• Journal of Veterinary Clinics
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• v.40 no.6
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• pp.464-467
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• 2023

The autonomic regulation of heart rate (HR) is an indicator of the body's ability to adapt to an exercise stimulus. However, there are no reports on this topic in relation to Jeju horses used for racing. The aim of this study was to analyze the HR responses of Jeju horses during race trials and to investigate the correlation between HR and performance in these horses. HR data were collected from 17 healthy 2- to 7-year-old Jeju horses wearing HR monitors during race trials. Pearson correlation coefficients was used to determine the significance of the association between the race trial time and HR. A significant inverse correlation was observed between the race trial time (performance) and both the maximal HR (HRmax, r = -0.69, p < 0.01) and HR reserve (HRR) (HRmax - average HR during the warm-up period, r = -0.63, p < 0.01) and between the HRR and HRmax (r = 0.73, p < 0.01). Horses with a lower average HR during the warm-up period and higher heart rates during the trial achieved faster race trial times. This study reports the first HR measurements in Jeju horses during race trials, providing new insights into the HR response of this breed to exercise. The use of a noninvasive remote HR monitor system allowed assessment of exercise responses in the field, and the results suggest that both the HRR during warm-up period and HRmax may be useful performance indicators in Jeju horses.

• IE interfaces
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• v.15 no.4
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• pp.349-355
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• 2002

In order to build a new factory, we must have answers regarding the following questions; 1. what is to be produced? 2. how are the products to be produced? 3. how much of each product will be produced? The answers are related to product-design, process-design and capacity-design respectively and they are used for layout-design as the input data. Especially capacity design decision provides the information regarding the number of equipments required and the balance of the line. This paper introduces a case study on the capacity design for a new factory where the retainers of ball bearing are manufactured. A simulation model is developed with ARENA for analyzing the system considered. The major objectives of the study are evaluating the performance of the line which is originally suggested by the company, and finding out alternatives for improving the system. Number of WIP between the processes are also investigated because it affects the space planning of the layout.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.2
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• pp.49-55
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• 2023

Objectives The purpose of this study is to analyze randomized controlled trials about neuromuscular electrical stimulation for muscle wasting with cancer patient and evaluate it's motor functionality effect. Methods Studies will be searched from 7 online databases (PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure [CNKI], Korean studies Information Service System [KISS], Research Information Sharing Service [RISS], Oriental Medicine Advanced Searching Integrated System [OASIS]). Participants will be cancer patients with muscle loss, regardless of cause, gender, race or age, interventions will be neuromuscular electrical stimulation. Other treatments than interventions will be the control group and the main outcome will be reviewed by motor functionality effect. Results Randomized controlled trials about neuromuscular electrical stimulation for muscle wasting should be included in the study. Primary outcomes include motor functionality effect. Secondary outcomes evaluate adverse event. The data uses Review Manager Software 5.4. Conclusions The conclusion of this study will provide a basis for determining whether neuromuscular electrical stimulation treatment for muscle wasting with cancer patient treatment is an effective and safe treatment method in clinical practice.

• IMMUNE NETWORK
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• v.21 no.1
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• pp.5.1-5.22
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• 2021

Coronavirus disease 2019 (COVID-19) has developed as a pandemic, and it created an outrageous effect on the current healthcare and economic system throughout the globe. To date, there is no appropriate therapeutics or vaccines against the disease. The entire human race is eagerly waiting for the development of new therapeutics or vaccines against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Efforts are being taken to develop vaccines at a rapid rate for fighting against the ongoing pandemic situation. Amongst the various vaccines under consideration, some are either in the preclinical stage or in the clinical stages of development (phase-I, -II, and -III). Even, phase-III trials are being conducted for some repurposed vaccines like Bacillus Calmette-Guérin, polio vaccine, and measles-mumps-rubella. We have highlighted the ongoing clinical trial landscape of the COVID-19 as well as repurposed vaccines. An insight into the current status of the available antigenic epitopes for SARS-CoV-2 and different types of vaccine platforms of COVID-19 vaccines has been discussed. These vaccines are highlighted throughout the world by different news agencies. Moreover, ongoing clinical trials for repurposed vaccines for COVID-19 and critical factors associated with the development of COVID-19 vaccines have also been described.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.33-38
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• 1999

