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See detailChancen für Luxemburgs (Finanz-)Wirtschaft in und nach der Krise
Dörry, Sabine; Schulz, Christian UL

in Mein, Georg; Pause, Johannes (Eds.) Self and Society in the Corona Crisis (in press)

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See detailThe "failure" of cooperatives in Kyrgyzstan? A postcapitalist critique of a biased narrative
Cima, Ottavia UL

in Geographica Augustana (in press)

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See detailSoziale Arbeit und Sozialpolitik in Luxemburg - Entwicklungen und Reformprozesse
Biewers, Sandra UL; Schumacher, Anette UL; Meyers, Christiane UL

in Thole, Werner (Ed.) Grundriss Soziale Arbeit (in press)

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See detailThe return of borders. Ein Kommentar zur Grenzraumforschung in Zeiten der Vergrenzungen
Wille, Christian UL

in Terrollion, Karl; Theis, Roland; Weber, Florian (Eds.) COVID-19, die Zäsur der Grenzkontrollen und die deutsch-französischen Beziehungen. Erfahrungen und Lehren aus der Krise (in press)

Der Beitrag geht von einem angebrochenen Zeitalter der Vergrenzungen aus und skizziert, wie die interdisziplinäre Grenzforschung und europäische Grenzraumforschung mit der Renaissance von Grenzen umgehen ... [more ▼]

Der Beitrag geht von einem angebrochenen Zeitalter der Vergrenzungen aus und skizziert, wie die interdisziplinäre Grenzforschung und europäische Grenzraumforschung mit der Renaissance von Grenzen umgehen. Dabei wird die enge Verflechtung der Grenzraumforschung mit dem politischen Projekt der europäischen Integration und ihr Fokus auf die Permeabilität von Grenzen deutlich. Allerdings wird zugleich erkennbar, dass die Leitidee eines Europa ohne Grenzen in den letzten Jahrzehnten erheblich an Strahlkraft eingebüßt hat, zuletzt durch die temporäre Verstärkung der Kontrollen im Schengen-Raum (2015/2016) und die temporären Schließungen der EU-Grenzen (2020). Die zunehmend um sich greifenden Vergrenzungsprozesse in Grenzregionen werden außerdem im Alltag ihrer Einwohner*innen nachgezeichnet. Der Beitrag schlägt abschließend eine Perspektivweitung der europäischen Grenzraumforschung vor, die die Durabilität von Grenzen berücksichtigt und somit Vergrenzungen an den EU-Binnengrenzen besser zu verstehen hilft. [less ▲]

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See detailSignal-Based Properties of Cyber-Physical Systems: Taxonomy and Logic-based Characterization
Boufaied, Chaima UL; Jukss, Maris; Bianculli, Domenico UL et al

in Journal of Systems and Software (in press)

The behavior of a cyber-physical system (CPS) is usually defined in terms of the input and output signals processed by sensors and actuators. Requirements specifications of CPSs are typically expressed ... [more ▼]

The behavior of a cyber-physical system (CPS) is usually defined in terms of the input and output signals processed by sensors and actuators. Requirements specifications of CPSs are typically expressed using signal-based temporal properties. Expressing such requirements is challenging, because of (1) the many features that can be used to characterize a signal behavior; (2) the broad variation in expressiveness of the specification languages (i.e., temporal logics) used for defining signal-based temporal properties. Thus, system and software engineers need effective guidance on selecting appropriate signal behavior types and an adequate specification language, based on the type of requirements they have to define. In this paper, we present a taxonomy of the various types of signal-based properties and provide, for each type, a comprehensive and detailed description as well as a formalization in a temporal logic. Furthermore, we review the expressiveness of state-of-the-art signal-based temporal logics in terms of the property types identified in the taxonomy. Moreover, we report on the application of our taxonomy to classify the requirements specifications of an industrial case study in the aerospace domain, in order to assess the feasibility of using the property types included in our taxonomy and the completeness of the latter. [less ▲]

