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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 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)

Detailed reference viewed: 542 (39 UL)
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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 detailDer Arbeitsmarkt der Sozialen Arbeit 2020 = Le marché de l'emploi du secteur social en 2020
Böwen, Petra UL; Flammang, Manou Laure UL

E-print/Working paper (2022)

Dieser Newsletter beschreibt den Arbeitsmarkt der Sozialen Arbeit in Luxemburg 2020 und die Entwicklung der Zahlen in einigen Bereichen für 2018 bis 2020. Die Daten stammen von einem fortlaufenden ... [more ▼]

Dieser Newsletter beschreibt den Arbeitsmarkt der Sozialen Arbeit in Luxemburg 2020 und die Entwicklung der Zahlen in einigen Bereichen für 2018 bis 2020. Die Daten stammen von einem fortlaufenden Forschungsprojekt des PraxisBüros der Universität Luxemburg. Der Newsletter stellt eine Auswahl an Statistiken dar, z.B. bezüglich der meist gefragten Qualifikationsniveaus, der Verteilung der Praxisfelder, der Verteilung der Stellenangebote zwischen öffentlichen, kommunalen, gemeinnützigen und privaten Trägern und der erfassten enormen Diskrepanz zwischen Nachfrage und Angebot an qualifizierten Professionellen in der Sozialen Arbeit. Desweiteren werden Entwicklungstrends- vor allem zu Thema Aus- und Weiterbildung aufgezeigt. [less ▲]

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See detailOn Leopoldt's and Gross's defects for Artin representations
Maksoud, Alexandre UL

E-print/Working paper (2022)

We generalize Waldschmidt's bound for Leopoldt's defect and prove a similar bound for Gross's defect for an arbitrary extension of number fields. As an application, we prove new cases of the generalized ... [more ▼]

We generalize Waldschmidt's bound for Leopoldt's defect and prove a similar bound for Gross's defect for an arbitrary extension of number fields. As an application, we prove new cases of the generalized Gross conjecture (also known as the Gross-Kuz'min conjecture) beyond the classical abelian case, and we show that Gross's p-adic regulator has at least half of the conjectured rank. We also describe and compute non-cyclotomic analogues of Gross's defect. [less ▲]

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See detailbinny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets 2021.12.22.473795
Hickl, Oskar UL; Teixeira Queiros, Pedro UL; Wilmes, Paul UL et al

E-print/Working paper (2021)

The reconstruction of genomes is a critical step in genome-resolved metagenomics as well as for multi-omic data integration from microbial communities. Here, we present binny, a binning tool that produces ... [more ▼]

The reconstruction of genomes is a critical step in genome-resolved metagenomics as well as for multi-omic data integration from microbial communities. Here, we present binny, a binning tool that produces high-quality metagenome-assembled genomes from both contiguous and highly fragmented genomes. Based on established metrics, binny outperforms existing state-of-the-art binning methods and finds unique genomes that could not be detected by other methods.binny uses k-mer-composition and coverage by metagenomic reads for iterative, non-linear dimension reduction of genomic signatures as well as subsequent automated contig clustering with cluster assessment using lineage-specific marker gene sets.When compared to five widely used binning algorithms, binny recovers the most near-complete (\>95 pure, \>90 complete) and high-quality (\>90 pure, \>70 complete) genomes from simulated data sets from the Critical Assessment of Metagenome Interpretation (CAMI) initiative, as well as from a real-world benchmark comprised of metagenomes from various environments. binny is implemented as Snakemake workflow and available from https://github.com/a-h-b/binny.Competing Interest StatementThe authors have declared no competing interest. [less ▲]

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See detailZwischen Denkmalschutz und kanonischem Recht. Die Debatte über die Umnutzung entweihter Kirchen
Pauly, Michel UL

E-print/Working paper (2021)

Beim Denkmalschutz von Kirchen wird das Mobiliar in den Kirchen, vom Gestühl bis zum liturgischen Gerät, leider nicht mitgeschützt. Ein ausführlichres Inventar und eine Vereinfachung der Rechtspraxis ... [more ▼]

Beim Denkmalschutz von Kirchen wird das Mobiliar in den Kirchen, vom Gestühl bis zum liturgischen Gerät, leider nicht mitgeschützt. Ein ausführlichres Inventar und eine Vereinfachung der Rechtspraxis drängen sich auf. [less ▲]

