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See detailAgency, materiality, and relations in intra-action in a kindergarten science investigation
Haus, Jana; Siry, Christina UL

in Milne, Catherine; Scantlebury, Kate (Eds.) Material practice and materiality in science education (in press)

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See detailDoes cargo matter? The impact of air cargo operations on departure on-time performance for combination carriers
Lange, Anne UL

in Transportation Research. Part A, Policy and Practice (in press)

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See detailCritical voices in science education research: Narratives of academic journeys
Bazzul, Jesse; Siry, Christina UL

Book published by Sense / Brill (in press)

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See detailLet’s Open the Decision-Making Umbrella: A Framework for Conceptualizing and Assessing Features of Impaired Decision Making in Addiction
Rochat, Lucien; Maurage, Pierre; Heeren, Alexandre et al

in Neuropsychology Review (in press)

Decision-making impairments play a pivotal role in the emergence and maintenance of addictive disorders. However, a sound conceptualization of decision making as an umbrella construct, encompassing its ... [more ▼]

Decision-making impairments play a pivotal role in the emergence and maintenance of addictive disorders. However, a sound conceptualization of decision making as an umbrella construct, encompassing its cognitive, affective, motivational, and physiological subcomponents, is still lacking. This prevents an efficient evaluation of the heterogeneity of decision-making impairments and the development of tailored treatment. This paper thus unfolds the various processes involved in decision making by adopting a critical approach of prominent dual- or triadic-process models, which postulate that decision making is influenced by the interplay of impulsive-automatic, reflective-controlled, and interoceptive processes. Our approach also focuses on social cognition processes, which play a crucial role in decision making and addictive disorders but were largely ignored in previous dual- or triadic-process models. We propose here a theoretical framework in which a range of coordinated processes are first identified on the basis of their theoretical and clinical relevance. Each selected process is then defined before reviewing available results underlining its role in addictive disorders (i.e., substance use, gambling, and gaming disorders). Laboratory tasks for measuring each process are also proposed, initiating a preliminary process-based decision-making assessment battery. This original approach may offer an especially informative view of the constitutive features of decision making impairments in addiction. As prior research has implicated these features as risk factors for the development and maintenance of addictive disorders, our processual approach sets the scene for novel and transdiagnostic experimental and applied research avenues [less ▲]

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See detailThe XDEM Multi-physics and Multi-scale Simulation Technology: Review on DEM-CFD Coupling, Methodology and Engineering Applications
Peters, Bernhard UL; Baniasadi, Maryam UL; Baniasadi, Mehdi UL et al

in Particuology (in press)

The XDEM multi-physics and multi-scale simulation platform roots in the Ex- tended Discrete Element Method (XDEM) and is being developed at the In- stitute of Computational Engineering at the University ... [more ▼]

The XDEM multi-physics and multi-scale simulation platform roots in the Ex- tended Discrete Element Method (XDEM) and is being developed at the In- stitute of Computational Engineering at the University of Luxembourg. The platform is an advanced multi- physics simulation technology that combines flexibility and versatility to establish the next generation of multi-physics and multi-scale simulation tools. For this purpose the simulation framework relies on coupling various predictive tools based on both an Eulerian and Lagrangian approach. Eulerian approaches represent the wide field of continuum models while the Lagrange approach is perfectly suited to characterise discrete phases. Thus, continuum models include classical simulation tools such as Computa- tional Fluid Dynamics (CFD) or Finite Element Analysis (FEA) while an ex- tended configuration of the classical Discrete Element Method (DEM) addresses the discrete e.g. particulate phase. Apart from predicting the trajectories of individual particles, XDEM extends the application to estimating the thermo- dynamic state of each particle by advanced and optimised algorithms. The thermodynamic state may include temperature and species distributions due to chemical reaction and external heat sources. Hence, coupling these extended features with either CFD or FEA opens up a wide range of applications as diverse as pharmaceutical industry e.g. drug production, agriculture food and processing industry, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology. [less ▲]

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See detailBilan
Lejot, Eve UL

in Huemer, Birgit; Lejot, Eve; Deroey, Katrien (Eds.) Academic writing across languages: multilingual and contrastive approaches in higher education (in press)

