• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.07b
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• pp.1054-1057
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• 2003

We have studied $90^{\circ}$ twisted nematic (TN) mode driven by fringe electric field, where two polarizers are parallel each other such that the cell shows a black state before a voltage is applied. According to the studies by computer simulation for a LC with negative dielectric anisotropy, the LC twists perpendicular to the horizontal field direction of fringe electric field and the degree of tilt angle is very low, when a voltage is applied. Therefore, the new device exhibits wide viewing angle characteristic due to in-plane switching and high transmittance since the LC director aligns parallel to the polarizer axis.

• The Korean Journal of Physiology and Pharmacology
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• v.27 no.1
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• pp.95-103
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• 2023

Rosiglitazone is a thiazolidinedione-class antidiabetic drug that reduces blood glucose and glycated hemoglobin levels. We here investigated the interaction of rosiglitazone with Kv3.1 expressed in Chinese hamster ovary cells using the wholecell patch-clamp technique. Rosiglitazone rapidly and reversibly inhibited Kv3.1 currents in a concentration-dependent manner (IC₅₀ = 29.8 µM) and accelerated the decay of Kv3.1 currents without modifying the activation kinetics. The rosiglitazonemediated inhibition of Kv3.1 channels increased steeply in a sigmoidal pattern over the voltage range of -20 to +30 mV, whereas it was voltage-independent in the voltage range above +30 mV, where the channels were fully activated. The deactivation of Kv3.1 current, measured along with tail currents, was also slowed by the drug. In addition, the steady-state inactivation curve of Kv3.1 by rosiglitazone shifts to a negative potential without significant change in the slope value. All the results with the use dependence of the rosiglitazone-mediated blockade suggest that rosiglitazone acts on Kv3.1 channels as an open channel blocker.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.07b
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• pp.1050-1053
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• 2003

Polymer dispersed liquid crystal mode can be classified into two cases, normally scattering mode (NS) and normally transparent (NT) mode according to an initial state. Electro-optic characteristic NS/NT PDLC mode can be improved by controlling the factors to influence the phase separation. In case of NS PDLC mode, we inspected change of a phase separation as a function of curing temperature for the mixture of E7 and NOA65 with different ratios. When the LC concentration is less than polymer such as LC : NOA65 = 40 : 60wt%, the PDLC cell is influenced strongly by the curing temperature. However, when LC concentration is much less than polymer such as LC : NOA65 : 80 : 20wt%, it is influenced slightly by the curing temperature. In case of NT PDLC mode, we observed change of a phase separation as a function of the ratio of the mixture and UV conditions such as curing temperature, UV intensity The cell made with strong UV intensity and curing temperature of $20^{\circ}C$, in case that the ratio of LC to polymer is 70:30wt%, showed good electro-optic characteristics.

• Annals of Clinical Neurophysiology
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• v.4 no.2
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• pp.133-136
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• 2002

Dyskinesia can occur as a neurological abnormality due to stroke, and its incidence in stroke patients is reported to be about 1%. It is possible to classify dyskinesia into one of the morphologic types already classified clinically. However, a specific type of dyskinesia can occur; one which does not fall into the existing morphologic types. We experienced such a case of specific type dyskinesia, which couldn't be classified into the existing classification system. A 50-year-old man visited our hospital due to rhythmic dyskinesia of the right hand, which appeared during the resting state, and had developed one month after left subcortical infarction. Flexion and extension movements of the fingers at 3Hz appeared due to the impatient impulse to move. However, this abnormal movement could be easily suppressed under the patients will. We suggested that the abnormal movement was similar to akathisia from the fact that it occurred due to the internal desire to move and that the patient could suppress dyskinesia. However, the rhythmic tendency and lack of medication history of antipsychotics suggested that the movement was not the typical form of akathisia. The present case may represent a new clinical type of movement disorder developed after stroke. Considering the clinical pattern of the present case and following a review of the literature, we believe that it can be labeled, post-stroke rhythmic akathisia.

• Korean Chemical Engineering Research
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• v.58 no.4
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• pp.651-657
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• 2020

Fluidization processes in which solid particles vividly move like gas or liquid have been widely used in various industrial sectors, such as thermochemical energy conversion and polymerization processes for general purpose polymer resins. One of the general purpose polymer resins, LLDPE(Linear low-density polyethylene) resins have been produced in bubbling fluidized bed processes in the world. In a bubbling fluidization polymerization reactors, LLDPE particles with relatively larger particle size and low density are fluidized by hydrogen gas for polymerization reaction. Though LLDPE polymerization reactors are one of bubbling fluidization processes, slugs that have negative impact for reaction exist or occur in these processes. Therefore, the fluidization state of LLDPE particles was investigated in a simulation model similar to a pilot-scale polymerization reactor (0.38 m l.D., 4.4 m High). In particular, the effect of gas velocity (0.45-1.2 m/s), solid density (900-199 kg/㎥), solid sphericity (0.5-1.0), and average particle size (120-1230 ㎛), on bed height and fluidization state were measured by using a CPFD(Computational particle-fluid dynamics) method. With CPFD analysis, the occurrence of a flat slug was visualized. Also, the change in particle properties, such as particle density, sphericity, and size, could reduce the occurrence of slug and bed expansion.

