• Journal of Astronomy and Space Sciences
• /
• 제30권4호
• /
• pp.247-253
• /
• 2013

It has long been known that the magnetospheric particles can precipitate into the atmosphere of the Earth. In this paper we examine such precipitation of energetic electrons using the data obtained from low-altitude polar orbiting satellite observations. We analyze the precipitating electron flux data for many periods selected from a total of 84 storm events identified for 2001-2012. The analysis includes the dependence of precipitation on the Kp index and the electron energy, for which we use three energies E1 > 30 keV, E2 > 100 keV, E3 > 300 keV. We find that the precipitation is best correlated with Kp after a time delay of < 3 hours. Most importantly, the correlation with Kp is notably tighter for lower energy than for higher energy in the sense that the lower energy precipitation flux increases more rapidly with Kp than does the higher energy precipitation flux. Based on this we suggest that the Kp index reflects excitation of a wave that is responsible for scattering of preferably lower energy electrons. The role of waves of other types should become increasingly important for higher energy, for which we suggest to rely on other indicators than Kp if one can identify such an indicator.

• 한국지구과학회지
• /
• 제29권5호
• /
• pp.375-385
• /
• 2008

The relationship between two interannual climate variabilities and the frequency of tropical cyclone (TC) that landed over the Korean Peninsula (KP) has investigated for the period of 1951-2004. In the analysis of the relationship between KP-landfall TC frequency and the ENSO phase, most TCs of C-14 (TCs that do not pass through mainland China before landing the KP) and C-23 (TCs that pass through mainland China before landing the KP) tended to more land in the warm phase than normal and cold phases. However, TC intensity at landfall was stronger in the cold and normal phases. In the analysis of the relationship between KP-landfall TC frequency and Arctic Oscillation (AO) phase, the TCs of C-14 tended to more land in the positive (POS) phase of AO and the negative (NEG) phase of AO for C-23. It was found that AO index was negatively correlated with the Ni$\tilde{n}$o-3.4 index. And then the TCs of C-14 landed more frequently over the KP in the AO POS - Ni$\tilde{n}$o-3.4 NEG phases and in the AO NEG - Ni$\tilde{n}$o-3.4 POS phases for the TCs of C-23.

• Perspectives in Nursing Science
• /
• 제16권2호
• /
• pp.84-97
• /
• 2019

Purpose: This study aimed to develop the Korean Prototype of Wellness Index (KP-WI) and identify the relationship between Koreans' health characteristics and wellness. Methods: The Wellness Index (WI) was translated into the primitive version of the KP-WI, considering the Koreans' culture and health behavior. It was administered to 223 service industrial employees at one workplace along with the Positive Affect and Negative Affect Schedule (PANAS) and Stress Questionnaire-Short Form. Data analyses included item-total correlation, Pearson's correlation coefficient, independent t-test, and one-way ANOVA. Results: The primitive version was modified to KP-WI based on the item-total correlation. The items considered to lower the reliability of the KP-WI were eliminated. Cronbach's ${\alpha}$ for each subscale ranged from .857 to .939. Perceived stress and negative emotions correlated significantly with wellness measured by KP-WI (r=-.29, p<.001; r=-.27, p<.001). Positive emotions correlated significantly with wellness (r=.60, p<.001). Conclusion: This study contributes to the development of Korean-style wellness indexes by developing a prototype and exploring the factors related to wellness.

• Journal of Astronomy and Space Sciences
• /
• 제30권3호
• /
• pp.169-174
• /
• 2013

BOH magnetometer was installed at Mt. Bohyun in 2007 and has provided continuous dataset for 3-axis geomagnetic field over the South Korea. We have calculated real-time K-index based on BOH magnetic field data using well-known FMI method. Local K-index is calculated eight times a day, per every three hours. To calculate K-index, it is critical to get the Quiet Day Curve (QDC). For QDC calculation, we take the previous one month's average of H-component. In this paper, we compared four geomagnetic stations' magnetic field data over South Korea and Japan and K-indices of each stations; Bohyun, Gangneung, Jeju, and Kakioka for two years data, 2011-2012. To investigate the difference depending on the latitude, longitude and local time in more detail, we compare K-index on International Quiet Days (IQDs) and International Disturbed Days (IDDs). As a result, we report the correlation between local K-indices are higher than those between Kp and local K-indices, and the correlation is much better after sunset than after sunrise. As the geomagnetic activity becomes stronger, the correlation between the local K-indices and global Kp-index become higher.

