• Plant Resources
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• v.1 no.1
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• pp.43-48
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• 1998

The objective of this study was to determine how elevated $CO_2$ and temperature affected early growth and competition between direct seeded rice (Oryza sativa) and a common paddy weed (Echinochloa glabrascens). By using temperature gradient chambers. Rice and E. glabrescens were grown for 5 weeks at ratios of 1:0. 3:1 and 0:1 at three temperatures ($16.4^{\circ}C,\;19.8^{\circ}C,\;and\;22.2^{\circ}C$) and either in ambient (361ppm) or elevated (566ppm) $CO_2$. For both species. elevated $CO_2$ had no effect on mainstem leaf number while air temperature had a slight positive effect which was greater in E. glabrescens than rice. With elevated $CO_2$ rice leaf area index and plant height increased alightly in all species combinations but no increases were observed for E. Glabuescens. For rice in all combinations. elevated $CO_2$ tended to increase the rot and total biomass much more than any other growth parameters: the increases in root and total biomass resulting from elevated $CO_2$ ranged from 16% to 40%. depending on air temperature. At the lowest temperature, the decrease in rice biomass in combination with E. glabrescens was significantly greater at elevated $CO_2$ (18%) than ambient $CO_2$ (3%). At the highest temperature, however, the decrease in rice biomass at elevated $CO_2$ (22%) was less than that at ambient $CO_2$ (36%). The competitive ability of rice as measured by the decrease in biomass when grown in combination with E. glabrescens depended strongly on root growth and/or allocation. These results suggest that at higher temperatures elevated $CO_2$ could enhance the competitive ability of direct seeded rice during early growth. However, at lower temperatures. the competitive ability of E. glabrescens seems to be greater.

• Journal of Ginseng Research
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• v.40 no.3
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• pp.285-291
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• 2016

Background: Ginsenosides have been shown to exert beneficial pharmacological effects on the central nervous, cardiovascular, and endocrine systems. We sought to determine whether total ginsenosides (TG) inhibit monocrotaline (MCT)-induced pulmonary hypertension and to elucidate the underlying mechanism. Methods: MCT-intoxicated rats were treated with gradient doses of TG, with or without $N^G$-nitro-$\small{L}$-arginine methyl ester. The levels of molecules involving the regulation of nitric oxide and mitogen-activated protein kinase pathways were determined. Results: TG ameliorated MCT-induced pulmonary hypertension in a dose-dependent manner, as assessed by the right ventricular systolic pressure, the right ventricular hypertrophy index, and pulmonary arterial remodeling. Furthermore, TG increased the levels of pulmonary nitric oxide, endothelial nitric oxide synthase, and cyclic guanosine monophosphate. Lastly, TG increased mitogen-activated protein kinase phosphatase-1 expression and promoted the dephosphorylation of extracellular signal-regulated protein kinases 1/2, p38 mitogen-activated protein kinase, and c-Jun NH2-terminal kinase 1/2. Conclusion: TG attenuates MCT-induced pulmonary hypertension, which may involve in part the regulation of nitric oxide and mitogen-activated protein kinase pathways.

• The Korean Journal of Ecology
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• v.18 no.1
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• pp.121-136
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• 1995

The forest vegetation on Mt. Ch’ongnyang was investigated for phytosociological analysis of the vegetation types and interspecific association. The forest was classified into seven vegetation units; A: Quercus Mongolica community, A-1: Group of Quercus variabilis, A-1-a: Subgroup of Pinus densiflora, A-1-b: Typical subgroup, A-2: Group of Aconitum trilobum, A-3: Group of Quercus dentata, B: Zelkova serrata communty. The group of Quercus variabilis was distributed on southeast- and southwest-facing slopes in 400~830 m above the sea level, and organic matter in the soil was 3.36~4.67％. The group of Aconitum trilobum was distributed on northeast- and northwest-facing slopes in 650~830 m above the sea level, and organic matter in the soil was 7.18％. The group of Quercus dentata was distributed on southwest-facing solpes in the vicinity of 810 m above the sea level, and organic matter in the soil was 9.7％. The Zelkova serrata community was distributed in the vicinity of ravines, and organic matter in the soil was 7.6％. The contents of Mg and Ca, and electric conductivity in the Zelkova serrata community were relatively high, 11.82 me/100mg, and 11.27 me/100mg, 102.2 μ mos/cm, respectively. In the results of polar ordination, environmental gradient of axis Ⅰ and axis Ⅱwere correlated with moisture, inclination and azimuth, respectively. Group of Quercus variabilis has occurred in xeric, group of Aconitum trilobum in submesic, and the Zelrova serrata community in mesic sites. In the meantime the interspecific association analysis based on chi-square yielded three species groupings with high positive affinity(p<0.01), i.e.group Ⅰ consisted of 18 species, including Acer pseudo-sieboldianum, Ansliaea acerifolia, Aconitum trilobum and group Ⅲ consisted of 19 species, in cluding Zelrova serrata, Oplismenus undulatifolius, Acer truncatum var. barbinerve, respectively.

