This research was done to clarify the factors related to sexual satifaction in women who have had a hysterectomy, and to idenify which factors had statistically significant influence of sexual satisfaction of the subjacts. The objective of this study was to identify the variables related to sexual adaptation which might be changed by nursing intervention. This was a cross-sectional descriptive correlation study. There were 230 subjects in the study, and they were selected by a convenient sampling method. The tool. for this study was developed by the researcher through modification of the Dergatis Sexual Function Inventory(DSFI). A pilot study was done to determine the necessary modifications. Data collection was done between Sept. 1987 and Du. 1987 using a mailed questionnaire. The characteristics of the subjects were as follows : The mean age of the subjects was 42.3 years and 204(87.4%) of the subjects had nine or more years of education. The mean income of the subjects was 85.8870 won / month, and 179(77%) of them were housewives. The mean number of pregnancies and children were 4.9 and 2.5 respectively. Oophorectomies were included in the surgery for 66(28.7%) of the subjects. Only 12(5.2%) were planning to have more children. Only 88(38.3%) of the subjects had received information prior to the surgery regarding health problems related to the operation and less than half, 111 (48.3%), had received this kind of information before discharge. Lay persons were the source of information about the post-operation status for 196 (85.2%) of the subjects, but the content of the information did not significantly influence the sexual satisfaction score. Only 16(7.0%) of the subjects said they regretted having a hysterctomy while 102(44.3%) said they were pleased to have had a hysterectomy. Ninety (39.1 %) of the subjects reported that their husbands had “stress” and 164(71.3%) of the subjects reported “stress”. The results of this study are summarized as follows : 1. The mean score for sexual satisfaction of the subjects was 34.24 with a possible maximum score of 50.00. Eighty two(35.8%) were responded that they were satisfied with their sexual life but 61 (26.5%) were responded that they were dissatisfied with their sexual life 2. The following 15 factors extracted from the results of the data analysis were significantly related to sexual satisfaction(p<.05) ; support of husband, body image, emotion, knowledge of sex, menopausal symptoms, sexual behavior, the feelings the subjects had about the hysterectomy, stress for both subject and husband, the number of children, health information given before operation, job, age, level of education and income. The five most important factors influencing sexual satisfaction were identified by using stepwise multiple regression analysis. The most important factor was support of husband, which explained 17.83% of the total variance. The remaining factors in order of significance were : Knowledge of sex, income, job, and emotional status. Those five factors explained 35.16% of the sexual satisfaction. In conclusion, for the care of women who are going to be discharged from hospital after having had a hysterctomy, nurses have to work with the husbands to help them to understand the importance of their support. Nurses also need to make sure that the subjects have an adequeate knowledge of sexual life after a hysterectomy. Also nursing interventions should focus on subjects who do not have a job, who are of low economic status, and the subjects who are under the unpleasant mood.
Journal of The Korean Association For Science Education
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v.18
no.3
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pp.415-425
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1998
The purpose of this study is to investigate the difference and relations in science related attitudes and science achievement in highschool students. Investigated differences between science related attitudes and science achievement and evaluated variations within city type, gender, grade level group. 404 high school students in Korea were sampled by cluster sampling method. Two instruments were used in this study. The ABC inventory(affection. behavioral intention. cognition scale of attitude toward science) was developed by the researcher(Lee, 1996, 1997). And MSAS(modified scientific attitude scale) has modified previous one. The major results are as follows: 1. Highschool students' Attitude toward Science is 3.24, 5-rating summative Likert scales. It showed slightly positive and favorable. 2. Highschool students' Scientific Attitude is 3.37, 5-rating summative Likert scales. It showed slightly positive tendencies of scientific attitude. 3. Findings indicated that middle' small city's students scored higher in Attitude toward Science and Scientific Attitude than metropolitan students. 4. The relationship between Attitude Toward Science and Scientific Attitude is 0.5716. The relationship between Scientific Attitude and Science Achievement is weaker than the relationship Attitude Toward Science and Science Achievement. 5. The results of three-way ANOVA indicated that were significant group differences(p<.05) in Attitude toward Science and Scientific Attitude. 6. After adjustment for the covariate(Scientific Attitude's score), statistically significant main effects of all group were found on the Attitude toward Science(p>.05). But after adjustment for the covariate(Attitude toward Science's score), statistically no significant main effects of all group were found on the Scientific Attitude(p>.05).
