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See detailThe Breuer-Major Theorem in total variation: improved rates under minimal regularity
Nourdin, Ivan UL; Nualart, David; Peccati, Giovanni UL

in Stochastic Processes and Their Applications (2021), 131

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See detailAST-MTL : An Attention-based Multi- Task Learning Strategy for Traffic Forecasting
Buroni, Giovanni; Lebichot, Bertrand UL; Bontempi, Gianluca

in IEEE Access (2021)

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See detailPreface of the special issue ‘Logic, argumentation and AI’ in JLC
Dong, Huimin; Pang, Jun UL; Wang, Yi

in Journal of Logic and Computation (2021), 31(8), 1901-1902

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See detailPatterning enhanced tetragonality in BiFeO3 thin films with effective negative pressure by helium implantation
Toulouse, Constance UL; Fischer, Johanna; Farokhipoor, Saeedeh et al

in Physical Review Materials (2021), 5(2), 024404

Helium implantation in epitaxial thin films is a way to control the out-of-plane deformation independently from the in-plane strain controlled by epitaxy. In particular, implantation by means of a helium ... [more ▼]

Helium implantation in epitaxial thin films is a way to control the out-of-plane deformation independently from the in-plane strain controlled by epitaxy. In particular, implantation by means of a helium microscope allows for local implantation and patterning down to the nanometer resolution, which is of interest for device applications. We present here a study of bismuth ferrite (BiFeO3) films where strain was patterned locally by helium implantation. Our combined Raman, x-ray diffraction, and transmission electron microscopy (TEM) study shows that the implantation causes an elongation of the BiFeO3 unit cell and ultimately a transition towards the so-called supertetragonal polymorph via states with mixed phases. In addition, TEM reveals the onset of amorphization at a threshold dose that does not seem to impede the overall increase in tetragonality. The phase transition from the R-like to T-like BiFeO3 appears as first-order in character, with regions of phase coexistence and abrupt changes in lattice parameters. [less ▲]

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See detailAdverse Life Trajectories Are a Risk Factor for SARS-CoV-2 IgA Seropositivity.
Holuka, Cyrielle; Snoeck, Chantal J.; Mériaux, Sophie B. et al

in Journal of clinical medicine (2021), 10(10),

Asymptomatic individuals, called "silent spreaders" spread SARS-CoV-2 efficiently and have complicated control of the ongoing COVID-19 pandemic. As seen in previous influenza pandemics, socioeconomic and ... [more ▼]

Asymptomatic individuals, called "silent spreaders" spread SARS-CoV-2 efficiently and have complicated control of the ongoing COVID-19 pandemic. As seen in previous influenza pandemics, socioeconomic and life-trajectory factors are important in disease progression and outcome. The demographics of the asymptomatic SARS-CoV-2 carriers are unknown. We used the CON-VINCE cohort of healthy, asymptomatic, and oligosymptomatic individuals that is statistically representative of the overall population of Luxembourg for age, gender, and residency to characterise this population. Gender (male), not smoking, and exposure to early-life or adult traumatic experiences increased the risk of IgA seropositivity, and the risk associated with early-life exposure was a dose-dependent metric, while some other known comorbidities of active COVID-19 do not impact it. As prior exposure to adversity is associated with negative psychobiological reactions to external stressors, we recorded psychological wellbeing during the study period. Exposure to traumatic events or concurrent autoimmune or rheumatic disease were associated with a worse evolution of anxiety and depressive symptoms throughout the lockdown period. The unique demographic profile of the "silent spreaders" highlights the role that the early-life period plays in determining our lifelong health trajectory and provides evidence that the developmental origins of health and disease is applicable to infectious diseases. [less ▲]

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See detailA Trusted Hybrid Learning Approach to Secure Edge Computing
Sedjelmaci, Hichem; Senouci, Sidi Mohammed; Ansari, Nirwan et al

in IEEE Consumer Electronics Magazine (2021)

Securing edge computing has drawn much attention due to the vital role of edge computing in Fifth Generation (5G) wireless networks. Artificial Intelligence (AI) has been adopted to protect networks ... [more ▼]

Securing edge computing has drawn much attention due to the vital role of edge computing in Fifth Generation (5G) wireless networks. Artificial Intelligence (AI) has been adopted to protect networks against attackers targeting the connected edge devices or the wireless channel. However, the proposed detection mechanisms could generate a high false detection rate, especially against unknown attacks defined as zero-day threats. Thereby, we propose and conceive a new hybrid learning security framework that combines the expertise of security experts and the strength of machine learning to protect the edge computing network from known and unknown attacks, while minimizing the false detection rate. Moreover, to further decrease the number of false detections, a cyber security mechanism based on a Stackelberg game is used by the hybrid learning security engine (activated at each edge server) to assess the detection decisions provided by the neighboring security engines. [less ▲]