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See detailTeaching Diverse Learners in Europe: Inspiring Practices and Lessons Learned from Germany, Iceland, Lithuania, Luxembourg, Spain and Sweden
Powell, Justin J W UL; Merz-Atalik, Kerstin; Ališauskienė, Stefanija et al

in Schuelka, Matthew; Johnstone, Christopher; Thomas, Gary (Eds.) et al SAGE Handbook of Inclusion and Diversity in Education (in press)

Teaching in inclusive settings may be considered a new, challenging task; however, successfully supporting diverse pupils in their learning process has always been at the heart of outstanding pedagogy ... [more ▼]

Teaching in inclusive settings may be considered a new, challenging task; however, successfully supporting diverse pupils in their learning process has always been at the heart of outstanding pedagogy. Vast differences both in the extent and the quality of inclusive schooling exist between and within European countries. Promoting comparison and cooperation among countries with long-institutionalized inclusive schooling and countries with less inclusive structures, cultures, and practices proves crucial in education research and reform. Building upon a multi-year collaboration, we synthesize lessons learned about inclusive education reforms and “inspiring practices“ in inclusive education in partner schools in Germany, Iceland, Lithuania, Luxembourg, Spain, and Sweden. Contemporary practices take the diversity of groups of learners into account, building upon diversity as a resource; this served as the framework for our collaboration. The TdiverS consortium—as an EU-funded Comenius Network Project “Teaching Diverse Learners in (School-)Subjects“ (TdiverS)—was built on the following principles and goals: (1) diversity in theory and practice, resulting from collaborations of practitioners and scientists exchanging knowledge about teaching in inclusive settings; (2) strengthening awareness of the diversity of frameworks, conditions, and determining factors of teaching inclusively in varying cultural contexts; and (3) inclusive education research uniting multilevel, multicultural, and multidisciplinary perspectives. We highlight the values of inclusive education, map its contemporary European geography, summarize contemporary country-level education reforms and the local development of inclusive practices in six countries, and discuss lessons learned across Northern, Eastern, Southern, and Western Europe. [less ▲]

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See detailA dual‐process exploration of binge drinking: Evidence through behavioral and electrophysiological findings
Lannoy, Séverine; Dormal, Valérie; Billieux, Joël UL et al

in Addiction Biology (in press)

The dual‐process model, describing addictive disorders as resulting from an imbalance between increased automatic approach behaviors towards the substance and reduced abilities to control these behaviors ... [more ▼]

The dual‐process model, describing addictive disorders as resulting from an imbalance between increased automatic approach behaviors towards the substance and reduced abilities to control these behaviors, constitutes a sound theoretical framework to understand alcohol‐use disorders. The present study aimed at exploring this imbalance at behavioral and cerebral levels in binge drinking, a pattern of excessive alcohol consumption frequently observed in youth, by assessing both reflective control abilities and automatic processing of alcohol‐related stimuli. For this purpose, 25 binge drinkers and 25 comparison participants performed a Go/No‐Go task during electrophysiological recording. Inhibition abilities were investigated during explicit (ie, distinguishing alcoholic versus nonalcoholic drinks) and implicit (ie, distinguishing sparkling versus nonsparkling drinks, independently of their alcohol content) processing of beverage cues. Binge drinkers presented poorer inhibition for the explicit processing of beverage cues, as well as reduced N200 amplitude for the specific processing of alcohol‐related stimuli. As a whole, these findings indicated inhibition impairments in binge drinkers, particularly for alcohol cues processing and at the attentional stage of the cognitive stream. In line with the dual‐process model, these results support that binge drinking is already characterized by an underactivation of the reflective system combined with an overactivation of the automatic system. Results also underlined the influence of explicit processing compared with implicit ones. At the clinical level, our findings reinforce the need to develop intervention methods focusing on the inhibition of approach behaviors towards alcohol‐related stimuli. [less ▲]

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See detailA Polynomial Time Subsumption Algorithm for Nominal Safe $ELO_{\bot}$ under Rational Closure
Casini, Giovanni UL; Straccia, Umberto; Meyer, Thomas

in Information Sciences (in press)

