• The Korean Journal of Pesticide Science
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• v.20 no.1
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• pp.14-22
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• 2016

A trial of combining and quantifying the effects of food processing on various pesticides was carried out using a meta-analysis. In this study, weighted mean response ratios and confidence intervals about the reduction of pesticide residue levels in fruits and vegetables treated with various food processing techniques were calculated using a statistical tool of meta-analysis. The weighted mean response ratios for tap water washing, peeling, blanching (boiling) and oven drying were 0.52, 0.14, 0.34 and 0.46, respectively. Among the food processing methods, peeling showed the greatest effect on the reduction of pesticide residues. Pearsons's correlation coefficient (r=0.624) between weighted mean response ratios and octanolwater partition coefficients ($logP_{ow}$) for twelve pesticides processed with tap water washing was confirmed as having a positive correlation in the range of significance level of 0.05 (p=0.03). This means that a pesticide having the higher value of $logP_{ow}$ was observed as showing a higher weighted mean response ratio. These results could be used effectively as a reference data for processing factor in risk assessment and as an information for consumers on how to reduce pesticide residues in agricultural products.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.571-580
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• 2022

This study was a descriptive research to investigate clinical violence experience, response to violence experience, resilience and academic burnout and to identify the factors affecting the academic burnout among nursing students. The participants were 318 nursing students. who were recruited from the 2 Department of Nursing in B Metropolitan and 2 Department of Nursing in Gyeongsangnam-do. The structured questionnaire was self-administered from November 1 to 30, 2019. Data were analyzed through the SPSS/WIN 24.0 program using descriptive statistics, Independent t-test와 one-way ANOVA, Scheffe test, Pearson's correlation coefficient, and stepwise multiple regression. According to the results of this study, Mean score for academic burnout in nursing student was 2.58 out of 4 point. The factors of satisfaction with clinical practice(β=-.393, p<.001), satisfaction with nursing major(β=-.188, p<.001), responses to violence experience(β=.176, p<.001), perceived health status(β=-.156, p<.001) attacker(β=.135, p=.002), resilience(β=-.118, p=.016)were impact on the academic burnout level of nursing students. The total explanatory power accounted for 45.9%. In conclusion, since clinical practice satisfaction and major satisfaction are the factors that have the greatest influence on academic burnout, it is necessary to develop various educational strategies and a student counseling program to reduce negative reactions after experiencing violence and improve resilience. In addition, a qualitative study on the clinical violence experience, response to violence experience and academic burnout of nursing students is needed.

• Journal of Life Science
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• v.32 no.10
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• pp.743-748
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• 2022

The garlic chive (Allium tuberosum Rotter) is a prominent herb species in Asia and other nations of the world. Garlic chives is a favorite vegetable and used to garnish noodles in Korea. The effects of various doses of N, P, and K fertilizers and drought stress on the chlorophyll content in the leaves of garlic chives were investigated. The evaluations showed that chlorophyll a content was 0.386 at 10 mg/l N fertilizer and 0.584 at 50 mg/l N fertilizer. The treatment group showed a significant difference with regard to the contents of chlorophylls a and b and total chlorophyll at the 5% level (p<0.05). Pearson's correlation coefficient (Pearson's r) for chlorophylls a and b and total chlorophyll were 0.940, 0.966, and 0.971, respectively. The highest content of chlorophylls a and b and total chlorophyll in the leaves was recorded at 40 mg/l P fertilizer, while the values corresponding to 50 mg/l P fertilizer were lower than those for 40 mg/l P fertilizer. The content of total chlorophyll evaluated at 10 mg/l K fertilizer was 0.312 and that at 50 mg/l was 0.589. The simple linear regression showed the relationship between chlorophyll efficiency aand moisture. The slope factors of the dark-level fluorescence yield (Fo), the maximum fluorescence yield (Fm), the quenched state (Fv), and the maximal PSII quantum yield (Fv/Fm) for chlorophyll-efficient indicators were -0.931, 0.972, 972, and 0.950, respectively. NPK fertilizers and drought stress affected the chlorophyll content and efficiency of A. tuberosum.

