Diss. Uppsala : Uppsala universitet, 2004.

This thesis investigates the diverse ways in which social agents construct the relationship between past, present and future through a study of historical consciousness and its role in the negotiation of identity and shifting power relations in the border region of Southwest Serbia. The focus of the research falls on ethnic relations between Serbs and Bosniaks, who predominantly inhabit the area, and the boundaries that they imagine surround the world they live in. The goal has been to trace the life of these ethnic boundaries, and with it the relationships between those who imagine them by following their transformations in history, as well as to inquire into elements of social patterns that may be discernable within a contextualized and historicized analysis of the region. In order to achieve this, I have analysed the diverse pasts and futures that coalesce in the many 'time spaces' that Southwest Serbia's social actors inhabit in any present moment and from which they (re)construct these boundaries and their identities. The research has been situated within the wider anthropological discussion about the relation of culture (memory) and history and draws on insights made by relevant studies and ethnographies conducted on the territory of the former Yugoslavia. The data presented demonstrates that ethnicity and nationality are not fully crystalized as concepts in Southwest Serbia, their contents are imagined in inconsistent ways in and between social groups, while ethno-national identities and histories are not on the whole felt to be crucial to one's personal sense of self, but are perceived and put to use as malleable political resources. As a result, the most dominant allegiance in Southwest Serbia is to one's family, the only group whose 'essence' escapes political malleability and whose members share a common cross-temporal vision.

abstract: The Ak-Chin Indian Community is a small community in southern Arizona comprised of roughly one thousand O’odham. The indigenous language of Ak-Chin is the ’O’odham ñeo’okĭ, O’odham language, however in recent decades the number of speakers of this language have begun to sharply decline. Due to a variety of sociological factors in interacting with the dominant colonial society, the people of Ak-Chin have begun a shift toward the predominant use of English in daily affairs. The goal of this thesis is to investigate the societal factors that have led to the decline of the O’odham language in Ak-Chin and to examine language policy and planning principles and practices which may serve as examples for the Ak-Chin community to re-establish a strong connection to their heritage language. / Dissertation/Thesis / Masters Thesis American Indian Studies 2017

Mass loss of alpine glaciers presently account for about half of the cryospheric contribution to the global sea-level rise. Mass balance of alpine glaciers has predominantly been monitored by; (1) glaciological and hydrological methods, and (2) satellite gravimetric methods using data from NASA’s Gravity Recovery and Climate Experiment (GRACE) satellite mission. However, the former can be logistically costly and have large extrapolation errors: measurements taken at monthly temporal scales are expensive and have a spatial resolution of roughly one kilometer. The latter provides monthly mass-balance estimates of aggregates of alpine glaciers, although the spatial resolution (~300 km) is far too coarse for assessing individual glaciers’ mass balance. Ground-based, time-lapse microgravity measurements can potentially overcome some of the disadvantages of the glaciological, hydrological, and satellite gravitational methods for assessing mass changes and their spatial distribution on a single glacier. Gravity models were utilized to predict the gravity signals of the summer-time mass balance, changes in the seasonal snow cover outside of the glacier, and the vertical gravity gradient (VGG) needed for the free-air correction on Wolverine Glacier, AK. The modeled gravity signal of the summer-time mass balance (average of -0.237 mGal) is more than an order of magnitude larger than the uncertainty of conventional relative gravimeters (±0.007 mGal). Therefore, modeling predict that the time-lapse gravitational method could detect the summer-time mass balance on Wolverine Glacier. The seasonal snow effect was shown to have the greatest influence (~ -0.15 mGal) on the outer 100 m boundary of the glacier and minimal effect (~ -0.02 mGal) towards the center, both larger than the uncertainty of relative gravimeters. The VGG has a positive deviation, about -0.1 to -0.2 mGal/m, from the normal VGG (-0.309 mGal/m). Thus, seasonal snow effect and VGG need to be correctly accounted for when processing gravity measurements to derive the residual gravity signal of the glacier mass balance. Accurate measurements of elevation changes, seasonal snow depth, and the VGG should be performed in future gravity surveys of glaciers. / Geology

