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See detailAccommodation of non-nationals in Luxembourg
Wronska, Iwona; Murdock, Elke UL

Scientific Conference (2019, December 05)

The Grand Duchy of Luxembourg within its current borders was established in the end of 19th century. In the space of less than 150 years the population of this state more than doubled - largely ... [more ▼]

The Grand Duchy of Luxembourg within its current borders was established in the end of 19th century. In the space of less than 150 years the population of this state more than doubled - largely attributable to immigration. Today, 48% of the population are foreigners. We would like to argue that the current immigration policy of Luxembourg is based on the strategy of accommodation. We can identify three major pillars of this strategy. The first pillar creates welcome conditions to adaptation within the host society. The second pillar brings liberal provisions for naturalization and the third pillar offers open and generous admission of refugees. [less ▲]

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See detailRezente geodätische Akvtitäten im Südatlantik: GNSS und Pegelinstallationen auf Südgeorgien und Tristan da Cunha
Teferle, Felix Norman UL

Presentation (2019, December 05)

Provides details of the recent scientific activities in South Georgia and Tristan da Cunha giving some of the latest results. This is a combination of the results presented at IUGG2019 and ISAES2019.

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See detailAssessment of Fundamental Motives
Dörendahl, Jan UL

Doctoral thesis (2019)

Motivation, that is, the orientation of the momentary execution of life towards a positively evaluated target state (Rheinberg & Vollmeyer, 2012), is one of the most important psychological constructs ... [more ▼]

