• The Korea Journal of Herbology
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• v.33 no.2
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• pp.79-84
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• 2018

Objective : The immune enhance is the main focus of current society that to increase resistance to invasion by pathogenic species of bacteria in body, stimulate the immune system and possibly protect against cancer or inflammatory disease. The present study aimed to evaluate the effect of Gentianae Radix extract on immune regulation in a LPS-induced mice model of acute inflammation. Methods : Gentianae Radix extract was administered orally at doses of 200 mg/kg/day or 400 mg/kg/day for 2 weeks before a intraperitoneally injection of LPS (1 mg/kg of 0.9% saline). After LPS-intraperitoneal injection 3 hours, blood was collected by cardiac puncture under ether anaesthesia from all animals, for the immune regulate efficacy verification based on blood or serum biomarkers (i.e., immune cells, cytokine, $PGE_2$, ROS, and $LTB_4$) analysis. Results : Compared to the control mice, the Gentianae Radix extract treatments significantly increased the count of immune cells (i.e., wite blood cell, neutrophils, and monocyte), and significantly reduced the lymphocyte. In addition, the Gentianae Radix extract treatments significantly decreased the pro-inflammatory cytokine (i.e., $IL-1{\beta}$, IL-6, and $TNF-{\alpha}$), and significantly increased IL-10 of anti-inflammatory cytokine. Furthermore, the Gentianae Radix extracts treatments significantly increased the levels of $PGE_2$ and significantly decreased the levels of ROS, and $LTB_4$. Conclusions : The results indicate that Gentianae Radix extract alleviated acute inflammatory reaction though regulation of immune meditor. Thus, Gentianae Radix extract may raw material of development a health food and medicine option for the immune enhance.

• The Korean Journal of Applied Statistics
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• v.36 no.5
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• pp.489-499
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• 2023

As sharing of analyst reports became widely available, reports generated by analysts have become a useful tool to reduce difference in financial information between market participants. The quantitative information of analyst reports has been used in many ways to predict stock returns. However, there are relatively few domestic studies on the prediction power of text information in analyst reports to predict stock returns. We test stock return predictability of text in analyst reports by creating variables representing the TONE from the text. To overcome the limitation of the linear-model-assumption-based approach, we use the random-forest-based F-test.

• Journal of Gifted/Talented Education
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• v.27 no.1
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• pp.97-118
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• 2017

This paper aims to provide reference model for directions and objectives of Software(SW) gifted education. In order to achieve the goals introduced above, we conducted the research in the following steps. First, we selected the concept of ICT-based creative talented person as a base model to establish the concept of SW gifted person. The selected base model composed three core competencies which were 'knowledge and technology competencies', 'synthesizing and creativity competencies', and 'personality competencies'. Second, we developed survey tools, like questionnaires, to investigate participant's recognition of SW gifted person. The survey tools composed three components 'computational thinking', 'entrepreneurship', and 'social responsibility'. Each of the components composed seven elements. Third, after selecting the opinion poll participants as an elementary school teacher, we surveyed opinion polling. By selecting an elementary school teacher as the opinion poll participants, we wanted to identify theirs ' opinions which are thought to be the starting point for gifted education. To survey we developed on-line survey system by using Google functions. Fourth, we analyzed the collected opinion data. To identify we summarized and synthesized participant's opinions that average values and agreement level by using frequency analysis. Also, in order to compare opinions that average values and agreement level based on whether or not participant's various experiences and competencies we computed t-value, F-value, and ${\chi}^2$ verification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8776-8790
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• 2015

As a follow-up research of a qualitative study conducted by Lee(2015), this study needed to carry out a quantitative research targeting not a group of experts but of working-level staff and verify the validity of the assessment scales. As far as the study learned from an exploratory factor analysis of the preliminary research, these 12 questions that were incorrectly categorized or that presented outliers had to be removed and as a consequence, the researcher of the study was led to an outcome(75 Items) that would correspond to this factor structure which one had temporarily set up. For the next step, in order to carry out a confirmatory factor analysis, the study worked on verification on a four-stage structural equation model with each of the factors which the researcher had established applied by stage. In the end, a result to confirm how the model's goodness of fit eventually increases with the factors which the researcher had set up added was gained and lastly, another outcome to agree to the hair designers' expertise practice model which the researcher had created was obtained. In the meantime, in terms of the assessment scales which this study has discussed, the study assumes that since the scales accepted a self-rating method, it may lead not only to increase in expertise through self-reflection but also to establishment of a rational class system based on results of objective expertise measuring but not of subjective judgment by superiors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.672-682
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• 2020

