• 한국환경교육학회지:환경교육
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• 제13권2호
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• pp.63-73
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• 2000

The purpose of this study are two-fold; 1) to identify the differences in the view of environmental value between 6-years-olds and 12-years-old, 2) to identify the differences in the attitude towards animals and plants between male-and female students. To accomplish the purposes of this study, two researchers deeply interviewed ten 6-years-old and 12-years-old boys and girls, respectively. First, the interviewees are asked to rank six constituents in nature, human-being, tiger, ant, gingko tree, weed, and stone, from their views of environmental value. Then, the interviewees were asked to talk about their various interaction with animals and plants. The results of this study are as follows; 1) In evaluating the value of nature constituents, 12-years-olds tended to be affected by scientific knowledge. On the other hand, 6-years-olds tended to evaluate the value of nature constituents by their emotional feeling; 2) From the perspectives of environmental ethics, 12-years-olds showed attitudes in anthropocentric or holistic ethics. On the other hand, 6-years-olds showed attitudes in nonanthropocentric ethics; 3) In evaluating the value of nature constituents, 12-year-olds tended to consider the constituent′s instrumental values and 6-years-olds tended to consider their intrinsic values; 4) From the perspectives of "ethics of care", females, especially 12-years females tended to take care of plants. The results propose more emphasis of environmental "sensuous" in school environmental education. And male- and female students should be expected fairly in their environmental attitudes, especially in taking care of natural creatures.

• 대한화장품학회:학술대회논문집
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• 대한화장품학회 2003년도 IFSCC Conference Proceeding Book II
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• pp.464-478
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• 2003

Free radicals and reactive oxygen species (ROS) caused by UV exposure or other environmental facts play critical roles in cellular damage and aging. The extract of tinged autumnal leaves of maple tree(Acer palmatum) has proven to be a powerful antioxidant. The Acer palmatum extract is very effective on the stabilization of biological membranes( containing unsaturated fatty acid). We studied photoprotective effect of the extract against UVB-induced cytotoxicity in human keratinocytes. The extract improved cell viability comparing to control after UVB irradiation. In the determination test of pro inflammatory cytokines the extract decreased expression of interleukin 1 a and 6, which play an important role in inflammation and skin erythema caused by UV. We also studied property of varying cosmetic formulations on the percutaneous absorption of the extract. After 24 hour in vitro penetration study, the content of the extract was more highly detected in skin residue part. This result showed the extract had relatively high compatibility of skin in our emulsion system. On human skin, after appling the product containing the extract we obtained a good result of antiwrinkle effect by skin visiometer. In conclusion, the Acer palmatum extract is a photoprotective and very effective in stressed and aged skin care. And we can predict the extract mainly affects on the skin cell and tissue in our emulsion system.

• Transactions on Electrical and Electronic Materials
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• 제3권3호
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• pp.34-38
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• 2002

In this paper, efficiency estimation of toxicity fee fire resistance cable experiments was measured smoke density of toxicity free fire resistance polyolefin insulation material and electric field dependence of tree shape in low density polyethylene (LDPE). One of the most serious causes of failure in high-voltage cables, can be an electrical discharge across an internal gab or void in the insulating material. Treeing due to partial discharge is one of the main causes of breakdown in the insulating materials and reduction of the insulation life. Therefore the necessity for establishing a method to diagnose the aging of insulation materials and to predict the breakdown of insulation and research of the fire resistance character has become important. First, we have studied on electric field dependence of tree shape in LDPE about treeing phenomena occurring on the high electrical field. Second, the measurement method is the attenuation quantity of irradiation by smoke accumulating with in a closed chamber due to non-flaming heat decomposition and flaming combustion. A main cause of fire-growth and generating toxic gas when, it bums, should be dealt with great care in life. safety design. The fire gases were occurred carbon monoxide and decomposition than in polyolefin due to incomplete combustion of PVC, which has high content of carbon in chemical compound.

