• The Journal of Fisheries Business Administration
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• v.55 no.1
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• pp.55-76
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• 2024

The purpose of this study is to elucidate the impact of authenticity on experience value and subjective well-being among visitors who have participated in direct experiential activities in experiential fishing villages. The research method used literature research methods and empirical research methods using questionnaires, and this questionnaire was composed by determining three major variables and seven constituent factors for each variable through factor analysis and conducting prior research and preliminary surveys. The survey was conducted from February 5, 2023 to April 5, 2023 among experimental fishing villages with excellent ratings for scenery (environment), service, experience, accommodation, and food, and four villages that can experience tidal flats and manage customers online. The survey was conducted from February 5, 2023 to April 5, 2023, among experimental fishing villages with excellent ratings for scenery (environment), service, experience, accommodation, and food, and four villages that can experience tidal flats and manage customers online. The results of this study are as follows. First, the factors of authenticity in experiential fishing villages include three sub-factors: objective authenticity, constructive authenticity, and existential authenticity. The factors of experience value include two sub-factors: emotional values and functional values. Subjective well-being is derived from positive emotion and life satisfaction. Second, upon examining the importance of authenticity in experiential fishing villages, it was found that existential authenticity and objective authenticity, in that order, have a significant impact on emotional values. However, constructive authenticity did not have a significant impact on emotional values. Third, in terms of functional values, constructive authenticity, existential authenticity, and objective authenticity, in that order, had a significant impact. Fourth, experience value, in the order of emotional values and functional values, had a significant impact on positive emotion and life satisfaction of subjective well-being. Therefore, it was confirmed that the authenticity of experiential fishing villages is important as a strategy to enhance experience value and subjective well-being. Especially, considering that the majority of visitors to experiential fishing villages are family-centered (86.5%), applying marketing management strategies to develop programs that enhance existential authenticity and improve emotional values could elevate the subjective well-being of experiential visitors.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.4
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• pp.244-252
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• 2023

The timeliness and accuracy of test results are crucial factors for clinicians to decide and promptly administer effective and targeted antimicrobial therapy, especially in life-threatening infections or when vital organs and functions, such as sight, are at risk. Further research is needed to refine and optimize matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based assays to obtain accurate and reliable results in the shortest time possible. MALDI-TOF MS-based bacterial identification focuses primarily on techniques for isolating and purifying pathogens from clinical samples, the expansion of spectral libraries, and the upgrading of software. As technology advances, many MALDI-based microbial identification databases and systems have been licensed and put into clinical use. Nevertheless, it is still necessary to develop MALDI-TOF MS-based antimicrobial-resistance analysis for comprehensive clinical microbiology characterization. The important applications of MALDI-TOF MS in clinical research include specific application categories, common analytes, main methods, limitations, and solutions. In order to utilize clinical microbiology laboratories, it is essential to secure expertise through education and training of clinical laboratory scientists, and database construction and experience must be maximized. In the future, MALDI-TOF mass spectrometry is expected to be applied in various fields through the use of more powerful databases.

• Journal of Advanced Technology Convergence
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• v.3 no.1
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• pp.21-31
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• 2024

The study confirmed the relationship between attractiveness and suitability in the relationship between the formativeness of creating the artistic form of a virtual influencer who acts as an advertising model, advertising attention, and advertising attitude. To confirm this, the subjects of the study were the MZ generation and X generation, which have a high rate of SNS use. The analysis method used SPSS statistics 27.0 and SPSS process macro version. The research results are as follows. First, it was confirmed that attractiveness and suitability fully mediate the relationship between formativeness and advertising attention. In the path of formativeness and advertising attention, the total effect was found to be higher than the direct effect, and it was confirmed that there was a double parallel mediation effect through attractiveness and suitability in the relationship between the formativeness of virtual influencers and advertising attention. Second, it was confirmed that formativeness affects the mediating variable, attractiveness, but attractiveness does not affect attitude toward advertising. Since formativeness affects suitability and suitability in turn influences attitude toward advertising, it was confirmed that there is a full mediating effect between these variables. According to these results, the parallel mediating effect of attractiveness and formativeness was not confirmed in the relationship between formativeness and attitude towards advertising. The above study is significant in that it presents academic implications and practical implications by examining the dual and parallel mediating effects of attractiveness and suitability in the relationship between formativeness, advertising attention, and advertising attitude variables, which are considered in the production of virtual influencers.