• Journal of Hospice and Palliative Care
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• v.17 no.3
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• pp.151-160
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• 2014

Purpose: This study was conducted to investigate perception of good death among the community-dwelling elderly and identify factors related to the perception. Methods: A questionnaire survey was carried out using a convenient sampling method (N=317). Data were analyzed by applying descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, and stepwise multiple regression. Results: Participants scored an average of 3.35 on a 4-point scale for the perception level of good death. They scored higher on the factor of personal control that other factors affecting the perception. Good death was positively correlated with family support (r=0.252). Family support (${\beta}$=0.287) and gender (${\beta}$=0.197) significantly influenced the elderly's perception of good death. These variables accounted for 10.2% of the total variance. Conclusion: The results show that family support is an important factor for the perception of good death among the elderly. Therefore, family support should be carefully considered to ensure good death for more senior citizens. Our findings can be utilized to support programs such as death education for the elderly.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.469-481
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• 2013

The purpose of this study was to describe working stress, child-rearing stress and parenting attitude of nurses who have preschool children. Methods: Data were collected by questionnaires from 136 nurses in three university hospital in 2011, and analyzed by the SPSS 12.0 program. Results: Nurses scored 3.48 points on average in working stress, 2.47 points in child-rearing stress, 3.61 points in parenting attitude. According to analysis on working stress depending on general demographic characteristics showed significant differences in workplace, monthly weekend duty frequency and in child-rearing stress depending on husband's age, wife's age, total income, marital period, satisfaction at relationship with husband, working career, number of children, and a person who cares for their children. According to parenting attitude depending on general demographic characteristics showed significant differences in working condition, marital period, position, working conditions, marital period, workplace, monthly weekend duty frequency. Correlations among nurses' working stress, child-rearing stress and parenting attitude, nurses' working stress had significantly correlations with parenting stress. Conclusion: Results of the study provides data on nursing interventions to relieve nurses from their working stress and child-rearing stress and to promote favorable child parenting attitude.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.272-280
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• 2019

This descriptive research study investigated the relationships between different degrees of family support, ego-resilience and employment volition of patients suffering from alcohol use disorder, and we identified the factors that had an influence on employment volition. This study used the survey research technique and structured questionnaires. The data was collected from 128 males (aged 20 years or older) and who had been diagnosed with alcohol use disorder. They had also undergone either inpatient hospital care or outpatient treatment. The data was analyzed using descriptive statistics, one-way ANOVA, Pearson's correlation coefficient and multiple regression analysis. The results of the study showed that family support had a value of 4.30, an ego resilience had a value of 2.37 and the employment volition had a value of 4.06. The results of the multiple regression analysis showed that there was statistically significant positive correlation between employment volition and ego resilience (${\beta}=-.314$, p<.01) and age (${\beta}=-.253$, p<.01), and the total explanatory power of these 2 factors was 16.3%. According to the results of this study, age-based approaches are needed to improve the employment volition of patients with alcohol use disorder. Additionally, the results of this study suggest that an ego resilience enhancement program be developed and implemented to help these patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.376-383
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• 2019

This study was conducted to investigate academic self-efficacy, critical thinking disposition, and learning motivation, which influence problem solving ability in nursing students. Data were collected from June 4, 2018 to June 29, 2018, and the final 213 data points were used for analysis. The SPSS/WIN 22.0 program was used to conduct descriptive statics, Pearson's correlation coefficient, t-tests, ANOVA, Scheffe's test and multiple regression analysis. The problem solving ability according to the general characteristics differed among residential type (F=3.930, p=0.021) and satisfaction with major (F=4.618, p=0.011). In the correlation between academic self-efficacy, critical thinking disposition, learning motivation, and problem solving ability of the subject, academic self-efficacy (r=0.573, p<0.001), critical thinking disposition (r=0.620, p<0.001), and learning motivation (r=0.563, p<0.001). The factors affecting the problem solving ability of the study subjects were major satisfaction (${\beta}=.117$, p=0.036), academic self-efficacy (${\beta}=0.314$, p<0.001), critical thinking disposition (${\beta}=0.318$, p<0.001), and learning motivation (${\beta}=0.217$, p=0.004), with an explanatory power of 45.2%. In this study, it is necessary to confirm the effects of the development of the intervention program and the application of the program, which can improve the problem solving ability of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.281-289
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• 2021