Motivation, that is, the orientation of the momentary execution of life towards a positively evaluated target state (Rheinberg & Vollmeyer, 2012), is one of the most important psychological constructs related to success in various life domains such as school, work or family life (Pellegrino & Hilton, 2013). To be able to provide guidance to people and to support them in achieving success in these life domains, it is essential to identify those motivational aspects that are relevant for the respective life domain and to make them assessable. Here, motivational aspects that are inherent in a person, such as motives or goals, are promising candidates. Both constructs can be defined as explicit cognitive representations of desirable end states (Brandstätter, Schüler, Puca, & Lozo, 2013; Karoly, 1999). However, motives and goals are distinguished at the level of abstraction, that is, goals are a concrete representation of more abstract motives (Elliot & Church, 1997). In order to broaden our understanding in the assessment of motives and goals that are of relevance for education and work as two of the most important life domains, three studies were conducted in the context of the presented dissertation. In Paper 1, we revised the theory of Fundamental Motives (Havercamp, 1998; Reiss & Havercamp, 1998) and developed a time- and cost-efficient questionnaire to assess them in research settings. Fundamental Motives are a self-contained framework of 16 motives considered to be relevant for people in their everyday lives. The framework is appealing as it provides an approach to narrow down the plethora of motives to those relevant in a variety of life domains. In addition, the framework is already used extensively in coaching for work and other areas of life (Reyss & Birkhahn, 2009). First, an initial item pool was successively refined into 16 scales with three items each (named 16 motives research scales; 16mrs) across two samples with a total sample size of N = 569 representative for the German population with respect to age, sex and education. Second, we used another representative sample (N = 999) to validate the questionnaire and explore its nomological network. Results support the reliability and validity of the 16mrs for the assessment of Fundamental Motives. Investigations of the nomological network indicate, that Fundamental Motives represent aspects of personality that are different from the Big Five personality traits (e.g., Costa & McCrae, 1992) and cover motivational aspects beyond the well-established Power, Achievement, Affiliation, Intimacy, and Fear motives (Heckhausen & Heckhausen, 2010). Paper 2 was based on the results of Study 1, since we applied the framework of Fundamental Motives, as measured by the 16mrs constructed in Study 1, to the life domain of work. In coaching in work contexts, Fundamental Motives have been used extensively, not least because of their fine-grained level of abstraction that allows for a straightforward interpretation by the client. By investigating how the satisfaction of fine-grained motives supplied by characteristics of the workplace (i.e., need-supply fit) contribute to job satisfaction, we further validated the framework itself. At the same time were able to gain more detailed insights into how need-supply fit impacts job satisfaction, compared to broader motive or value clusters. To this end, we used the representative sample from Study 1 (N = 999) and selected all working people (n = 723). We applied polynomial regression in combination with response surface analysis (e.g., Edwards & Parry, 1993), which allows to simultaneously investigate how different levels of Fundamental Motives on the one hand and different levels of supply to satisfy these motives at the workplace on the other contribute to job satisfaction. We found that job satisfaction was highest when the level of supply by the workplace exceeded the level of the motive for Social Acceptance, Status, Autonomy, Sex, and Retention motives. When a high level of the motive and a high level of supply met, job satisfaction was highest for Curiosity, Idealism, and Social Participation motives. When the supplies fell short compared to the level of the motive, job satisfaction was negatively affected by the need-supply fit of Social Acceptance, Status, Sex, Retention, Curiosity, and Idealism motives. The results can be used in coaching and career development to uncover potential causes of low job satisfaction and provide guidance to clients on how to enhance their job satisfaction. In Paper 3, we shifted the focus to education as another major life domain. Here, achievement motivation has been identified as one of the major driving forces for progression and success (Schiefele & Schaffner, 2015). On a more concrete level compared to achievement motivation, Achievement Goals have been established as students’ cognitive representations of desired and undesired end states in educational achievement contexts (Elliot & Thrash, 2002; Hulleman, Schrager, Bodmann, & Harackiewicz, 2010). These goals typically focus on mastery, that is learning as much as possible, and performance, that is outperforming others or avoiding being outperformed. So far, Achievement Goals have been mostly conceptualized as domain-specific (Bong, 2001). Although this assumption is supported by previous studies, research on the processes operating behind the domain- specificity is scarce. The dimensional comparisons theory (Möller & Marsh, 2013) has introduced dimensional comparisons as a potential process operating behind the domain- specificity. Dimensional comparisons describe intrapersonal comparisons of characteristics in a domain with characteristics in another domain for the sake of self-evaluation. Previous investigations indicated that dimensional comparison processes are involved in the formation of the domain-specificity of important educational constructs, such as Self-Concept or Test Anxiety. Consequently, our aim in study 3 was to investigate, if dimensional comparison processes operate in the formation of the domain-specificity of Achievement Goals. To this end, we used a sample of N = 381 German ninth and tenth grade students in six German highest-track schools. Results indicate that dimensional comparison processes impact the domain specificity of Achievement Goals. Thus, the results extend our understanding of the domain specificity of Achievement Goals and simultaneously add to the validity of the dimensional comparison theory. In conclusion, the presented scientific work adds to the assessment of motives and goals that are crucially important in various life domains, but especially in work and educational settings. The contributions of this dissertation to the existing literature include (1) the revision of a comprehensive motivational framework (Paper 1), (2) the development and validation of a questionnaire based on this revised framework (Papers 1 & 2), (3) important assessment related insights concerning Achievement Goals in educational settings (Paper 3), and (4) practical implications for coaching and interventions in work and educational settings as two of the most important life domains (Papers 2 & 3). [less ▲]

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See detailMeasuring Macroeconomic Tail Risk
Penasse, Julien UL

Presentation (2019, December 05)

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See detailDAISY: A Data Information System for accountability under the General Data Protection Regulation
Becker, Regina UL; Alper, Pinar UL; Groues, Valentin UL et al

in GigaScience (2019), 8(12),

The new European legislation on data protection, namely, the General Data Protection Regulation (GDPR), has introduced comprehensive requirements for the documentation about the processing of personal ... [more ▼]

