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

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

Empowering of Feminine in Indian Advertisements

In general, female stereotypes shape the advertising industry, and some recent studies suggest that other types of non-stereotype gender role representations in advertising can have many positive effects. The purpose of this study is to investigate the gender stereotypes of women in modern days advertising. Regardless of gender, there are many positive effects on the brand-related and social impact of non-stereotypic representations of the professional gender role in advertising to respondents. These results also show the format of these stereotypes about how women are portrayed in advertising. It is important that advertising supports gender equality by using positive expressions instead of harmful stereotypes. This study used content analysis to identify the different roles women play in Indian television advertising. Studies show that women are primarily portrayed in advertising as independent decision makers and users, and as an authority on the products being advertised and direct eye contact with customers in advertising and vocalization, and the product type of advertising