• Journal of the Society of Cosmetic Scientists of Korea
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• v.39 no.4
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• pp.295-302
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• 2013

In this study, the antioxidative effects and inhibitory activities of unripened fruit extract of Rubus coreanus Miquel (R. coreanus Miquel) on tyrosinase were investigated and the potential applicability as a cosmeceutical ingredients was evaluated. All experiments were performed with 50% ethanol extract, ethyl acetate fraction and aglycone fraction of unripened fruit extract of R. coreanus Miquel. The DPPH (1,1-diphenyl-2-picrylhydrazyl) scavenging activites ($FSC_{50}$) of 50% ethanol extract (6.56 ${\mu}g/mL$) and ethyl acetate fraction (6.14 ${\mu}g/mL$) of unripened fruit extract of R. coreanus Miquel were higher than (+)-${\alpha}$-tocopherol (8.98 ${\mu}g/mL$), which is known as a typical hydrophobic antioxidant. Reactive oxygen species (ROS) scavenging activities ($OSC_{50}$) of 50% ethanol extract (0.83 ${\mu}g/mL$), ethyl acetate fraction (0.84 ${\mu}g/mL$) and aglycone fraction (1.13 ${\mu}g/mL$) of R. coreanus Miquel on ROS generated in $Fe^{3+}-EDTA/H_2O_2$ system were higher than L-ascorbic acid (1.5 ${\mu}g/mL$), which is known as s typical hydrophilic antioxidant. The cellular protective effect of extract and fraction of unripened fruit extract of R. coreanus Miquel on the rose bengal sensitized photohemolysis of human erythrocytes was increased in a concentration dependent manner (1 ~ 50 ${\mu}g/mL$). And 50% ethanol extract in 50 ${\mu}g/mL$ showed the most protective effect among extracts (${\tau}_{50}$ = 296.3 min). The inhibitory effects on tyrosinase of ethyl acetate and agylcone fractions were higher than arbutin. These results indicate that unripened fruit extracts of R. coreanus Miquel can be applied to antioxidant scavenging ROS including radical as an alternative whitening agent to replace arbutin.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.21 no.12
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• pp.715-732
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• 2009

This article reviews the papers published in the Korean Journal of Air-Conditioning and Refrigeration Engineering during 2008. It is intended to understand the status of current research in the areas of heating, cooling, ventilation, sanitation, and indoor environments of buildings and plant facilities. Conclusions are as follows. (1) Research trends in thermal and fluid engineering have been surveyed in the categories of general fluid flow, fluid machinery and piping, new and renewable energy, and fire. Well-developed CFD technologies were widely applied in developing facilities and their systems. New research topics include fire, fuel cell, and solar energy. Research was mainly focused on flow distribution and optimization in the fields of fluid machinery and piping. Topics related to the development of fans and compressors had been popular, but were no longer investigated widely. Research papers on micro heat exchangers using nanofluids and micro pumps were also not presented during this period. There were some studies on thermal reliability and performance in the fields of new and renewable energy. Numerical simulations of smoke ventilation and the spread of fire were the main topics in the field of fire. (2) Research works on heat transfer presented in 2008 have been reviewed in the categories of heat transfer characteristics, industrial heat exchangers, and ground heat exchangers. Research on heat transfer characteristics included thermal transport in cryogenic vessels, dish solar collectors, radiative thermal reflectors, variable conductance heat pipes, and flow condensation and evaporation of refrigerants. In the area of industrial heat exchangers, examined are research on micro-channel plate heat exchangers, liquid cooled cold plates, fin-tube heat exchangers, and frost behavior of heat exchanger fins. Measurements on ground thermal conductivity and on the thermal diffusion characteristics of ground heat exchangers were reported. (3) In the field of refrigeration, many studies were presented on simultaneous heating and cooling heat pump systems. Switching between various operation modes and optimizing the refrigerant charge were considered in this research. Studies of heat pump systems using unutilized energy sources such as sewage water and river water were reported. Evaporative cooling was studied both theoretically and experimentally as a potential alternative to the conventional methods. (4) Research papers on building facilities have been reviewed and divided into studies on heat and cold sources, air conditioning and air cleaning, ventilation, automatic control of heat sources with piping systems, and sound reduction in hydraulic turbine dynamo rooms. In particular, considered were efficient and effective uses of energy resulting in reduced environmental pollution and operating costs. (5) In the field of building environments, many studies focused on health and comfort. Ventilation. system performance was considered to be important in improving indoor air conditions. Due to high oil prices, various tests were planned to examine building energy consumption and to cut life cycle costs.