The new European legislation on data protection, namely, the General Data Protection Regulation (GDPR), has introduced comprehensive requirements for the documentation about the processing of personal data as well as informing the data subjects of its use. GDPR’s accountability principle requires institutions, projects, and data hubs to document their data processings and demonstrate compliance with the GDPR. In response to this requirement, we see the emergence of commercial data-mapping tools, and institutions creating GDPR data register with such tools. One shortcoming of this approach is the genericity of tools, and their process-based model not capturing the project-based, collaborative nature of data processing in biomedical research.We have developed a software tool to allow research institutions to comply with the GDPR accountability requirement and map the sometimes very complex data flows in biomedical research. By analysing the transparency and record-keeping obligations of each GDPR principle, we observe that our tool effectively meets the accountability requirement.The GDPR is bringing data protection to center stage in research data management, necessitating dedicated tools, personnel, and processes. Our tool, DAISY, is tailored specifically for biomedical research and can help institutions in tackling the documentation challenge brought about by the GDPR. DAISY is made available as a free and open source tool on Github. DAISY is actively being used at the Luxembourg Centre for Systems Biomedicine and the ELIXIR-Luxembourg data hub. [less ▲]

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See detailEssays in Financial Stability
Gabriele, Carmine UL

Doctoral thesis (2019)

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See detailMöglichkeitsräume dialogischer Wissenstransformation
Göbel, Sabrina UL; Kaul, Ina; Schmidt, Desirée

in Cloos, Peter; Lochner, Barbara; Schoneville, Holger (Eds.) Soziale Arbeit als Projekt. Konturierungen von Disziplin und Profession (2019)

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See detailDrawing on UNESCO's Archival Sources to Research Literacy Campaigns in Latin America in the 1950s
Kesteloot, Stefanie UL

Conference given outside the academic context (2019)

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See detailIN FOR A PENNY: A LEGAL AND DIPLOMATIC HISTORY OF REPARATIONS AND THEIR IMPACT ON EUROPEAN (DIS?) INTEGRATION
Paravantis, Spero UL

in International Journal of Legal History and Institutions (2019), 2019(3), 15-77

This article summarizes the legal, historical and political developments in regards to the issue of WWII reparations. It suggests that due to the separation between the historical and legal fields which ... [more ▼]

This article summarizes the legal, historical and political developments in regards to the issue of WWII reparations. It suggests that due to the separation between the historical and legal fields which have examined the issue of WWII reparations, no generally accepted notion about their status exists either in the historical, legal or political spheres. It is this lack of clarity that has greatly contributed to this issue remaining unresolved thus far. This paper’s originality lies in its combination of diverse and original sources, both primary and secondary, in addition to referring to the text of the treaties in question to bring the debate on WWII reparations into a single narrative and addressing some of the shortcomings in other studies. It is also original because no previous studies on WWII reparations have addressed the role their ‘settlement’ played in the early European Integration process. In conclusion, the paper responds to arguments stating that the issue is closed, and questions whether or not the US and USSR did in fact have the right to suspend the rights of their allies to claim reparations from Germany upon re-unification. [less ▲]

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See detailGraph-based Algorithms for Smart Mobility Planning and Large-scale Network Discovery
Changaival, Boonyarit UL

Doctoral thesis (2019)

Graph theory has become a hot topic in the past two decades as evidenced by the increasing number of citations in research. Its applications are found in many fields, e.g. database, clustering, routing ... [more ▼]

