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See detailThe edge-based strain smoothing method for compressible and nearly incompressible non-linear elasticity for solid mechanics
Lee, Chang-Kye; Mihai, L. Angela; Kerfriden, Pierre et al

E-print/Working paper (in press)

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See detailYolanda von Vianden und das Yolanda-Epos
Sieburg, Heinz UL

E-print/Working paper (in press)

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See detailThe mod 2 cohomology rings of congruence subgroups in the Bianchi groups
Berkove, Ethan; Lakeland, Grant; Rahm, Alexander UL

E-print/Working paper (in press)

We provide new tools for the calculation of the torsion in the cohomology of congruence subgroups in the Bianchi groups : An algorithm for finding particularly useful fundamental domains, and an analysis ... [more ▼]

We provide new tools for the calculation of the torsion in the cohomology of congruence subgroups in the Bianchi groups : An algorithm for finding particularly useful fundamental domains, and an analysis of the equivariant spectral sequence combined with torsion subcomplex reduction. [less ▲]

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See detailThe Impact of the Asset Purchase Programme on Systemic Risk in the Euro Area: Is There a Threat?
Chavarro Sanchez, Leidy; Nadal De Simone, Francisco; Lehnert, Thorsten UL

E-print/Working paper (2021)

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See detailNon-Standard Errors
Wolff, Christian UL; Zhang, Lu UL; Holzmeister, Felix

E-print/Working paper (2021)

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See detailZur Entwicklung des TSG unter Berücksichtigung der aktuellen politischen Debatte
de Silva, Adrian UL

E-print/Working paper (2021)

The article deals with developments regarding the Transsexual Act and the current political debate on trans law in the Federal Republic of Germany.

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See detailAuswirkungen der Covid-19-Krise auf die Soziale Arbeit in Luxemburg aus Sicht der Praxis : Ergebnisse einer Online-Befragung im Sommer 2020
Flammang, Manou Laure UL; Böwen, Petra UL

E-print/Working paper (2021)

This publication presents the findings of an online survey on the impact of the Covid-19 crisis on social work in Luxembourg from the perspective of practitioners. It shows what effects the crisis as well ... [more ▼]

This publication presents the findings of an online survey on the impact of the Covid-19 crisis on social work in Luxembourg from the perspective of practitioners. It shows what effects the crisis as well as the hygiene and protection measures had on daily social work practice, on the addressees and on the practitioners themselves. The findings are then reflected upon and discussed in relation to international research findings and professional publications on the topic of social work in times of Covid-19. [less ▲]

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See detailDiversity on the screen
Zanaj, Skerdilajda UL

E-print/Working paper (2021)

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See detailEarthquakes and Mental Health
Bertinelli, Luisito UL; Mahé, Clotilde; Strobl, Eric

E-print/Working paper (2021)

Earthquakes may seriously deteriorate mental health by generating fear and stress as a result of economic and human losses. However, mental health has also been found to improve as a result of greater ... [more ▼]

Earthquakes may seriously deteriorate mental health by generating fear and stress as a result of economic and human losses. However, mental health has also been found to improve as a result of greater social cohesion in affected communities after the event. We examine the short-run effects of earthquakes on a wide set of mental health outcomes in Ecuador. To this end, we combine hospital admissions, death records, and survey data with precise measures of local seismic activity to exploit the plausibly random spatial and temporal nature of earthquake intensity. We find that damaging earthquakes decrease the propensity to be admitted, the number of days of hospitalisation for mental and behavioural disorders, and deaths due to suicide. Estimates from nationally-representative surveys provide suggestive evidence of increased life satisfaction, trust, and religious observance, and thus provide a possible explanation for the fall in admissions and suicides after an earthquake. [less ▲]

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See detailNonstandard n-distances based on certain geometric constructions
Kiss, Gergely; Marichal, Jean-Luc UL

E-print/Working paper (2021)

The concept of n-distance was recently introduced to generalize the classical definition of distance to functions of n arguments. In this paper we investigate this concept through a number of examples ... [more ▼]

The concept of n-distance was recently introduced to generalize the classical definition of distance to functions of n arguments. In this paper we investigate this concept through a number of examples based on certain geometrical constructions. In particular, our study shows to which extent the computation of the best constant associated with an n-distance may sometimes be difficult and tricky. It also reveals that two important graph theoretical concepts, namely the total length of the Euclidean Steiner tree and the total length of the minimal spanning tree constructed on n points, are instances of n-distances. [less ▲]

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See detailBismut-Stroock Hessian formulas and local Hessian estimates for heat semigroups and harmonic functions on Riemannian manifolds
Chen, Qin-Qian; Cheng, Li-Juan; Thalmaier, Anton UL

E-print/Working paper (2021)

In this article, we develop a martingale approach to localized Bismut-type Hessian formulas for heat semigroups on Riemannian manifolds. Our approach extends the Hessian formulas established by Stroock ... [more ▼]

In this article, we develop a martingale approach to localized Bismut-type Hessian formulas for heat semigroups on Riemannian manifolds. Our approach extends the Hessian formulas established by Stroock (1996) and removes in particular the compact manifold restriction. To demonstrate the potential of these formulas, we give as application explicit quantitative local estimates for the Hessian of the heat semigroup, as well as for harmonic functions on regular domains in Riemannian manifolds. [less ▲]

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See detailParental migration and psychological well-being of children. Longitudinal evidence from Ghana
Raturi, Radhika; Cebotari, Victor UL

E-print/Working paper (2021)

Detailed reference viewed: 24 (0 UL)
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See detailLabor Market Effects of Technology Shocks biased Toward the Traded Sector
Bertinelli, Luisito UL; Cardi; Restout

E-print/Working paper (2021)

Motivated by recent evidence pointing at an increasing contribution of asymmetric shocks across sectors to economic fluctuations, we explore the labor market effects of technology shocks biased toward the ... [more ▼]

Motivated by recent evidence pointing at an increasing contribution of asymmetric shocks across sectors to economic fluctuations, we explore the labor market effects of technology shocks biased toward the traded sector. Our VAR evidence for seventeen OECD countries reveals that the non-traded sector alone drives the increase in total hours worked following a technology shock that increases permanently traded relative to non-traded TFP. The shock generates a reallocation of labor toward the non-traded sector which contributes to 35% on average of the rise in non-traded hours worked. Both labor reallocation and variations in labor income shares are found empirically connected with factor-biased technological change. Our quantitative analysis shows that a two-sector open economy model with flexible prices can reproduce the labor market effects we document empirically once we allow for imperfect mobility of labor, gross substitutability between home- and foreign-produced traded goods, and factor-biased technological change. When calibrating the model to country-specific data, its ability to account for the cross-country reallocation and redistributive effects we estimate increases once we let factor-biased technological change vary between sectors and across countries. [less ▲]

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See detailA Formalisation of Abstract Argumentation in Higher-Order Logic
Steen, Alexander UL; Fuenmayor Pelaez, David UL

E-print/Working paper (2021)

We present an approach for representing abstract argumentation frameworks based on an encoding into classical higher-order logic. This provides a uniform framework for computer-assisted assessment of ... [more ▼]

We present an approach for representing abstract argumentation frameworks based on an encoding into classical higher-order logic. This provides a uniform framework for computer-assisted assessment of abstract argumentation frameworks using interactive and automated reasoning tools. This enables the formal analysis and verification of meta-theoretical properties as well as the flexible generation of extensions and labellings with respect to well-known argumentation semantics. [less ▲]

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See detailThe role of economic complexity on the formation of gender roles
Zanaj, Skerdilajda UL

E-print/Working paper (2021)

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See detailA global carbon tax? Why firm mobility and heterogeneity matters
Zanaj, Skerdilajda UL

E-print/Working paper (2021)

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See detailRequirements And Threat Models of Adversarial Attacks and Robustness of Chest X-ray classification
Ghamizi, Salah UL; Cordy, Maxime UL; Papadakis, Mike UL et al

E-print/Working paper (2021)

Vulnerability to adversarial attacks is a well-known weakness of Deep Neural Networks. While most of the studies focus on natural images with standardized benchmarks like ImageNet and CIFAR, little ... [more ▼]

Vulnerability to adversarial attacks is a well-known weakness of Deep Neural Networks. While most of the studies focus on natural images with standardized benchmarks like ImageNet and CIFAR, little research has considered real world applications, in particular in the medical domain. Our research shows that, contrary to previous claims, robustness of chest x-ray classification is much harder to evaluate and leads to very different assessments based on the dataset, the architecture and robustness metric. We argue that previous studies did not take into account the peculiarity of medical diagnosis, like the co-occurrence of diseases, the disagreement of labellers (domain experts), the threat model of the attacks and the risk implications for each successful attack. In this paper, we discuss the methodological foundations, review the pitfalls and best practices, and suggest new methodological considerations for evaluating the robustness of chest xray classification models. Our evaluation on 3 datasets, 7 models, and 18 diseases is the largest evaluation of robustness of chest x-ray classification models. We believe our findings will provide reliable guidelines for realistic evaluation and improvement of the robustness of machine learning models for medical diagnosis. [less ▲]

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See detailAnalysis and Probing of Parallel Channels in the Lightning Network
Biryukov, Alexei UL; Naumenko, Gleb; Tikhomirov, Sergei UL