• Korean Journal of Environment and Ecology
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• v.3 no.1
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• pp.28-41
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• 1989

A survey of Hongryu-Dong and Chi-in district. Gaya National Park, was conducted using 40 sample sites of 500$m^2$ size. TWINSPAN classification confirmed a complex pattern of both local and geographical variation in the vegetation: Dry and wet community types. Within dry community types, two floristic assocation of Pinus densiflora were defined according to local variation. Within wet community types. two floristic association were defined according to altitude. Those associations can be further subdivided floristically into eight subassociation. The vegetation pattern presented by DCA ordination corresponds to one of TWINSPAN at the first two division. The DCA ordination was successful in separating Pinus densiflora from broad leaf forest. Ordination of samples produced arrangements reflectly environmental gradient of soil. The correlation between the first axe of DCA and soil moisture, soil acid, altitude, maximum species diversity and species diversity was significantly negative. The similarity index between each community was very low level.

• Steel and Composite Structures
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• v.20 no.2
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• pp.227-249
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• 2016

The objective of this work is to present a zeroth-order shear deformation theory for free vibration analysis of functionally graded (FG) nanoscale plates resting on elastic foundation. The model takes into consideration the influences of small scale and the parabolic variation of the transverse shear strains across the thickness of the nanoscale plate and thus, it avoids the employ use of shear correction factors. Also, in this present theory, the effect of transverse shear deformation is included in the axial displacements by using the shear forces instead of rotational displacements as in available high order plate theories. The material properties are supposed to be graded only in the thickness direction and the effective properties for the FG nanoscale plate are calculated by considering Mori-Tanaka homogenization scheme. The equations of motion are obtained using the nonlocal differential constitutive expressions of Eringen in conjunction with the zeroth-order shear deformation theory via Hamilton's principle. Numerical results for vibration of FG nanoscale plates resting on elastic foundations are presented and compared with the existing solutions. The influences of small scale, shear deformation, gradient index, Winkler modulus parameter and Pasternak shear modulus parameter on the vibration responses of the FG nanoscale plates are investigated.

• Journal of Veterinary Clinics
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• v.37 no.4
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• pp.185-190
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• 2020

This retrospective, echocardiographic study using 144 dogs with clear systolic tricuspid regurgitation on Doppler echocardiography was performed to determine the diagnostic value of the systolic tricuspid regurgitation velocity/pulmonary artery flow velocity time integral to predict the Doppler estimates of dogs with tricuspid regurgitation pressure gradient compared with other cardiac indices of pulmonary hypertension, and to investigate a cutoff value to select patients with a potentially poor outcome. The systolic tricuspid regurgitation velocity/pulmonary artery flow velocity time integral increased significantly as the severity of pulmonary hypertension increased and had a correlation coefficient that was analogous to those of other conventional cardiac indices. A cutoff value greater 1.65 provided the best-balanced sensitivity (84%) and specificity (80%) in determining patients with a poor prognosis. In conclusion, the systolic tricuspid regurgitation velocity/pulmonary artery flow velocity time integral is readily obtained using routine echocardiography and could provide a non-invasive, novel, and supplementary index for evaluating dogs with pulmonary hypertension as useful prognostic criteria, particularly in those with advanced pulmonary hypertension.

• Journal of Plant Biology
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• v.27 no.2
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• pp.61-72
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• 1984