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See detailBook review: Die Handschriften der Hofschule Kaiser Karls des Grossen: Individuelle Gestalt und europäisches Kulturerbe
Dubuisson, Bastien UL

in Hemecht: Zeitschrift für Luxemburger Geschichte (2021), 73(1),

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See detailEditorial: Celebrating the Diversity of Genetic Research to Dissect the Pathogenesis of Parkinson's Disease
Farrer, Matthew J.; Bardien, Soraya; Hattori, Nobutaka et al

in Frontiers in Neurology (2021), 12

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide, taking into account age-standardized rates for prevalence, disability and deaths (1). PD is characterized by a clinical ... [more ▼]

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide, taking into account age-standardized rates for prevalence, disability and deaths (1). PD is characterized by a clinical symptomatology involving both motor and non-motor symptoms. According to the Global Burden of Disease study (2018), the global burden of this disorder has more than doubled over the past two decades from 2.5 million patients in 1990 to 6.1 million patients in 2016 (2). In this editorial and eBook, we highlight the research done on PD by members of a global consortium known as the Genetic Epidemiology of Parkinson's disease (GEoPD) Consortium. We begin the editorial by providing a brief history of how GEoPD was started and how it has subsequently developed into an international endeavor. We then briefly summarize the completed and ongoing projects, and conclude with the future vision of this unique consortium. [less ▲]

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See detailRetrospective non-target analysis to support regulatory water monitoring: from masses of interest to recommendations via in silico workflows
Lai, Adelene UL; Singh, Randolph UL; Kovalova, Lubomira et al

in Environmental Sciences Europe (2021), 33(1), 43

Abstract Background Applying non-target analysis (NTA) in regulatory environmental monitoring remains challenging—instead of having exploratory questions, regulators usually already have specific ... [more ▼]

Abstract Background Applying non-target analysis (NTA) in regulatory environmental monitoring remains challenging—instead of having exploratory questions, regulators usually already have specific questions related to environmental protection aims. Additionally, data analysis can seem overwhelming because of the large data volumes and many steps required. This work aimed to establish an open in silico workflow to identify environmental chemical unknowns via retrospective NTA within the scope of a pre-existing Swiss environmental monitoring campaign focusing on industrial chemicals. The research question addressed immediate regulatory priorities: identify pollutants with industrial point sources occurring at the highest intensities over two time points. Samples from 22 wastewater treatment plants obtained in 2018 and measured using liquid chromatography–high resolution mass spectrometry were retrospectively analysed by (i) performing peak-picking to identify masses of interest; (ii) prescreening and quality-controlling spectra, and (iii) tentatively identifying priority “known unknown” pollutants by leveraging environmentally relevant chemical information provided by Swiss, Swedish, EU-wide, and American regulators. This regulator-supplied information was incorporated into MetFrag, an in silico identification tool replete with “post-relaunch” features used here. This study’s unique regulatory context posed challenges in data quality and volume that were directly addressed with the prescreening, quality control, and identification workflow developed. Results One confirmed and 21 tentative identifications were achieved, suggesting the presence of compounds as diverse as manufacturing reagents, adhesives, pesticides, and pharmaceuticals in the samples. More importantly, an in-depth interpretation of the results in the context of environmental regulation and actionable next steps are discussed. The prescreening and quality control workflow is openly accessible within the R package Shinyscreen, and adaptable to any (retrospective) analysis requiring automated quality control of mass spectra and non-target identification, with potential applications in environmental and metabolomics analyses. Conclusions NTA in regulatory monitoring is critical for environmental protection, but bottlenecks in data analysis and results interpretation remain. The prescreening and quality control workflow, and interpretation work performed here are crucial steps towards scaling up NTA for environmental monitoring. [less ▲]

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See detailA gravity analysis of refugee mobility using mobile phone data
Beine, Michel UL; Bertinelli, Luisito UL; Cömertpay, Rana UL et al

in Journal of Development Economics (2021)

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See detailLearning from invention failure among research organizations: the role of top management team founding experiences and exposure to US culture
Semrau, Thorsten; Fisch, Christian UL; Klingbeil, Caren

in Industry and Innovation (2021), 28(6), 704-724

Building on organisational failure learning and upper echelons theory, we examine the link between top management team (TMT) prior experiences and invention failure learning among research organisations ... [more ▼]

Building on organisational failure learning and upper echelons theory, we examine the link between top management team (TMT) prior experiences and invention failure learning among research organisations. Specifically, we develop theoretical arguments to suggest that TMT founding experience and exposure to US culture facilitate organisational learning from failure. We test our theoretical reasoning using a longitudinal data set comprising 550 organisation-year observations of the patenting activities conducted by 39 research institutes in Germany. In support of our theoretical arguments, we find that TMT founding experience and TMT exposure to US culture positively moderate the link between prior invention failure and subsequent invention performance. Pointing to TMT experiences as a crucial contingency for whether organisations learn from failure, the present study contributes to the literature on organisational failure learning and upper echelons. [less ▲]

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See detailIllusory gender-equality paradox, math self-concept, and frame-of-reference effects: New integrative explanations for multiple paradoxes
Marsh, Herbert W.; Parker, Philip D.; Guo, Jiesi et al

in Journal of Personality and Social Psychology (2021)

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See detailThe degree of Kummer extensions of number fields
Perucca, Antonella UL; Sgobba, Pietro UL; Tronto, Sebastiano UL

in International Journal of Number Theory (2021)