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See detailPre-Hurricane Consumer Stockpiling and Post- Hurricane Product Availability: Empirical Evidence from Natural Experiments
Pan, Xiaodan; Dresner, Martin; Mantin, Binyamin UL et al

in Production and Operations Management (in press)

The provision of essential supplies is a key service provided by retailers when demand spikes due to consumer stockpiling during environmental emergencies. Moreover, it is important for retailers to ... [more ▼]

The provision of essential supplies is a key service provided by retailers when demand spikes due to consumer stockpiling during environmental emergencies. Moreover, it is important for retailers to quickly recover from these events by replenishing the stock of essential supplies to meet the continuing needs of local residents. The main purpose of this research is to study consumer precautionary stockpiling behavior prior to the onset of hurricane landfalls and determine the impact of this behavior on in-store product availability for various formats of retail store outlets. Specifically, we focus on the bottled water product category, an essential emergency category in hurricane preparedness. This study combines an event analysis methodology with econometric models using archival retail scanner data from 60 U.S. retail chains located in 963 counties and real-time data from four recent U.S. continental hurricanes. We find that supply-side characteristics (retail network and product variety), demand-side characteristics (hurricane experience and household income), and disaster characteristics (hazard proximity and hazard intensity) significantly affect consumer stockpiling propensity as the hurricanes approach. The increased consumer stockpiling has immediate and longer-term impacts on retail operations, namely, in-store product availability. Among various retail formats, drug stores are associated with the highest consumer stockpiling propensity before hurricanes, while dollar stores and discount stores are associated with the lowest in-store product availability following hurricanes. Our study points to the need for retailers and policymakers to carefully monitor factors affecting consumer stockpiling behavior that will allow for better allocation of critical supplies during the hurricane season. [less ▲]

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See detailA Discrete Element Framework for Modeling the Mechanical Behaviour of Snow PART I: Mechanical Behaviour and Numerical Model
Kabore, Brice Wendlassida UL; Peters, Bernhard UL; Michael, Mark et al

in Granular Matter (in press)

A framework for investigating the mechanics of snow is proposed based on an advanced micro-scale approach. Varying strain rates, densities and temperatures are taken into account. Natural hazards i.e ... [more ▼]

A framework for investigating the mechanics of snow is proposed based on an advanced micro-scale approach. Varying strain rates, densities and temperatures are taken into account. Natural hazards i.e. snow avalanches are triggered by snow deforming at low rates, while a large group of industrial applications concerning driving safety or winter sport activities require an understanding of snow behaviour under high deformation rates. On the micro-scale, snow is considered to consist of ice grains joined by ice bonds to build a porous structure. Deformation and failure of bonds and the inter-granular collisions of ice grains determine the macroscopic response under mechanical load. Therefore, this study proposes an inter-granular bond and collision model for snow based on the discrete element method (DEM) to describe interaction on a grain-scale. It aims at predicting the mechanical behaviour of ice particles under different strain rates using a unified approach. Thus, the proposed algorithm predicts the displacement of each individual grains due to inter-granular forces and torques that derive from bond deformation and grain collision. For this purpose, the inter-granular characteristics are approximated by an elastic viscous-plastic material law which is based on the temperature-dependent properties of poly-crystalline ice Ih. [less ▲]

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See detailThe Role of Teachers in Students’ Social Inclusion in the Classroom
Gasser, Luciano; Cillessen, Antonius H.N.; Huber, Christian et al

in Frontiers in Education (in press)

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See detailSISTA: Learning Optimal Transport Costs under Sparsity Constraints
Dupuy, Arnaud UL; Carlier, Guillaume; Galichon, Alfred et al

in Communications on Pure and Applied Mathematics (in press)

In this paper, we describe a novel iterative procedure called SISTA to learn the underlying cost in optimal transport problems. SISTA is a hybrid between two classical methods, coordinate descent (“S” ... [more ▼]

