• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.41-54
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• 2017

Physical activity has positive effects on cognitive functions by aging. However, it is rare to find research that have scientifically investigated the effects on the affective-cognitive function. Thus, this study aims to brain-scientifically research its effects of physical activity on the affective-cognitive function of adults in adolescence and senescence. As subjects of this study, a total of 60 males adults in D region were selected, and then equally divided into four groups of young exercise group(25~35y/o), young non-exercise group(26~35y/o), old exercise group(60~70y/o), and old non-exercise group(60~70y/o). As experiment tools, the EEG measuring equipment and International Affective Picture System(IAPS) were used. The experiment of this study used an affective-cognitive task where subjects pressed a button depending on emotional valence(positive, neutral, negative) shown in the pictures. During the task, EEG measured eight areas(Fp1, Fp2, Fz, C3, C4, Cz, T3, T4) out of brain areas in accordance with the international 10-20 electrode system, EEG was measured. For statistical analysis, a three-way ANOVA on $4(group){\times}3(stimulus){\times}8(area)$ was conducted. The results showed main effects of group in both reaction time and accuracy, and also in the latency of P3. And there was an interaction between group and stimulus the amplitude of P3. In conclusion, Physical activity has positive effects on the affective-cognitive function of people in adolescence and senescence.

• Transactions of the Korean Society of Automotive Engineers
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• v.24 no.1
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• pp.67-73
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• 2016

The application of titanium has been gradually rising because the utilizing ranges for low weight and high strength are rapidly increased by the need for improving the fuel economy in production industries such as the aviation and automotive in recent. The purpose in this study is to investigate the appropriate cutting conditions on the life of flat and round end mills by measuring the maximum cutting temperature relative to the machining time, and calculating the wear rates of cutting tool with the spindle speed and feed rate of vertical machining center as a parameter in the titanium roughing cut machining which is widely used in critical parts of aircraft, cars, etc. When the wetted roughing cut machining of titanium with a soluble cutting oil is conducted by the flat and round end mills, the maximum cutting temperatures for a variety of spindle speed and feed rate are measured at ten-minute intervals during 60 minutes by an infrared thermometer, and the wear rates of cutting tool are calculated by the weight ratios based on tool wear before and after the experiment. It is found that the maximum cutting temperature and the wear rates of cutting tool are raised as the cutting amount per tool edge is increased with the rise of feed rate, in this experimental range, and as the frictional area due to the rise of contacting friction numbers between tool and specimen is increased with the rises of cutting time and spindle speed. In addition, the increasing rate of maximum cutting temperature in the flat and round end mills are the highest for the cutting time from 50 to 60 minutes, and the wear rate of cutting tool in the flat end mill is 1.14 to 1.55 times higher than that in the round end mill for all experimental conditions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4778-4787
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• 2011

The purpose of this study to develop IT Outsourcing service quality evaluation measurement have been frequently used to apply a model KS-SQI in the service industry. Primary needs fulfillment, unexpected benefits, reliability, individual empathy, positive assistance, accessibility and physical environment were selected as independent variable, they evaluate IT outsourcing service quality in order to verify their suitability as a tool for IT outsourcing service evaluation measurement, to analyze how that affects IT outsourcing satisfaction, and to investigate whether affecting IT outsourcing satisfaction on recontract intentions. To validate the hypothesis by path analysis conducted between variables using LISREL, primary needs fulfillment, reliability, individual empathy, positive assistance, accessibility and physical environment have significant effect on IT outsourcing satisfaction, but unexpected benefits don't have effect on IT outsourcing satisfaction, and IT outsourcing satisfaction showed significant effect on recontract intentions. Six Measurement tools has been proved to be suitable as a IT outsourcing service quality evaluation tool. Contribution of this study to evaluate the quality of IT outsourcing services, KS-SQI model developed by applying the measuring tool was achieved theoretical extensions and practical aspects of a recontract with the provider of IT outsourcing and IT outsourcing services for as a tool to assess the quality of can be used.

