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See detailAnalysis of cancer related protein isoforms by mass spectrometry
Ancheva, Lina UL

Doctoral thesis (2018)

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See detailBisymmetric and quasitrivial operations: characterizations and enumerations
Devillet, Jimmy UL

E-print/Working paper (2018)

We investigate the class of bisymmetric and quasitrivial binary operations on a given set X and provide various characterizations of this class as well as the subclass of bisymmetric, quasitrivial, and ... [more ▼]

We investigate the class of bisymmetric and quasitrivial binary operations on a given set X and provide various characterizations of this class as well as the subclass of bisymmetric, quasitrivial, and order-preserving binary operations. We also determine explicitly the sizes of these classes when the set X is finite. [less ▲]

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See detailEvaluation à l’ère du numérique: continuité ou rupture?
Reuter, Bob UL; Meyers, Christian UL; Busana, Gilbert UL

Scientific Conference (2018, January 10)

Face aux nouveaux défis qui se posent à la société-monde du 21e siècle, les « techno-prophètes » présagent que la numérisation nous aidera à améliorer l’éducation des futures générations (Dräger & Müller ... [more ▼]

Face aux nouveaux défis qui se posent à la société-monde du 21e siècle, les « techno-prophètes » présagent que la numérisation nous aidera à améliorer l’éducation des futures générations (Dräger & Müller-Eiselt, 2015 ; Khan, 2013 ; Cuban, 2003). L’évaluation des apprentissages assistée par ordinateur deviendrait notamment plus efficiente, plus pratique, plus flexible, plus rapide, plus objective, plus accessible, plus sécurisée, plus juste et plus économe. Par contre celle-ci reste souvent dans la continuité de pratiques existantes (Substitution ou Augmentation dans le modèle SAMR de Ruben Puentedura, 2006), donc limitée à la reproduction de connaissances déclaratives et de procédures fixes. Les ordinateurs sont en effet mieux aptes à rapidement corriger les réponses des apprenants à des tests standardisés et fermés. De plus, pour nous la révolution numérique incarne plus un grand défi qu’une solution miracle pour l’évaluation des apprentissages (scolaires ou autres). En effet, dans un monde où la numérisation mène à une croissance exponentielle et à une diffusion ultra-rapide des informations et à leur accès de plus en plus libre et facile, il ne suffit plus d’accumuler des connaissances, ni de simplement les reproduire. Mais il faut être capable de savoir où aller chercher des informations, comment juger leur crédibilité et utilité et comment les utiliser pour résoudre des problèmes. L’évaluation des apprentissages ne pourra donc plus se limiter à mesurer la capacité des élèves à mémoriser et à reproduire des informations mais devra s’aligner sur les nouveaux objectifs d’une éducation préparant les futures générations à affronter les défis d’un monde globalisé et connecté (cf. modèle des 21st century skills; Trilling & Fadel, 2009). La question fondamentale qui se posera pour l’évaluation des apprentissages sera celle de savoir comment évaluer des compétences (savoir, savoir-faire et savoir-être) complexes, dynamiques et changeantes. La question de l’utilisation des technologies numériques à des fins d’évaluation nous semble donc secondaire par rapport à la question de la transformation de l’évaluation afin qu’elle nous permette de répondre aux défis de la révolution civilisationnelle provoquée par la présence des technologies numériques et leur expansion irrémédiable dans nos pratiques culturelles, sociales, économiques, politiques et pédagogiques quotidiennes. Dans cette communication nous ne viserons pas nécessairement à fournir des réponses toutes faites, mais à stimuler le débat sur les relations mutuelles entre révolution numérique et évaluation en milieu scolaire, en termes d’innovations évolutives ou disruptives (Christensen, Johnson & Horn, 2008). [less ▲]

