17 research outputs found

    Annotation tool for enhancing e-learning courses

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    One of the most popular forms of learning is through reading and for years we have used hard copy documents as the main material to learn. With the advent of the Internet and the fast development of new technologies, new tools have been developed to assist the learning process. However, reading is still the main learning method that is an individual activity. In this paper we propose a highlighting tool that enables the reading and learning process to become a collaborative and shared activity. In other words, the highlighting tool supports the so-called active-reading, a well-known and efficient means of learning. The highlighting tool brings to the digital environment the same metaphor of the traditional highlight marker and puts it in a social context. It enables users to emphasize certain portions of digital learning objects. Furthermore, it provides students, tutors, course coordinators and educational institutions new possibilities in the teaching and learning process. In this work we expose the first quantitative and qualitative results regarding the use of the highlight tool by over 750 students through 8 weeks of courses. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-33642-3_6.EC/ECP 2008 EDU 428016CAPE

    Interrogating violence against women and state violence policy: Gendered intersectionalities and the quality of policy in The Netherlands, Sweden and the Uk

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    This article builds on feminist scholarship on intersectionality to address violence against women, and state policy thereon. It takes up the challenge of analysing the complex, situated and spatial relationship between theorizing on violence against women and state policy on such violence. Drawing on extensive comparative European data, it explores the relations of gender and intersectionality, conceptualized as gendered intersectionalities, by examining how multiple inequalities are made visible and invisible in state policy and debates in the Netherlands, Sweden and the UK. Attention is paid to different forms of gendered intersectionalities in policy, for example, tendencies to degender violence against women. A key aim of the article is to investigate how comparative analysis can be a starting point for assessing if, how and to what extent the inclusion of multiple inequalities could increase the quality of policy, for both reducing and stopping violence, and assisting those subject to violence

    Neural fuzzy model applied to autohydrolysis of Paulownia trihybrid

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    A central composite factorial design was used in conjunction with the software ANFIS Edit MATLAB 6.5 to develop fuzzy neural model that reproduced the experimental results of the dependent variables with errors less than 6%. The model is therefore effective with a view to simulating the autohydrolysis process. In this study it was evaluated the potential of a species trihybrid Paulownia fortunei, tormentosa and elongata as an industrial crop in terms of its contents in holocellulose, lignin, xylo-oligomers, monomers and other glucan and its use for making cellulose pulp. It was optimized biomass autohydrolysis processes to obtain valuable liquid and solid phases that can be used to produce liquid fuels and cellulosic pulp. The process was modelled in order to optimize the extraction of xylo-oligomers and xylose in the liquid phase while preserving the integrity of cellulose fibres.The authors acknowledge financial support from the Grupo Empresarial ENCE, S.A. (San Juan delPuerto factory, Huelva, Spain) and VICIDEX EUROPA S.L., and the CICYT-FEDER (Science and Technology Inter Ministerial Commission, Spanish Government European Regional Development Fund), projects numbers CTQ2006-10329/PPQ and AGL2009-13113 for their support, and to the "Ramon y Cajal", "Juan de la Cierva" and FPU Programs of the Spanish Ministry of Science and Innovation

    Isotope-like effect in YVO4:Eu3+ nanopowders: Raman spectroscopy

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    In this paper, we describe synthesis and characterization of YVO 4 and Eu 3+ -doped YVO 4 nanopowders. Two methods of preparation were used—solution combustion synthesis (SCS) and classical ceramic method (CCM)—and compared. Morphology and structure of all samples were characterized with atomic-force microscopy (AFM), X-ray diffraction (XRD), and field-emission scanning electron microscopy (SEM). Raman spectroscopy was used to discuss the isotope-like effect. It is confirmed that doping with Eu ions results in a change of Raman spectra of doped samples—new modes arise, and intensity of existing ones change. Influence of different preparation methods on isotope-like effect is presented with detailed calculations of shifted modes. © 2019 John Wiley & Sons, Ltd

    ATLAS Data Challenge 2: A massive Monte Carlo production on the GRID

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    The study and validation of the ATLAS Computing Model started three years ago and will continue for few years in the context of the so-called Data Chal-lenges (DC). DC1 was conducted during 2002-03; the main goals achieved were to set up the simulation data production infrastructure in a real worldwide collaborative effort and to gain experience in exercising an ATLAS wide production model. DC2 (from May until December 2004) is divided into three phases: (i) generate Monte Carlo data using GEANT4 on three different Grid projects: LCG, GRID3 and NorduGrid; (ii) simulate the first pass recon-struction of real data expected in 2007, and (iii) test the Distributed Analysis model. Experience with the use of the system in world-wide DC2 production of ten million events will be presented. We also present how the three Grid fla-vours are operated. Finally we discuss the first prototypes of Distributed Analy-sis systems
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