• Journal of Korea Water Resources Association
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• v.51 no.5
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• pp.439-449
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• 2018

Many potential sources of bias are used in several steps of the radar-rainfall estimation process because the hydrological and meteorological radars measure the rainfall amount indirectly. Previous studies on radar-rainfall uncertainties were performed to reduce the uncertainty of each step by using bias correction methods in the quantitative radar-rainfall estimation process. However, these studies do not provide comprehensive uncertainty for the entire process and the relative ratios of uncertainty between each step. Consequently, in this study, a suitable approach is proposed that can quantify the uncertainties at each step of the quantitative radar-rainfall estimation process and show the uncertainty propagation through the entire process. First, it is proposed that, in the suitable approach, the new concept can present the initial and final uncertainties, variation of the uncertainty as well as the relative ratio of uncertainty at each step. Second, the Maximum Entropy Method (MEM) and Uncertainty Delta Method (UDM) were applied to quantify the uncertainty and analyze the uncertainty propagation for the entire process. Third, for the uncertainty quantification of radar-rainfall estimation at each step, two quality control algorithms, two radar-rainfall estimation relations, and two bias correction methods as post-processing through the radar-rainfall estimation process in 18 rainfall cases in 2012. For the proposed approach, in the MEM results, the final uncertainty (from post-processing bias correction method step: ME = 3.81) was smaller than the initial uncertainty (from quality control step: ME = 4.28) and, in the UDM results, the initial uncertainty (UDM = 5.33) was greater than the final uncertainty (UDM = 4.75). However uncertainty of the radar-rainfall estimation step was greater because of the use of an unsuitable relation. Furthermore, it was also determined in this study that selecting the appropriate method for each stage would gradually reduce the uncertainty at each step. Therefore, the results indicate that this new approach can significantly quantify uncertainty in the radar-rainfall estimation process and contribute to more accurate estimates of radar rainfall.

• Journal of Home Health Care Nursing
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• v.11 no.1
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• pp.5-13
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• 2004

The home health care industry has grown rapidly and can be expected to continue to grow in the foreseeable future. Home health care refers to the practice of nursing applied to clients with a health condition in the clients place of residence. clients and their designated care givers are the focus at home health nursing practice. The goal of care is to initiate. manage and evaluate the resources needed to promote the clients optimal level of well-being and function. Nursing activities necessary to achieve this goal may warrant preventive maintenance and restorative emphases to prevent potential problems from developing. Many project program were suggested home health care model for Korea's health care system and policy direction for expansion and establishment of home health care .But the aim of this paper is to provide on overview for theoretical frame work in home health care. Theories and conceptual frameworks or models are important nursing because they define and guide the boundaries of professional practice and identify key nurse-patient-caregiver relationships that emerge with caring. Following is the research with an investigation of the literature review in the University of Arizona international medline database, In conclusion, are as followers: First, many nursing theorists have had a tremendous impact on nursing practice. the following highlights those nursing theorists that are particularly helpful in understanding home health care. 1. Florence Nightingale : Our earliest theoretical legacy. Nightingale's believes are reflected in basic infection control practice such as hand washing and infectious waste disposal and are key nursing interventions in home care. 2. Martha Roger's :Science of unitary human beings theory. Rorger's believed that the focus of shared. non invasive healing modelities is the human environmental field rather than direct physical care. These modelities continue to evolve as our awareness (reflecting greater diversity, faster rhythms, motions, and ways of knowing) transcends time and space, allowing individuals to get in touch with their integral nature of unbroken wholeness. On people as ever changing energy fields have special relevance in home care especially with hospice and palliative care applications. 3. Madeline Leininger's; Transcultural nursing theory. Home care nurses move through a variety of communities and often care for patients from different cultural back grounds. Therefore Leininger's work has a good that with home care because home care nursing practice is very culturally focused. 4. Dorothea Orem's : Self care deficit theory. Orem's theory views care as something to be performed by both nurses and patients. The role of the nurse is to provide education and support that help patients acquire the necessary activities to perform self-care. Orem's theory is foundational to have care because it begins to truly acknowledge the role of the patient in managing his or her own health. which is referred to as self-care. 5. Margaret Neuman's; Health as expending consciousness theory. Neuman believes that health compasses disease and reflects an underlying pattern of person-environment interaction. A key application of 'Neuman's work to home care is for nurses to understand that health and illness do not necessarily exist at opposite ends of a continuum. 6. Jean Watson's: Theory of human caring. Watson's theory of human caring in nursing proposes human caring as the moral ideal of nursing. Nurses participate human caring to protect, enhance and preserve humanity by assisting individuals to fing meaning in illness. pain and existence and to help others gain self knowledge. self control. and self healing such thinking lends richness to theory development. as well as clinical practice in home care. Second, Robin Rice : Dynamic self determination for self care. (A theoretical framework for home care) Dynamical self determination for self care can be useful to home care nurses in a variety of ways. As research tool it can be reflected in the interview process when the home visit. The home care nurse's role is that of facilitator of patient self-determination for self care through numerous strategies. including patient education and case management.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.99-112
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• 2010