Lim, Jong Hwan;Sung, Joo Han;Chun, Jung Hwa;Shin, Man Yong
Journal of Korean Society of Forest Science
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v.105
no.1
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pp.122-131
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2016
This study was conducted to analyze the effect of climatic variables on tree-ring growth of Larix leptolepis distributed in Korea by dendroclimatological method. For this, annual tree-ring growth data of Larix leptolepis collected by the $5^{th}$ National Forest Inventory were first organized to analyze yearly growth patterns of the species. To explain the relationship between tree-ring growth of Larix leptolepis and climatic variables, monthly temperature and precipitation data from 1950 to 2010 were compared with tree-ring growth data for each county. When tree-ring growth data were analyzed through cluster analysis based on similarity of climatic conditions, six clusters were identified. In addition, index chronology of Larix leptolepis for each cluster was produced through cross-dating and standardization procedures. The adequacy of index chronologies was tested using basic statistics such as mean sensitivity, auto correlation, signal to noise ratio, and expressed population signal of annual tree-ring growth. Response function analysis was finally conducted to reveal the relationship between tree-ring growth and climatic variables for each cluster. The results of this study are expected to provide valuable information necessary for estimating local growth characteristics of Larix leptolepis and for predicting changes in tree growth patterns caused by climate change.
Site index information given from forest site map only exist in the sampled locations. In this study, site index for unsampled locations were estimated using kriging interpolation method which can interpolate values between point samples to generate a continuous surface. Site index of Pinus densiplora in Danyang area were calculated using Chapman-Richards model by plot unit. Then site index for unsampled locations were interpolated by theoretical variogram models and ordinary kriging. Also in order to assess parameter selection, cross-validation was performed by calculating mean error (ME), average standard error (ASE) and root mean square error (RMSE). In result, gaussian model was excluded because of the biggest relative nugget (37.40%). Then spherical model (16.80%) and exponential model (8.77%) were selected. Site index estimates of Pinus densiplora throughout the entire area in Danyang showed 4.39~19.53 based on exponential model, and 4.54~19.23 based on spherical model. By cross-validation, RMSE had almost no difference. But ME and ASE from spherical model were slightly lower than exponential model. Therefore site index prediction map from spherical model were finally selected. Average site index from site prediction map was 10.78. It can be expected that regional variance can be considered by site index prediction map in order to estimate forest biomass which has big spatial variance and eventually it is helpful to improve an accuracy of forest carbon estimation.
Objectives:Hwa-byung has been studied clinically for several years and introduced as Korean Culture- Bound Syndrome. However, the definition and the diagnostic method are not yet clarified, and there has not been any sufficient comparative study on this disease entity. This study was conducted to determine the clinical symptoms and the profile of the neurocognitive functions in Hwa-byung(HB) and Major Depressive Disorder(MDD), and We wish to identify any critical factors that differentiate the disorders. Methods:A total of 102 participants were examined, including 34 participants with MDD, 34 with HB, and 34 healthy controls. The MDD and HB patients were recruited from among inpatients and outpatients at the National Medical Center for the period from May to December of 2004. As a major diagnostic tool of MDD, diagnostic reference of DSM-IV-TR was used and as HB's diagnostic tool, We used computerized neurocognitive function test. Psychiatric symptomatology was evaluated by the Beck Depression Inventory(BDI), and Symptom Checkist-90-Revision(SCL-90-R). Oneway ANOVA, Scheffe post-hoc test and Chi-Squre Tests were used for statistical analysis. Results:The participants in three groups did not differ in terms of age, sex, and education. Assessment of BDI indicated that the MDD group had significantly higher total score than the HB group. MDD and HB groups showed significantly higher total scores on the SCL-90-R in comparison to the controls. The MDD group was found to have significantly more symptoms of depression than the HB group, based on the depression subscale of the SCL-90-R. The computerized neurocognitive function test suggest several results 1) Within the memory domain, it was found that one of the two memory tests in MDD and HB groups were significantly impaired in comparison to the control group. 2) Within the attention domain, it was found that only the MDD group was significantly impaired in comparison to the control group. 3) Within the higher cortical function domain, it was found that significant impairment exist in MDD group and HB group compared to the control group; the severity of impairment was found to be more profound in the MDD group than in the HB group. Conclusion:These results suggest that both HB group and MDD group have significantly decreased neurocognitive function than the control group, and neurocognitive function of the HB group is better than that of the MDD group.
