264 research outputs found
Macro-scale matter wave generation in charged particle dynamics in a magnetic field, a consequence of quantum entanglement
No full textMatter wave interference effects on the macro-scale predicted by the author in charged particle dynamics in a magnetic field [R.K. Varma, Phys. Rev. E 64, 036608 (2001)], and observed subsequently [R.K. Varma, A.M. Punithavelu, S.B. Banerjee, Phys. Rev. E 65, 026503 (2002); R.K. Varma, S.B. Banerjee, Phys. Scr. 75, 19 (2007)] have been shown here to be an interesting consequence of quantum entanglement between the parallel and perpendicular degrees of freedom of the particle. Treating the problem in the framework of the inelastic scattering theory, it is shown that these macro-scale matter waves are generated in the ‘parallel’ degree of freedom as a modulation of the plane wave state of the particle along the field concomitantly with the excitation of Landau levels in the perpendicular degree of freedom in an inelastic scattering episode. We highlight here the role of quantum entanglement leading to the generation of this macro-scale quantum entity which has been shown to exhibit observable consequences. This case also exemplifies a situation exhibiting quantum entanglement on the macro-scale
Detection of Malaria Parasite Based on Thick and Thin Blood Smear Images Using Local Binary Pattern
No full textAnalysis of PCA and LDA Features for Facial Expression Recognition Using SVM and HMM Classifiers
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Cointegration Analysis with State Space Models
No full textThis paper presents and exemplifies results developed for cointegration analysis with state space models by Bauer and Wagner in a series of papers. Unit root processes, cointegration and polynomial cointegration are defined. Based upon these definitions the major part of the paper discusses how state space models, which are equivalent to VARMA models, can be fruitfully employed for cointegration analysis. By means of detailing the cases most relevant for empirical applications, the I(1), MFI(1) and I(2) cases, a canonical representation is developed and thereafter some available statistical results are briefly mentioned.State space models, unit roots, cointegration, polynomial cointegration, pseudo maximum likelihood estimation, subspace algorithms
Financial Planning Recommendation System Using Content-Based Collaborative and Demographic Filtering
No full textHuman skin detection using histogram processing and Gaussian Mixture Model based on color spaces
No full textDoing Business in Asia
No full textFrom the author of Doing Business in Europe (SAGE, 2018), Gabriele Suder has teamed up with Sumati Varma based in India, and Terence Tsai from China to bring this comprehensive solution for Asian business teaching and learning. The book offers a highly productive mix of international business and marketing theory, and is packed with pedagogical tools to engage and develop understanding, including two full-length corporate case studies per chapter. This is a unique volume covering the most relevant topics of Asia-focused business and management practice spanning from cross-cultural management to supply chain resilience to market entry and expansion strategy, and much more. Specifically designed to meet the needs of Postgraduate, MBA and those taking part in Executive Education programmes, this exciting learning experience will prepare Asia's leaders of the future
Gene co-expression network construction and analysis for identification of genetic biomarkers associated with glioblastoma multiforme using topological findings
No full textAbstract Background Glioblastoma multiforme (GBM) is one of the most malignant types of central nervous system tumors. GBM patients usually have a poor prognosis. Identification of genes associated with the progression of the disease is essential to explain the mechanisms or improve the prognosis of GBM by catering to targeted therapy. It is crucial to develop a methodology for constructing a biological network and analyze it to identify potential biomarkers associated with disease progression. Methods Gene expression datasets are obtained from TCGA data repository to carry out this study. A survival analysis is performed to identify survival associated genes of GBM patient. A gene co-expression network is constructed based on Pearson correlation between the gene’s expressions. Various topological measures along with set operations from graph theory are applied to identify most influential genes linked with the progression of the GBM. Results Ten key genes are identified as a potential biomarkers associated with GBM based on centrality measures applied to the disease network. These genes are SEMA3B, APS, SLC44A2, MARK2, PITPNM2, SFRP1, PRLH, DIP2C, CTSZ, and KRTAP4.2. Higher expression values of two genes, SLC44A2 and KRTAP4.2 are found to be associated with progression and lower expression values of seven gens SEMA3B, APS, MARK2, PITPNM2, SFRP1, PRLH, DIP2C, and CTSZ are linked with the progression of the GBM. Conclusions The proposed methodology employing a network topological approach to identify genetic biomarkers associated with cancer
Air Pollution Control Equipment
No full textThis book has arisen directly from a course on Air and Water Pollution Control delivered by the first named author at the Technical University of Berlin. Extractions of this course have been presented in Brazil, Turkey and India. It was at the Indian Institute of Technology of Madras where the first named author got in contact with Professor Varma, who turned out to be a suggestive, cooperative coauthor. This book is addressed primarily to chemical, environmental and mechanical engineers, engaged in the design and operation of equipment for air pollution control. But it will certainly be helpful to chemists and physicists confronted with the solution of environmental problems. Furthermore it is intended as a text book for engineering courses on environmental protection. The goal of the book is the presentation of knowledge on design and operation of equipment applicable to the abatement of harmful emissions into air. The technology of air pollution control is of relatively young age, but it has already achieved a high degree of performance, due to the research and develop ment work invested in the last decades in this fiel
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