Ensemble learning is a method for improving the performance of classification and prediction algorithms. It is a method for finding a highly accurateclassifier on the training set by constructing and combining an ensemble of weak classifiers, each of which needs only to be moderately accurate on the training set. Ensemble learning has received considerable attention from machine learning and artificial intelligence fields because of its remarkable performance improvement and flexible integration with the traditional learning algorithms such as decision tree (DT), neural networks (NN), and SVM, etc. In those researches, all of DT ensemble studies have demonstrated impressive improvements in the generalization behavior of DT, while NN and SVM ensemble studies have not shown remarkable performance as shown in DT ensembles. Recently, several works have reported that the performance of ensemble can be degraded where multiple classifiers of an ensemble are highly correlated with, and thereby result in multicollinearity problem, which leads to performance degradation of the ensemble. They have also proposed the differentiated learning strategies to cope with performance degradation problem. Hansen and Salamon (1990) insisted that it is necessary and sufficient for the performance enhancement of an ensemble that the ensemble should contain diverse classifiers. Breiman (1996) explored that ensemble learning can increase the performance of unstable learning algorithms, but does not show remarkable performance improvement on stable learning algorithms. Unstable learning algorithms such as decision tree learners are sensitive to the change of the training data, and thus small changes in the training data can yield large changes in the generated classifiers. Therefore, ensemble with unstable learning algorithms can guarantee some diversity among the classifiers. To the contrary, stable learning algorithms such as NN and SVM generate similar classifiers in spite of small changes of the training data, and thus the correlation among the resulting classifiers is very high. This high correlation results in multicollinearity problem, which leads to performance degradation of the ensemble. Kim,s work (2009) showedthe performance comparison in bankruptcy prediction on Korea firms using tradition prediction algorithms such as NN, DT, and SVM. It reports that stable learning algorithms such as NN and SVM have higher predictability than the unstable DT. Meanwhile, with respect to their ensemble learning, DT ensemble shows the more improved performance than NN and SVM ensemble. Further analysis with variance inflation factor (VIF) analysis empirically proves that performance degradation of ensemble is due to multicollinearity problem. It also proposes that optimization of ensemble is needed to cope with such a problem. This paper proposes a hybrid system for coverage optimization of NN ensemble (CO-NN) in order to improve the performance of NN ensemble. Coverage optimization is a technique of choosing a sub-ensemble from an original ensemble to guarantee the diversity of classifiers in coverage optimization process. CO-NN uses GA which has been widely used for various optimization problems to deal with the coverage optimization problem. The GA chromosomes for the coverage optimization are encoded into binary strings, each bit of which indicates individual classifier. The fitness function is defined as maximization of error reduction and a constraint of variance inflation factor (VIF), which is one of the generally used methods to measure multicollinearity, is added to insure the diversity of classifiers by removing high correlation among the classifiers. We use Microsoft Excel and the GAs software package called Evolver. Experiments on company failure prediction have shown that CO-NN is effectively applied in the stable performance enhancement of NNensembles through the choice of classifiers by considering the correlations of the ensemble. The classifiers which have the potential multicollinearity problem are removed by the coverage optimization process of CO-NN and thereby CO-NN has shown higher performance than a single NN classifier and NN ensemble at 1% significance level, and DT ensemble at 5% significance level. However, there remain further research issues. First, decision optimization process to find optimal combination function should be considered in further research. Secondly, various learning strategies to deal with data noise should be introduced in more advanced further researches in the future.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.123-136
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• 2014