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See detailThe effect of liquid bridge model details on the dynamics of wet fluidized beds
Wu, Mingqiu UL; Khinast, Johannes; Radl, Stefan

in AIChE Journal (2018), 64(2), 437-456

Wet fluidized beds of particles in small periodic domains are simulated using the CFD-DEM approach. A liquid bridge is formed upon particle-particle collisions, which then ruptures when the particle ... [more ▼]

Wet fluidized beds of particles in small periodic domains are simulated using the CFD-DEM approach. A liquid bridge is formed upon particle-particle collisions, which then ruptures when the particle separation exceeds a critical distance. The simulations take into account both surface tension and viscous forces due to the liquid bridge. We perform a series of simulations based on different liquid bridge formation models: (1) the static bridge model of Shi and McCarthy, (2) a simple static version of the model of Wu et al., as well as (3) the full dynamic bridge model of Wu et al. We systematically compare the differences caused by different liquid bridge formation models, as well as their sensitivity to system parameters. Finally, we provide recommendations for which systems a dynamic liquid bridge model must be used, and for which application this appears to be less important [less ▲]

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See detailNon-Negative Paratuck2 Tensor Decomposition Combined to LSTM Network For Smart Contracts Profiling
Charlier, Jérémy Henri J. UL; State, Radu UL; Hilger, Jean

in Charlier, Jeremy; State, Radu; Hilger, Jean (Eds.) 2018 IEEE International Conference on Big Data and Smart Computing Proceedings (2018, January)

Smart contracts are programs stored and executed on a blockchain. The Ethereum platform, an open source blockchain-based platform, has been designed to use these programs offering secured protocols and ... [more ▼]

Smart contracts are programs stored and executed on a blockchain. The Ethereum platform, an open source blockchain-based platform, has been designed to use these programs offering secured protocols and transaction costs reduction. The Ethereum Virtual Machine performs smart contracts runs, where the execution of each contract is limited to the amount of gas required to execute the operations described in the code. Each gas unit must be paid using Ether, the crypto-currency of the platform. Due to smart contracts interactions evolving over time, analyzing the behavior of smart contracts is very challenging. We address this challenge in our paper. We develop for this purpose an innovative approach based on the nonnegative tensor decomposition PARATUCK2 combined with long short-term memory (LSTM) to assess if predictive analysis can forecast smart contracts interactions over time. To validate our methodology, we report results for two use cases. The main use case is related to analyzing smart contracts and allows shedding some light into the complex interactions among smart contracts. In order to show the generality of our method on other use cases, we also report its performance on video on demand recommendation. [less ▲]

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See detailCommissions de surperformance et protection de l'investisseur
Riassetto, Isabelle UL

in Bulletin Joly Bourse (2018)

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See detailPréjudice causé par le dépassement d'un mandat de gestion, Note sous Cass. com., 6 déc. 2017
Riassetto, Isabelle UL

in Revue de Droit Bancaire et Financier (2018)

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See detailChronique de droit des marchés financiers
Conac, Pierre-Henri UL

in Revue des Sociétés (2018)

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See detailTransnational Enforcement of Production Orders for Electronic Evidence. Beyond Mutual Recognition?
Ligeti, Katalin UL; Robinson, Gavin UL

in Kert, Robert; Lehner, Andrea (Eds.) Vielfahlt des Strafrechts im internationalen Kontext: Festschrift für Frank Höpfel zum 65. Geburtstag (2018)

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See detailFull 3D Reconstruction of Non-Rigidly Deforming Objects
Afzal, Hassan; Aouada, Djamila UL; Mirbach, Bruno et al

in ACM Transactions on Multimedia Computing, Communications, & Applications (2018)

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See detailFaut-il lire, et que faut-il lire, pour mieux savoir lire?
Reichert, Monique UL; Krämer, Charlotte UL; Rivas, Salvador UL et al

Scientific Conference (2018, January)

