73,566 research outputs found

    Experimental Study of Remote Job Submission and Execution on LRM through Grid Computing Mechanisms

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    Remote job submission and execution is fundamental requirement of distributed computing done using Cluster computing. However, Cluster computing limits usage within a single organization. Grid computing environment can allow use of resources for remote job execution that are available in other organizations. This paper discusses concepts of batch-job execution using LRM and using Grid. The paper discusses two ways of preparing test Grid computing environment that we use for experimental testing of concepts. This paper presents experimental testing of remote job submission and execution mechanisms through LRM specific way and Grid computing ways. Moreover, the paper also discusses various problems faced while working with Grid computing environment and discusses their trouble-shootings. The understanding and experimental testing presented in this paper would become very useful to researchers who are new to the field of job management in Grid.Comment: Fourth International Conference on Advanced Computing & Communication Technologies (ACCT), 201

    MetaboTools: A comprehensive toolbox for analysis of genome-scale metabolic models

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    Metabolomic data sets provide a direct read-out of cellular phenotypes and are increasingly generated to study biological questions. Our previous work revealed the potential of analyzing extracellular metabolomic data in the context of the metabolic model using constraint-based modeling. Through this work, which consists of a protocol, a toolbox, and tutorials of two use cases, we make our methods available to the broader scientific community. The protocol describes, in a step-wise manner, the workflow of data integration and computational analysis. The MetaboTools comprise the Matlab code required to complete the workflow described in the protocol. Tutorials explain the computational steps for integration of two different data sets and demonstrate a comprehensive set of methods for the computational analysis of metabolic models and stratification thereof into different phenotypes. The presented workflow supports integrative analysis of multiple omics data sets. Importantly, all analysis tools can be applied to metabolic models without performing the entire workflow. Taken together, this protocol constitutes a comprehensive guide to the intra-model analysis of extracellular metabolomic data and a resource offering a broad set of computational analysis tools for a wide biomedical and non-biomedical research community

    On-Line Resource Clearinghouse for Rapidly Growing Communities

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    According to the Environmental Protection Agency, sprawl is among the biggest environmental challenges facing New England, where more than 1,200 acres of open space are lost to development each week. New Hampshire is the fastest growing state in New England, and much of this growth is located within the 42 community coastal watershed served by the New Hampshire Estuaries Project. The Resource Clearinghouse for Rapidly Growing Communities project was created out of an interest in getting community decision makers the information and access to resources that they need to make informed decisions in this challenging time. The clearinghouse is designed to assist efforts to implement smart growth and other strategies to reduce growth impacts on the environment and quality of life. This project resulted from the 2003 Voices of Communities Experiencing Rapid Change Symposium held at the University of New Hampshire.A searchable database, or ā€œresource clearinghouse,ā€ focused on the top ten issues of rapidly growing communities in New Hampshire now exists on-line through a web interface at clearinghouse.unh.edu. This site is easy to use and offers users quick access to a variety of valuable information, including 1) mission and services, contact information, and website links for organizations and agencies that can assist communities with these issues, 2) direct access to ordering information or links to the text of publications and other tools (such as CD-ROMs, other clearinghouses, seminars, etc.), 3) background and contact information for experts on the top ten issues, including University of New Hampshire faculty, and 4) stories from communities that have implemented growth management or smart growth strategies, including process and outcome. This project was made possible through a partnership between the UNH Center for Integrative Regional Problem Solving and Cooperative Extension, in collaboration with the Nashua Regional Planning Commission, the Rockingham Planning Commission, New Hampshire Charitable Foundation, New Hampshire Office of Energy and Planning, Concord 20/20, GrowSmart Maine, the Southern Maine Regional Planning Commission, Wells National Estuarine Research Reserve, the UNH Library, and other departments and programs of the University of New Hampshire. We thank the New Hampshire Estuaries Project for their generous support of this project

    A control and monitoring oriented model of a film manufacturing process

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    This paper describes the development of a control and monitoring oriented model of a plastic film manufacturing process. The model is mainly derived from first-principles and has been implemented in the Matlab/Simulink dynamic simulation environment. The development of the model forms the first phase of a project that aims to develop a nonlinear sub-space based monitoring, fault detection and trouble shooting system for the film manufacturing process

    The Cord Weekly (February 9, 1968)

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    Manual on application of molecular tools in aquaculture and inland fisheries management. Part 2. Laboratory protocols and data analysis

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    The aim of this manual is to provide a comprehensive practical tool for the generation and analysis of genetic data for subsequent application in aquatic resources management in relation to genetic stock identification in inland fisheries and aquaculture. The material only covers general background on genetics in relation to aquaculture and fisheries resource management, the techniques and relevant methods of data analysis that are commonly used to address questions relating to genetic resource characterisation and population genetic analyses. No attempt is made to include applications of genetic improvement techniques e.g. selective breeding or producing genetically modified organisms (GMOs). The manual includes two ā€˜stand-aloneā€™ parts, of which this is the second volume: Part 1 ā€“ Conceptual basis of population genetic approaches: will provide a basic foundation on genetics in general, and concepts of population genetics. Issues on the choices of molecular markers and project design are also discussed. Part 2 ā€“ Laboratory protocols, data management and analysis: will provide step-by-step protocols of the most commonly used molecular genetic techniques utilised in population genetics and systematic studies. In addition, a brief discussion and explanation of how these data are managed and analysed is also included. This manual is expected to enable NACA member country personnel to be trained to undertake molecular genetic studies in their own institutions, and as such is aimed at middle and higher level technical grades. The manual can also provide useful teaching material for specialised advanced level university courses in the region and postgraduate students. The manual has gone through two development/improvement stages. The initial material was tested at a regional workshop and at the second stage feedback from participants was used to improve the contents

    The Ethics of Troubled Images

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    This special issue of Cultural Studies Review brings together an interdisciplinary range of scholarship to investigate the ethical implications of troubled images
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