Streptococcus iniae has been detected in several regions in Indonesia, such as Bali, Jambi and Papua. Outbreak of meningoencephalitis and septicemia was still often found in Papua. The aim of study was to compare phen...Streptococcus iniae has been detected in several regions in Indonesia, such as Bali, Jambi and Papua. Outbreak of meningoencephalitis and septicemia was still often found in Papua. The aim of study was to compare phenotype, genotype and histopathology of S. iniae from Papua. Bacteria was identified using morphological and biochemical tests. It was also extracted, amplified and sequenced to see genotypic characters. The primer used were 5＇-AGAGTTTGATCCTGGCT-3＇ （24F） and 5＇-AAGGGAGGTGATCCAGCCGCA-3＇ （1540R） in 16S rRNA region. Result of sequencing was analyzed by the neighbor joining and maximum parsimony methods. The identification result of isolate from Papua was S. iniae. The amplification result was a sharp band--l,500 bp band in 16S rRNA region. The phylogenetic tree showed that isolate from Papua was closely related to S. iniae strains CMS005 from Guangxi China. Bacterial clumps of S. iniae was firstly found in the blood vessel of liver at the 3rd day after infection and then caused the inflammation to spleen, heart, brain, kidney and gut at the 7th day post infection.展开更多
We perform detailed computations of Lie algebras of infinitesimal CR-automorphisms associated to three specific model real analytic CR-generic submanifolds in C9by employing differential algebra computer tools—mostly...We perform detailed computations of Lie algebras of infinitesimal CR-automorphisms associated to three specific model real analytic CR-generic submanifolds in C9by employing differential algebra computer tools—mostly within the Maple package DifferentialAlgebra—in order to automate the handling of the arising highly complex linear systems of PDE’s.Before treating these new examples which prolong previous works of Beloshapka,of Shananina and of Mamai,we provide general formulas for the explicitation of the concerned PDE systems that are valid in arbitrary codimension k 1 and in any CR dimension n 1.Also,we show how Ritt’s reduction algorithm can be adapted to the case under interest,where the concerned PDE systems admit so-called complex conjugations.展开更多
Interval-valued data appear as a way to represent the uncertainty affecting the observed values. Dealing with interval-valued information systems is helpful to generalize the applications of rough set theory. Attribut...Interval-valued data appear as a way to represent the uncertainty affecting the observed values. Dealing with interval-valued information systems is helpful to generalize the applications of rough set theory. Attribute reduction is a key issue in analysis of interval-valued data. Existing attribute reduction methods for single-valued data are unsuitable for interval-valued data. So far, there have been few studies on attribute reduction methods for interval-valued data. In this paper, we propose a framework for attribute reduction in interval-valued data from the viewpoint of information theory. Some information theory concepts, including entropy, conditional entropy, and joint entropy, are given in interval-valued information systems. Based on these concepts, we provide an information theory view for attribute reduction in interval-valued information systems. Consequently, attribute reduction algorithms are proposed. Experiments show that the proposed framework is effective for attribute reduction in interval-valued information systems.展开更多
文摘Streptococcus iniae has been detected in several regions in Indonesia, such as Bali, Jambi and Papua. Outbreak of meningoencephalitis and septicemia was still often found in Papua. The aim of study was to compare phenotype, genotype and histopathology of S. iniae from Papua. Bacteria was identified using morphological and biochemical tests. It was also extracted, amplified and sequenced to see genotypic characters. The primer used were 5＇-AGAGTTTGATCCTGGCT-3＇ （24F） and 5＇-AAGGGAGGTGATCCAGCCGCA-3＇ （1540R） in 16S rRNA region. Result of sequencing was analyzed by the neighbor joining and maximum parsimony methods. The identification result of isolate from Papua was S. iniae. The amplification result was a sharp band--l,500 bp band in 16S rRNA region. The phylogenetic tree showed that isolate from Papua was closely related to S. iniae strains CMS005 from Guangxi China. Bacterial clumps of S. iniae was firstly found in the blood vessel of liver at the 3rd day after infection and then caused the inflammation to spleen, heart, brain, kidney and gut at the 7th day post infection.
基金supported by the Center for International Scientific Studies and Collaboration(CISSC)and French Embassy in TehranThe resend of the first and second authors was in part supported by grants from IPM(Grant Nos.91530040 and 92550420)
文摘We perform detailed computations of Lie algebras of infinitesimal CR-automorphisms associated to three specific model real analytic CR-generic submanifolds in C9by employing differential algebra computer tools—mostly within the Maple package DifferentialAlgebra—in order to automate the handling of the arising highly complex linear systems of PDE’s.Before treating these new examples which prolong previous works of Beloshapka,of Shananina and of Mamai,we provide general formulas for the explicitation of the concerned PDE systems that are valid in arbitrary codimension k 1 and in any CR dimension n 1.Also,we show how Ritt’s reduction algorithm can be adapted to the case under interest,where the concerned PDE systems admit so-called complex conjugations.
基金Project supported by the National Natural Science Foundation of China(Nos.61473259,61502335,61070074,and60703038)the Zhejiang Provincial Natural Science Foundation(No.Y14F020118)the PEIYANG Young Scholars Program of Tianjin University,China(No.2016XRX-0001)
文摘Interval-valued data appear as a way to represent the uncertainty affecting the observed values. Dealing with interval-valued information systems is helpful to generalize the applications of rough set theory. Attribute reduction is a key issue in analysis of interval-valued data. Existing attribute reduction methods for single-valued data are unsuitable for interval-valued data. So far, there have been few studies on attribute reduction methods for interval-valued data. In this paper, we propose a framework for attribute reduction in interval-valued data from the viewpoint of information theory. Some information theory concepts, including entropy, conditional entropy, and joint entropy, are given in interval-valued information systems. Based on these concepts, we provide an information theory view for attribute reduction in interval-valued information systems. Consequently, attribute reduction algorithms are proposed. Experiments show that the proposed framework is effective for attribute reduction in interval-valued information systems.