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See detailThe precautionary principle and the authorisation of Covid-19 vaccines under EU
Donati, Alessandra UL

E-print/Working paper (2021)

The decision of the EU Commission, based on positive advice from the European Medicines Agency, to grant conditional marketing authorisation to Covid-19 vaccines should be qualified as a precautionary ... [more ▼]

The decision of the EU Commission, based on positive advice from the European Medicines Agency, to grant conditional marketing authorisation to Covid-19 vaccines should be qualified as a precautionary measure. Under the established case law of the CJEU, the conditions for the application of this principle are met. Such conditions are the existence of a risk to the environment and public health and uncertainty. Given this qualification as a precautionary measure, whether the Commission had complied with the procedural obligations that surround the implementation of this principle under EU law was assessed. Some shortcomings are identified concerning the risk assessment conducted by the European Medicines Agency and the risk management carried out by the Commission. [less ▲]

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See detailEntre force et diplomatie spatiale : le missile russe Nudol s'invite à la table des négociations
Zarkan, Laetitia UL; Degrange, Valentin; Peter, Hugo

E-print/Working paper (2021)

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See detailHow inquiring develops and affects well-being throughout childhood
Vrolijk, Marloes; Cebotari, Victor UL; Richardson, Dominic et al

E-print/Working paper (2021)

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See detailQuantum Skyrmion Lattices in Heisenberg Ferromagnets
Haller, Andreas UL; Groenendijk, Solofo; Habibi, Alireza et al

E-print/Working paper (2021)

Skyrmions are topological magnetic textures which can arise in non-centrosymmetric ferromagnetic materials. In most systems experimentally investigated to date, skyrmions emerge as classical objects ... [more ▼]

Skyrmions are topological magnetic textures which can arise in non-centrosymmetric ferromagnetic materials. In most systems experimentally investigated to date, skyrmions emerge as classical objects. However, the discovery of skyrmions with nanometer length scales has sparked interest in their quantum properties. Quantum corrections to the classical magnetic textures have already been considered in the semiclassical regime. Here, we go beyond this limit by investigating quantum skyrmions in the deep quantum regime. We use density matrix renormalization group techniques to study two-dimensional spin-1/2 Heisenberg ferromagnets with Dzyaloshinskii-Moriya interactions and discover a broad region in the zero temperature phase diagram which hosts quantum skyrmion lattice ground states. We argue that this novel quantum skyrmion phase can be detected experimentally in the magnetization profile via local magnetic polarization measurements as well as in the spin structure factor measurable via neutron scattering experiments. Finally, we explore the resulting quantum skyrmion state, analyze its real space polarization profile and show that it is a non-classical state featuring entanglement between quasiparticle and environment mainly localized near the boundary spins of the skyrmion. [less ▲]

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See detailHow relaxing develops and affects well-being throughout childhood
Cunsolo, Sabbiana; Cebotari, Victor UL; Richardson, Dominic et al

E-print/Working paper (2021)

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See detailHow enriching sensory awareness develops and affects well-being throughout childhood
Linzarini, Adriano; Cebotari, Victor UL; Richardson, Dominic et al

E-print/Working paper (2021)

Detailed reference viewed: 20 (0 UL)
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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)

Detailed reference viewed: 54 (0 UL)
See detailNeurotoxic Amyloidogenic Peptides Identified in the Proteome of SARS-COV2: Potential Implications for Neurological Symptoms in COVID-19
Islam, Saba; Charnley, Mirren; Bindra, Guneet et al

E-print/Working paper (2021)

COVID-19 is primarily known as a respiratory disease caused by the virus SARS-CoV-2. However, neurological symptoms such as memory loss, sensory confusion, cognitive and psychiatric issues, severe ... [more ▼]

COVID-19 is primarily known as a respiratory disease caused by the virus SARS-CoV-2. However, neurological symptoms such as memory loss, sensory confusion, cognitive and psychiatric issues, severe headaches, and even stroke are reported in as many as 30% of cases and can persist even after the infection is over (so-called ‘long COVID’). These neurological symptoms are thought to be caused by brain inflammation, triggered by the virus infecting the central nervous system of COVID-19 patients, however we still don’t fully understand the mechanisms for these symptoms. The neurological effects of COVID-19 share many similarities to neurodegenerative diseases such as Alzheimer’s and Parkinson’s in which the presence of cytotoxic protein-based amyloid aggregates is a common etiological feature. Following the hypothesis that some neurological symptoms of COVID-19 may also follow an amyloid etiology we performed a bioinformatic scan of the SARS-CoV-2 proteome, detecting peptide fragments that were predicted to be highly amyloidogenic. We selected two of these peptides and discovered that they do rapidly self-assemble into amyloid. Furthermore, these amyloid assemblies were shown to be highly toxic to a neuronal cell line. We introduce and support the idea that cytotoxic amyloid aggregates of SARS-CoV-2 proteins are causing some of the neurological symptoms commonly found in COVID-19 and contributing to long COVID, especially those symptoms which are novel to long COVID in contrast to other post-viral syndromes. [less ▲]