• Journal of Bio-Environment Control
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• v.32 no.4
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• pp.484-491
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• 2023

Tomatoes in greenhouse are a widely cultivated horticultural crop worldwide, accounting for high production and production value. When greenhouse ventilation is minimized during low temperature periods, CO₂ enrichment is often used to increase tomato photosynthetic rate and yield. Plant-induced electrical signal (PIES) can be used as a technology to monitor changes in the biological response of crops due to environmental changes by using the principle of measuring the resistance value, or impedance, within the crop. This study was conducted to investigate the relationship between tomato growth data, vital response, and PIES resulting from CO₂ enrichment in greenhouse tomatoes. The growth of tomato treated with CO₂ enrichment in the morning was significantly better in all items except stem diameter compared to the control, and PIES values were also higher. The growth of tomato continuously applied with CO₂ was better in the treatment groups than control, and there was no significant difference in chlorophyll fluorescence and photosynthesis. However, PIES and SPAD values were higher in the CO₂ treatment group than control. CO₂ enrichment have a direct relationship with PIES, growth increased, and transpiration increased due to the increased leaf area, resulting in increased water absorption, which appears to be reflected in PIES, which measures vascular impedance. Through this, this study suggests that PIES can be used to monitor crops due to environmental changes, and that PIES is a useful method for non-destructively and continuously monitoring changes of crops.

• Journal of Environmental Policy
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• v.13 no.1
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• pp.69-93
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• 2014

The aim of this research was to develop a climate change vulnerability index at the district level (Si, Gun, Gu) with respect to the health care sector in Korea. The climate change vulnerability index was esimated based on the four major causes of climate-related illnesses : vector, flood, heat waves, and air pollution/allergies. The vulnerability assessment framework consists of six layers, all of which are based on the IPCC vulnerability concepts (exposure, sensitivity, and adaptive capacity) and the pathway of direct and indirect impacts of climate change modulators on health. We collected proxy variables based on the conceptual framework of climate change vulnerability. Data were standardized using the min-max normalization method. We applied the analytic hierarchy process (AHP) weight and aggregated the variables using the non-compensatory multi-criteria approach. To verify the index, sensitivity analysis was conducted by using another aggregation method (geometric transformation method, which was applied to the index of multiple deprivation in the UK) and weight, calculated by the Budget Allocation method. The results showed that it would be possible to identify the vulnerable areas by applying the developed climate change vulnerability assessment index. The climate change vulnerability index could then be used as a valuable tool in setting climate change adaptation policies in the health care sector.

• Journal of Korean Academy of Nursing
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• v.3 no.3
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• pp.97-110
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• 1973