• Research in Community and Public Health Nursing
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• v.19 no.3
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• pp.506-520
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• 2008

Purpose: The purpose of this study was to investigate factors influencing college students' health promotion lifestyle. Methods: The subject was 606 students. Statistical analysis with SPSS used descriptive statistics, t-test, one way ANOVA, Pearson correlation and Stepwise Multiple Regression. Results: The average item score for health promotion lifestyle was 2.58. The subscale showing the highest score was interpersonal relationship (3.03), which was followed by spiritual growth (2.94). stress management (2.54), nutrition (2.52), physical activity (2.16) and health responsibility (2.15). There were significant differences according to age, gender, BMI, perceived health state, religion, economic state, live together, major and health promotion lifestyle. The most powerful Predictors of health promotion lifestyle were the prior related behavior (51.8%) and self-efficacy (7.7%). The combination of prior related behavior, perceived self-efficacy, activity-related affect, social support, perceived stress, commitment to a plan of action accounted for 67.9% of the variance of health promotion lifestyle. Conclusion: Prior related behavior was the most powerful variable of health promotion lifestyle. Therefore, health promotion programs for changing and maintaining prior related behavior and increasing self-efficacy should be developed to promote a healthy lifestyle in college students.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.513-522
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• 2021

The current research aims to explore which type of identity-based message can be more persuasive for Chinese consumers to form positive restaurant brand attitude based on their cultural orientation, and to examine the roles of brand objective relevance and psychological power state in the persuasive process. The study employs a 2(identity expression focus: warmth vs. competence) × 2(message description manner: identity-defining vs. identity-referencing) × 2(experienced power state: high vs. low) between-subjects design, and conducts an online survey where 240 Chinese participants in total has responded to the questionnaires. SPSS and AMOS programs have been used to examine the hypotheses. The findings suggest that, first, the warmth-focused messages (identity-defining messages) more positively affected Chinese consumers' object relevance than the competence-focused messages (identity-referencing messages); Second, high power-experienced Chinese consumers rather than low power consumers tend to perceive more object relevance at the warmth self-defining messages; Third, brand object relevance revealed a mediation effect in the process of the warmth-focused messages (identity-defining messages) affecting brand attitude. This research offers new insight into the relationships between consumers' cultural orientation, understandings of power, and identity-based consumer behavior, suggesting marketers should take those social influences and consumer diversities into account when developing the message to persuade consumers.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1621-1633
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• 2022

The present study aims to design an application for anger control training of individuals and test its practical usability with the goal of encouraging preventive training in daily life. This study also investigates, through usability evaluation, whether users can use the application to carry out the actual anger management training program, whether it is useful and convenient, and whether it produces adequate learning effects. In order to conduct usability evaluation, a usability evaluation scale comprised of six factors-utility, reuse intention, learning, error, and reflectivity-was derived, and survey items tailored to each factor were produced. The association between usability evaluation elements, user demographic parameters, mobile usage behavior, and state anger was also examined. The result demonstrated that additional menus and features are necessary to increase the usability of the application for anger management. The result also revealed that it is vital to build an intuitive application interface that users unfamiliar with mobile app functionality can easily navigate, as well as to add entertaining components in the content, as users may be somewhat bored. On the basis of the findings, ideas of modifying and creating anger management training programs were discussed.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.4
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• pp.209-215
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• 2022

This paper proposes a novel approach for training an unsupervised depth estimation algorithm. The objective of unsupervised depth estimation is to estimate pixel-wise distances from camera without external supervision. While most previous works focus on model architectures, loss functions, and masking methods for considering dynamic objects, this paper focuses on the training framework to effectively use depth cue. The main loss function of unsupervised depth estimation algorithms is known as the photometric error. In this paper, we claim that direct depth cue is more effective than the photometric error. To obtain the direct depth cue, we adopt the technique of knowledge distillation which is a teacher-student learning framework. We train a teacher network based on a previous unsupervised method, and its depth predictions are utilized as pseudo labels. The pseudo labels are employed to train a student network. In experiments, our proposed algorithm shows a comparable performance with the state-of-the-art algorithm, and we demonstrate that our teacher-student framework is effective in the problem of unsupervised depth estimation.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.647-650
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• 2021

The most powerful and modern face recognition techniques are using deep learning methods that have provided impressive performance. The outbreak of COVID-19 pneumonia has spread worldwide, and people have begun to wear a face mask to prevent the spread of the virus, which has led existing face recognition methods to fail to identify people. Mainly, it pushes masked face recognition has become one of the most challenging problems in the face recognition domain. However, deep learning methods require numerous data samples, and it is challenging to find benchmarks of masked face datasets available to the public. In this work, we develop a new simulated masked face dataset that we can use for masked face recognition tasks. To evaluate the usability of the proposed dataset, we also retrained the dataset with ArcFace based system, which is one the most popular state-of-the-art face recognition methods.