• Cartoon and Animation Studies
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• s.26
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• pp.31-56
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• 2012

This is a scientific study of subjectivity on recognition types and preferences of animation audience. Therefore, Q-methodology was used as a methodology of this study. As a result, it was possible to find the various characteristics according to the preferences of audience on animation genres. The features of each type were classified into 3 types. First was an artistic and literary value-oriented type that explored storytelling and descriptive value. Second was a pictorial and aesthetic value-oriented type that explored visual beauty such as characters and Mise en scene. Third was a visual and entertainment value-oriented type that explored entertainment factors and attractions. Thus, according to the classification of preference types, it was inferred that digital image generation audience with an active preference that can create and consume images have developed a tendency that independently consumed their preferences based on thoroughly personal or subjective preferences rather than classified and accepted their preferred culture as their symbolic expressions of hierarchical position. In this aspect, Q-methodological consideration that is useful to analyze the subjectivity of audience could be a significant work. Nevertheless, this study alone could not reveal various generative contexts of specific preferences. It seems to have more significant results by applying various qualitative or quantitative methodologies together with this study and analyzing recognition types and preferences of audience.

• Bulletin of the Korean Mathematical Society
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• v.46 no.6
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• pp.1159-1173
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• 2009

This paper deals with the critical blow-up and extinction exponents for the non-Newton polytropic filtration equation. We reveals a fact that the equation admits two critical exponents $q_1,\;q_2\;{\in}\;(0,+{\infty})$) with $q_1\;{<}\;q_2$. In other words, when q belongs to different intervals (0, $q_1),\;(q_1,\;q_2),\;(q_2,+{\infty}$), the solution possesses complete different properties. More precisely speaking, as far as the blow-up exponent is concerned, the global existence case consists of the interval (0, $q_2$]. However, when q ${\in}\;(q_2,+{\infty}$), there exist both global solutions and blow-up solutions. As for the extinction exponent, the extinction case happens to the interval ($q_1,+{\infty}$), while for q ${\in}\;(0,\;q_1$), there exists a non-extinction bounded solution for any nonnegative initial datum. Moreover, when the critical case q = $q_1$ is concerned, the other parameter ${\lambda}$ will play an important role. In other words, when $\lambda$ belongs to different interval (0, ${\lambda}_1$) or (${\lambda}_1$,+${\infty}$), where ${\lambda}_1$ is the first eigenvalue of p-Laplacian equation with zero boundary value condition, the solution has completely different properties.

• Geomechanics and Engineering
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• v.29 no.5
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• pp.487-496
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• 2022

Most of the pile's vertical static load tests in construction sites are the proof load tests, which is difficult to accurately estimate the ultimate bearing capacity and analyze the reliability of piles. Therefore, a reliability analysis method based on the proof load-settlement (Q-s) data is proposed in this study. In this proposed method, a simple ultimate limit state function based on the hyperbolic model is established, where the random variables of reliability analysis include the model factor of the ultimate bearing capacity and the fitting parameters of the hyperbolic model. The model factor M = R_uR / R_uP is calculated based on the available destructive Q-s data, where the real value of the ultimate bearing capacity (R_uR) is obtained by the complete destructive Q-s data; the predicted value of the ultimate bearing capacity (R_uP) is obtained by the proof Q-s data, a part of the available destructive Q-s data, that before the predetermined load determined by the pile test report. The results demonstrate that the proposed method can easy and effectively perform the reliability analysis based on the proof Q-s data.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.163-174
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• 2023

This study aims to investigate the effect of the composition of the board and ownership structure on a firm's value in Jordanian firms. Specifically, it aims to determine the effect of board size, (CEO) duality, and family, foreign, institutional, and government ownership on a firm's value. An ordinary least square regression (OLS) was employed to examine the study hypotheses in a sample of 35 Jordanian industrial firms (175 firm-year observation) for a period of five years from 2016-2020. As measured by Tobin's Q (Q ratio) and market-to-book (MB ratio) for Jordanian industrial firms listed on Amman Stock Exchange (ASE). The result found that foreign ownership, institutional ownership, and family ownership have a significant and positive effect on firm value. By contrast, government ownership does not have a significant effect on firm value. With respect to board composition (CEO duality and board size), the study results found no evidence to support the effect of board composition on firm value. The study recommended the concerned authorities with several recommendations, most notably: taking the necessary measures to ensure the continuity and growth of family businesses because of their positive impact on the value of the company and economic growth, spreading awareness about how governance protects the interests of investors.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.269-276
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• 2021

Recently, smart sensors are used in various environments, and the implementation of ad-hoc sensor networks (ASNs) is a hot research topic. Unfortunately, traditional sensor network routing algorithms focus on specific control issues, and they can't be directly applied to the ASN operation. In this paper, we propose a new routing protocol by using the Q-learning technology, Main challenge of proposed approach is to extend the life of ASNs through efficient energy allocation while obtaining the balanced system performance. The proposed method enhances the Q-learning effect by considering various environmental factors. When a transmission fails, node penalty is accumulated to increase the successful communication probability. Especially, each node stores the Q value of the adjacent node in its own Q table. Every time a data transfer is executed, the Q values are updated and accumulated to learn to select the optimal routing route. Simulation results confirm that the proposed method can choose an energy-efficient routing path, and gets an excellent network performance compared with the existing ASN routing protocols.