Measuring tree's volume is very important input data of various environmental analysis modeling However, It's difficult to use economical and equipment to measure a fragmented small green space in the city. In addition, Trees are sensitive to seasons, so we need new and easier equipment and quantification methods for measuring trees than lidar for high frequency monitoring. In particular, the tree's size in a city affect management costs, ecosystem services, safety, and so need to be managed and informed on the individual tree-based. In this study, we aim to acquire image data with UAV(Unmanned Aerial Vehicle), which can be operated at low cost and frequently, and quickly and easily quantify a single tree using SfM-MVS(Structure from Motion-Multi View Stereo), and we evaluate the impact of reducing number of images on the point density of point clouds generated from SfM-MVS and the quantification of single trees. Also, We used the Watertight model to estimate the volume of a single tree and to shape it into a 3D structure and compare it with the quantification results of 3 different type of 3D models. The results of the analysis show that UAV, SfM-MVS and solid model can quantify and shape a single tree with low cost and high time resolution easily. This study is only for a single tree, Therefore, in order to apply it to a larger scale, it is necessary to follow up research to develop it, such as convergence with various spatial information data, improvement of quantification technique and flight plan for enlarging green space.
To estimate greenhouse gas (GHG) emission, the inventory of rice cultivation at the farming without agricultural chemicals was established from farmers in Gunsan, Jeonbuk province in 2011~2012. The objectives of this study were to calculate carbon footprint and analyse the major factor of GHGs. To do this, we carried out a sensitivity analysis using the analyzed main factors of GHGs and estimated the mitigation potential of GHGs. Also we suggested agricultural methods to reduce GHGs that can be appled by farmers at this region. At the farming system without agricultural chemicals, carbon footprint of rice production unit of 1 kg was 2.15 kg $CO_2.-eq.kg^{-1}$. Although the amount of carbon dioxide ($CO_2$) emission was the largest among GHGs, methane ($CH_4$) emission had the highest contribution to carbon footprint on rice production system when it was converted to carbon dioxide equivalent ($CO_2-eq.$) multiplied by the global warming potential (GWP). Main source of $CO_2$ emission in the rice farming system without agricultural chemicals was combustion of fossil fuels used by agricultural machinery. Most of the $CH_4$ was emitted during rice cultivation practice and its major emission factor was flooded paddy field in anaerobic condition. Also, most of the $N_2O$ was emitted from rice cultivation process. Major sources of the $N_2O$ emission was application of fertilizer such as compound fertilizer. As a result of sensitivity analysis in energy consumption, diesel had the highest sensitivity among the energy inputs. With the reduction of diesel consumption by 10%, it was estimated that $CO_2$ potential reduction was about 2.0%. With reducing application rate of compound fertilizer by 10%, the potential reduction was calculated that $CO_2$ and $N_2O$ could be reduced by 0.5% and 0.9%, respectively. At the condition of 10% reduction of silicate and compost, $CO_2$ and $CH_4$ could be reduced by 1.5% and 1.6%, respectively. With 8 days more drainage than the ordinary practice, $CH_4$ emission could be reduced by about 4.5%. Drainage and diesel consumption were the main sources having the largest effect on the GHG reduction at the farming system without agricultural chemicals. Based on the above results, we suggest that no-tillage and midsummer drainage could be a method to decrease GHG emissions from rice production system.
