• Journal of the Korean Society of School Health
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• v.14 no.2
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• pp.237-248
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• 2001

This study was designed to identify the relation between the Perceived Social Support and the Self-care Agency of high school students in a rural area. The subjects for this study were 250 students living in Chonnam province: among first grade, second grade and third grade students were 98, 89 and 63 respectively. The data were collected during the period from April 2 to 4, 2001. The instruments used in this study were the Generally Perceived Social Support Scale developed by Park, J. W.(1985) and Self-Care Agency Questionnarie developed by Deneys(1981). The data were analyzed by descriptive statistic, t-test, ANOVA, and Pearson's correlation using the SAS PC+ Program. The results were as follows: 1. The mean score of the Perceived Social Support was 3.19. 2. The mean score of the Self-care Agency was 2.65. 3. There was a significant differences in school year(F=3.11, p=.046), educational level of the father(F=3.41, p=.035) that of the mother(F=4.07, p=.019), and economic status(F=8.99, p=.000), school performance(F=16.37, p=.000) from Perceived Social Support between general characteristics. 4. There was a significant differences in economic status(F=4.55, p=.004), school performance(F=6.72, p=.002) from self care agency between general characteristics. 5. The relation between the score of the Perceived Social Support and Self-care Agency was significant(r=.49, p=.0001). The relation between the score of the direct Perceived Social Support and Self-care Agency was significant(r=.50, p=.0001) and the relation between the score of the indirect Perceived Social Support and Self-care Agency was also significant(r=.40, p=.0001). In conclusion, it was found that higher score of the Social Support was a higher level of the Self-care Agency, especially the direct Perceived Social Support. The score of the Social Support and Self-care Agency was significantly differentiated according to economic status and school performance.

• Archives of Craniofacial Surgery
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• v.10 no.1
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• pp.23-28
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• 2009

Purpose: Blow out fracture can present tenderness, swelling, enophthalmos, extraoccular muscle limitation, paresthesia, diplopia according to severity of injury, so reconstruction of blow out fracture is important. Orbital soft tissue should be in orbit and defected orbital wall should be corrected by autologus tissue or alloplastic implants. Every implants have their merits and faults, every implants are used various. This study was designed to compare the sequelae of blow-out fracture repair using the alloplastic implants: micro-titanium mesh(Micro Dynamic titanium $mesh^{(R)}$, Leibinger, Germany), porous polyethylene ($Medpor^{(R)}$, Porex, USA), absorbable mesh plate(Biosorb $FX^{(R)}$ . Bionx Implants Ltd, Finland). Methods: Between January 2006 and April 2008, 52 patients were included in a retrospective study analysing the outcome of corrected inferior orbital wall fracture with various kind of implants. Implants were inserted through subciliary incision. Twenty patients were operated with micro-titanium mesh, fourteen patients with porous polyethylene and eighteen patients with absorbable mesh plate. In comparative category, enophthalmos, diplopia, range of motion of extraoccular muscle, inferior orbital nerve injury were more on frequently statistically in patients. Results: Fourteen of 18 patients underwent surgical repair to improve diplopia, 11 of 17 patients to improve parasthesia, 11 of 15 patients to improve enophthalmos, 8 of 9 patients to improve extraoccular muscle limitation. Duration of follow-up time ranged from 6 months to 12 months(mean, 7.4 months). There was no statistic difference of sequelae between micro titanium mesh and porous polyethylene and absorbable mesh plate in blowout fracture, inferior wall. Conclusion: There is no difference of sequelae between micro-titanium mesh, porous polyethylene and absorbable mesh plate in blow-out fracture, inferior wall. The other factors such as defect size, location, surgeon's technique, may influence the outcome of blow-out fracture repair.

