• Horticultural Science & Technology
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• v.34 no.2
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• pp.305-313
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• 2016

Brassica juncea (2n = 4x = 36, AABB genome, 1,068 Mb) is a U's triangle species and an amphidiploid derivative of B. rapa and B. nigra. Fifteen varieties were used to study the ITS (internal transcribed spacer) regions of ribosomal DNA and MITEs (miniature inverted-repeat transposable elements) with a view of developing specific molecular markers. ITSs and MITEs are an excellent resource for developing DNA markers for genomics and evolutionary studies because most of them are stably inherited and present in high copy numbers. The ITS (ITS1 and ITS2) sequence was compared with the consensus sequence of B. rapa and B. nigra. Variation in ITS1 created two separate groups among 15 varieties, with 10 varieties in one group and 5 in the other. Phylogenetic analysis revealed two major clusters for those 10 and 5 varieties. Among the 160 different MITE primers used to evaluate the selected 15 varieties of B. juncea, 70 were related to the Stowaway, 79 to the Tourist, 6 to the hAT, and 5 to the Mutator super-families of MITEs. Of 160 markers examined, 32 were found to be polymorphic when fifteen different varieties of B. juncea were evaluated. The variety 'Blackgat' was different from the other mustard varieties with respect to both phenotype and genotype. The diversity of 47 additional accessions could be verified using eight selected molecular markers derived from MITE family sequences. The polymorphic markers identified in this study can be used for varietal classification, variety protection, and other breeding purposes.

• Korean Journal of Remote Sensing
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• v.34 no.2_1
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• pp.267-282
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• 2018

Despite the continuous development of phenology detection studies using satellite imagery, verification through comparison with the field observed data is insufficient. Especially, in the case of Korean forests patching in various forms, it is difficult to estimate the start of season (SOS) by using only satellite images due to resolution difference. To improve the accuracy of vegetation phenology estimation, this study reconstructed the large scaled forest type map (1:5,000) with MODIS pixel resolution and produced time series vegetation phenology curves from Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) derived from MODIS images. Based on the field observed data, extraction methods for the vegetation indices and SOS for Korean forests were compared and evaluated. We also analyzed the correlation between the composition ratio of forest types in each pixel and phenology extraction from the vegetation indices. When we compared NDVI and EVI with the field observed SOS data from the Korea National Arboretum, EVI was more accurate for Korean forests, and the first derivative was most suitable for extracting SOS in the phenology curve from the vegetation index. When the eight pixels neighboring the pixels of 7 broadleaved trees with field SOS data (center pixel) were compared to field SOS, the forest types of the best pixels with the highest correlation with the field data were deciduous forest by 67.9%, coniferous forest by 14.3%, and mixed forest by 7.7%, and the mean coefficient of determination ($R^2$) was 0.64. The average national SOS extracted from MODIS EVI were DOY 112.9 in 2014 at the earliest and DOY 129.1 in 2010 at the latest, which is about 0.16 days faster since 2003. In future research, it is necessary to expand the analysis of deciduous and mixed forests' SOS into the extraction of coniferous forest's SOS in order to understand the various climate and geomorphic factors. As such, comprehensive study should be carried out considering the diversity of forest ecosystems in Korea.

• Cartoon and Animation Studies
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• s.40
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• pp.521-549
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• 2015

We recognize all objects by seeing. However, we are not sure that the things we see through our eyes are their essence. Here comes my question: What does it mean that humans see and recognize things? The things we see are images and so I consider recognizing an object as semiosis via our visual sensation and brain. That is because objects are defined not by their essence but as symbols we recognize. In the era of post-modernism art is a voluntary creative activity that creates a kind of spiritual value and plays an important role for appreciators who realize the fact to enjoy the life value. This paper focused on the art putting aesthetic value on humans' recognition and explored works of art in a visually perceptible way through semiosis. That is because art, an act of creating things, is symbolic and closely linked to semiotic system. Furthermore, derivative visual signs can be considered to be in line with the viewers' visual perception. If we interpreted by recognizing the works of art along with symbol, we can enjoy the works in depth through recognizing their color or shape. Therefore, I intended to discourse on color perception focusing on colors in order to analyze the relationship between art and symbol in the process of recognizing works of art. This paper looked into background of color recognition, status of colors and ways of expression for impressionist who painted with various colors and examined colors as a sensory language. In the process of interpreting art works by communication between the artist and viewers, the role of color is considered as visual symbol through the artist's experience, consciousness, emotions, and their senses. It can be interpreted the visual language through signification of the symbols when the colors are formed in works of art as a recognizable space. Therefore we expect to study in the Visual arts to be the colors symbolic analysis is extended to more effective communication tool.

