The study were to assess technical factors between the high score group and the low score group, from the subjects of 16 male national gymnasts, and to analyze the kinematical characteristic and main technical cause on technique of Akopian's 3D motion analysis of the male vaulting game in 2001 classification championship. The result of this study is this. There were not so much difference between the two groups in term; of the time of board contact, pre-flight, and total performance, but it takes shorter time when the players who are in the high point group take down the board, and they take long time for post-flight(p<.01). The high point group has a longer perpendicular distance in the moment of horse taking off, 0.05m on the average, than the low point group. The high point group shows 0.16m higher on the average than the other group in term; of the height of post-flight(p<.01). In the phase of board contact, the range of horizontal velocity at board take on were $7.66m/s{\sim}7.33m/s$, but there weren't significantly statistic differences between two groups. The hight score group were 0.68m/s faster than the low point group at the horizontal velocity at board take off event(<.05). About the average horizontal velocity of deceleration, AG1(-1.95m/s) reduces the speed more than AG2(-1.57m/s)(p<.05). And the hight score group were 0.37m/s faster than the low point group at the vertical velocity at horse take off event(<.05). When board taking off, the projectile angle of com were $38.7{\sim}37.8degree$ on the average. the comparative groups show almost same results. When horse taking off, the HPVy of the high point group were 37.6 degree which were a little higher than the low point group. The angular velocities of the players who takes on the horse with a right hand and then takes off with a left hand in the high point group were 14.97rad/sec, 10.82rad/sec in the low point group. However, the angular velocity of the players who takes on the horse with a left hand and then takes off on a right hand with the high point group were 14.97rad/sec, 15.56rad/sec in the low point group.
This study has tried to find the gap of health promoting behavior and the lower level-health responsibility, physical activity, self-actualization, stress management and self-efficacy-between new freshmen and other university students in dormitories who have taken health education as an elective course through health education. With 105 students conducted self-answering survey. It was conducted from June 12 to June 13 of the year 2013. Analysis has been conducted into 5-point scale in every parts of health promoting behavior, 4-point scale in self-efficacy. As a result of the study, after health education, the increasing level of the score was bigger than general university students in preceding research before education; from this, we could interpret that the peers who live together lead positive competition. For before-and-after affects of education, after-education score increased statistically significantly higher from before-education score for both freshmen and other students on every item of the survey. Especially, self-efficacy and stress management, which are the lower level of health promoting behavior, have shown statistic significance of health education. When comparing freshmen and other students, the item that showed significant difference was 'self-efficacy,' and for both before and after health education, other students had higher score than freshmen. Based on the result of the analysis, for those who live together with group of people such as in-dorm students, group education is preferred to personal education; in addition, when selecting health education recipients, better achievement of education will be expected by primarily educating students who have lower level of self-efficacy and stress, especially freshmen who have lower self-efficacy level than other students in university.
Journal of the Korean Association of Geographic Information Studies
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v.22
no.2
/
pp.24-35
/
2019
In this study, a hotspot analysis was conducted to suggest a new method for interpreting soil heavy-metal contamination data of abandoned metal mines according to statistical significance level. The spatial autocorrelation of the data was analyzed using the Getis-Ord $Gi{\ast}$ statistic in order to check whether soil heavy metal contamination data showing abnormal values appeared concentrated or dispersed in a specific space. As a result, the statistically significant data showing abnormal values in the mine area could be classified as follows: (1) the contamination degree and the hotspot value (z-score) were both high, (2) the contamination degree was high but the z-score was low, (3) the contamination degree was low but the z-score was high and (4) the contamination degree and the z-score were both low. The proposed method can be used to interpret the soil heavy metal contamination data according to the statistical significance level and to support a rational decision for soil contamination management in abandoned mines.
Journal of Korean Academy of Fundamentals of Nursing
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v.5
no.2
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pp.341-352
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1998
The purpose of this study was to provide a bases for comfort of patient through of measuring the noise level in emergency room and grasping the perception to noise of inpatient. Data on noise level through sound level meter in ER and patients' perception of the noise through a structured questionnaire and were collected from August 21 to September 5 in 1998. And collected data were analyzed with SAS statistics progeam, descriptive statistic, t-test and ANOVA. The result of examination is as follows : 1. Among a noise level of measured highest was 64.6dB(A) in 'rounding of medical teams', the lowest was 54.8dB(A) in 'traffic noise from outside'. 2. The mean score of noise perception was 0.93. Among a kind of noise reported by the subjects, that which ranked highest was 'conversation of patients' caregiver and visitors'(1.75). The ranked lowest was 'noise of airconditioner'(0.59). 3. The relationship between perception of noise and subjects' characteristics was not significient. Therefore, based on this result, ways require to decrease the noise level in emergency department.
