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See detail§§ 54 bis 57 WpHG betreffend Positionslimits und Positionsmanagementkontrollen bei Warenderivaten und Positionsmeldungen
Zetzsche, Dirk Andreas UL; Lehmann, Mattias

in Kapitalmarktrechtskommentar (in press)

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See detailEinleitung, §§ 4 -9, 16, 29 bis 39c, 59 bis 68 des Wertpapiererwerbs- und Übernahmegesetzes
Zetzsche, Dirk Andreas UL; Noack, Ulrich

in Schwark; Zimmer (Eds.) Kapitalmarktrechtskommentar (in press)

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See detail§ 53 WpHG betreffend Leerverkäufe
Zetzsche, Dirk Andreas UL; Lehmann, Mattias

in Schwark; Zimmer (Eds.) Kapitalmarktrechtskommentar (in press)

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See detail§§ 6 bis 15 WpHG betreffend die Eingriffsbefugnisse der BaFin und Positionskontrollen
Zetzsche, Dirk Andreas UL; Lehmann, Mattias

in Schwark; Zimmer (Eds.) Kapitalmarktrechtskommentar (in press)

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See detailThe AIFM Directive– European Regulation of Alternative Investment Funds
Zetzsche, Dirk Andreas UL

Book published by Kluwer Law International - 3rd ed. (in press)

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See detailRegulating Libra
Zetzsche, Dirk Andreas UL; Buckley; Arner

in Oxford Journal of Legal Studies (in press)

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See detailThe EU’s Future of Data-Driven Finance
Zetzsche, Dirk Andreas UL; Buckley, Ross; Arner, Douglas et al

in Common Market Law Review (in press)

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See detailThe Dark Side of Digital Financial Transformation: The New Risks of FinTech and the Rise of TechRisk
Zetzsche, Dirk Andreas UL; Arner, Douglas; Buckley, Ross

in Singapore Journal of Legal Studies (in press)

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See detailSustainability, FinTech and Financial Inclusion
Zetzsche, Dirk Andreas UL; Veidt, Robin UL; Buckley, Ross et al

in European Business Organization Law Review (in press)

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See detailThe EU’s Impact on Data-driven Finance
Zetzsche, Dirk Andreas UL; Buckley, Ross; Arner, Douglas et al

in Common Market Law Review (in press)

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See detailBildung für Nachhaltige Entwicklung in luxemburgischen Lehrwerken: Ergebnisse der TAPSE-Studie
Andersen, Katja Natalie UL

in Luxembourg Centre for Educational Testing (LUCET), Universität Luxemburg; Service de Coordination de la Recherche et de l’Innovation pédagogiques et technologiques (SCRIPT) (Eds.) Nationaler Bildungsbericht Luxemburg 2020 (2021)

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See detailDas Projekt ESERO Luxembourg: Konsequenzen für die Lehrerprofessionalisierung zum Thema Bildung für Nachhaltige Entwicklung
Andersen, Katja Natalie UL; Conrotte, Frederic; Trap, Guillaume et al

in Luxembourg Centre for Educational Testing (LUCET), Universität Luxemburg; Service de Coordination de la Recherche et de l’Innovation pédagogiques et technologiques (SCRIPT) (Eds.) Nationaler Bildungsbericht Luxemburg 2020 (2021)

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See detail§§ 134a bis 135 AktG zu den Pflichten institutioneller Anleger, Vermögensverwalter, Depotbanken und Stimmrechtberater bei der Stimmrechtsausübung
Zetzsche, Dirk Andreas UL

in Zetzsche, Dirk Andreas; Noack, Ulrich (Eds.) Kölner Kommentar zum Aktiengesetz (2021)

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See detailPVDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
Cherenkova, Kseniya UL; Aouada, Djamila UL; Gusev, Gleb

Scientific Conference (2020, October)

We propose a Point-Voxel DeConvolution (PVDeConv) mod- ule for 3D data autoencoder. To demonstrate its efficiency we learn to synthesize high-resolution point clouds of 10k points that densely describe ... [more ▼]

We propose a Point-Voxel DeConvolution (PVDeConv) mod- ule for 3D data autoencoder. To demonstrate its efficiency we learn to synthesize high-resolution point clouds of 10k points that densely describe the underlying geometry of Computer Aided Design (CAD) models. Scanning artifacts, such as pro- trusions, missing parts, smoothed edges and holes, inevitably appear in real 3D scans of fabricated CAD objects. Learning the original CAD model construction from a 3D scan requires a ground truth to be available together with the corresponding 3D scan of an object. To solve the gap, we introduce a new dedicated dataset, the CC3D, containing 50k+ pairs of CAD models and their corresponding 3D meshes. This dataset is used to learn a convolutional autoencoder for point clouds sampled from the pairs of 3D scans - CAD models. The chal- lenges of this new dataset are demonstrated in comparison with other generative point cloud sampling models trained on ShapeNet. The CC3D autoencoder is efficient with respect to memory consumption and training time as compared to state- of-the-art models for 3D data generation. [less ▲]

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See detail3D SPARSE DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION
Shabayek, Abd El Rahman UL; Aouada, Djamila UL; Cherenkova, Kseniya UL et al

in 27th IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi 25-28 October 2020 (2020, October)

