• Title/Summary/Keyword: Active Data Collection

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The Effects of Education of Chronic Diseases Management for the Elderly Group in Parts of Seoul (서울지역 일부 노인집단에 대한 만성질환관리 교육의 효과)

  • Chang, Hyun-Sook;Lee, Sae-Young
    • Health Policy and Management
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    • v.20 no.3
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    • pp.157-172
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    • 2010
  • This study was conducted to evaluate the effects of health-behavioral change for the elderly group after community based education of chronic diseases management. We measured self recognition of health status, medication administration of hypertension and diabetes, regular check for blood pressure and blood sugar level, recognition of body indicators (weight, hight, blood pressure, blood sugar etc), knowledge level for chronic diseases management and smoking and alcohol habitation before and after education of chronic diseases management for participants. The subjects of this study consist of 432 people with community-dwelling Seoul citizen being active churches. Education programs designed essential parts of fundamental chronic diseases management, physical exercises for health promotion, diet and nutrition etc. All data collection completed for 5 months from Aug. 2008 to Dec. 2008 by trained surveyors via interview survey. The data obtained were analyzed using descriptive statistics, Wilcoxon Singed Rank test, McNemar test and Paired t-test. The results showed that self recognition of health status, knowledge level for chronic diseases management, recognition of body indicators were statistically significantly increased after the education of chronic diseases management. Also, blood pressure were statistically significantly decreased in elderly with hypertension and blood sugar were statistically significantly decreased in elderly of high-risk group. Based on these results, it was suggested that preventive education policy of chronic diseases management should be considered with priority coming true for successful aging society.

A Study of Menstruation of Middle School Students (일 지역 여중생의 월경에 대한 조사연구)

  • Kim, Hae-Won;Kwon, Mi-Kyoung
    • Women's Health Nursing
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    • v.11 no.2
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    • pp.148-155
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    • 2005
  • Purpose: This study was to provide preliminary data for menstrual education and research for the early adolescents. Methods: Participants were 320 middle school students in Gangreung city. Data collection was done from May 1 to May 30, 2004 by self administered questionnaires. Results: In recollecting of menarche experiences, students felt more negative (happy 18.5%, confused 72.6%, embarrassed 82.2%, angry 38.1%, proud 26.2%, excited 15.6%, surprised 54.7%). For menarche preparation, there was a low level of explanations & knowledge of menstruation, and preparedness for menarche. Key informants regarding menstruation experiences were the mother and school teacher. The mean age of menarche was 12.3years old. 66.6% had premenstrual symptoms, and the mean score of VAS for dysmennorrhea was 4.50. Significant variables related to the VAS score were embarrassed of menarche experience(F=3.38, p=.019), preparedness for menarche(F=2.86, p=.038), and premenstrual symptoms(t=63.36, p.000), Conclusion: Preparation for a positive menarche experience prior to menarche is necessary. More active menstrual education should be given for early adolescents in the school and family setting. Replication studies in other regions and developing a menstrual education program is recommended. Systematic examinations of perimenstrual discomforts for early adolescents should be followed.

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Online Crowdsourcing Platform Continuous Participation During COVID-19: A Low-income Group Perspective in Malaysia

  • NA'IN, Nuramalina;HUSIN, Mohd Heikal;BAHARUDIN, Ahmad Suhaimi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.317-326
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    • 2021
  • The crowdsourcing system relies heavily on the number of crowd participation on the platform to ensure the platform's success. However, exploring factors that motivate the crowds to sustain on the platform remains unclear, and very little literature was found on this matter. Lately, the COVID-19 pandemic has affected the world, including Malaysia. Due to the pandemic, many people have lost their jobs, and hence, most of them have shifted to digital work. Hence, to understand the motivation for continuous participation on the online crowdsourcing platform among low-income crowd workers (B40) in Malaysia, this paper explores the intrinsic and extrinsic motivations for continuous participation. A qualitative method interview was performed where 14 active participants of Upwork.com, under the GLOW program, took part during the data collection process. This paper used the thematic analysis method to extract the data collected from this study. The finding of this study identified eight intrinsic motivation factors: (1) personal development, (2) pastime, (3) fun, (4) passion, (5) task identity, (6) time-workplace flexibility, (7) altruistic, and (8) peers' success and four extrinsic factors: (1) monetary, (2) job security, (3) personal commitment, and (4) environment.

