years from 1995 to 2022 to identify academic research trends, the specificity of the healthcare field and to suggest future research directions. Methodology: A total of 213 articles were selected for this study, and a descriptive analysis of the period and journals was conducted, as well as the analysis of research topics and keywords from the perspective of marketing strategy factors and performance factors. Findings: A total of 213 articles related to healthcare marketing have been published in the last 27 years. The descriptive analysis showed a steady quantitative increase, but the STP field showed a decreasing trend, and many papers were mainly published in the Korean Journal of Hospital Management. According to the analysis of research topics and keywords, STP field will be hard to become an active research topic in the future, and even in the 7P field, only Product, People, and Process can be researched according to medical law regulations, and other factors such as PX & WOM, CRM, and the Internet fields are expected to be research topics. Implications: Through the analysis of research trends over the past 27 years, we were able to identify the specificity of the healthcare marketing field in Korea and suggest future research directions based on this.

• Journal of Dairy Science and Biotechnology
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• v.29 no.2
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• pp.25-35
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• 2011

The objectives of this study were to evaluate the sensory characteristic quality of commercial milk brands selling in the market under the preservation at the temperature of $7^{\circ}C$ and $10^{\circ}C$ stored during the period of shelf-life. Quantitative descriptive analysis after developing of descriptive terms and cluster characterization by PCA analysis over a total of 128 LTLT, HTST, UHT and UHT-ESL milks, were conducted by 8 trained panelists. A total of fourteen attributes; three aroma attributes (grassy, milky, cultured milk aroma) and seven flavor/taste attributes (sweet, salty, sour, milk, cooked, cheesy, paper board) and one aftertaste attributes (rancid flavor) and one texture attributes (viscous), were developed as descriptive terms. Significant differences (P<0.01) in the sensory attributes; sweet, milky, cheesy etc. in UHT milk and sour, cheesy, paper board, rancid etc. in UHT-ESL milk were also found between the two different temperatures within the shelf life, but both type of pasteurized milk samples (LTLT and HTST) showed significant differences (P<0.01) in the attributes, such as cultured milk aroma, salty, sour, cheesy, rancid in LTLT milk and grassy, milky, salty in HTST milk and difference (P<0.05) in cultured milk aroma for HTST milk. Therefore, from the viewpoint of not only hygienic quality but also sensory characteristics, it is required for the better acceptance of milk consumers to amendment on the regulation in relation to the preservation standard of pasteurized milk as well as UHT milk to lower than $7^{\circ}C$.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.11
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• pp.1878-1885
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• 2013

The purposes of this study are to generate sensory profile, measure consumer acceptance, and determine liking and disliking factors of aseptic-packaged rice porridges (APRP). Five APRPs made by five different rice cultivars were used for this study. Twenty-one attributes were generated by trained panelists. Finally, 16 attributes were determined as descriptive terms for APRP. Each cultivar showed a different descriptive sensory profile. In a consumer acceptance test, there was no statistical difference (P>0.05) in the acceptances of the overall, appearance, taste, texture, viscosity, and rice particle texture among the 5 APRPs. SW52 showed the highest acceptance ratings in the overall, appearance, taste and texture, followed by SR. A total of 52% of consumers showed preference toward SW52 and SR. SW63 showed the lowest ratings and no consumer preference pattern. Consumers were divided into two groups by a cluster analysis; one was the consumers (C1) who liked APRP, and the other was the consumers (C2) who had a neutral stand in general. By correlating the results from descriptive analysis and consumer ratings from C1, liking and disliking factors for consumer acceptance were determined. The disliking factors were bitterness, feeling of surface, stickiness, metallic flavor, roasted aroma, and thickness. The liking factors were old cooked rice aroma/flavor. The disliking factors dominated in the determination of acceptability of APRP. Selecting rice cultivars that had low intensities of disliking factors is the key for APRP development.