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See detailFinite deformations govern the anisotropic shear-induced area reduction of soft elastic contacts
Lengiewicz, Jakub UL; de Souza, Mariana; Lahmar, Mohamed A. et al

in Journal of the Mechanics and Physics of Solids (2020), 143

Solid contacts involving soft materials are important in mechanical engineering or biomechanics. Experimentally, such contacts have been shown to shrink significantly under shear, an effect which is ... [more ▼]

Solid contacts involving soft materials are important in mechanical engineering or biomechanics. Experimentally, such contacts have been shown to shrink significantly under shear, an effect which is usually explained using adhesion models. Here we show that quantitative agreement with recent high-load experiments can be obtained, with no adjustable parameter, using a non-adhesive model, provided that finite deformations are taken into account. Analysis of the model uncovers the basic mechanisms underlying anisotropic shear-induced area reduction, local contact lifting being the dominant one. We confirm experimentally the relevance of all those mechanisms, by tracking the shear-induced evolution of tracers inserted close to the surface of a smooth elastomer sphere in contact with a smooth glass plate. Our results suggest that finite deformations are an alternative to adhesion, when interpreting a variety of sheared contact experiments involving soft materials. [less ▲]

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See detailApplication of the DAD method for damage 1 localisation on an existing bridge structure using 2 close-range UAV photogrammetry
Erdenebat, Dolgion; Waldmann, Danièle UL

in Engineering Structures (2020)

A novel damage detection and localisation method, the so-called Deformation Area Difference method for localisation of damages in bridge structures is introduced. The method is based on static load ... [more ▼]

A novel damage detection and localisation method, the so-called Deformation Area Difference method for localisation of damages in bridge structures is introduced. The method is based on static load-deflection experiments with the prerequisite of high precise deflection measurement. This study presents the first experiences of applying the DAD method on a real bridge structure. The investigated structure is a prestressed concrete slab bridge with a span of about 27 m, which was built in 2013. The loading on the bridge is applied using six heavy trucks, each weighing up to 32 t. A wide range of the modern measurement technologies were used to achieve high precision measurements of the bridge deflection along the longitudinal axis, namely the photogrammetry using a big size drone, laser scanner, total station, levelling and displacement sensors. The performed load-deflection test was non-destructive since the maximum deformation did not exceed the serviceability limit state. The exercise of the novel damage detection and localisation method on a real structure initiated further optimisation opportunities of the DAD method and the study of its limits. Several boundary conditions and methodical influence factors related to the applicability of the proposed method were analysed, such as impacts of measurement precision, damage degree, the position of damage, and the number of measurement repetitions. [less ▲]

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See detailScientific Instruments in Constcamer Paintings: Pictorial Space as a Context for Interpretation
Koeleman, Floor UL

Scientific Conference (2020, September)

Representations of scientific instruments abound in the seventeenth-century genre of constcamer paintings. These works of art depict interiors full of rich collections of artifacts, natural materials ... [more ▼]

Representations of scientific instruments abound in the seventeenth-century genre of constcamer paintings. These works of art depict interiors full of rich collections of artifacts, natural materials, animals and people, and were created almost exclusively in Antwerp and Brussels. In contrast to material and written sources, such images provide us with a context, captured in paint, which contributes to our understanding of the contemporary meaning of scientific instruments. This presentation will highlight the wide variety of instruments (mainly optical and mathematical) that are included in constcamer paintings. Depending on how we define ‘scientific instrument’, between 63 and 100 constcamer paintings from the early modern period can be identified as including representations of scientific instruments. The study of these images from the perspective of the visual and material culture of science not only provides further insight into the variety of instruments that existed at the time, but also sheds light on how painters produced these representations, either by using an actual object or by resorting to a preexisting depiction. It will be shown that the instruments in the paintings reflect a thriving glass industry and the activity of skilled goldsmiths in local workshops and at the archducal court. While over the course of the seventeenth century the novelty of such instruments declined, their association with knowledge of nature, the role of vision and the art of painting persisted. As such, the instruments in constcamer paintings denote both a practical and a philosophical dimension, relating to the world of the senses as well as the intellect. [less ▲]

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See detailA three-level classification of French tweets in ecological crises
Kozlowski, Diego UL; Lannelongue, Elisa; Saudemont, Frédéric et al

in Information Processing and Management (2020), 57(5),

The possibilities that emerge from micro-blogging generated content for crisis-related situations make automatic crisis management using natural language processing techniques a hot research topic. Our ... [more ▼]

The possibilities that emerge from micro-blogging generated content for crisis-related situations make automatic crisis management using natural language processing techniques a hot research topic. Our aim here is to contribute to this line of research focusing for the first time on French tweets related to ecological crises in order to support the French Civil Security and Crisis Management Department to provide immediate feedback on the expectations of the populations involved in the crisis. We propose a new dataset manually annotated according to three dimensions: relatedness, urgency and intentions to act. We then experiment with binary classification (useful vs. non useful), three-class (non useful vs. urgent vs. non urgent) and multiclass classification (i.e., intention to act categories) relying on traditional feature-based machine learning using both state of the art and new features. We also explore several deep learning models trained with pre-trained word embeddings as well as contextual embeddings. We then investigate three transfer learning strategies to adapt these models to the crisis domain. We finally experiment with multi-input architectures by incorporating different metadata extra-features to the network. Our deep models, evaluated in random sampling, out-of-event and out-of-type configurations, show very good performances outperforming several competitive baselines. Our results define the first contribution to the field of crisis management in French social media. [less ▲]

Detailed reference viewed: 57 (1 UL)