References of "2017"
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See detailChaotic Traversal (CHAT): Very Large Graphs Traversal Using Chaotic Dynamics
Changaival, Boonyarit UL; Rosalie, Martin UL; Danoy, Grégoire UL et al

in International Journal of Bifurcation and Chaos (2017), 27(14), 1750215

Graph Traversal algorithms can find their applications in various fields such as routing problems, natural language processing or even database querying. The exploration can be considered as a first ... [more ▼]

Graph Traversal algorithms can find their applications in various fields such as routing problems, natural language processing or even database querying. The exploration can be considered as a first stepping stone into knowledge extraction from the graph which is now a popular topic. Classical solutions such as Breadth First Search (BFS) and Depth First Search (DFS) require huge amounts of memory for exploring very large graphs. In this research, we present a novel memoryless graph traversal algorithm, Chaotic Traversal (CHAT) which integrates chaotic dynamics to traverse large unknown graphs via the Lozi map and the Rössler system. To compare various dynamics effects on our algorithm, we present an original way to perform the exploration of a parameter space using a bifurcation diagram with respect to the topological structure of attractors. The resulting algorithm is an efficient and nonresource demanding algorithm, and is therefore very suitable for partial traversal of very large and/or unknown environment graphs. CHAT performance using Lozi map is proven superior than the, commonly known, Random Walk, in terms of number of nodes visited (coverage percentage) and computation time where the environment is unknown and memory usage is restricted. [less ▲]

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See detailSecure Number Theoretic Transform and Speed Record for Ring-LWE Encryption on Embedded Processors
Seo, Hwajeong; Liu, Zhe UL; Park, Taehwan et al

in The 20th Annual International Conference on Information Security and Cryptology - ICISC2017 (2017, December 30)

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See detailDark Matter in host-microbiome metabolomics: Tackling the unknowns-A review
Peisl, Beatrice Yasmin Loulou UL; Schymanski, Emma UL; Wilmes, Paul UL

in Analytica Chimica Acta (2017)

The “dark matter” in metabolomics (unknowns) represents an exciting frontier with significant potential for discovery in relation to biochemistry, yet it also presents one of the largest challenges to ... [more ▼]

The “dark matter” in metabolomics (unknowns) represents an exciting frontier with significant potential for discovery in relation to biochemistry, yet it also presents one of the largest challenges to overcome. This focussed review takes a close look at the current state-of-the-art and future challenges in tackling the unknowns with specific focus on the human gut microbiome and host-microbe interactions. Metabolomics, like metabolism itself, is a very dynamic discipline, with many workflows and methods under development, both in terms of chemical analysis and post-analysis data processing. Here, we look at developments in the mutli-omic analyses and the use of mass spectrometry to investigate the exchange of metabolites between the host and the microbiome as well as the environment within the microbiome. A case study using HuMiX, a microfluidics-based human-microbial co-culture system that enables the co-culture of human and microbial cells under controlled conditions, is used to highlight opportunities and current limitations. Common definitions, approaches, databases and elucidation techniques from both the environmental and metabolomics fields are covered, with perspectives on how to merge these, as the boundaries blur between the fields. While reflecting on the number of unknowns remaining to be conquered in typical complexsamples measured with mass spectrometry (often ordersof magnitude above the “knowns”), we provide an outlook on future perspectives and challenges in elucidating the relevant “dark matter”. [less ▲]

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See detailGenetic variation in CFH predicts phenytoin-induced maculopapular exanthema in European-descent patients.
McCormack, Mark; Gui, Hongsheng; Ingason, Andres et al

in Neurology (2017)

OBJECTIVE: To characterize, among European and Han Chinese populations, the genetic predictors of maculopapular exanthema (MPE), a cutaneous adverse drug reaction common to antiepileptic drugs. METHODS ... [more ▼]

