The purpose of this study is to enrich our understanding of the family utilizing childcare by grandmothers and the elderly women by examining the experience of grandmothers who refused to support raising their grandchildren. The researcher focused on grandmothers who have been in charge of caring the family in the main and tried to explore the reasons for their decision not to take care of their grandchildren. For the purpose, Research participants were seven elderly women who have refused raising of their grand-children. Data were collected by in-depth interview and analyzed based on the phenomenological method. As results, it turned out that the elderly women refused caring of their grandchildren due to the burden of parenting and the rejection of an extended mother role, and the fear of family conflicts, but they felt sorry about their refusal of a request for caring support from their adult children. Second. these decisions caused various dynamics of the family members, and they were experiencing psychological difficulties. Third, elderly women perceived raising of grandchildren as a task of adult children or a problem for which the society should be accountable, and felt that the family and the society have shifted the responsibility to them. This research result confirms that a new generation of the elderly women have emerged who have different viewpoints on caregiving. It also presents a necessity to reflect the viewpoints of elderly who are mainly concerned when establishing a policy of caregiving. Based on this finding, this study also presents implications regarding support for family utilizing childcare by grandmothers and support for the elderly women.
This paper makes an effort to compare the recently evolved soft classification method based on Linear Spectral Mixture Modeling (LSMM) with the traditional hard classification methods based on Iterative Self-Organizing Data Analysis (ISODATA) and Maximum Likelihood Classification (MLC) algorithms in order to achieve appropriate results for mapping, monitoring and preserving valuable coastal wetland ecosystems of southern India using Indian Remote Sensing Satellite (IRS) 1C/1D LISS-III and Landsat-5 Thematic Mapper image data. ISODATA and MLC methods were attempted on these satellite image data to produce maps of 5, 10, 15 and 20 wetland classes for each of three contrast coastal wetland sites, Pitchavaram, Vedaranniyam and Rameswaram. The accuracy of the derived classes was assessed with the simplest descriptive statistic technique called overall accuracy and a discrete multivariate technique called KAPPA accuracy. ISODATA classification resulted in maps with poor accuracy compared to MLC classification that produced maps with improved accuracy. However, there was a systematic decrease in overall accuracy and KAPPA accuracy, when more number of classes was derived from IRS-1C/1D and Landsat-5 TM imagery by ISODATA and MLC. There were two principal factors for the decreased classification accuracy, namely spectral overlapping/confusion and inadequate spatial resolution of the sensors. Compared to the former, the limited instantaneous field of view (IFOV) of these sensors caused occurrence of number of mixture pixels (mixels) in the image and its effect on the classification process was a major problem to deriving accurate wetland cover types, in spite of the increasing spatial resolution of new generation Earth Observation Sensors (EOS). In order to improve the classification accuracy, a soft classification method based on Linear Spectral Mixture Modeling (LSMM) was described to calculate the spectral mixture and classify IRS-1C/1D LISS-III and Landsat-5 TM Imagery. This method considered number of reflectance end-members that form the scene spectra, followed by the determination of their nature and finally the decomposition of the spectra into their endmembers. To evaluate the LSMM areal estimates, resulted fractional end-members were compared with normalized difference vegetation index (NDVI), ground truth data, as well as those estimates derived from the traditional hard classifier (MLC). The findings revealed that NDVI values and vegetation fractions were positively correlated ($r^2$= 0.96, 0.95 and 0.92 for Rameswaram, Vedaranniyam and Pitchavaram respectively) and NDVI and soil fraction values were negatively correlated ($r^2$ =0.53, 0.39 and 0.13), indicating the reliability of the sub-pixel classification. Comparing with ground truth data, the precision of LSMM for deriving moisture fraction was 92% and 96% for soil fraction. The LSMM in general would seem well suited to locating small wetland habitats which occurred as sub-pixel inclusions, and to representing continuous gradations between different habitat types.
The purpose of this paper is to extract fast DEM (Digital Elevation Model) using satellite images. DEM extraction consists of three parts. First part is the modeling of satellite position and attitude, second part is the matching of two images to find corresponding points of them and third part is to calculate the elevation of each point by using the results of the first and second part. The position and attitude modeling of satellite is processed by using GCPs. A area based matching method is used to find corresponding points between the stereo satellite images. The elevation of each point is calculated using the exterior orientation parameters obtained from modeling and conjugate points from matching. In the DEM generation system, matching procedure holds most of a processing time, therefore to reduce the time for matching, a new fast matching algorithm using gradient correlation and fast similarity measure calculation method is proposed. In this paper, the SPOT satellite images, level 1A 6000$\times$6000 panchromatic images are used to extract DEM. The experiment result shows the possibility of fast DEM extraction with the satellite images.
