84 resultados para fragment contributions


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Unique contributions of Big Five personality factors to academic performance in young elementary school children were explored. Extraversion and Openness (labeled “Culture” in our study) uniquely contributed to academic performance, over and above the contribution of executive functions in first and second grade children (N = 446). Well established associations between Conscientiousness and academic performance, however, could only be replicated with regard to zero-order correlations. Executive functions (inhibition, updating, and shifting), for their part, proved to be powerful predictors of academic performance. Results were to some extent dependent on the criterion with which academic performance was measured: Both personality factors had stronger effects on grades than on standardized achievement tests, whereas the opposite was true for executive functions. Finally, analyses on gender differences revealed that Extraversion and Openness/Culture played a more dominant role in girls than in boys, but only regarding grades.

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Within the scope of Festival of Languages took place in 2009 the Conference Advances in Kartvelian Morphology and Syntax. Selected presentations are presented in this publication. The authors discuss topics such as anaphora in Svan, intonation in Georgien, pragmatics of subordinating clauses in Georgian, but also research on modern developments as SMS-communication in Georgian language area etc. DEUTSCH: Im Rahmen des Festivals der Sprachen fand im Jahre 2009 an der Universität Bremen die Tagung Advances in Kartvelian Morphology and Syntax statt. Ausgewählte Vorträge werden mit dieser Publikation vorgestellt. Die Autoren behandeln unter anderem Themen wie Ana-pher im Svanischen, Intonation im Georgischen, Pragmatik von Nebensätzen des Georgi-schen, aber auch Forschungen über moderne Entwicklungen wie die SMS-Kommunikation im georgischsprachigen Sprachraum usw. CONTENTS: NINO AMIRIDZE, TAMAR RESECK & MANANA TOPADZE GÄUMANN: Preface; KEVIN TUITE: The Kartvelian suffixal intransitive; MANANA KOBAIDZE: Towards the morphological and syntactical classification of Georgian verbs; RENÉ LACROIX: Origin of Sets I–II suffixes in South Caucasian through reanalysis; STAVROS SKOPETEAS & CAROLINE FÉRY: Prosodic cues for exhaustive interpretations: a production study on Georgian intonation; WINFRIED BOEDER: Anaphora in Svan; YASUHIRO KOJIMA : The position of rom and the pragmatics of subordinate clauses in Georgian; NATIA AMAGHLOBELI : Morphological aspects of Georgian SMS language.

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Determining the contribution of wood smoke to air pollution in large cities such as London is becoming increasingly important due to the changing nature of domestic heating in urban areas. During winter, biomass burning emissions have been identified as a major cause of exceedances of European air quality limits. The aim of this work was to quantify the contribution of biomass burning in London to concentrations of PM2:5 and determine whether local emissions or regional contributions were the main source of biomass smoke. To achieve this, a number of biomass burning chemical tracers were analysed at a site within central London and two sites in surrounding rural areas. Concentrations of levoglucosan, elemental carbon (EC), organic carbon (OC) and K+ were generally well correlated across the three sites. At all the sites, biomass burning was found to be a source of OC and EC, with the largest contribution of EC from traffic emissions, while for OC the dominant fraction included contributions from secondary organic aerosols, primary biogenic and cooking sources. Source apportionment of the EC and OC was found to give reasonable estimation of the total carbon from non-fossil and fossil fuel sources based upon comparison with estimates derived from 14C analysis. Aethalometer-derived black carbon data were also apportioned into the contributions frombiomass burning and traffic and showed trends similar to those observed for EC. Mean wood smoke mass at the sites was estimated to range from 0.78 to 1.0 μgm-3 during the campaign in January–February 2012. Measurements on a 160m tower in London suggested a similar ratio of brown to black carbon (reflecting wood burning and traffic respectively) in regional and London air. Peaks in the levoglucosan and K+ concentrations were observed to coincide with low ambient temperature, consistent with domestic heating as a major contributing local source in London. Overall, the source of biomass smoke in London was concluded to be a background regional source overlaid by contributions from local domestic burning emissions. This could have implications when considering future emission control strategies during winter and may be the focus of future work in order to better determine the contributing local sources.

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A feasibility study by Pail et al. (Can GOCE help to improve temporal gravity field estimates? In: Ouwehand L (ed) Proceedings of the 4th International GOCE User Workshop, ESA Publication SP-696, 2011b) shows that GOCE (‘Gravity field and steady-state Ocean Circulation Explorer’) satellite gravity gradiometer (SGG) data in combination with GPS derived orbit data (satellite-to-satellite tracking: SST-hl) can be used to stabilize and reduce the striping pattern of a bi-monthly GRACE (‘Gravity Recovery and Climate Experiment’) gravity field estimate. In this study several monthly (and bi-monthly) combinations of GRACE with GOCE SGG and GOCE SST-hl data on the basis of normal equations are investigated. Our aim is to assess the role of the gradients (solely) in the combination and whether already one month of GOCE observations provides sufficient data for having an impact in the combination. The estimation of clean and stable monthly GOCE SGG normal equations at high resolution ( >  d/o 150) is found to be difficult, and the SGG component, solely, does not show significant added value to monthly and bi-monthly GRACE gravity fields. Comparisons of GRACE-only and combined monthly and bi-monthly solutions show that the striping pattern can only be reduced when using both GOCE observation types (SGG, SST-hl), and mainly between d/o 45 and 60.