OBJECTIVE: To characterize, among European and Han Chinese populations, the genetic predictors of maculopapular exanthema (MPE), a cutaneous adverse drug reaction common to antiepileptic drugs. METHODS: We conducted a case-control genome-wide association study of autosomal genotypes, including Class I and II human leukocyte antigen (HLA) alleles, in 323 cases and 1,321 drug-tolerant controls from epilepsy cohorts of northern European and Han Chinese descent. Results from each cohort were meta-analyzed. RESULTS: We report an association between a rare variant in the complement factor H-related 4 (CFHR4) gene and phenytoin-induced MPE in Europeans (p = 4.5 x 10(-11); odds ratio [95% confidence interval] 7 [3.2-16]). This variant is in complete linkage disequilibrium with a missense variant (N1050Y) in the complement factor H (CFH) gene. In addition, our results reinforce the association between HLA-A*31:01 and carbamazepine hypersensitivity. We did not identify significant genetic associations with MPE among Han Chinese patients. CONCLUSIONS: The identification of genetic predictors of MPE in CFHR4 and CFH, members of the complement factor H-related protein family, suggest a new link between regulation of the complement system alternative pathway and phenytoin-induced hypersensitivity in European-ancestral patients. [less ▲]

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See detailRecording Belgium's Gravitational History
Van Camp, Michel; Francis, Olivier UL; Lecocq, Thomas

in EOS : Transactions, American Geophysical Union (2017)

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See detail"Selig die Armen im Geiste"
Weber, Jean-Marie UL

Article for general public (2017)

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See detailDamnatio memoriae
Scuto, Denis UL

Article for general public (2017)

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See detailThermotropic Liquid Crystal-Assisted Chemical and Biological Sensors
Popov, Nicolai; Honaker, Lawrence William UL; Popova, Maia et al

in Materials (2017), 11(20),

In this review article, we analyze recent progress in the application of liquid crystal-assisted advanced functional materials for sensing biological and chemical analytes. Multiple research groups ... [more ▼]

In this review article, we analyze recent progress in the application of liquid crystal-assisted advanced functional materials for sensing biological and chemical analytes. Multiple research groups demonstrate substantial interest in liquid crystal (LC) sensing platforms, generating an increasing number of scientific articles. We review trends in implementing LC sensing techniques and identify common problems related to the stability and reliability of the sensing materials as well as to experimental set-ups. Finally, we suggest possible means of bridging scientific findings to viable and attractive LC sensor platforms. [less ▲]

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See detailFunctionally Convergent B Cell Receptor Sequences in Transgenic Rats Expressing a Human B Cell Repertoire in Response to Tetanus Toxoid and Measles Antigens.
Burckert, Jean-Philippe; Dubois, Axel R. S. X.; Faison, William J. et al

in Frontiers in immunology (2017), 8

The identification and tracking of antigen-specific immunoglobulin (Ig) sequences within total Ig repertoires is central to high-throughput sequencing (HTS) studies of infections or vaccinations. In this ... [more ▼]

The identification and tracking of antigen-specific immunoglobulin (Ig) sequences within total Ig repertoires is central to high-throughput sequencing (HTS) studies of infections or vaccinations. In this context, public Ig sequences shared by different individuals exposed to the same antigen could be valuable markers for tracing back infections, measuring vaccine immunogenicity, and perhaps ultimately allow the reconstruction of the immunological history of an individual. Here, we immunized groups of transgenic rats expressing human Ig against tetanus toxoid (TT), Modified Vaccinia virus Ankara (MVA), measles virus hemagglutinin and fusion proteins expressed on MVA, and the environmental carcinogen benzo[a]pyrene, coupled to TT. We showed that these antigens impose a selective pressure causing the Ig heavy chain (IgH) repertoires of the rats to converge toward the expression of antibodies with highly similar IgH CDR3 amino acid sequences. We present a computational approach, similar to differential gene expression analysis, that selects for clusters of CDR3s with 80% similarity, significantly overrepresented within the different groups of immunized rats. These IgH clusters represent antigen-induced IgH signatures exhibiting stereotypic amino acid patterns including previously described TT- and measles-specific IgH sequences. Our data suggest that with the presented methodology, transgenic Ig rats can be utilized as a model to identify antigen-induced, human IgH signatures to a variety of different antigens. [less ▲]

