813 research outputs found

    Near-barrier Fusion Induced by Stable Weakly Bound and Exotic Halo Light Nuclei

    Get PDF
    The effect of breakup is investigated for the medium weight 6^{6}Li+59^{59}Co system in the vicinity of the Coulomb barrier. The strong coupling of breakup/transfer channels to fusion is discussed within a comparison of predictions of the Continuum Discretized Coupled-Channels model which is also applied to 6^{6}He+59^{59}Co a reaction induced by the borromean halo nucleus 6^{6}He.Comment: 6 pages, 3 figures. A talk given at the FUSION06: International Conference on Reaction Mechanisms and Nuclear Structure at the Coulomb barrier, March 19-23, 2006, San Servolo, Venezia, Ital

    Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses

    Get PDF
    Studies on the prediction of student success in distance learning have explored mainly demographics factors and student interactions with the virtual learning environments. However, it is remarkable that a very limited number of studies use information about the assignments submitted by students as influential factor to predict their academic achievement. This paper aims to explore the real importance of assignment information for solving students’ performance prediction in distance learning and evaluate the beneficial effect of including this information. We investigate and compare this factor and its potential from two information representation approaches: the traditional representation based on single instances and a more flexible representation based on Multiple Instance Learning (MIL), focus on handle weakly labeled data. A comparative study is carried out using the Open University Learning Analytics dataset, one of the most important public datasets in education provided by one of the greatest online universities of United Kingdom. The study includes a wide set of different types of machine learning algorithms addressed from the two data representation commented, showing that algorithms using only information about assignments with a representation based on MIL can outperform more than 20% the accuracy with respect to a representation based on single instance learning. Thus, it is concluded that applying an appropriate representation that eliminates the sparseness of data allows to show the relevance of a factor, such as the assignments submitted, not widely used to date to predict students’ academic performance. Moreover, a comparison with previous works on the same dataset and problem shows that predictive models based on MIL using only assignments information obtain competitive results compared to previous studies that include other factors to predict students performance

    Predicción del rendimiento académico en las nuevas titulaciones de grado de la EPS de la Universidad de Córdoba

    Get PDF
    En este artículo se describe una experiencia de innovación docente que tiene como finalidad predecir el rendimiento académico de los estudiantes de primer curso de grado universitario utilizando técnicas de minería de datos. La investigación se ha realizado utilizando información de los alumnos de tres asignaturas de introducción a la informática que se han impartido durante el primer cuatrimestre del curso 2010-11 en las distintas titulaciones de grado de la Escuela Politécnica Superior de la Universidad de Córdoba.SUMMARY -- In this paper, we describe an educational innovation experience about the prediction of the students’ academic performance during the first year of university degree by applying data mining techniques. The research has been carried out by using the information of students of three subjects about introduction to computer science during the first semester of 2010-11 academic year in the different degrees of the Higher Technical College of the University of Cordoba.Peer Reviewe

    Glycine transporters GlyT1 and GlyT2 are differentially modulated by glycogen synthase kinase 3β

    Get PDF
    © 2014 Elsevier Ltd. All rights reserved. Inhibitory glycinergic neurotransmission is terminated by the specific glycine transporters GlyT1 and GlyT2 which actively reuptake glycine from the synaptic cleft. GlyT1 is associated with both glycinergic and glutamatergic pathways, and is the main regulator of the glycine levels in the synapses. GlyT2 is the main supplier of glycine for vesicle refilling, a process that is vital to preserve the quantal glycine content in synaptic vesicles. Therefore, to control glycinergic neurotransmission efficiently, GlyT1 and GlyT2 activity must be regulated by diverse neuronal and glial signaling pathways. In this work, we have investigated the possible functional modulation of GlyT1 and GlyT2 by glycogen synthase kinase 3 (GSK3β). This kinase is involved in mood stabilization, neurodegeneration and plasticity at excitatory and inhibitory synapses. The co-expression of GSK3β with GlyT1 or GlyT2 in COS-7 cells and Xenopus laevis oocytes, leads to inhibition and stimulation of GlyT1 and GlyT2 activities, respectively, with a decrease of GlyT1, and an increase in GlyT2 levels at the plasma membrane. The specificity of these changes is supported by the antagonism exerted by a catalytically inactive form of the kinase and through inhibitors of GSK3β such as lithium chloride and TDZD-8. GSK3β also increases the incorporation of 32Pi into GlyT1 and decreases that of GlyT2. The pharmacological inhibition of the endogenous GSK3β in neuron cultures of brainstem and spinal cord leads to an opposite modulation of GlyT1 and GlyT2.Our results suggest that GSK3β is important for stabilizing and/or controlling the expression of functional GlyTs on the neural cell surface.Spanish Dirección General de Investigación Científica y Tecnica SAF2011-29961 and by an institutional grant from the ‘Fundación Ramón ArecesPeer Reviewe

