Purpose: We performed this study to find out short period humoral immunogenicity and safety of 47 passaged Oka strain live attenuated varicella vaccine(1,400PFU) in 12 months to 15 years aged healthy children. Methods: Ninety nine healthy chidren, who have no histories of varicella vaccination, recent chicken pox illness and contact, allergy to other vaccines and underlying severe diseases, were involved in this study from April 1997 to August 1997. 5ml blood were collected before vaccination and after vaccination from all vaccinees to measure varicella membrane antibody by FAMA, and varicella IgG antibody by EIA. And immediate reactions within 30 minutes after vaccination, local and systemic reactions within 3 days after vaccination and vaccine induced systemic illness during 6 weeks postvaccination period were observed in all vaccinees to identify side effects of study vaccine. Results: 1) 49 seronegative and 50 seropositive vaccinees were identified in both prevaccination serologic tests. 2) Serologic responses after vaccination measured by the FAMA in seronegative group showed that the mean GMT level revealed 64.0, and seroconversion rate was 97.9%. And serologic responses after vaccination measured by the FAMA in seropositive group showed that the mean GMT level(242.2) was markedly elevated comparing with the mean GMT level(9.2) of pre vaccination. 3) The results of EIA in seronegative group revealed that postvaccination mean GMT was 435.2(prevaccination GMT; 78.7), and 100% seroconversion rate. Also, the results of EIA in seropositve group showed that the mean GMT level(769.9) of postvaccination was almostly two fold hihger than the mean GMT level(419.7) of prevaccination. 4) Observed local reactions like injection sites redness, pain, hardness and itching sense were mild and disappeared within 3 days, also shorterm systemic reactions like irritability, lethargy, poor appetites and rash were not remarkable. And there were no remarkable side effects due to vaccine during study period in all vaccinees. Conclusion: We confirmed that 47 paasaged Oka strain live attenuated varicella vaccine has high shorterm humoral immunogenicity and safety. However, we need more detail and longterm humoral and cell mediated immunogenicity studies of this vaccine including clinical field trials.
Cho, Kyu Chae;Park, Hyung Soo;Lee, Sang Hoon;Choi, Jin Hyeok;Seo, Sung;Choi, Gi Jun
Journal of Animal Environmental Science
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v.18
no.sup
/
pp.81-90
/
2012
This study was evaluated high end research grade Near infrared spectrophotometer (NIRS) to low end popular field grade multiple Near infrared spectrophotometer (NIRS) for rapid analysis at forage quality at sight with 241 samples of Italian ryegrass silage during 3 years collected whole country for evaluate accuracy and precision between instruments. Firstly collected and build database high end research grade NIRS using with Unity Scientific Model 2500X (650 nm~2,500 nm) then trim and fit to low end popular field grade NIRS with Unity Scientific Model 1400 (1,400 nm~2,400 nm) then build and create calibration, transfer calibration with special transfer algorithm. The result between instruments was 0.000%~0.343% differences, rapidly analysis for chemical constituents, NDF, ADF, and crude protein, crude ash and fermentation parameter such as moisture, pH and lactic acid, finally forage quality parameter, TDN, DMI, RFV within 5 minutes at sight and the result equivalent with laboratory data. Nevertheless during 3 years collected samples for build calibration was organic samples that make differentiate by local or yearly bases etc. This strongly suggest population evaluation technique needed and constantly update calibration and maintenance calibration to proper handling database accumulation and spread out by knowledgable control laboratory analysis and reflect calibration update such as powerful control center needed for long lasting usage of forage analysis with NIRS at sight. Especially the agriculture products such as forage will continuously changes that made easily find out the changes and update routinely, if not near future NIRS was worthless due to those changes. Many research related NIRS was shortly study not long term study that made not well using NIRS, so the system needed check simple and instantly using with local language supported signal methods Global Distance (GD) and Neighbour Distance (ND) algorithm. Finally the multiple popular field grades instruments should be the same results not only between research grade instruments but also between multiple popular field grade instruments that needed easily transfer calibration and maintenance between instruments via internet networking techniques.