The concept of natural grouping of plant designated as the "Amentiferous" is no longer given serious credence, and many of the families included in this grouping have been dispersed in diverse order. Because a review of taxonomic treatments of amentiferous taxa reveals diverse classifications, it has become necessary to investigate new characteristics and attempt to determine the significance of these characteristics in terms of amentiferous taxonomy. Protein analyses by isoelectrofocusing(IEF) and rocket immunoelectrophoresis(RIE) have proved to be useful in the delicitation of Quercus taxa using pollen extracts from selected taxa. When Quercus pollen extracts were separated by electrophoresis based on their isoelectric points in a stable pH gradient and substrates for estrase activity were stained, ten bands were revealed between pH 5-14. Within Lepidobalanus grouping, a great diversity in the pollen protein zymograms was observed with some segregation corresponding to the designated taxonomic sections. Two taxa of Cyclobalanopsis produced a zymogram that is somewhat similar to taxa included within the section Prinus of Lepidobalanus, and less similar to taxa within the section Cerris of the same subgenus. Three tested taxa of the Cerris are in the similar zymogram each other, being segregable from the taxa of Prinus. Quantitative and qualitative analyses for serological relationships within and among th Quercus were also employed. To calculate the degree of protein similarity, total rocket heights obtained from RIE provided an index of serological correspondence(SC). It is reconfirmed that the Quercus is distantly separated from the Fagus according to SC. Comparative data from rocket number and SC in the tested taxa of Quercus also indicate that Lepidobalanus is separable from Cyclobalanopsis. Within the Lepidobalanus Q. acutissima and Q. acutissima x variabilis are almost homogeneors and distinguishable from the other tested taxa of same subgenus. Although the number of taxa tested has been limited, the overall serological evidence best reflects the classification proposed by Redher(1940) and Melchior (1964), having the genus Quercus subdivided into three subgunera: Erythrobalanus, Lepidobalanus, and Cyclobalanopsis.alanopsis.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.987-999
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• 2021

Recently, Federated learning has become an issue due to privacy invasion caused by data. Federated learning is safe from privacy violations because it does not need to be collected into a server and does not require learning data. As a result, studies on application methods for utilizing distributed devices and data are underway. However, Federated learning is no longer safe as research on the reconstruction attack to restore learning data from gradients transmitted in the Federated learning process progresses. This paper is to verify numerically and visually how well data reconstruction attacks work in various data situations. Considering that the attacker does not know how the data is constructed, divide the data with the class from when only one data exists to when multiple data are distributed within the class, and use MNIST data as an evaluation index that is MSE, LOSS, PSNR, and SSIM. The fact is that the more classes and data, the higher MSE, LOSS, and PSNR and SSIM are, the lower the reconstruction performance, but sufficient privacy invasion is possible with several reconstructed images.

• Smart Structures and Systems
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• v.23 no.2
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• pp.141-153
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• 2019

This research deals with wave propagation of the functionally graded (FG) nano-beams based on the nonlocal elasticity theory considering surface and flexoelectric effects. The FG nano-beam is resting in Winkler-Pasternak foundation. It is assumed that the material properties of the nano-beam changes continuously along the thickness direction according to simple power-law form. In order to include coupling of strain gradients and electrical polarizations in governing equations of motion, the nonlocal non-classical nano-beam model containg flexoelectric effect is used. Also, the effects of surface elasticity, dielectricity and piezoelectricity as well as bulk flexoelectricity are all taken into consideration. The governing equations of motion are derived using Hamilton principle based on first shear deformation beam theory (FSDBT) and also considering residual surface stresses. The analytical method is used to calculate phase velocity of wave propagation in FG nano-beam as well as cut-off frequency. After verification with validated reference, comprehensive numerical results are presented to investigate the influence of important parameters such as flexoelectric coefficients of the surface, bulk and residual surface stresses, Winkler and shear coefficients of foundation, power gradient index of FG material, and geometric dimensions on the wave propagation characteristics of FG nano-beam. The numerical results indicate that considering surface effects/flexoelectric property caused phase velocity increases/decreases in low wave number range, respectively. The influences of aforementioned parameters on the occurrence cut-off frequency point are very small.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.455-464
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• 2018

Objective: Machine learning is not yet widely used in the medical field. Therefore, this study was conducted to compare the performance of preexisting severity prediction models and machine learning based models (random forest [RF], gradient boosting [GB]) for mortality prediction in pneumonia patients. Methods: We retrospectively collected data from patients who visited the emergency department of a tertiary training hospital in Seoul, Korea from January to March of 2015. The Pneumonia Severity Index (PSI) and Sequential Organ Failure Assessment (SOFA) scores were calculated for both groups and the area under the curve (AUC) for mortality prediction was computed. For the RF and GB models, data were divided into a test set and a validation set by the random split method. The training set was learned in RF and GB models and the AUC was obtained from the validation set. The mean AUC was compared with the other two AUCs. Results: Of the 536 investigated patients, 395 were enrolled and 41 of them died. The AUC values of PSI and SOFA scores were 0.799 (0.737-0.862) and 0.865 (0.811-0.918), respectively. The mean AUC values obtained by the RF and GB models were 0.928 (0.899-0.957) and 0.919 (0.886-0.952), respectively. There were significant differences between preexisting severity prediction models and machine learning based models (P<0.001). Conclusion: Classification through machine learning may help predict the mortality of pneumonia patients visiting the emergency department.