Let K be a number field, and let \alpha_1, ... , \alpha_r be elements of K* which generate a subgroup of K* of rank r. Consider the cyclotomic-Kummer extensions of K given by K(\zeta_n, \sqrt[n_1]{\alpha ... [more ▼]

Let K be a number field, and let \alpha_1, ... , \alpha_r be elements of K* which generate a subgroup of K* of rank r. Consider the cyclotomic-Kummer extensions of K given by K(\zeta_n, \sqrt[n_1]{\alpha_1}, ... , \sqrt[n_r]{\alpha_r}), where n_i divides n for all i. There is an integer x such that these extensions have maximal degree over K(\zeta_g, \sqrt[g_1]{\alpha_1}, ... , \sqrt[g_r]{\alpha_r}), where g=\gcd(n,x) and g_i=\gcd(n_i,x). We prove that the constant x is computable. This result reduces to finitely many cases the computation of the degrees of the extensions K(\zeta_n, \sqrt[n_1]{\alpha_1}, ... , \sqrt[n_r]{\alpha_r}) over K. [less ▲]

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See detailHow Migration Policy Shapes the Subjective Well-Being of the Non-immigrant Population in European Countries
Tatarko, Alexander; Jurcik, Tomas; Hadjar, Andreas UL

in Journal of Cross-Cultural Psychology (2021), early online

Existing studies show that there is a positive association between pro-migrant integration policies and the subjective well-being of immigrants. However, there is a lack of research elucidating the ... [more ▼]

Existing studies show that there is a positive association between pro-migrant integration policies and the subjective well-being of immigrants. However, there is a lack of research elucidating the relations between migrant integration policies and the subjective well-being of the host (i.e., non-migrant) population. This study is based on European data and uses multilevel analysis to clarify the relations between migrant integration policy (both as a whole and its eight separate components such as: Labor market mobility and Family reunion) and the subjective well-being of the non-immigrant population in European countries. We examined relations between the Migrant Integration Policy Index (MIPEX) for 22 countries in Europe and subjective well-being, as assessed by the European Social Survey (ESS) data. The results demonstrated that there is a positive relation between the MIPEX and subjective well-being for non-immigrants. Considering different components of the MIPEX separately, we found most of them being positively related to the subjective well-being of non-immigrants. As no negative relationship was identified between any of the eight MIPEX components and subjective well-being, policies in favor of immigrant integration also seem to benefit the non-immigrant population. [less ▲]

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See detailDesigning Pareto optimal electricity retail rates when utility customers are prosumers
Saumweber, Andrea; Wederhake, Lars; Cardoso, Gonçalo et al

in Energy Policy (2021), 156

Electric retail rate design is relevant to utilities, customers, and regulators as retail rates impact the utility's revenue as well as the customers' electricity bills. In California, regulators approve ... [more ▼]

Electric retail rate design is relevant to utilities, customers, and regulators as retail rates impact the utility's revenue as well as the customers' electricity bills. In California, regulators approve rate proposals by privately owned vertical integrated utilities. Approval, however, is subject to compliance with multiple, potentially conflicting objectives such as economic or environmental objectives. Additionally, retail rates are price signals that affect how customers use electricity services. When utility customers change their usage, they also impact the ratemaking objectives to which rates have been designed. This suggests a feedback loop, which is particularly pronounced with prosumers, as they can systematically optimize their interactions with the electricity system. Prevalent ratemaking methods may not deliver retail rates that are optimal for multiple objectives when customers are prosumers. We propose a novel ratemaking method that formalizes the problem of designing retail rates as a multi-criteria optimization problem and accounts for prosumer reactions through a simulation-based optimization approach. Through a fictive case study, we found that the resulting Pareto frontiers are useful in recognizing and balancing tradeoffs among conflicting ratemaking objectives. Additionally, our results indicate that prevailing retail rates in California are not Pareto optimal. [less ▲]

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See detailEmotion Regulation Questionnaire- adapted and Individual Differences in Emotion Regulation
Seixas, Rita; Pignault, Anne; Houssemand, Claude UL

in Europe's Journal of Psychology (2021)

Emotion regulation is a human adaptation process with important implications for daily life. Two specific emotion regulation strategies were the principle areas of study: reappraisal (cognitive change in ... [more ▼]

Emotion regulation is a human adaptation process with important implications for daily life. Two specific emotion regulation strategies were the principle areas of study: reappraisal (cognitive change in which individuals adapt their state of mind about a given situation) and expressive suppression (response modulation in which individuals change their emotional response after its initiation). The Emotion Regulation Questionnaire (ERQ), that captures individual tendencies to reappraise and to suppress the expression of emotions, was also developed. Response modulation strategy was analyzed by considering two distinct processes: expressive suppression (down-regulation) and expressive enhancement (up-regulation). This latter modulation process has been less frequently studied by researchers. The present study investigates the psychometrical properties, individual differences and correlates of a French adapted version of the ERQ, which comprises reappraisal and the two response modulation tendencies – expressive suppression and expressive enhancement. Based on the initial ERQ, new items were created and added to the scale. The three-factor structure of the ERQ adapted was confirmed. As expected, emotion regulation is linked to individual differences: the tendency to reappraise has a positive low correlation with age; and men are significantly more disposed to suppress and to enhance than women. Finally, the tendency to suppress the expression of emotions is negatively correlated with extraversion, and the disposition to enhance the expression of emotions is negatively correlated with conscientiousness. [less ▲]