E-print/Working paper (2021)

Bitcoin can process only a few transactions per second, which is insufficient for a global payment network. The Lightning Network (LN) aims to address this challenge. The LN allows for low-latency bitcoin ... [more ▼]

Bitcoin can process only a few transactions per second, which is insufficient for a global payment network. The Lightning Network (LN) aims to address this challenge. The LN allows for low-latency bitcoin transfers through a network of payment channels. In contrast to regular Bitcoin transactions, payments in the LN are not globally broadcast. Thus it may improve not only Bitcoin's scalability but also privacy. However, the probing attack allows an adversary to discover channel balances, threatening users' privacy. Prior work on probing did not account for the possibility of multiple (parallel) channels between two nodes. Naive probing algorithms yield false results for parallel channels. In this work, we develop a new probing model that accurately accounts for parallel channels. We describe jamming-enhanced probing that allows for full balance information extraction in multi-channel hops, which was impossible with earlier probing methods. We quantify the attacker's information gain and propose an optimized algorithm for choosing probe amounts for N-channel hops. We demonstrate its efficiency based on real-world data using our own probing-focused LN simulator. Finally, we discuss countermeasures such as new forwarding strategies, intra-hop payment split, rebalancing, and unannounced channels. [less ▲]

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See detailQKD parameter estimation by two-universal hashing leads to faster convergence to the asymptotic rate
Ostrev, Dimiter UL

E-print/Working paper (2021)

This paper proposes and proves security of a QKD protocol which uses two-universal hashing instead of random sampling to estimate the number of bit flip and phase flip errors. For this protocol, the ... [more ▼]

This paper proposes and proves security of a QKD protocol which uses two-universal hashing instead of random sampling to estimate the number of bit flip and phase flip errors. For this protocol, the difference between asymptotic and finite key rate decreases with the number $n$ of qubits as $cn^{-1}$, where $c$ depends on the security parameter. For comparison, the same difference decreases no faster than $c'n^{-1/3}$ for an optimized protocol that uses random sampling and has the same asymptotic rate, where $c'$ depends on the security parameter and the error rate. [less ▲]

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See detailEconomic development, weather shocks and child marriage in South Asia: A machine learning approach
Dietrich, Stephan; Meysonnat, Aline; Rosales, Francisco et al

E-print/Working paper (2021)

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See detailImpact of mining boom on the quality of public goods in Sub-Saharan Africa
Bertinelli, Luisito UL; Bourgain, Arnaud UL

E-print/Working paper (2021)

In this paper, we investigate the impact of public mining revenues on perception indicators of public goods quality in five mining countries that have recently experienced a boom in their government ... [more ▼]

In this paper, we investigate the impact of public mining revenues on perception indicators of public goods quality in five mining countries that have recently experienced a boom in their government revenues: Burkina Faso, Ghana, D.R. Congo, Tanzania, and Zambia. The effect of the tax revenue boom is identified using a difference-in-differences estimation strategy. Our estimations indicate that people living in mining regions as having a sense of structural disadvantage in terms of the provision of public goods; however, this perception is pro-cyclical in the presence of resource booms/busts. Our results hold even after taking account of the possible endogeneity of our measure of resource revenue. [less ▲]

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See detailHessian heat kernel estimates and Calderón-Zygmund inequalities on complete Riemannian manifolds
Cao, Jun; Cheng, Li-Juan; Thalmaier, Anton UL

E-print/Working paper (2021)

We address some fundamental questions concerning geometric analysis on Riemannian manifolds. It has been asked whether the Lp-Calderón-Zygmund inequalities extend to a reasonable class of non-compact ... [more ▼]

We address some fundamental questions concerning geometric analysis on Riemannian manifolds. It has been asked whether the Lp-Calderón-Zygmund inequalities extend to a reasonable class of non-compact Riemannian manifolds without the assumption of a positive injectivity radius. In the present paper, we give a positive answer for 1 < p < 2 under the natural assumption of a lower bound on the Ricci curvature. For p > 2, we complement the study in Güneysu-Pigola (2015) and derive sufficient geometric criteria for the validity of the Calderón-Zygmund inequality by adding Kato class bounds on the Riemann curvature tensor and the covariant derivative of Ricci curvature. Probabilistic tools, like Hessian formulas and Bismut type representations for heat semigroups, play a significant role throughout the proofs. [less ▲]

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See detailSome inequalities on Riemannian manifolds linking Entropy, Fisher information, Stein discrepancy and Wasserstein distance
Cheng, Li-Juan; Thalmaier, Anton UL; Wang, Feng-Yu

E-print/Working paper (2021)

For a complete connected Riemannian manifold M let V∊ C^2(M) be such that µ(dx)=exp(-V(x))vol(dx) is a probability measure on M. Taking µ as reference measure, we derive inequalities for probability ... [more ▼]

For a complete connected Riemannian manifold M let V∊ C^2(M) be such that µ(dx)=exp(-V(x))vol(dx) is a probability measure on M. Taking µ as reference measure, we derive inequalities for probability measures on M linking relative entropy, Fisher information, Stein discrepancy and Wasserstein distance. These inequalities strengthen in particular the famous log-Sobolev and transportation-cost inequality and extend the so-called Entropy/Stein-discrepancy/Information (HSI) inequality established by Ledoux, Nourdin and Peccati (2015) for the standard Gaussian measure on Euclidean space to the setting of Riemannian manifolds. [less ▲]

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See detailGravity prop and moduli spaces Mg,n
Merkoulov (merkulov), Serguei UL

E-print/Working paper (2021)

Let Mg,n be the moduli space of algebraic curves of genus g with m+n marked points decomposed into the disjoint union of two sets of cardinalities m and n, and H∙c(Mm+n) its compactly supported cohomology ... [more ▼]

Let Mg,n be the moduli space of algebraic curves of genus g with m+n marked points decomposed into the disjoint union of two sets of cardinalities m and n, and H∙c(Mm+n) its compactly supported cohomology group. We prove that the collection of S-bimodules {H∙−mc(Mg,m+n)} has the structure of a properad (called the gravity properad) such that it contains the (degree shifted) E. Getzler's gravity operad as the sub-collection {H∙−1c(M0,1+n)}n≥2. Moreover, we prove that the generators of the 1-dimensional cohomology groups H∙−1c(M0,1+2), H∙−2c(M0,2+1) and H∙−3c(M0,3+0) satisfy with respect to this properadic structure the relations of the (degree shifted) quasi-Lie bialgebra, a fact making the totality of cohomology groups ∏g,m,nH∙c(Mg,m+n)⊗Sopm×Sn(sgnm⊗Idn) into a complex with the differential fully determined by the just mentioned three cohomology classes . It is proven that this complex contains infinitely many cohomology classes, all coming from M. Kontsevich's odd graph complex. The gravity prop structure is established with the help of T. Willwacher's twisting endofunctor (in the category of properads under the operad of Lie algebras) and K. Costello's theory of moduli spaces of nodal disks with marked boundaries and internal marked points (such that each disk contains at most one internal marked point). [less ▲]

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See detailFrom robust tests to Bayes-like posterior distributions
Baraud, Yannick UL

E-print/Working paper (2021)

In the Bayes paradigm and for a given loss function, we propose the construction of a new type of posterior distributions for estimating the law of an n-sample. The loss functions we have in mind are ... [more ▼]

In the Bayes paradigm and for a given loss function, we propose the construction of a new type of posterior distributions for estimating the law of an n-sample. The loss functions we have in mind are based on the total variation distance, the Hellinger distance as well as some 𝕃j-distances. We prove that, with a probability close to one, this new posterior distribution concentrates its mass in a neighbourhood of the law of the data, for the chosen loss function, provided that this law belongs to the support of the prior or, at least, lies close enough to it. We therefore establish that the new posterior distribution enjoys some robustness properties with respect to a possible misspecification of the prior, or more precisely, its support. For the total variation and squared Hellinger losses, we also show that the posterior distribution keeps its concentration properties when the data are only independent, hence not necessarily i.i.d., provided that most of their marginals are close enough to some probability distribution around which the prior puts enough mass. The posterior distribution is therefore also stable with respect to the equidistribution assumption. We illustrate these results by several applications. We consider the problems of estimating a location parameter or both the location and the scale of a density in a nonparametric framework. Finally, we also tackle the problem of estimating a density, with the squared Hellinger loss, in a high-dimensional parametric model under some sparcity conditions. The results established in this paper are non-asymptotic and provide, as much as possible, explicit constants. [less ▲]

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See detailNo more Piecemeal Tactics
Kafteranis, Dimitrios UL; Robert, Brochhaus

E-print/Working paper (2021)

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See detailHolonomic approximation through convex integration
Massot, Patrick; Theilliere, Mélanie UL

E-print/Working paper (2021)

Convex integration and the holonomic approximation theorem are two well-known pillars of flexibility in differential topology and geometry. They may each seem to have their own flavor and scope. The goal ... [more ▼]

Convex integration and the holonomic approximation theorem are two well-known pillars of flexibility in differential topology and geometry. They may each seem to have their own flavor and scope. The goal of this paper is to bring some new perspective on this topic. We explain how to prove the holonomic approximation theorem for first order jets using convex integration. More precisely we first prove that this theorem can easily be reduced to proving flexibility of some specific relation. Then we prove this relation is open and ample, hence its flexibility follows from off-the-shelf convex integration. [less ▲]