• Journal of Oral Medicine and Pain
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• v.35 no.3
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• pp.165-175
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• 2010

Valproic acid (VPA) is a well-known anticonvulsive agent and has been used in the treatment of epilepsy for almost 30 years. VPA emerged in 1997 as an antineoplastic agent as well, when findings indicated the substance inhibited proliferation and induced differentiation of primitive neuroectocdermal tumor cells in vivo (Cinatl et al., 1997). Antitmor activity of VPA is associated with its targeting histone deacetylases. Bile acids and their synthetic derivatives induced apoptosis in various kinds of cancer cells and anticancer effects. It has been reported that the synthetic chenodeoxycholic acid (CDCA) derivatives showed apoptosis-inducing activity on various cancer cells in vitro. This study was undertaken to investigate the synergistic apoptotic effect of co-treatment with the histone deacetylases inhibitor, VPA and a CDCA derivative, HS-1200 on human osteosarcoma (HOS) cells. Cell viability was evaluated by trypan-blue exclusion. Induction and augmentation of apoptosis were confirmed by Hoechst staining, flow cytometry (DNA hypoploidy and MMP change), Westen blot analysis and immunofluorescent staining. In this study, HOS cells co-treated with VPA and HS-1200 showed several lines of apoptotic manifestation such as nuclear condensations, the reduction of MMP, the decrease of DNA content, the release of cytochrome c into cytosol, the translocation of AIF onto nuclei, and activation of caspase-7, caspase-3 and PARP whereas each single treated HOS cells did not. Although the single treatment of 1 mM VPA or $25\;{\mu}M$ HS-1200 for 48 h did not induce apoptosis, the co-treatment of them induced prominently apoptosis. Therefore our data provide the possibility that combination therapy of VPA and HS-1200 could be considered as a novel therapeutic strategy for human osteosarcoma.

• Journal of Mushroom
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• v.13 no.3
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• pp.217-222
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• 2015

This study was conducted to obtain a growth correlation of basal information from the development of disease resistant Flammulina velutipes cultivars through back-crossing between the strains of wild-type brown monokaryon 4019-20 and the derivative of commercial quality white monokaryons 3. The two strains were selected to back-cross for further enhancing their latent attributes and growth characteristics. The parents of 4019-$20{\times}M3$ back-crossed to reproduce $F_1$, M3-Sn. Using $F_1$, M3-Sn procured and isolated into 94 monokaryon strains. Further examination of growth characteristics carried out by back-crossing between M3 and $BC_1F_1$ from M3-n dikaryon. Monokaryon exhibited an irregular growth pattern and demonstrated to be sluggish development in the sawdust medium. However $BC_1F_1$(M3-n) dikaryon strains confirmed mostly regular growth pattern and demonstrated ordinary growth in the sawdust medium. The fruitbody of $BC_1F_1$ confirmed as light-brown colour to be the dominant gene. The colour distributions of fruitbody, $BC_1F_1$, resulted as follows; 7% of dark brown, 25% of brown, 27% of light brown, 16% of ivory and 25% of white. The ratio of the other color to white showed 3 to 1 which suggested two major genes were related to fruitbody color.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.6
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• pp.968-974
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• 2010

We assessed the feasibility of discrete wavelet transform (DWT) applied for the spectral processing to enhance the estimation performance quality of soil organic matters using visible-near infrared spectra and mapped their distribution via block Kriging model. Continuum-removal and $1^{st}$ derivative transform as well as Haar and Daubechies DWT were used to enhance spectral variation in terms of soil organic matter contents and those spectra were put into the PLSR (Partial Least Squares Regression) model. Estimation results using raw reflectance and transformed spectra showed similar quality with $R^2$ > 0.6 and RPD> 1.5. These values mean the approximation prediction on soil organic matter contents. The poor performance of estimation using DWT spectra might be caused by coarser approximation of DWT which not enough to express spectral variation based on soil organic matter contents. The distribution maps of soil organic matter were drawn via a spatial information model, Kriging. Organic contents of soil samples made Gaussian distribution centered at around 20 g $kg^{-1}$ and the values in the map were distributed with similar patterns. The estimated organic matter contents had similar distribution to the measured values even though some parts of estimated value map showed slightly higher. If the estimation quality is improved more, estimation model and mapping using spectroscopy may be applied in global soil mapping, soil classification, and remote sensing data analysis as a rapid and cost-effective method.