    Binary reaction decays from 24Mg+12C

    Get PDF
    Charged particle and gamma decays in 24Mg* are investigated for excitation energies where quasimolecular resonances appear in 12C+12C collisions. Various theoretical predictions for the occurence of superdeformed and hyperdeformed bands associated with resonance structures with low spin are discussed within the measured 24Mg* excitation energy region. The inverse kinematics reaction 24Mg+12C is studied at E_lab(24Mg) = 130 MeV, an energy which enables the population of 24Mg states decaying into 12C+12C resonant break-up states. Exclusive data were collected with the Binary Reaction Spectrometer in coincidence with EUROBALL IV installed at the VIVITRON Tandem facility at Strasbourg. Specific structures with large deformation were selectively populated in binary reactions and their associated gamma decays studied. Coincident events associated with inelastic and alpha-transfer channels have been selected by choosing the excitation energy or the entry point via the two-body Q-values. The analysis of the binary reaction channels is presented with a particular emphasis on 24Mg-gamma, 20Ne-gamma and 16O-gamma coincidences. New information (spin and branching ratios) is deduced on high-energy states in 24Mg and 16O, respectively.Comment: 27 pages, 8 figures, 1 tabl

    Immunohistochemical study of nonspecific reactive hepatitis in dogs

    Get PDF

    Can existing assessment tools be used to track equity in protected area management under Aichi Target 11?

    Get PDF
    Aichi Target 11 (AT11) includes the commitment of 194 governments to equitably manage protected areas (PAs) by 2020. Here we evaluate whether existing PA Management Effectiveness (PAME) and social and governance assessment tools can be used to determine if AT11 meets equity goals. We find that PAME assessment conditions are insufficiently inclusive of relevant actors and do not satisfactorily allow for a diversity of perspectives to be expressed and accounted for, both of which are essential for equitable PA management. Furthermore, none of the analysed PAME tools fully cover multidimensional equity and thus they are inadequate for assessing progress towards equitable management in PAs. The available social and governance PA assessment tools stipulate more inclusive and participatory conditions within their guidelines, and the IUCN Governance Guidelines comprehensively capture equity dimensions in PA management, but results are not comparable across sites. We conclude that available assessment tools do not provide a reliable way to track equity in PAs at global scale. The IUCN Governance Guidelines could be adjusted to achieve this goal, providing that the information collected is made globally comparable, while ensuring transparency, accountability and room for contestation, including by communities whose livelihoods are directly implicated. Ultimately, developing and deploying globally comparable measures to evaluate equity is problematic, as the process of gathering comparable data inevitably obscures information that is highly relevant to resolving equity issues at local scales. This challenge must be met, however, if nations are to achieve and report on their success at meeting AT11 by 2020. © 2018 Elsevier LtdWe thank Jens Friis Lund from the University of Copenhagen for his great support in the writing of this publication. We also thank the following for their assistance in the data collection and analysis: April Eassom, Lauren Coad, Kathryn Knights, Jonas Geldmann, Murielle Misrachi and Naomi Kingston from UNEP-WCMC, PA Solutions, University of Oxford and University of Copenhagen, Phil Franks, Kate Schreckenberg and Dilys Roe from IIED, Marc Hockings, Fiona Leverington from IUCN WCPA/University of Queensland. N.Z-C. and N.B. acknowledge the funding provided by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 659881 to N.Z-C. and the Danish National Research Foundation for funding for the Centre for Macroecology, Evolution and Climate; grant number DNRF96 . We thank Jens Friis Lund from the University of Copenhagen for his great support in the writing of this publication. We also thank the following for their assistance in the data collection and analysis: April Eassom, Lauren Coad, Kathryn Knights, Jonas Geldmann, Murielle Misrachi and Naomi Kingston from UNEP-WCMC, PA Solutions, University of Oxford and University of Copenhagen, Phil Franks, Kate Schreckenberg and Dilys Roe from IIED, Marc Hockings, Fiona Leverington from IUCN WCPA/University of Queensland. N.Z-C. and N.B. acknowledge the funding provided by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 659881 to N.Z-C. and the Danish National Research Foundation for funding for the Centre for Macroecology, Evolution and Climate; grant number DNRF96
    corecore