• International Journal of Advanced Culture Technology
• /
• v.10 no.1
• /
• pp.180-186
• /
• 2022

This study is a pilot study to confirm the effectiveness of training after applying emergency simulation training for inactive nurses and to present a new model of simulation training operation method. In this study, the control group is a group that directly participates in the simulation activity, and the experimental group is the group that observes the control group's simulation activity. Experimental group and control group were matched 1:1 to experience all the roles of the resuscitation team. The study participants were 5 inactive nurses in the experimental group and 5 inactive nurses in the control group, and the total training time was 5 hours. The emergency simulation operation composition consists of theory education, skill education, and simulation. The interview was conducted. The educational satisfaction of the participants was 4.65 points for theory education and 4.70 points for practical education based on 5 points. Participants' performance confidence improved from 3.60 points before operation to 7.20 points after operation. Emergency simulation operation consisted of pre-test, theory education, skill education, simulation implementation, debriefing, and post-test. Participants expressed that the choice of group greatly reduced the burden and anxiety about performing the role of the resuscitation team. However, difficulties and inexperience in the operation of the defibrillator were reported in the experimental group. The control group reported that the simulation activity of the experimental group was not significantly different from theirs. Through the results of this study, it was confirmed that emergency simulation education not only reduced the burden and anxiety of inactive nurses, but also had an effect of education. Based on the research results, it is proposed to expand the participants and verify the effectiveness of education through specific variables such as learning commitment, learner confidence, simulation satisfaction, and team effectiveness.

• Journal of Science Education
• /
• v.37 no.1
• /
• pp.1-10
• /
• 2013

The purpose of this study was to examine the effect of multiple intelligences-specific observation strategy on observation skills, achievement and scientific attitude in elementary science class For this study, the observation learning for the multiple intelligences-specific observation strategy was applied to elementary science class. The results of this study were as follows: To examine this learning materials were applied to elementary science curriculum, and an experimental group and a control group were selected from 4th graders at elementary school J located in Incheon. The results of this study were as follows.: 1. this study was found statistically significant difference in the pupil's enhancement of the observation ability(p<.05). Specifically, analysis of elements of the observation abilities, it was effective to increase abilities of classification of statements, qualitative observation and quantitative observation. 2. science academic achievement of the group using this developed program was significantly higher compared with a control group. 3. there weren't differences between the comparison and experimental groups in term of the scientific attitude. But the experimental group showed greater increases in the openness, spontaneity and creativity that are the elements of scientific attitude. In conclusion, the Multiple Intelligences Observation Training was useful to develop the elementary school student's the observation ability, science academic achievement, scientific attitude(openness, spontaneity and creativity) and better be widely applied to science education.

• Journal of The Korean Association For Science Education
• /
• v.20 no.1
• /
• pp.101-111
• /
• 2000

The present study was carried out to investigate the actual condition of the evaluation of science learning in the secondary school, and to develop the basic data for the improvement of the science learning assessment. Various questions for three evaluative domains were asked to 51 science teachers with the questionnaire during the in-service training course for certificate on summer in 1998. The cognition of the table of specification appeared high as 98% responses to the questionnaire, but the teachers' ability to distinguish behavioral elements was low as 47% responses. The evaluative rate of three domains for knowledge, skill and attitude appeared as 45%, 35% and 20% evaluation in both diagnostic and formative evaluation and 40%, 40% and 20% evaluation in summative evaluation. The evaluation of process skill appeared a tendency depending on laboratory reports as 61%, and was higher rather than in the formative evaluation or summative evaluation. In the evaluation of attitude domain, about a half of teachers answered that they evaluated the domain with laboratory reports as 43%, and some teachers evaluated the domain with teacher's observation as 33%. Also there were a few teachers who did not evaluate the attitude domain as 8%. The rate for the elements of the process skill appeared 86% responses in the interpretation of data, 31% in the observative ability, 18% in the predictive ability, 14% in the classified ability, 12% in the measuring and data-investigating ability, 4% in the discussion ability, and 2% in the investigating ability. We could find out that many teachers had given higher rate in the evaluation of process skill and attitude rather than before the present study, therefore there was more improvement in the evaluation for process skill and attitude domain after the 6th curriculum.