The Journal of Korean Academic Society of Nursing Education
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v.12
no.2
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pp.238-247
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2006
The purpose of this study is to investigate the relationship between nurslng students' self-differentiation, their stress level and stress coping strategies. And following research questions were established. First, what is the difference of the stress level depending on the self-differentiation? Second, what is the difference of stress coping strategies in accordance with the self-differentiation? Participants for this study were 159 students selected from the 1st grades of G University, located in Incheon Metropolitan city. SPSS 10.0 statistic program was taken for drawing its frequency, percentage, average and standard deviation. And t-test, F-test, correlation and multiple regression were conducted. The results are summarized as follows: 1. The mean score for the level of self- differentiation, level of stress, level of stress coping strategies were 3.59, 2.50, 3.35. 2. The relationship between self-differentiation and stress level revealed a negative significant correlation 3. The relationship between self-differentiation and stress coping strategies revealed a no significant correlation. 4. The relationship between stress level and stress coping strategies revealed a no significant correlation. Conclusion: The results of investigating the variation differences depending on stress level, self-differentiation, and stress coping strategies were revealed self-differentiation and stress coping strategies explained stress level by 28.6%.
This study was objectively performed to identify dietitians' job in the elderly health-care facilities, to assess facilities and dietitian's demographic characteristics, and to determine performance and importance of dietitian's job including the demand of therapeutic diet development. Survey was conducted by mail and samples were the dietitians working in 376 facilities which capacity is over 50 members from nationwide 583 the elderly health-care facilities. Returned questionnaire was 102 and used for statistic analysis. The distributions of the elderly health-care facilities showed 39 the elderly nursing facilities(38.2%), 32 skilled nursing facilities (32.4%), 13 geriatrics hospital facilities(12.7%) and 9 the elderly cost nursing facilities(8.8%). 60.0 percent of the samples showed its menu price as 1,000 to 1,500 won. A cycle-menu program was in-use at the 79.0% facilities, but only 7.1% facilities have been introduced a selected menu system. 92.9% facilities employed only one dietitian. In the demographic characteristics of dietitian only 14.7% dietitian had a clinical dietitian license and 51.5% of respondents answered at least 1 to 3 months internship program is needed. Job activities of the dietitian in the elderly health-care foodservice were identified as 45 activities with 9 dimensions. Job performance score evaluated dietitian oneself was 4.71 of 7 points. The average importance score that the dietitian evaluated their own job was 5.66 points of 7. The job activities shown higher importance but lower performance were therapeutic diet development for in-patients, menu development suitable for taste of the elderly, and leadership. Job performance score by characteristics of dietitian and their elderly health-care facilities was significantly associated with experience of dietitian in elderly health-care (F=4.480, p<0.05), education of dietitian(F=2.659, p<0.01), number of dietitian(F=2.245, p<0.05), and number of employee in foodservice(F=2.607, p<0.05). Most common diseases of the aged was proved as hypertension(81.7%), diabetes mellitus(71.4%), and dementia(65.0%). The therapeutic diets frequently provided were diabetes mellitus diet, dysphagia diet, low sodium diet, high fiber diet, and high protein diet, in order. For those reasons, dietitian in the elderly health care emphasized that the information about therapeutic diet development such as diabetes mellitus diet, dysphagia diet, low sodium diet and hypertension diet must be continuously developed and provided. The result from this study can be applicable to enlarge and enrich job activities of dietitian in elderly health-care foodservice.
The methylation score, expressed as a percentage of the methylation status data derived from the iterative sequencing process, has a value between 0 and 1. It is contrary to the assumption of normal distribution that simply applying the t-test to examine the difference in population-specific methylation scores in these data. In addition, since the result may vary depending on the number of repetitions of sequencing in the process of methylation score generation, a method that can analyze such errors is also necessary. In this paper, we introduce the symbolic data analysis and the interval K-S test method which convert observation data into interval data including uncertainty rather than one numerical data. In addition, it is possible to analyze the characteristics of methylation score by using Beta distribution without using normal distribution in the process of converting into interval data. For the data analysis, the nature of the proposed method was examined using sequencing data of actual patients and normal persons. While the t-test is only possible for the location test, it is found that the interval type K-S statistic can be used to test not only the location parameter but also the heterogeneity of the distribution function.
