822 resultados para Computer and network security
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Para empezar, se ha hecho un análisis de las diferentes posibilidades que se podían implementar para poder conseguir el objetivo del trabajo. El resultado final debe ser, disponer de máquinas para que el sistema operativo fuese independiente del hardware que se tiene instalado en él . Para ello, se decide montar un sistema operativo de base en todos los equipos del laboratorio, que tenga las necesidades mínimas que se necesitan, las cuales son una interfaz gráfica y conexión de red. Hay que intentar reducir el consumo de recursos al máximo con este sistema operativo mínimo para que el rendimiento de las máquinas sea lo más fluido posible para los usuarios. El sistema elegido fue Linux con su distribución Ubuntu [ubu, http] con los módulos mínimos que permita funcionar el software necesario. Una vez se instala el sistema operativo anfitrión, se instala el escritorio Xfce [ubu2, http], que es el más ligero de Ubuntu, pero que proporciona buen rendimiento. Después, se procedió a instalar un software de virtualización en cada equipo. En este caso se decidió, por las buenas prestaciones que ofrecía, que fuera VirtualBox [vir2,http] de Oracle. Sobre éste software se crean tantas máquinas virtuales (con sistema operativo Windows) como asignaturas diferentes se cursan en el laboratorio donde se trabaje. Con esto, se consigue que al arrancar el programa los alumnos pudieran escoger qué máquina arrancar y lo que es más importante, se permite realizar cualquier cambio en el hardware (exceptuando el disco duro porque borraría todo lo que se tuviera guardado). Además de no tener que volver a reinstalar el sistema operativo nuevamente, se consigue la abstracción del software y hardware. También se decide que, para tener un respaldo de las máquinas virtuales que se tengan creadas en VirtualBox, se utiliza un servidor NAS. Uno de los motivos de utilizar dicho servidor fue por aprovechar una infraestructura ya creada. Un servidor NAS da la posibilidad de recuperar cualquier archivo (máquina virtual) cuando haga falta porque haya alguna máquina virtual corrupta en algún equipo, o en varios. Este tipo de servidor tiene la gran ventaja de ser multicast, es decir, permite solicitudes simultáneas. ABSTRACT For starters, there has been an analysis of the different possibilities that could be implemented to achieve the objective of the work. This objective was to have machines for the operating system to be independent of the hardware we have installed on it. Therefore, we decided to create an operating system based on all computers in the laboratory, taking the minimum needs we need. This is a graphical interface and network connection. We must try to reduce the consumption of resources to the maximum for the performance of the machines is as fluid as possible for users. The system was chosen with its Ubuntu Linux distribution with minimum modules that allow us to run software that is necessary for us. Once the base is installed, we install the Xfce desktop, which is the lightest of Ubuntu, but which provided good performance. Then we proceeded to install a virtualization software on each computer. In this case we decided, for good performance that gave us, it was Oracle VirtualBox. About this software create many virtual machines (Windows operating system) as different subjects are studied in the laboratory where we are. With that, we got it at program startup students could choose which machine start and what is more important, allowed us to make any changes to the hardware (except the hard drive because it would erase all we have). Besides not having to reinstall the operating system again, we get the software and hardware abstraction. We also decided that in order to have a backup of our virtual machines that we created in VirtualBox, we use a NAS server. One reason to use that server was to leverage their existing network infrastructure. A NAS server gives us the ability to retrieve any file (image) when we do need because there is some corrupt virtual machine in a team, or several. This is possible because this type of server allows multicast connection.
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During the last three decades, FPGA technology has quickly evolved to become a major subject of research in computer and electrical engineering as it has been identified as a powerful alternative for creating highly efficient computing systems. FPGA devices offer substantial performance improvements when compared against traditional processing architectures via custom design and reconfiguration capabilities.
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Acknowledgements This research was supported by NERC grants (NE/L001764/1, NE/M010953/1). We are grateful to J. Still and A. Sandison for technical support and to the gypsum mines and C. Brolley for access and sampling. Critical comments from Cristiana Ciobanu, Eric Gloaguen and Georges Calas are gratefully acknowledged. The authors have no conflicts of interest to declare
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We are grateful to all those who helped with sample collection. This includes the MEDITS survey programme (IEO Mallorca) for Mediterranean samples. Portugal mainland samples were collected under the EU Data Collection Framework (DCF, PNAB). Azores specimens from the Department of Oceanography and Fisheries (DOP) of the University of the Azores (UAc) were collected under the project DEMERSAIS “Monitorização das espécies demersais dos Açores” financed by the Azorean government, and the project DEECON “Unravelling population connectivity for sustainable fisheries in the Deep Sea” project approved by the European Science Foundation (ESF) under the EUROCORES programme (proposal No 06-EuroDEEP-FP-008 & SFRH-EuroDEEP/0002/2007). This study was funded by the UK Natural Environment Research Council (NERC) Oceans 2025 Strategic Research Programme Theme 6 (Science for Sustainable Marine Resources). REB was supported by the Fisheries Society of the British Isles (FSBI), BSP was funded by the Fundação para a Ciência e a Tecnologia, SFRH/BPD/72351/2010 and JL was supported by The Alasdair Downes Marine Conservation Fund.