Moon, Song Hee;Kim, Eun Ji;Kim, Eun Jeong;Chang, Hae Choon
Korean Journal of Food Science and Technology
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v.50
no.1
/
pp.44-54
/
2018
To maintain the best quality of kimchi during long-term storage, we developed a fermentation storage mode for the kimchi refrigerator. The optimal kimchi fermentation temperature was determined to be $6^{\circ}C$ with fermentation time of 4-7 days in winter and 3-5 days in spring and fall. Based on these results, the fermentation storage mode conditions were programmed to consist of a fermentation temperature of $6^{\circ}C$ and fermentation times of 111 h in winter and 58 h in spring/fall. When kimchi was stored under the developed fermentation storage mode conditions, the total acidity of kimchi was almost the same as that of the control kimchi (stored $-2-\;-1^{\circ}C$ for 12 weeks). However, the number of lactic acid bacteria (LAB) and Leuconostoc sp. in kimchi were higher ($10^1-10^2CFU/mL$) than those in the control kimchi during storage. In addition, kimchi fermented and stored under the fermentation storage mode clearly received higher scores for overall preference than the control kimchi.
Park, Sun-Ae;Kim, Myung-Joo;Jang, Joo-Yeun;Choi, Myung-Sook;Yeo, Ji-Young;Lee, Mi-Kyung
Journal of the Korean Society of Food Science and Nutrition
/
v.35
no.9
/
pp.1159-1165
/
2006
Our preliminary study showed that genistein and daidzein improved blood glucose level in type 2 diabetic mice by enhancing the glucose and lipid metabolism. The objective of this study was to evaluate whether genistein and daidzein are associated with alterations in antioxidant defense mechanism of type 2 diabetic mice. Male C57BL/KsJ-db/db (db/db) mice and age-matched non-diabetic littermates (db/+) were used in this study. The db/db mice were divided into control, genistein (0.02%, w/w) and daidzein (0.02%, w/w) groups. The relative weights of liver, epididymal adipose tissue and perirenal adipose tissue were significantly higher in the db/db group than in the db/+ group, whereas heart weight was lower. The genistein and daidzein supplement did not affect the organ weights in db/db mice. The blood glucose level was positively correlated with superoxide dismutase (SOD, r=0.380, p<0.05) and catalase (CAT, r=0.345, p<0.05) activities and negatively correlated with glutathione peroxidase (GSH Px, r= 0.404, p<0.05) activity in erythrocyte. Therefore, the erythrocyte SOD and CAT activities were significantly elevated in the db/db group compared to the db/+ group and the GSH-Px activity was lowered. However, the supplementation of genistein and daidzein reversed erythrocyte CAT and GSH-Px activities in type 2 diabetic mice. In this current study, the SOD activities in liver, kidney and heart were significantly not different between the groups. The CAT and GSH-Px activities in liver and GSH-Px activity in kidney were significantly higher in the db/db group than in the db/+ group, while the CAT activity in kidney, CAT and GSH-Px activities in heart were lowered. The supplementation of genistein and daidzein significantly attenuated the changes of CAT and/or GSH-Px activities in liver and heart. The supplementation of genistein and daidzein elevated GSH levels in kidney and heart compared to the db/db control group. The lipid peroxide levels in liver, kidney and heart were significantly lowered in the genistein and daidzein supplemented groups compared to the db/db control group. These results suggest that genistein and daidzein might be beneficial for the prevention of type 2 diabetic complication via suppressing changes of antioxidant enzymes activities with simultaneous reduction of lipid peroxidation.
