Indian Institute of Technology Bhubaneswar

About: Indian Institute of Technology Bhubaneswar is a education organization based out in Bhubaneswar, India. It is known for research contribution in the topics: Large Hadron Collider & Computer science. The organization has 1185 authors who have published 3132 publications receiving 48832 citations.

Measurements of the pp -> W gamma gamma and pp -> Z gamma gamma cross sections and limits on anomalous quartic gauge couplings at root s=8 TeV

Abstract: Measurements are presented of Wγγ and Zγγ production in proton-proton collisions. Fiducial cross sections are reported based on a data sample corresponding to an integrated luminosity of 19.4 fb$^{−1}$ collected with the CMS detector at a center-of-mass energy of 8 TeV. Signal is identified through the W → lν and Z → ll decay modes, where l is a muon or an electron. The production of Wγγ and Zγγ, measured with significances of 2.6 and 5.9 standard deviations, respectively, is consistent with standard model predictions. In addition, limits on anomalous quartic gauge couplings in Wγγ production are determined in the context of a dimension-8 effective field theory.

Establishment of a sustainable development framework in small scale mining supply chains in India

Abstract: Green supply chain management (GSCM) improves environmental performance of the organisation which leads to their increased social image while enabling them to improve economical performance through cost reduction and cost saving principles. In fact GSCM success can lead to increased contribution of the organisations towards sustainable development (SD). However, mining industries in India particularly small scale mines are either unable to implement GSCM successfully or reluctant to adopt it. The reason may be lack of adequate knowledge of potential GSCM barriers and the existing causal relationship among them. To bridge this gap this research tries to explore the potential GSCM barriers in small scale Indian mining industries and proposes, decision making trial and evaluation laboratory (DEMATEL) method to extract the causal relationships among them. Prior knowledge of the barriers and their nature will help the decision makers in formulating effective strategies to bring improvements in GSCM implementation that supports sustainable development.