The research was conducted by center for children's foodservice management in Hanam-si. In order to improve job satisfaction, a survey was carried out by working conditions and job satisfaction in children foodservice employees working at child daycare centers registered from January to April. Ninety-five surveys out of 120 were collected, and 76 surveys were analyzed. Job satisfaction consisted of four elements, working environment, welfare, human relationships, and job-itself, analyzed by general characteristics. Pearson's correlation was carried out between job satisfaction and intention to change job by Likert 5 scales using SPSS statistic program. The percentages of child daycare centers owned by civilians was 52.6%, high school education level was 65.8%, permanent workers was 68.4%, and less than 1 year of foodservice was 34.2%. Average scores of job satisfaction were as follows: working environment scored 20.6 out of 25 points, welfare scored 10.3 out of 15 points, human relationships scored 17.5 out of 20 points, and job-itself scored 13.2 out of 15 points. The lowest job satisfaction average was 'I get paid fairly regarding the working hours and the amount of work' with a score of 3.6 points. Job satisfaction based on facility type, age, education level, and working period did not show significant differences, whereas hired status, numbers of foodservice children, and intention to change jobs showed significant differences. Hired status showed significant differences with welfare satisfaction (P<0.05). Numbers of children showed a significant difference with welfare and human relationship satisfaction (P<0.01, P<0.05). Intention to change job showed a significant difference with four elements of job satisfaction (P<0.05, P<0.01, P<0.01). In conclusion, to improve job satisfaction of children foodservice employees, working conditions and welfare satisfaction should be increased.
Objectives : To evaluate the predictive validity of three scoring systems; the acute physiology and chronic health evaluation(APACHE) III, simplified acute physiology score(SAPS) II, and mortality probability model(MPM) II systems in critically ill patients. Methods : A concurrent and retrospective study conducted by collecting data on consecutive patients admitted to the intensive care unit(ICU) including surgical, medical and coronary care unit between January 1, 2004, and March 31, 2004. Data were collected on 348 patients consecutively admitted to the ICU(aged 16 years or older, no transfer, ICU stay at least 8 hours). Three models were analyzed using logistic regression. Discrimination was assessed using receiver operating characteristic(ROC) curves, sensitivity, specificity, and correct classification rate. Calibration was assessed using the Lemeshow-Hosmer goodness of fit H-statistic. Results : For the APACHE III, SAPS II and MPM II systems, the area under the receiver operating characterist ic(ROC) curves were 0.981, 0.978, and 0.941 respectively. With a predicted risk of 0.5, the sensitivities for the APACHE III, SAPS II, and MPM II systems were 81.1, 79.2 and 71.7%, the specificities 98.3, 98.6, and 98.3%, and the correct classification rates 95.7, 95.7, and 94.3%, respectively. The SAPS II and APACHE III systems showed good calibrations(chi-squared H=2.5838 p=0.9577 for SAPS II, and chi-squared H=4.3761 p=0.8217 for APACHE III). Conclusions : The APACHE III and SAPS II systems have excellent powers of mortality prediction, and calibration, and can be useful tools for the quality assessment of intensive care units(ICUs).
Objective : Health insurers and policy makers are increasingly examining the hospital mortality rate as an indicator of hospital quality and performance. To be meaningful, a risk-adjustment of the death rates must be implemented. This study reviewed 5 severity measurement methods and applied them to the same data set to determine whether judgments regarding the severity-adjusted hospital mortality rates were sensitive to the specific severity measure. Methods : The medical records of 584 patients who underwent coronary artery bypass graft surgery in 6 general hospitals during 1996 and 1997 were reviewed by trained nurses. The MedisGroups, Disease Staging, Computerized Severity Index, APACHE III and KDRG were used to quantify severity of the patients. The predictive probability of death was calculated for each patient in the sample from a multivariate logistic regression model including the severity score, age and sex to evaluate the hospitals' performance, the ratio of the observed number of deaths to the expected number for each hospital was calculated. Results : The overall in-hospital mortality rate was 7.0%, ranging from 2.7% to 15.7% depending on the particular hospital. After the severity adjustment, the mortality rates for each hospital showed little difference according to the severity measure. The 5 severity measurement methods varied in their statistical performance. All had a higher c statistic and $R^2$ than the model containing only age and sex. There was a little difference in the relative hospital performance evaluation by the severity measure. Conclusion : These results suggest that judgments regarding a hospital's performance based on severity adjusted mortality can be sensitive to the severity measurement method. Although the 5 severity measures regarding hospital performance concurred, more often than would be expected by chance, the assessment of an individual hospital mortality rates varied by the different severity measurement method used.
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