In this paper, we describe a novel iterative procedure called SISTA to learn the underlying cost in optimal transport problems. SISTA is a hybrid between two classical methods, coordinate descent (“S”-inkhorn) and proximal gradient descent (“ISTA”). It alternates between a phase of exact minimization over the transport potentials and a phase of proximal gradient descent over the parameters of the transport cost. We prove that this method converges linearly, and we illustrate on simulated examples that it is significantly faster than both coordinate descent and ISTA. We apply it to estimating a model of migration, which predicts the flow of migrants using country-specific characteristics and pairwise measures of dissimilarity between countries. This application demonstrates the effectiveness of machine learning in quantitative social sciences. [less ▲]

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See detailLimit theorems for integral functionals of Hermite-driven processes
Garino, Valentin UL; Nourdin, Ivan UL; Nualart, David et al

in Bernoulli (in press)

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See detailLocal times and sample path properties of the Rosenblatt process
Kerchev, George UL; Nourdin, Ivan UL; Saksman, Eero et al

in Stochastic Processes and Their Applications (in press)

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See detailEnhanced Nonlinear Emission from Single Multilayered Metal−Dielectric Nanocavities Resonating in the Near-Infrared
Maccaferri, Nicolò UL; Zilli, Attilio; Isoniemi, Tommi et al

in ACS Photonics (in press)

Harmonic generation mechanisms are of great interest in nanoscience and nanotechnology, since they allow generating visible light by using near-infrared radiation, which is particularly suitable for its ... [more ▼]

Harmonic generation mechanisms are of great interest in nanoscience and nanotechnology, since they allow generating visible light by using near-infrared radiation, which is particularly suitable for its countless applications in bionanophotonics and optoelectronics. In this context, multilayer metal−dielectric nanocavities are widely used for light confinement and waveguiding at the nanoscale. They exhibit intense and localized resonances that can be conveniently tuned in the near-infrared and are therefore ideal for enhancing nonlinear effects in this spectral range. In this work, we experimentally investigate the nonlinear emission properties of multilayer metal−dielectric nanocavities. By engineering their absorption efficiency and exploiting their intrinsic interface-induced symmetry breaking, we achieve an almost 2 orders of magnitude higher second-harmonic generation efficiency compared to gold nanostructures featuring the same geometry and optical resonant behavior. In particular, while both the third-order nonlinear susceptibility and conversion efficiency are comparable with those of the Au nanoresonators, we estimate a second-order nonlinear susceptibility of the order of 1 pm/V, which is comparable with that of typical nonlinear crystals. We envision that our system, which combines the advantages of both plasmonic and dielectric materials, might enable the realization of composite and multifunctional nanosystems for the efficient manipulation of nonlinear optical processes at the nanoscale. [less ▲]

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See detailQuantum moment map and obstructions to the existence of closed Fedosov star products
Futaki, Akito; La Fuente-Gravy, Laurent UL

in Journal of Geometry and Physics (in press)

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See detailA Discrete Element Framework for Modeling the Mechanical Behaviour of Snow PART II: Model Validation
Peters, Bernhard UL; Kabore, Brice Wendlassida UL; Mark, Michael et al

in Granular Matter (in press)

A micro-scale modelling approach of snow based on the extension of the classical discrete element method (DEM) has been presented in the first part of this study. This modelling approach is employed to ... [more ▼]

A micro-scale modelling approach of snow based on the extension of the classical discrete element method (DEM) has been presented in the first part of this study. This modelling approach is employed to predict the mechanical response of snow under compression dependent on strain rate, initial density and temperature. Results obtained under a variety of conditions are validated with experimental data for both micro- and macro-scale, in particular the broad range between ductile i.e.~low deformation rates and brittle i.e.~high deformation rates regimes are investigated. For this purpose snow is assumed to be composed of ice grains that are inter-connected by a network of bonds between neighbouring grains. This arrangement represents the micro-scale of which the interaction is described by inter-granular collision and bonding. Hence, the response on a macro-scale is largely determined by inter-granular collisions and deformation and failure of bonds during a loading cycle. Consequently, validation was first carried out on micro-scale deformations at different loading rates and temperatures. Hereafter, macro-scale simulations of confined and unconfined, deformation-controlled compression tests have been predicted and were successfully compared to experimental data reported in literature. [less ▲]