• Journal of Electrochemical Science and Technology
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• v.13 no.4
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• pp.438-452
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• 2022

For cuboid and ellipsoid crystallites of LiFePO₄ powders, by X-ray diffraction (XRD) and microscopic (TEM) studies, it is possible to determine the anisotropic parameters of the crystallite size distribution functions. These parameters were used to describe the cathode rate capability within the model of averaging the diffusion coefficient D over the length of the crystallite columns along the [010] direction. A LiFePO₄ powder was chosen for testing the developed model, consisting of big cuboid and small ellipsoid crystallites (close to them). When analyzing the parts of big and small rate capabilities, the fitting values D = 2.1 and 0.3 nm²/s were obtained for cuboids and ellipsoids, respectively. When analyzing the results of cyclic voltammetry using the Randles-Sevcik equation and the total area of projections of electrode crystallites on their (010) plane, slightly different values were obtained, D = 0.9 ± 0.15 and 0.5 ± 0.15 nm²/s, respectively. We believe that these inconsistencies can be considered quite acceptable, since both methods of determining D have obvious sources of error. However, the developed method has a clearly lower systematic error due to the ability to actually take into account the shape and statistics of crystallites, and it is also useful for improving the accuracy of the Randles-Sevcik equation. It has also been demonstrated that the shape engineering of crystallites, among other tasks, can increase the cathode capacity by 15% by increasing their size correlation coefficients.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.257-266
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• 2023

This descriptive research study investigates nursing Workplace spirituality, grateful disposition, hope, and nursing performance of clinical nurses to identify related factors. The study participants were 323 nurse working general hospitals K, P, and S cities. Data were collected during July and August 2022 using a structured questionnaire. The SPSS 25.0 program was used to analyze descriptive statistic, t-test, ANOVA, Pearson correlation coefficient, and hierarchical regression analysis. The study results indicated that nursing performance was 4.23 out of 7, nursing workplace spirituality was 4.48 out of 7, grateful disposition was 4.23 out of 7, and hope was 2.77 out of 4. Result showed that nursing performance is positive associated nursing workplace spirituality (r=.58, p<.001), grateful disposition (r=.41, p<.001), and hope (r=.47, p<.001). The result of hierarchical regression analysis that grateful disposition (β=.417, p<.001), hope (β=.357, p<.001), and nursing workplace spirituality (β=.235, p<.001), were predictive of nursing performance (R²=.301, p<.000). Therefore, educational programs and workforce management systems that can enhance nursing workplace spirituality, grateful disposition, and hope in the workplace are needed to improve nursing performance.

• Food Science of Animal Resources
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• v.30 no.3
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• pp.487-494
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• 2010

Cooked pork can be easily contaminated with Staphylococcus aureus during carriage and serving after cooking. This study was performed to develop growth prediction models of S. aureus to assure the safety of cooked pork. The Baranyi and Gompertz primary predictive models were compared. These growth models for S. aureus in cooked pork were developed at storage temperatures of 5, 15, and $25^{\circ}C$. The specific growth rate (SGR) and lag time (LT) values were calculated. The Baranyi model, which displayed a $R^2$ of 0.98 and root mean square error (RMSE) of 0.27, was more compatible than the Gompertz model, which displayed 0.84 in both $R^2$ and RMSE. The Baranyi model was used to develop a response surface secondary model to indicate changes of LT and SGR values according to storage temperature. The compatibility of the developed model was confirmed by calculating $R^2$, $B_f$, $A_f$, and RMSE values as statistic parameters. At 5, 15 and $25^{\circ}C$, $R^2$ was 0.88, 0.99 and 0.99; RMSE was 0.11, 0.24 and 0.10; $B_f$ was 1.12, 1.02 and 1.03; and $A_f$ was 1.17, 1.03 and 1.03, respectively. The developed predictive growth model is suitable to predict the growth of S. aureus in cooked pork, and so has potential in the microbial risk assessment as an input value or model.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.217-226
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• 2024

