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Verma, Pankaj,Pandey, Prashant Kumar,Gupta, Arvind Kumar,Seong, Chi Nam,Park, Seong Chan,Choe, Han Na,Baik, Keun Sik,Patole, Milind Shivaji,Shouche, Yogesh Shreepad Microbiology Society 2012 International journal of systematic and evolutiona Vol.62 No.10
<P>We have carried out a polyphasic taxonomic characterization of <I>Bacillus beijingensis</I> DSM 19037<SUP>T</SUP> and <I>Bacillus ginsengi</I> DSM 19038<SUP>T</SUP>, which are closely related phylogenetically to <I>Bhargavaea cecembensis</I> LMG 24411<SUP>T</SUP>. All three strains are Gram-stain-positive, non-motile, moderately halotolerant and non-spore-forming. 16S rRNA gene sequence analyses showed that the strains constituted a coherent cluster, with sequence similarities between 99.7 and 98.7 %. The percentage similarity on the basis of amino acid sequences deduced from partial <I>gyrB</I> gene nucleotide sequences of these three type strains was 96.1-92.7 %. Phylogenetic trees based on the 16S rRNA gene and GyrB amino acid sequences, obtained by using three different algorithms, were consistent and showed that these three species constituted a deeply rooted cluster separated from the clades represented by the genera <I>Bacillus</I>, <I>Planococcus</I>, <I>Planomicrobium</I>, <I>Sporosarcina</I>, <I>Lysinibacillus</I>, <I>Viridibacillus</I>, <I>Kurthia</I> and <I>Geobacillus</I>, supporting their placement in the genus <I>Bhargavaea</I>. All three type strains have menaquinone MK-8 as the major respiratory quinone and showed similar fatty acid profiles. The main polar lipids present in the three type strains were diphosphatidylglycerol and phosphatidylglycerol, and the three strains showed peptidoglycan type A4α with l-lysine as the diagnostic diamino acid. The DNA G<I>+</I>C contents of <I>Bacillus beijingensis</I> DSM 19037<SUP>T</SUP>, <I>Bacillus ginsengi</I> DSM 19038<SUP>T</SUP> and <I>Bhargavaea cecembensis</I> LMG 24411<SUP>T</SUP> were 53.1, 50.2 and 53.7 mol%, respectively. The level of DNA-DNA hybridization among the three strains was 57-39 %, indicating that they are members of different species of the genus <I>Bhargavaea</I>. The phenotypic data are consistent with the placement of these three species in a single genus and support their differentiation at the species level. On the basis of these data, we have emended the description of the genus <I>Bhargavaea</I> and propose the reclassification of <I>Bacillus beijingensis</I> and <I>Bacillus ginsengi</I> to the genus <I>Bhargavaea</I>, as <I>Bhargavaea beijingensis</I> comb. nov. (type strain ge10<SUP>T</SUP> = DSM 19037<SUP>T</SUP> = CGMCC 1.6762<SUP>T</SUP>) and <I>Bhargavaea ginsengi</I> comb. nov. (type strain ge14<SUP>T</SUP> = DSM 19038<SUP>T</SUP> = CGMCC 1.6763<SUP>T</SUP>).</P>
Akhil Kumar,Arvind Kalia,Kinshuk Verma,Akashdeep Sharma,Manisha Kaushal,Aayushi Kalia 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11
Classification of persons wearing and not wearing face masks in images has emerged as a new computer vision problem during the COVID-19 pandemic. In order to address this problem and scale up the research in this domain, in this paper a hybrid technique by employing ResNet-101 and multi-layer perceptron (MLP) classifier has been proposed. The proposed technique is tested and validated on a self-created face masks classification dataset and a standard dataset. On self-created dataset, the proposed technique achieved a classification accuracy of 97.3%. To embrace the proposed technique, six other state-of-the-art CNN feature extractors with six other classical machine learning classifiers have been tested and compared with the proposed technique. The proposed technique achieved better classification accuracy and 1-6% higher precision, recall, and F1 score as compared to other tested deep feature extractors and machine learning classifiers.