Recently, online shopping has further developed as the use of the Internet and a variety of smart mobile devices becomes more prevalent. The increase in the scale of such shopping has led to the creation of many Internet shopping malls. Consequently, there is a tendency for increasingly fierce competition among online retailers, and as a result, many Internet shopping malls are making significant attempts to attract online users to their sites. One such attempt is keyword marketing, whereby a retail site pays a fee to expose its link to potential customers when they insert a specific keyword on an Internet portal site. The price related to each keyword is generally estimated by the keyword's frequency of appearance. However, it is widely accepted that the price of keywords cannot be based solely on their frequency because many keywords may appear frequently but have little relationship to shopping. This implies that it is unreasonable for an online shopping mall to spend a great deal on some keywords simply because people frequently use them. Therefore, from the perspective of shopping malls, a specialized process is required to extract meaningful keywords. Further, the demand for automating this extraction process is increasing because of the drive to improve online sales performance. In this study, we propose a methodology that can automatically extract only shopping-related keywords from the entire set of search keywords used on portal sites. We define a shopping-related keyword as a keyword that is used directly before shopping behaviors. In other words, only search keywords that direct the search results page to shopping-related pages are extracted from among the entire set of search keywords. A comparison is then made between the extracted keywords' rankings and the rankings of the entire set of search keywords. Two types of data are used in our study's experiment: web browsing history from July 1, 2012 to June 30, 2013, and site information. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The original sample dataset contains 150 million transaction logs. First, portal sites are selected, and search keywords in those sites are extracted. Search keywords can be easily extracted by simple parsing. The extracted keywords are ranked according to their frequency. The experiment uses approximately 3.9 million search results from Korea's largest search portal site. As a result, a total of 344,822 search keywords were extracted. Next, by using web browsing history and site information, the shopping-related keywords were taken from the entire set of search keywords. As a result, we obtained 4,709 shopping-related keywords. For performance evaluation, we compared the hit ratios of all the search keywords with the shopping-related keywords. To achieve this, we extracted 80,298 search keywords from several Internet shopping malls and then chose the top 1,000 keywords as a set of true shopping keywords. We measured precision, recall, and F-scores of the entire amount of keywords and the shopping-related keywords. The F-Score was formulated by calculating the harmonic mean of precision and recall. The precision, recall, and F-score of shopping-related keywords derived by the proposed methodology were revealed to be higher than those of the entire number of keywords. This study proposes a scheme that is able to obtain shopping-related keywords in a relatively simple manner. We could easily extract shopping-related keywords simply by examining transactions whose next visit is a shopping mall. The resultant shopping-related keyword set is expected to be a useful asset for many shopping malls that participate in keyword marketing. Moreover, the proposed methodology can be easily applied to the construction of special area-related keywords as well as shopping-related ones.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.2
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• pp.139-147
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• 2005

