• KOREAN JOURNAL OF CROP SCIENCE
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• v.24 no.1
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• pp.92-98
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• 1979

Korean local corn lines from various regions in the country were studied for the plant characters such as flowering days. plant height. growth rate. number of ears per plant. leaf size. brace roots and tillers. All the lines without exception were different in plant characters studied and the difference were also apparent among regions from where the original lines were obtained. The variation among lines and original regions indicated that the plant characters were quite dependent upon the magnitude of traditional cultural practices and other environmental factors such as precipitation or cropping systems in regions concerned.

• Journal of Korea Multimedia Society
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• v.11 no.2
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• pp.175-181
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• 2008

A 2 dimensional quality function for quantifying the quality of images observed at viewing regions in contact-type multiview 3 dimensional imaging systems is devised and its effectiveness is verified experimentally. The function allows calculating the locations of viewing regions for patched images of any number of different view images. The images observed at the calculated regions reveal that different parts of the display panel of the system project different view images and match with the function's prediction.

• Journal of Life Science
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• v.8 no.3
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• pp.279-284
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• 1998

The nucleotide sequences of the 5'-untraslated region(5'-UTR) of Hepatitis G virus(HGV) from sera of Korean patients were determines. When compared to the previously reported isolates, the Korean isolates have higher sequence homology with the Japanese isolates indicating the geographic distribution of HGV variants. Interestingly, three discrete regions which are highly conserved among HGV isolates from the same geographical area, thus could be applied to distinguish HGV isolates from the different areas were noticed in the 5'-UTR. Based on the sequences of these group-specific regions, twenty four different HGV isolates could be classified into 5 groups. By using the group-specific regions, inconsistency in HGV typing when based on the different regions of HGV could be solved.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.47 no.5
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• pp.611-621
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• 2014

A nationwide survey was conducted to study the rate of Kudoa septempunctata parasitization in cultured olive flounder, Paralichthys olivaceus, in Korea in 2013. Of 1107 olive flounder sampled randomly from 89 culture farms in five different regions in Korea, K. septempunctata was detected only in Jeju, where 10 of 318 fish (3.14%) were PCR positive, with genomic concentrations of $4.67{\times}10^5$ to $1.48{\times}10^{11}$ rDNA copies/g by real-time PCR. Of the ten Kudoapositive fish, K. septempunctata spores with 5-7 polar capsules were detected only in four fish. No samples of K. septempunctata were detected in olive flounder from the other regions surveyed. Furthermore, K. septempunctata was not detected in 326 samples of olive flounder seeds sampled from 39 hatcheries in seven different regions in Korea. Therefore, the parasite infection is restricted to Jeju and K. septempunctata infection is not spread from hatcheries.

• Journal of Plant Biotechnology
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• v.44 no.3
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• pp.235-242
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• 2017

Cudrania tricuspidata Bureau is a widely-used, medicinal, perennial and woody plant. Obtaining information about the genetic diversity of plant populations is highly important with regard toconservation and germplasm utilization. Although C. tricuspidata is an important medicinal plant species registered in South Korea, no molecular markers are currently available to distinguish Korean-specific ecotypes from other ecotypes from different countries. In this study, we developed single nucleotide polymorphism (SNP) markers derived from the chloroplast and nuclear genomic sequences, which serve to to identify distinct Korean-specific ecotypes of C. tricuspidata via amplification refractory mutation system (ARMS)-PCR and high resolution melting (HRM) curve analyses. We performed molecular authentication of twelve C. tricuspidata ecotypes from different regions using DNA sequences in the maturaseK (MatK) chloroplast intergenic region and nuclear ribosomal DNA internal transcribed spacer (ITS) regions. The SNP markers developed in this study are useful for rapidly identifying specific C. tricuspidata ecotypes from different regions.

