Brijesh Pandey

Prevalence of Citrus tristeza virus in Mandarin of Sikkim Himalayan Region

The assessment of Citrus tristeza virus incidence in mandarin of Sikkim, involving sampling techniques, was estimated by DAS-ELISA. Mandarin orchards had high CTV incidence (46.32%), however, differential prevalence with regard to age of plant and location was observed. The CTV prevalence was relatively high in older orchards (51.01%) than that of younger ones (40.80%). Under all the plant age groups, south district had the highest CTV incidence (52.50%) and east district had the lowest (37.71%). The spatial distribution of CTV in plants indicates high concentration in twig followed by leaf tissue, however, stem had relatively less concentration. High aphid infestation was observed in all mandarin growing groves with the maximum in south district and minimum in east district. Taxoptera citricida was the predominating aphid species followed by T. aurantii, however, Aphis spp population was significantly less. Aphid infestation and CTV prevalence were positively and significantly correlated.

Population genetic structure and geographic differentiation in butter catfish, Ompok bimaculatus, from Indian waters inferred by cytochrome b mitochondrial gene.

Abstract Documentation of genetic differentiation among the populations of a species can provide useful information that has roles in conservation, breeding, and management plans. In the present study, we examined the genetic structure and phylogenetic relationships among the 149 individuals of Ompok bimaculatus belonging to 24 populations, collected from Indian waters, using cytochrome b gene. The combined analyses of data suggested that the Indian O. bimaculatus consist of three distinct mtDNA lineages with star-like haplotypes network, which exhibited high genetic variation and haplotypic diversity. Analysis of molecular variance indicated that most of the observed genetic variation was found among the populations suggesting restricted gene flow. Long-term interruption of gene flow was also evidenced by high overall Fst values (0.82367) that could be favored by the discontinuous distributions of the lineages.

Graph Mining Using gSpan: Graph-Based Substructure Pattern Mining

We have explored new methodologies for regular graph-based pattern exploration in graph datasets and studied a novel algorithm called gSpan (graph-based substructure pattern mining), which finds frequent substructures without candidate production. gSpan fabricates another lexicographic arrangement between diagrams and maps every chart to a kind smaller depth-first search (DFS) code as its standard label. Taking into account this lexico-realistic request, gSpan embraces the depth-First search approach to mine regular associated subgraphs efficiently. Our performance study demonstrates that gSpan significantly beats previous calculations, once in a while by a request of scale.

Big Data: A Comprehensive Study

Enormous information is a term for huge information sets having extensive, more shifted and complex structure with the troubles of putting away, investigating and envisioning for further procedures or results. The procedure of exploration into gigantic measures of information to uncover concealed examples and mystery relationships named as large information investigation. These valuable data for organisations or associations with the assistance of increasing wealthier and more profound experiences are getting preference over the opposition. Consequently, huge information usage should be broken down and executed as precisely as could be expected under the circumstances. Huge data is another name given to a various field of information serious data in which the datasets are large to the point that they are hard to work with successfully. The term has been basically utilised as a part of two settings, first as an innovative test when managing information serious spaces, for example, high vitality material science, cosmology or web seek, and furthermore as a sociological issue when information about us is gathered and mined by organisations, for example, Facebook, Google, Mobile telephone organisations and Governments. The fixation is on the second issue from another point of view, to be specific how the client can pick up consciousness of the by and by important part Big Data that is freely accessible in the social web. The measure of client-produced media transferred to the web is extending quickly, and it is past the abilities of any human to filter through everything to see which media affects our protection. In light of an investigation of online networking in Flicker, Google Picasa, Facebook and Google+, protection suggestions and capability of the developing pattern of geo-labelled online networking are talked about. Finally, an idea with which clients can stay educated about which parts of the social Big Data is pertinent to them.