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

E-print/Working paper (2021)

Detailed reference viewed: 28 (7 UL)
See detailPublic support for tax policies in COVID-19 times: Evidence from Luxembourg
Olivera, Javier; van Kerm, Philippe UL

E-print/Working paper (2021)

We study attitudes towards the introduction of hypothetical new taxes to finance the cost of the COVID-19 pandemic. We rely on survey data collected in Luxembourg in 2020. The survey asks for the ... [more ▼]

We study attitudes towards the introduction of hypothetical new taxes to finance the cost of the COVID-19 pandemic. We rely on survey data collected in Luxembourg in 2020. The survey asks for the agreement of respondents over: a one-time net wealth tax, an inheritance tax, a temporary solidarity income tax, and a temporary increase in VAT. All questions include different and randomly assigned tax attributes (tax rates and exemption amounts). We find a clear divide with relativelyhigh support for new wealth and inheritance taxes on the one hand and a low support for increases in VAT and income taxes on the other hand. While 58% of respondents agree or strongly agree with a one-time tax levied on net worth, only24% are in favor of a small increase in VAT. Support for any tax is however negatively associated with the size of the tax as measured by the predicted revenues. Our results indicate that a one-time wealth tax could raise substantial revenues andstill garner public support. [less ▲]

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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.

Detailed reference viewed: 48 (0 UL)
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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)

Detailed reference viewed: 42 (2 UL)
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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 ▲]

Detailed reference viewed: 138 (11 UL)
See detailGeneralising from Conventional Pipelines: A Case Study in Deep Learning-Based High-Throughput Screening
Garcia Santa Cruz, Beatriz UL; Sölter, Jan; Gomez Giro, Gemma UL et al

E-print/Working paper (2021)

The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality ... [more ▼]

The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality of the results relies on the accuracy of the image analysis. Although state-of-the-art solutions for image segmentation employ deep learning approaches, the high cost of manually generating ground truth labels for model training hampers the day-to-day application in experimental laboratories. Alternatively, traditional computer vision-based solutions do not need expensive labels for their implementation. Our work combines both approaches by training a deep learning network using weak training labels automatically generated with conventional computer vision methods. Our network surpasses the conventional segmentation quality by generalising beyond noisy labels, providing a 25 % increase of mean intersection over union, and simultaneously reducing the development and inference times. Our solution was embedded into an easy-to-use graphical user interface that allows researchers to assess the predictions and correct potential inaccuracies with minimal human input. To demonstrate the feasibility of training a deep learning solution on a large dataset of noisy labels automatically generated by a conventional pipeline, we compared our solution against the common approach of training a model from a small manually curated dataset by several experts. Our work suggests that humans perform better in context interpretation, such as error assessment, while computers outperform in pixel-by-pixel fine segmentation. Such pipelines are illustrated with a case study on image segmentation for autophagy events. This work aims for better translation of new technologies to real-world settings in microscopy-image analysis. [less ▲]

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See detailJudicial Education and Judicial Independence: Paper given at the 2021 Commonwealth Law Conference
Happold, Matthew UL

E-print/Working paper (2021)

The link between judicial education and an efficient judiciary is, one hopes, obvious. But in order to ensure judicial independence, contemporary wisdom has it, judicial education should also be in the ... [more ▼]