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See detailAssessing the role of polygenic background on the penetrance of monogenic forms in Parkinson\textquoterights disease. 2021.06.06.21253270
Hassanin, Emadeldin; May, Patrick UL; Aldisi, Rana et al

E-print/Working paper (2021)

Background: Several rare and common variants are associated with Parkinson's disease. However, there is still an incomplete penetrance in the carriers of rare variants associated with Parkinson's disease ... [more ▼]

Background: Several rare and common variants are associated with Parkinson's disease. However, there is still an incomplete penetrance in the carriers of rare variants associated with Parkinson's disease. To address this issue, we investigated whether a PRS calculated from significant GWAS SNPs affects the penetrance of Parkinson's disease among carriers of rare monogenic variants in known Parkinson's disease genes and those with a family history. Methods: We calculated the PRS based on common variants and selected the carriers of rare monogenic variants by using the exome data from UK Biobank. Individuals were divided into three risk categories based on PRS: low (<10%), intermediate (10%-90%), and high (>90%) risk groups. We then compared how PRS affects Parkinson\textquoterights disease risk among carriers of rare monogenic variants and those with family-history. Results: We observed a two-fold higher odds ratio for a carrier of a monogenic variant that had a high PRS (OR 4.07,95\% CI, 1.72-8.08) compared to carriers with a low PRS (OR 1.91, 95\% CI, 0.31-6.05). In the same line, carriers with a first-degree family history and with \>90\% PRS have even a higher risk of developing PD (OR 23.53, 95\%CI 5.39-71.54) compared to those with \<90\% PRS (OR 9.54, 95\% CI 3.32-21.65). Conclusions: Our results show that PRS, carrier status, and family history contribute independently and additively to the Parkinson's disease risk. [less ▲]

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See detailBreast and prostate cancer risk: the interplay of polygenic risk, high-impact monogenic variants, and family history 2021.06.04.21258277
Hassanin, Emadeldin; May, Patrick UL; Aldisi, Rana et al

E-print/Working paper (2021)

Purpose: Investigate to which extent polygenic risk scores (PRS), high-impact monogenic variants, and family history affect breast and prostate cancer risk by assessing cancer prevalence and cancer ... [more ▼]

Purpose: Investigate to which extent polygenic risk scores (PRS), high-impact monogenic variants, and family history affect breast and prostate cancer risk by assessing cancer prevalence and cancer cumulative lifetime incidence. Methods 200,643 individuals from the UK Biobank were stratified as follows: 1. carriers or non-carriers of high impact constitutive, monogenic variants in cancer susceptibility genes, 2. high or non-high PRS (90th percentile threshold), 3. with or without a family history of cancer. Multivariable logistic regression was used to compare the odds ratio (OR) across the different groups while Cox proportional hazards models were used to compute the cumulative incidence through life. Results Breast and prostate cancer cumulative incidence by age 70 is 7 and 5 for non-carriers with non-high PRS and reaches 37 and 32 among carriers of high-impact variants in cancer susceptibility genes with high PRS. The additional presence of family history is associated with a further increase of the risk of developing cancer reaching an OR of 14 and 21 for breast and prostate cancer, respectively. Conclusion: High PRS confers a cancer risk comparable to high-impact monogenic variants. Family history, monogenic variants, and PRS contribute additively to breast and prostate cancer risk. [less ▲]

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See detailInsider’s problem in the trinomial model: a discrete jump process point of view
Halconruy, Hélène UL

E-print/Working paper (2021)

In an incomplete market underpinned by the trinomial model, we consider two investors: an ordinary agent whose decisions are driven by public information and an insider who possesses from the beginning a ... [more ▼]

In an incomplete market underpinned by the trinomial model, we consider two investors: an ordinary agent whose decisions are driven by public information and an insider who possesses from the beginning a surplus of information encoded through a random variable for which he or she knows the outcome. Through the definition of an auxiliary model based on a marked binomial process, we handle the trinomial model as a volatility one, and use the stochastic analysis and Malliavin calculus toolboxes available in that context. In particular, we connect the information drift, i.e. the drift to eliminate in order to preserve the martingale property within an initial enlargement of filtration in terms of Malliavin’s derivative. We solve explicitly the agent and the insider expected logarithmic utility maximization problems and provide a Ocone-Karatzas type formula for replicable claims. We identify insider’s expected additional utility with the Shannon entropy of the extra information, and examine then the existence of arbitrage opportunities for the insider. [less ▲]

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See detailThe formal moment map geometry of the space of symplectic connections
La Fuente-Gravy, Laurent UL

E-print/Working paper (2021)

We deform the moment map picture on the space of symplectic connections on a symplectic manifold. To do that, we study a vector bundle of Fedosov star product algebras on the space of symplectic ... [more ▼]

We deform the moment map picture on the space of symplectic connections on a symplectic manifold. To do that, we study a vector bundle of Fedosov star product algebras on the space of symplectic connections. We describe a natural formal connection on this bundle adapted to the star product algebras on the fibers. We study its curvature and show the star product trace of the curvature is a formal symplectic form on the space of symplectic connections. The action of Hamiltonian diffeomorphisms on symplectic connections preserves the formal symplectic structure and we show the star product trace can be interpreted as a formal moment map for this action. Finally, we apply this picture to study automorphisms of star products and Hamiltonian diffeomorphisms. [less ▲]

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See detailThe good, the bad, and the asymmetric: Evidence from a new conditional density model
Kostyrka, Andreï UL; Malakhov, Dmitry

E-print/Working paper (2021)

We propose a novel univariate conditional density model and decompose asset returns into a sum of copula-connected unobserved ‘good’ and ‘bad’ shocks. The novelty of this approach comes from two factors ... [more ▼]

We propose a novel univariate conditional density model and decompose asset returns into a sum of copula-connected unobserved ‘good’ and ‘bad’ shocks. The novelty of this approach comes from two factors: we explicitly model correlation between unobserved shocks and allow for the presence of copula-connected discrete jumps. The proposed framework is very flexible and subsumes other models, such as ‘bad environments, good environments’. Our model shows certain hidden characteristics of returns, explains investors’ behaviour in greater detail, and yields better forecasts of risk measures. The in-sample and out-of-sample performance of our model is better than that of 40 popular GARCH variants. A Monte-Carlo simulation shows that the proposed model recovers the structural parameters of the unobserved dynamics. We estimate the model on S&P 500 data and find that time-dependent non-negative covariance between ‘good’ and ‘bad’ shocks with a leverage-like effect is an important component of total variance. Asymmetric reaction to shocks is present almost in all characteristics of returns. Conditional distribution of seems to be very time-dependent with skewness both in the centre and tails. We conclude that continuous shocks are more important than discrete jumps at least at daily frequency. [less ▲]

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See detailHeterozygous variants in KCNC2 cause a broad spectrum of epilepsy phenotypes associated with characteristic functional alterations 2021.05.21.21257099
Schwarz, Niklas; Seiffert, Simone; Pendziwiat, Manuela et al

E-print/Working paper (2021)

Background KCNC2 encodes a member of the shaw-related voltage-gated potassium channel family (KV3.2), which are important for sustained high-frequency firing and optimized energy efficiency of action ... [more ▼]

Background KCNC2 encodes a member of the shaw-related voltage-gated potassium channel family (KV3.2), which are important for sustained high-frequency firing and optimized energy efficiency of action potentials in the brain.Methods Individuals with KCNC2 variants detected by exome sequencing were selected for clinical, further genetic and functional analysis. The cases were referred through clinical and research collaborations in our study. Four de novo variants were examined electrophysiologically in Xenopus laevis oocytes.Results We identified novel KCNC2 variants in 27 patients with various forms of epilepsy. Functional analysis demonstrated gain-of-function in severe and loss-of-function in milder phenotypes as the underlying pathomechanisms with specific response to valproic acid.Conclusion These findings implicate KCNC2 as a novel causative gene for epilepsy emphasizing the critical role of KV3.2 in the regulation of brain excitability with an interesting genotype-phenotype correlation and a potential concept for precision medicine. [less ▲]

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See detailAggregated hold-out for sparse linear regression with a robust loss function
Maillard, Guillaume UL

E-print/Working paper (2021)

Sparse linear regression methods generally have a free hyperparameter which controls the amount of sparsity, and is subject to a bias-variance tradeoff. This article considers the use of Aggregated hold ... [more ▼]

Sparse linear regression methods generally have a free hyperparameter which controls the amount of sparsity, and is subject to a bias-variance tradeoff. This article considers the use of Aggregated hold-out to aggregate over values of this hyperparameter, in the context of linear regression with the Huber loss function. Aggregated hold-out (Agghoo) is a procedure which averages estimators selected by hold-out (cross-validation with a single split). In the theoretical part of the article, it is proved that Agghoo satisfies a non-asymptotic oracle inequality when it is applied to sparse estimators which are parametrized by their zero-norm. In particular, this includes a variant of the Lasso introduced by Zou, Hastié and Tibshirani \cite{Zou_Has_Tib:2007}. Simulations are used to compare Agghoo with cross-validation. They show that Agghoo performs better than CV when the intrinsic dimension is high and when there are confounders correlated with the predictive covariates. [less ▲]