To observe and analyze the characteristics of cloud and precipitation properties, the Cloud physics Observation System (CPOS) has been operated from December 2003 at Daegwallyeong ($37.4^{\circ}N$, $128.4^{\circ}E$, 842 m) in the Taebaek Mountains. The major instruments of CPOS are follows: Forward Scattering Spectrometer Probe (FSSP), Optical Particle Counter (OPC), Visibility Sensor (VS), PARSIVEL disdrometer, Microwave Radiometer (MWR), and Micro Rain Radar (MRR). The former four instruments (FSSP, OPC, visibility sensor, and PARSIVEL) are for the observation and analysis of characteristics of the ground cloud (fog) and precipitation, and the others are for the vertical cloud characteristics (http://weamod.metri.re.kr) in real time. For verification of CPOS products, the comparison between the instrumental products has been conducted: the qualitative size distributions of FSSP and OPC during the hygroscopic seeding experiments, the precipitable water vapors of MWR and radiosonde, and the rainfall rates of the PARSIVEL(or MRR) and rain gauge. Most of comparisons show a good agreement with the correlation coefficient more than 0.7. These reliable CPOS products will be useful for the cloud-related studies such as the cloud-aerosol indirect effect or cloud seeding. The visibility value is derived from the droplet size distribution of FSSP. The derived FSSP visibility shows the constant overestimation by 1.7 to 1.9 times compared with the values of two visibility sensors (SVS (Sentry Visibility Sensor) and PWD22 (Present Weather Detect 22)). We believe this bias is come from the limitation of the droplet size range ($2{\sim}47\;{\mu}m$) measured by FSSP. Further studies are needed after introducing new instruments with other ranges.
Mesoscale soil moisture measurement from the promising Cosmic-Ray Neutron Probe (CRNP) is expected to bridge the gap between large scale microwave remote sensing and point-based in-situ soil moisture observations. Traditional calibration based on $N_0$ method is used to convert neutron intensity measured at the CRNP to field scale soil moisture. However, the static calibration parameter $N_0$ used in traditional technique is insufficient to quantify long term soil moisture variation and easily influenced by different time-variant factors, contributing to the high uncertainties in CRNP soil moisture product. Consequently, in this study, we proposed a modified traditional calibration method, so-called Dynamic-$N_0$ method, which take into account the temporal variation of $N_0$ to improve the CRNP based soil moisture estimation. In particular, a nonlinear regression method has been developed to directly estimate the time series of $N_0$ data from the corrected neutron intensity. The $N_0$ time series were then reapplied to generate the soil moisture. We evaluated the performance of Dynamic-$N_0$ method for soil moisture estimation compared with the traditional one by using a weighted in-situ soil moisture product. The results indicated that Dynamic-$N_0$ method outperformed the traditional calibration technique, where correlation coefficient increased from 0.70 to 0.72 and RMSE and bias reduced from 0.036 to 0.026 and -0.006 to $-0.001m^3m^{-3}$. Superior performance of the Dynamic-$N_0$ calibration method revealed that the temporal variability of $N_0$ was caused by hydrogen pools surrounding the CRNP. Although several uncertainty sources contributed to the variation of $N_0$ were not fully identified, this proposed calibration method gave a new insight to improve field scale soil moisture estimation from the CRNP.
This study was conducted to evaluate the effect of phased horticultural therapy(HT) program on the experience of psychologic therapy and the development of job and social integration in the mentally handicapped persons. In this study, the mentally handicapped persons participated in HT program were chosen in disabled person's welfare institute of Jeonnam. HT program was performed twice a week with 1 hour activity for 4 months. As a results, the mentally handicapped persons participated in HT program showed high interest of horticulture and improvement of self-respect and the high satisfactory degree of HT program. Therefore, the mentally handicapped persons were showed the experience of both physical and mental therapy, improvement of self-esteem scale and sociality in HT program. Also, the application of HT program with continuously interest will be showed high improvement of physical, psychological and sentimental. In the course of this HT program progress, horticultural therapist and social welfare officer were showed the limitation of role. Therefore the leaders of group for successful HT program be required the comprehensive plan of more efficient HT program and induced technique of continuously up-phased improvements in HT program progress.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
/
v.14
no.1
/
pp.187-198
/
2019
The purpose of this study is to seek ways of utilizing TLBMC by understanding business model of social ventures that are accompanied by social and environmental as well as economic missions. In order to achieve this, business models from economic, environmental and social perspectives will be analyzed, and we seek to enhance sustainability of social venture entrepreneurs. As the analysis tool, TLBMC(Triple Layered Business Model Canvas) expands upon the business model canvas that is widely utilized and recognizes economical terms. The TLBMC is proposed by Joyce, A., & Paquin, R. L.(2016) to help achieve a holistic view with horizontal and vertical associations. The study tries to overcome limitations of previous studies and observe a variety of economic, environmental, and social perspectives that social ventures should have with the TLBMC. As a result, it has the following implications; Firstly, creating separate social, environmental and economic business model canvas helps a business to have a holistic approach. Secondly, it was found that social venture characteristics of environmental and social perspectives were applied in practice. Lastly, we have established experience data on social venture business model. This study focuses on the opinions, the meanings and the subjective views of the participants. As a result, conclusions are drawn by the researchers ' assertions and has limitations as a research on case studies. However, this study will help people who are preparing or studying social ventures to have economic, environmental, and social perspectives. Also, redefinition of the direction and value of entrepreneurs operating social ventures, such as vision and mission, will help clarify the roles and responsibility of organizations. As a fundamental step for future empirical studies, this study could be the base for social venture business model studies.