• Journal of Preventive Medicine and Public Health
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• 제45권4호
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• pp.259-266
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• 2012

Objectives: This study aims to determine the risk factors predicting rehospitalization by comparing three models and selecting the most successful model. Methods: In order to predict the risk of rehospitalization within 28 days after discharge, 11 951 inpatients were recruited into this study between January and December 2009. Predictive models were constructed with three methods, logistic regression analysis, a decision tree, and a neural network, and the models were compared and evaluated in light of their misclassification rate, root asymptotic standard error, lift chart, and receiver operating characteristic curve. Results: The decision tree was selected as the final model. The risk of rehospitalization was higher when the length of stay (LOS) was less than 2 days, route of admission was through the out-patient department (OPD), medical department was in internal medicine, 10th revision of the International Classification of Diseases code was neoplasm, LOS was relatively shorter, and the frequency of OPD visit was greater. Conclusions: When a patient is to be discharged within 2 days, the appropriateness of discharge should be considered, with special concern of undiscovered complications and co-morbidities. In particular, if the patient is admitted through the OPD, any suspected disease should be appropriately examined and prompt outcomes of tests should be secured. Moreover, for patients of internal medicine practitioners, co-morbidity and complications caused by chronic illness should be given greater attention.

• Journal of Korea Artificial Intelligence Association
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• 제1권1호
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• pp.11-16
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• 2023

Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.

• 기본간호학회지
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• 제4권1호
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• pp.43-60
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• 1997

This study was to identify the nursing intervention method in finding out the incidence, risk factor, prevention and treatment of bed sore cilents who received regional home care nursing services. The eleven home care nurse practitioners took the survey on 97 patients who received home care nursing service from Seoul City Nurses Association for one month from September 26 to October 26 1996. A modified version of Braden's bed sore assessment tool for bed sore risks and a tool for assessment of bed sore stage and measurement bed sore sizes by Bergstrom, Braden, Laguzza and Holman(1987) were as research tools for this study and a questionnare with 40 questions and 12 items on nursing activities was used to find out the prevention and treatment of bed sores. Also, two open ended questions were used on current approaches and efforts of the treatment being applied to clients. The finding of the study were summarized as following : 1. The rate of bed sore occurrence was 47.4% 2. The areas of bed sore occurrence were hip(28.9%), sacrum(18.6%), great trochanter(14.4%) and the average number of sore spots were 2.26 3. Two groups-one with bed sores and the other without-were studied to determine prediction factors for bed sore risks. Sensory function, humidity, level of activity, mobility, nutrition, skin friction and chapping and body temperature turned out to be statistically significant factors for bed sores. Also the age of clients turned out to be a individual characteristic variable significantly affecting the rate of bed sore occurrences. 4. The education for clients and family on systematic skin assessment and bed sores and practice of active/passive R.O.M. are mainly used as nursing activities for bed sore care. 5. The treatment method varied by stages of bed sores. Sometimes folk remedies like applying the powders of dried elm tree roots to sores were used. Good nutrition, frequent position change and skin care turned to be the most effective means to fast recovery of sores.

• 디지털융복합연구
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• 제13권5호
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• pp.277-288
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• 2015

본 연구의 목적은 데이터마이닝을 이용하여 여성 관절염의 지역 간 변이요인을 확인하는 것이다. 이를 위해 2012년 지역사회건강조사 자료의 249개 시 군 구를 기준으로 하여 여성 관절염의 지역 간 유병률의 변이에 영향을 미치는 요인을 분석하였다. 인구사회환경, 건강행태 및 건강수준, 유병상태 등의 주요 지표를 전통적인 선형회귀분석과 융복합적 분석을 위한 의사결정나무를 이용하여 변이모형을 도출하였다. 지역 간 여성 관절염 유병률의 변이요인으로 농림어업 종사자의 비율, 임금근로자 비율, 고졸이상 비율, 필요의료 미치료율 및 경제적 사유로 인한 미치료율, 비만율, 고위험음주율, 저작불편율, 우울증 및 스트레스 경험율, 고혈압 및 협심증 진단율이 도출되었으며, 의사결정 나무 모형은 249개 시군구를 10개 지역으로 분류하였다. 관절염의 사회적 질병 부담을 줄이기 위해서는 국가 전체적 접근 방식 또는 환자 개별적 접근 방식을 전환하여 소규모 지역 단위로 특성을 파악하여 위험 요인을 분석하고 환경을 개선해 나가야 한다.