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See detailConstrained Bayesian Active Learning of Interference Channels in Cognitive Radio Networks
Tsakmalis, Anestis UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in IEEE Journal of Selected Topics in Signal Processing (2017)

In this paper, a sequential probing method for interference constraint learning is proposed to allow a centralized Cognitive Radio Network (CRN) accessing the frequency band of a Primary User (PU) in an ... [more ▼]

In this paper, a sequential probing method for interference constraint learning is proposed to allow a centralized Cognitive Radio Network (CRN) accessing the frequency band of a Primary User (PU) in an underlay cognitive scenario with a designed PU protection specification. The main idea is that the CRN probes the PU and subsequently eavesdrops the reverse PU link to acquire the binary ACK/NACK packet. This feedback indicates whether the probing-induced interference is harmful or not and can be used to learn the PU interference constraint. The cognitive part of this sequential probing process is the selection of the power levels of the Secondary Users (SUs) which aims to learn the PU interference constraint with a minimum number of probing attempts while setting a limit on the number of harmful probing-induced interference events or equivalently of NACK packet observations over a time window. This constrained design problem is studied within the Active Learning (AL) framework and an optimal solution is derived and implemented with a sophisticated, accurate and fast Bayesian Learning method, the Expectation Propagation (EP). The performance of this solution is also demonstrated through numerical simulations and compared with modified versions of AL techniques we developed in earlier work. [less ▲]

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See detailCoupled CFD-DEM with Heat and Mass transfer to Investigate the Melting of a Granular Packed Bed
Baniasadi, Mehdi UL; Baniasadi, Maryam UL; Peters, Bernhard UL

in Chemical Engineering Science (2017)

The eXtended Discrete Element Method (XDEM) platform which is a Coupled Eulerian-Lagrangian framework with heat and mass transfer, is extended for melting of granular packed beds. In this method, the ... [more ▼]

The eXtended Discrete Element Method (XDEM) platform which is a Coupled Eulerian-Lagrangian framework with heat and mass transfer, is extended for melting of granular packed beds. In this method, the fluid is simulated by computational fluid dynamics (CFD) and the soft-sphere discrete element approach (DEM) is used for the particle system. A four-way coupling accounts for solid-liquid interaction via drag and buoyancy forces and the collisions between the particles and the walls. The contact forces between the particles and wall-particle contacts have been calculated by the hertz-mindlin model. The particles heat up, melt and shrink due to heat and mass exchange, and the temperature distributions inside the particles are described. In order to validate the method, melting of a single ice particle and of a packed bed of ice in flowing water have been carried out. Very good agreement between the simulation and experiment has been achieved. The effects of the temperature and velocity of flowing water on melting rate are also discussed. [less ▲]

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See detailWWII, Russians in Luxembourg: Sowjetesch Zwangsaarbechter zu Lëtzebuerg
Molitor, Maurice; Ganschow, Inna UL

Speeches/Talks (2017)

Am Kader vun engem Recherche-Projet iwwer "100 Joer russesch Emigratioun op Lëtzebuerg" fuerscht d'Inna Ganschow, mat der Ënnerstëtzung vun der Lydie-Schmit-Stëftung, ënnert anerem och iwwer d'Lous vu ... [more ▼]

Am Kader vun engem Recherche-Projet iwwer "100 Joer russesch Emigratioun op Lëtzebuerg" fuerscht d'Inna Ganschow, mat der Ënnerstëtzung vun der Lydie-Schmit-Stëftung, ënnert anerem och iwwer d'Lous vu sowjeteschen Zwangsaarbechter, déi an de Joren 1942 bis 44 op Lëtzebuerger Schmelzen an a Lëtzebuerger Bauerebetriber geschafft hunn. [less ▲]

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See detailCalculating the Malliavin derivative of some stochastic mechanics problems
Hauseux, Paul UL; Hale, Jack UL; Bordas, Stéphane UL

in PLoS ONE (2017), 12(12), 0189994

The Malliavin calculus is an extension of the classical calculus of variations from deterministic functions to stochastic processes. In this paper we aim to show in a practical and didactic way how to ... [more ▼]

