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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 detailEngagement féministe en sons et en images dans l’œuvre cinématographique d’Assia Djebar
Barthelmebs-Raguin, Hélène UL

in Guaaybess, Tourya; Di Cesare, Nurit; Levy, Jessica (Eds.) et al Femmes engagées au cœur de l’action. Mise en récit(s), mise en image(s) (in press)

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See detailReconceptualizing the Multilingual Child: Curriculum Construction in Luxembourg
Sattler, Sabrina UL

in Roberts, Philip; Brennan, Marie; Green, Bill (Eds.) Curriculum Challenges and Opportunities in a Changing World (in press)

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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 detailUnemployment at 50+: economic and psychosocial consequences
Murdock, Elke UL; Filbig, Marceline; Borges Neves, Rita

in Wanka, Anna; Walsh, Kieran; Scharf, Thomas (Eds.) et al Social Exclusion in Later Life: Interdisciplinary and Policy Perspectives. International Perspectives on Aging (in press)

Throughout the lifespan, unemployment has severe consequences in terms of economic exclusion, and overall social exclusion, but is compounded in older age. Within the EU, a growing number of older adults ... [more ▼]

Throughout the lifespan, unemployment has severe consequences in terms of economic exclusion, and overall social exclusion, but is compounded in older age. Within the EU, a growing number of older adults (50+) are affected by joblessness. Job loss at a later stage in a professional career may determine an early and permanent exit from the labour market with significant psychosocial consequences. Herein lies the age-specific risk for older unemployed adults: once becoming unemployed they are at greater risk at staying unemployed. As a result, older unemployed people may face income cuts, deprivation of a central adulthood role and their mental and physical health may suffer. In this chapter, we draw attention to the latent functions of work, and the psychosocial consequences of job loss in later life. Applying a life-course perspective, the aim of this chapter is to explore how job loss can be framed as a form of acute economic exclusion, and how this exclusion can have significant implications for poor mental health. In a context of rising retirement ages, and the lack of preparedness of the labour market to deal with an ageing workforce, it is essential to understand these dynamics to guide policy development. [less ▲]

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See detailInputs from Hell: Learning Input Distributions for Grammar-Based Test Generation
Soremekun, Ezekiel UL; Pavese, Esteban; Havrikov, Nikolas et al

in IEEE Transactions on Software Engineering (in press)

Grammars can serve as producers for structured test inputs that are syntactically correct by construction. A probabilistic grammar assigns probabilities to individual productions, thus controlling the ... [more ▼]

Grammars can serve as producers for structured test inputs that are syntactically correct by construction. A probabilistic grammar assigns probabilities to individual productions, thus controlling the distribution of input elements. Using the grammars as input parsers, we show how to learn input distributions from input samples, allowing to create inputs that are similar to the sample; by inverting the probabilities, we can create inputs that are dissimilar to the sample. This allows for three test generation strategies: 1) “Common inputs” – by learning from common inputs, we can create inputs that are similar to the sample; this is useful for regression testing. 2) “Uncommon inputs” – learning from common inputs and inverting probabilities yields inputs that are strongly dissimilar to the sample; this is useful for completing a test suite with “inputs from hell” that test uncommon features, yet are syntactically valid. 3) “Failure-inducing inputs” – learning from inputs that caused failures in the past gives us inputs that share similar features and thus also have a high chance of triggering bugs; this is useful for testing the completeness of fixes. Our evaluation on three common input formats (JSON, JavaScript, CSS) shows the effectiveness of these approaches. Results show that “common inputs” reproduced 96% of the methods induced by the samples. In contrast, for almost all subjects (95%), the “uncommon inputs” covered significantly different methods from the samples. Learning from failure-inducing samples reproduced all exceptions (100%) triggered by the failure-inducing samples and discovered new exceptions not found in any of the samples learned from. [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 detailBubble-enriched smoothed finite element methods for nearly-incompressible solids
Lee, Changkye; Natarajan, Sundararajan; Hale, Jack UL et al

in Computer Modeling in Engineering and Sciences (in press)

