• Title/Summary/Keyword: L-Statistics

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Assessment of the Distribution of the Street Trees of Suwon City for Biodiversity

  • Choi, Sun A;Kim, Shin Won
    • KIEAE Journal
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    • v.14 no.5
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    • pp.49-57
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    • 2014
  • This research is about analysis and evaluation of biodiversity of Suwon's street tree, then understanding the problem of it and finally finding a solution. Because the increasing damage of the street trees by disease and insects, insecticide is applied to prevent further damage. However, this insecticide is found to be cancer genic and causing hygienic threat to civilians. Therefore, by gathering Suwon's internal statistics about Suwon's street tree, the trees are divided into three categories, tall evergreen trees, deciduous trees, shrubs following Frank's 30-20-10 theory(1990). Also, according to species diversity index, the problem of disease and insect is researched in terms of biodiversity, and here we suggests solutions to counter such problems. According to the results, the trees planted in Suwon was found to be 31 families, 43 genus and 58 species. The most used kinds, almost 85% of the whole species, are found to be Rhododendron indicum (L.) Sweet, Buxus koreana Nakai ex Chung & al, Euonymus japonicus Thunb, Ligustrum obtusifolium Siebold & Zucc. Besides these, the rest of 15% of street trees had little variety. Therefore, it is necessary to plant tree variously and equally in terms of biodiversity. If this Frank's 10-20-30 solution is not enough to completely solve coulure problem, then further research will be done on soil properties, and local features for improvement of Suwon street tress.

Factors Predicting Depression in Hemodialysis Patients (혈액투석 환자의 우울 예측 요인)

  • Han Sang-Sook;Kim Young Hee
    • Journal of Korean Academy of Nursing
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    • v.35 no.7
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    • pp.1353-1361
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    • 2005
  • Purpose: This study was done to provide fundamental data for developing a depression prediction model by discovering main factors that affect depression in patients who do maintenance hemodialysis. Method: The subjects were 191 patients doing maintenance hemodialysis selected from outpatient dialysis clinics at 9 major general hospitals, The Instrument tools utilized in this study were adapted from depression, fatigue, sleep disturbance, stress, adaptation, symptoms, daily activities, and role limitation and thoroughly modified to verify reliability and validity. The collected data was analyzed with a SPSS-PC 11.0 Window Statistics Program for real numbers, percentage, average, standard deviation, and multiple regression. Results: The correlation factor for depression was (M=2.54) fatigue(M=3.12), sleep disturbance (M=2.82), stress(M=3.04), adaptation(M=2.53), daily activities(M=2.24), symptoms(M=2.37), and role limitation(M=2.24). The strongest factor that affected depression was explained by symptoms of the patients who performed hemodialysis. The analysis of the factors that affected depression revealed a $58.4\%$ prediction in symptoms, stress, role limitation, and adaptation. Conclusion: It has been confirmed that the regression equation model(Depression=7.351 + .266$^{\ast}$symptoms + .260$^{\ast}$stress -.l89$^{\ast}$adaptation + .057$^{\ast}$fatigue) of this research may serve as a prediction factor for depression in Hemodialysis Patients.

Situational Meaning and Maternal Self-esteem in Mothers with High Risk Newborn (고위험 신생아 어머니의 상황의미와 모성자존감)

  • 신형정
    • Journal of Korean Academy of Nursing
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    • v.34 no.1
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    • pp.93-101
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    • 2004
  • Purpose: This study was designed to explore the relationship of situational meaning with maternal self-esteem in mothers with high risk newborn. Method: The subjects of this study were 82 mothers with high risk newborn. Data were collected using a translated Family Meaning Attribution Scale and Maternal Self-Report Inventory. Data were analyzed using descriptive statistics, t-test, Pearson Correlation Coefficients and Stepwise Multiple Regression. Result: The average score of the situational meaning in high risk newborn mothers was 64.0l(possible score is between 0-96) and the average score of each item was 1.98. The average score of the maternal self-esteem in high risk newborn mothers was 81.96(possible score is between 26-104) and the average score of each item was 3.15. No significant differences were found in situational meaning according to general characteristics except whether it was a planned pregnancy or not. No significant differences were found in maternal self-esteem according to general characteristics except disease or admission experience during pregnancy. There was significant positive correlation between situational meaning and maternal self-esteem. Conclusion: It is necessary for nurses to provide high risk newborn mothers with care for improving situational meaning that is attributed to the mothers. It can be helpful to improve maternal self-esteem and in the end it will facilitate the maternal transition in mothers with high risk newborn.

