Differential elliptic flow of identified hadrons and constituent quark number scaling at FAIR

Differential elliptic flow $v_2(p_{T})$ for identified hadrons has been investigated in the FAIR energy regime, employing a hadronic-string transport model (UrQMD) as well as a partonic transport model (AMPT). It has been observed that both the models show a mass ordering of $v_2$ at low $p_{T}$ and a switch over resulting a baryon-meson crossing at intermediate $p_{T}$. AMPT generates higher $v_2$ values compared to UrQMD. In addition, constituent quark number scaling behavior of elliptic flow has also been addressed. Scaling behavior in terms of the transverse momentum $p_T$ is found to absent for both the partonic as well as the hadronic model. However UrQMD and AMPT with string melting scenario do exhibit a NCQ scaling of $v_2$ at varying degree, with respect to transverse kinetic energy $KE_T$. But default AMPT, where partonic scatterings are not included, does not show any considerable scaling behavior. A variable $\alpha$ is defined to quantify the degree of $KE_T$ scaling. We found that UrQMD gives better scaling than AMPT at FAIR.Comment: 8 pages, 6 figures Acceped for publication in Physical Review

Preparation of a Depth Schedule on Data Science by Colon Classification, Edition 7

Abstract :- Preparation of a Depth version is required when a micro subject has emerged as a popular and important subject of study. The subject Data Science is such a subject under consideration for preparation of a Depth Schedule. The Colon Classification, edition 7 of Ranganathan is a suitable classification scheme to classify the above mentioned subject thoroughly because of the inbuilt flexibility of Colon Classification, edition 7. Through this article an attempt has been made to prepare a Depth Schedule as far as possible

Application of artificial neural network in market segmentation: A review on recent trends

Despite the significance of Artificial Neural Network (ANN) algorithm to market segmentation, there is a need of a comprehensive literature review and a classification system for it towards identification of future trend of market segmentation research. The present work is the first identifiable academic literature review of the application of neural network based techniques to segmentation. Our study has provided an academic database of literature between the periods of 2000-2010 and proposed a classification scheme for the articles. One thousands (1000) articles have been identified, and around 100 relevant selected articles have been subsequently reviewed and classified based on the major focus of each paper. Findings of this study indicated that the research area of ANN based applications are receiving most research attention and self organizing map based applications are second in position to be used in segmentation. The commonly used models for market segmentation are data mining, intelligent system etc. Our analysis furnishes a roadmap to guide future research and aid knowledge accretion and establishment pertaining to the application of ANN based techniques in market segmentation. Thus the present work will significantly contribute to both the industry and academic research in business and marketing as a sustainable valuable knowledge source of market segmentation with the future trend of ANN application in segmentation.Comment: 24 pages, 7 figures,3 Table

Looking for a heavy wino LSP in collider and dark matter experiments

We investigate the phenomenology of a wino LSP as obtained in AMSB and some string models. The WMAP constraint on the DM relic density implies a wino LSP mass of 2.0-2.3 TeV. We find a viable signature for such a heavy wino at CLIC, operating at its highest CM energy of 5 TeV. One also expects a viable monochromatic $\gamma$-ray signal from its pair-annihilation at the galactic centre at least for cuspy DM halo profiles.Comment: A discussion on non-perturbative effects on annihilation cross section of TeV scale wino LSP added. Version to appear in Phys. Rev. D

A Scientometric Sketch on the Paper Informetrics & Scientometric of e-PG Pathshala Portal

The portal of e-PG Pathshala is an authentic source of study of e-resources in different academic subjects including the academic subject Library & Information Science. The all papers which are being taught in the courses of Library & Information Science is given here in detail. Through this article regarding the paper “ Informetrics & Scientometrics” of the Broad subject Library & Information Science covering all aspects is depicted here for the convenience and more awareness for students, teachers, LIS professionals and other interested persons

A Study on UGC-CARE Journals of Library and Information Science

The University Grants Commission has published the list of CARE journals of all disciplines such as Science, Social Science and Arts & Humanities. The subject Library & Information Science has also been included in the CARE list under Social Science stream. The study measures information statistically or mathematically. These CARE list of journals are analyzed from different perspectives by giving various tables highlighting different aspects of informetric measurement