Analysis of Shipping and Logistics News Articles using Topic Modeling (토픽모델링을 활용한 해운물류 뉴스 분석)

  • Hee-Young Yoon;Il-Youp Kwak
    • Korea Trade Review
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    • v.46 no.4
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    • pp.61-76
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    • 2021
  • This study focuses on three logistics-related news (Logistics Newspaper, Korea Shipping Gadget, and Korea Shipping Newspaper) in order to present changes in logistics issues, centering on Corona 19, which has recently had the greatest impact in the world. For data collection, two-year news articles in 2019 and 2020 (title, article, content, date, article classification, article URL) were collected through web crawling (using Python's BeautifulSoup, requests module) on the homepages of three representative logistics-related media companies. As for the data analysis methods, fundamental statistical analysis, Latent Dirichlet Allocation (LDA) for topic modeling, and Scattertext were performed. The analysis results were as follows. First, among the three news media related to logistics, the Korea Shipping Newspaper was carrying out the most active media activities. Second, through topic modeling with LDA, eight logistics-related topics were identified, and keywords and significant issues of each topic were presented. Third, the keywords were visually expressed through Scattertext. This is the first study to present changes in the logistics field, focusing on articles from representative logistics-related media in 2019 and 2020. In particular, 2019 and 2020 can be divided into before and after the outbreak of Corona 19, which has had a great impact not only on the logistics field but also on our lives as a whole. For future work, a multi-faceted approach is required, such as comparative studies of logistics issues between countries or presenting implications based on long-term time-series articles.

A Study on the Prediction Model for Bioactive Components of Cnidium officinale Makino according to Climate Change using Machine Learning (머신러닝을 이용한 기후변화에 따른 천궁 생리 활성 성분 예측 모델 연구)

  • Hyunjo Lee;Hyun Jung Koo;Kyeong Cheol Lee;Won-Kyun Joo;Cheol-Joo Chae
    • Smart Media Journal
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    • v.12 no.10
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    • pp.93-101
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    • 2023
  • Climate change has emerged as a global problem, with frequent temperature increases, droughts, and floods, and it is predicted that it will have a great impact on the characteristics and productivity of crops. Cnidium officinale is used not only as traditionally used herbal medicines, but also as various industrial raw materials such as health functional foods, natural medicines, and living materials, but productivity is decreasing due to threats such as continuous crop damage and climate change. Therefore, this paper proposes a model that can predict the physiologically active ingredient index according to the climate change scenario of Cnidium officinale, a representative medicinal crop vulnerable to climate change. In this paper, data was first augmented using the CTGAN algorithm to solve the problem of data imbalance in the collection of environment information, physiological reactions, and physiological active ingredient information. Column Shape and Column Pair Trends were used to measure augmented data quality, and overall quality of 88% was achieved on average. In addition, five models RF, SVR, XGBoost, AdaBoost, and LightBGM were used to predict phenol and flavonoid content by dividing them into ground and underground using augmented data. As a result of model evaluation, the XGBoost model showed the best performance in predicting the physiological active ingredients of the sacrum, and it was confirmed to be about twice as accurate as the SVR model.

A Design and Implementation of RSS Data Collecting Engine based on Web 2.0 (웹 2.0 기반 RSS 데이터 수집 엔진의 설계 및 구현)

  • Kang, Pil-Gu;Kim, Jae-Hwan;Lee, Sang-Jun;Chae, Jin-Seok
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1496-1506
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    • 2007
  • The environment of web service has changed a great deal due to the progress of internet technology and positive participation of users. The established web service is static and passive, but the recent web service is becoming dynamic and active. Web 2.0 reflects current web service change well. The primary feature of web 2.0 is positive participation of users. Since the size of generated information is becoming larger, it is highly required to share the information fast and correctly. The technology to satisfy this need is web syndication and tagging in web 2.0. The web syndication makes feeds for another site or users to receive the content of web site. In addition, the tagging is the kernel of a information. Many internet users share rapidly the information through tag search. In this paper, we propose the efficient technique to improve the web 2.0 technology such as web syndication and tagging by using the data collection engine. Data collection engine has stored in a database, a user's Web site to use the information. and it has a user's Web site with access to updated data to collect. The experimental results show that our approach can improve the search speed up to 3.14 times better than the existing method and reduce the size of data up to 66% for building associated tags.