Les ingénieurs utilisent de plus en plus de modèles numériques leur permettant de diminuer les expérimentations physiques nécessaires à la conception de nouveaux produits. Avec l’augmentation des performances informatiques et numériques, ces modèles sont de plus en plus complexes et coûteux en temps de calcul pour une meilleure représentation de la réalité. Les problèmes réels de mécanique sont sujets en pratique à des incertitudes qui peuvent impliquer des difficultés lorsque des solutions de conception admissibles et/ou optimales sont recherchées. La fiabilité est une mesure intéressante des risques de défaillance du produit conçu dus aux incertitudes. L’estimation de la mesure de fiabilité, la probabilité de défaillance, nécessite un grand nombre d’appels aux modèles coûteux et deviennent donc inutilisable en pratique. Pour pallier ce problème, la métamodélisation est utilisée ici, et plus particulièrement les méthodes AK qui permettent la construction d’un modèle mathématique représentatif du modèle coûteux avec un temps d’évaluation beaucoup plus faible. Le premier objectif de ces travaux de thèses est de discuter des formulations mathématiques des problèmes de conception sous incertitudes. Cette formulation est un point crucial de la conception de nouveaux produits puisqu’elle permet de comprendre les résultats obtenus. Une définition des deux concepts de fiabilité et de robustesse est aussi proposée. Ces travaux ont abouti à une publication dans la revue internationale Structural and Multidisciplinary Optimization (Lelièvre, et al. 2016). Le second objectif est de proposer une nouvelle méthode AK pour l’estimation de probabilités de défaillance associées à des évènements rares. Cette nouvelle méthode, nommée AK-MCSi, présente trois améliorations de la méthode AK-MCS : des simulations séquentielles de Monte Carlo pour diminuer le temps d’évaluation du métamodèle, un nouveau critère d’arrêt sur l’apprentissage plus stricte permettant d’assurer le bon classement de la population de Monte Carlo et un enrichissement multipoints permettant la parallélisation des calculs du modèle coûteux. Ce travail a été publié dans la revue Structural Safety (Lelièvre, et al. 2018). Le dernier objectif est de proposer de nouvelles méthodes pour l’estimation de probabilités de défaillance en grande dimension, c’est-à-dire un problème défini à la fois par un modèle coûteux et un très grand nombre de variables aléatoires d’entrée. Deux nouvelles méthodes, AK-HDMR1 et AK-PCA, sont proposées pour faire face à ce problème et sont basées respectivement sur une décomposition fonctionnelle et une technique de réduction de dimension. La méthode AK-HDMR1 fait l’objet d’une publication soumise à la revue Reliability Engineering and Structural Safety le 1er octobre 2018. / Engineers increasingly use numerical model to replace the experimentations during the design of new products. With the increase of computer performance and numerical power, these models are more and more complex and time-consuming for a better representation of reality. In practice, optimization is very challenging when considering real mechanical problems since they exhibit uncertainties. Reliability is an interesting metric of the failure risks of design products due to uncertainties. The estimation of this metric, the failure probability, requires a high number of evaluations of the time-consuming model and thus becomes intractable in practice. To deal with this problem, surrogate modeling is used here and more specifically AK-based methods to enable the approximation of the physical model with much fewer time-consuming evaluations. The first objective of this thesis work is to discuss the mathematical formulations of design problems under uncertainties. This formulation has a considerable impact on the solution identified by the optimization during design process of new products. A definition of both concepts of reliability and robustness is also proposed. These works are presented in a publication in the international journal: Structural and Multidisciplinary Optimization (Lelièvre, et al. 2016). The second objective of this thesis is to propose a new AK-based method to estimate failure probabilities associated with rare events. This new method, named AK-MCSi, presents three enhancements of AK-MCS: (i) sequential Monte Carlo simulations to reduce the time associated with the evaluation of the surrogate model, (ii) a new stricter stopping criterion on learning evaluations to ensure the good classification of the Monte Carlo population and (iii) a multipoints enrichment permitting the parallelization of the evaluation of the time-consuming model. This work has been published in Structural Safety (Lelièvre, et al. 2018). The last objective of this thesis is to propose new AK-based methods to estimate the failure probability of a high-dimensional reliability problem, i.e. a problem defined by both a time-consuming model and a high number of input random variables. Two new methods, AK-HDMR1 and AK-PCA, are proposed to deal with this problem based on respectively a functional decomposition and a dimensional reduction technique. AK-HDMR1 has been submitted to Reliability Enginnering and Structural Safety on 1st October 2018.

