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Density Functional Study of Deoxycytidine Radicals In Irradiated DNA
Yan-ju Ji,Feng-xiang Wang,Yang Jiao 한국물리학회 2008 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.52 No.-
Density functional theory is used to study the energetics and geometries of deoxycytidine radicals which are formed by removal of hydrogen from ve carbon atoms through irradiation. The C0 1 and C0 4 centered radicals (C0 1 and C0 4) are more energetically favored than the others. To investigate the cytosine release, a potential energy surface scan is performed to break the N1-glycosidic bond (N1-C0 1 bond). The result indicates that the activation energy needed for the N1-glycosidic bond breaking in every one of the deoxycytidine radicals is much lower than that in the parent deoxycytidine. The discussion shows that in irradiated molecular DNA, the C0 4 site is the most favored site for H abstraction; hence, there is C0 4-centered radical formation, subsequently leading to base release. This conclusion is in agreement with the experimental results. Density functional theory is used to study the energetics and geometries of deoxycytidine radicals which are formed by removal of hydrogen from ve carbon atoms through irradiation. The C0 1 and C0 4 centered radicals (C0 1 and C0 4) are more energetically favored than the others. To investigate the cytosine release, a potential energy surface scan is performed to break the N1-glycosidic bond (N1-C0 1 bond). The result indicates that the activation energy needed for the N1-glycosidic bond breaking in every one of the deoxycytidine radicals is much lower than that in the parent deoxycytidine. The discussion shows that in irradiated molecular DNA, the C0 4 site is the most favored site for H abstraction; hence, there is C0 4-centered radical formation, subsequently leading to base release. This conclusion is in agreement with the experimental results.
Study of the Ultimate Load Capacity of K-Type Tube-Gusset Plate Connections
Yan-Zhong Ju,Jia-Yang Li,De-Hong Wang,Jun-Feng Bai 한국강구조학회 2018 International Journal of Steel Structures Vol.18 No.2
In order to investigate the ultimate load capacity of K-type tube-gusset plate connections with stiff ened plate, the static tests of fi ve full-scale specimens were conducted in this study. The results indicate that the end stiff ened plate is critical for improving the load capacity of the connections. In addition, the parametric nonlinear fi nite element analysis of the K-type tube-gusset plate specimens was performed with account of such non-dimensional parameters as chord diameter-to-thickness ratio ( γ ), plate width-to-chord diameter ratio ( α ), plate thickness-to-chord thickness ratio ( 1 ), stiff ened plate thickness ( t d ), and nominal-to-yield stress ratio ( η ). The above analysis implies that the ultimate load capacity decreases with the increment of γ and increases with the increment of α and 1 , while it is only slightly aff ected by the stiff ened plate thickness. Compare the results of the fi nite element analysis with assessment by design guides existing. Based on the former results, an equation for estimating the load capacity of K-type tube-stiff ened gusset plate is proposed.
A Novel Bi-directional Promoter Cloned from Melon and Its Activity in Cucumber and Tobacco
( Cui Yan Wang ),( Dong Feng Ding ),( Rui Xiang Yan ),( Xiao Ju Yu ),( Wei Dong Li ),( Ming Gang Li ) 한국식물학회 2008 Journal of Plant Biology Vol.51 No.2
A bi-directional promoter, DP, was cloned by PCR amplification using the genomic DNA of melon as template. Analysis of its cis-acting elements in both directions revealed a series of inducible regulatory elements and some enhancer elements. To evaluate its transcriptional activity, DP in both directions was then cloned into vector pBI121 to replace the CaMV 35S promoter. DP in both directions also was inserted downstream of CaMV 35S to investigate whether the double promoter might affect expression of the uidA reporter gene at higher levels. Transient expression in cucumber leaves, stems, and fruits as well as in tobacco leaves and stems showed that DP in both directions drove transcription to much higher levels than did the single promoter CaMV 35S. However, activity of the double promoter was lower than the corresponding activity of the single promoter DP in both directions. These results demonstrate that DP is a natural bi-directional promoter, with much more activity than is found with the CaMV 35S promoter. Furthermore, in cucumber and tobacco, it is not suitable to insert DP in either direction downstream of the CaMV 35S promoter to form a double promoter.
Liu Yan-ju,Jiang Jin-gang,Miao Feng-juan,Tao Bai-rui,Zhang Hong-lie 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
This paper presents a fuzzy normal estimate for mass point clouds of irregular models in reconstruction. The irregular model is complex object that some part is smooth and some parts are irregular including sharp features. Therefore, we put kNN and curvature of mass point clouds to fuzzy inference system to divide the kind of point clouds and the output of FIS can determine which part of tooth point clouds belong to. For different kinds point clouds, corresponding algorithm is given. Point clouds in the smooth area are estimated normal by PCA directly and ones in other regions of thin or sharp area are estimated by checker and attach points. This method is simpler than those complex methods used on the whole point clouds directly. The experiment results show that much time is saved and surface reconstruction is very fine than PCA and WLOP.
A Parallel Fast Sort Algorithm for Mass 3D Point Clouds of Irregular Model
Liu Yan-ju,Zhang Hong-lie,Tao Bai-rui,Li Cheng 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.6
According to mass point clouds without explicit topology relation, a parallel fast sort algorithm is proposed in this paper. Morton order is introduced and used to merge one-dimensional data. The mass point clouds of irregular model are generated corresponding address code named Morton code and these points are stored in the octree structure chain. And then a parallel fast sort algorithm based on Euclidean distance is used to sort by CPU and GPU. The k-Nearest Neighbors of point can be located in the chain. The experiment results show that much time is saved and k-Nearest Neighbors of point can be searched directly. This algorithm is simpler than those complex sort methods used on the whole point clouds.