Kim, Se Hee;Nam, Eun Young;Cho, Kang Hee;Jun, Ji Hae;Chung, Kyeong Ho
Korean Journal of Plant Resources
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v.32
no.4
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pp.303-311
/
2019
Various colors of fruit skin and flesh are the most popular commercial criteria for peach classification. In order to breed new red-fleshed peach cultivar, many cross seedlings and generations should be maintained. Therefore it is necessary to develop early selection markers to screen seedlings with target traits to increase breeding efficiency. For the comparison of transcription profiles in peach cultivars differing in flesh color expression, two cDNA libraries were constructed. Differences in gene expression between red-fleshed peach cultivar, 'Josanghyeoldo' and white-fleshed peach cultivar, 'Mibaekdo' were analyzed by next-generation sequencing (NGS). Expressed sequence tag (EST) of clones from the two cultivars were selected for nucleotide sequence determination and homology searches. Putative single nucleotide polymorphisms (SNP) were screened from peach EST contigs by high resolution melting (HRM) analysis displayed specific difference between 8 red-fleshed peach cultivars and 24 white-fleshed peach cultivars. All 72 pairs of SNPs were discriminated and the HRM profiles of amplicons were established. In the study reported here, the development of SNP markers for distinguishing between red and white fleshed peach cultivars by HRM analysis offers the opportunity to use DNA markers. This SNP marker could be useful for peach marker assisted breeding and provide a good reference for relevant research on molecular mechanisms of color variation in peach cultivars.
In this study, in order to solve the problem of the program of calculating code input by experienced users in the power generation, the wide area energy network research group developed the local heating operation analysis program EntPLAN, which can be easily used by anyone, including scalability, with domestic technology. Therefore, the Commission intended to compare the heat sources, heat demand, and the results of operation of the combined heat plant (CHP) on the energy network through simulation with the EnetPLAN and the program A on the market. The results showed that the heat and power output on the energy network of the EnetPLAN and A programs were mostly similar in pattern in the simulation results of the heat supply and the operation method of the accumulator. This enabled the application of the simulation for the various operation modes of the cogeneration facilities existing on the energy network. It is expected that EntPLAN, which was developed with domestic technology, will be easily applied in the field in the future and will present efficient operation simulation results.
Journal of the Society of Cosmetic Scientists of Korea
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v.36
no.1
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pp.79-87
/
2010
Ultraviolet is the one of the main environmental factors promoting aging process via increased intracellular generation of reactive oxygen species (ROS) and decreased expression of endogenous antioxidant enzymes and molecules. Therefore, in this study, we tried to search for natural skin-protective antioxidant materials from marine origins (Porphyra Thalli, Laminariae japonicae thallus, Ostreae Concha, Sargassum Thallus, Undaria thallus, Haliotidis Concha, Codium thalli, Syngnathoides biaculeatus, Hippocampus, Stichopus Stichopus, Thalli, Hizikia fusiforme thalli) which exhibit free radical scavenging activity and protect against UVB-induced cytotoxicity and oxidative cell death. Free radical scavenging activity was shown in order of Undaria thallus. Sargassum Thallus, Laminariae japonicae thallus, Hippocampus, Haliotidis Concha, Ostreae Concha, Syngnathoides biacuJeatus. In another experiment, UVB-induced cytotoxicity and cell death were effectively suppressed by treatment of Sargassum Thallus, Haliotidis Concha, Codium thalli, or Hippocampus water extract. Furthermore, UVB-induced cell death was mediated by intracellular accumulation or ROS, which was significantly inhibited by treatment with aforementioned extracts. The protective effect of these marine natural products seemed to be mediated by increased expression of antioxidant enzymes such as catalase, superoxide dismutase, and heme oxygenase-1. These results suggest that Sargassum Thallus, Haliotidis Concha, Codium thalli, and Hippocampus may have preventive and protective potentials as new functional cosmetics against oxidative stress-mediated skin damages and aging with antioxidant properties.
This study was conducted to provide primary data through analysis of zoysia grass genetic resources to develop grass cultivars with beneficial novel properties. Zoysia grass (Zoysia. spp) is native to Korea, and is mainly propagated through stolons. However, since seed coat treatment technology was developed, the breeding of sexually reproductive grass variants has become possible, necessitating characterization of the floret appearance rate in the secured zoysia grass genetic resource before developing sexually reproductive cultivars. In this experiment, 549 grass lines were examined, revealing that florets appear in only 43 lines (7.81%). Survival rates after transplantation, and stolon generation rates displayed a significant positive correlation (Rho = 0.44). Survival rates after transfer, and rates of stolon production displayed very low correlations with floret appearance (Rho = -0.11 and Rho = -0.06). No significant results were obtained in 43 lines that displayed >20% floret appearance. To breed sexually reproductive grass variants, it is thus necessary to secure more genetic resources, considering the low rate of floret appearance. Finding traits that predict floret appearance at an early stage is also required.