The efficacy of extraction from Inonotus obliquus was examined from the points of antioxidative characteristics and some antioxidative compounds. To enhance the efficient extraction for the effective components from Inonotus obliquus, temperature-stepwise water extraction method was applied. Temperature-stepwise water extracts were prepared for 8 hrs as follows: the first extract at 8$0^{\circ}C$, the second extract from the residue of the first extract at 10$0^{\circ}C$, and the third extract from the residue of the second extract at 12$0^{\circ}C$. Antioxidativeactivities were determined by electron-donating ability of DPPR - free radical, scavenging ability of ABTS$.$$^{+}$radical cation, and by inhibiting ability of linoleic acid autoxidation. In results, the first extract showed the least antioxidant capacity, and the third extract showed the highest antioxidant capacity. The third extract also had the greatest amounts of phenolic compounds and flavonoids. Amounts of phenolic compound from each extract were almost proportional to the radical scavenging activities and linoleic acid autoxidation inhibiting ability (r=0.960∼0.980, regression analysis). Furthermore, the effect of the pooled extract of all three extractions of Inonotus obliquus on the lipid peroxidation reacted with active oxygen species (KO$_2$, $H_2O$$_2$, $.$OH) and metals (Fe$^{2+}$, CU$^{2+}$) was evaluated by measuring the formation of thiobarbituric acid reactive substances (TBARS). The pooled Inonotus obliquus extracts lowered the amounts of TBARS formed by all of the active oxygen species and metals. Especially, these lowering effects were pronounced in the reaction with $.$OH and Fe$^{2+}$. These results suggest that the pooled temperature-stepwise extract from Inonotus obliquus could be potential functional materials to reduce the oxidation of lipids and other compounds induced by free radicals.adicals.

• Journal of the Korean Chemical Society
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• v.62 no.4
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• pp.299-313
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• 2018

Inquiry-centered education is important in science education, but in the actual education field, scientific research is being done in a uniform manner due to realistic difficulties. In this study, we use RS (Reverse Science) as a secondary chemistry class to provide opportunities for students to engage in inquiry learning and scientific thinking through process-oriented activities. In this study, we developed and applied it to explore the effects on the scientific inquiry abilities of middle school students and checked the students' perception of it. For the application of the program, 128 students were selected from 6 classes of the 2nd grade in D district middle school, 64 from the experimental group and 64 from the comparative group. The experimental group taught RSP-based the chemistry inquiry programs and the comparative group taught instructor-led classes and verification experiments on the same topic over the seventh hour with three themes. In addition, we analyzed the results of the pre- and post-test by using the science inquiry ability test, and discussed the effects of the program based on the students' perceptions through class observation, student activity area, questionnaire and interview. As a result, the class using the program showed statistically significant changes in the science inquiry ability of secondary school students. Specifically, the experimental group was found to be significant in its prediction among the subcomponents of basic exploration ability compared to the comparative group. The differences have also been shown to be significant in terms of data translation, hypothesis setup and variable control, which are subcomponents of integrated exploration capabilities (p <. 05). In addition, students became interested in the process of creating the theory of science, and were highly interested in collaborating with their friends. It also provided students with opportunities to experience scientific thinking through process-oriented inquiry. Finally, based on the positive impact of the RSP-based chemistry inquiry program on students, we were able to identify the potential use of the program.

• Journal of Korean Academy of Nursing
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• v.3 no.2
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• pp.121-132
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• 1973