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A Qualitative Study on the Purchase Behavior for the Counterfeit of Fashion Luxury Brands (패션 명품(名品) 복제품(複製品)의 구매행동(購買行動)에 관(關)한 질적(質的) 연구(硏究))

  • Kim, Il
    • Journal of Fashion Business
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    • v.8 no.5
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    • pp.41-59
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    • 2004
  • The purpose of this study is to analyze consumers' purchase behavior for the counterfeits of fashion luxury brands. The research method of the study used a naturalistic approach. The first participant observation was carried out in the internet sites in order to collect the data on the purchase behavior for counterfeits; and the second participant observation was applied in the Dongdaemun shopping mall, Namdaemun shopping mall and Itaewon shopping mall; finally 6 informants were selected and then an interview was held with them. The results of the study are as follows; 1. The reasons for the first purchase of counterfeits are variously shown according to life stages, and the repetitive purchase behavior is influenced by the degree of satisfaction for the first purchase. The information collection for counterfeits is widely made through various media, and especially the information collection is active and positive in the case of planned purchase but it is passive and negative in the case of unplanned purchase. 2. The most important criteria in purchasing counterfeits is the degree of similarity with luxury brands and other criteria include price, design, utility etc. The majority of purchase items is not clothing but miscellaneous goods which are more similar in terms of design and quality. The purchase of counterfeits is made by impulse purchase but the purchase of luxury brands is made by planned purchase. 3. The rationalization mechanism for the purchase of counterfeits is observed in all informants, which is a sort of defence mechanism for avoiding a guilty conscience to buy illegal goods.

A ground theory approach on fatigue of the female elderly with osteoarthritis (관절염을 앓고 있는 노인 여성 피로 경험의 근거 이론적 접근)

  • Kwon, Young-Eun;Chung, Myung-Sill
    • Journal of muscle and joint health
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    • v.3 no.1
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    • pp.50-62
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    • 1996
  • The purpose of this study was to identify and construct a substantive theory about the experience of fatigue among the female elderly with osteoarthritis. The interviewees were 6 female elderly with osteoarthritis. Of them 3 were admitted General hospital, the remaining 3 didn't admitted hospital. The data were collected through in-depth interviews by the investigators from May 20th, 1995 to June 19th, 1995. The collected data were coded into concepts and categories according to Strauss & Corbin's grounded method. The data thus collected were analyzed immediatly after interviews and fed into next round of interviews until the data collection reaches the saturation point where no additional concepts emerge. The 35 concepts were from analyzing the grounded data. The results of this study were as follows : 'change of the health condition','change of the life pattern', 'physiologic change', 'change of the coping pattern', 'performance of homework', 'activity daily living', 'tireness', 'ache', 'change of general apperance', 'sleep disturbance', 'powerlessness'. 'Physiologic unbalance', 'change of the family dynamics', 'physical imbalance', 'loss of the control', aviodance', 'conversion', 'leaving', 'indifference', 'hesitation', 'the pursue of information and trial', 'the western therapy', 'heat therapy', 'the oriental therapy','exercise', 'weight control', 'support', 'solution', 'being as before', 'adding more'. Six categories emerged from the analysis of ground data. They were as follows : 'stimuli', 'fatigue', 'passive coping', 'active coping', 'disolution', 'remains'. 13 hypothesis were derived from the integration of categories as follows : 1. The stronger the stimulus as perceived by the subjects, the more the fatigue will exrerience. 2. The more severe the fatigue, the more severe the tireness. 3. The more severe the fatigue, the more the hardness. 4. The more severe the fatigue, the more the variability of appear will experience. 5. The more severe the fatigue, the more the pain will experience. 6. The more severe the fatigue, the more the insomnia will experience. 7. The more severe the fatigue, the more the powerless will experience. 8 The more severe the fatigue, the more the psychological unbalance will experience. 9. The more severe the fatigue, the more variability of the family dynamics will experience. 10. The more severe the fatigue, the more the physical unbalance will experience. 11. The more severe the fatigue, the more loss of control will experience. 12. The subjects who experienced the fatigue will be to show passive coping and active coping mechanism.

