The electronic nose (e-nose) has been used in food industry and quality controls in plastic packaging. Recently it finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. Moreover, the use of portable e-nose enables the on-site measurements and analysis of vapors without extra gas-sampling units. This is expected to widen the application of the e-nose in various fields including point-of-care-test or e-health. In this study, a PDA-based portable e-nose was developed using micro-machined gas sensor array and miniaturized electronic interfaces. The rich capacities of the PDA in its computing power and various interfaces are expected to provide the rapid and application specific development of the diagnostic devices, and easy connection to other facilities through information technology (IT) infra. For performance verification of the developed portable e-nose system, Six different vapors were measured using the system. Seven different carbon-black polymer composites were used for the sensor array. The results showed the reproducibility of the measured data and the distinguishable patterns between the vapor species. Additionally, the application of two typical pattern recognition algorithms verified the possibility of the automatic vapor recognition from the portable measurements. These validated the portable e-nose based on PDA developed in this study.
Coinciding with the advent of COVID-19, online education is on the rise both domestically and globally, and has become an absolutely necessary and irreplaceable form of education. It is a very curious question what the perception of people about the suddenly growing form of education is, and how it has changed. This study investigated changes in consumers' perception of online education using big data. To this end, we divided the time into four stages: before COVID-19 (November to December 2019), after the triggering of COVID-19 (January to February 2020), right after the online classes started (March to April 2020), after experiencing some online education (May to June 2020). Then we conducted text mining, namely, keyword frequency analysis, network analysis, word cloud analysis, and sentiment analysis were performed. The implications derived as a result of the analysis can help education policy makers and educators working in the field to improve online education quality and establish its future directions.
Environmental DNA (eDNA) is a genetic material derived from organisms in various environments (water, soil, and air). eDNA has many advantages, such as high sensitivity, short investigation time, investigation safety, and accurate species identification. For this reason, it is used in various fields, such as biological monitoring and searching for harmful and endangered organisms. To collect eDNA from a freshwater ecosystem, it is necessary to consider the target organism and gene and a wide variety of items, such as on-site filtration and eDNA preservation methods. In particular, the method of collecting eDNA from the environment is directly related to the eDNA concentration, and when collecting eDNA using an appropriate collection method, accurate (good quality) analysis results can be obtained. In addition, in preserving and extracting eDNA collected from the freshwater ecosystem, when an accurate method is used, the concentration of eDNA distributed in the field can be accurately analyzed. Therefore, for researchers at the initial stage of eDNA research, the eDNA technology poses a difficult barrier to overcome. Thus, basic knowledge of eDNA surveys is necessary. In this study, we introduced sampling of eDNA and transport of sampled eDNA in aquatic ecosystems and extraction methods for eDNA in the laboratory. In addition, we introduced simpler and more efficient eDNA collection tools. On this basis, we hope that the eDNA technique could be more widely used to study aquatic ecosystems and help researchers who are starting to use the eDNA technique.
This study aims to analyze importance and performance factors on the quality of food service event attributes in participants and organizers, so that it could provide helpful information to build up a detailed marketing strategy and present considerations for revisit increase and more efficient business results as well. Importance on food service event attributes scored a higher level than performance on the whole. Notably, in regard to the attributes of food service event, it was found that respondents put higher stress on vessel(4.10 points), natural seasoning(4.06 points), reservation service(4.04 points), parking service(3.95 points), customer level(3.85 points), organizer's service (3.84 points), polished atmosphere (3.83 points) and taste of food (3.83 points) than anything else. In terms of IPA analysis on food service event attributes, it was important to continuously maintain 'vessel', 'reservation service', customer level', 'sauce taste', 'recency', price', 'chefs fame', etc. Some items such as 'parking service', 'natural seasoning', 'polished atmosphere', 'taste of food', 'see off service', 'cleanliness' are in need of intensive care and operation.