This work presents a locking-free smoothed finite element method (S-FEM) for the simulation of soft matter modelled by the equations of quasi-incompressible hyperelasticity. The proposed method overcomes ... [more ▼]

This work presents a locking-free smoothed finite element method (S-FEM) for the simulation of soft matter modelled by the equations of quasi-incompressible hyperelasticity. The proposed method overcomes well-known issues of standard finite element methods (FEM) in the incompressible limit: the over-estimation of stiffness and sensitivity to severely distorted meshes. The concepts of cell-based, edge-based and node-based S-FEMs are extended in this paper to three-dimensions. Additionally, a cubic bubble function is utilized to improve accuracy and stability. For the bubble function, an additional displacement degree of freedom is added at the centroid of the element. Several numerical studies are performed demonstrating the stability and validity of the proposed approach. The obtained results are compared with standard FEM and with analytical solutions to show the effectiveness of the method. [less ▲]

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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 detailGoal-Directed Decision Procedures for Input/Output Logics
Steen, Alexander UL

in Marra, Alessandra; Liu, Fenrong; Portner, Paul (Eds.) et al Deontic Logic and Normative Systems: 15th International Conference (DEON2020/2021, Munich) (in press)

Input/Output (I/O) logics address the abstract study of conditional norms. Here, norms are represented as pairs of formulas instead of statements that themselves carry truth-values. I/O logics have been ... [more ▼]

Input/Output (I/O) logics address the abstract study of conditional norms. Here, norms are represented as pairs of formulas instead of statements that themselves carry truth-values. I/O logics have been studied thoroughly in the past, including further applications and refinements. In this paper, a class of automated reasoning procedures is presented that, given a set of norms and a concrete situation, decide whether a specific state of affairs is obligatory according to the output operations of I/O logics. The procedures are parametric in the underlying logical formalism and can be instantiated with different classical objects logics, such as propositional logic or first-order logic. The procedures are shown to be correct, and a proof-of-concept implementation for propositional I/O logics is surveyed. [less ▲]

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See detailBuilding FinTech Ecosystems: Regulatory Sandboxes, Innovation Hubs and Beyond
Buckley, Ross; Arner, Douglas; Veidt, Robin UL et al

in Washington University Journal of Law and Policy (in press), 61

Around the world, regulators and policymakers are working to support the development of financial technology (FinTech) ecosystems. As one example, over 50 jurisdictions have now established or announced ... [more ▼]

Around the world, regulators and policymakers are working to support the development of financial technology (FinTech) ecosystems. As one example, over 50 jurisdictions have now established or announced “financial regulatory sandboxes”. Others have announced or established “innovation hubs”, sometimes incorporating a regulatory sandbox as one element. This article argues that innovation hubs provide all the benefits that the policy discussion associates with regulatory sandboxes, while avoiding most downsides of regulatory sandboxes, and that many benefits typically attributed to sandboxes are the result of inconsistent terminology, and actually accrue from the work of innovation hubs. The paper presents, as the first contribution of its kind, data on regulatory sandboxes and innovation hubs and argues that the data so far available on sandboxes does not justify the statement that regulatory sandboxes are the most effective approach to building FinTech ecosystems. Given that regulatory sandboxes require significant financial contributions, sometimes new legislation, and intense regulatory risk management, and that sandboxes do not work as well on a stand-alone basis (i.e. without an innovation hub), while innovation hubs alone can provide more significant benefits in supporting the development of a FinTech ecosystem, regulators should focus their resources on developing effective innovation hubs, including in appropriate cases a sandbox as one possible element. [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 detailGaussian Random Measures Generated by Berry's Nodal Sets
Peccati, Giovanni UL; Vidotto, Anna

in Journal of Statistical Physics (in press)

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