Muscle based face image synthesis is one of the most realistic approach to realize life-like agent in computer. Facial muscle model is composed of facial tissue elements and muscles. In this model, forces are calculated effecting facial tissue element by contraction of each muscle strength, so the combination of each muscle parameter decide a specific facial expression. Now each muscle parameter is decided on trial and error procedure comparing the sample photograph and generated image using our Muscle-Editor to generate a specific race image. In this paper, we propose the strategy of automatic estimation of facial muscle parameters from 2D marker movement using neural network. This also 3D motion estimation from 2D point or flow information in captered image under restriction of physics based fare model.

• Journal of the Korean Society of Costume
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• v.22
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• pp.97-118
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• 1994

This stud is my second trial to examine the costume of Balhae Dyansty. The subject of this study is the costume of a bronze statue excavated in the Maritime Provinces of Russia. The bronze statue is in the custody of Vladivostok Museum E.V. Shavkunov a Russian archelogist reported it a statue of-ficial of balhae dynasty in the 7-8th century. Judged his report lack of basis I suggest new opinion on sex, age, married or unmarried. social position manufactured time of the statue by comparative study on the costume hair-style and appearance of the statue with around nations' antiquities. hair-style of the statue is basically included in Ssangge and complexed style of Sage Ssangsuhuange, and Guange, Generally, Ssangge is a hair style of children, unmarried women, court ladies, dancing girls, and instrument player (lady)s'. The statue wears round-necked blouse long skirt broad fabric belt at high waist broad sleeve and confront collar coat cloud shaped shawl and risen tip shoes. The figure of statue is de-scribed plump. The statue shows straight sil-houette and high waist typical style of Tang, Uddai, The most characteristic facto is cloud shaped shawl Cloud shaped shawl was originally one of the northern race's shoulder ornaments. From the view of Comparative study the antiquities of NamDang and JunChock are simi-lar to this statue. Besides Tsukanovka river where the statue was excavated is Kraskino ruins of a castle formed single cultural layer of Balhae Dynasty and are relics of the layer of Balhae Dynasty and are relics of the latter period of Balhae Dynasty. Therefore this statue is assumed to have been manufactured at the last years of Balhae Dynasty and to be a figure of unmarried woman not official.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.237-264
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• 2009

Many Korean companies wanted to improve technological competitiveness and business performance radically through technology leadership initiatives. In-depth case studies about successful Korean technological innovation in the technology generation stage have potential to minimize Korea and developing country firms' trial and error when they are pursuing new technological innovation in the technology generation stage. There are few studies about developing country firms' technological innovations in the technology generation stage and especially process innovation studies are far less performed compared to product innovation studies. This is an exploratory study of POSCO's FINEX process technology innovation in the technology generation stage. These are my findings from this study. Firstly, leadership innovation in the technology generation stage is not a continuous development of catch-up innovation in the technology internalization stage and only top managements can initiate highly risky leadership innovation. Secondly, developing country firms which lacked in technological capability overcomes difficulties in the early stage through complementary technological collaboration with R&D first-movers. Thirdly, this company become a technology leader in spite of late entry in technology development race with developed country firms through rapid scale-ups.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.225-237
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• 2024

In the analysis of competing risks data, some of covariates may not be fully observed for some subjects. In such cases, excluding subjects with missing covariate values from the analysis may result in biased estimates and loss of efficiency. In this paper, we studied multiple imputation and the augmented inverse probability weighting method for regression parameter estimation in the cause-specific proportional hazards model with missing covariates. The performance of estimators obtained from multiple imputation and the augmented inverse probability weighting method is evaluated by simulation studies, which show that those methods perform well. Multiple imputation and the augmented inverse probability weighting method were applied to investigate significant risk factors for the risk of death from breast cancer and from other causes for breast cancer data with missing values for tumor size obtained from the Prostate, Lung, Colorectal, and Ovarian Cancer Screen Trial Study. Under the cause-specific proportional hazards model, the methods show that race, marital status, stage, grade, and tumor size are significant risk factors for breast cancer mortality, and stage has the greatest effect on increasing the risk of breast cancer death. Age at diagnosis and tumor size have significant effects on increasing the risk of other-cause death.