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Acknowledgements Mayuri Munasinghe was supported by a Commonwealth Scholarship (ref no. LKCS-2009-384). The development and use of the SNP chip was funded by a BBSRC grant BB/J003336/1. The authors thank Owen Price (University of Wollongong, Australia) for producing the coloured province map of Sri Lanka, Gareth Norton (Aberdeen) for merging the RDP1 SNP data with the Sri Lankan data and Tony Travis (Aberdeen) for help with PCA.
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Peer reviewed
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Peer reviewed
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Funding: The research was financially supported by the Holsworth Wildlife Research Endowment.
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We thank Karim Gharbi and Urmi Trivedi for their assistance with RNA sequencing, carried out in the GenePool genomics facility (University of Edinburgh). We also thank Susan Fairley and Eduardo De Paiva Alves (Centre for Genome Enabled Biology and Medicine, University of Aberdeen) for help with the initial bioinformatics analysis. We thank Aaron Mitchell for kindly providing the ALS3 mutant, Julian Naglik for the gift of TR146 cells, and Jon Richardson for technical assistance. We thank the Genomics and Bioinformatics core of the Faculty of Health Sciences for Next Generation Sequencing and Bioinformatics support, the Information and Communication Technology Office at the University of Macau for providing access to a High Performance Computer and Jacky Chan and William Pang for their expert support on the High Performance Computer. Finally, we thank Amanda Veri for generating CaLC2928. M.D.L. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust 096072), R.A.F. by a Wellcome Trust-Massachusetts Institute of Technology (MIT) Postdoctoral Fellowship, L.E.C. by a Canada Research Chair in Microbial Genomics and Infectious Disease and by Canadian Institutes of Health Research Grants MOP-119520 and MOP-86452, A.J. P.B. was supported by the UK Biotechnology and Biological Sciences Research Council (BB/F00513X/1) and by the European Research Council (ERC-2009-AdG-249793-STRIFE), KHW is supported by the Science and Technology Development Fund of Macau S.A.R (FDCT) (085/2014/A2) and the Research and Development Administrative Office of the University of Macau (SRG2014-00003-FHS) and R.T.W. by the Burroughs Wellcome fund and NIH R15AO094406. Data availability RNA-sequencing data sets are available at ArrayExpress (www.ebi.ac.uk) under accession code E-MTAB-4075. ChIP-seq data sets are available at the NCBI SRA database (http://www.ncbi.nlm.nih.gov) under accession code SRP071687. The authors declare that all other data supporting the findings of this study are available within the article and its supplementary information files, or from the corresponding author upon request.
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Acknowledgements This work was supported by the UK Energy Research Centre Phase 2, under its Energy and Environment theme Grant Number NE/J005924/1 and NE/G007748/1. Open Access funded by Natural Environment Research Council
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Funded by Natural Research Limited Natural Environment Research Council studentship. Grant Numbers: NE/J500148/1, NE/F021402/1
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Funded by Kone Foundation ERC-StG. Grant Number: 260393 Academy of Finland Centre of Excellence Programme 2012–2017
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Acknowledgements We would like to gratefully acknowledge the data provided by SEPA, Iain Malcolm. Mark Speed, Susan Waldron and many MSS staff helped with sample collection and lab analysis. We thank the European Research Council (project GA 335910 VEWA) for funding and are grateful for the constructive comments provided by three anonymous reviewers.
The Contribution of Agriculture, Forestry and other Land Use activities to Global Warming, 1990-2012
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Date of Acceptance: 16/12/2014 Acknowledgements: This work was carried out with generous funding by the Governments of Germany (GCP/GLO/286/GER) and Norway (GCP/GLO/325/NOR) to the ‘Monitoring and Assessment of GHG Emissions and Mitigation Potential from Agriculture’ Project of the FAO Climate, Energy and Tenure Division. P. Smith is a Royal Society Wolfson Merit Award holder, and his input contributes to the University of Aberdeen Environment and Food Security Theme and to Scotland's ClimateXChange. J. House was funded by a Leverhulme Research Fellowship. The FAO Statistics Division maintains the FAOSTAT Emissions database with regular program funds allocated through Strategic Objective 6. © 2015 John Wiley & Sons Ltd.
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Date of Acceptance: 15/04/2015