Ji, Young-Yong;Hong, Dae-Seok;Kang, Il-Sik;Shon, Jong-Sik
Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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v.5
no.3
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pp.257-265
/
2007
Spent filter wastes of about 1,000 units (200 L) have been stored in the waste storage facility of the Korea Atomic Energy Research Institute since its operation. At the moment, to secure space in a waste storage facility as well as to efficiently manage spent filter wastes, it is necessary to conduct a compaction treatment of these spent filters, and finally, to repack the compacted spent filters into a 200 liter drum. To do that, the spent filter wastes were first classified according to their generation facilities, their generation date and their surface dose rate by investigating the inventory of the spent filters. In order to repack a compacted spent filter in a 200 liter drum, it is first necessary to conduct a radionuclide assessment of a spent filter before compacting it. Therefore, after taking a representative sample from a spent filter without a dismantlement, the nuclide analysis for it will be conducted. And then, after putting a spent filter into a regular drum by conducting the columnar shaping of the hexahedral form of a spent filter, the compaction treatment of the shaped spent filter will be conducted by vertically compacting it.
Korean Journal of Agricultural and Forest Meteorology
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v.8
no.4
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pp.250-259
/
2006
This study looks into forest fire occurrence hazards according to the change of temperature and humidity over thirty years at interval of ten days. We used data from the forest fire inventory from 1995 to 2004 and weather data such as average temperature and relative humidity for 30 years from 1971 to 2000. These data were expressed as a database with ten-day intervals for 76 weather stations. Forest fire hazards occurred in the spring season from the end of March to the middle of April. For the first step, the primitive surface of temperature and humidity was interpolated by IDW (the standard interpolation method). These thematic maps have a 1 km by 1 km grid spacing resolution. Next, we executed a simple regression analysis after extracting forest fire frequency, temperature and humidity values from 76 weather stations. The results produced a coefficient of determination ($R^2$) ranging from 0.4 to 0.6. Moreover, the estimation of forest fire occurrence hazards during early April was very high at Gyeongbuk Interior, Chungcheong Interior and part of Gangwon. The range of temperature and humidity having an influence on forest fire occurrence was as follows: average temperature and relative humidity in early April was $9-12^{\circ}C$ and 61-65%. At the end of March, temperature was $6-10^{\circ}C$, humidity 62-67%, and temperature was $11-14^{\circ}C$ and humidity 60-67% in the middle of April.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.8
/
pp.285-293
/
2017
The purpose of this study is to examine the relationship between the Minnesota Multiphasic Personality Inventory(MMPI-2) clinical scales and the self-regulation quotient of the brain quotient. The test in this study was performed by 41 adults over 20 years old and was done using the MMPI-2, which is a self-reporting method. EEG was performed using a 2-channel EEG System at Fp1 and Fp2. The analysis showed a negative correlation between scale 2(D), which is the MMPI-2 clinical scale, and the SRQ(Self Regulation Quotient) relaxation status, which is the related alpha rhythm. Scale3(Hy) showed a positive correlation with the SRQ concentration status and low ${\beta}$ rhythm. Scale7 in the MMPI-2 clinical scales showed a negative correlation with the SRQ relaxation status, which is the alpha rhythm. This means that MMPI-2 and SRQ can be used complementarily in the field of counseling. These results could be interpreted in three ways. First, people with depression are sensitive to other people's attention and evaluation. Therefore, they tend to expend a lot of energy when forming interpersonal relationships, and if they do not learn to relax, their fatigue can easily be increased. Second, people who seek other people's interest and have a cheerful spirit are considered to be highly active. Third, highly stressed people with anxiety and tension seem to easily become tired and their irritation and discomfort may be increased in consequence.
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