The goal of modern nursing is to provide comprehensive nursing care to patients. If comprehensive nursing care to children (within the hospital setting) is to be provided, consideration of the stage of growth and development of the child is especially important. From clinical observation, it appeared that nurses often disregarded individual requirements of children in giving nursing care. Therefore, the purpose of this study is to show that comprehensive nursing care which is based on an understanding of the growth and development of the child contributes to both the child and the mother's adaptability to the child's hospitalization. Method: Sixty children, three to three year of age, hospitalized at the Yonsei University Pediatric Ward ware studied. From April 1, 1973 to May 5, 1973, children admitted to the hospital were assigned to either an experimental or a compare groups. There were 30 children in each group. The sex and age of the children in each group was similar. In both groups were more male than female children. In the experimental group, each mother stayed with hot child continuously during his hospitalization. In the compare groups, the mother or some other member of the family stayed with the child. Each day on the child's admission the investigator visited the ward from 1-2 P.M. to 9-10 P.M., in order to provide comprehensive care for the experimental -group. The assistance given the nurses by the investigator was in the form of conferences regarding care and in giving direct care to the child and his mother. The compare group of children received nursing care as usually provided by the hospital. The instruments used to obtain the data for analysis were as follows: 1. The fear and anxiety reaction of the child was recorded by observation of the investigator for four areas: 1) separation from parent and relatives 2) reaction to Doctor and Nurse with white gowns 3) reaction to nursing care 4) reaction to injection and tests, etc. 2. Regression in area of eating, sleeping, and elimination were recorded by the investigator by questioning the mother and by observation. 3. Adaptability to the hospitalization was recorded by direct questioning of the children for areas of emotional and social adjustment. For children older than 3 years of age or children not seriously ill, using the simple I. Q. test this was possible for only 35 of the total 60 children. Result: 1. 55 percents of the total 60 children had been prepared by their parents for hospitalization. The children who had received prior preparation accepted hospitalization more readily than those who had received no preparation. (χ²=4.6 Ρ<0.05) 2. On admission 31.7 percent of the children expressed verbal fear of their discase or treatment. 25 percent felt that the disease was due to their mistake. 3. There was a significant difference in the reaction of the child to separation from the parent or relatives between the two groups. The experimental groups showed less anxiety due to separation than the compare group. (χ²=4.34 Ρ<0.05) In both groups there was less anxiety due to separation among school age (6-12 years) children than among preschool age (3-5 years) children. (χ²=9.22 Ρ<0.05) 4. More than half of the children in both groups reacted with fear and avoidance to doctor and/or nurses wearing white gowns. (χ²=0.06 Ρ<0.05) 5. The experimental group reacted more favorably to nursing in general than the compare group. (χ²=4.8 Ρ<0.05) 6. There was no difference in the fear and refused reaction to special tests and/or such as X-rays and injections, etc. between the groups. (χ²=3.77 Ρ<0.05) 7. More children in the compare group showed regressive tendencies in eating, sleeping, and elimination habits than in experimental groups. (χ²=2.3 Ρ<0.05 χ²=3.88 Ρ<0.05 χ²=4.9 Ρ<0.05) 8. There was a significant difference in the adaptability to hospitalization between the two groups. The experimental groups adapted more readily. (χ²=2.02 Ρ<0.05) 9. For children who had higher I.Q. s the adaptability to hospitalization was better regardless of the group. (χ²=5.03 Ρ<0.05) However, because of the small number of cases (60), this finding cannot be extrapolated without further verification. The date demonstrates that there was a greater adaptability to hospitalization by the child when comprehensive nursing care was given. By planning care and applying knowledge of growth and development to meet, nurses are in a position to prevent some of the psychological trauma associated with hospitalization.

• Journal of Preventive Medicine and Public Health
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• v.31 no.1 s.60
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• pp.15-26
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• 1998

p53 is the most frequently mutated gene in female breast cancer tissues and the prognosis of breast cancer could be changed by mutation of the gene. This study was performed to examine risk factors for breast cancer subtypes classified by p53 mutation and to investigate the roles of p53 gene mutation in carcinogenesis of breast cancer. The study subjects were 81 breast cancer patients and 121 controls who were matched to cases 1:1 or 1:2 age, residence, education level and menopausal status. All the subjects were interviewed by a well-trained nurse with standardized questionnaire on reproductive factors, and wire asked to fill the self-administrative food frequency questionnaire. p53 gene mutation in the cancer tissue was screened using polymerase chain reaction (PCR)-single strand conformational polymorphism (SSCP) method. Mutation type was identified by direct sequencing of the exon of which mobility shift was observed in SSCP analysis. Mutations were detected in p53 gene of 25 breast cancer tissues. By direct sequencing, base substitutions were found in 20 cancer tissues (10 transition and 10 transversion), and frame shift mutations in 5 (4 insertions and 1 deletion). For the whole cases and controls, risk of breast cancer incidence decreased when the parity increased, and increased when intake amount of total calory, fat, or protein increased. Eat and protein were statistically significant risk factors for breast cancer with p53 mutation. For breast cancer without p53 mutation, protein intake was the only significant dietary factor. These results suggest that causes of p53 positive breast lancer would be different from those of p53 negative cancer, and that dietary factors or related hormonal factors induce mutation of p53, which may be the first step of breast cancer development or a promoter following some unidentified genetic mutations.