The Korea Nowadays, which is research on digital twin technology for efficient operation in various industrial/manufacturing sites, is being actively conducted, and gradual depletion of fossil fuels and environmental pollution issues require new renewable/eco-friendly power generation methods, such as wave power plants. In wave power generation, however, which generates electricity from the energy of waves, it is very important to understand and predict the amount of power generation and operational efficiency factors, such as breakdown, because these are closely related by wave energy with high variability. Therefore, it is necessary to derive a meaningful correlation between highly volatile data, such as wave height data and sensor data in an oscillating water column (OWC) chamber. Secondly, the methodological study, which can predict the desired information, should be conducted by learning the prediction situation with the extracted data based on the derived correlation. This study designed a workflow-based training model using a machine learning framework to predict the pressure of the OWC. In addition, the validity of the pressure prediction analysis was verified through a verification and evaluation dataset using an IoT sensor data to enable smart operation and maintenance with the digital twin of the wave generation system.

• Journal of Astronomy and Space Sciences
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• v.24 no.1
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• pp.69-78
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• 2007

The international EARTHSHINE mission is to measure 1% anomaly of the Earth global albedo and total solar irradiance using Amon-Ra instrument around Lagrange point 1. We developed a new ray truing based integrated end-to-end simulation tool that overcomes the shortcomings of the existing end-to-end performance simulation techniques. We then studied the in-orbit radiometric performance of the breadboard Anon-Ra visible channel optical system. The TSI variation and the Earth albedo anomaly, reported elsewhere, were used as the key input variables in the simulation. The output flux at the instrument focal plane confirms that the integrated ray tracing based end-to-end science simulation delivers the correct level of incident power to the Amon-Ra instrument well within the required measurement error budget of better than ${\pm}0.28%$. Using the global angular distribution model (ADM), the incident flux is then used to estimate the Earth global albedo and the TSI variation, confirming the validity of the primary science cases at the L1 halo orbit. These results imply that the integrated end-to-end ray tracing technique, reported here, can serve as an effective and powerful building block of the on-line science analysis tool in support of the international EARTHSHINE mission currently being developed.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.3
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• pp.397-418
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• 2019

It is very important to understand and analyze the interactive behaviour between ground and adjacent structures due to tunneling. With many technological advancement in modern society, numerous methods for analyzing the interactive behaviour are used in a wide range of civil engineering fields. Close range photogrammetry is mainly being used in the field of geotechnical engineering and research on measuring methods associated with GeoPIV has been currently increased. Originally, the close range photogrammetry using target points and aluminum rods for VMS (Vision Measurement System) program has been used. However, applying this has a problem that external errors can be occurred because the target points are artificially installed by hand, and if the grid between points is being wider or narrower, deficient data can be obtained. Therefore, in this study, MATLAB-based No-target program that can analyze displacement without using target was developed. Additionally, this study focused on comparison and verification with existing program through numerical analysis and laboratory model test. Three cases of Greenfield condition, Strip foundation, and Pile foundation were analyzed. From results of VMS program and No-target program, the error rate and reliability of the total displacement and the vertical displacement were analyzed. It was also compared and verified through the finite element numerical program, PLAXIS.