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See detailEmotionen im inklusiven Unterricht
Zurbriggen, Carmen UL; Schmidt, Philipp

in Gläser-Zikuda, Michaela; Hofmann, Florian; Frederking, Volker (Eds.) Emotionen im Unterricht. Psychologische, pädagogische und fachdidaktische Perspektiven (in press)

Emotionen im inklusiven Unterricht wurden bislang noch selten untersucht. Erste Untersuchungen weisen darauf hin, dass Binnendifferenzierung, Individualisierung und kooperatives Lernen – als zentrale ... [more ▼]

Emotionen im inklusiven Unterricht wurden bislang noch selten untersucht. Erste Untersuchungen weisen darauf hin, dass Binnendifferenzierung, Individualisierung und kooperatives Lernen – als zentrale Merkmale eines inklusiven Unterrichts – sich positiv auf das emotionale Erleben von Schüler*innen auswirken. Implikationen für die Praxis werden aufgezeigt und weiterführend diskutiert. [less ▲]

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See detailLernstörungen im multilingualen Kontext: Diagnose und Hilfestellungen.
Ugen, Sonja UL; Schiltz, Christine UL; Fischbach, Antoine UL et al

Book published by Melusina Press (in press)

Um Kinder mit einer Lernstörung durch möglichst angepasste Hilfsmaßnahmen unterstützen zu können, ist eine umfassende Diagnostik maßgeblich. Die Diagnostik von Lernstörungen stellt vor allem in ... [more ▼]

Um Kinder mit einer Lernstörung durch möglichst angepasste Hilfsmaßnahmen unterstützen zu können, ist eine umfassende Diagnostik maßgeblich. Die Diagnostik von Lernstörungen stellt vor allem in multilingualen Kontexten - wie in Luxemburg - eine Herausforderung dar. Auch werden derzeit vorwiegend im Ausland entwickelte diagnostische Tests durchgeführt, welche die luxemburgischen Besonderheiten, wie etwa das Erlernen der schriftsprachlichen und mathematischen Kompetenzen in einer Zweit- oder Drittsprache, nicht berücksichtigen. Ausgehend vom aktuellen Forschungs- und Wissensstand wird ein vertieftes Verständnis im Hinblick auf Lese- und Rechtschreibstörungen und Rechenstörungen dargelegt. Darauf aufbauend werden diagnostische Vorgehensweisen sowie pädagogische Hilfsmaßnahmen mithilfe von Erfahrungswerten praktizierender Fachkräfte aus dem luxemburgischen Förderbereich vorgestellt. [less ▲]

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See detailAdaptive Content Seeding for Information-Centric Networking under High Topology Dynamics
Turcanu, Ion UL; Engel, Thomas UL; Sommer, Christoph

in IEEE Vehicular Technology Magazine (in press)

High-fidelity content distribution and other emerging applications of 5G and beyond-5G mobile broadband networking can put massive load on the core and Radio Access Network (RAN). To address this, direct ... [more ▼]

High-fidelity content distribution and other emerging applications of 5G and beyond-5G mobile broadband networking can put massive load on the core and Radio Access Network (RAN). To address this, direct Device to Device (D2D) communication has recently become a first-class citizen of these networks. While Information-Centric Vehicular Networking (ICVN) based on fog computing can indeed exploit such D2D links to alleviate the load on the RAN by proactively seeding content in the network, it has been shown that such seeding can cause even more load if performed where not needed. In addition, trying to determine where to seed content often causes additional load, negating the benefit of seeding. In this work, we therefore propose to adaptively seed fog nodes based on a purely virtual clustering approach. Here, vehicles are unaware of clustering decisions, thus no longer requiring an explicit exchange of control messages. We show that the benefit of such an adaptive approach goes beyond simply being able to flexibly trade off performance metrics versus each other: instead, it can consistently lower the load on the RAN link. We also show that this property even holds if node location information is only available as coarsely-grained as macro-scale grid cells. [less ▲]