• Tuberculosis and Respiratory Diseases
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• v.49 no.5
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• pp.546-557
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• 2000

Background : Oligonucleotide chip technology has proven to be a very useful tool in the rapid diagnosis of infectious disease. Rifampin resistance is considered as a useful marker of multidrug-resistance in tuberculosis. Mutations in the rpoB gene coding $\beta$ subunit of RNA polymerase represent the main mechanism of rifampin resistance. The purpose of this study was to develop a diagnosis kit using oligonucleotide chip for the rapid and accurate detection of rifampin-resistance in Mycobacterium tuberculosis. Method : The sequence specific probes for mutations in the rpoB gene were designed and spotted onto the glass slide, oligonucleotide chip. 38 clinical isolates of Mycobacterium were tested. A part of rpoB was amplified, labelled, and hybridized on the oligonucleotide chip with probes. Results were analyzed with a laser scanner. Direct sequencing was done to verify the results. Result : The low-density oligonucleotide chip design어 to determine the specific mutations in the rpoB gene of M. tuberculosis accurately detected rifampin resistance associated with mutations in 28 clinical isolates. Mutations at codons 531, 526, and 513 were confirmed by direct sequencing analysis. Conclusion : Mutant detection using oligonucleotide chip technology is a reliable and useful diagnostic tool for the detection of multidrug-resistance in M. tuberculosis.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.611-635
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• 2014

Information systems (IS) have become ubiquitous and changed every aspect of how people live their lives. While some IS have been successfully adopted and widely used, others have failed to be adopted and crowded out in spite of remarkable progress in technologies. Both the technology acceptance model (TAM) and the IS Success Model (ISSM), among many others, have contributed to explain the reasons of success as well as failure in IS adoption and usage. While the TAM suggests that intention to use and perceived usefulness lead to actual IS usage, the ISSM indicates that information quality, system quality, and service quality affect IS usage and user satisfaction. Upon literature review, however, we found a significant void in theoretical development and its applications that employ either of the two models, and we raise research questions. First of all, in spite of the causal relationship between intention to use and actual usage, in most previous studies, only intention to use was employed as a dependent variable without overt explaining its relationship with actual usage. Moreover, even in a few studies that employed actual IS usage as a dependent variable, the degree of actual usage was measured based on users' perceptual responses to survey questionnaires. However, the measurement of actual usage based on survey responses might not be 'actual' usage in a strict sense that responders' perception may be distorted due to their selective perceptions or stereotypes. By the same token, the degree of system quality that IS users perceive might not be 'real' quality as well. This study seeks to fill this void by measuring the variables of actual usage and system quality using 'fact' data such as system logs and specifications of users' information and communications technology (ICT) devices. More specifically, we propose an integrated research model that bring together the TAM and the ISSM. The integrated model is composed of both the variables that are to be measured using fact as well as survey data. By employing the integrated model, we expect to reveal the difference between real and perceived degree of system quality, and to investigate the relationship between the perception-based measure of intention to use and the fact-based measure of actual usage. Furthermore, we also aim to add empirical findings on the general research question: what factors influence actual IS usage and how? In order to address the research question and to examine the research model, we selected a mobile campus application (MCA). We collected both fact data and survey data. For fact data, we retrieved them from the system logs such information as menu usage counts, user's device performance, display size, and operating system revision version number. At the same time, we conducted a survey among university students who use an MCA, and collected 180 valid responses. A partial least square (PLS) method was employed to validate our research model. Among nine hypotheses developed, we found five were supported while four were not. In detail, the relationships between (1) perceived system quality and perceived usefulness, (2) perceived system quality and perceived intention to use, (3) perceived usefulness and perceived intention to use, (4) quality of device platform and actual IS usage, and (5) perceived intention to use and actual IS usage were found to be significant. In comparison, the relationships between (1) quality of device platform and perceived system quality, (2) quality of device platform and perceived usefulness, (3) quality of device platform and perceived intention to use, and (4) perceived system quality and actual IS usage were not significant. The results of the study reveal notable differences from those of previous studies. First, although perceived intention to use shows a positive effect on actual IS usage, its explanatory power is very weak ($R^2$=0.064). Second, fact-based system quality (quality of user's device platform) shows a direct impact on actual IS usage without the mediating role of intention to use. Lastly, the relationships between perceived system quality (perception-based system quality) and other constructs show completely different results from those between quality of device platform (fact-based system quality) and other constructs. In the post-hoc analysis, IS users' past behavior was additionally included in the research model to further investigate the cause of such a low explanatory power of actual IS usage. The results show that past IS usage has a strong positive effect on current IS usage while intention to use does not have, implying that IS usage has already become a habitual behavior. This study provides the following several implications. First, we verify that fact-based data (i.e., system logs of real usage records) are more likely to reflect IS users' actual usage than perception-based data. In addition, by identifying the direct impact of quality of device platform on actual IS usage (without any mediating roles of attitude or intention), this study triggers further research on other potential factors that may directly influence actual IS usage. Furthermore, the results of the study provide practical strategic implications that organizations equipped with high-quality systems may directly expect high level of system usage.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.113-127
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• 2016