The link between judicial education and an efficient judiciary is, one hopes, obvious. But in order to ensure judicial independence, contemporary wisdom has it, judicial education should also be in the hands of the judiciary. Absent such control, there is a risk that judges may be indoctrinated by interested actors and their independence compromised. Some critics, however, have been sceptical about judicial control of judicial education. Judicial control of education often justified on basis of expertise as well as need to protect independence. But judges are not pedagogues (and their view of what judging does, or should, entail are often untheorized). Nor are they particularly representative of society. In addition, a danger unmitigated by judicial control of judicial education is regulatory capture, defined as ‘the result or process by which regulation, in law or application, is consistently or repeatedly directed away from the public interest and toward the interests of the regulated industry, by the intent and action of the industry itself'. Even if other voices are integrated into discussions, the danger exists that they might seek to subvert the process to privilege their interests over the general interest. Such concerns have recently been raised in England and Wales with regard to the Equal Treatment Bench Book. The paper examines the relationship between judicial education and judicial independence through the lens of this controversy. It concludes that when judicial education trespass on the independence of the individual judge is not an easy question to answer (not least because education is always about socialization) but, crucially, it is not one answered by putting judicial education in the hands of the judiciary. [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)

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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 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)

Detailed reference viewed: 159 (12 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 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 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 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 about geometric analysis on Riemannian manifolds. The L^p-Calderón-Zygmund inequality is one of the cornerstones in the regularity theory of elliptic equations, and ... [more ▼]

We address some fundamental questions about geometric analysis on Riemannian manifolds. The L^p-Calderón-Zygmund inequality is one of the cornerstones in the regularity theory of elliptic equations, and it has been asked under which geometric conditions it holds for a reasonable class of non-compact Riemannian manifolds, and to what extent assumptions on the derivative of curvature and on the injectivity radius of the manifold are necessary. In the present paper, for 1<p<2, we give a positive answer for the validity of the L^p-Calderón-Zygmund inequality on a Riemannian manifold assuming only a lower bound on the Ricci curvature. It is well known that this alone is not sufficient for p>2. In this case we complement the study of Güneysu-Pigola (2015) and derive sufficient geometric criteria for the validity of the Calderón-Zygmund inequality under additional Kato class bounds on the Riemann curvature tensor and the covariant derivative of Ricci curvature. Bounds in the Kato class are integral conditions and much weaker than pointwise bounds. Throughout the proofs, probabilistic tools, like Hessian formulas and Bismut type representations for heat semigroups, play a significant role. [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 detailTrade-offs in phenotypic noise synchronize emergent topology to actively enhance transport in microbial environments
Dhar, Jayabrata UL; Thai, Le Phuong Anh UL; Ghoshal, Arkajyoti UL et al

E-print/Working paper (2021)

Phenotypic noise underpins homeostasis and fitness of individual cells. Yet, the extent to which noise shapes cell-to-population properties in microbial active matter remains poorly understood. By ... [more ▼]

Phenotypic noise underpins homeostasis and fitness of individual cells. Yet, the extent to which noise shapes cell-to-population properties in microbial active matter remains poorly understood. By quantifying variability in confluent \textit{E.coli} strains, we catalogue noise across different phenotypic traits. The noise, measured over different temperatures serving as proxy for cellular activity, spanned more than two orders of magnitude. The maximum noise was associated with the cell geometry and the critical colony area at the onset of mono-to-multilayer transition (MTMT), while the lower bound was set by the critical time of the MTMT. Our results, supported by a hydrodynamic model, suggest that a trade-off between the noise in the cell geometry and the growth rate can lead to the self-regulation of the MTMT timing. The MTMT cascades synchronous emergence of hydrodynamic fields, actively enhancing the micro-environmental transport. Our results highlight how interplay of phenotypic noise triggers emergent deterministic properties, and reveal the role of multifield topology--of the colony structure and hydrodynamics--to insulate confluent systems from the inherent noise associated with natural cell-environment settings. [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 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 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)

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See detailEmbedding Intelligence in Materials for Responsive Built Environment using Liquid Crystal Elastomer Actuators and Sensors
Schwartz, Mathew; Lagerwall, Jan UL

E-print/Working paper (2021)

Liquid Crystal Elastomers (LCEs) are an exciting category of material that has tremendous application potential across a variety of fields, owing to their unique properties that enable both sensing and ... [more ▼]

Liquid Crystal Elastomers (LCEs) are an exciting category of material that has tremendous application potential across a variety of fields, owing to their unique properties that enable both sensing and actuation. To some, LCEs are simply another type of Shape Memory Polymer, while to others they are an interesting on-going scientific experiment. In this visionary article, we bring an interdisciplinary discussion around creative and impactful ways that LCEs can be applied in the Built Environment to support kinematic and kinetic buildings and situational awareness. We focus particularly on the autonomy made possible by using LCEs, potentially removing needs for motors, wiring and tubing, and even enabling fully independent operation in response to natural environment variations, requiring no power sources. To illustrate the potential, we propose a number of concrete application scenarios where LCEs could offer innovative solutions to problems of great societal importance, such as autonomous active ventilation, heliotropic solar panels systems which can also remove snow or sand autonomously, and invisible coatings with strain mapping functionality, alerting residents in case of dangerous (static or dynamic) loads on roofs or windows, as well as assisting building safety inspection teams after earthquakes. [less ▲]