• Economic and Environmental Geology
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• v.55 no.1
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• pp.1-17
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• 2022

The mechanical and thermal properties of the rock masses can affect the performance associated with both the isolating and retarding capacities of radioactive materials within the deep geological disposal system for High-Level Radioactive Waste (HLW). In this study, the essential parameters for the site descriptive model (SDM) related to the rock mechanics and thermal properties of the HLW disposal facilities site were reviewed, and the technical background was explored through the cases of the preceding site descriptive models developed by SKB (Swedish Nuclear and Fuel Management Company), Sweden and Posiva, Finland. SKB and Posiva studied parameters essential for the investigation and evaluation of mechanical and thermal properties, and derived a rock mechanics site descriptive model for safety evaluation and construction of the HLW disposal facilities. The rock mechanics SDM includes the results obtained from investigation and evaluation of the strength and deformability of intact rocks, fractures, and fractured rock masses, as well as the geometry of large-scaled deformation zones, the small-scaled fracture network system, thermal properties of rocks, and the in situ stress distribution of the disposal site. In addition, the site descriptive model should provide the sensitivity analysis results for the input parameters, and present the results obtained from evaluation of uncertainty.

• Korean Journal of Food Science and Technology
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• v.44 no.5
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• pp.648-652
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• 2012

The sensory characteristics of nine commercially distilled soju samples were determined by sensory descriptive analysis. Eight aroma attributes, as well as four flavor/taste attributes, and six mouth-feel related attributes were evaluated by 9 judges. The descriptive data set was initially analyzed for a significant overall product effect by employing a three-way mixed model analysis of variance (judges, samples, and replications) as well as two-way interactions, with judges treated as random. In addition, correlations between mean attribute ratings were calculated, and a principal component analysis (PCA) of the mean attribute ratings employing the covariance matrix was conducted. Based on the PCA, distilled soju samples were primarily separated along the first principal component, which accounted for 66% of the total variance between the samples, with high intensities of 'alcohol taste' and 'alcohol aroma' versus 'yeast aroma'. The second principal component accounted for 14% of the total variance. Soju containing high alcohol showed stronger intensities of 'bitterness', 'alcohol taste', 'alcohol aroma', as well as all mouth-feel attributes.

• Asian-Australasian Journal of Animal Sciences
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• v.11 no.5
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• pp.463-469
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• 1998

Factor analysis was applied as a multivariate statistical technique to official genetic evaluations of type classification traits for 1,265,785 Holstein cows and 10,321 sires computed from data collected between August 1982 and June 1994 in Canada. Type traits included eighteen linear descriptive traits and eight major score card traits. Principal components of the factor analysis showed that only five factors explain the information of the genetic value of linear descriptive traits for both cows and sires. Factor 1 included traits related to mammary system, like texture, median suspensory, fore attachment, fore teat placement and rear attachment height and width. Factor 2 described stature, size, chest width and pin width. These two factors had a similar pattern for both cows and sires. In constrast, Factor 3 for cows involved only bone-quality, while in addition for sires, Factor 3 included foot angle, rear legs desirability and legs set. Factor 4 for cows related to foot angle, set of rear leg and leg desirability, while Factor 4 related to loin strenth and pin setting for sires. Finally, Factor 5 included loin strength and pin setting for cows and described only pin setting for sires. Two factors only were required to describe score card traits of cows and sires. Factor 1 related to final score, feet and legs, udder traits, mammary system and dairy character, while frame/capacity and rump were described by Factor 2. Communality estimates which determine the proportion of variance of a type trait that is shared with other type traits via the common factor variant were high, the highest ${\geq}$ 80% for final score, stature, size and chest width. Pin width and pin desirability had the lowest communality, 56% and 37%. Results indicated shifts in emphasis over the twelve-year period away from udder traits and dairy character, and towards size, scale and width traits. A new system that computes fmal score from type components has been initiated.