Among the techniques for recommendation, collaborative filtering (CF) is commonly recognized to be the most effective for implementing recommender systems. Until now, CF has been popularly studied and adopted in both academic and real-world applications. The basic idea of CF is to create recommendation results by finding correlations between users of a recommendation system. CF system compares users based on how similar they are, and recommend products to users by using other like-minded people's results of evaluation for each product. Thus, it is very important to compute evaluation similarities among users in CF because the recommendation quality depends on it. Typical CF uses user's explicit numeric ratings of items (i.e. quantitative information) when computing the similarities among users in CF. In other words, user's numeric ratings have been a sole source of user preference information in traditional CF. However, user ratings are unable to fully reflect user's actual preferences from time to time. According to several studies, users may more actively accommodate recommendation of reliable others when purchasing goods. Thus, trust relationship can be regarded as the informative source for identifying user's preference with accuracy. Under this background, we propose a new hybrid recommender system that fuses CF and social network analysis (SNA). The proposed system adopts the recommendation algorithm that additionally reflect the result analyzed by SNA. In detail, our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and trust relationship information between users when calculating user similarities. For this, our system creates and uses not only user-item rating matrix, but also user-to-user trust network. As the methods for calculating user similarity between users, we proposed two alternatives - one is algorithm calculating the degree of similarity between users by utilizing in-degree and out-degree centrality, which are the indices representing the central location in the social network. We named these approaches as 'Trust CF - All' and 'Trust CF - Conditional'. The other alternative is the algorithm reflecting a neighbor's score higher when a target user trusts the neighbor directly or indirectly. The direct or indirect trust relationship can be identified by searching trust network of users. In this study, we call this approach 'Trust CF - Search'. To validate the applicability of the proposed system, we used experimental data provided by LibRec that crawled from the entire FilmTrust website. It consists of ratings of movies and trust relationship network indicating who to trust between users. The experimental system was implemented using Microsoft Visual Basic for Applications (VBA) and UCINET 6. To examine the effectiveness of the proposed system, we compared the performance of our proposed method with one of conventional CF system. The performances of recommender system were evaluated by using average MAE (mean absolute error). The analysis results confirmed that in case of applying without conditions the in-degree centrality index of trusted network of users(i.e. Trust CF - All), the accuracy (MAE = 0.565134) was lower than conventional CF (MAE = 0.564966). And, in case of applying the in-degree centrality index only to the users with the out-degree centrality above a certain threshold value(i.e. Trust CF - Conditional), the proposed system improved the accuracy a little (MAE = 0.564909) compared to traditional CF. However, the algorithm searching based on the trusted network of users (i.e. Trust CF - Search) was found to show the best performance (MAE = 0.564846). And the result from paired samples t-test presented that Trust CF - Search outperformed conventional CF with 10% statistical significance level. Our study sheds a light on the application of user's trust relationship network information for facilitating electronic commerce by recommending proper items to users.