272 research outputs found

    CO oxidation on a single Pd atom supported on magnesia

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    The oxidation of CO on single Pd atoms anchored to MgO(100) surface oxygen vacancies is studied with temperature-programmed-reaction mass-spectrometry and infrared spectroscopy. In one-heating-cycle experiments CO2_2, formed from O2_2 and CO preadsorbed at 90 K, is detected at 260 K and 500 K. Ab-initio simulations suggest two reaction routes, with Pd(CO)2_2O2_2 and Pd(CO3_3)CO found as precursors for the low and high temperature channels, respectively. Both reactions result in annealing of the vacancy and induce migration and coalescence of the remaining Pd-CO to form larger clusters.Comment: 4 pages, 3 figures, scheduled for publication in PRL 18 June 200

    Impact de la communication dans le processus d’acquisition d’habiletĂ©s motrices :: expĂ©rimentation de deux mĂ©thodes en Ă©ducation physique avec des Ă©lĂšves allophones et francophones

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    Ce travail de mĂ©moire dĂ©veloppe une expĂ©rimentation en Ă©ducation physique qui a comme objectif de chercher la maniĂšre la plus adaptĂ©e de rĂ©aliser un apprentissage d’habiletĂ© motrice en tenant compte des difficultĂ©s de communication. Le but est de rĂ©aliser des formes finales de mouvements sur les thĂšmes de l’athlĂ©tisme (lancer du poids) et des agrĂšs (barres asymĂ©triques) avec deux mĂ©thodes d’apprentissage diffĂ©rentes. Un de ces processus d’apprentissage intĂšgre les nouvelles technologies et plus particuliĂšrement des iPads. Cette Ă©tude s’est dĂ©roulĂ©e durant 4 semaines au sein de deux classes du cycle 3 de l’école obligatoire de La Chaux-de-Fonds dont une classe d’accueil composĂ©e d’élĂšves allophones. Les rĂ©sultats dĂ©montrent que la grande majoritĂ© des Ă©lĂšves, qu’ils soient francophones ou allophones, prĂ©fĂšrent une mĂ©thode d’apprentissage enseignĂ©e traditionnellement. Selon eux, il suffirait d’y intĂ©grer la vidĂ©oscopie pour que le niveau de maĂźtrise de l’activitĂ© soit optimal. Cet Ă©crit est composĂ© de trois parties. La problĂ©matique dĂ©veloppe l’identification des deux objets de recherche, l’état des connaissances sur le problĂšme et les questions et objectifs de recherche. La mĂ©thodologie dĂ©finit la nature du corpus et les mĂ©thodes retenues pour le recueil des donnĂ©es. Finalement, l’analyse dĂ©crit les rĂ©sultats obtenus et la solution envisagĂ©e

    gafro: Geometric Algebra for Robotics

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    Geometry is a fundamental part of robotics and there have been various frameworks of representation over the years. Recently, geometric algebra has gained attention for its property of unifying many of those previous ideas into one algebra. While there are already efficient open-source implementations of geometric algebra available, none of them is targeted at robotics applications. We want to address this shortcoming with our library gafro. This article presents an overview of the implementation details as well as a tutorial of gafro, an efficient c++ library targeting robotics applications using geometric algebra. The library focuses on using conformal geometric algebra. Hence, various geometric primitives are available for computation as well as rigid body transformations. The modeling of robotic systems is also an important aspect of the library. It implements various algorithms for calculating the kinematics and dynamics of such systems as well as objectives for optimisation problems. The software stack is completed by python bindings in pygafro and a ROS interface in gafro_ros

    Synthesis of monodispersed model catalysts using softlanding cluster deposition

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    In nanocatalysis, clusters deposited on solid, well-defined surfaces play an important role. For the detection of size effects it is, however, important to prepare samples consisting of deposited clusters of a single size, as their chemical properties change with the exact number of atoms in the cluster. In this paper, the experimental tools are presented to prepare such model systems. The existence of monodispersed clusters is confirmed by various experimental findings. First, the carbonyl formation of deposited Nin clusters shows no change in the nuclearity when comparing the size of the deposited clusters with one of the formed carbonyls. Second, scanning tunneling microscopy (STM) studies show that fragmentation of Sin clusters upon deposition can be excluded. In addition, the adsorption behavior of CO on deposited Pd atoms points to the existence of single atoms on the surface. Furthermore, CO oxidation results on Aun clusters confirm the existence of monodispersed clusters trapped on well-defined adsorption sites. Finally, we use Monte-Carlo simulations to define the range of clusters and defect densities, for which monodispersed clusters can be expecte

    Response Burden and Dropout in a Probability-Based Online Panel Study – A Comparison between an App and Browser-Based Design

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    Survey respondents can complete web surveys using different Internet-enabled devices (PCs versus mobile phones and tablets) and using different software (web browser versus a mobile software application, “app”). Previous research has found that completing questionnaires via a browser on mobile devices can lead to higher breakoff rates and reduced measurement quality compared to using PCs, especially where questionnaires have not been adapted for mobile administration. A key explanation is that using a mobile browser is more burdensome and less enjoyable for respondents. There are reasons to assume apps should perform better than browsers, but so far, there have been few attempts to assess this empirically. In this study, we investigate variation in experienced burden across device and software in wave 1 of a three- wave panel study, comparing an app with a browser-based survey, in which sample members were encouraged to use a mobile device. We also assess device/software effects on participation at wave 2. We find that compared to mobile browser respondents, app respondents were less likely to drop out of the study after the first wave and the effect of the device used was mediated by subjective burden experienced during wave 1

    Data Privacy Concerns as a Source of Resistance to Complete Mobile Data Collection Tasks Via a Smartphone App

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    Smartphones present many interesting opportunities for survey research, particularly through the use of mobile data collection applications (apps). There is still much to learn, however, about how to integrate apps in general population surveys. Recent studies investigating hypothetical willingness to complete mobile data collection tasks via an app suggest there may be substantial resistance, in particular, due to concerns around data privacy. There is not much evidence about how privacy concerns influence actual decisions to participate in app-based surveys. Theoretical approaches to understanding privacy concerns and survey participation decisions would suggest that the influence of the former over the latter is likely to vary situationally. In this paper, we present results from a methodological experiment conducted in the context of a three-wave probability-based online panel survey of the general population as part of the 2019 Swiss Election Study ("Selects") testing different ways of recruiting participants to an app. Questions included at wave 1 about online data privacy concerns and comfort sharing different types of data with academic researchers allow us to assess their impact on both hypothetical willingness to download a survey app for completing questionnaires, to take and share photos, and to share the smartphone's GPS location and actual completion of these tasks. Our findings confirm that general concerns about online data privacy do influence hypothetical willingness to complete mobile data collection tasks, but may be overridden by how comfortable people feel about sharing specific types of data with researchers. When it comes to actual compliance with task requests, however, neither privacy concerns nor comfort sharing data seem to matter. We conclude with recommendations for exploring these relationships further in future app-based studies
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