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See detailAdaptively Secure Laconic Function Evaluation for NC1
Agrawal, Shweta; Rosie, Razvan UL

E-print/Working paper (2021)

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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: 89 (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)

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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 ▲]

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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 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 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 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 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 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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Peer Reviewed
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: 84 (0 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 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 detailConstitutional engineering of State of exception regimes within the European Union
Gerkrath, Jörg UL

E-print/Working paper (2021)

Detailed reference viewed: 29 (1 UL)
See detailGaussian approximation for sums of region-stabilizing scores
Bhattacharjee, Chinmoy UL; Molchanov, Ilya

E-print/Working paper (2021)

Detailed reference viewed: 36 (2 UL)
See detailA Survey of Requirements for COVID-19 Mitigation Strategies. Part II: Elicitation of Requirements
Jamroga, Wojciech UL

E-print/Working paper (2021)

The COVID-19 pandemic has influenced virtually all aspects of our lives. Across the world, countries have applied various mitigation strategies, based on social, political, and technological instruments ... [more ▼]

The COVID-19 pandemic has influenced virtually all aspects of our lives. Across the world, countries have applied various mitigation strategies, based on social, political, and technological instruments. We postulate that multi-agent systems can provide a common platform to study (and balance) their essential properties. We also show how to obtain a comprehensive list of the properties by ``distilling'' them from media snippets. Finally, we present a preliminary take on their formal specification, using ideas from multi-agent logics. [less ▲]

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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 detailProvably Solving the Hidden Subset Sum Problem via Statistical Learning
Coron, Jean-Sébastien UL; Gini, Agnese UL

E-print/Working paper (2021)

At Crypto ’99, Nguyen and Stern described a lattice based algorithm for solving the hidden subset sum problem, a variant of the classical subset sum problem where the n weights are also hidden. As an ... [more ▼]

At Crypto ’99, Nguyen and Stern described a lattice based algorithm for solving the hidden subset sum problem, a variant of the classical subset sum problem where the n weights are also hidden. As an application, they showed how to break the Boyko et al. fast generator of random pairs (x, g x(mod p)). The Nguyen-Stern algorithm works quite well in practice for moderate values of n, but its complexity is exponential in n. A polynomial-time variant was recently described at Crypto 2020, based on a multivariate technique, but the approach is heuristic only. In this paper, we describe a proven polynomial-time algorithm for solving the hidden subset-sum problem, based on statistical learning. In addition, we show that the statistical approach is also quite efficient in practice: using the FastICA algorithm, we can reach n = 250 in reasonable time. [less ▲]

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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 ▲]

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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 detailDynamic Universal Accumulator with Batch Update over Bilinear Groups
Vitto, Giuseppe UL; Biryukov, Alexei UL

E-print/Working paper (2021)

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See detailTHE EU SUSTAINABLE FINANCE FRAMEWORK IN LIGHT OF INTERNATIONAL STANDARDS
Bodellini, Marco UL

E-print/Working paper (2021)

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See detailBorder or bordering practice? Changing perspectives on borders and challenges of praxeological approaches
Connor, Ulla UL

E-print/Working paper (2021)

In Border Studies, the ongoing discussions on methodological and theoretical questions have led to the development of transformed approaches and vocabulary for border research. This contribution ... [more ▼]

In Border Studies, the ongoing discussions on methodological and theoretical questions have led to the development of transformed approaches and vocabulary for border research. This contribution highlights the shift from ‘border’ to ‘bordering practice’ and questions its sources in the scientific context, such as the cultural turn and the related practice turn. Despite the popular use of the term ‘practice’ in Border Studies, sociological practice theories are not at the center of the development of dynamic concepts for studying borders. The article emphasizes the compatibility of sociological practice theories with the practice and process orientation in Border Studies. It gives a short overview of praxeological thinking in sociology and identifies methodological challenges for Border Studies targeting the development of praxeological re-search perspectives for borders. [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: 32 (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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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 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 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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