Journal of Korean Society of Coastal and Ocean Engineers
/
v.31
no.3
/
pp.115-128
/
2019
In this study, a probabilistic model for the estimation of yearly workable wave condition period for offshore operations is developed. In doing so, we first hindcast the significant wave heights and peak periods off the Ulsan every hour from 2003.1.1 to 2017.12.31 based on the meteorological data by JMA (Japan Meterological Agency) and NOAA (National Oceanic and Atmospheric Administration), and SWAN. Then, we proceed to derive the long term significant wave height distribution from the simulated time series using a least square method. It was shown that the agreements are more remarkable in the distribution in line with the Modified Glukhovskiy Distribution than in the three parameters Weibull distribution which has been preferred in the literature. In an effort to develop a more comprehensive probabilistic model for the estimation of yearly workable wave condition period for offshore operations, wave height distribution over the 15 years with individual waves occurring within the unit simulation period (1 hour) being fully taken into account is also derived based on the Borgman Convolution Integral. It is shown that the coefficients of the Modified Glukhovskiy distribution are $A_p=15.92$, $H_p=4.374m$, ${\kappa}_p=1.824$, and the yearly workable wave condition period for offshore work is estimated to be 319 days when a threshold wave height for offshore work is $H_S=1.5m$. In search of a way to validate the probabilistic model derived in this study, we also carry out the wave by wave analysis of the entire time series of numerically simulated significant wave heights over the 15 years to collect every duration periods of waves the height of which are surpassing the threshold height which has been reported to be $H_S=1.5m$ in the field practice in South Korea. It turns out that the average duration period is 45.5 days from 2003 to 2017, which is very close to 46 days from the probabilistic model derived in this study.
Korean Journal of Agricultural and Forest Meteorology
/
v.21
no.2
/
pp.85-96
/
2019
Solar radiation is an important variable for estimation of energy balance and water cycle in natural and agricultural ecosystems. A deep neural network (DNN) model has been developed in order to estimate the daily global solar radiation. Temperature and precipitation, which would have wider availability from weather stations than other variables such as sunshine duration, were used as inputs to the DNN model. Five-fold cross-validation was applied to train and test the DNN models. Meteorological data at 15 weather stations were collected for a long term period, e.g., > 30 years in Korea. The DNN model obtained from the cross-validation had relatively small value of RMSE ($3.75MJ\;m^{-2}\;d^{-1}$) for estimates of the daily solar radiation at the weather station in Suwon. The DNN model explained about 68% of variation in observed solar radiation at the Suwon weather station. It was found that the measurements of solar radiation in 1985 and 1998 were considerably low for a small period of time compared with sunshine duration. This suggested that assessment of the quality for the observation data for solar radiation would be needed in further studies. When data for those years were excluded from the data analysis, the DNN model had slightly greater degree of agreement statistics. For example, the values of $R^2$ and RMSE were 0.72 and $3.55MJ\;m^{-2}\;d^{-1}$, respectively. Our results indicate that a DNN would be useful for the development a solar radiation estimation model using temperature and precipitation, which are usually available for downscaled scenario data for future climate conditions. Thus, such a DNN model would be useful for the impact assessment of climate change on crop production where solar radiation is used as a required input variable to a crop model.
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