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See detailEvaluation of TPMS Signal Propagation in a Heavy Commercial Vehicle Environement
Rida, Ahmad UL; Ridha, Soua; Engel, Thomas UL

E-print/Working paper (2021)

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See detailLoss of function variants in the KCNQ5 gene are associated with genetic generalized epilepsies
Krueger, Johanna; Schubert, Julian; Kegele, Josua et al

E-print/Working paper (2021)

Objective: De novo missense variants in KCNQ5, encoding the voltage gated K+ channel KV7.5, have been described as a cause of developmental and epileptic encephalopathy (DEE) or intellectual disability ... [more ▼]

Objective: De novo missense variants in KCNQ5, encoding the voltage gated K+ channel KV7.5, have been described as a cause of developmental and epileptic encephalopathy (DEE) or intellectual disability (ID). We set out to identify disease-related KCNQ5 variants in genetic generalized epilepsy (GGE) and their underlying mechanisms. Methods: 1292 families with GGE were studied by next-generation sequencing. Whole-cell patch-clamp recordings, biotinylation and phospholipid overlay assays were performed in mammalian cells combined with docking and homology modeling. Results: We identified three deleterious heterozygous missense variants, one truncation and one splice site alteration in five independent families with GGE with predominant absence seizures, two variants were also associated with mild to moderate ID. All three missense variants displayed a strongly decreased current density indicating a loss-of-function (LOF). When mutant channels were co-expressed with wild-type (WT) KV7.5 or KV7.5 and KV7.3 channels, three variants also revealed a significant dominant-negative effect on WT channels. Other gating parameters were unchanged. Biotinylation assays indicated a normal surface expression of the variants. The p.Arg359Cys variant altered PI(4,5)P2-interaction, presumably in the non-conducting preopen-closed state. Interpretation: Our study indicates that specific deleterious KCNQ5 variants are associated with GGE, partially combined with mild to moderate ID. The disease mechanism is a LOF partially with dominant-negative effects through functional, rather than trafficking deficits. LOF of KV7.5 channels will reduce the M-current, likely resulting in increased excitability of KV7.5-expressing neurons. Further studies on a network level are necessary to understand which circuits are affected and how the variants induce generalized seizures. [less ▲]

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See detailDisentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
Kacem, Anis UL; cherenkova, kseniya; Aouada, Djamila UL

E-print/Working paper (2021)

In this paper, we propose a new deep learning-based approach for disentangling face identity representations from expressive 3D faces. Given a 3D face, our approach not only extracts a disentangled ... [more ▼]

In this paper, we propose a new deep learning-based approach for disentangling face identity representations from expressive 3D faces. Given a 3D face, our approach not only extracts a disentangled identity representation but also generates a realistic 3D face with a neutral expression while predicting its identity. The proposed network consists of three components; (1) a Graph Convolutional Autoencoder (GCA) to encode the 3D faces into latent representations, (2) a Generative Adversarial Network (GAN) that translates the latent representations of expressive faces into those of neutral faces, (3) and an identity recognition sub-network taking advantage of the neutralized latent representations for 3D face recognition. The whole network is trained in an end-to-end manner. Experiments are conducted on three publicly available datasets showing the effectiveness of the proposed approach. [less ▲]

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See detailFace-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition
Papadopoulos, Konstantinos; Kacem, Anis UL; Shabayek, Abdelrahman et al

E-print/Working paper (2021)

Face identification/recognition has significantly advanced over the past years. However, most of the proposed approaches rely on static RGB frames and on neutral facial expressions. This has two ... [more ▼]

Face identification/recognition has significantly advanced over the past years. However, most of the proposed approaches rely on static RGB frames and on neutral facial expressions. This has two disadvantages. First, important facial shape cues are ignored. Second, facial deformations due to expressions can have an impact on the performance of such a method. In this paper, we propose a novel framework for dynamic 3D face identification/recognition based on facial keypoints. Each dynamic sequence of facial expressions is represented as a spatio-temporal graph, which is constructed using 3D facial landmarks. Each graph node contains local shape and texture features that are extracted from its neighborhood. For the classification/identification of faces, a Spatio-temporal Graph Convolutional Network (ST-GCN) is used. Finally, we evaluate our approach on a challenging dynamic 3D facial expression dataset. [less ▲]

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See detailUltra-rare constrained missense variants in the epilepsies: Shared and specific enrichment patterns in neuronal gene-sets 2021.04.18.440264
Koko, Mahmoud; Krause, Roland UL; Sander, Thomas et al

E-print/Working paper (2021)

Background: Burden analysis in epilepsy has shown an excess of deleterious ultra-rare variants (URVs) in few gene-sets, such as known epilepsy genes, constrained genes, ion channel or GABAA receptor genes ... [more ▼]

Background: Burden analysis in epilepsy has shown an excess of deleterious ultra-rare variants (URVs) in few gene-sets, such as known epilepsy genes, constrained genes, ion channel or GABAA receptor genes. We set out to investigate the burden of URVs in a comprehensive range of gene-sets presumed to be implicated in epileptogenesis. Methods: We investigated several constraint and conservation-based strategies to study whole exome sequencing data from European individuals with developmental and epileptic encephalopathies (DEE, n = 1,003), genetic generalized epilepsy (GGE, n = 3,064), and non-acquired focal epilepsy (NAFE, n = 3,522), collected by the Epi25 Collaborative, compared to 3,962 ancestry-matched controls. The burden of 12 URVs types in 92 gene-sets was compared between epilepsy cases (DDE, GGE, NAFE) and controls using logistic regression analysis. Results: Burden analysis of brain-expressed genes revealed an excess of different URVs types in all three epilepsy categories which was largest for constrained missense variants. The URVs burden was prominent in neuron-specific, synaptic and developmental genes as well as genes encoding ion channels and receptors, and it was generally higher for DEE and GGE compared to NAFE. The patterns of URVs burden in gene-sets expressed in inhibitory vs. excitatory neurons or receptors suggested a high burden in both in DEE but a differential involvement of inhibitory genes in GGE, while excitatory genes were predominantly affected in NAFE. Top ranking susceptibility genes from a recent genome-wide association study (GWAS) of generalized and focal epilepsies displayed a higher URVs burden in constrained coding regions in GGE and NAFE, respectively. Conclusions: Using exome-based gene-set burden analysis, we demonstrate that missense URVs affecting mainly constrained sites are enriched in neuronal genes in both common and rare severe epilepsy syndromes. Our results indicate a differential impact of these URVs in genes expressed in inhibitory vs. excitatory neurons and receptors in generalized vs. focal epilepsies. The excess of URVs in top-ranking GWAS risk-genes suggests a convergence of rare deleterious and common risk-variants in the pathogenesis of generalized and focal epilepsies. [less ▲]

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See detailLes langues dans les offres d'emploi au Luxembourg (1984-2019)
Pigeron-Piroth, Isabelle UL; Fehlen, Fernand UL

E-print/Working paper (2021)

À partir d’un échantillon d’offres d’emploi publiées dans le Luxemburger Wort, portant sur la période 1984-2019, cette étude décrit l’évolution des compétences linguistiques exigées ou souhaitées sur le ... [more ▼]

À partir d’un échantillon d’offres d’emploi publiées dans le Luxemburger Wort, portant sur la période 1984-2019, cette étude décrit l’évolution des compétences linguistiques exigées ou souhaitées sur le marché du travail du Luxembourg. Après une présentation contextuelle de la situation linguistique et de l’emploi au Luxembourg, l’analyse empirique des quelques 8 340 offres d’emploi de notre échantillon constitue le cœur de cette publication. Aux divers tableaux et graphiques illustrant notre propos s’ajoutent des décryptages de la sémantique utilisée dans les offres d’emploi publiées, utiles à la compréhension des besoins linguistiques dans un marché du travail plurilingue et international. [less ▲]

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See detailMalliavin calculus for marked binomial processes: portfolio optimisation in the trinomial model and compound Poisson approximation
Halconruy, Hélène UL

E-print/Working paper (2021)

In this paper we develop a stochastic analysis for marked binomial processes, that can be viewed as the discrete analogues of marked Poisson processes. The starting point is the statement of a chaotic ... [more ▼]

In this paper we develop a stochastic analysis for marked binomial processes, that can be viewed as the discrete analogues of marked Poisson processes. The starting point is the statement of a chaotic expansion for square-integrable (marked binomial) functionals, prior to the elaboration of a Markov-Malliavin structure within this framework. We take advantage of the new formalism to deal with two main applications. First, we revisit the Chen-Stein method for the (compound) Poisson approximation which we perform in the paradigm of the built Markov-Malliavin structure, before studying in the second one the problem of portfolio optimisation in the trinomial model. [less ▲]

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See detailGenotype-phenotype correlations in SCN8A-related disorders reveal prognostic and therapeutic implications
Johannesen, Katrine M.; Liu, Yuanyuan; Gjerulfsen, Cathrine E. et al

E-print/Working paper (2021)

We report detailed functional analyses and genotype-phenotype correlations in 433 individuals carrying disease-causing variants in SCN8A, encoding the voltage-gated Na+ channel NaV1.6. Five different ... [more ▼]