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See detailPublic family firms and capital structure: A meta-analysis
Hansen, Christopher UL; Block, Joern

in Corporate Governance: An International Review (2021), 29(3), 297-319

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See detailInternational Organisations and the Proliferation of Scientised Global Reporting, 1947–2019
Zapp, Mike UL

in Global Society: Journal of Interdisciplinary International Relations (2021)

As novel instruments in global governance, international organisations’ (IOs) global reports have emerged in all policy sectors in the more recent period. Drawing on an original dataset of N = 363 ... [more ▼]

As novel instruments in global governance, international organisations’ (IOs) global reports have emerged in all policy sectors in the more recent period. Drawing on an original dataset of N = 363 editions from N = 95 explicitly global reports from the period 1947–2019, this study documents the rise of reporting and uses citation and content analyses to examine the changing role of science. Reporting based on scientific research and quantitative indicators increases over time and across all sectors, yet particularly striking since the late 1980s and most in sectors dealing with human development and the environment. Drawing on arguments from world society theory, the sociology of quantification and post-truth approaches, this work argues that while reports provide IOs with new legitimacy in science-based governance, their scientised and quantified nature is likely to make IO activities the target of antiscientific populist rhetoric and critical arguments about a reductionist interpretation of science. [less ▲]

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See detailChanges in Neighborhood-Level Socioeconomic Disadvantage and Older Americans’ Cognitive Functioning
Settels, Jason UL; Leist, Anja UL

in Health and Place (2021)

Background: While associations of neighborhood conditions with cognitive functioning at older ages have been established, few studies have investigated with a dynamic perspective if changing neighborhood ... [more ▼]

Background: While associations of neighborhood conditions with cognitive functioning at older ages have been established, few studies have investigated with a dynamic perspective if changing neighborhood socioeconomic conditions affect older residents’ cognitive declines, and which putative factors mediate this relationship. Method: Using data from waves 2 (2010–2011) and 3 (2015–2016) of the National Social Life, Health, and Aging Project (NSHAP) survey (n = 1837), ordinary least squares regressions and mediation analyses were conducted, adjusting for multiple confounders and testing eight putative mediators. Results: Worsening neighborhood socioeconomic circumstances were associated with cognitive declines. Changes in depressive symptoms, sizes of close social networks, and physical activity substantially mediated this relationship. Discussion: While 18.10% of the total effect occurred through these mechanisms, further pathways may work through contextual- and individual-level variables not assessed in the NSHAP. [less ▲]

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See detailThe Data Use Ontology to streamline responsible access to human biomedical datasets
Lawson, Jonathan; Cabili, Moran N.; Kerry, Giselle et al

in Cell Genomics (2021), 1(2),

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See detailSynergies in Cybersecurity Incident Reporting – The NIS Cooperation Group Publication 04/20 in Context
Schmitz, Sandra UL; Anheier, Fabian UL

in European Data Protection Law Review (2021), 7(1), 101-107

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See detailLongitudinal Associations between Perceived Stress and Views on Aging: Evidence for Reciprocal Relations
Wettstein, Markus; Wahl, Hans-Werner; Kornadt, Anna Elena UL

in Psychology and Aging (2021), 36(6), 752-766

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See detailMeasurement Invariance of Test Anxiety Across Four School Subjects
Schneider, Rebecca; Sparfeldt, Jörn R; Niepel, Christoph UL et al

in European Journal of Psychological Assessment (2021)

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See detailAffaire Commission c/ Italie du 5 septembre 2019 : des manquements de l’Italie et des limites du principe de précaution dans la gestion de la crise de la Xylella
Donati, Alessandra UL

in Revue Européenne de Droit de la Consommation (2021)

L’affaire Commission c/ Italie du 5 septembre 2019 marque une étape importante dans la gestion de la crise de la Xylella. En condamnant l’Italie pour avoir manqué à ses obligations d’enlèvement de ... [more ▼]

L’affaire Commission c/ Italie du 5 septembre 2019 marque une étape importante dans la gestion de la crise de la Xylella. En condamnant l’Italie pour avoir manqué à ses obligations d’enlèvement de végétaux infectés par la Xylella et de vigilance de la progression de cette bactérie, la Cour de justice indique aux autres États membres la voie à suivre pour essayer de contenir la diffusion de cette bactérie « tueuse » d’oliviers. À partir de cet arrêt, on s’interroge sur les limites du principe de précaution qui, bien qu’évoqué comme instrument de prévention et de gestion de la crise de la Xylella, n’a pas permis d’arrêter la propagation de cette bactérie non seulement en Italie, mais aussi, désormais, en France, en Espagne et au Portugal. [less ▲]

