• Safety and Health at Work
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• v.11 no.2
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• pp.178-186
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• 2020

Background: Cognitive impairment is a public health burden. Our objective was to investigate associations between work hours and cognitive function. Methods: Multi-Ethnic Study of Atherosclerosis (MESA) participants (n = 2,497; 50.7% men; age range 44-84 years) reported hours per week worked in all jobs in Exams 1 (2000-2002), 2 (2002-2004), 3 (2004-2005), and 5 (2010-2011). Cognitive function was assessed (Exam 5) using the Cognitive Abilities Screening Instrument (version 2), a measure of global cognitive functioning; the Digit Symbol Coding, a measure of processing speed; and the Digit Span test, a measure of attention and working memory. We used a prospective approach and linear regression to assess associations for every 10 hours of work. Results: Among all participants, associations of hours worked with cognitive function of any type were not statistically significant. In occupation-stratified analyses (interaction p = 0.051), longer work hours were associated with poorer global cognitive function among Sales/Office and blue-collar workers, after adjustment for age, sex, physical activity, body mass index, race/ethnicity, educational level, annual income, history of heart attack, diabetes, apolipoprotein E-epsilon 4 allele (ApoE4) status, birth-place, number of years in the United States, language spoken at MESA Exam 1, and work hours at Exam 5 (β = -0.55, 95% CI = -0.99, -0.09) and (β = -0.80, -1.51, -0.09), respectively. In occupation-stratified analyses (interaction p = 0.040), we also observed an inverse association with processing speed among blue-collar workers (adjusted β = -0.80, -1.52, -0.07). Sex, race/ethnicity, and ApoE4 did not significantly modify associations between work hours and cognitive function. Conclusion: Weak inverse associations were observed between work hours and cognitive function among Sales/Office and blue-collar workers.

• Proceedings of the Ginseng society Conference
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• 1984.09a
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• pp.97-105
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• 1984

Effect of water extract of red ginseng (Panax ginseng C.A. Meyer) from Nagano prefecture on (1) forced exercise in mice using rope climbing test, (2) extinction of memory in hanging stressed mice and rectal temperature during the exposure to hanging stress, (3) sex and learning behavior of chronic hanging stressed mice, (4) sex cycle in the adult female mice using chronic hanging stress, and (5) motor coordination and one trial passive avoidance response in $40\%$ alcohol administered mice using rotar-rod and step-through tests, were studied. Drugs tested were given orally. (1) When it was given before the forced exercise, it potentiated the performance of the forced exercise. When it was given just after the forced exercise once a day for 2 weeks, it protected the mice against the reduction of the performance on the forced exercise. (2) When it was given just after the stress once a day for 4 days, it delayed the extinction of passive avoidance response in both step through and stepdown tests, and protected the stressed mice against the decrease in rectal temperature slightly. (3) It protected the stressed mice against the decrease of sex behaviour and the increase in the failure of performance of passive avoidance response, and delayed the extinction of passive avoidanc

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.519-522
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• 2017

In this paper, we propose an algorithm for an alternative method using the clustering algorithm in a system that needs classification to extract individual user context information. In the conventional user classification system, the user has to input his own information. In this paper, we will research and develop a system applying a clustering algorithm which can extract user 's perceived information applying the improved algorithm for user management base. Generally, the algorithm that distinguishes users with the same data makes sure that recorded information matches the newly entered information, and then responds accordingly. However, it is troublesome to manually input information of the new user. Therefore, in this paper, we propose a method to distinguish users by using the clustering algorithm based on the analyzed data from the working memory in the accumulated system without directly inputting the user information. The study shows that the management method applied to the applied algorithm is more adaptive in environments where the number of people is different from that of the existing system (as a subjective observer test method).