We report detailed functional analyses and genotype-phenotype correlations in 433 individuals carrying disease-causing variants in SCN8A, encoding the voltage-gated Na+ channel NaV1.6. Five different clinical subgroups could be identified: 1) Benign familial infantile epilepsy (BFIE) (n=17, normal cognition, treatable seizures), 2) intermediate epilepsy (n=36, mild ID, partially pharmacoresponsive), 3) developmental and epileptic encephalopathy (DEE, n=191, severe ID, majority pharmacoresistant), 4) generalized epilepsy (n=21, mild to moderate ID, frequently with absence seizures), and 5) affected individuals without epilepsy (n=25, mild to moderate ID). Groups 1-3 presented with early-onset (median: four months) focal or multifocal seizures and epileptic discharges, whereas the onset of seizures in group 4 was later (median: 39 months) with generalized epileptic discharges. The epilepsy was not classifiable in 143 individuals. We performed functional studies expressing missense variants in ND7/23 neuroblastoma cells and primary neuronal cultures using recombinant tetrodotoxin insensitive human NaV1.6 channels and whole-cell patch clamping. Two variants causing DEE showed a strong gain-of-function (GOF, hyperpolarising shift of steady-state activation, strongly increased neuronal firing rate), and one variant causing BFIE or intermediate epilepsy showed a mild GOF (defective fast inactivation, less increased firing). In contrast, all three variants causing generalized epilepsy induced a loss-of-function (LOF, reduced current amplitudes, depolarising shift of steady-state activation, reduced neuronal firing). Including previous studies, functional effects were known for 165 individuals. All 133 individuals carrying GOF variants had either focal (76, groups 1-3), or unclassifiable epilepsy (37), whereas 32 with LOF variants had either generalized (14), no (11) or unclassifiable (5) epilepsy; only two had DEE. Computational modeling in the GOF group revealed a significant correlation between the severity of the electrophysiological and clinical phenotypes. GOF variant carriers responded significantly better to sodium channel blockers (SCBs) than to other anti-seizure medications, and the same applied for all individuals of groups 1-3.In conclusion, our data reveal clear genotype-phenotype correlations between age at seizure onset, type of epilepsy and gain- or loss-of-function effects of SCN8A variants. Generalized epilepsy with absence seizures is the main epilepsy phenotype of LOF variant carriers and the extent of the electrophysiological dysfunction of the GOF variants is a main determinant of the severity of the clinical phenotype in focal epilepsies. Our pharmacological data indicate that SCBs present a therapeutic treatment option in early onset SCN8A-related focal epilepsy. [less ▲]

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See detailSustainable Finance Law: The EU Paradigm and the Way Forward
Alexandraki, Chrysa UL

E-print/Working paper (2021)

Detailed reference viewed: 61 (2 UL)
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See detailAdaptively Secure Laconic Function Evaluation for NC1
Agrawal, Shweta; Rosie, Razvan UL

E-print/Working paper (2021)

Detailed reference viewed: 146 (29 UL)
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See detailDigitalisierung von Schule und Digitalisierung im Unterricht
Harion, Dominic UL; Pause, Johannes UL

E-print/Working paper (2021)

Detailed reference viewed: 83 (7 UL)
See detailDemocratic Legitimacy of the Single Resolution Board: Is Legality the Right Question?
Mendes, Joana UL

E-print/Working paper (2021)

The choice to entrust EU banking resolution to an independent body opened the familiar democratic legitimacy conundrum that besets independent institutions in national and in EU law. This paper examines ... [more ▼]

The choice to entrust EU banking resolution to an independent body opened the familiar democratic legitimacy conundrum that besets independent institutions in national and in EU law. This paper examines both the conventional view on the relationship between legality control and democratic legitimacy, that the German Federal Constitutional Court endorsed in its SSM/SRM judgment, and the limits of such conception. Conceived as a “compensatory measure”, legal protection through judicial review and internal administrative review enables the Court to bring independent institutions within the (national) constitutional framework that they strain. Law’s binding character becomes a matter of ensuring not only the rule of law but also democracy. Yet, even detailed legal mandates cannot preclude administrative bodies to define the way law is completed and concretised. While the Court does not adhere to a ‘transmission-belt model’ of administrations, not surprisingly – as a court deciding on democratic legitimacy – it falls short of recognising that legality can do very little to ground the democratic legitimacy of fundamental political choices, such as those entrusted to the Single Resolution Board. [less ▲]

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See detailAssange’s Extradition: Status Pending
Kafteranis, Dimitrios UL; Andreadakis, Stelios

E-print/Working paper (2021)

Detailed reference viewed: 23 (1 UL)
See detailWhich Factors Play a Role in Coco Issuance? Evidence from European Banks.
Wolff, Christian UL

E-print/Working paper (2021)

This paper explores empirically the reasons why some banks issue Contingent Convertible Bonds while others do not. For this purpose we use a binary logistic model and control for the determinants ... [more ▼]

This paper explores empirically the reasons why some banks issue Contingent Convertible Bonds while others do not. For this purpose we use a binary logistic model and control for the determinants suggested by the literature on optimal capital structure which considers four drivers of capital structure: corporate taxes, costs of financial distress, agency costs and asymmetric information.. Our findings suggest that the banks with bigger size and those with higher Tier 1 capital, higher net loans, higher wholesale funding, lower level of leverage and lower risk weighted assets have a higher tendency to issue CoCos. Our results also suggest that banks in countries with higher annual growth rate of GDP per capita and those listed as G-SIBs are more likely to issue CoCos. [less ▲]

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See detailPanic? Probing Angst over Immigration and Crime
Mahe, Clotilde UL; Parra-Cely, Sergio

E-print/Working paper (2021)

We examine empirically whether immigration affects crime in an emerging country, Ecuador. We exploit the fact that immigration flows of Venezuelans suddenly evolved from voluntary to forced, and occurred ... [more ▼]

We examine empirically whether immigration affects crime in an emerging country, Ecuador. We exploit the fact that immigration flows of Venezuelans suddenly evolved from voluntary to forced, and occurred disproportionately along land borders. We use nationally representative administrative and survey data to precisely estimate an economically null effect of Venezuelan immigration on property and violent crime. We also show that natives are more likely to believe that immigration worsens the economy, despite clear evidence of negative labour market impact due to recent Venezuelan inflows. Results confirm that fears over immigration and crime are not necessarily supported by facts. [less ▲]

Detailed reference viewed: 136 (20 UL)
See detailAddressing Hate Speech with Data Science: An Overview from Computer Science Perspective
Lenzini, Gabriele UL; Srba; Pikuliak, Matus et al

E-print/Working paper (2021)

From a computer science perspective, addressing on-line hate speech is a challenging task that is attracting the attention of both industry (mainly social media platform owners) and academia. In this ... [more ▼]

From a computer science perspective, addressing on-line hate speech is a challenging task that is attracting the attention of both industry (mainly social media platform owners) and academia. In this chapter, we provide an overview of state-of-the-art data-science approaches - how they define hate speech, which tasks they solve to mitigate the phenomenon, and how they address these tasks. We limit our investigation mostly to (semi-)automatic detection of hate speech, which is the task that the majority of existing computer science works focus on. Finally, we summarize the challenges and the open problems in the current data-science research and the future directions in this field. Our aim is to prepare an easily understandable report, capable to promote the multidisciplinary character of hate speech research. Researchers from other domains (e.g., psychology and sociology) can thus take advantage of the knowledge achieved in the computer science domain but also contribute back and help improve how computer science is addressing that urgent an d socially relevant issue which is the prevalence of hate speech in social media. [less ▲]

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See detailLooking for the `Best and Brightest': Hiring difficulties and high-skilled foreign workers
Raux, Morgan UL

E-print/Working paper (2021)

This paper studies the complementarity between domestic and foreign skilled workers. It develops a simple model where employers seek to recruit a foreign worker when finding domestic workers takes more ... [more ▼]

This paper studies the complementarity between domestic and foreign skilled workers. It develops a simple model where employers seek to recruit a foreign worker when finding domestic workers takes more time. This paper confirms the predictions of the model. I rely on a within-firm within-occupation identification strategy to compare recruitment decisions made by a given employer for similar positions that differ in job posting duration. To identify this relationship, I have collected and assembled a new and original dataset at the job level. I match online job postings to administrative data on labor condition applications (LCAs) submitted as the first step in applying for H-1B temporary skilled worker visas. I find that employers are 28 percent more likely to submit an LCA when the job posting duration is one standard deviation longer. I provide evidence suggesting that this phenomenon is due to insufficient domestic labor supply in these occupations. [less ▲]

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See detailHierarchical a posteriori error estimation of Bank-Weiser type in the FEniCS Project
Bulle, Raphaël UL; Hale, Jack UL; Lozinski, Alexei et al

E-print/Working paper (2021)

In the seminal paper of Bank and Weiser [Math. Comp., 44 (1985), pp.283-301] a new a posteriori estimator was introduced. This estimator requires the solution of a local Neumann problem on every cell of ... [more ▼]

In the seminal paper of Bank and Weiser [Math. Comp., 44 (1985), pp.283-301] a new a posteriori estimator was introduced. This estimator requires the solution of a local Neumann problem on every cell of the finite element mesh. Despite the promise of Bank-Weiser type estimators, namely locality, computational efficiency, and asymptotic sharpness, they have seen little use in practical computational problems. The focus of this contribution is to describe a novel implementation of hierarchical estimators of the Bank-Weiser type in a modern high-level finite element software with automatic code generation capabilities. We show how to use the estimator to drive (goal-oriented) adaptive mesh refinement and to mixed approximations of the nearly-incompressible elasticity problems. We provide comparisons with various other used estimators. An open-source implementation based on the FEniCS Project finite element software is provided as supplementary material. [less ▲]