• Natural Product Sciences
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• v.28 no.4
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• pp.181-186
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• 2022

A germacrane-type sesquiterpenoid was isolated and purified from a methanol extract of the roots of Valeriana fauriei (RVF) through open column chromatography using silica gel. This compound was verified to be heishuixiecaoline A by spectroscopic analysis. This compound was isolated for the first time from RVF. Quantitative analysis of heishuixiecaoline A from RVF cultivated from three different regions (Eumseong, Jinbu, and Jinan regions) was performed by combining high-performance liquid chromatography with a photodiode array detector. The extract of RVF cultivated in the Jinbu region showed the highest content (9.23 mg/g). In addition, a significant amount of the compound was detected in all RVF samples, which could be expected since it is a characteristic compound of RVF. The sesquiterpenoid group heishuixiecaoline A was isolated from RVF, a resource for various pharmacological substances, and quantitative analysis of RVF cultivated from three different regions was performed. As a result of these experiments, basic data on RVF that can be used in the development and application of pharmaceuticals and health functional foods in the future were obtained.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.2
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• pp.50.2-50.2
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• 2010

Magnetic helicity injection in 28 solar active regions producing 46 CMEs was investigated to find its relationship with the occurrence and speed of CMEs. The helicity injection in the active regions under investigation was calculated using full-disk 96 minute MDI magnetograms. The major findings of this study are as follows. First, the 46 CMEs are categorized into two different groups by two characteristic evolution patterns of helicity injection in their active regions: (1) a monotonically increasing of helicity accumulation (Group A; 30 CMEs in 23 active regions) and (2) significant helicity injection followed by its sign reversal (Group B; 16 CMEs in 5 active regions). Second, a fairly good correlation between the helicity injection rate and the CME speed is found for the 30 CME events in Group A. Further statistical studies, however, are needed to check whether the two characteristic helicity patterns are shown in other CME-productive active regions.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.3
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• pp.169-178
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• 2018

This study aims is to explore of the theoretical concepts of regional imbalances and spatial inequality, analysis of spatial distribution of economic growth and identifying of "growth poles" for sustainable development in the regions of Kazakhstan. Based on the theoretical views, we conclude that the key direction of regional policy is the search and development of "growth poles", which will distribute their potential equally to backward regions. The authors propose the methodological tools for presenting a standard form of evaluation of spatial distribution and inequality of the regions of Kazakhstan. This study confirms the importance of using of proposed methods and its application for objectively and realistically defines "growth poles" for sustainable development. Further, the obtained results showed the distribution of Kazakhstan's regions by economic growth and specialization with using modified index of KDI. According to the results of this theoretical and empirical study proved that distribution of the regions of Kazakhstan and results of KDI indexes shows that the spatial differentiation of economic development, but its level and dynamics are different in different respects. In addition, according to the conducted survey, we conclude that one of the most important tasks is sustainable growth based on "growth poles" for sustainable development.

• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.101-112
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• 2017

We investigated the neural representation of reward probability recognition and its neural connectivity with other regions of the brain. Using functional magnetic resonance imaging (fMRI), we used a simple guessing task with different probabilities of obtaining rewards across trials to assay local and global regions processing reward probability. The results of whole brain analysis demonstrated that lateral prefrontal cortex, inferior parietal lobe, and postcentral gyrus were activated during probability-based decision making. Specifically, the higher the expected value was, the more these regions were activated. Fronto-parietal connectivity, comprising inferior parietal regions and right lateral prefrontal cortex, conjointly engaged during high reward probability recognition compared to low reward condition, regardless of whether the reward information was extrinsically presented. Finally, the result of a regression analysis identified that cortico-subcortical connectivity was strengthened during the high reward anticipation for the subjects with higher cognitive impulsivity. Our findings demonstrate that interregional functional involvement is involved in valuation based on reward probability and that personality trait such as cognitive impulsivity plays a role in modulating the connectivity among different brain regions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.232-248
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• 2014

A series of kernel regression (KR) algorithms, such as the classic kernel regression (CKR), the 2- and 3-D steering kernel regression (SKR), have been proposed for image and video super-resolution. In existing KR frameworks, a single algorithm is usually adopted and applied for a whole image/video, regardless of region characteristics. However, their performances and computational efficiencies can differ in regions of different characteristics. To take full advantage of the KR algorithms and avoid their disadvantage, this paper proposes a kernel regression framework for video super-resolution. In this framework, each video frame is first analyzed and divided into three types of regions: flat, non-flat-stationary, and non-flat-moving regions. Then different KR algorithm is selected according to the region type. The CKR and 2-D SKR algorithms are applied to flat and non-flat-stationary regions, respectively. For non-flat-moving regions, this paper proposes a similarity-assisted steering kernel regression (SASKR) algorithm, which can give better performance and higher computational efficiency than the 3-D SKR algorithm. Experimental results demonstrate that the computational efficiency of the proposed framework is greatly improved without apparent degradation in performance.