• 공업화학
• /
• 제8권6호
• /
• pp.1014-1021
• /
• 1997

수세미외 그물 섬유를 크라프트법, 알카리 아황산법, 아황산법, 알카리 과산화 수소법과 소오다법으로 펄프화하고, 안트라퀴논의 첨가와 미첨가 조건으로 구분하여 증해하였다. 이들의 고해와 미고해분에 대하여 주사 전자현미경(SEM), 섬유 품질 분석기(FQA), 섬유길이 분류기(Clark 4-Screen Classifier), 화상 분석기(Image Analyzer)를 이용하여 특성과 섬유의 구조를 비교 분석하였다. 그 결과는 다음과 같다. 1) 수세미의 섬유의 증해후 해섬 가능 기준의 Pulping 조건은 KP계($160^{\circ}C$, 2시간), ASP계($155^{\circ}C$, 4시간), PAP계($160^{\circ}C$, 1시간)에서 Kappa값이 각각 12, 25, 10 수준으로 비교적 낮은 Total Alkali(약 20%) 조건에서 적정 증해가 가능했다. 2) 각 펄프화별 펄프의 총 증해수율은 KP 50~55, ASP계 60~70, PAP계 45~50%로 SP계의 수율은 매우 높고, KP나 PAP는 일반 비목재나 목재와 비슷한 수준을 나타냈다. 3)NaOH의 투입량의 증가는 해섬능을 촉진하고, 섬유길이, Curl, Kink Index 등에서 품질의 형태 변화를 보였다. 4) 수세미외 섬유의 펄프화 공정에서 AQ첨가는 탈리그닌 촉진으로 해섬능이 현격하게 향상되고 섬유의 산화 분해를 방지하며, 고해 속도 상승과 피브릴화를 촉진하였다. 5) ASP계는 KP나 PAP보다 Bulk density가 높고, 섬유간 결합이 치밀하고, 섬유의 세포 손상이 감소되었다. 6) 수세미외 섬유는 "C" Stain에 의한 정색 반응으로 청색 또는 청회색의 맑고 투명한 세포벽을 갖는 정색 특성을 나타냈다.

• Archives of Pharmacal Research
• /
• 제16권4호
• /
• pp.336-338
• /
• 1993

The immunomodulating activity of Kp, an antitumor protein-polysacchanide preparation from the shake-cultured mycelia of Phellinus linteus, was investigated in ICR mice subcutaneously implanted wit $1\times10^6$ cells of sarcoma 180. The mice were intraperitoneally administered with Kp at a does of 100 mg/kg once daily for five consecutive days starting from 24 hrs after the tumor implantation. Ten days after the last injection, the mice were immunized with $1\times10^7$ or $4\times10^8$ sheep red blood cells (SRBC) and five days later, the antibody-forming immune response were assessed by direct hemolytic plaque assay. To an immunization does of $1\times10^7$ SRBC, the Kp-treated mice elicied a successful humoral immune response despite the turmor-burden and produced $259\times10^3$ plaque-forming cells (PFC)/spleen, while the corresponding tumor-bearing control mice showed virtually no reponse $(2.0\times10^3$ PFC/spleen) (the stimulation index=129.5). However, to an immunization dose of $4\times10^8$ SRBC, both of the control mice and Kp-treated mice showed almost the same level of strong humoral immune response. From these data it is clear that Kp effectively restores the humoral immune response of the turmor-bearing ICR mice.