The Malliavin calculus is an extension of the classical calculus of variations from deterministic functions to stochastic processes. In this paper we aim to show in a practical and didactic way how to calculate the Malliavin derivative, the derivative of the expectation of a quantity of interest of a model with respect to its underlying stochastic parameters, for four problems found in mechanics. The non-intrusive approach uses the Malliavin Weight Sampling (MWS) method in conjunction with a standard Monte Carlo method. The models are expressed as ODEs or PDEs and discretised using the finite difference or finite element methods. Specifically, we consider stochastic extensions of; a 1D Kelvin-Voigt viscoelastic model discretised with finite differences, a 1D linear elastic bar, a hyperelastic bar undergoing buckling, and incompressible Navier-Stokes flow around a cylinder, all discretised with finite elements. A further contribution of this paper is an extension of the MWS method to the more difficult case of non-Gaussian random variables and the calculation of second-order derivatives. We provide open-source code for the numerical examples in this paper. [less ▲]

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See detailWorkshop on Supergeometry and Applications
Bruce, Andrew UL; Poncin, Norbert UL

Report (2017)

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See detailAn elementary proof of the formal rigidity of the Witt and Virasoro algebra
Schlichenmaier, Martin UL

Scientific Conference (2017, December 19)

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See detailBrexit:Options for Banks from the UK to Access the EU Market
Prüm, André UL

in Europäische Zeitschrift für Wirtschaftsrecht = European Journal of Business Law = Revue Européenne de Droit Economique (2017), 24/2017

UK banks who want to maintain an access to the EU market after BREXIT are currently assessing their options. The prospect of a free trade agreement with the EU remaining uncertain, they cannot rely on ... [more ▼]

UK banks who want to maintain an access to the EU market after BREXIT are currently assessing their options. The prospect of a free trade agreement with the EU remaining uncertain, they cannot rely on such an agreement before taking a decision. The present paper sketches the three main options - i.e. servicing EU clients directly from the UK, creating a branch or establishing a subsidiary - comparing their benefits and restrictions under the GATS rules and the free movement of capital and freedom of establishment under the EU Treaties. The focus is on traditional banking activities leaving aside investment services. Whilst acting through a EU based subsidiary appears to be the most promising option for UK banks who ambition to serve clients on a EU scale, the choice of location is not trivial as Member States are competing to attract such subsidiaries to their jurisdiction. The ECB in its supervisory role of the banking sector has already signaled that it will not allow such competition to result in a supervisory arbitrage. [less ▲]

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See detailHomotopical Geometry over Differential Operators and Batalin-Vilkovisky Complex
Poncin, Norbert UL

Presentation (2017, December 18)

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See detailThe Empirical Saddlepoint Estimator
Holcblat, Benjamin UL; Sowell, Fallaw

Scientific Conference (2017, December 17)

Previous studies have shown that existing moment-based estimation approaches have poor small-sample performance in some applications. We propose an alternative that is based on the ESP (empirical ... [more ▼]

Previous studies have shown that existing moment-based estimation approaches have poor small-sample performance in some applications. We propose an alternative that is based on the ESP (empirical saddlepoint) approximation of the solutions to the empirical moment conditions. Saddlepoint approximations are known to perform well in small sample. The novel estimator proposed, which we call the ESP estimator, is the mode of the ESP approximation. We show that it is consistent and asymptotically normal, and we study its higher-order bias. We propose novel test statistics based on the ESP estimator. Finally, we also investigate the finite-sample properties of the ESP estimator and related test statistics through Monte-Carlo simulations. [less ▲]

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See detailThe Material Competence of the European Public Prosecutor's Office (EPPO) and the PIF Directive
Marletta, Angelo UL

in Os novos desafios da cooperação judiciária e policial na União Europeia e da implementação da Procuradoria Europeia (2017)

Detailed reference viewed: 37 (6 UL)