• Journal of the Korean Society for information Management
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• v.26 no.2
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• pp.173-194
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• 2009

Recently, semantic search techniques which are based on information space as consisting of nonambiguous, non-redundant, formal pieces of ontological knowledge have been developed so that users do exploit large knowledge bases. The purpose of the study is to design more user-friendly and smarter retrieval interface based on ontological analysis, which can provide more precise information by reducing semantic ambiguity or more rich linked information based on well-defined relationships. Therefore, this study, first of all, focuses on ontological analysis on researcher information as selecting descriptive elements, defining classes and properties of descriptive elements, and identifying relationships between the properties and their restriction between relationships. Next, the study designs the prototypical retrieval interface based on ontology-based representation, which supports to semantic searching and browsing regarding researchers as a full-fledged domain. On the proposed retrieval interface, users can search various facts for researcher information such as research outputs or the personal information, or carrier history and browse the social connection of the researchers such as researcher group that is lecturing or researching on the same subject or involving in the same intellectual communication.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.409-415
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• 2020

Objective: This study is a descriptive research study aimed to identify the needs of self-reinforcement education by applying IPA(Important-Performance-Analysis) techniques to develop the health care empowerment programs for the elderly with hypertension. Methods: The subjects of this study were 128 elderly people with hypertension over 65 years of age in areas A and B, and data were collected from 6 researchers and research assistants from May 11 to June 26, 2020. The collected data were analyzed by frequency analysis, descriptive statistics, and t-test. Results: Although the question with the highest education demands were 'I try to get my health care providers to my preferences for my treatment.' and with the greatest difference between importance and performance is the question 'I take my commitment to my treatment seriously'. Conclusion: From the results of this study, it is considered that a strategy that reflects the components of educational needs and healthcare empowerment is necessary when developing healthcare empowerment programs for the elderly with hypertension.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2101-2121
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• 2020

The rapid growth of instructional videos repositories and their widespread use as a tool to support education have raised the need of studies to assess the quality of those educational resources and their impact on the quality of learning process that depends on them. Khan Academy (KA) repository is one of the prominent educational videos' repositories. It is famous and widely used by different types of learners, students and teachers. To better understand its characteristics and the impact of such repositories on education, we gathered a huge amount of KA data using its API and different web scraping techniques, then we analyzed them. This paper reports the first quantitative and descriptive analysis of Khan Academy repository (KA repository) of open video lessons. First, we described the structure of repository. Then, we demonstrated some analyses highlighting content-based growth and evolution. Those descriptive analyses spotted the main important findings in KA repository. Finally, we focused on users' interactions with video lessons. Those interactions consisted of questions and answers posted on videos. We developed interaction profiles for those videos based on the number of users' interactions. We conducted regression analysis and statistical tests to mine the relation between those profiles and some quality related proposed metrics. The results of analysis showed that all interaction profiles are highly affected by video length and reuse rate in different subjects. We believe that our study demonstrated in this paper provides valuable information in understanding the logic and the learning mechanism inside learning repositories, which can have major impacts on the education field in general, and particularly on the informal learning process and the instructional design process. This study can be considered as one of the first quantitative studies to shed the light on Khan Academy as an open educational resources (OER) repository. The results presented in this paper are crucial in understanding KA videos repository, its characteristics and its impact on education.

• Food Science of Animal Resources
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• v.21 no.4
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• pp.300-306
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• 2001

This study was carried out to compare the quality of imported chicken breast meats with domestic esse. In the proximate analysis. Thai chicken breast meats showed the highest content of tile crude protein(P<0.001), and the lowest contents of the crude fat and moisture. KAB(breast meat purchased at Korean traditional market) were higher. In total plate counts and in E. coli than other (P<0.001). and showed the highest TBARS value. In the descriptive analysis for the fresh meats. Thai chicken showed the highest acceptability score. In the results of cooked meat. KAB showed the highest acceptability score.