• The KIPS Transactions:PartA
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• v.18A no.5
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• pp.193-204
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• 2011

Since web applications are accessed by anonymous users via web, more security risks are imposed on those applications. In particular, because security vulnerabilities caused by insecure source codes cannot be properly handled by the system-level security system such as the intrusion detection system, it is necessary to eliminate such problems in advance. In this paper, to enhance the security of web applications, we develop a static analyzer for detecting the well-known security vulnerability of PHP file inclusion vulnerability. Using a semantic based static analysis, our vulnerability analyzer guarantees the soundness of the vulnerability detection and imposes no runtime overhead, differently from the other approaches such as the penetration test method and the application firewall method. For this end, our analyzer adopts abstract interpretation framework and uses an abstract analysis domain designed for the detection of the target vulnerability in PHP programs. Thus, our analyzer can efficiently analyze complicated data-flow relations in PHP programs caused by extensive usage of string data. The analysis results can be browsed using a JAVA GUI tool and the memory states and variable values at vulnerable program points can also be checked. To show the correctness and practicability of our analyzer, we analyzed the source codes of open PHP applications using the analyzer. Our experimental results show that our analyzer has practical performance in analysis capability and execution time.

• Korean Journal of Community Nutrition
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• v.19 no.2
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• pp.142-162
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• 2014

Objectives: To evaluate the critical environmental factors on healthy-aging of Korean people, we investigated the significant factors influencing health status of septuagenarians living in rural area of Jeonla province, known to be one of the representative longevity regions in Korea. Methods: We divided subjects into healthy group (36M/25F) or poor-health group (26M/73F) based on self-reported health status, body mass index, a number of prescription, and blood test data. General characteristics, physical measurements, lifestyle, dietary behavior and nutrient intake, physical health and mental health data were statistically compared between the two groups. Results: Average age was not different between healthy group and poor-health group in men and women, respectively. In men, significantly favorable factors to health were observed to be higher education, regular exercise, higher grip strength and walking function, body mass index (${\geq}18.5kg/m^2$), moderate frequency of drinking and eating-out, non-smoking, normal red blood cell (RBC) count, higher serum dehydroepiandrosterone-sulfate (DHEAS) level, good digestive function and appetite, normal hearing function, regular meals, adequate vegetable and fruit intake, diverse food intake, adequate energy and nutrients (protein, vitamin $B_1$, $B_6$, C and E, folate, niacin, P, Zn and K) intake, higher mini-nutrient status assessment (MNA) score and low level of depression. On the other hand, in women, those were literacy, living arrangement, moderate frequency of drinking, healthy teeth, higher grip strength and walking function, bone mineral density, normal RBC and white blood cell (WBC) count, higher DHEAS concentration, higher MNA score, normal cognition and memory function, having snack and adequate fruit intake. Conclusions: These results could be useful to plan effective strategies to increase health-life expectancy of Korean old people living in rural areas.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.10
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• pp.1277-1286
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• 2018

In this paper, we provide flexible scalability of computing resources in cloud environment and Apache Hadoop based cloud environment for analysis of public medical information big data. In fact, it includes the ability to quickly and flexibly extend storage, memory, and other resources in a situation where log data accumulates or grows over time. In addition, when real-time analysis of accumulated unstructured log data is required, the system adopts Hadoop-based analysis module to overcome the processing limit of existing analysis tools. Therefore, it provides a function to perform parallel distributed processing of a large amount of log data quickly and reliably. Perform frequency analysis and chi-square test for big data analysis. In addition, multivariate logistic regression analysis of significance level 0.05 and multivariate logistic regression analysis of meaningful variables (p<0.05) were performed. Multivariate logistic regression analysis was performed for each model 3.

• Journal of the Korean Society for Nondestructive Testing
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• v.36 no.1
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• pp.18-26
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• 2016

The semiconductor industry is one of the key industries of Korea, which has continued growing at a steady annual growth rate. Important technology for the semiconductor industry is high integration of devices. This is to increase the memory capacity for unit area, of which key is photolithography. The photolithography refers to a technique for printing the shadow of light lit on the mask surface on to wafer, which is the most important process in a semiconductor manufacturing process. In this study, the width and step-height of wafers patterned through this process were measured to ensure uniformity. The widths and inter-plate heights of the specimens patterned using photolithography were measured using transmissive digital holography. A transmissive digital holographic interferometer was configured, and nine arbitrary points were set on the specimens as measured points. The measurement of each point was compared with the measurements performed using a commercial device called scanning electron microscope (SEM) and Alpha Step. Transmission digital holography requires a short measurement time, which is an advantage compared to other techniques. Furthermore, it uses magnification lenses, allowing the flexibility of changing between high and low magnifications. The test results confirmed that transmissive digital holography is a useful technique for measuring patterns printed using photolithography.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.3
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• pp.351-359
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• 2019