L’objectif de ce travail fut d’améliorer la modélisation et la simulation de la polymérisation radicalaire dans des réacteurs continus et discontinus. Une solution analytique explicite généralisée (AS) fut obtenue dans le cas de la polymérisation en masse/solution, homogène et isotherme menée dans un réacteur fermé de volume variable. Les différentes étapes considérées furent l'initiation, la propagation, le transfert au monomère, au solvant, à un agent de transfert de chaîne, la terminaison par combinaison et dismutation. Différents modèles rendant compte des effets de gel, de vitrification et de cage ont également été considérés. AS a été validée avec succès par comparaison avec des solutions numériques et des données expérimentales de la littérature. Par ailleurs, AS a été étendue à des conditions pour lesquelles elle ne fut pas originellement développée comme par exemple des conditions non isothermes. La polyvalence et la flexibilité de AS sur l’ensemble de l’échelle de conversion du monomère furent ainsi démontrées. Ensuite, pour élargir encore plus son champ d'application, AS fut utilisée dans des simulations numériques (CFD). Une nouvelle transformation très simple a été proposée afin d’adimensionnaliser les constantes cinétiques en terme de concentration. Cela a permis de rentrer dans les simulations les données chimiques sous leur forme originale en mole et de faciliter ainsi le codage et le débogage du code de calcul. Cette transformation a ensuite été utilisée pour évaluer trois géométries tubulaires de microréacteur, un réacteur tubulaire droit (STR), à géométrie hélicoïdale (CTR) et à inversion de flux (CFIR), dans des conditions d'alimentation différentes (fluides d’entrée non ou parfaitement mélangés) et à de très faibles nombres de Reynolds (<1). La modélisation a été réalisée avec des paramètres constants ou variables des propriétés physiques du fluide sous écoulement (densité, viscosité et conductivité thermique) ainsi qu’en variant de manière discrète les coefficients de diffusion. Leurs effets sur les résultats de simulation ont été observés et comparés avec les données expérimentales publiées pour 4 monomères différents et furent en très bon accord. Les résultats pour le cas d’un mélange parfait furent indépendants de la géométrie des microréacteurs. Le CFIR semble être le réacteur le plus prometteur puisque, dans les conditions de microréaction étudiées, il a permis le meilleur contrôle des caractéristiques du polymère synthétisé. / This thesis aimed at improving the modeling and simulation of free radical polymerization (FRP) in batch as well as in flow reactors. A generalized explicit analytical solution (AS) was obtained in case of variable volume, bulk/solution polymerization, homogeneous and isothermal batch reactor. The reaction steps included initiation, propagation, transfer to monomer, transfer to solvent, transfer to chain transfer agent (CTA), termination by combination and disproportionation. Different models of gel, glass and cage effects were also implemented explicitly. AS was validated against numerical solutions as well as published experimental data and was found in good agreement. Furthermore, its applicability was extended to conditions for which AS was not derived, i.e. non-isothermal conditions. The versatility and flexibility of AS over the complete range of monomer conversion were thus demonstrated. Then, to broaden its applications range even more, AS was used in CFD simulations. A new and simple transformation was proposed to make kinetic rate coefficients dimensionless in terms of concentration. This enabled chemical data to be fed in molar form to CFD modeling. It also enabled easy coding and debugging by keeping the original form of generation terms intact. The results were found to be improved after validation against experimental data. This transformation was then used for evaluating three tubula microreactor geometries, namely straight tube reactor (STR), coiled tube reactor (CTR) and coil flow inverter reactor (CFIR), under different feed conditions (unmixed or perfectly mixed) at very low Reynolds numbers (<1). The modeling for FRP was performed with constant or variable fluid physical parameters (density, viscosity and thermal conductivity) along with discrete variation of diffusion coefficients. Their effects on simulation results were observed and compared with published experimental data for 4 different monomers and were found to match perfectly. Results for mixed feed condition were found to be independent of microreactor geometry. CFIR seems to be the most promising reactor design under microreaction investigated conditions as it allowed the best control over polymer characteristics.