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See detailVoting and winning: perceptions of electoral integrity in consolidating democracies
Mochtak, Michal UL; Lesschaeve, Christophe UL; Glaurdic, Josip UL

in Democratization (2021), 28(8), 1423-1441

How do voters in consolidating democracies see electoral integrity? How does election affect the change in perception of electoral integrity among these voters? What role does winning play in seeing an ... [more ▼]

How do voters in consolidating democracies see electoral integrity? How does election affect the change in perception of electoral integrity among these voters? What role does winning play in seeing an election as free and fair? Building on the theory of the winner-loser gap, we answer these questions using original two-wave panel surveys we conducted before and after three parliamentary elections in Southeast Europe in 2018 and 2020. The article focuses on changes of perception of electoral integrity as a function of satisfaction with the electoral results in contexts where the quality of elections has always been at the centre of political conflict. We specifically explore the socialization effect of elections in environments with notoriously low trust in political institutions and high electoral stakes. The article goes beyond the “sore loser” hypothesis and examines voters’ both political preferences and personal characteristics potentially responsible for the change in perception of electoral integrity over the course of electoral cycle. [less ▲]

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See detailEfficient Algorithms for Constant-Modulus Analog Beamforming
Arora, Aakash UL; Tsinos, Christos; Mysore Rama Rao, Bhavani Shankar UL et al

in IEEE Transactions on Signal Processing (2021)

The use of a large-scale antenna array (LSAA) has become an important characteristic of multi-antenna communication systems to achieve beamforming gains. For example, in millimeter wave (mmWave) systems ... [more ▼]

The use of a large-scale antenna array (LSAA) has become an important characteristic of multi-antenna communication systems to achieve beamforming gains. For example, in millimeter wave (mmWave) systems, an LSAA is employed at the transmitter/receiver end to combat severe propagation losses. In such applications, each antenna element has to be driven by a radio frequency (RF) chain for the implementation of fully-digital beamformers. This strict requirement significantly increases the hardware cost, complexity, and power consumption. Therefore, constant-modulus analog beamforming (CMAB) becomes a viable solution. In this paper, we consider the scaled analog beamforming (SAB) or CMAB architecture and design the system parameters by solving the beampattern matching problem. We consider two beampattern matching problems. In the first case, both the magnitude and phase of the beampattern are matched to the given desired beampattern whereas in the second case, only the magnitude of the beampattern is matched. Both the beampattern matching problems are cast as a variant of the constant-modulus least-squares problem. We provide efficient algorithms based on the alternating majorization-minimization (AMM) framework that combines the alternating minimization and the MM frameworks and the conventional-cyclic coordinate descent (C-CCD) framework to solve the problem in each case. We also propose algorithms based on a new modified-CCD (M-CCD) based approach. For all the developed algorithms we prove convergence to a Karush-Kuhn-Tucker (KKT) point (or a stationary point). Numerical results demonstrate that the proposed algorithms converge faster than state-of-the-art solutions. Among all the algorithms, the M-CCD-based algorithms have faster convergence when evaluated in terms of the number of iterations and the AMM-based algorithms offer lower complexity. [less ▲]

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See detailThe precautionary principle under European Union Law
Donati, Alessandra UL

in Hitotsubashi Journal of Law and Politics (2021)

By acknowledging the flexible and complex nature of the precautionary principle in EU law, the purpose of this paper is to provide a polycentric interpretation of this principle based on diversity rather ... [more ▼]

By acknowledging the flexible and complex nature of the precautionary principle in EU law, the purpose of this paper is to provide a polycentric interpretation of this principle based on diversity rather than uniformity. To achieve this objective, a methodology derived from the methodological pluralism is employed. This allows for the unitas multiplex between the different definitions and applications of the precautionary principle to be researched. The core claim of this paper is that the polycentric interpretation of the precautionary principle can be built on two concepts: anticipation and action. In the first part of this paper, I argue that anticipation implies the qualification by law and the evaluation by the science of uncertain risks. In the second part, I consider that, after having anticipated the time of action, decision-makers should act based on the precautionary principle. However, the action undertaken has different meanings and consequences from the procedural and substantive perspective. From the procedural side, the decision-makers should take into account this principle, while they remain free, on the substantive side, to adopt a precautionary measure. [less ▲]

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See detailDetection & Identification of On-Orbit Objects Using Machine Learning
Perez, Marcos; Mohamed Ali, Mohamed Adel UL; Garcia Sanchez, Albert UL et al

in European Conference on Space Debris (2021), 8(1),

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See detailA competitive Predator–Prey approach to enhance surveillance by UAV swarms
Stolfi, Daniel H.; Brust, Matthias R. UL; Danoy, Grégoire UL et al

in Applied Soft Computing (2021), 111

In this paper we present the competitive optimisation of a swarm of Unmanned Aerial Vehicles (UAV) protecting a restricted area from a number of intruders following a Predator–Prey approach. We propose a ... [more ▼]