• Therapeutic Science for Rehabilitation
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• v.10 no.2
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• pp.129-140
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• 2021

Objective : The purpose of this study was to examine differences in social maturity and behavioral problems according to the level of sleep problems in children with ASD. Methods : The participants were 102 mothers of infants with ASD aged 1-5 years. The Social Maturity Scales (SMS) and Child Behavior Checklist 1.5-5 were used as the measuring tools. Results : The level of sleep problems in infants with ASD was 56.58T on the sleep problems scale. The participants were grouped based on scores on the sleep problems scale: those with scores <65 (good sleepers) or scores ≥65 (poor sleepers). Sleep problems significantly correlated with all the scales on the CBCL. However, no association was found between sleep problems and social quotients. Poor sleepers achieved significantly lower scores on the social quotient scale of the SMS than good sleepers. Poor sleepers achieved significantly higher scores in internalizing problems, externalizing problems, and DSM-oriented scales on the CBCL compared to those in the good sleepers. Conclusion : The significance of this study is that it has verified the severity of sleep problems in infants with ASD and has examined the differences in social maturity and behavioral problems between poor sleepers and good sleepers.

• Journal of vocational education research
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• v.30 no.4
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• pp.259-279
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• 2011

The purpose of this study was to analyze a structural relations which occur when college students' inner and outer career barrier impacts on career decision status through the mediating variables of career decision making self-efficacy and career aspiration. The data of 787 college students subjects were collected for the study. The measuring tools were Career Decision Status, Outer Career Barriers, Inner Career Barriers, Career Aspiration, and Career Decision Making Self-Efficacy. The collected data were analyzed with structural equation modeling(SEM). The findings of the study were as follows. Results showed that only inner career barriers affect career decision status through the mediating variables of career decision making self-efficacy and career aspiration among outer and inner career barriers anticipated to give negative impact on level of career decision making. Inner career barriers affect career decision making self-efficacy negatively, and career decision making self-efficacy gives positive impact on career aspiration, and career aspiration affects career decision status negatively. In other words, the more aware of inner career barriers, the lower career decision making self-efficacy.

• Korean Journal of Environment and Ecology
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• v.32 no.6
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• pp.658-666
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• 2018

The purpose of this study is to verify the effects of yoga and meditation-focused forest healing programs on profiles of mood states and stress reactions of adults. We tested 17 adults who agreed to participate in the experiments that were conducted for 2 nights and 3 days between September 8 to 10, 2017 in the healing forest located at Hongcheon-gun, Gangwon-do. The test used the simplified version of the inventory for the profile of mood states (K-POMS-B: Korean version of Profile of Mood States-Brief) and the stress response inventory as the measuring tools. For data analysis, we examined the differences in the profile of mood states and stress response of subjects before and after participation in the program through the paired T-tests with the SPSS 24.0 program. The analysis of the impact of the yoga and meditation-focused forest healing program on the profile of mood states of the test subjects showed the statistically significant reduction of the total score of the profile of mood states. Although the vigor among sub-level inventories increased, it was not statistically significant. But the tension, depression, anger, fatigue, and confusion showed a statistically significant reduction. The analysis of the impact of the yoga and meditation-focused forest healing program on the stress response of the test subjects showed a statistically significant reduction. Among sub-level inventories, the tension, somatization, anger, depression, fatigue, and frustration showed a statistically significant reduction, but the aggressiveness did not. It is expected that the results of this study can be utilized in the future as reference data for clarifying the effects of yoga and meditation-focused forest healing programs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.110-124
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• 2019

In recent years, over-supply of hospitals has made hospital management more difficult and hospitals have introduced innovative hospital management to enhance customer satisfaction. The purpose of this study is to investigate the effect of innovativeness of hospitals on customer satisfaction by using mediating effects of hospital capacity and location strategy. The subjects of this study were selected from 120 patients and caregivers who were hospitalized in Seoul and Metropolitan area hospitals and conducted questionnaire and statistical analysis. The results of this study are as follows: Firstly, this paper shows hospital Innovativeness does not significantly affect customer satisfaction. Unlike private companies, it is urgent to develop innovativeness measuring tools that are unique to hospitals differentiated from those of general companies. Secondly, although the impact of Innovativeness on hospital internal competency and location strategy was similar, location strategy(${\beta}=0.357$) had a greater impact on customer satisfaction than internal competency(${\beta}=0.283$). This suggests that the medical institution should take precedence over the detailed preparations based on its location marketability, traffic infrastructure, building sales and medical concentration from the time of its opening. Thirdly, this paper confirms through empirical analysis that the relationship between hospital Innovativeness and customer satisfaction is completely mediated by internal capacity and location strategy. The hospital's Innovativeness is affecting customer satisfaction by enhancing the hospital's internal competencies and inducing an active attitude toward establishing a location strategy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.82-92
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• 2019

