The Structure of O-antigen from Lipopolysaccharide of Rhizobium leguminosarum 128C53 and Its Nod-Fix-Mutant

The LPS of R. leguminosarum 128C53 smr rifr (a streptomycin and rifampicin resistant strain of wild type 128C53) and its mutant ANU54 (nod-, fix-) were isolated from the bacterial pellet by hot phenol/water extraction followed by gel filtration chromatography. The O-antigen was isolated by mild-acid hydrolysis of the LPS and purified by gel filtration chromatography using a Sephadex G-50 or G-25. The following results were the same for both the parent and mutant. The composition and linkage of the O-antigen were determined by gas chromatography (GC), GC-mass spectrometry, 1H and 13C nuclear magnetic resonance spectroscopy (NMR) techniques. The data indicate that the O-antigen of the LPS from parent R. leguminosarum 128C53 and its mutant ANU54 are identical. The O-antigen contains a tetrasaccharide repeating unit. The backbone consists of one 1,3-linked-rhamnose and two 1,3-linked-fucose residues. A terminal mannose is linked to the 2-position of one of the two fucose residues. The 1H-NMR analysis indicates that all the glycosyl residues are alpha linked. The exact position of the mannose residue is under further investigation

Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing

International audienceBlood vessel images can provide considerable information of many diseases, which are widely used by ophthalmologists for disease diagnosis and surgical planning. In this paper, we propose a novel method for the blood Vessel Enhancement via Multi-dictionary and Sparse Coding (VE-MSC). In the proposed method, two dictionaries are utilized to gain the vascular structures and details, including the Representation Dictionary (RD) generated from the original vascular images and the Enhancement Dictionary (ED) extracted from the corresponding label images. The sparse coding technology is utilized to represent the original target vessel image with RD. After that, the enhanced target vessel image can be reconstructed using the obtained sparse coefficients and ED. The proposed method has been evaluated for the retinal vessel enhancement on the DRIVE and STARE databases. Experimental results indicate that the proposed method can not only effectively improve the image contrast but also enhance the retinal vascular structures and details

Strong Convergence Theorems for Mixed Equilibrium Problem and Asymptotically I

This paper aims to use a hybrid algorithm for finding a common element of a fixed point problem for a finite family of asymptotically nonexpansive mappings and the set solutions of mixed equilibrium problem in uniformly smooth and uniformly convex Banach space. Then, we prove some strong convergence theorems of the proposed hybrid algorithm to a common element of the above two sets under some suitable conditions

The flavor transition process b→sγb\rightarrow s\gamma in the U(1)XU(1)_XSSM with the mass insertion approximation

People extend the MSSM with the local gauge group $U(1)_X$ to obtain the $U(1)_X$SSM. In the framework of the $U(1)_X$SSM, we study the flavor transition process $b\rightarrow{s\gamma}$ with the mass insertion approximation (MIA). By the MIA method and some reasonable parameter assumptions, we can intuitively find the parameters that have obvious effect on the analytic results of the flavor transition process $b\rightarrow{s\gamma}$. By means of the influences of different sensitive parameters, we can obtain reasonable results to better fit the experimental data