In this paper we present the competitive optimisation of a swarm of Unmanned Aerial Vehicles (UAV) protecting a restricted area from a number of intruders following a Predator–Prey approach. We propose a Competitive Coevolutionary Genetic Algorithm (CompCGA) which optimises the parameters of the UAVs (i.e. predators) to maximise the detection of intruders, while the parameters of the intruders (i.e. preys) are optimised to maximise their intrusion success rate. Having chosen the CACOC (Chaotic Ant Colony Optimisation for Coverage) as the base mobility model for the UAVs, we propose an improved new version, where its behaviour is modified by identifying and optimising new parameters to improve the overall success rate when detecting intruders. Six case studies have been optimised using simulations by performing 30 independent runs (180 in total) of our CompCGA. Finally, we conducted a series of master tournaments (1,800,000 evaluations) using the best specimens obtained from each run and case study to test the robustness of our proposed approach against unexpected intruders. Our surveillance system improved the average percentage of intruders detected with respect to CACOC by a maximum of 126%. More than 90% of intruders were detected on average when using a swarm of 16 UAVs while CACOC’s detection rates are always under 80% in all cases. [less ▲]

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See detailCompétence pour ordonner la mainlevée d'une saisie conservatoire transfrontière
Cuniberti, Gilles UL

in Revue Critique de Droit International Privé (2021), (1), 157

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See detailAttentive Sequence-to-Sequence Modeling of Stroke Gestures Articulation Performance
Kumar T., Lokesh; Leiva, Luis A. UL

in IEEE Transactions on Human-Machine Systems (2021), 51(6),

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See detailOn the Performance of One-Bit DoA Estimation via Sparse Linear Arrays
Sedighi, Saeid UL; Mysore Rama Rao, Bhavani Shankar UL; Soltanalian, Mojtaba et al

in IEEE Transactions on Signal Processing (2021)

Direction of Arrival (DoA) estimation using Sparse Linear Arrays (SLAs) has recently gained considerable attention in array processing thanks to their capability to provide enhanced degrees of freedom in ... [more ▼]

Direction of Arrival (DoA) estimation using Sparse Linear Arrays (SLAs) has recently gained considerable attention in array processing thanks to their capability to provide enhanced degrees of freedom in resolving uncorrelated source signals. Additionally, deployment of one-bit Analog-to-Digital Converters (ADCs) has emerged as an important topic in array processing, as it offers both a low-cost and a low-complexity implementation. In this paper, we study the problem of DoA estimation from one-bit measurements received by an SLA. Specifically, we first investigate the identifiability conditions for the DoA estimation problem from one-bit SLA data and establish an equivalency with the case when DoAs are estimated from infinite-bit unquantized measurements. Towards determining the performance limits of DoA estimation from one-bit quantized data, we derive a pessimistic approximation of the corresponding Cram\'{e}r-Rao Bound (CRB). This pessimistic CRB is then used as a benchmark for assessing the performance of one-bit DoA estimators. We also propose a new algorithm for estimating DoAs from one-bit quantized data. We investigate the analytical performance of the proposed method through deriving a closed-form expression for the covariance matrix of the asymptotic distribution of the DoA estimation errors and show that it outperforms the existing algorithms in the literature. Numerical simulations are provided to validate the analytical derivations and corroborate the resulting performance improvement. [less ▲]

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See detailIntroduction: sémiotiques de l'archive
Fickers, Andreas UL; Dondero, Maria Guilia; Tore, Gian Maria UL et al

in Signata. Annales des Sémiotiques (2021), 12

Ce numéro de Signata vise à poser la question de l’archive d’un point de vue sémiotique et sémio-pragmatique. On entend ici par « sémiotique » non pas une discipline unique, mais une pluralité de manières ... [more ▼]

Ce numéro de Signata vise à poser la question de l’archive d’un point de vue sémiotique et sémio-pragmatique. On entend ici par « sémiotique » non pas une discipline unique, mais une pluralité de manières de questionner le sens, les formes et les valeurs au sein des disciplines historiques, sociologiques, philosophiques, linguistiques, médiatiques, artistiques, etc. Le but du dossier est ainsi la constitution d’une cartographie qui embrasse les différentes approches qui, dans le domaine de l’archive, peuvent faire émerger les questionnements liés au sens. [less ▲]

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See detailMotives and profiles of ICO investors
Fisch, Christian UL; Masiak, Christian; Vismara, Silvio et al

in Journal of Business Research (2021), 125(3), 564-576

Research on initial coin offerings (ICOs) is nascent and assesses ICOs from the perspectives of ventures and regulators. Little is known about the equally important group of investors who provide their ... [more ▼]

Research on initial coin offerings (ICOs) is nascent and assesses ICOs from the perspectives of ventures and regulators. Little is known about the equally important group of investors who provide their capital to ventures in ICOs. Using a primary dataset of 517 ICO investors, we identify and categorize the motivations to invest in ICOs using factor analysis. We find that investors are driven by ideological, technological, and financial motives. Regarding the relative importance of the motives, we find that technological motives are the most important motives to ICO investors, followed by financial and ideological motives. To further profile investors, we conduct a regression analysis to distinguish investors across different motives. For example, we show significant differences across motives with regard to investors' risk perception, sources of information, and demand for strict regulation. The implications of this study for both theory and practice are considerable. [less ▲]