Graph theory has become a hot topic in the past two decades as evidenced by the increasing number of citations in research. Its applications are found in many fields, e.g. database, clustering, routing, etc. In this thesis, two novel graph-based algorithms are presented. The first algorithm finds itself in the thriving carsharing service, while the second algorithm is about large graph discovery to unearth the unknown graph before any analyses can be performed. In the first scenario, the automatisation of the fleet planning process in carsharing is proposed. The proposed work enhances the accuracy of the planning to the next level by taking an advantage of the open data movement such as street networks, building footprints, and demographic data. By using the street network (based on graph), it solves the questionable aspect in many previous works, feasibility as they tended to use rasterisation to simplify the map, but that comes with the price of accuracy and feasibility. A benchmark suite for further research in this problem is also provided. Along with it, two optimisation models with different sets of objectives and contexts are proposed. Through a series of experiment, a novel hybrid metaheuristic algorithm is proposed. The algorithm is called NGAP, which is based on Reference Point based Non-dominated Sorting genetic Algorithm (NSGA-III) and Pareto Local Search (PLS) and a novel problem specific local search operator designed for the fleet placement problem in carsharing called Extensible Neighbourhood Search (ENS). The designed local search operator exploits the graph structure of the street network and utilises the local knowledge to improve the exploration capability. The results show that the proposed hybrid algorithm outperforms the original NSGA-III in convergence under the same execution time. The work in smart mobility is done on city scale graphs which are considered to be medium size. However, the scale of the graphs in other fields in the real-world can be much larger than that which is why the large graph discovery algorithm is proposed as the second algorithm. To elaborate on the definition of large, some examples are required. The internet graph has over 30 billion nodes. Another one is a human brain network contains around 1011 nodes. Apart of the size, there is another aspect in real-world graph and that is the unknown. With the dynamic nature of the real-world graphs, it is almost impossible to have a complete knowledge of the graph to perform an analysis that is why graph traversal is crucial as the preparation process. I propose a novel memoryless chaos-based graph traversal algorithm called Chaotic Traversal (CHAT). CHAT is the first graph traversal algorithm that utilises the chaotic attractor directly. An experiment with two well-known chaotic attractors, Lozi map and Rössler system is conducted. The proposed algorithm is compared against the memoryless state-of-the-art algorithm, Random Walk. The results demonstrate the superior performance in coverage rate over Random Walk on five tested topologies; ring, small world, random, grid and power-law. In summary, the contribution of this research is twofold. Firstly, it contributes to the research society by introducing new study problems and novel approaches to propel the advance of the current state-of-the-art. And Secondly, it demonstrates a strong case for the conversion of research to the industrial sector to solve a real-world problem. [less ▲]

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See detailScalable Uncertainty Management - 13th International Conference (SUM 2019), Compiegne, France, December 16-18, 2019, Proceedings
Ben Amor, Nahla; Quost, Benjamin; Theobald, Martin UL

Book published by Springer (2019)

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See detailDigital Public History in Luxemburg
Fickers, Andreas UL

Presentation (2019, December 02)

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See detailEnergy Efficient Bit Allocation and Hybrid Combining for Millimeter Wave MIMO Systems
Kaushik, Aryan; Tsinos, Christos UL; Vlachos, Evangelos et al

in GLOBECOM (2019)

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See detailGene-environment interaction and Mendelian randomisation
Krüger, Rejko UL; Kolber, Pierre Luc UL

in Revue Neurologique (2019)

Genetic factors only account for up to a third of the cases of Parkinson's disease (PD), while the remaining cases are of unknown aetiology. Environmental exposures (such as pesticides or heavy metals ... [more ▼]

Genetic factors only account for up to a third of the cases of Parkinson's disease (PD), while the remaining cases are of unknown aetiology. Environmental exposures (such as pesticides or heavy metals) and the interaction with genetic susceptibility factors (summarized in the concept of impaired xenobiotic metabolism) are believed to play a major role in the mechanisms of neurodegeneration. Beside of the classical association studies (e.g. genome-wide association studies), a novel approach to investigate environmental risk factors are Mendelian randomisation studies. This review explores the gene-environment interaction and the gain of Mendelian randomisation studies in assessing causalities of modifiable risk factors for PD. [less ▲]

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See detailLuxatlas.lu - Ein digitaler und interaktiver historischer Stadtatlas Luxemburgs
Uhrmacher, Martin UL; Kass, Steve UL; Pauli, Sebastian

Book published by University of Luxembourg (2019)

Seit Ende 2016 widmet sich das universitäre Forschungsprojekt VILLUX X in Zusammenarbeit mit der Stadt Luxemburg der Erstellung eines digitalen historischen Atlas. Dieser zeigt die städtische Entwicklung ... [more ▼]