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See detailCloturing Deliberation
Anesi, Vincent UL; Safronov, Mikhail

E-print/Working paper (2021)

We study how the institutional arrangements for ending deliberation --- the "cloture rules" --- interact with collective learning to affect the outcomes of decision making in committees. In contrast to ... [more ▼]

We study how the institutional arrangements for ending deliberation --- the "cloture rules" --- interact with collective learning to affect the outcomes of decision making in committees. In contrast to much of the previous literature on deliberative commit tees, this paper makes a distinction between the final votes over policy proposals and the cloture votes that bring them about. Using this approach, we explore how cloture rules influence the course of deliberation, the likelihood of inefficient deliberative outcomes, the circumstances surrounding failures to bring proposals to a final vote, and the distribution of power among committee members in the deliberative process. We also use our simple model to examine the issue of the stability of cloture rules, characterizing the rules that no coalition of committee members is able or willing to overturn. We show in particular that all cloture rules are dynamically stable. [less ▲]

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See detailIntroducing the COVID-19 crisis Special Education Needs Coping Survey
Dukes, Daniel; Van Herwegen, Jo; Alessandri, Michael et al

E-print/Working paper (2021)

Individuals with special education needs have been particularly affected by the COVID-19 pandemic as they have been shown to be at high risk of losing medical and institutional support at a time when ... [more ▼]

Individuals with special education needs have been particularly affected by the COVID-19 pandemic as they have been shown to be at high risk of losing medical and institutional support at a time when people are being asked to stay isolated, suffering increased anxiety and depression as a consequence. Their families have often found themselves under tremendous pressure to provide support, engendering financial hardship, and physical and emotional strains. In such times, it is vital that international collaborations assess the impact on the individuals and their families, affording the opportunity to make national and international comparisons of how people have coped and what needs to be done to optimize the measures taken by families, associations and governments. This paper introduces one such collaboration. [less ▲]

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See detailCultural differences and immigrants' wages
Raux, Morgan UL

E-print/Working paper (2021)

In this paper, I investigate how cultural differences affect the labor-market performance of immigrant workers in Germany. I document a negative relationship between hourly wages and the cultural distance ... [more ▼]

In this paper, I investigate how cultural differences affect the labor-market performance of immigrant workers in Germany. I document a negative relationship between hourly wages and the cultural distance between immigrants' countries of origin and Germany. This result is robust across the three main indicators used in the gravity literature: linguistic, religious, and genetic distances. This cultural wage penalty disappears after five to ten years spent in Germany. Controlling for language proficiency as well as for selective in- and out-migration, these results highlight the cultural integration of immigrant workers. I finally provide evidence suggesting that lower wage progression may be explained by fewer job-to-job transitions. [less ▲]

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See detailA Robustness Check to Multiple Overlapping Deprivation Analysis (MODA) Methodology: The Case of Nigeria
Fagbeja, Teju; Cebotari, Victor UL

E-print/Working paper (2021)

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See detailSchool-Related Violence in Latin America and the Caribbean: Building an Evidence Base for Stronger Schools
Chávez, Cirenia; Cebotari, Victor UL; José Benítez, Maria et al

E-print/Working paper (2021)

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See detailhttps://arxiv.org/abs/2101.07083
El Emam, Christian UL; Seppi, Andrea

E-print/Working paper (2021)

We prove that any minimal Lagrangian diffeomorphism between two closed spherical surfaces with cone singularities is an isometry, without any assumption on the multiangles of the two surfaces. As an ... [more ▼]

We prove that any minimal Lagrangian diffeomorphism between two closed spherical surfaces with cone singularities is an isometry, without any assumption on the multiangles of the two surfaces. As an application, we show that every branched immersion of a closed surface of constant positive Gaussian curvature in Euclidean three-space is a branched covering onto a round sphere, thus generalizing the classical rigidity theorem of Liebmann to branched immersions. [less ▲]

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See detailPestepidemien in Luxemburg
Pauly, Michel UL

E-print/Working paper (2021)

Detailed reference viewed: 78 (0 UL)
See detailThe Value of Coordination in Multimarket Bidding of Grid Energy Storage
Löhndorf, Nils UL

E-print/Working paper (2021)

Detailed reference viewed: 104 (22 UL)
See detailOn the Weyl problem for complete surfaces in the hyperbolic and anti-de Sitter spaces
Schlenker, Jean-Marc UL

E-print/Working paper (2021)

The classical Weyl problem (solved by Lewy, Alexandrov, Pogorelov, and others) asks whether any metric of curvature K≥0 on the sphere is induced on the boundary of a unique convex body in $\R^3$. The ... [more ▼]

The classical Weyl problem (solved by Lewy, Alexandrov, Pogorelov, and others) asks whether any metric of curvature K≥0 on the sphere is induced on the boundary of a unique convex body in $\R^3$. The answer was extended to surfaces in hyperbolic space by Alexandrov in the 1950s, and a ``dual'' statement, describing convex bodies in terms of the third fundamental form of their boundary (e.g. their dihedral angles, for an ideal polyhedron) was later proved. We describe three conjectural generalizations of the Weyl problem in $\HH^3$ and its dual to unbounded convex subsets and convex surfaces, in ways that are relevant to contemporary geometry since a number of recent results and well-known open problems can be considered as special cases. One focus is on convex domain having a ``thin'' asymptotic boundary, for instance a quasicircle -- this part of the problem is strongly related to the theory of Kleinian groups. A second direction is towards convex subsets with a ``thick'' ideal boundary, for instance a disjoint union of disks -- here one find connections to problems in complex analysis, such as the Koebe circle domain conjecture. A third direction is towards complete, convex disks of infinite area in $\HH^3$ and surfaces in hyperbolic ends -- with connections to questions on circle packings or grafting on the hyperbolic disk. Similar statements are proposed in anti-de Sitter geometry, a Lorentzian cousin of hyperbolic geometry where interesting new phenomena can occur, and in Minkowski and Half-pipe geometry. We also collect some partial new results mostly based on recent works. [less ▲]

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See detailDimension-free Harnack inequalities for conjugate heat equations and their applications to geometric flows
Cheng, Li-Juan; Thalmaier, Anton UL

E-print/Working paper (2021)

Let M be a differentiable manifold endowed with a family of complete Riemannian metrics g(t) evolving under a geometric flow over the time interval [0,T[. In this article, we give a probabilistic ... [more ▼]

Let M be a differentiable manifold endowed with a family of complete Riemannian metrics g(t) evolving under a geometric flow over the time interval [0,T[. In this article, we give a probabilistic representation for the derivative of the corresponding conjugate semigroup on M which is generated by a Schrödinger type operator. With the help of this derivative formula, we derive fundamental Harnack type inequalities in the setting of evolving Riemannian manifolds. In particular, we establish a dimension-free Harnack inequality and show how it can be used to achieve heat kernel upper bounds in the setting of moving metrics. Moreover, by means of the supercontractivity of the conjugate semigroup, we obtain a family of canonical log-Sobolev inequalities. We discuss and apply these results both in the case of the so-called modified Ricci flow and in the case of general geometric flows. [less ▲]

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See detailOptimal convergence rates for the invariant density estimation of jump-diffusion processes
Amorino, Chiara UL; Nualart, Eulalia

E-print/Working paper (2021)

We aim at estimating the invariant density associated to a stochastic differential equation with jumps in low dimension, which is for d = 1 and d = 2. We consider a class of jump diffusion processes whose ... [more ▼]

We aim at estimating the invariant density associated to a stochastic differential equation with jumps in low dimension, which is for d = 1 and d = 2. We consider a class of jump diffusion processes whose invariant density belongs to some Hölder space. Firstly, in dimension one, we show that the kernel density estimator achieves the convergence rate 1/T, which is the optimal rate in the absence of jumps. This improves the convergence rate obtained in [Amorino, Gloter (2021)], which depends on the Blumenthal-Getoor index for d = 1 and is equal to log T/T for d = 2. Secondly, we show that is not possible to find an estimator with faster rates of estimation. Indeed, we get some lower bounds with the same rates { 1/T , log T/T } in the mono and bi-dimensional cases, respectively. Finally, we obtain the asymptotic normality of the estimator in the one-dimensional case. [less ▲]

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See detailEuropean Border Region Studies in Times of Borderization
Wille, Christian UL

E-print/Working paper (2021)

The text originates from a time of borderization, at global level and at the EU’s internal borders. At the latest since covidfencing began in the spring of 2020, many Europeans have become familiar with ... [more ▼]

The text originates from a time of borderization, at global level and at the EU’s internal borders. At the latest since covidfencing began in the spring of 2020, many Europeans have become familiar with border experiences and the practices of civic contestation of borders. With that in mind, the text argues that it is necessary to open European border region studies to the contestation of borders, for which it should enter into dialogue with international (and critical) border studies. [less ▲]

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See detailPost-Quantum Secure LFE for L/poly with Smaller Parameters
Naccache, David; Rosie, Razvan UL; Spignoli, Lorenzo UL