The purpose of this study was to investigate the level of knowledge, preventive health behavior of the COVID-19 among nursing students. Data were collected from 190 nursing female students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient using SPSS/WIN 22.0. The degree of knowledge about COVID-19 in nursing female students was 9.18±1.95. The degree of preventive health behaviors on COVID-19 in nursing female students was 3.62±0.30. There were significant differences in knowledge about COVID-19 with respect to age(F=5.981, p=.001), grade(r=6.376, p<.001), college life satisfaction(F=3.632, p=.007). There were significant differences in preventive health behavior of the COVID-19 with respect to age(F=4.018, p=.008), grade(F=2.719, p=.046), health state(F=3.845, p=.005) college life satisfaction(F=3.875, p=.005), clinical experience satisfaction/expectation(F=4.337, p=.002), necessity COVID 19(t=2.801, p=.006). Through this research can be used as basic data by COVID 19 infection control education of nursing students.

• Journal of the korean academy of Pediatric Dentistry
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• v.39 no.3
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• pp.257-266
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• 2012

The objective of this in vitro study was to monitor the amount of remineralization of decalcified enamel according to the number of fluoride varnish application using quantitative light-induced fluorescence-D and polarizing microscope. Artificial white lesion induced on the sound 72 teeth, $CavityShield^{TM}$ (Group I), $FluroDose^{TM}$ (Group II) and $Flor-Opal^{(R)}$ Varnish (Group III) were applied 1, 2 or 3 times every two weeks. The following results was obtained: 1. In group I, II and III, ${\Delta}L$ were increased. From regression analysis of ${\Delta}L$ by the number of application, the equation was y = 3.878x + 90.612 in group I, y = 3.133x + 37.168 in group II, and y = 3.509x + 82.322 in group III(p < 0.05). 2. In group I, II and III, ${\Delta}D$ were decreased. From regression analysis of ${\Delta}D$ by the number of application, the equation was y = -2.336x + 107.235 in group I, y = -2.158x + 101.620 in group II, and y = -1.940x + 94.806 in group III(p < 0.05). 3. The Pearson correlation value between the ${\Delta}L$ and ${\Delta}D$ was -0.673 in group I, -0.574 in group II, and -0.431 in group III(p < 0.05).

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.1
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• pp.29-41
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• 2019

Terrestrial Gross Primary Production (GPP) is the largest global carbon flux, and forest ecosystems are important because of the ability to store much more significant amounts of carbon than other terrestrial ecosystems. There have been several attempts to estimate GPP using mechanism-based models. However, mechanism-based models including biological, chemical, and physical processes are limited due to a lack of flexibility in predicting non-stationary ecological processes, which are caused by a local and global change. Instead mechanism-free methods are strongly recommended to estimate nonlinear dynamics that occur in nature like GPP. Therefore, we used the mechanism-free machine learning techniques to estimate the daily GPP. In this study, support vector machine (SVM), random forest (RF) and artificial neural network (ANN) were used and compared with the traditional multiple linear regression model (LM). MODIS products and meteorological parameters from eddy covariance data were employed to train the machine learning and LM models from 2006 to 2013. GPP prediction models were compared with daily GPP from eddy covariance measurement in a deciduous forest in South Korea in 2014 and 2015. Statistical analysis including correlation coefficient (R), root mean square error (RMSE) and mean squared error (MSE) were used to evaluate the performance of models. In general, the models from machine-learning algorithms (R = 0.85 - 0.93, MSE = 1.00 - 2.05, p < 0.001) showed better performance than linear regression model (R = 0.82 - 0.92, MSE = 1.24 - 2.45, p < 0.001). These results provide insight into high predictability and the possibility of expansion through the use of the mechanism-free machine-learning models and remote sensing for predicting non-stationary ecological processes such as seasonal GPP.