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See detailEffective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding
Mo, Xian; Pang, Jun UL; Liu, Zhiming

in Computer Journal (2021), 64(3), 325-336

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See detailRoles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics
Martinez Arbas, Susana UL; Narayanasamy, Shaman UL; Herold, Malte et al

in Nature Microbiology (2021), 6(1), 123--135

Viruses and plasmids (invasive mobile genetic elements (iMGEs)) have important roles in shaping microbial communities, but their dynamic interactions with CRISPR-based immunity remain unresolved. We ... [more ▼]

Viruses and plasmids (invasive mobile genetic elements (iMGEs)) have important roles in shaping microbial communities, but their dynamic interactions with CRISPR-based immunity remain unresolved. We analysed generation-resolved iMGE–host dynamics spanning one and a half years in a microbial consortium from a biological wastewater treatment plant using integrated meta-omics. We identified 31 bacterial metagenome-assembled genomes encoding complete CRISPR–Cas systems and their corresponding iMGEs. CRISPR-targeted plasmids outnumbered their bacteriophage counterparts by at least fivefold, highlighting the importance of CRISPR-mediated defence against plasmids. Linear modelling of our time-series data revealed that the variation in plasmid abundance over time explained more of the observed community dynamics than phages. Community-scale CRISPR-based plasmid–host and phage–host interaction networks revealed an increase in CRISPR-mediated interactions coinciding with a decrease in the dominant ‘Candidatus Microthrix parvicella’ population. Protospacers were enriched in sequences targeting genes involved in the transmission of iMGEs. Understanding the factors shaping the fitness of specific populations is necessary to devise control strategies for undesirable species and to predict or explain community-wide phenotypes. [less ▲]

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See detailRadio Frequency Interference Detection Using Nonnegative Matrix Factorization
Silva, Felipe B.; Cetin, Ediz; Alves Martins, Wallace UL

in IEEE Transactions on Aerospace and Electronic Systems (2021)

This work proposes a new pre-correlation interference detection technique based on nonnegative matrix factorization (NMF) for global navigation satellite system (GNSS) signals. The proposed technique uses ... [more ▼]

This work proposes a new pre-correlation interference detection technique based on nonnegative matrix factorization (NMF) for global navigation satellite system (GNSS) signals. The proposed technique uses NMF to extract the time and frequency properties of the received signal from its spectrogram. The estimated spectral shape is then compared with the spectrogram’s time slices by means of a similarity function to detect the presence of radio frequency interference (RFI). In the presence of RFI, the NMF estimated spectral shape tends to be well-defined, resulting in high similarity levels. In contrast, in the absence of RFI, the received signal is solely comprised of noise and GNSS signals resulting in a noise like spectral shape estimate, leading to considerably reduced similarity levels. The proposal exploits this different similarity levels to detect the presence of interference. Simulation results indicate that the proposed technique yields increased detection capability with low false alarm rate even in low jammer-to-noise ratio environments for both narrow and wideband interference sources without requiring fine-tuning of parameters for specific RFI types. In addition, the proposal has reduced computational complexity, when compared with an existing statistical-based detector. [less ▲]

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See detailNo Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing
Attygalle, Nuwan T.; Leiva, Luis A. UL; Kljun, Matjaž et al

in Sensors (2021), 21(17),

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See detailCultural representation in Luxembourgish street naming practices
Purschke, Christoph UL

in Linguistics Vanguard (2021), 7(s5), 111

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See detailThe Comprehensive Mindfulness Experience: A Typological Approach to the Potential Benefits of Mindfulness for Dealing with Motivational Conflicts
Grund, Axel UL; Senker, Kerstin; Dietrich, Julia et al

in Motivation Science (2021)

We wanted to address two critical limitations of research on mindfulness and motivational conflict, by (a) distinguishing between conflict experiences and conflict reactivity and (b) by applying a ... [more ▼]

We wanted to address two critical limitations of research on mindfulness and motivational conflict, by (a) distinguishing between conflict experiences and conflict reactivity and (b) by applying a typological approach, exploring natural combinations of two core qualities of (state) mindfulness: present moment awareness and a nonjudgmental stance. Using an experience-sampling (ES) design (N = 107 on the personal and 3862 at the observational level) with baseline and posttest measures of general affective wellbeing, we found that between-person differences in everyday conflict reactivity (i.e., perseverative and self-evaluative reactions toward conflict experiences) but not in conflict experiences per se (i.e., feeling that one wants to or should do something else) predicted impaired affective well-being after the ES period. Furthermore, multilevel latent profile analysis showed that momentary conflict reactivity was lowest when participants reported to be both momentarily aware and nonjudgmental, mirroring the comprehensive mindfulness experience. These effects existed while controlling for baseline and accompanying affect as well as for conflict intensity, strengthening the idea that motivational conflict itself is not a critical instance of self-regulation failure and that being mindful may contribute to remain functionally efficient and psychological well-adjusted. [less ▲]