• 천문학회보
• /
• 제37권2호
• /
• pp.123.1-123.1
• /
• 2012

We have compared near-real time Kp forecast models based on neural network (NN) and support vector machine (SVM) algorithms. We consider four models as follows: (1) a NN model using ACE solar wind data; (2) a SVM model using ACE solar wind data; (3) a NN model using ACE solar wind data and preliminary kp values from US ground-based magnetometers; (4) a SVM model using the same input data as model 3. For the comparison of these models, we estimate correlation coefficients and RMS errors between the observed Kp and the predicted Kp. As a result, we found that the model 3 is better than the other models. The values of correlation coefficients and RMS error of the model 3 are 0.93 and 0.48, respectively. For the forecast evaluation of models for geomagnetic storms ($Kp{\geq}6$), we present contingency tables and estimate statistical parameters such as probability of detection yes (PODy), false alarm ratio (FAR), bias, and critical success index (CSI). From a comparison of these statistical parameters, we found that the SVM models (model 2 and model 4) are better than the NN models (model 1 and model 3). The values of PODy and CSI of the model 4 are the highest among these models (PODy: 0.57 and CSI: 0.48). From these results, we suggest that the NN models are better than the SVM models for predicting Kp and the SVM models are better than the NN models for forecasting geomagnetic storms.

• 한국전문물리치료학회지
• /
• 제20권1호
• /
• pp.74-80
• /
• 2013

We evaluated whether group locomotor imagery training-combined knowledge of performance (KP) lead to improvements in gait function in community dwelling individuals with chronic stroke. Ten adults who had suffered a hemiparetic stroke at least 6 months earlier participated in group locomotor imagery training-combined KP for 5 weeks, twice per week, with 2 h intensive training. Dynamic gait index scores increased significantly after the group locomotor imagery training-combined KP. However, times for the timed up-and-go test did not improve significantly after the training. Group locomotor imagery training-combined KP may be a useful option for the relearning of gait performance for community dwelling individuals with chronic hemiparetic stroke.

• 한국전문물리치료학회지
• /
• 제8권1호
• /
• pp.9-19
• /
• 2001

During therapy sessions, feedback is often provided concurrently by the physical therapist as the patient attempts to perform a movement and after the movement attempt. This feedback is provided to enhance the patient's balance abilities. However, recent studies in nondisabled populations have suggested that frequent feedback may be detrimental to retention or learning of motor skills. This study compared the effects of 100% relative frequency of knowledge of performance (KP) with 66% relative frequency of KP for motor learning on balance retraining in patients with hemiplegia. Twenty patients with hemiplegic were randomly assigned to one of two experimental groups. The acquisition phase consisted of 16 blocks of 5 trials for 2 days (80 total practice trials). The retention phase consisted of 2 blocks of a short-term retention test, one day after the end of the acquisition phase and a long-term retention test, one week after the end of the short-term retention test. In the 100% feedback condition, participants received feedback after every practice trial. A faded KP schedule was used in the 66% condition. No significant differences were found between the two groups during all experimental phases (acquisition and retention phases), (p>.05). However, there were significant decreases in balance index for both groups of acquisition phase (p<.05). These results suggest that 66% relative frequency of KP is not more effective than 100% relative frequency of KP with respect to retention over time when hemiparetic patients attempt to learn balance.

• Journal of Positioning, Navigation, and Timing
• /
• 제12권4호
• /
• pp.423-430
• /
• 2023

One recent notable method for real-time elimination of ionospheric errors in geodetic applications is the Predicted Global Ionosphere Map (PGIM). This study analyzes the level of accuracy achievable when applying the PGIM provided by the Center for Orbit Determination of Europe (CODE) to the Korean Peninsula region. First, an examination of the types and lead times of PGIMs provided by the International GNSS Service (IGS) Analysis Center revealed that CODE's two-day prediction model, C2PG, is available approximately eight hours before midnight. This suggests higher real-time usability compared to the one-day prediction model, C1PG. When evaluating the accuracy of PGIM by assuming the final output of the Global Ionosphere Map (GIM) as a reference, it was found that on days with low solar activity, the error is within ~2 TECU, and on days with high solar activity, the error reaches ~3 TECU. A comparison of the errors introduced when using PGIM and three solar activity indices-Kp index, F10.7, and sunspot number-revealed that F10.7 exhibits a relatively high correlation coefficient compared to Kp-index and sunspot number, confirming the effectiveness of the prediction model.