Description Logics (DLs) under Rational Closure (RC) is a well-known framework for non-monotonic reasoning in DLs. In this paper, we address the concept subsumption decision problem under RC for nominal ... [more ▼]

Description Logics (DLs) under Rational Closure (RC) is a well-known framework for non-monotonic reasoning in DLs. In this paper, we address the concept subsumption decision problem under RC for nominal safe $ELO_{\bot}$, a notable and practically important DL representative of the OWL 2 profile OWL 2 EL. Our contribution here is to define a polynomial time subsumption procedure for nominal safe $ELO_{\bot}$ under RC that relies entirely on a series of classical, monotonic $EL_{\bot}$ subsumption tests. Therefore, any existing classical monotonic $EL_{\bot}$ reasoner can be used as a black box to implement our method. We then also adapt the method to one of the known extensions of RC for DLs, namely Defeasible Inheritance-based DLs without losing the computational tractability. [less ▲]

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See detailLa vie formulaire - entre procédure judiciaire et dérive administrative du droit d’hier à aujourd’hui
Menetrey, Séverine UL

in Revue internationale de droit processuel (in press)

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See detailAttack-tolerant Control and Observer-based Trajectory Tracking for Cyber-Physical Systems
Bezzaoucha, Souad UL; Voos, Holger UL; Darouach, Mohamed

in European Journal of Control (in press)

In the present paper, a model-based fault/attack tolerant scheme is proposed to cope with cyber-threats on Cyber-Physicals Systems. A common scheme based on observers is designed and a state feedback ... [more ▼]

In the present paper, a model-based fault/attack tolerant scheme is proposed to cope with cyber-threats on Cyber-Physicals Systems. A common scheme based on observers is designed and a state feedback control based on an aperiodic event-triggered framework is given with control synthesis and condition on the switching time. Classical fault tolerant control with Bi-linear Matrix Inequality () approaches are used to achieve novel and better security strategy based on an event-triggered control implementation. The purpose of using the event-based implementation would be to reduce (limit) the total number of transmissions to only instances when the networked control system (NCS) needs attention. Simulation results on a real-time laboratory three tank system are given to show the attack-tolerant control ability despite data deception attacks on both actuators and sensors. A detection/isolation scheme based on residual observers bank is also proposed. [less ▲]

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See detailShifting Epistemologies for Discipline and Rigour in Educational Research: Challenges and Opportunities from Digital Humanities
Priem, Karin UL; Fendler, Lynn

in European Educational Research Journal (in press)

This paper historicizes “rigour”, discipline” and “systematic” as inventions of a certain rational spirit of Enlightenment that was radicalized during the 19th century. These terms acquired temporary ... [more ▼]

This paper historicizes “rigour”, discipline” and “systematic” as inventions of a certain rational spirit of Enlightenment that was radicalized during the 19th century. These terms acquired temporary value in a transition during the 19th century when a culture of research was established within a modern episteme. Beginning in the 20th century, this development was perceived as problematic, triggering criticism from philosophy and the arts, and even within the sciences. “Discipline”, “rigour” and “systematic” have changed meanings over time, and recent contributions from Digital Humanities are promising for a renewed critical debate about rigour in research. Both digital humanities and quantitative research deal with big data sets aimed at providing a large-scale analysis. However, unlike most quantitative research, digital humanities explore uncertainties as their main focus. Attention to the human-machine collaboration has led to more expansive thinking in scientific research. Digital humanities go further by advancing a metaperspective that deals with the material hermeneutics of data accumulation itself. [less ▲]

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See detailMultiple Sets Exponential Concentration and Higher Order Eigenvalues
Gozlan, Nathael; Herry, Ronan UL

in Potential Analysis (in press)

On a generic metric measured space, we introduce a notion of improved concentration of measure that takes into account the parallel enlargement of k distinct sets. We show that the k-th eigenvalues of the ... [more ▼]

On a generic metric measured space, we introduce a notion of improved concentration of measure that takes into account the parallel enlargement of k distinct sets. We show that the k-th eigenvalues of the metric Laplacian gives exponential improved concentration with k sets. On compact Riemannian manifolds, this allows us to recover estimates on the eigenvalues of the Laplace-Beltrami operator in the spirit of an inequality of Chung, Grigor’yan & Yau, Upper bounds for eigenvalues of the discrete and continuous Laplace operators. Adv. Math. 117(2), 165–178 (1996). [less ▲]