Prediction on the Negative Outcomes of Anger in Female Adolescents (청년기 여성의 분노 결과 예측모형)

  • 박영주;한금선;신현정;강현철;천숙희;문소현;이영식;김헌수
    • Journal of Korean Academy of Nursing
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    • v.34 no.1
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    • pp.172-181
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    • 2004
  • Purpose: This study was designed to construct a structural model for explaining negative outcomes of anger in female adolescents. Methods: Data was collected by questionnaires from 199 female adolescents ina female high school in Seoul. Data analysis was done with SAS for descriptive statistics and a PC-LISREL Program for Covariance structural analysis. Results: The fit of the hypothetical model to the data was moderate, thus it was modified by excluding 7 paths and adding free parameters to it. The modified model withthe paths showed a good fit to the empirical data($x^2$ =5.62, p=.69, GFl=.99, AGFl=.97, NFI=.99, NNFI=l.01, RMSR=.02, RMSEA=.00). Trait anger, state anger, and psychosocial problems were found to have a significant direct effect on psychosomatic symptoms. State anger, psychosocial problems, and learning behaviorswere found to have direct effects on depression of female adolescents. Conclusion: The derived modelis considered appropriate for explaining and predicting negative outcomes of anger in female adolescents. Therefore, it can effectively be used as a reference model for further studies and is a suggested direction in nursing practice.

Estimating Wood Weight Change on Air Drying Times for Three Coniferous Species of South Korea

  • Lee, Daesung;Choi, Jungkee
    • Journal of Forest and Environmental Science
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    • v.32 no.3
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    • pp.262-269
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    • 2016
  • The purposes of this study are to calculate the green and dried weight using wood discs, to figure out weight change on air drying times, and to develop the model of wood disc weight change for Larix kaempferi, Pinus koraiensis, and Pinus densiflora. The variables affecting the weight change were investigated, and the pattern of weight change over time was figured out through linear models. When comparing the stem green weight calculated using wood discs in this study with the weight table of Korea Forest Service, the weight was not significantly different for L. kaempferi and P. koraiensis. On the other hand, in comparison of stem dried weight, the weight was significantly different in all of three species. In addition, various measurement factors were examined to figure out the relationship with weight change, and air drying times and disc diameter were found as significant independent variables. Finally, two linear models were developed to estimate air drying times of three species, fit statistics were significant for practical use.

Effect of Water Drinking on the Postprandial Fall of Blood Pressure in the Elderly (식후저혈압 위험 노인의 식전 물 섭취가 식후 혈압변화에 미치는 효과)

  • Son, Jung-Tae;Lee, Eun-Joo
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.17 no.3
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    • pp.304-313
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    • 2010
  • Purpose: The purpose of this study was to examine preventive effects of water drinking on postprandial fall of blood pressure in the elderly. Method: Participants were 25 elders who had experienced postprandial fall of systolic blood pressure of more than 15mmHg in a previous study. Within subject repeated measures design using random order allocation was used to control extraneous variables among participants. During the experiment, each participant had to drink 400mL water before lunch, whereas when in the control, they only had their lunch. Blood pressure and heart rate were measured for both times before lunch and at 15 minutes intervals up to 90 minutes after lunch. Data were analyzed using descriptive statistics, repeated measures of ANOVA, paired t-test and Bonferroni adjustment as Post-hoc analysis. Results: Water drinking before lunch elicited significant pressor effects by increasing systolic and diastolic pressure $13.9{\pm}4.7/5.2{\pm}2.2mmHg$ compared blood pressure during the control p<.005, p<.022. Heart rate, however, did not change significantly at either time. Conclusion: Drinking water before meal is recommended for elders who experience postprandial hypotension. However, the appropriate volume of water to prevent postprandial fall in blood pressure should be further studied.

INTERPRETING A SINGLE ANTISTREPTOLYSIN O TEST: A COMPARISON OF THE 'UPPER LIMIT OF NORMAL' AND LIKELIHOOD RATIO METHODS

  • Gray Gregory C.;Struewing Jeffery P.;Hyams Kenneth C.;Escamilla Joel;Tupponce Alan K.;Kaplan Edward L.
    • 대한예방의학회:학술대회논문집
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    • 1994.02b
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    • pp.164-168
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    • 1994
  • Single serologic tests may occasionally influence clinicians in making diagnoses. The antistreptolysin O (ASO) test is a frequently used tool for detecting recent Streptococcus pyogenes infection and is helpful in the diagnosis of diseases like rheumatic fever. Using data from a 1989 prospective study of 600 healthy male military recruits, in which 43% experienced S. pyogenes upper respiratory tract infection (2-dilution rise in ASO), this report compared two methods of interpreting a single ASO titer. Using the 'upper limit of normal' (80 percentile) method, recruits with an ASO titer of greater than 400 showed evidence of recent S. pyogenes infection. This method had a sensitivity and specificity of only 65.9 and 81.9% respectively. In contrast to the 'yes-no'. dichotomy of the 'upper limit of normal' method. the likelihood ratio method statistics were ASO value specific, more consistent with clinical judgment, and better emphasized the caution clinicians must use in interpreting a single ASO test.