• Korean Journal of Food Science and Technology
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• v.26 no.3
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• pp.331-335
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• 1994

The shelf-life of instant noodle stored at $35{\sim}65^{\circ}C$ under dark condition was estimated from the change of hexanal content, which was linearly increased as the storage time increased. The rate constants of hexanal production at various storage temperatures followed Arrhenius relationship. The activation energy and $Q_{10}$ calculated were 12.7 kcal/mole and 1.92, respectively. The rancid flavor was organoleptically detected after 6 days at $65^{\circ}C$ and 13 days $50^{\circ}C$, at which the content of hexanal was 3.5 ppm. The shelf-life of instant noddle at $21^{\circ}C$ based on $Q_{10}$ value of hexanal production was about 110 days. The changes of acid value and peroxide value of instant noodle during storage followed similar pattern to those of hexanal. The activation energy and $Q_{10}$ for both acid value and peroxide value were 16.0 kcal/mole and 2.55, respectively. The hexanal content showed a high positive correlation with acid value as well as peroxide value at all storage temperatures.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.1
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• pp.22-29
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• 2016

Serum gamma-glutamyltransferase (GGT) has been widely used as a marker of alcohol intake and liver failure. Recently, the relativity between GGT and various diseases has been identified with growing interest. In this study, we examined relativity between GGT value and risk factors of coronary heart diseases among those with normal GGT value, excluding heavy drinkers. Specifically, we compared the differences based on age and gender. Data from the 2011 KNHNES were used (N=3,619). When the subjects were categorized according to quartile based on the serum GGT levels, there was 10~20, 21~27, 28~38, 39~71 IU/L in men, and 6~12, 13~16, 17~22, 23~42 IU/L in women. The mean of most variables was the highest in the $4^{th}$ quartile (Q4), however age and LDL Cholesterol were the highest in the $2^{nd}$ quartile (Q2) in men. The FRS and 10-year CHD risk was the highest in the $2^{nd}$ quartile in men, and the highest in the $4^{th}$ quartile in women. Increased GGT was correspondingly linked with age in women but age was the highest in GGT in the $2^{nd}$ quartile in men. In the 70's, the highest Q1 and Q2 was in men and the highest Q3 and Q4 in women. Although GGT value was within the normal range, increased GGT showed correlation with various risk factors. The FRS and 10-year CHD risk showed different patterns according to age and gender along with increased GGT value.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.4
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• pp.33-49
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• 2014

This study empirically examines the impact of firms' environmental (E), social (S), and governancial (G) factors on their short-term and long-term values. To measure firms' non-financial performance, we use ESG performance grades published by KCGS (Korea Corporate Governance Service). We employ stock log return as the proxy of each firm's short-term value, and Tobin's Q ratio as that of its long-term value. From a series of regression analyses, we find each of the ESG factors generally has a negative impact on stock return while it has a positive impact on the Tobin's Q ratio. These results imply that firms' effort for enhancing their non-financial performance may adversely affect their financial performance in a short term; but in the long-term point of view, firms' values increase through their good images engraved by their respective social, environmental and governancial efforts. In addition, we compare the relative strength of impact among E, S, G, the three non-financial factors on the firms' value measured in Tobin's Q ratio, and find that S (social factor) and G (governancial factor) give statistically significant impact on the firms' value respectively. This result tells us it would be advised to strategically embed CSV (creating shared value) pursuing both of profits and social responsibility in the firms' future agenda. While E (environmental factor) is shown to be an insignificant factor for the firms' value, it should be emphasized as a major concern by all the stakeholders in order to form a sound business ecosystem.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.3
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• pp.239-248
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• 2020

Exact rock classification helps suitable support patterns to be installed. Face mapping is usually conducted to classify the rock mass using RMR (Rock Mass Ration) or Q values. There have been several attempts to predict the grade of rock mass using mechanical data of jumbo drills or probe drills and photographs of excavation surfaces by using deep learning. However, they took long time, or had a limitation that it is impossible to grasp the rock grade in ahead of the tunnel surface. In this study, a method to predict the Q value ahead of excavation surface is developed using recurrent neural network (RNN) technique and it is compared with the Q values from face mapping for verification. Among Q values from over 4,600 tunnel faces, 70% of data was used for learning, and the rests were used for verification. Repeated learnings were performed in different number of learning and number of previous excavation surfaces utilized for learning. The coincidence between the predicted and actual Q values was compared with the root mean square error (RMSE). RMSE value from 600 times repeated learning with 2 prior excavation faces gives a lowest values. The results from this study can vary with the input data sets, the results can help to understand how the past ground conditions affect the future ground conditions and to predict the Q value ahead of the tunnel excavation face.

• Journal of Nutrition and Health
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• v.24 no.3
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• pp.166-178
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• 1991

This present study was designed to evaluate whether supplementaion of dietary coenzyme $Q_{10}$ protects the lipid peroxidation damage in adriamycin (ADR)-treated rats. Two experiments were conducted in this study. Experiment I was undertaken under the condition of simultaneous administration of ADR and coenzyme $Q_{10}$ for 4 weeks. Experiment 2 was undertaken under the same condition as experiment I after feeding the experimetal diets alone without administration of ADR for 4 weeks. Results obtained from the present study were as follows. Lipid peroxide value of plasma and heart mitochondria was elevated by ADR treatment. but decreased according to dietary coenzyme $Q_{10}$ supplementation. Pretreatment with dietary coenzyme $Q_{10}$ was more efficient in reducing ADR-induced lipid peroxide value. The simultaneous use of ADR and coenzyme $Q_{10}$ enhanced the heart glutathione peroxidase (GSH-Px) activity. particularly at higher level of coenzyme $Q_{10.}$ The change of superoxide dismutase(SOD) activity was similar to that of GSH-Px activity. In case of pretreatment with coenzyme $Q_{10, }$ these enzyme activities were more enhanced by dietary coenzyme $Q_{10.}$ However, there was little difference in catalase activity.