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See detailOn a Software-Defined CAN Controller for Embedded Systems
Gianluca, Cena; Cibrario Bertolotti, Ivan; Hu, Tingting UL et al

in Computer Standards and Interfaces (in press)

Controller Area Network (CAN) technology is nowadays ubiquitous in vehicular applications and is also gaining popularity in other contexts, for instance, embedded and industrial automation systems. The ... [more ▼]

Controller Area Network (CAN) technology is nowadays ubiquitous in vehicular applications and is also gaining popularity in other contexts, for instance, embedded and industrial automation systems. The recent standardization of CAN with flexible data rate (CAN FD), as well as other academic proposals, have highlighted the usefulness of enhancing the CAN physical and data link layers to attain better performance and other features. This paper describes a portable software-defined CAN controller called SDCC. Besides being handy as a research tool for experimenting with novel protocol concepts at the data link layer, SDCC is also fully capable of real-time execution. Hence, it can interact with real-world CAN devices through a physical bus interface. [less ▲]

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See detailSklaverei war gestern? Menschenhandel im Europa des 21. Jahrhunderts
Veit, Charlotte UL; Nienaber, Birte UL

in Binsfeld, Andrea; Ghetta, Marcello (Eds.) Sklaverei und Identität (in press)

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See detailIntroducing Luxembourg in the Ephemeral
Carr, Constance UL

in Mössner, Samuel; Freytag, Tim; Krueger, Rob (Eds.) Adventures in Urban Sustainable Development: Theoretical interventions and notes from the field (in press)

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See detailThe Local Metric Dimension of the Lexicographic Product of Graphs
Barragán-Ramírez, Gabriel A; Estrada-Moreno, Alejandro; Ramirez Cruz, Yunior UL et al

in Bulletin of the Malaysian Mathematical Sciences Society (in press)

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See detailEmpirical Evaluation of Mutation-based Test Prioritization Techniques
Shin, Donghwan; Yoo, Shin; Papadakis, Mike UL et al

in Software Testing, Verification and Reliability (in press)

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See detailAn Active Learning Approach for Improving the Accuracy of Automated Domain Model Extraction
Arora, Chetan UL; Sabetzadeh, Mehrdad UL; Nejati, Shiva UL et al

in ACM Transactions on Software Engineering and Methodology (in press)

Domain models are a useful vehicle for making the interpretation and elaboration of natural-language requirements more precise. Advances in natural language processing (NLP) have made it possible to ... [more ▼]

Domain models are a useful vehicle for making the interpretation and elaboration of natural-language requirements more precise. Advances in natural language processing (NLP) have made it possible to automatically extract from requirements most of the information that is relevant to domain model construction. However, alongside the relevant information, NLP extracts from requirements a significant amount of information that is superfluous, i.e., not relevant to the domain model. Our objective in this article is to develop automated assistance for filtering the superfluous information extracted by NLP during domain model extraction. To this end, we devise an active-learning-based approach that iteratively learns from analysts’ feedback over the relevance and superfluousness of the extracted domain model elements, and uses this feedback to provide recommendations for filtering superfluous elements. We empirically evaluate our approach over three industrial case studies. Our results indicate that, once trained, our approach automatically detects an average of ≈ 45% of the superfluous elements with a precision of ≈ 96%. Since precision is very high, the automatic recommendations made by our approach are trustworthy. Consequently, analysts can dispose of a considerable fraction – nearly half – of the superfluous elements with minimal manual work. The results are particularly promising, as they should be considered in light of the non-negligible subjectivity that is inherently tied to the notion of relevance. [less ▲]

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See detailAkkulturation als Integrationsressource
Maehler, Débora; Murdock, Elke UL; Albert, Isabelle UL

in Pickel, Gert; Decker, Oliver; Kailitz, Steffen (Eds.) et al Handbuch Integration (in press)

Detailed reference viewed: 24 (1 UL)