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A Study on Health Promotion Needs Assessment of the Rural Elderly in Korea (한국농촌노인의 건강증진관리요구에 관한 연구)

  • Cho So Young;Kim Jum Ja
    • Journal of Korean Public Health Nursing
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    • v.10 no.2
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    • pp.146-161
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    • 1996
  • This study was purposed to find health promotion and care needs of the elderly in rural area of Korea. As the rural elderly are limited in accessibility to health care resources and could not immediately solve their health care needs when they need. health promotion and care services are expected to bring better and more practical solutions of their health care needs. Thus, the type of health care services to be developed in Korea rural area is discussed to have emphasis on health care service component in addition to health promoting components. Methods of this study was based on survey data analysis : total 322 persons aged older than 55 living at one 'Kun' in Korea administrative unit were interviewed by health workers working at the region and also get trained for this study data collection. The data collection interview was continued from February till May in 1996. The interview questions were modified with adjustment to Korea situation. with basis of the WHO's health promotion program components. The collected data were analyzed using SAS program for frequency, correlation, regressions. The major findings were as follows : (1) $74.8\%$ of the surveyed were sick at the survey time point. and $95.9\%$ known the diagnosis name of the disease. The most frequently complained diseases were Muscular-Skeletal diseases $(43.7\%)$. $34\%$ of those sick had never treated or discontinued therapeutic procedures. so that shown the necessity of systematic and usual health care services with health promotion program development for the elderly. (2) The percent of those who make social participation was $95.3\%$. and the activities were visiting neighbors $(70.4\%)$ and lack of qualified social activity programs. (3) $78.1\%$ of the surveyed had health counseling and education from professional health workers. Those ceased smoking and drinking were $59.6\%,\; 60.3\%$. respectively. Those had no application of therapeutic drugs or nutrion supplements was $40.7\%\;and\;94.1\%$ had regular meals. Those practiced exercises was low remarking $17.7\%$. (4) Positive health behaviors were better carried out by sick groups than by the healthier. except smoking. regular meals. and exercise. $17.5\%$ of sick group smoke more than one case of cigarettes. in contrast to $9.5\%$ of the healthier. (5) Mental health status was heathier among positive health behavior earners. Health counseling and education shown better score of mental health than those never counseled. (6) Positive health behavior practice frequency did not show significant differences when crossed by social activity participation status. (7) Health behaviors of the rural elderly people were carried out better when they had positive 'continuency in therapeutic procedure' 'health status'. 'familial relationship'. 'Health Status' of the rural olderly were explained by 'exercise'. 'drinking'. 'familial relationship'. 'activities of daily living'. Thus, health behaviors practice mutually interact with health status. In conclusion. the health promotion and care program component are recommended to include ation on the necessity of positive health promotion active social acitivities. pleasant life style, adaption into changes on the elderly, safety in residential area. community acitivity and resource utilization. etc .. in addition to the elderly's disability and sickness caring services.

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Leision Detection in Chest X-ray Images based on Coreset of Patch Feature (패치 특징 코어세트 기반의 흉부 X-Ray 영상에서의 병변 유무 감지)

  • Kim, Hyun-bin;Chun, Jun-Chul
    • Journal of Internet Computing and Services
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    • v.23 no.3
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    • pp.35-45
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    • 2022
  • Even in recent years, treatment of first-aid patients is still often delayed due to a shortage of medical resources in marginalized areas. Research on automating the analysis of medical data to solve the problems of inaccessibility for medical services and shortage of medical personnel is ongoing. Computer vision-based medical inspection automation requires a lot of cost in data collection and labeling for training purposes. These problems stand out in the works of classifying lesion that are rare, or pathological features and pathogenesis that are difficult to clearly define visually. Anomaly detection is attracting as a method that can significantly reduce the cost of data collection by adopting an unsupervised learning strategy. In this paper, we propose methods for detecting abnormal images on chest X-RAY images as follows based on existing anomaly detection techniques. (1) Normalize the brightness range of medical images resampled as optimal resolution. (2) Some feature vectors with high representative power are selected in set of patch features extracted as intermediate-level from lesion-free images. (3) Measure the difference from the feature vectors of lesion-free data selected based on the nearest neighbor search algorithm. The proposed system can simultaneously perform anomaly classification and localization for each image. In this paper, the anomaly detection performance of the proposed system for chest X-RAY images of PA projection is measured and presented by detailed conditions. We demonstrate effect of anomaly detection for medical images by showing 0.705 classification AUROC for random subset extracted from the PadChest dataset. The proposed system can be usefully used to improve the clinical diagnosis workflow of medical institutions, and can effectively support early diagnosis in medically poor area.