Seit Ende 2016 widmet sich das universitäre Forschungsprojekt VILLUX X in Zusammenarbeit mit der Stadt Luxemburg der Erstellung eines digitalen historischen Atlas. Dieser zeigt die städtische Entwicklung Luxemburgs seit Beginn des 19. Jahrhunderts in Form von digitalen und interaktiven Karten. In mehreren Zeitschnitten ab den 1820er Jahren lassen sich die tiefgreifenden Wandlungsprozesse der Stadt und ihr Wachstum interaktiv nachvollziehen: Von der engen Festungsstadt des frühen 19. Jahrhunderts bis zur großflächigen, internationalen Metropole des 21. Jahrhunderts. Die Stadtentwicklung ist für diesen Zeitraum in vielen Bereichen noch immer wenig erforscht. Das überrascht, denn Luxemburg hat im Vergleich zu anderen europäischen Städten in den letzten 200 Jahren besonders tiefgreifende Veränderungsprozesse durchlaufen: Von einer mittelgroßen Festungsstadt der frühen Neuzeit, die sich erst nach 1867 von ihrem einengenden Militärkorsett befreien konnte, bis hin zu einer modernen europäischen Hauptstadt des frühen 20. Jahrhunderts. Dann, in der Nachkriegszeit, wurde die Stadt zu einem der drei Hauptverwaltungssitze der Europäischen Union. Und ab den 1970er Jahren entwickelte sie sich darüber hinaus zu einem internationalen Finanzzentrum. Heute ist Luxemburg zweifellos die wirtschaftlich, politisch und kulturell bedeutendste Stadt der Großregion mit einem ausgeprägten kosmopolitischen Flair. Ziel des Luxatlas-Projekts ist es, die Voraussetzungen und Merkmale dieser Entwicklung sowie die wirtschaftlichen, sozialen und politischen Rahmenbedingungen nachzuzeichnen und zu analysieren. Es sind vor allem raumbezogene Fragstellungen, die dabei in historischer Perspektive mit dem digitalen und interaktiven Stadtatlas in den Blick genommen werden. Der Atlas lässt sich in diesem Sinne definieren als eine Sammlung von Karten, Bildern und erläuternden Texten. Er bündelt und verknüpft relevante Daten von städtischen und nationalen Behörden und Kultureinrichtungen sowie auch von unterschiedlichen Forschungsdisziplinen wie Geschichte und Geographie und stellt diese in überarbeiteter Form den Nutzern zur Verfügung. Luxatlas.lu ermöglicht es, historische Veränderungsprozesse des 19. und 20. Jahrhunderts diachron zu dokumentieren und gleichzeitig traditionelle Entwicklungsvorstellungen in Frage stellen. Zugleich etabliert er neue Methoden und Konzepte zur Standardisierung von Online-Karten und wird somit selbst zu einem Instrument zusätzlichen Erkenntnisgewinns für seine Nutzer. [less ▲]

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See detailDistance-based vertex identification in graphs: The outer multiset dimension
Gil-Pons, Reynaldo; Ramirez Cruz, Yunior UL; Trujillo-Rasua, Rolando et al

in Applied Mathematics and Computation (2019), 363

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See detailThe Impact of Human Mobility on Edge Data Center Deployment in Urban Environments
Vitello, Piergiorgio UL; Capponi, Andrea UL; Fiandrino, Claudio UL et al

in IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019 (2019, December)

Multi-access Edge Computing (MEC) brings storage and computational capabilities at the edge of the network into so-called Edge Data Centers (EDCs) to better low-latency applications. To this end ... [more ▼]

Multi-access Edge Computing (MEC) brings storage and computational capabilities at the edge of the network into so-called Edge Data Centers (EDCs) to better low-latency applications. To this end, effective placement of EDCs in urban environments is key for proper load balance and to minimize outages. In this paper, we specifically tackle this problem. To fully understand how the computational demand of EDCs varies, it is fundamental to analyze the complex dynamics of cities. Our work takes into account the mobility of citizens and their spatial patterns to estimate the optimal placement of MEC EDCs in urban environments in order to minimize outages. To this end, we propose and compare two heuristics. In particular, we present the mobility-aware deployment algorithm (MDA) that outperforms approaches that do not consider citizens mobility. Simulations are conducted in Luxembourg City by extending the CrowdSenSim simulator and show that efficient EDCs placement significantly reduces outages. [less ▲]

Detailed reference viewed: 138 (15 UL)