Journal of the Institute of Electronics and Information Engineers
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v.49
no.10
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pp.60-68
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2012
Current wireless sensor networks are considered to support more complex operations ranging from military to health care which require energy-efficient and timely transmission of large amounts of data. In this paper, we propose an adaptive temporal suppression algorithm which exploits a temporal correlation among sensor readings. The proposed scheme can significantly reduce the number of transmitted sensor readings by sensor node, and consequently decrease the energy consumption and delay. Instead of transmitting all sensor readings from sensor node to sink node, the proposed scheme is to selectively transmit some elements of sensor readings using the adaptive temporal suppression, and the sink node is able to reconstruct the original data without deteriorating data quality by linear interpolation. In our proposed scheme, sensing data stream at sensor node is divided into many small sensing windows and the transmission ratio in each window is decided by the window complexity. It is defined as the number of a fluctuation point which has greater absolute gradient than threshold value. We have been able to achieve up about 90% communication reduction while maintaining a minimal distortion ratio 6.5% in 3 samples among 4 ones.
It is important to maintain a healthy dietary habit to enjoy better health and quality of life in later life. However, taking care of one's dietary lifestyle at an older age may be a challenge. Especially, community dwelling low-income older adults are one of the most vulnerable population in regards to holding a well balanced healthy diet. The purpose of this research is to identify the current status of food delivery services for low-income older adults and explore related issues. In order to achieve the aim, this study conduced two sets of focus group interviews with 8 nutritionists and 7 social workers in Seoul. According to the research results, there are issues related to meals on wheels such as vague eligibility, poor operation conditions, work overload, and difficulty in realizing customized meal delivery. Food security for low-income older adults is a prerequisite for aging in place. It is necessary to discuss the ways to create favorable operating conditions to deliver customized meals and manage nutrition and hygiene from the perspective of social work.
This study focuses on the development and evaluation of a chatbot system based on the International Classification of Functioning, Disability, and Health (ICF) framework to enhance community participation among elderly individuals with mild dementia in South Korea. The study involved 12 elderly participants who were living alone and had been diagnosed with mild dementia, along with 15 caregivers who were actively involved in their daily care. The development process included a comprehensive needs assessment, system design, content creation, natural language processing using Transformer Attention Algorithm, and usability testing. The chatbot is designed to offer personalized activity recommendations, reminders, and information that support physical, social, and cognitive engagement. Usability testing revealed high levels of user satisfaction and perceived usefulness, with significant improvements in community activities and social interactions. Quantitative analysis showed a 92% increase in weekly community activities and an 84% increase in social interactions. Qualitative feedback highlighted the chatbot's user-friendly interface, relevance of suggested activities, and its role in reducing caregiver burden. The study demonstrates that an ICF-based chatbot system can effectively promote community participation and improve the quality of life for elderly individuals with mild dementia. Future research should focus on refining the system and evaluating its long-term impact.
In an effort to resolve the burden of patients hiring patient sitters, this study sought to review the Ministry-of-Health-and-Welfare-initiated pilot program of running hospitals without patient-sitter to identify its background, operation method, performance results, and limitations. Based on the review, the study derived the necessity of introducing a hospital system without patient-sitter as well as its operation and systemization methods. The ministry-initiated pilot programs were conducted twice: in 2007, and in 2010. A review of the 2007 pilot program revealed that the patients and families' satisfaction score with nursing services was 9.1 points (on a 10-point scale), their intention to reuse the service was 97.8%, and their intention to recommend the service was 98.0%, all high scores. Appropriate nursing manpower, derived from the 2007 pilot project, indicated 2.3 patients per nurse and 4.0 patients per nurse aid. The 2010 pilot project results indicated that the patients and families' satisfaction was high at 8.0-9.1 points (on a 10-point scale), and that the intention to reuse and recommend the service was also high. Compared with the 2007 pilot project, however, the types of medical institutions and the nurse to patient ratios were diverse, offering limitations. In conclusion, to systemize hospitals without patient-sitter, it is necessary to develop policies designed to establish criteria for the appropriate nurse to patient ratio and skill-mix, to standardize the work, to prepare finances for securing nursing staff, to evaluate the nursing demands, and to monitor the quality management.