• Journal of Korean Biological Nursing Science
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• 제20권2호
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• pp.103-113
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• 2018

Purpose: This study was performed to assess problems associated with sleep (short and long sleep duration) and to identify risky subgroups with sleep problems among adult cancer survivors. The study is based on the Korea National Health and Nutrition Examination Survey (KNHANES VI and VII) from 2013 to 2016. Methods: The sociodemographic and clinical data of 504 Korean cancer survivors aged 20-64 years was extracted from the KNHANES VI and VII database. Descriptive statistics for complex samples was used, and decision-tree analyses were performed using the SPSS WIN 24.0 program. Results: The mean age for survivors was approximately 51 years. The mean sleep duration was 6.97 hours; 36.2% of participants had short (< 7 hours) and 9.9% had long (> 8 hours) sleep duration. From the decision-trees analyses, the characteristics of the adult cancer survivors related to sleep problems were presented with six different pathways. Sleep problems were analyzed according to the survivors' sociodemographic information (age, education, living status, and occupation), clinical characteristics (body mass index, hypercholesterolemia, and anemia) and health-related quality of life (HRQoL). The HRQoL (${\leq}0.5$ or > 0.5 cutoff point) was a significant predictor of the participants' sleep problems because all six pathways were started from this predictor in the model. Conclusion: Health care professionals could use the decision-tree model for screening adult cancer survivors with sleep problems in clinical or community settings. Nursing interventions considering these specific individual characteristics and HRQoL level should be developed to have adequate sleep duration for Korean adult cancer survivors.

• 대한화장품학회지
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• 제43권4호
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• pp.365-371
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• 2017

본 연구는 옻나무 추출물의 첨가가 영지버섯 미백활성 물질인 가나도마난디올의 생합성에 미치는 영향을 조사하기 위하여 수행하였다. 옻나무 열수 추출물을 1, 5, 10, 15%의 비율로 영지버섯 균사발효 시 첨가하고 발효 균사 추출물의 HPLC분석을 수행한 결과, 가나도마난디올 생합성이 첨가하지 않은 대조군에 비해 유의적으로 증가함을 확인하였다. 또한, 옻나무 열수 추출물이 첨가되어 발효된 영지 균사 추출물의 B16F10 세포주에 대한 멜라닌 생합성 저해능을 평가한 결과 첨가하지 않은 대조군에 비해 유의적으로 저해능이 증가함을 확인하였고, MTT분석을 통해 B16F10 세포주에 대한 세포생존율에도 영향을 미치지 않은 것을 확인하였다. 결과적으로 옻나무 추출물이 영지버섯균사의 미백활성 물질인 가나도마난디올 생합성을 촉진하여 향후 옻나무 추출물 첨가 영지버섯균사 발효 추출물이 효과적인 화장품 성분으로 사용 가능할 것으로 사료된다.

• International Journal of Computer Science & Network Security
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• 제24권7호
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• pp.11-23
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• 2024

Triage is a practice of accurately prioritizing patients in emergency department (ED) based on their medical condition to provide them with proper treatment service. The variation in triage assessment among medical staff can cause mis-triage which affect the patients negatively. Developing ED triage system based on machine learning (ML) techniques can lead to accurate and efficient triage outcomes. This study aspires to develop a triage system using machine learning techniques to predict ED triage levels using patients' information. We conducted a retrospective study using Security Forces Hospital ED data, from 2021 through 2023 during Hajj period in Saudia Arabi. Using demographics, vital signs, and chief complaints as predictors, two machine learning models were investigated, naming gradient boosted decision tree (XGB) and deep neural network (DNN). The models were trained to predict ED triage levels and their predictive performance was evaluated using area under the receiver operating characteristic curve (AUC) and confusion matrix. A total of 11,584 ED visits were collected and used in this study. XGB and DNN models exhibit high abilities in the predicting performance with AUC-ROC scores 0.85 and 0.82, respectively. Compared to the traditional approach, our proposed system demonstrated better performance and can be implemented in real-world clinical settings. Utilizing ML applications can power the triage decision-making, clinical care, and resource utilization.