Dr. Biman Bagchi a bibliometric portrait

Analyses bibliometrically 226 publications [Papers Published in journals-220, thesis [others 4] by Biman Bagchi, a renowned physical chemist from India, published during 1981 to 2002. The first contribution of the author was in 1981 at the age of 27. The number of his contributions in a year peaked in 1999 and 2002 when it touched 19. The author is highly productive in as much as on average the author has produced 10 papers per year. In the byline of authorship, Bagchi occupies the first authorship position in 69 cases. His collaborator A. Chandra occupies the first authorship position in 30 papers thus becoming Bagchi's closest collaborator. The journal has been the most preferred channel of communication of the author in as much as 220 papers out of 226 have been praced in journals. J. Chem. Phys. is found to be the most preferred journal that carried 91 papers of the author, followed by Chem. Phys. Lett. (21 papers). J. Phys. Chem. (19 papers), Proc. Indian Acad. Sci. - Chem. Sci. (13 papers), and others. Of the papers, 179 received 4030 citations and 47 received no citations. It is expected that more than 20 uncited papers till 2002 will receive citations in future. Three papers of the author have received more than 200 citations each, and another three received between 100-200 citations each. The number of papers receiving 10 citations or more total 92. On four different years the scientist has received more than 300 citations and his citation rate per paper has peaked at 18.98. The article shows with a concrete example the growth, peaking and declining of citation rate. A few new terms such as citation gain, citation loss, gaining citation rate and losing citation rate have been introduced and described

Veril Palutta Pala Reveals the Social Misfortunes

Social problems are the problems that occur in human life. Witnesses are pointing out the life problems of individual people and the different thoughts of the human mind. In today's times, there are various types of superstitions found in a few people. That is, this novel highlights the superstition that if a woman is married and her husband dies, then the women in her house should not go ahead of them when they go outside for work or for a good cause. A Government recruiting officer should behave honestly. For example, the road safety officer should follow the road rules and treat everyone equally. But in this novel, it is pointed out that the officer pays respect to the higher people and takes bribes from the common people. The witnesses have said that there are only two categories in this world namely male and female. However, inequality can still be seen in various places. This novel highlights that this brutality is not an exception in government office. The idea that some of the friends are true and some of them use friendship for necessity is featured in this novel. It is a Tamil tradition to welcome enemies with pleasure to our home. The novel is narrated by Saravanan's mother Mutthammal. This article is intended to highlight the problems found in this novel

Novel Algorithms and Datamining for Clustering Massive Datasets

Clustering proteomics data is a challenging problem for any traditional clustering algorithm. Usually, the number of samples is much smaller than the number of protein peaks. The use of a clustering algorithm which does not take into consideration the number of feature of variables (here the number of peaks) is needed. An innovative hierarchical clustering algorithm may be a good approach. This work proposes a new dissimilarity measure for the hierarchical clustering combined with a functional data analysis. This work presents a specific application of functional data analysis (FDA) to a highthrouput proteomics study. The high performance of the proposed algorithm is compared to two popular dissimilarity measures in the clustering of normal and Human T Cell Leukemia Virus Type 1 (HTLV-1)-infected patients samples. The difficulty in clustering spatial data is that the data is multi - dimensional and massive. Sometimes, an automated clustering algorithm may not be sufficient to cluster this type of data. An iterative clustering algorithm along with the capability of visual steering may be a good approach. This case study proposes a new iterative algorithm which is the combination of automated clustering methods like the bayesian clustering, detection of multivariate outliers, and the visual clustering. Simulated data from a plasma experiment and real astronomical data are used to test the performance of the algorithm

Prevalence of extended spectrum beta-lactamase production among uropathogens in south Mumbai and its antibiogram pattern

β-lactams are the most widely used group of antimicrobials. However, increasing resistance to these valuable drugs in uropathogens, mediated principally by β-lactamases, has become a major concern. The present study was undertaken to determine the prevalence of Extended Spectrum β-Lactamase (ESBL) producers in clinical isolates of urine specimens, collected from various healthcare centres across south Mumbai. A total of 195 gram negative urine isolates were identified as Pseudomonas aeruginosa (13), Proteus mirabilis (21), Klebsiella pneumoniae (29), Escherichia coli (96), Enterobacter aerogenes (1), Enterobacter cloacae (1), Enterococcus fecalis (1), Morganella morganii (1), Citrobacter diversus (16), Citrobacter amalonaticus (5) and Proteus vulgaris (11). Antimicrobial Susceptibility Testing (AST) by Kirby-Bauer method showed 43.07 % (84/195) of the isolates were resistant to more than 70 % of the antibiotics used. Confirmatory screening using a combination of Double Disk Synergy Test (DDST), Phenotypic Confirmatory Disc Diffusion Test (PCDDT) and E-test revealed the overall prevalence of ESBL producers to be 34.71 % (68/195). The study showed 72.05 % of the ESBL producers to be resistant to fluoroquinolones, highlighting its extensive use in the region of south Mumbai. All ESBL producers were found to be sensitive to Imipenem whereas 82.36 % showed susceptibility to Amikacin making these 2 antibiotics the most effective choice of drug against ESBLs. In order to ensure rational treatment of highly resistant pathogens, the occurrence of ESBL and its primary studies may serve as a base for further research and findings

Manoranjan Mohanty, Red and Green: Five Decades of the Indian Maoist Movement (Kolkata, Setu Prakashani, 2015)

The book under review examines the evolution of the Naxalite Movement in India from pre-organisational in the first decade of its existence to the current stage of the CPI (Maoist) as an organised movement that has been described by the former Indian Prime Minister as the “greatest internal security threat faced by the country.” This book contains in part one, an in-depth analysis of the peasant uprising in Naxalbari and Srikakulam within a four dimensional theoretical framework of revolutionary environment, ideology, organisation and strategy and examining its parallels with the Chinese revolution. DOI: 10.5281/zenodo.336708