• Atmosphere
• /
• v.29 no.5
• /
• pp.671-687
• /
• 2019

This study evaluates the long-term seasonal predictability of summer (June, July and August) heatwaves over South Korea using 30-year (1989~2018) Hindcast data of the Pusan National University Coupled General Circulation Model (PNU CGCM)-Weather Research and Forecasting (WRF) chain. Heatwave indices such as Number of Heatwave days (HWD), Heatwave Intensity (HWI) and Heatwave Warning (HWW) are used to explore the long-term seasonal predictability of heatwaves. The prediction skills for HWD, HWI, and HWW are evaluated in terms of the Temporal Correlation Coefficient (TCC), Root Mean Square Error (RMSE) and Skill Scores such as Heidke Skill Score (HSS) and Hit Rate (HR). The spatial distributions of daily maximum temperature simulated by WRF are similar overall to those simulated by NCEP-R2 and PNU CGCM. The WRF tends to underestimate the daily maximum temperature than observation because the lateral boundary condition of WRF is PNU CGCM. According to TCC, RMSE and Skill Score, the predictability of daily maximum temperature is higher in the predictions that start from the February and April initial condition. However, the PNU CGCM-WRF chain tends to overestimate HWD, HWI and HWW compared to observations. The TCCs for heatwave indices range from 0.02 to 0.31. The RMSE, HR and HSS values are in the range of 7.73 to 8.73, 0.01 to 0.09 and 0.34 to 0.39, respectively. In general, the prediction skill of the PNU CGCM-WRF chain for heatwave indices is highest in the predictions that start from the February and April initial condition and is lower in the predictions that start from January and March. According to TCC, RMSE and Skill Score, the predictability is more influenced by lead time than by the effects of topography and/or terrain feature because both HSS and HR varies in different leads over the whole region of South Korea.

• Atmosphere
• /
• v.17 no.4
• /
• pp.327-337
• /
• 2007

In this study, we examined the new ensemble training approach to reduce the systematic error and improve prediction skill of wind by using the Short-range Ensemble prediction system (SENSE), which is the mesoscale multi-model ensemble prediction system. The SENSE has 16 ensemble members based on the MM5, WRF ARW, and WRF NMM. We evaluated the skill of surface wind prediction compared with AWS (Automatic Weather Station) observation during the summer season (June - August, 2006). At first stage, the correction of initial state for each member was performed with respect to the observed values, and the corrected members get the training stage to find out an adaptive weight function, which is formulated by Root Mean Square Vector Error (RMSVE). It was found that the optimal training period was 1-day through the experiments of sensitivity to the training interval. We obtained the weighted ensemble average which reveals smaller errors of the spatial and temporal pattern of wind speed than those of the simple ensemble average.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2018.05a
• /
• pp.150-150
• /
• 2018

The Numerical Weather Prediction (NWP) models provide information for weather forecasts. The highly nonlinear and complex interactions in the atmosphere are simplified in meteorological models through approximations and parameterization. Therefore, the simplifications may lead to biases and errors in model results. Although the models have improved over time, the biased outputs of these models are still a matter of concern in meteorological and hydrological studies. Thus, bias removal is an essential step prior to using outputs of atmospheric models. The main idea of statistical bias correction methods is to develop a statistical relationship between modeled and observed variables over the same historical period. The Model Output Statistics (MOS) would be desirable to better match the real time forecast data with observation records. Statistical post-processing methods relate model outputs to the observed values at the sites of interest. In this study three methods are used to remove the possible biases of the real-time outputs of the Weather Research and Forecast (WRF) model in Imjin basin (North and South Korea). The post-processing techniques include the Linear Regression (LR), Linear Scaling (LS) and Power Scaling (PS) methods. The MOS techniques used in this study include three main steps: preprocessing of the historical data in training set, development of the equations, and application of the equations for the validation set. The expected results show the accuracy improvement of the real-time forecast data before and after bias correction. The comparison of the different methods will clarify the best method for the purpose of the forecast skill enhancement in a real-time case study.

• Atmosphere
• /
• v.28 no.1
• /
• pp.37-51
• /
• 2018

In this study, we investigate the performance of Global Seasonal Forecasting System version 5 (GloSea5) in Korea Meteorological Administration on the relationship between El $Ni{\tilde{n}}o$ and East Asian climate for the period of 1991~2010. It is found that the GloSea5 has a great prediction skill of El $Ni{\tilde{n}}o$ whose anomaly correlation coefficients of $Ni{\tilde{n}}o$ indices are over 0.96 during winter. The eastern Pacific (EP) El $Ni{\tilde{n}}o$ and the central Pacific (CP) El $Ni{\tilde{n}}o$ are considered and we analyze for EP El $Ni{\tilde{n}}o$, which is well simulated in GloSea5. The analysis period is divided into the developing phase of El $Ni{\tilde{n}}o$ summer (JJA(0)), mature phase of El $Ni{\tilde{n}}o$ winter (D(0)JF(1)), and decaying phase of El $Ni{\tilde{n}}o$ summer (JJA(1)). The GloSea5 simulates the relationship between precipitation and temperature in East Asia and the prediction skill for the East Asian precipitation and temperature varies depending on the El $Ni{\tilde{n}}o$ phase. While the precipitation and temperature are simulated well over the equatorial western Pacific region, there are biases in mid-latitude region during the JJA(0) and JJA(1). Because the low level pressure, wind, and vertical stream function are simulated weakly toward mid-latitude region, though they are similar with observation in low-latitude region. During the D(0)JF(1), the precipitation and temperature patterns analogize with observation in most regions, but there is temperature bias in inland over East Asia. The reason is that the GloSea5 poorly predicts the weakening of Siberian high, even though the shift of Aleutian low is predicted. Overall, the predictability of precipitation and temperature related to El $Ni{\tilde{n}}o$ in the GloSea5 is considered to be better in D(0)JF(1) than JJA(0) and JJA(1) and better in ocean than in inland region.