Proceedings of the Korean Association for Survey Research Conference
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2005.12a
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pp.187-220
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2005
The purpose of this study is to analyze supporters' community formation motives/ Process/consumption experiences and community characteristics. For this purpose, this study collected the data using ethnographic interview. participant observation, documents and media reports. The results of this study show that supporters communities' formation and diffusion process were influenced by individual characteristics(e.g., personality, hobby and etc.), community characteristics(e.g.,team performance, star player, facilities and etc.) and external factors(ex: media movement etc.) and supporters have experienced various emotions such as intimacy. cohesion, pride and so on through various activities at on-line and off-line site. Community characteristics were classified into we-ness, rituals/traditions, moral responsibility. We found that we-ness influenced emotional dimensions such as joy, pleasure, fun and excitement. rituals and traditions made members feel passion. hope. love and vitality. and moral responsibility provided satisfaction. enthusiasm anxiety. regret and so on. Also, emotional attachment and brand loyalty were increased by these experiential aspects of community consumption.
Journal of Korean Academy of Nursing Administration
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v.5
no.3
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pp.477-500
/
1999
Korean labor market has showed remarkable change of the increase in the amount of unemployment and contingent employment since IMF bailout agreement. There is a theoretical position to explain this increase in contingent employment at hospitals with the notion of flexibility. The high flexibility of employment due to the increase of contingent employees is becoming very important part in new business strategy of hospitals. The types of contingent employment of the nurse are part-time employment temporary employment, fixed-term employment, and internship which was introduced in early 1999. Recently, Korean health care industry managers have paid attention to the customer oriented service, rationalization of business administration, service quality control so that they can adjust their business to outer environment. Especially their efforts concentrate on the wage reduction through efficient and scientific control of man power because wage shares about 40% of total cost. This dissertation aims at verifying the phenomena of the contingent employment of the nurse and analyzing the related factors and problems. To rephrase these aims in ordinal: First, verifying the phenomena of contingent employment of the nurse. Second, verifying the problems of that phenomena. Third, analyzing the related factors of the contingent employment of the nurse. To accomplish these research goals, a statistical survey was executed. in which 384 questionnaires-66 for manager nurses, 318 for contingent nurses - were given to nurses working at 66 hospitals-which have at least 100 beds-in Seoul. Among them, 187 questionnaires-38 from manager nurses, 149 from contingent nurses'- 'were returned. Then, the data coded and submitted to T-test, $X^2$ -test, variance analysis(ANOVA), correlation analysis, multiple regression analysis, Logistic Regression with SAS program. The research results of the contingent nurses are followings: 1. The average career term at the present hospital 8.4 months: duty-on days per month are 24.2 days: working time per day is 7.9 hours. These results showed little difference from regular nurses. 2. Their wage level is about 70% of regular nurses except for internship nurses whose wage level is 41% of regular nurses. To break down the wage composition, part-time nurses and internship nurses get few allowance and bonus. And contingent nurses get very low level of additional pay except for fixed-term nurses who are under similar condition of employment to regular nurses. These results show that hospital managers are trying to reduce the labor cost not only through the direct way of wage reduction but through differential treatment of bonus, retirement allowance, and other additional pay. 3. The problem of contingent employment: low level of pay; high level of turn-over rate: weakening of union; low level of working condition: heavy burden of work; inhuman treatment. The contingent nurses consider these problems more seriously than manager nurses do. What manager nurses regard problematic is the absence of feeling-belonged and responsibility of the contingent nurses. 4. The factors strongly related with the rate of the number of contingent nurses for the number of regular nurses; gross turn-over nurses; average in-patients per day; staring wage of graduate from professional college: the type of hospital ownership; the number of beds; the gap between gross newcomer nurses and gross turn-over nurses. The factors related with their gross wage per month; the number of beds; applying of health insurance; applying of industrial casualty insurance; applying of yearly-paid leave; the type of hospital ownership; average out-patients per day; gross turn-over nurses. The meaningful factors which make difference by employment type: monthly-paid leave; physiological leave. The logistic regression analysis using these two factors shows that monthly-paid leave is related with the type of hospital ownership; the number of beds; average out-patient per day, and physiological leave is related with the gross newcomer nurses; gross turn-over nurses; the number of beds.
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