This study is a descriptive research study to figure out the effect of unstable an adult attachment, self-mercy and emotional recognition clarity on interpersonal skills targeting nursing freshman. From 27th of March 2023 to 7th of April 2023, data gathered from the nursing freshman of university in J city, G province were analyzed. Using IBM SPSS/25, the data was analyzed descriptive statistic t-test, ANOVA and multiple correlation analysis. Interpersonal skills have negative correlation with unstable adults attachment(r=-.19, p=.005), and also have positive correlation with self-mercy (r=.38, p<.001) and emotional recognition clarity (r=.28, p<.001). Using hierarchical multiple regression analysis of factors that effects on interpersonal skills of survey subjects, self-mercy was the factor predict one's interpersonal skills the most, extroverted, mixed and emotional recognition clarity in order. The higher self- mercy and emotional recognition clarity are, the bigger influences interpersonal skills have and 24.5% of explanatory power. For nursing school students, interpersonal skills was one of the essential qualities so various methods to improve their interpersonal skills should be figured out.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.649-657
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• 2013

Purpose: In this study, the actual situation of domestic firms vulnerable to industrial security competence will be discussed. And accordingly be discussed for effective response measures. Methods: Using a structured questionnaire by mail, fax, e-mail and fill method was used respondents. By the end of '10 R&D Center, which holds 15,247 companies(population) among the 95% level of confidence, tolerance ${\pm}3%$ p-level corporate type, sector, region extraction method stratified multi-level companies were investigated through the final 1529. Results: The average level of industrial security capabilities 43.8%(out of 100) is very weak, so urgent and positive response measures also need to be investigated sought. Conclusion: we propose the effective management framework and improvement plans to prevent illegal industrial leakage are to be made.

• Korean Journal of Food Science and Technology
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• v.23 no.6
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• pp.711-716
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• 1991

Various multivariate statistics were applied to determine the relationships between sensory properties of 9 pre-cooked foods. Twelve sensory terms were selected to differentiate the food samples in stepwise discriminant analysis. Three factors accounted for 61.9% of total variation of 12 sensory attributes detected. Factor I was highly related to the qualitative sensory terms, while factor II to the quantitative ones. The principal component plot made it possible to define the relationships between sensory properties and food samples. In cluster analysis using average linkage and Ward's method, nine pre-cooked foods were classified into three clusters in terms of their sensorial similarities.

• Smart Structures and Systems
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• v.13 no.1
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• pp.81-98
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• 2014

This paper presents the elastic buckling of smart lightweight column structures integrated with a pair of surface piezoelectric layers using artificial intelligence. The finite element modeling of Smart lightweight columns is found using $ANSYS^{(R)}$ software. Then, the first buckling load of the structure is calculated using eigenvalue buckling analysis. To determine the accuracy of the present finite element analysis, a compression study is carried out with literature. Later, parametric studies for length variations, width, and thickness of the elastic core and of the piezoelectric outer layers are performed and the associated buckling load data sets for artificial intelligence are gathered. Finally, the application of soft computing-based methods including artificial neural network (ANN), fuzzy inference system (FIS), and adaptive neuro fuzzy inference system (ANFIS) were carried out. A comparative study is then made between the mentioned soft computing methods and the performance of the models is evaluated using statistic measurements. The comparison of the results reveal that, the ANFIS model with Gaussian membership function provides high accuracy on the prediction of the buckling load in smart lightweight columns, providing better predictions compared to other methods. However, the results obtained from the ANN model using the feed-forward algorithm are also accurate and reliable.

• KIEAE Journal
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• v.11 no.1
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• pp.21-28
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• 2011

The objective of this study is to analysis the properties for reclassifying green roofs into three types by cluster analysis after investigating the present condition in thirty green roofs which were created from 2002 to 2004 by Seoul Metropolitan Government. The previous classification was resulted in structure safety diagnosis in the type of green roofs and visible judgment by experts in sites. However, it should have been corrected. Therefore, it needed a reestablished concept and a reclassification in green roofs. The results of this study are as follows : the concept of a rooftop garden and a green roof is different from previous studies. The rooftop gardens named by intensive green roofs are closed to integrated management, whereas the green roofs are closed to low management. The reclassification of green type was also conducted to use the statistic analysis of categorical regression by previous studies, and the factors extracted by the categorical regression were influenced by greening type. The figure of R-square representing explanation in regression analysis is 95.2%. As this result was analyzed, it was proved into rooftop gardens demanded for high activity by people.