E-print/Working paper (2021)

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See detailConstitutional engineering of State of exception regimes within the European Union
Gerkrath, Jörg UL

E-print/Working paper (2021)

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See detailA powerful global test for spliceQTL effects
de Menezes, Renee X.; Rauschenberger, Armin UL; ’t Hoen, Peter A. C. et al

E-print/Working paper (2021)

Statistical methods to test for effects of SNPs on exon inclusion exist, but often rely on testing of associations between multiple exon-SNP pairs, with sometimes subsequent summarization of results at ... [more ▼]

Statistical methods to test for effects of SNPs on exon inclusion exist, but often rely on testing of associations between multiple exon-SNP pairs, with sometimes subsequent summarization of results at the gene level. Such approaches require heavy multiple testing correction, and detect mostly events with large effect sizes. We propose here a test to find spliceQTL effects which takes all exons and all SNPs into account simultaneously. For any chosen gene, this score-based test looks for association between the set of exon expressions and the set of SNPs, via a random-effects model framework. It is efficient to compute, and can be used if the number of SNPs is larger than the number of samples. In addition, the test is powerful to detect effects that are relatively small for individual exon-SNP pairs, but are observed for many pairs. Furthermore, test results are more often replicated across datasets than pairwise testing results. This partly our test is more robust to exon-SNP pair-specific effects, but do not extend to multiple pairs within the same gene. We conclude that the test we propose here offers more power and better replicability in the search for spliceQTL effects. [less ▲]

Detailed reference viewed: 42 (2 UL)
See detailThe Weyl problem for unbounded convex domains in $\HH^3$
Schlenker, Jean-Marc UL

E-print/Working paper (2021)

Let $K\subset \HH^3$ be a convex subset in $\HH^3$ with smooth, strictly convex boundary. The induced metric on $\partial K$ then has curvature $K>-1$. It was proved by Alexandrov that if $K$ is bounded ... [more ▼]

Let $K\subset \HH^3$ be a convex subset in $\HH^3$ with smooth, strictly convex boundary. The induced metric on $\partial K$ then has curvature $K>-1$. It was proved by Alexandrov that if $K$ is bounded, then it is uniquely determined by the induced metric on the boundary, and any smooth metric with curvature $K>-1$ can be obtained. We propose here an extension of the existence part of this result to unbounded convex domains in $\HH^3$. The induced metric on $\partial K$ is then clearly not sufficient to determine $K$. However one can consider a richer data on the boundary including the ideal boundary of $K$. Specifically, we consider the data composed of the conformal structure on the boundary of $K$ in the Poincar\'e model of $\HH^3$, together with the induced metric on $\partial K$. We show that a wide range of "reasonable" data of this type, satisfying mild curvature conditions, can be realized on the boundary of a convex subset in $\HH^3$. We do not consider here the uniqueness of a convex subset with given boundary data. [less ▲]

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See detailMachine learning in the social and health sciences
Leist, Anja UL; Klee, Matthias UL; Kim, Jung Hyun UL et al

E-print/Working paper (2021)

The uptake of machine learning (ML) approaches in the social and health sciences has been rather slow, and research using ML for social and health research questions remains fragmented. This may be due to ... [more ▼]

The uptake of machine learning (ML) approaches in the social and health sciences has been rather slow, and research using ML for social and health research questions remains fragmented. This may be due to the separate development of research in the computational/data versus social and health sciences as well as a lack of accessible overviews and adequate training in ML techniques for non data science researchers. This paper provides a meta-mapping of research questions in the social and health sciences to appropriate ML approaches, by incorporating the necessary requirements to statistical analysis in these disciplines. We map the established classification into description, prediction, and causal inference to common research goals, such as estimating prevalence of adverse health or social outcomes, predicting the risk of an event, and identifying risk factors or causes of adverse outcomes. This meta-mapping aims at overcoming disciplinary barriers and starting a fluid dialogue between researchers from the social and health sciences and methodologically trained researchers. Such mapping may also help to fully exploit the benefits of ML while considering domain-specific aspects relevant to the social and health sciences, and hopefully contribute to the acceleration of the uptake of ML applications to advance both basic and applied social and health sciences research. [less ▲]

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See detailThe role of score and information bias in panel data likelihoods
Schumann, Martin; Severini, Thomas A.; Tripathi, Gautam UL

E-print/Working paper (2021)

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See detailNonparametric needlet estimation for partial derivatives of a probability density function on the d-torus
Durastanti, Claudio; Turchi, Nicola UL

E-print/Working paper (2021)

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See detailAdversarial Robustness in Multi-Task Learning: Promises and Illusions
Ghamizi, Salah UL; Cordy, Maxime UL; Papadakis, Mike UL et al

E-print/Working paper (2021)

Vulnerability to adversarial attacks is a well-known weakness of Deep Neural networks. While most of the studies focus on single-task neural networks with computer vision datasets, very little research ... [more ▼]

Vulnerability to adversarial attacks is a well-known weakness of Deep Neural networks. While most of the studies focus on single-task neural networks with computer vision datasets, very little research has considered complex multi-task models that are common in real applications. In this paper, we evaluate the design choices that impact the robustness of multi-task deep learning networks. We provide evidence that blindly adding auxiliary tasks, or weighing the tasks provides a false sense of robustness. Thereby, we tone down the claim made by previous research and study the different factors which may affect robustness. In particular, we show that the choice of the task to incorporate in the loss function are important factors that can be leveraged to yield more robust models. [less ▲]

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See detailParental Assortative Mating and the Intergenerational Transmission of Human Capital
Bingley, Paul; Cappellari, Lorenzo; Tatsiramos, Konstantinos UL

E-print/Working paper (2021)

We study the contribution of parental similarity in schooling levels to the intergenerational transmission of educational attainment. We develop an empirical model for educational correlations within the ... [more ▼]

We study the contribution of parental similarity in schooling levels to the intergenerational transmission of educational attainment. We develop an empirical model for educational correlations within the family in which parental sorting can translate into intergenerational transmission, or transmission can originate from each parent independently. Estimating the model using educational attainment from Danish population-based administrative data for over 400,000 families, we find that about 75 percent of the intergenerational correlation in education is driven by the joint contribution of the parents. We also document a sizeable secular decline of parental assortative mating in education, with a corresponding fall in joint intergenerational transmission from both parents; a fall compensated by an increase in parent-specific intergenerational transmission, leaving total intergenerational persistence unchanged. The mechanisms of intergenerational transmission have changed, with an increased importance of one-to-one parent-child relationships. [less ▲]

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See detailPhase transitions and noise sensitivity on the Poisson space via stopping sets and decision trees
Last, Guenter; Peccati, Giovanni UL; Yogeshwaran, Dhandapani

E-print/Working paper (2021)

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See detailCoWWAn: Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis
Proverbio, Daniele UL; Kemp, Francoise UL; Magni, Stefano UL et al

E-print/Working paper (2021)

We present COVID-19 Wastewater Analyser (CoWWAn) to reconstruct the epidemic dynamics from SARS-CoV-2 viral load in wastewater. As demonstrated for various regions and sampling protocols, this mechanistic ... [more ▼]

We present COVID-19 Wastewater Analyser (CoWWAn) to reconstruct the epidemic dynamics from SARS-CoV-2 viral load in wastewater. As demonstrated for various regions and sampling protocols, this mechanistic model-based approach quantifies the case numbers, provides epidemic indicators and accurately infers future epidemic trends. In situations of reduced testing capacity, analysing wastewater data with CoWWAn is a robust and cost-effective alternative for real-time surveillance of local COVID-19 dynamics. [less ▲]

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See detailCentral limit theorem for a birth-growth model with Poisson arrivals and random growth speed.
Bhattacharjee, Chinmoy UL; Molchanov, Ilya; Turin, Riccardo

E-print/Working paper (2021)

Detailed reference viewed: 28 (0 UL)
See detailOptical properties of topological flat and dispersive bands
Habibi, Alireza UL; Musthofa, Ahmad Z.; Adibi, Elaheh et al

E-print/Working paper (2021)

We study the optical properties of topological flat and dispersive bands. Due to their topological nature, there exists an anomalous Hall response which gives rise to a transverse current without applied ... [more ▼]

We study the optical properties of topological flat and dispersive bands. Due to their topological nature, there exists an anomalous Hall response which gives rise to a transverse current without applied magnetic field. The dynamical Hall conductivity of systems with flat bands exhibits a sign change when the excitation energy is on resonance with the band gap, similar to the magnetotransport Hall conductivity profile. The sign change of the Hall conductivity is located at the frequency corresponding to the singularity of the joint density of states, i.e., the van Hove singularity (VHS). For perfectly flat bands, this VHS energy matches the band gap. On the other hand, in the case of dispersive bands, the VHS energy is located above the band gap. As a result, the two features of the Hall conductivity, i.e., the resonant feature at the band gap and the sign change at the VHS energy, become separated. This anomalous Hall response rotates the polarization of an electric field and can be detected in the reflected and transmitted waves, as Kerr and Faraday rotations, respectively, thus allowing a simple optical characterization of topological flat bands. [less ▲]

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Peer Reviewed
See detailGaussian fluctuation for Gaussian Wishart matrices of overall correlation
Nourdin, Ivan UL; Pu, Fei

