15,734 research outputs found
An interview with Dr. Satish Khurana
No full textThis article is an interview with Dr. Satish Khurana, who is currently working as a Research Associate at University of Leuven, Belgium. His research interests include exploring intrinsic and extrinsic (HSC "niche") factors regulating hematopoietic stem cell (HSCs) function, HSC homing, proliferation and ageing. Before this, Dr. Khurana was completing his doctoral work, also on HSC’s, from the National Institute of Immunology, New Delhi, India
Subnational Determinants of Foreign Direct Investments in the Russian Federation
No full textOur purpose is to examine the determinants of subnational distribution of Foreign Direct Investments (FDI) in the key fifteen regions of Russia over the period of 2005-2011 using panel data. Within the most important economic regions of the country we found market seeking is still the main purpose of foreign inward investments. As a result, the size of the Russian consumer market presents a significant influence on the foreign economic activities alongside trade openness and government economic incentives. Our results from regression analysis indicate that gross regional product per capita, trade openness and the existence of special economic zones have significant positive impact on the regional distribution of FDI in the Russian Federation
Cancer trials in sub-Saharan Africa: Aligning research and care.
No full textSatish Gopal discusses the challenges of deliverable cancer care and cancer trials in sub-Saharan Africa as well as a potential framework for overcoming these challenges
A Survey of Student Support Services for Networking among Various Open Universities - A Comparison
No full textPCF1 // Working paper presented by Satish Rastogi at the First Pan-Commonwealth Forum on Open Learning (PCF1) in Bandar Seri Begawan, Brunei Darussalam. /
ASME 3rd International Conference on Microchannels and Minichannels, Parts A and B
No full textAndres Carrano (with James B. Taylor and Satish G. Kandlikar) is a contributing author, Characterization of the Effect of Surface Roughness and Texture on Fluid Flow: Past, Present, and Future (Keynote), pp. 11-18.
Proceedings of ASME 3rd International Conference on Nanochannels, Microchannels and Minichannels.https://digitalcommons.fairfield.edu/engineering-books/1053/thumbnail.jp
Artificial Excellence - A New Branch of Artificial Intelligence
No full textArtificial Excellence is a new field which is invented in this article Artificial Excellence is a new field which belongs to Artificial Human Optimization field Artificial Human Optimization is a sub-field of Evolutionary Computing Evolutionary Computing is a sub-field of Computational Intelligence Computational Intelligence is an area of Artificial Intelligence Hence after the publication of this article Artificial Excellence AE will become popular as a new branch of Artificial Intelligence AI A new algorithm titled Artificial Satish Gajawada and Durga Toshniwal Algorithm ASGDTA is designed in this work The definition of AE is given in this article followed by many opportunities in the new AE field The Literature Review of Artificial Excellence field is shown after showing the definition of Artificial Intelligence The new ASGDTA Algorithm is explained followed by Results and Conclusion
Development and Religion: Cultivating a sense of the sacred
No full textSatish Kumar shows how development and religion have grown together in some of the significant responses of religions to the rapid changes modernity has produced. He discusses the inspirations, goals and movements that followed a Gandhian view, Buddhism, Liberation Theology and the teachings of Gaia. Development (2003) 46, 15–21. doi:10.1177/1011637003046004003
Provenance-based trust for grid computing: Position Paper
No full textCurrent evolutions of Internet technology such as Web Services, ebXML, peer-to-peer and Grid computing all point to the development of large-scale open networks of diverse computing systems interacting with one another to perform tasks. Grid systems (and Web Services) are exemplary in this respect and are perhaps some of the first large-scale open computing systems to see widespread use - making them an important testing ground for problems in trust management which are likely to arise. From this perspective, today's grid architectures suffer from limitations, such as lack of a mechanism to trace results and lack of infrastructure to build up trust networks. These are important concerns in open grids, in which "community resources" are owned and managed by multiple stakeholders, and are dynamically organised in virtual organisations. Provenance enables users to trace how a particular result has been arrived at by identifying the individual services and the aggregation of services that produced such a particular output. Against this background, we present a research agenda to design, conceive and implement an industrial-strength open provenance architecture for grid systems. We motivate its use with three complex grid applications, namely aerospace engineering, organ transplant management and bioinformatics. Industrial-strength provenance support includes a scalable and secure architecture, an open proposal for standardising the protocols and data structures, a set of tools for configuring and using the provenance architecture, an open source reference implementation, and a deployment and validation in industrial context. The provision of such facilities will enrich grid capabilities by including new functionalities required for solving complex problems such as provenance data to provide complete audit trails of process execution and third-party analysis and auditing. As a result, we anticipate that a larger uptake of grid technology is likely to occur, since unprecedented possibilities will be offered to users and will give them a competitive edge
A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection
No full textProstate cancer (CaP) is currently the second leading cause of cancer-related deaths in the United States among men, but there is a paucity of non-invasive image-based information for CaP detection and staging in vivo. Studies have shown the utility of multi-protocol magnetic resonance imaging (MRI) to improve CaP detection accuracy by using both T2-weighted (T2w), dynamic contrast enhanced (DCE), and diffusion weighted (DWI) MRI information. In this thesis, we present methods for quantitative representation of structural and functional imaging data with the objective of building automated classifiers to improve CaP detection accuracy in vivo. In vivo disease presence was quantified via extraction of textural signatures from T2w MRI. Evaluation of these signatures showed that CaP appearance within each of the two dominant prostate regions (central gland, peripheral zone) is significantly different. A classifier trained on zone-specific features also yielded a higher detection accuracy compared to a simpler, monolithic combination of all the texture features. While a number of automated classifiers are available, classifier choice must account for limitations in dataset size and annotation (such as with in vivo prostate MRI). A comprehensive evaluation of different classifier schemes was undertaken for the specific problem of automated CaP detection via T2w MRI on a zonewise basis. It was found that simple classifiers yielded significantly improved CaP detection accuracies compared to complex classifiers. Fundamental differences must be overcome when constructing a unified quantitative representation of structural (T2w) and functional (DCE, DWI) MRI. We present a novel technique, referred to as consensus embedding, which constructs a lower dimensional representation (embedding) from a high dimensional feature space such that information (class-based or otherwise) is optimally preserved. Consensus embedding is shown to result in an improved representation of the data compared to alternative DR-based strategies in a variety of experimental domains. A unified quantitative representation of T2w, DCE, and DWI prostate MRI was constructed via the consensus embedding framework. This yielded an integrated classifier which was more accurate for CaP detection in vivo as compared to using structural and functional information individually, or using a naive combination of such differing types of information.Ph. D.Includes bibliographical referencesIncludes vitaby Satish Easwar Viswanat
Data from: Electrophoretic Collision of a DNA Molecule with a Small Elliptical Obstacle
No full textData in csv files.Cho, Jaeseol; Kumar, Satish; Dorfman, Kevin D.. (2013). Data from: Electrophoretic Collision of a DNA Molecule with a Small Elliptical Obstacle. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/153469
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