Neurocognitive testing commonly uses the MMSE (Mini-Mental State Examination) to evaluate the overall cognitive function of patients at outpatient clinics, but the MMSE has recently been extensively used in the SNSB II (Seoul Neuropsychological Screening Battery II) for making diagnoses. We retrospectively investigated the results of routine neurocognitive tests and the results of the blood tests of 120 elderly patients who had been referred to a South Central Medical Center from 2017 to 2018 and who had been examined at a public health center. These subjects' space-time capability was high on the sub-region of the global deterioration scale (GDS). GDS showed a significant increase as the Na decreased on the electrolyte analysis. The subjects' concentration, their language-based orientation for space and time, their memory, and their scores for the frontal lobe function on GDS showed statistically significant reductions (P<0.001) For the normal and abnormal groups according to the ALT and creatinine levels, the frontal/execute function areas showed statistically significant differences (P<0.001) as well as negative correlation between GDS and ALT (P<0.01). In conclusion, this study provides basic information to develop test items that are important for patient screening and diagnosis, and several routine blood chemistry factors provide basic information for diagnosing and assessing the status and progress of cognitively impaired patients.

• Management & Information Systems Review
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• v.37 no.4
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• pp.237-256
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• 2018

This study focused on the concept of organizational learning as a prior variable of innovation activities, and reviewed the relationship between organizational learning, innovation and management performance. According to prior studies, the ability to perform these activities may be enhanced through organizational learning, as the success of the innovation requires activities to acquire and share knowledge within the organization. In other words, organizational learning is playing a role as a precursor to innovation. Therefore, in this study, the effects of organizational learning on management performance are to be verified through the mediation effect of product and innovation activities. Organizational learning provides various definitions and components for each scholar, but this study consisted of a series of knowledge acquisition, information distribution, information analysis and process memory using the framework of the learning ability analysis by Levitt and March(1988) and Huber(1991), Innovation was also divided into product innovation and process innovation, and measured with sub-variables such as presentation of new products and improvement activities to increase productivity. Management performance was measured as financial and non-financial performance. To verify the effects of the mediation, we used a three-step regression analysis procedure of Baron and Kenny(1986)'s and a sobel-test. Empirical studies show that organizational learning has a positive effect on management performance and that knowledge acquisition and information distribution, which are the early stages of learning activities in the lower variables, affect performance through product innovation. Based on the results of the above empirical study, the implications, limitations of the study and future research directions were presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.536-545
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• 2021

This study was conducted to investigate the effect of agarwood (Thymelaeaceae) inhalation using an electric incense burner on stress and brain waves. Sixteen participants were included in the study during the period from September 2019 to April 2020. Participant recruitment was undertaken by the 'H' center. This paper focused on stress reduction and compared the differences in stress and brain waves before and after agarwood inhalation using an electric incense burner. Electroencephalography was measured by a 19 Channel, Brainmaster Discovery, and analyzed using a NeuroGuide, LORETA (Brain Mapping). The analysis of technical statistics was carried out using SPSS/WIN 21.0 and the Wilcoxon signed-rank test. The study observed that the stress response index was reduced by a significance level of 0.01 in patients with anxiety, depression, and somatization disorders after agarwood inhalation. Secondly, alpha waves were increased by a significance level of 0.05, in 18 out of 19 regions measured, except FP 1. The difference after agarwood inhalation was the most significant in the region that affects emotion. Thirdly, a LORETA analysis found that alpha waves were increased in the brain region (BA 40) predominantly responsible for memory and emotion. This result clarifies that agarwood inhalation using an electric incense burner reduced stress and had a positive effect on brain waves and hence, has potential as an alternative therapy.