Quotient-4 Cordial Labeling Of Some Caterpillar And Lobster Graphs

Let G (V, E) be a simple graph of order p and size q. Let φ: V (G) Z5 – {0} be a function. For each edge set E (G) define the labeling *:E (G)Z4 by *(uv)= (mod 4) where (u)(v). The function  is called Quotient-4 cordial labeling of G if |vφ(i) – vφ(j)| ≤ 1, , j, ij where vφ(x) denote the number of vertices labeled with x and |eφ(k) – eφ(l)| ≤ 1, ,,, where eφ(y) denote the number of edges labeled with y. Here some caterpillar graphs such as star graph (Sn), Bistar graph (Bn,n), Pn [N] graph, Pn [No] graph, Pn [Ne] graph, Twig graph (Tm), (Pn   K1, r), S(Sn), S(Bn,n), S(Pn [N]), S(Pn [No]), S(Pn [Ne]), S(Tm) and S(Pn   K1, r) graph proved to be quotient-4 cordial graphs

Robust Retinal Vessel Segmentation using ELM and SVM Classifier

The diagnosis of retinal blood vessels is of much clinical importance, as they are generally examined to evaluate and monitor both the ophthalmological diseases and the non-retinal diseases. The vascular nature of retinal is very complex and the manual segmentation process is tedious. It requires more time and skill. In this paper, a novel supervised approach using Extreme Learning Machine (ELM) classifier and Support Vector Machine (SVM) classifier is proposed to segment the retinal blood vessel. This approach calculates 7-D feature vector comprises of green channel intensity, Median-Local Binary Pattern (M-LBP), Stroke Width Transform (SWT) response, Weber�s Local Descriptor (WLD) measure, Frangi�s vesselness measure, Laplacian Of Gaussian (LOG) filter response and morphological bottom-hat transform. This 7-D vector is given as input to the ELM classifier to classify each pixel as vessel or non-vessel. The primary vessel map from the ELM classifier is combined with the ridges detected from the enhanced bottom-hat transformed image. Then the high-level features computed from the combined image are used for final classification using SVM. The performance of this technique was evaluated on the publically available databases like DRIVE, STARE and CHASE-DB1. The result demonstrates that the proposed approach is very fast and achieves high accuracy about 96.1% , 94.4% and 94.5% for DRIVE, STARE and CHASE-DB1 respectively

Calculation of molecular thermochemical data and their availability in databases

Thermodynamic properties of molecules can be obtained by experiment, by statistical mechanics in conjunction with electronic structure theory and by empirical rules like group additivity. The latter two methods are briefly re-viewed in this chapter. The overview of electronic structure methods is intended for readers less experienced in electronic structure theory and focuses on concepts without going into mathematical details. This is followed by a brief description of group additivity schemes; finally, an overview of databases listing reliable thermochemical data is given

Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.

A majority of individuals infected with human immunodeficiency virus (HIV) have inadequate access to antiretroviral therapy and ultimately develop debilitating oral infections that often correlate with disease progression. Due to the impracticalities of conducting host-microbe systems-based studies in HIV infected patients, we have evaluated the potential of simian immunodeficiency virus (SIV) infected rhesus macaques to serve as a non-human primate model for oral manifestations of HIV disease. We present the first description of the rhesus macaque oral microbiota and show that a mixture of human commensal bacteria and "macaque versions" of human commensals colonize the tongue dorsum and dental plaque. Our findings indicate that SIV infection results in chronic activation of antiviral and inflammatory responses in the tongue mucosa that may collectively lead to repression of epithelial development and impact the microbiome. In addition, we show that dysbiosis of the lingual microbiome in SIV infection is characterized by outgrowth of Gemella morbillorum that may result from impaired macrophage function. Finally, we provide evidence that the increased capacity of opportunistic pathogens (e.g. E. coli) to colonize the microbiome is associated with reduced production of antimicrobial peptides

Draft genome sequence and genetic transformation of the oleaginous alga Nannochloropis gaditana

The potential use of algae in biofuels applications is receiving significant attention. However, none of the current algal model species are competitive production strains. Here we present a draft genome sequence and a genetic transformation method for the marine microalga Nannochloropsis gaditana CCMP526. We show that N. gaditana has highly favourable lipid yields, and is a promising production organism. The genome assembly includes nuclear (~29 Mb) and organellar genomes, and contains 9,052 gene models. We define the genes required for glycerolipid biogenesis and detail the differential regulation of genes during nitrogen-limited lipid biosynthesis. Phylogenomic analysis identifies genetic attributes of this organism, including unique stramenopile photosynthesis genes and gene expansions that may explain the distinguishing photoautotrophic phenotypes observed. The availability of a genome sequence and transformation methods will facilitate investigations into N. gaditana lipid biosynthesis and permit genetic engineering strategies to further improve this naturally productive alga

A SCIENTOMETRIC ANALYSIS OF RESEARCH JOURNAL OF CHEMISTRY AND ENVIRONMENT (2005-2019)

In this study presents the Scientometric analysis of the Research Journal Chemistry and Environment during the year 2005 to 2019. The study reveals that the total no. of articles 1,470 include 1,408 Research Articles, 45 Reviews, 10 Mini Reviews and 7 Short Communications were published in this journal has been carried out. Fifteen volumes of the journal containing 24 issues from 2005 to 2012 (Quarterly Journal) and it updated to Monthly journal from 2013 to 2019 it containing 84 issues (totally 108 issues) have been taken into consideration for the present study. The number of contributions, authorship pattern, author productivity, average citations, and collaborative papers of all necessary information are compiled, recorded, tabulated and analysed for making observations as indicated in the study

Fire Monitoring and Extinguishing Algorithm using Wireless Sensor and Actor Networks

ABSTRACT Buildings may be subjected to natural hazards such as earthquakes, winds and fires during their long-term use. Fire is a very common hazard and could be monitored and prevented using Wireless sensor and actor networks (WSAN