• Journal of Oral Medicine and Pain
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• v.20 no.2
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• pp.307-315
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• 1995

The purpose of this study was to assess the efficacy of several thermal therapies using ice pack, moist-hot pack and ultrasound, separately and concomitantly and to obtain the background information on the vascular changes after thermophysical therapies. The author had used 15 healthy subjects were examined and the subjects were divide into 5 groups : ice pack, moist-hot pack, ultrasound, ice pack and moist-hot pack, ice pack and ultrasound. Observation were made immediate before and 0,5,10,20,30,45,60,90 minutes after treatment. Thermography was performed in an Agema 870 thermovisio with 0.1$^{\circ}C$ difference of gradual temperature shift. The results were as follows : 1. Using ice pack only, the surface temperature of the masseter region was increased lapse of time, and most remarkably 90 minutes after the treatment. 2. Using moist-hot pack only, the surface temperature of the region was remarkably increased immediately after the treatment, but decreased lapse of time. 3. Using moist-hot pack with ice pack, the surface temperature of the face was remarkably increased immediately after the treatment, and decreased lapse of time, Hyperthermia was maintained for a longer time as compared with the group of moist-hot pack only. 4. Using ultrasound only, the surface temperature of the region was increased gradually, and most remarkably 30 minutes after the treatment, but decreased in the course of time. 5. Using ultrasound combined with ice pack, the surface temperature of the region was gradually decreased until 30 minutes after the treatment, and decrease to some extend at 45 minute. And then a gradual increase observed over the remaining period of the experiment. 6. Hyperthermia were maintained for a long time in the groups using ice pack combined with moist-hot pack and ultrasound as compared with the other groups. Our data suggest that ice pack can promote the efficacy of other thermal therapies.

• Food Quality and Culture
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• v.2 no.1
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• pp.55-60
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• 2008

This study examined the effects of lactic acid spray, hot water spray, or their combined treatment, as well as the effects of acidified sodium chlorite (ASC), for the decontamination of Escherichia coli on beef carcass surfaces using a commercial intervention system. With this system, the effects of 2 or 4% lactic acid (v/v), hot water ($89{\pm}1^{\circ}C$), or their combined treatment, were examined in terms of reducing inoculated E. coli. ASC (266 ppm), which was adjusted to pH 2.5 using acetic acid or citric acid, was applied using a hand-held spray system. When the beef carcasses were treated with 2 or 4% lactic acid for 10.4 s, less than 1 log reductions of inoculated E. coli were observed. A hot water spray treatment for 9.8 s resulted in a 2.1 log reduction of inoculated E. coli. However, when the hot water was followed with either 2 or 4% lactic acid, no difference in E. coli reduction was found between the hot water alone or the combined treatment with lactic acid. When ASC was adjusted to pH 2.5 with acetic acid and citric acid, 3.8 and 4.1 log reductions of E. coli were observed, respectively. Overall, the lactic acid spray treatment was least effective, and the ASC treatment was most effective, for the E. coli decontamination of beef carcasses. Therefore, these data suggest that ASC would be a more effective intervention against E. coli than most of the methods currently being used. However, more research is required to evaluate the effects of ASC on other organisms, as well as to identify application methods that will not affect meat quality.

• Fashion & Textile Research Journal
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• v.21 no.2
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• pp.151-162
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• 2019

This study identifies influential factors in regards to the purchase of celebrity fashion hot items and compares these factors in the age groups of teens and twenties. This study surveyed male and female consumers aged 10-20 years old for empirical analysis in July 2018. The study surveyed 322 consumers selected through online convenience sampling. Data were analyzed using SPSS for Windows 19.0, descriptive statistics, reliability analysis, ${\chi}^2$ analysis, regression analysis, ANOVA analysis, Duncan test, and t-test. The results were as follows. First, 87.6% of consumer have purchased celebrity fashion hot items more than once. In particular, female consumers in their 20s with a high fashion product expenditure tend to purchase more celebrity fashion hot items. Clothes and shoes were purchased more by 10-year-old males, shoes for males in their 20s, accessories for 10-year-old females female, and bags and accessories for female in their 20s. Second, there were no significant differences for those aged 10-20 years old in purchase satisfaction for celebrity fashion hot items according to age, gender, income, and fashion product expenditure. Consumers' awareness on corporate marketing intention to celebrity fashion hot items was higher among women in their 20s than men in their teens and twenties; in addition, the expenditure on fashion products also increased. Third, factors affecting the purchase of celebrity fashion hot items among teens and twenties were different according to age and gender. A higher need for identification for teenage male resulted in: lower media dependency, higher product involvement, fashion conformity, fashion innovativeness for 20s males, higher product involvement for 10s and 20s females, increased intention to purchase tended. This study provides consumer information and fashion item information that can be utilized in advertisement and promotion strategies for fashion companies that seek to perform celebrity marketing strategies that target consumers aged 10-20 years old.

• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.41-48
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• 2019

In recent years, sentiment analysis research has become popular. The research results of sentiment analysis have achieved remarkable results in practical applications, such as in Amazon's book recommendation system and the North American movie box office evaluation system. Analyzing big data based on user preferences and evaluations and recommending hot-selling books and hot-rated movies to users in a targeted manner greatly improve book sales and attendance rate in movies [1, 2]. However, traditional machine learning-based sentiment analysis methods such as the Classification and Regression Tree (CART), Support Vector Machine (SVM), and k-nearest neighbor classification (kNN) had performed poorly in accuracy. In this paper, an improved kNN classification method is proposed. Through the improved method and normalizing of data, the purpose of improving accuracy is achieved. Subsequently, the three classification algorithms and the improved algorithm were compared based on experimental data. Experiments show that the improved method performs best in the kNN classification method, with an accuracy rate of 11.5% and a precision rate of 20.3%.

• KAPE Magazine
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• s.244
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• pp.4-6
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• 2016

• Journal of the Korean Statistical Society
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• v.29 no.4
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• pp.385-394
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• 2000

Jackknife variance estimation based on adjusted imputed values when nonresponse is nonrandom and follow-up data are available for a subsample of nonrespondents is provided. Both hot-deck and ratio imputation method are considered as imputation method. The performance of the proposed variance estimator under nonrandom response mechanism is investigated through numerical simulation.

• Journal of the Korean Statistical Society
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• v.36 no.3
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• pp.423-434
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• 2007

Imputation using a regression model is a method to preserve the correlation among variables and to provide imputed point estimators. We discuss the implementation of regression imputation using fractional imputation. By a suitable choice of fractional weights, the fractional regression imputation can take the form of hot deck fractional imputation, thus no artificial values are constructed after the imputation. A variance estimator, which extends the method of Kim and Fuller (2004), is also proposed. Results from a limited simulation study are presented.

• Bulletin of the Korean Chemical Society
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• v.21 no.5
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• pp.493-496
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• 2000

By use of the rotational distribution expression previously derived based on the collisional time correlation function formalism, the rotational distributions of $CO_2$ vibrational ground state (00°0) after collisions with hot H, D, or Cl atom have been constructed. Energy and rotational quantum number parameters which can characterize the rotational distributions are also calculated and compared with those deduced from the experimental distribution. The results from this work would be very useful in predicting the rotational distributions in the lower J region for which experimental data are not available due to the interference from the ambient $CO_2$.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.2
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• pp.52.1-52.1
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• 2015

FIMS/SPEAR is a dual-channel far-ultraviolet imaging spectrograph on board the Korean microsatellite STSAT-1, which was launched on 2003 September 27. The primary mission goal of FIMS was to conduct a survey of diffuse far UV emissions in our Galaxy. For this purpose, FIMS completed a survey of about 84% of the sky during its operation of a year and a half. The present study aims to analyze this survey data made in the far UV wavelengths to understand the global evolution of our Galaxy. The far UV wavelength band is known to contain important cooling lines of hot gas: hence, the study will show how the hot gas in our Galaxy, produced by stellar winds and supernova explosion, evolves globally to cool down and become mixed with ambient cooler medium. One of the main findings from previous analyses of the FIMS data is that molecular hydrogen exists ubiquitously in our Galaxy. This discovery leads to another important scientific question: how is molecular hydrogen distributed in our Galaxy and how does it affect globally the evolution of our Galaxy as a cold component? Hence, the present study will cover both the hot and cold components of the ISM, which will also provide the opportunity to investigate the interactions between the two.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.11a
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• pp.387-391
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• 2009

The experimental study on the ducted fan for the propulsion system of a small UAV has been performed. In this paper, to investigate the three-dimensional unsteady flow field characteristics of the ducted fan, it was measured by using a $45^{\circ}$ inclined hot-wire from hub to tip at inlet, behind the rotor and outlet of the ducted fan. The hot-wire signal data was acquired at fixed yaw angle. The data was averaged by using the PLEAT (Phase Locked Ensemble Averaging Technique), and then three of non-linear equations were solved simultaneously by using the Newton-Rhapson numerical method. Flow characteristics such as tip vortex, secondary flow and tip leakage flow were confirmed through axial, radial and tangential contour plot.