Purpose: The purpose is to establish a safe facility environment from abnormal voltages such as lightning by developing a smart land resistance measuring device that can acquire real-time land resistance data using Arduino. Method: This paper studied design models and application cases by developing a land resistance acquisition and analysis system with Arduino and a power line communication (PLC) system. Some sites in the wind power generation complex in Gyeongsangnam-do were selected as test beds, and real-time land resistance data applied with new technologies were obtained. The electrode arrangement adopted a smart electrode arrangement using a combination of a Wenner four electrode arrangement and a Schlumberger electrode arrangement. Result: First, the characteristic of this technology is that the depth of smart multi-electrodes is organized differently to reduce the error range of the acquired data even in the stratigraphic structure with specificity between floors. Second, IT convergence technology was applied to enable real-time transmission and reception of information on land resistance data acquired from smart ground electrodes through the Internet of Things. Finally, it is possible to establish a regular management system and analyze big data accumulated in the server to check the trend of changes in various elements, and to model the optimal ground algorithm and ground system design for the IT convergence environment. Conclusion: This technology will reduce surge damage caused by lightning on urban infrastructure underlying the 4th industrial era and design an optimized ground system model to protect the safety and life of users. It is also expected to secure intellectual property rights of pure domestic technology to create jobs and revitalize our industry, which has been stagnant as a pandemic in the post-COVID-19 era.
This paper focuses on three novels that reflect absence of family. Conflicts caused by absence of parents or lack of function and role of parents were principle drivers fueling growth novels. In Chinese growth novels, children in a long-standing tradition of emulsion and political pressure were unable to express their conflict with parents. Out of the collective interest and only until the late 1980s, which can be found of the individuals were able to fully appreciate the growth of children. Since the late 1990s, the creative individual cases to the growth is an important point of Chinese growth. Due to a close relationship of the literature and politics further noteworthy that the growth of state for personal growth for China's growth. Reform and opening up the end of the Cultural Revolution, the emergence of new generation of cultural sensitivity with a relatively free personal attention to the growth of the chance that can be. In this paper, created since the 1990s, the growth of the stories of yuhua (余華)'s "Cry in the Rain"("在細雨中呼喊"), sutong(蘇童)'s "The Northern Part of the City"("城北地帶"), wanggang(王剛)'s "English"("英格力士"), going to go through by focusing on how to respond in the lack of family. "Cry in the Rain" shows that a consciousness orphan child abandoned main actors 'consciousness from his birth parents and adoptive parents. "The Northern Part of the City" chronicles different growth stories of children who experienced a void because of their absent families and found comfort in peer groups. "English" is distinguished from the mainstream narrative of Chinese growth in terms of creating a role model. Individual growth through the role model in that it will eventually establish their own identities and further growth. Because of that, this novel is considered best practices of Chinese growth novels. This kind of narrative, which returns to the memory of the growth of growth, has a richer connotation amid various attempts by writers out of the past era of obsession and fatigue.
Kim, Cheol-Woo;Kim, Hwa-Young;Lee, Eul-Tai;Choi, In-Hu;Bang, Jin-Ki
Korean Journal of Breeding Science
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v.41
no.4
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pp.463-467
/
2009
Interspecific hybrid plants between Allium cepa L. (2n=2X=16) and A. fistulosum L. (2n=2X=16)and their backcross lines were developed by artificial pollination in order to introduce new desirable characters of A, cepa to A. fistulosum. The 2C nuclear DNA content has been estimated by flow cytometry in 5 Allium fistulosum inbreed lines, 2 interspecific hybrid lines of A. cepa${\times}$A. fistulosum and 34 their backcross lines $BC_1F_1$ to $BC_2F_2$, using propidium iodide (PI) as a fluorescence dye. Estimated 2C DNA values ranged from 22.2 pg to 23.7 pg in 5 A. fistulosum inbreed lines, 37.9 pg in F1 hybrid between A. cepa and A. fistulosum, 24.3 pg to 27.3 pg in 7 backcross lines in $BC_1F_1$, 21.9 pg to 24.4 pg in 9 $BC_1F_2$, 22.9 pg to 25.1 pg in 14 $BC_2F_1$, 22.6 pg to 23.4 pg in 4 $BC_2F_2$. This study showed mean 2C nuclear DNA content of $F_1$ hybrid was higher than their backcross progeny lines, while it was lower than female parental line, A. cepa (2C DNA=33.2 pg). Mean 2C DNA content of backcross lines, $BC_1F_1$ to $BC_2F_2$ was not significantly different but their 2C DNA contents in the more progress generation from $BC_1F_1$ to $BC_2F_2$ were reduced.
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