E-print/Working paper (2021)

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See detailRapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Roth, Holger; Xu, Ziyue; Diez, Carlos Tor et al

E-print/Working paper (2021)

Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of ... [more ▼]

Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of the disease. We organized an international challenge and competition for the development and comparison of AI algorithms for this task, which we supported with public data and state-of-the-art benchmark methods. Board Certified Radiologists annotated 295 public images from two sources (A and B) for algorithms training (n=199, source A), validation (n=50, source A) and testing (n=23, source A; n=23, source B). There were 1,096 registered teams of which 225 and 98 completed the validation and testing phases, respectively. The challenge showed that AI models could be rapidly designed by diverse teams with the potential to measure disease or facilitate timely and patient-specific interventions. This paper provides an overview and the major outcomes of the COVID-19 Lung CT Lesion Segmentation Challenge - 2020. [less ▲]

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See detailRobust Estimation in Finite Mixture Models
Lecestre, Alexandre UL

E-print/Working paper (2021)

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See detailGenetic Diversity and Performance: Evidence From Football Data
Zanaj, Skerdilajda UL; Beine, Michel UL; Peracchi, Silvia UL

E-print/Working paper (2021)

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See detailPost-quantum Efficient Proof for Graph 3-Coloring Problem
Ebrahimi, Ehsan UL

E-print/Working paper (2021)

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See detailDiversity, National Identity, and Political Participation among Young People in Luxembourg
Procopio, Alessandro UL; Schomaker, Léa UL; Samuel, Robin UL

E-print/Working paper (2021)

Luxembourg is known for its cultural and national diversity. Approximately 48 of the population is foreigners live in Luxembourg. For 15-29-year-olds, this share was approximately 42 in 2019 and 2020 ... [more ▼]

Luxembourg is known for its cultural and national diversity. Approximately 48 of the population is foreigners live in Luxembourg. For 15-29-year-olds, this share was approximately 42 in 2019 and 2020. Furthermore, approximately 185,000 foreign workers commute to Luxembourg daily. Considering this, Luxembourg is an interesting case for investigating national identity and political participation of a diverse society (STATEC 2020a, STATEC 2020b, STATEC 2021). Especially, as the biographies of young people in Luxembourg are becoming increasingly complex (e.g., mixed national parents; highly skilled expatriates), it is worth looking into different aspects and valuations of national identity and political participation of youth in Luxembourg (Amtépé and Hartmann-Hirsch, 2011). In this policy report, we look into the aspects of national identity and how young people living in Luxembourg define a ‘real Luxembourger’ using the Youth Survey Luxembourg (2019) data (Sozio et al., 2020). This will give us the opportunity to investigate what aspects of identity (e.g. Luxembourgish ancestry; the time spent living in Luxembourg) matter for young people to feel part of Luxembourgish society and how these change across different social backgrounds and demographics. The discourse about the interrelations of political participation and youth brings forward the dominant narrative of a disengaging and passive youth. Here, we also investigate these statements in the Luxembourgish context. We analyse the level of interest in politics across young people in Luxembourg and their means of political participation. Finally, we especially investigated the relationship between aspects of national identity, and political interest and engagement of young people in Luxembourg. [less ▲]

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See detailProjected Inventory Level Policies for Lost Sales Inventory Systems: Asymptotic Optimality in Two Regimes
van Jaarsveld, Willem; Arts, Joachim UL

E-print/Working paper (2021)

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See detailPost-quantum Security of Plain OAEP Transform
Ebrahimi, Ehsan UL

E-print/Working paper (2021)

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See detailIndeterminacies and models of homotopy limits
Govzmann, Alisa UL; Pistalo, Damjan UL; Poncin, Norbert UL

E-print/Working paper (2021)

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See detailInternationalisation (at Home) of the Non-Mobile Youth in Europe outside formal Education
Nienaber, Birte UL; Díaz-Catalán, Celia; Kmiotek, Emilia Alicja UL et al

E-print/Working paper (2021)

Mobility is often mentioned as one main aspect of “internationalisation”. However, little is known about the internationalisation at home of non-mobile young people outside formal higher education. In the ... [more ▼]

Mobility is often mentioned as one main aspect of “internationalisation”. However, little is known about the internationalisation at home of non-mobile young people outside formal higher education. In the post- COVID19- era, mobility might remain limited and immobility becomes the rule. Therefore, internationalisation at home plays an important role in times of restricted mobility. To what extent are non-mobile people internationalised? Which factors favour this internationalisation amongst the non-mobiles? We develop a comprehensive index which empirically tests whether and to what extent non-mobiles, become internationalised at home. The answers of 3431 non-mobiles respondents be-tween 18 and 29 years old from six EU countries are analysed. First, we review the concept “internationalisation at home”. We present an empirical measure of internationalisation at home consisting of three dimensions 1) foreign language skills i.e. Eng-lish; 2) multicultural way of living; 3) information about foreign countries. Linear regression models are used to empirically explain which factors influence the internationalisation at home of the non-mobiles on the individual level, using their socio-demographic and social embed-dedness, as well as controlling for the country level. [less ▲]

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See detailOn generalized Iwasawa main conjectures and p-adic Stark conjectures for Artin motives
Maksoud, Alexandre UL

E-print/Working paper (2021)

We continue the study of Selmer groups associated with an Artin representation endowed with a p-stabilization which was initiated in arXiv:1811.05368. We formulate a main conjecture and an extra zeros ... [more ▼]

We continue the study of Selmer groups associated with an Artin representation endowed with a p-stabilization which was initiated in arXiv:1811.05368. We formulate a main conjecture and an extra zeros conjecture at all unramified odd primes p, which are shown to imply the p-part of the Tamagawa number conjecture for Artin motives at s=0. We also relate our new conjectures with various cyclotomic Iwasawa main conjectures and p-adic Stark conjectures that appear in the literature. In particular, they provide a natural interpretation for recent conjectures on p-adic L-functions attached to (the adjoint of) a weight one modular form. In the case of monomial representations, we prove that our conjectures are essentially equivalent to some newly introduced Iwasawa-theoretic conjectures for Rubin-Stark elements. [less ▲]

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See detailInnovation in Malmö after the Öresund Bridge
Ejermo, Olof; Hussinger, Katrin UL; Kalash, Basheer et al

E-print/Working paper (2021)

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See detailExplaining Defect Detection with Saliency Maps
Lorentz, Joe UL; Hartmann, Thomas; Moawad, Assaad et al

E-print/Working paper (2021)

The rising quality and throughput demands of the manufacturing domain require flexible, accurate and explainable computer-vision solutions for defect detection. Deep Neural Networks (DNNs) reach state-of ... [more ▼]

The rising quality and throughput demands of the manufacturing domain require flexible, accurate and explainable computer-vision solutions for defect detection. Deep Neural Networks (DNNs) reach state-of-the-art performance on various computer-vision tasks but wide-spread application in the industrial domain is blocked by the lacking explainability of DNN decisions. A promising, human-readable solution is given by saliency maps, heatmaps highlighting the image areas that influence the classifier’s decision. This work evaluates a selection of saliency methods in the area of industrial quality assurance. To this end we propose the distance pointing game, a new metric to quantify the meaningfulness of saliency maps for defect detection. We provide steps to prepare a publicly available dataset on defective steel plates for the proposed metric. Additionally, the computational complexity is investigated to determine which methods could be integrated on industrial edge devices. Our results show that DeepLift, GradCAM and GradCAM++ outperform the alternatives while the computational cost is feasible for real time applications even on edge devices. This indicates that the respective methods could be used as an additional, autonomous post-classification step to explain decisions taken by intelligent quality assurance systems. [less ▲]

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See detailHow Many Replicators Does It Take to Achieve Reliability? Investigating Researcher Variability in a Crowdsourced Replication
Breznau, Nate; Rinke, Eike Mark; Wuttke, Alexander et al

E-print/Working paper (2021)

The paper reports findings from a crowdsourced replication. Eighty-four replicator teams attempted to verify results reported in an original study by running the same models with the same data. The ... [more ▼]

The paper reports findings from a crowdsourced replication. Eighty-four replicator teams attempted to verify results reported in an original study by running the same models with the same data. The replication involved an experimental condition. A “transparent” group received the original study and code, and an “opaque” group received the same underlying study but with only a methods section and description of the regression coefficients without size or significance, and no code. The transparent group mostly verified the original study (95.5%), while the opaque group had less success (89.4%). Qualitative investigation of the replicators’ workflows reveals many causes of non-verification. Two categories of these causes are hypothesized, routine and non-routine. After correcting non-routine errors in the research process to ensure that the results reflect a level of quality that should be present in ‘real-world’ research, the rate of verification was 96.1 in the transparent group and 92.4 in the opaque group. Two conclusions follow: (1) Although high, the verification rate suggests that it would take a minimum of three replicators per study to achieve replication reliability of at least 95 confidence assuming ecological validity in this controlled setting, and (2) like any type of scientific research, replication is prone to errors that derive from routine and undeliberate actions in the research process. The latter suggests that idiosyncratic researcher variability might provide a key to understanding part of the “reliability crisis” in social and behavioral science and is a reminder of the importance of transparent and well documented workflows. [less ▲]

Detailed reference viewed: 54 (3 UL)