In den letzten Jahren haben Innovationen bei Datenquellen und Methoden für die sozialwissenschaftliche Forschung zugenommen. Diese Forschungsarbeit zielt darauf ab, die Auswirkungen dieser Innovationen auf drei Praxisgemeinschaften besser zu verstehen: qualitativ Forschende, Big Social Data Forschende und Datenkurator*innen. Folgenden Forschungsfragen werden behandelt. RQ1: Wie unterscheidet sich die Kuratierung von Big Social Data und qualitativen Daten? RQ2: Welche Auswirkungen haben diese Ähnlichkeiten und Unterschiede auf die Kuratierung von Big Social Data und qualitativen Daten und was können wir aus der Kombination dieser beiden Communities lernen? Ich beantwortete diese Fragen durch eine Literaturrecherche, in der ich Gemeinsamkeiten zwischen qualitativer Datennachnutzung und Big Social Data identifizierte. Dann führte ich semi-strukturierte Interviews mit den drei Praxisgemeinschaften durch. Die Analyse identifizierte sechs Schlüsselthemen für die qualitative Datennachnutzung und Big Social Data: Kontext, Datenqualität und Vertrauenswürdigkeit, Datenvergleichbarkeit, informierte Einwilligung, Datenschutz und Vertraulichkeit sowie geistiges Eigentum und Dateneigentum. Ich habe außerdem fünf weitere Themen identifiziert: Domänenunterschiede, Strategien für eine verantwortungsvolle Praxis, Fragen der Datenpflege, Menschen oder Inhalte als Untersuchungsobjekte sowie unterschiedliche Schwerpunkte und Ansätze. Die Verbindung dieser drei Praxisgemeinschaften kann ein breiteres Verständnis der Schlüsselfragen unterstützen und zu verantwortungsbewussteren Forschungspraktiken führen. Datenkurator*innen verfügen über die Fähigkeiten und Perspektiven, um zwischen den Praxisgemeinschaften zu übersetzen und eine verantwortungsvolle qualitative Nachnutzung von Daten und Big Social Data zu unterstützen. / Recent years have seen the rise of innovations in data sources and methods for social science research. This research aims to better understand the impact of these innovations on three communities of practice: qualitative researchers, big social researchers, and data curators. I address the following research questions. RQ1: How is big social data curation similar to and different from qualitative data curation? RQ1a: How are epistemological, ethical, and legal issues different or similar for qualitative data reuse and big social research? RQ1b: How can data curation practices support and resolve some of these epistemological and ethical issues? RQ2: What are the implications of these similarities and differences for big social data curation and qualitative data curation, and what can we learn from combining these two conversations? I answered these questions through a literature review, in which I identified issues in common between qualitative data reuse and big social research. Then I conducted semi-structured interviews with the three communities of practice. The research identified six key issues for qualitative data reuse and big social research: context, data quality and trustworthiness, data comparability, informed consent, privacy and confidentiality, and intellectual property and data ownership. I also identified five additional themes: domain differences, strategies for responsible practice, data curation issues, human subjects vs. content, and different focuses and approaches. Connecting these three communities of practice can support a broader understanding of the key issues and lead to more responsible research practices. Data curators have the skills and perspectives to translate between communities of practice and provide guidance for responsible qualitative data reuse and big social data.

The aim of this thesis is to compare the ideas Ziya G&ouml / kalp and Yusuf Ak&ccedil / ura on Turkism. Nationalism emerged in the 18th century in Western Europe has been a real force in world politics for the last two centuries. Naturally, towards the end of the 19th century, the Ottoman Empire with many different ethnic groups within its borders was influenced by Western nationalist movements. Analyzing Turkish nationalism, it is seen that from the late 18th century to the announcement of the Second Constitution in 1908, Turkish nationalism went parallel to the modernization attempts of the Ottoman reformers. The Ottoman bureaucrats considered modernity as a goal to overcome the difficulties of the Ottoman Empire. Ottomanism and Islamism were the sub-ideologies of the state, which were essential for its survival. However, after the Balkan wars, Turkism became popular among ottoman intellectuals. Both G&ouml / kalp and Ak&ccedil / ura played a leading role in the direction of Turkish nationalism during the transition from a multi-ethnic Ottoman Empire to a secular and modern Turkish nation-state. Additionally, after the foundation of the Turkish nation-state, they shaped the content of the reforms of the new state with their nationalist way of thinking. In this respect, they served as the intellectual sources of Turkish nationalism. The main purpose of this thesis is to offer an analytical framework for understanding the peculiarities of G&ouml / kalp and Ak&ccedil / ura&rsquo / s nationalist thoughts during the late Ottoman and early Republican periods. In this context, this thesis examines the ideas of the two scholars on a comparative basis and aims to reveal the differences and similarities in their ideas.

Top researchers and outstanding scientists are an essential source of science-based innovation and regional development. The location pattern and international movements of the scientific elite, are, thus, of fundamental importance. However, despite a growing interest, there is only little empirical evidence about these core issues. Drawing on the results of a world-wide survey of 720 &#8213;star scientists&#8214; (identified by the number of citations they generated in journals in the ISI databases in the period 1981-2002) this paper seeks to explore the role of islands of innovation in providing employment opportunities for stars. It is shown that US and European islands of innovation and their regional labor markets are at the forefront when it comes to produce (i.e. to educate) and to employ star scientists and to exchange them with other places. Furthermore, the paper provides evidence for the formation of a network among innovative regional labor markets based on international movements of the best and brightest scientific minds. (author´s abstract) / Series: SRE - Discussion Papers

Thesis (Ph, D.)--Miami University, Dept. of Chemistry and Biochemistry, 2008. / Title from second page of PDF document. Includes bibliographical references (p. 77-83).