Introduction : Nursing as a profession is gelling wide acceptance today, especially among independent -minded women with necessary physical, mental and academic qualifications. This is particularly true of "comprehensive nursing", which requires to total dedication on the part if the nurse herself-physical, mental and sociocultural. Such comprehensive approach is like-wise called for in the institutional training of professional nurses. Undergraduate nursing courses nowadays place an increasing emphasis on the microscopic approach of training a nurse as an intelligent and well-balanced human being with an optimum degree of cultural sophistication. Greater attention then ever before is now paid to close observation of the individual traits and aptitude of nursing students, so as to permit full development of individual capabilities, interests and propensities within the concept of "comprehensive human education. " Purpose of study 1. To determine the degree of understanding of the part of nursing students of the various aspects of the subject taught in undergraduate nursing course. 2. To determine the motivation of nursing students in choosing the profession and possible subsequent change or attitude and outlook in the course of under graduated studies, as a means of presenting a new practical approach in nursing training based on the concept of "comprehensive human education. " Problems of study 1. The environments of nursing training will impinge on individual nursing students with different psychological impacts from lower to upper classes of under graduated studies. 2. Educational environments will have varying psychological impacts on students: a. Difference in religious faith among students. b. Difference in campus environments. c. Difference in domestic (family) circumstances. d. Difference in innate capabilities of students, 3. The understanding and attitude of individual nursing students towards the science of nursing will Have a close correlation with their respective motivations in choosing-nursing as a profession, and will also be closely influenced by the peculiarities of the subject taught, tile campus environments, etc, Delimitations of the study 1. Two universities offering 4-year nursing courses were selected. Due to the limited number of potential subjects, the optimum conditions of sample collection could not be fulfilled. 2. Subjects were confined to two classes in each university (sophomores and seniors) but without regard to the ages or scholastic achievements of individual students. 3. The conclusions derived from this study should be limited in application to the subject groups covered by the present study: they should not in any event be extended or applied to other groups. Procedures 1. Subjects: 40 nursing students each from the sophomore and senior classes of the "Y" and "K" universities situated in Seoul, aggregating 160 students altogether. 2. Instruments: Use has been made of questionnaires on (1) family backgrounds and (2) general information concerning. 3. Statistical Method: The findings of the present survey have been subjected to critical analysis as to the means, percentages, Cgi squares (X), standard deviations and the significance of the difference in means. Findings 1. Nursing students have chosen their subject of study with a confident outlook towards their future in society. 2. Horsing students have the necessary abilities to complete the prescribed courses of study. 3. The campus life of nursing students has been judged as very constructive, not with-standing certain in adequacies in the available educational facilities and the shortages of teaching staff. 4. The achievement levels of nursing trainees varied greatly according to their respective educational environments as well as their school years. 5. Clear and definite distinctions were discernible between the two universities as regards certain aspects of this survey, while no signifiant difference was observed in other: a. Sophomores and seniors in both universities gave nearly identical answers to questions concerning (1) motivation in choosing nursing as a profession, and (2) the way of spending leisure hours. b. Both universities revealed similar respective differences between sophomores and seniors as regards the abilities of fulfilling academic requirements ill the basic subjects. c. Educational environments have been found to be somewhat superior in the "Y"university to those of the "K" university, particularly as regard general campus and dormitory conditions. d. The high degree of dissatisfaction with the faculty, found in both universities, was considered to be a consequence of the universal phenomenon of "brain drain" and the relative neglect of the "comprehensive approach"in education.

• The Korean Journal of Air & Space Law and Policy
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• v.32 no.2
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• pp.129-153
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• 2017

Fair Competition policy in aviation field has been discussed since open skies policy began in 1970s. This issue has been also the main topic in the ICAO's Worldwide Air Transport Conference, the Air Transport Symposium, etc. ICAO defines competition as the existent or potential rivalry between two or more operators, carriers or groups, striving for advantages in the same market based on different prices, qualities and services. In a broader sense, the definition includes more various meanings; reasonable, fair, effective, and unrestricted competitions. Nowadays, competition laws and regulations to air transportation have been applied more frequently and the issues varies from antitrust immunity, mergers and alliances, abuse of dominant positions, capacity dumping and predatory pricing, sales and marketing, to airport charges and fees, state aid and loan guarantees. Now, the competition among the airlines or nations in aviation industry is changing to cooperation level. A lot of airlines try to survive by various cooperation methods. Therefore the policy of Korean aviation industry should be developed, taking so-called "the viewpoint of national aviation industry ecosystem" into consideration and Korean government should prepare a policy of fair competition to cope with it. First, in the process of open skies policy with neighboring countries such as China, Japan and the Middle East, it is necessary to apply the fair competition act and prepare laws and regulations to implement it. Second, the standards of effective ownership and control of air transportation business should be reviewed. Third, in preparation for aviation agreements and liberalization, the Korean aviation industry needs to study and review competition and cooperation issues through the analysis of strict aviation market structure for airlines and airport operations. Fourth, it is necessary to create a fair air transportation environment for the development of air transportation and competitiveness through preemptive policies such as the approval of mergers, acquisitions, JV and the ripple effects analysis.