• Journal of Space Technology and Applications
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• v.2 no.2
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• pp.81-103
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• 2022

In this paper, the contents of the design and development process of the 6U micro-satellite Snipe (SNIPE, national name Toyosat; small scale magnetospheric and Ionospheric plasma experiment ), which was developed to observe the near-global space environment through polarization flight for the first time in Korea, were described. Snipe performs transversal flight to observe the Earth's surrounding space environment in three dimensions, and aims to simultaneously observe the space plasma density and temperature in the ionosphere, as well as temporal changes in the solar magnetic field and electromagnetic waves. In this way, it was developed by dividing it into a test certification model (EQM) and a flight model (FM) to perform the actual mission for at least six months, away from developing a cube satellite for short-term space technology verification or manpower training. Currently, Snipe, which has completed the development of a total of four FM and completed all space environment tests, is scheduled to launch 2023. In this paper, we introduce the design contents and development process of the Snipe satellite body ahead of launch, and hope that it will be a useful reference for the development of 6U-class micro-satellite for full-scale mission in Korea.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.2
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• pp.124-137
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• 2023

Purpose: This study's aim was to confirm the importance and performance of the clinical practice of nurses working in the general wards of a tertiary hospital and to analyze their educational needs. Methods: The study employed a descriptive research design, and a self-reported questionnaire was developed and used for nurses in a tertiary hospital. Data were collected from July 22 to July 29, 2022, analyzed by an independent t-test, paired t-test, and one-way ANOVA for the importance and performance of each clinical nursing practice according to general characteristics, and then a post hoc verification was performed by Scheffé's test. An Importance-Performance Analysis and Borich needs assessment model were used to analyze clinical nursing education needs. Results: Clinical nursing practice performance showed a significant difference according to length of total clinical career, time working in current department, and preceptor experience. According to the results of the Importance-Performance Analysis, neurological evaluation, and nursing intervention, artificial respirator and high-flow oxygen inhalation nursing, chemotherapy, emergency nursing, and cardiopulmonary resuscitation were identified as belonging to the "concentrate here" quadrant. All these items ranked in the top 10 in the Borich needs assessment model. Conclusion: Based on these results, the current education system should be reviewed, and short and long term education strategies based on educational needs should be established to strengthen the competence of nurses.

• Korean Journal of Agricultural and Forest Meteorology
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• v.18 no.4
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• pp.307-319
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• 2016

A Land-Atmosphere Modeling Package (LAMP) for supporting agricultural and forest management was developed at the National Center for AgroMeteorology (NCAM). The package is comprised of two components; one is the Weather Research and Forecasting modeling system (WRF) coupled with Noah-Multiparameterization options (Noah-MP) Land Surface Model (LSM) and the other is an offline one-dimensional LSM. The objective of this paper is to briefly describe the two components of the NCAM-LAMP and to evaluate their initial performance. The coupled WRF/Noah-MP system is configured with a parent domain over East Asia and three nested domains with a finest horizontal grid size of 810 m. The innermost domain covers two Gwangneung deciduous and coniferous KoFlux sites (GDK and GCK). The model is integrated for about 8 days with the initial and boundary conditions taken from the National Centers for Environmental Prediction (NCEP) Final Analysis (FNL) data. The verification variables are 2-m air temperature, 10-m wind, 2-m humidity, and surface precipitation for the WRF/Noah-MP coupled system. Skill scores are calculated for each domain and two dynamic vegetation options using the difference between the observed data from the Korea Meteorological Administration (KMA) and the simulated data from the WRF/Noah-MP coupled system. The accuracy of precipitation simulation is examined using a contingency table that is made up of the Probability of Detection (POD) and the Equitable Threat Score (ETS). The standalone LSM simulation is conducted for one year with the original settings and is compared with the KoFlux site observation for net radiation, sensible heat flux, latent heat flux, and soil moisture variables. According to results, the innermost domain (810 m resolution) among all domains showed the minimum root mean square error for 2-m air temperature, 10-m wind, and 2-m humidity. Turning on the dynamic vegetation had a tendency of reducing 10-m wind simulation errors in all domains. The first nested domain (7,290 m resolution) showed the highest precipitation score, but showed little advantage compared with using the dynamic vegetation. On the other hand, the offline one-dimensional Noah-MP LSM simulation captured the site observed pattern and magnitude of radiative fluxes and soil moisture, and it left room for further improvement through supplementing the model input of leaf area index and finding a proper combination of model physics.