• Journal of the Korean Society of Physical Medicine
• /
• v.5 no.3
• /
• pp.455-465
• /
• 2010

Purpose : This study is intended to examine the motor skill learning on balance and coordination in the cerebellar injured rats by 3AP. Methods : This study selected 60 Sprague-Dawley rats of 8 weeks. Experiment groups were divided into four groups and assigned 15 rats to each group. Group I was a normal control group(induced by saline); Group II was a experimental control group(cerebellar injured by 3AP); Group III was a group of motor skill learning after cerebellar injured by 3AP; Group IV was a group of treadmill exercise after cerebellar injured by 3AP. In each group, motor performance test, histologic observations, synaptophysin expression and electron microscopy observation were analyzed. Results : In motor performance test, the outcome of group II was significantly lower than the group III, IV(especially group III)(p<.001). In histological finding, the experimental groups were destroy of dendrities and nucleus of cerebellar neurons. Group III, IV were decreased in degeneration of cerebellar neurons(especially group III). In immunohistochemistric response of synaptophysin in cerebellar cortex, experimental groups were decreased than group I. Group III's expression of synaptophysin was more increased than group II, IV. In electron microscopy finding, the experimental groups were degenerated of Purkinje cell. Conclusion : These result suggest that improved motor performance by motor skill learning after harmaline induced is associated with dynamically altered expression of synaptophysin in cerebellar cortex and that is related with synaptic plasticity.

• Atmosphere
• /
• v.20 no.3
• /
• pp.229-238
• /
• 2010

The 1,000~500 hPa thickness and the $0^{\circ}C$ isotherm at 850 hPa have been used as the traditional predictors for wintertime precipitation-type forecasts. New approaches are taking on added significance as preexistence method of determination for wintertime precipitation-type exhibits more or less prevalent false alarms. Moreover thicknesses and thermodynamic profiles from ordinary upper-air observation were not adequate to monitor the atmospheric structure. In this regard, Microwave radiometric profiler microwave radiometer is useful in wintertime precipitation-type forecasts because radiometric measurements provide soundings at high temporal resolution. In this study, the determination and the predictability of wintertime precipitation-type were examined by using the calculated thicknesses, temperature of 850 hPa (T850) from a microwave radiometer, and surface observation at National Center for Intensive Observation of severe weather (NCIO) located at Haenam, Korea. The critical values for traditional predictors (thickness of 1000~500 hPa and T850) were evaluated and adjusted to Haenam region because snow rarely occurred with a 1000-500 hPa thickness > 5,300 m and T850 > $-10^{\circ}C$. Three thicknesses (e.g., 1,000~850, 1000~700, and 850~700 hPa thickness), T850, surface air temperature, and wet-bulb temperature were also evaluated as the additional predictors. A simple nomogram and a flow chart were finally designed to determine the wintertime precipitation-type using the microwave radiometer. The skill scores for the predictability of precipitation-type determination are considerably improved and the predictors showed the temporal variations in 12 hours before precipitation. We can monitor the hit and run snowfall in winter successful by realtime watch of the predictors, especially in commutes of big cities.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.20 no.1
• /
• pp.29-35
• /
• 2015

Dissolved nutrients in seawater are recognized as an essential biogeochemical factor for detecting global environmental changes. The importance of nutrient reference material for seawater has been increased greatly for the comparison of nutrient data, measured in different time and space in global ocean by various researchers with different levels in nutrient analysis skill. In this study, we described the homogeneity and stability of nutrient reference material for seawater using natural seawater, collected at a station of Shihwa Lake, at a coastal station near Uljin (surface water), and at a station over the Ulleung Basin (surface water and 1500 m depth water) and sterilized. Based on the homogeneity data, the nutrient reference materials has similar homogeneity compared to other nutrient reference materials. During 3-13 month period, there was no unidirectional trend of increase or decrease in nutrient concentration of newly developed nutrient reference material for seawater. However, a sustained measurement is required to check stability for longer period.