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See detailThe Measurement of Resilience
Asheim, Geir; Bossert, Walter; d'ambrosio, Conchita UL et al

in Journal of Economic Theory (in press)

Resilience has become an important topic in many social sciences. Numerous individual choices and economic and demographic outcomes are likely to be influenced by people’s resilience. School performance ... [more ▼]

Resilience has become an important topic in many social sciences. Numerous individual choices and economic and demographic outcomes are likely to be influenced by people’s resilience. School performance, work absenteeism and burnout, longevity, the quality of sleep and health-risk behaviors such as substance abuse are some examples. Similarly, it is of high policy relevance to understand the determinants of both individual resilience (such as educational, marital and occupational status) and ecological resilience (such as climate change). Empirical work designed to uncover such relationships suffers from the absence of a resilience measure applicable in the context of large data sets. We fill this gap by proposing a specific measure that is characterized by a set of natural properties. After an introduction to the notion of resilience and its attributes, we argue why these conditions have intuitive appeal. Finally, we provide illustrating examples and derive our main characterization result. [less ▲]

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See detailUpdate Internationales und Europäisches Steuerrecht
Sinnig, Julia UL

in Taeger, Jürgen (Ed.) Tagungsband DSRI-Herbstakademie 2020 (in press)

Im Berichtszeitraum dieses Updates rief die OECD zu einem zweiten Öffentlichkeitsbetei-ligungsverfahren auf und erarbeitete einen präziseren Lösungsansatz zur Besteuerung digitalisierter Geschäftsmodelle ... [more ▼]

Im Berichtszeitraum dieses Updates rief die OECD zu einem zweiten Öffentlichkeitsbetei-ligungsverfahren auf und erarbeitete einen präziseren Lösungsansatz zur Besteuerung digitalisierter Geschäftsmodelle, der in einer Veröffentlichung im Januar 2020 vorgestellt wurde. Auf Ebene der Europäischen Union gab es im Berichtszeitraum keine Weiterent-wicklung der Richtlinienvorschläge zu einer Digitalsteuer und dem Konzept der „signifi-kanten digitalen Präsenz“. Der EuGH urteilte am 3. März 2020 in Hinblick auf die unions-rechtliche Vereinbarkeit zweier ungarischer Umsatzsteuern. Dieses Urteil erlaubt erste Rückschlüsse bezüglich der Europarechtskonformität umsatzbasierter Steuern, wie bspw. auch im Berichtszeitraum eingeführte Digitalsteuern einzelner Mitgliedstaaten. Dieser Beitrag knüpft an die Vorträge von Prof. Dr. Jens M. Schmittmann und der Verfasserin anlässlich der Herbstakademien 2018 in Bochum und 2019 in Oldenburg, sowie dem Vortrag der Verfasserin anlässlich der Herbstakademie 2017 in Heidelberg an. [less ▲]

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See detailJob Quality and Workplace Gender Diversity in Europe
Clark, Andrew; d'ambrosio, Conchita UL; Zhu, Rong

in Journal of Economic Behavior and Organization (in press)

We here consider the relationship between workplace gender measures and employees’ perceived job quality, where the former cover both the gender mix of workers with the same job title and the gender of ... [more ▼]

We here consider the relationship between workplace gender measures and employees’ perceived job quality, where the former cover both the gender mix of workers with the same job title and the gender of the immediate boss. Data from the 2015 European Working Conditions Survey show that men’s job evaluation is higher in gender-balanced job positions at the workplace, while that of women is higher in either gender-balanced or male-dominated positions. The gender of the immediate boss plays no significant role in employee job evaluation. There is some evidence that these correlations differ by job-quality domains. We introduce co-worker support and help, gender discrimination, and unwanted sexual attention as possible mediators of the gender-mix correlations: these change the estimated coefficients only little. Our estimated correlations could therefore reflect a pure preference for job-position gender composition. Last, we use a bounding approach to show that our main results are robust to the potential influence of unobservables. Overall, job-position gender diversity is associated with higher worker well-being. [less ▲]

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