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See detailLa pratique luxembourgeoise en matière de droit international public (2016)
Kinsch, Patrick UL; Friden, Georges

in Annales de droit luxembourgeois (2018), 26

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See detailPost-operative deep brain stimulation assessment: Automatic data integration and report generation
Husch, Andreas UL; Petersen, Mikkel V.; Gemmar, Peter et al

in Brain Stimulation (2018)

Background The gold standard for post-operative deep brain stimulation (DBS) parameter tuning is a monopolar review of all stimulation contacts, a strategy being challenged by recent developments of more ... [more ▼]

Background The gold standard for post-operative deep brain stimulation (DBS) parameter tuning is a monopolar review of all stimulation contacts, a strategy being challenged by recent developments of more complex electrode leads. Objective Providing a method to guide clinicians on DBS assessment and parameter tuning by automatically integrating patient individual data. Methods We present a fully automatic method for visualization of individual deep brain structures in relation to a DBS lead by combining precise electrode recovery from post-operative imaging with individual estimates of deep brain morphology utilizing a 7T-MRI deep brain atlas. Results The method was evaluated on 20 STN DBS cases. It demonstrated robust automatic creation of 3D-enabled PDF reports visualizing electrode to brain structure relations and proved valuable in detecting miss placed electrodes. Discussion Automatic DBS assessment is feasible and can conveniently provide clinicians with relevant information on DBS contact positions in relation to important anatomical structures. [less ▲]

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See detailOwnership Concentration and the Innovativeness of Corporate Ventures
Hussinger, Katrin UL; Dick, Johannes; Czarnitzki, Dirk

in Research Policy (2018)

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See detailAvant-propos à Le discours rapporté… une question de temps
Barthelmebs-Raguin, Hélène UL; Komur-Thilloy, Greta

in Barthelmebs-Raguin, Hélène; Komur-Thilloy, Greta; Marnette, Sophie (Eds.) et al Le discours rapporté… une question de temps (2018)

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See detailLa libertas, strumento ideologico dell’espansione territoriale del comune di Firenze nel XIV secolo
Abeles, Solal UL

in Zorzi, Andrea (Ed.) La libertà nelle città comunali e signorili italiane (2018)

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See detailWeakening the tight coupling between geometry and simulation in isogeometric analysis: from sub- and super- geometric analysis to Geometry Independent Field approximaTion (GIFT)
Atroshchenko, Elena; Tomar, Satyendra UL; Xu, Gang et al

in International Journal for Numerical Methods in Engineering (2018)

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See detailWHY IS THE MARKET SKEWNESS-RETURN RELATIONSHIP NEGATIVE?
Lehnert, Thorsten UL

E-print/Working paper (2018)

The observed negative relationship between market skewness and excess return or the negative price of market skewness risk in the cross-section of stock returns is somewhat counterintuitive when we ... [more ▼]

The observed negative relationship between market skewness and excess return or the negative price of market skewness risk in the cross-section of stock returns is somewhat counterintuitive when we consider the usual interpretation of e.g. option-implied skewness as an indicator of jump risk or downside risk. One possible explanation for this inconsistency is that there are factors affecting option-implied market skewness other than jump risk in the stock market. In this paper, I find that price pressure associated with “crowded trades” of mutual funds is an important endogenous factor. Given that retail investors are prone to herding, the directional trading of mutual funds is correlated, and their collective actions can generate short-term price pressure on aggregate stock prices. Short sellers systematically exploit these patterns not only in the equity lending market, but also in the options market. In line with this economic channel, I find that firstly, the significant negative relationship between market skewness and returns becomes insignificant, once I control for price pressure. Secondly, the negative relationship is only present for the “bad” downside component of risk-neutral skewness, associated with out-of-the-money put options. For the “good” upside component of risk-neutral skewness, associated with out-of-the-money call options, the relationship is always positive. Thirdly, price pressure affects the skewness-return relationship, which can be clearly distinguished from the impact of flows on the volatility-return relationship in terms of the leverage effect. [less ▲]

Detailed reference viewed: 17 (1 UL)