• Journal of Korean Physical Therapy Science
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• v.30 no.1
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• pp.10-22
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• 2023

Background: The purpose of this study was to investigate the effect of brain education-based exercise and KPEM manual therapy integrated program on the sleep and quality of life of cancer patients. Design: Seventy subjects who were diagnosed with cancer and were undergoing treatment volunteered to participate in this study. All subjects used a nonequivalent control group pretest-posttest design for either the experimental group or the control group. In the final analysis, there were 25 subjects in the experimental group and 18 subjects in the control group. Methods: For 12 weeks, the experimental group performed brain education-based exercise (20 minutes) and KPEM manual therapy (50 minutes), and the control group performed basic physical therapy and autonomous exercise. For evaluation, the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K) and the quality of life index were measured after intervention using the European Organization for Research and Treatment of Cancer (EORTC-3.0Ver). Effect between groups, time effect over time, and group^*time interaction were analyzed through a pre-test before and after the 12-week intervention period, and repeated measure ANOVA after 12 weeks of the integrated program intervention. All statistical significance levels were set at α=.05. Results: The PSQI in the time effect (p=.001) and the group^*time interaction (p<.001) were statistically significant. In terms of EORTC, QL2 and PF2 were significant in time effect (p=.024; p=.021) and group^*time interaction (p=.007; p=.021), whereas in RF2, significance was only found in group^*time interaction (p=.028). In symptom indicators, time effect was the only significant factor in FA, SL, AP, and CO, respectively (p=.002; p=.028; p=.041; p =.005) and in DY, there were significant differences in the time effect (p=.016) and group^*time interaction (p=.002). Conclusion: The brain education-based exercise and KPEM manual therapy integrated program effectively improves the sleep and quality of life of cancer patients. It is considered that this exercise and therapy can be actively used as a psychological, emotional, and physically complementary physical therapy intervention to improve the quality of life of cancer patients.

• Asia Marketing Journal
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• v.20 no.2
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• pp.29-40
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• 2018

Recent research reported that perception of future time is non-linearly scaled. That is, as objective time gets longer, subjective perception of the objective time does not grow proportionally. The non-linear time perception implies that the same future time feels shorter when it starts in the future than when it starts immediately. The authors call this as a future contraction effect. The current research tests two important implications of the effect regarding consumers' intertemporal preference for durable goods. First, consumers who contract future more will be more impatient for durable goods compared to those who contract less because the former would feel to use the same durable goods longer when it is purchased immediately. Second, consumers' impatience will be alleviated when their tendency to contract future is reduced. The authors find support for these predictions through two studies. Taken together, the current research demonstrates a property of time perception that has important ramifications for understanding consumers' intertemporal preference for durable goods.

• Nuclear Engineering and Technology
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• v.50 no.4
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• pp.553-561
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• 2018

To easily understand and systematically express the behaviors of the industrial systems, various system modeling techniques have been developed. Particularly, the importance of system modeling has been greatly emphasized in recent years since modern industrial systems have become larger and more complex. Multilevel flow modeling (MFM) is one of the qualitative modeling techniques, applied for the representation and reasoning of target system characteristics and phenomena. MFM can be applied to industrial systems without additional domain-specific assumptions or detailed knowledge, and qualitative reasoning regarding event causes and consequences can be conducted with high speed and fidelity. However, current MFM techniques have a limitation, i.e., the dynamic features of a target system are not considered because time-related concepts are not involved. The applicability of MFM has been restricted since time-related information is essential for the modeling of dynamic systems. Specifically, the results from the reasoning processes include relatively less information because they did not utilize time-related data. In this article, the concepts of time-to-detect and time-to-effect were adopted from the system failure model to incorporate time-related issues into MFM, and a methodology for enhancing MFM-based reasoning with time-series data was suggested.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.175-182
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• 2019

This study aims to identify causal variables by examining the mutual influences of community consciousness and life satisfaction. We used some data of KCYPS. A longitudinal study of 1952 adolescents selected as a sample was conducted using the Aautoregressive crossover delay model. The results of this study are as follows: First, it showed that life satisfaction is consistently affecting the later life satisfaction with the passage of time. Second, community consciousness showed that the previous community consciousness has a constant influence on the subsequent community consciousness as time passes. Third, the effect of previous life satisfaction on community consciousness was significant. Therefore, the cross-delay effect of life satisfaction on community awareness was stable with time. In other words, life satisfaction level was a causal variable that takes precedence over community consciousness, and the higher the life satisfaction of the previous time, the higher the level of community consciousness in the future. Fourth, the cross-delay effect of community consciousness on life satisfaction was not significant because community consciousness at previous time had no meaningful effect on life satisfaction at later time, so consciousness of community at previous time affects life satisfaction. This study provided some implications basing on this results.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.205-222
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• 2009