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A Study of the Relationship between Perceived Stress, Self Respect & Stress Response in High School Students (인문계 남녀고등학생의 스트레스 인지, 자아존중감, 스트레스 반응간의 관계 연구)

  • Suk, Min-Hyun;Park, Jeoung-Weon
    • Research in Community and Public Health Nursing
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    • v.11 no.2
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    • pp.556-565
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    • 2000
  • The purpose of this study was to investigate the relationship between perceived stress. self respect & stress response of high school students to provide the basic data for nursing intervention programs in order to manage stress in students. The subject of this study was 279 students (male; 179. female; 100) in high school. Seoul. Korea. during the period from July. 2000. The instruments for this study was a stress management scale developed by Park Young Ae(l996), a self respect scale by Coopersmith (1967) and a physical. emotional response scale to stress by Ro, Jae Hak(1991). The data was analyzed by descriptive statistics, t-test. Pearson correlation coefficient. The results of analysis were as follows: 1) Total perceived stress between males & females didn't show a significant difference but subgroups of stress, 'parent' & 'friend' showed significant differences. Male students were experienced in 'parent' stress than females and female students were more experienced in 'friend' stress than males. 2) A significant negative correlation was revealed between perceived stress & self respect. 3) A significant positive correlation was revealed between self respect & stress response. The result of this study lead us to the suggestion that for high school students. the development of stress management methods for improving self respect should be expanded.

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Demanding Characteristics of a Desk in the Teenager's Housing Lifestyles (청소년의 주생활양식에 따른 책상가구의 수요특성에 관한 연구)

  • 윤복자
    • Journal of the Korean Home Economics Association
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    • v.29 no.4
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    • pp.65-80
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    • 1991
  • The present study was designed to find out demanding characteristics about a desk in the teenager's housing lifestyles. Documentry research and questionnaire survey methods were used in this study. Questionnaire were administered to 233 teenagers in seoul. Data were analyzed with the use SPSS PC+ package. The statistics were frequency, percentage, factor analysis, chi-squre, and cluster analysis. The major findings were followings: the teenager's housing lifestyles were categorized into the five patterns: the creative and impulsive type, the personal and private type, the economic and traditional type, the Western lifestyle-type, functional and achievement-orienented type. Teenagers in the low class of the functional and achievemental type demanded for the desk of the strong structure and materials, under 200,000 wons, and D furniture. Teenagers in the middle-high class of the personal and private type demanded for the desk of colorful and good design, 200,000-400,000 wons, and DS furniture. Teenagers in the high-low class of the Western lifestyle-type demanded for the desk of the famous trademark, 400,000-600,000 wons and S furniture. Teenagers in the middle-low class of the economic and tradition-oriented type demanded for the desk of the convinient and functional design, under 200,000 wons, and L furniture.

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Statistics based localized damage detection using vibration response

  • Dorvash, Siavash;Pakzad, Shamim N.;LaCrosse, Elizabeth L.
    • Smart Structures and Systems
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    • v.14 no.2
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    • pp.85-104
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    • 2014
  • Damage detection is a challenging, complex, and at the same time very important research topic in civil engineering. Identifying the location and severity of damage in a structure, as well as the global effects of local damage on the performance of the structure are fundamental elements of damage detection algorithms. Local damage detection is essential for structural health monitoring since local damages can propagate and become detrimental to the functionality of the entire structure. Existing studies present several methods which utilize sensor data, and track global changes in the structure. The challenging issue for these methods is to be sensitive enough in identifYing local damage. Autoregressive models with exogenous terms (ARX) are a popular class of modeling approaches which are the basis for a large group of local damage detection algorithms. This study presents an algorithm, called Influence-based Damage Detection Algorithm (IDDA), which is developed for identification of local damage based on regression of the vibration responses. The formulation of the algorithm and the post-processing statistical framework is presented and its performance is validated through implementation on an experimental beam-column connection which is instrumented by dense-clustered wired and wireless sensor networks. While implementing the algorithm, two different sensor networks with different sensing qualities are utilized and the results are compared. Based on the comparison of the results, the effect of sensor noise on the performance of the proposed algorithm is observed and discussed in this paper.