The purpose of this study was to analyze the relationship and degree of agreement between the six types of Geometry Psychological Assessment (GEOPIA) and four functions of the Myers-Briggs Type Indicator (MBTI) personality test, and to investigate the appropriate level of vocational aptitude commonly recommended by each tool. A total of 377 adult men and women from Korea, aged between 19 and 70 years, were tested using GEOPIA and the MBTI. Cronbach's alpha was calculated to verify the validity and reliability of the measuring tools, and the mean and standard deviation of each variable were calculated. Also, a cross-sectional analysis was conducted to examine the relationship between GEOPIA and the MBTI. The results showed that Round/Triangle (RT) types, Round/Box (RB) types, Triangle/Box (TB) types and Box/Curve (BC) types among the GEOPIA personality types are highly related to MBTI's Sensing/Thinking (ST) types. GEOPIA RC types were related to Intuition/Feeling (NF) and Sensing/Feeling (SF) types, and TC types were highly related to Intuition/Thinking (NT) types. Based on the common characteristics of the two tests, the findings suggest appropriate levels of vocational aptitude. Through this research, it was confirmed that GEOPIA (a Korean psychology and personality test) can be used in counseling, coaching, and education, and above all, is a reliable tool for vocational psychological assessment to search for career aptitude.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.219-228
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• 2019

The purpose of this study was to develop a tool to assess the job satisfaction of dental hygienists and to evaluate the validity and reliability of the dental hygienist. A total of 54 items were translated into 24 items through content validity and content analysis. The results of this study are as follows: overall satisfaction, income, patient relations, professional time, personal time, Practice Management, Delivery of Care and co-worker relations were classified by exploratory factor analysis. The fit of the model through confirmatory factor analysis generally met the criteria. As a result of the internal consistency test, Cronbach's ${\alpha}$ was found to be a reliable measure of measurement, with an overall satisfaction of 0.918, an income of 0.833, a patient relationship of 0.804, an occupational time of 0.675, a personal time of 0.939, a work practice of 0.739, The validity and reliability of the dental hygienist 's job satisfaction measurement tool were verified to be appropriate. It can be used to study the job satisfaction of dental hygienist in the future.

• Journal of Korean Neurosurgical Society
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• v.62 no.4
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• pp.442-449
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• 2019

Objective : Bone mineral density (BMD) is an important consideration during fusion surgery. Although dual X-ray absorptiometry is considered as the gold standard for assessing BMD, quantitative computed tomography (QCT) provides more accurate data in spine osteoporosis. However, QCT has the disadvantage of additional radiation hazard and cost. The present study was to demonstrate the utility of artificial intelligence and machine learning algorithm for assessing osteoporosis using Hounsfield units (HU) of preoperative lumbar CT coupling with data of QCT. Methods : We reviewed 70 patients undergoing both QCT and conventional lumbar CT for spine surgery. The T-scores of 198 lumbar vertebra was assessed in QCT and the HU of vertebral body at the same level were measured in conventional CT by the picture archiving and communication system (PACS) system. A multiple regression algorithm was applied to predict the T-score using three independent variables (age, sex, and HU of vertebral body on conventional CT) coupling with T-score of QCT. Next, a logistic regression algorithm was applied to predict osteoporotic or non-osteoporotic vertebra. The Tensor flow and Python were used as the machine learning tools. The Tensor flow user interface developed in our institute was used for easy code generation. Results : The predictive model with multiple regression algorithm estimated similar T-scores with data of QCT. HU demonstrates the similar results as QCT without the discordance in only one non-osteoporotic vertebra that indicated osteoporosis. From the training set, the predictive model classified the lumbar vertebra into two groups (osteoporotic vs. non-osteoporotic spine) with 88.0% accuracy. In a test set of 40 vertebrae, classification accuracy was 92.5% when the learning rate was 0.0001 (precision, 0.939; recall, 0.969; F1 score, 0.954; area under the curve, 0.900). Conclusion : This study is a simple machine learning model applicable in the spine research field. The machine learning model can predict the T-score and osteoporotic vertebrae solely by measuring the HU of conventional CT, and this would help spine surgeons not to under-estimate the osteoporotic spine preoperatively. If applied to a bigger data set, we believe the predictive accuracy of our model will further increase. We propose that machine learning is an important modality of the medical research field.