Considering time-lag in the performance evaluation of information system (IS) investment is important because its effect reveals after certain period of time passed. Particularly it is more in the systems of e-government informatization projects which the amount of investment and the scale of business are huge. Many methods to solve this issue have been proposed such as system dynamics methods, simulations, structural equations etc. However, it is still difficult and unsolved problem because collecting practical data for time-lag analysis is very hard. In this paper, we analyze IS time-lag effect through factor analysis using the accumulated practical operational DB data. For the performance evaluation of the G4C system, the representative e-government web portal, we selected eleven factors reflecting time passing in G4C DB data. With these factors this paper conduct time-lag analysis in four view points. First, we conducted 'Stabilizing of G4C system' and got a result that IS is needed about three years for the stabilization. Second, we conducted 'Utilization of G4C system' and got a result that the utilization reaches appropriate level after in three years later after the introduction of G4C system. Third, we conducted 'Cost reduction effect' and got a result that cost reduction is stable in the third year after the introduction of G4C system. Lastly, we conducted 'System maturity effect' and got a result that the system reaches to the quality level that users expect after third to fourth years. According to the results of this research, we found that performance of IS improv continuously not immediately, and it needs three or four years of time-lag.

• Journal of Preventive Medicine and Public Health
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• v.54 no.2
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• pp.110-118
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• 2021

Objectives: A growing number of people depend on flexible employment, characterized by outsider employment status and perceived job insecurity. This study investigated whether there was a synergistic effect of employment status (full-time vs. part-time) and perceived job insecurity on major depressive disorder. Methods: Data were derived from the 2012 Canadian Community Health Survey-Mental Health of 12 640 of Canada's labor force population, aged 20 to 74. By combining employment status with perceived job insecurity, we formed four employment categories: full-time secure, full-time insecure, part-time secure, and part-time insecure. Results: Results showed no synergistic health effect between employment status and perceived job insecurity. Regardless of employment status (full-time vs. part-time), insecure employment was significantly associated with a high risk of major depressive disorder. Analysis of the interaction between gender and four flexible employment status showed a gender-contingent effect on this link in only full-time insecure category. Men workers with full-time insecure jobs were more likely to experience major depressive disorders than their women counterparts. Conclusions: This study's findings imply that perceived job insecurity may be a critical factor for developing major depressive disorder, in both men and women workers.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1367-1375
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• 2015

Consider the linear growth models for longitudinal data analysis. Several kind of linear growth models are selected such as time-effect and random-effect models as well as a dummy variable included model. In this work, simulation data are generated with normality assumption, and both binormal ROC curve and AUC are obtained and compared for various linear growth models. It is found that ROC curves have different shapes and AUC increase slowly, as values of the covariance increase and the time passes for random-effect models. On the other hand, AUC increases very fast as values of covariance decrease. When the covariance has positive value, we explored that the variances of random-effect models increase and the increment of AUC is smaller than that of AUC for time-effect models. And the increment of AUC for time-effect models is larger than the increment for random-effect models.

• The Korean Journal of Pesticide Science
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• v.12 no.4
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• pp.397-402
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• 2008

This study was performed to investigate the correlation between changes of feeding behavior of Bemisia tabaci and residual effect of two insecticides, emamectin benzoate and pyridaben, using EPG technique. Waveforms such as non-probe time and total duration of phloem phase of B. tabaci were recorded during three hours using EPG. Relationship between non-probe time and the change of residual effect of two insecticides correlated with more pyridaben than emamectin benzoate. In the relationship between phloem phase time and those of residual effect, emamectin benzoate was more correlated than pyridaben. These results show that the change of feeding behavior of B. tabaci is correlated with the change of residual effect of two insecticides.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.4
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• pp.37-50
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• 2012

The existing DEA models have been devoted to evaluate relative efficiency of DMUs based on multiple input and output factors of a same period. However, a certain kind of lead time can be required to produce outputs using inputs in an organization. R&D evaluation is a typical area with this kinds of time lag. Thus, the purpose of this paper is to develop a new DEA model to deal with time lag effect in performance evaluation. The proposed model is to find relative efficiency of each DMU for each period considering the time lag effect. A case example using a real data set is also given to show the usage or implication of the suggested model. The results are compared with the ones of the CCR model and the multi-periods input model.

• Nuclear Engineering and Technology
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• v.33 no.2
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• pp.166-174
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• 2001

An apparatus for detecting remote real-time uranium concentration using an optrode was developed. An optrode to detect uranium fluorescence as remote real-time control was designed. Fluorescence intensity at time 2ero was derived by the fluorescence signal processing and the algorithm to exclude the quenching effect of various quenchers and temperature fluctuations. This apparatus employing the above deriving method and the optrode has an error range within 6% in spite of serious fluorescence lifetime changes due to the quenching effect and temperature fluctuations. The detection limit is 0.06 ppm and the linearity is excellent between 0.06 ppm and 2 ppm on the aqueous uranium solution.