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See detailDas Schöne und das Monströse bei Eichendorff und Shelley
Kohns, Oliver UL

in Mitteilungen des Deutschen Germanistenverbandes (2021), 68(2), 192-208

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See detailCONSOLE: intruder detection using a UAV swarm and security rings
Stolfi, Daniel H.; Brust, Matthias R. UL; Danoy, Grégoire UL et al

in Swarm Intell. (2021), 15(3), 205--235

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See detailL’invention du travailleur incapable de travailler. Organisation, fonction et conditions des ateliers pour personnes en situation de handicap dans le contexte des politiques activantes.
Czedik, Stephanie; Pfahl, Lisa; Traue, Boris UL

in Alter – Journal of Disability Research (2021), 15(4), 363-374

The article elaborates on the emergence of a new social category: the “worker incapable of working”, which has not yet been recognized in the scientific literature. In Germany, people excluded from the ... [more ▼]

The article elaborates on the emergence of a new social category: the “worker incapable of working”, which has not yet been recognized in the scientific literature. In Germany, people excluded from the labour market are increasingly employed in workshops for people with disabilities due to what is defined as a total incapacity to work. In addition to the objective of labour market participation of people with disabilities, these workshops assume the aim of (re)establishing their performance and monitoring their reintegration into the general labour market. Changes in the profiles of people working in the workshops and their recent expansion are described, as well as the transformation of working processes and conditions, especially through digitalisation. The consequences of these transformations are studied within the framework of “activating” policies. [less ▲]

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See detailKulturen des Reparierens und die Lebensdauer der Dinge (Teil 1)
Krebs, Stefan UL; Schabacher, Gabriele; Weber, Heike

in TU: Zeitschrift für Technik im Unterricht (2021), 46(2), 5-13

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See detailStreet name changes as language and identity inscription in the cityscape
Tan, Peter K.; Purschke, Christoph UL

in Linguistics Vanguard (2021), 7(s5), 1-13

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See detailUplink Power Control in Massive MIMO with Double Scattering Channels
Trinh, van Chien UL; Ngo, Quoc Hien; Chatzinotas, Symeon UL et al

in IEEE Transactions on Wireless Communications (2021)

Massive multiple-input multiple-output (MIMO) is a key technology for improving the spectral and energy efficiency in 5G-and-beyond wireless networks. For a tractable analysis, most of the previous works ... [more ▼]

Massive multiple-input multiple-output (MIMO) is a key technology for improving the spectral and energy efficiency in 5G-and-beyond wireless networks. For a tractable analysis, most of the previous works on Massive MIMO have been focused on the system performance with complex Gaussian channel impulse responses under rich-scattering environments. In contrast, this paper investigates the uplink ergodic spectral efficiency (SE) of each user under the double scattering channel model. We derive a closed-form expression of the uplink ergodic SE by exploiting the maximum ratio (MR) combining technique based on imperfect channel state information. We further study the asymptotic SE behaviors as a function of the number of antennas at each base station (BS) and the number of scatterers available at each radio channel. We then formulate and solve a total energy optimization problem for the uplink data transmission that aims at simultaneously satisfying the required SEs from all the users with limited data power resource. Notably, our proposed algorithms can cope with the congestion issue appearing when at least one user is served by lower SE than requested. Numerical results illustrate the effectiveness of the closed-form ergodic SE over Monte-Carlo simulations. Besides, the system can still provide the required SEs to many users even under congestion. [less ▲]

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See detailFunctional and Molecular Properties of DYT-SGCE Myoclonus-Dystonia Patient-Derived Striatal Medium Spiny Neurons.
Kutschenko, Anna; Staege, Selma; Grütz, Karen et al

in International journal of molecular sciences (2021), 22(7),

Myoclonus-dystonia (DYT-SGCE, formerly DYT11) is characterized by alcohol-sensitive, myoclonic-like appearance of fast dystonic movements. It is caused by mutations in the SGCE gene encoding ε-sarcoglycan ... [more ▼]

Myoclonus-dystonia (DYT-SGCE, formerly DYT11) is characterized by alcohol-sensitive, myoclonic-like appearance of fast dystonic movements. It is caused by mutations in the SGCE gene encoding ε-sarcoglycan leading to a dysfunction of this transmembrane protein, alterations in the cerebello-thalamic pathway and impaired striatal plasticity. To elucidate underlying pathogenic mechanisms, we investigated induced pluripotent stem cell (iPSC)-derived striatal medium spiny neurons (MSNs) from two myoclonus-dystonia patients carrying a heterozygous mutation in the SGCE gene (c.298T>G and c.304C>T with protein changes W100G and R102X) in comparison to two matched healthy control lines. Calcium imaging showed significantly elevated basal intracellular Ca(2+) content and lower frequency of spontaneous Ca(2+) signals in SGCE MSNs. Blocking of voltage-gated Ca(2+) channels by verapamil was less efficient in suppressing KCl-induced Ca(2+) peaks of SGCE MSNs. Ca(2+) amplitudes upon glycine and acetylcholine applications were increased in SGCE MSNs, but not after GABA or glutamate applications. Expression of voltage-gated Ca(2+) channels and most ionotropic receptor subunits was not altered. SGCE MSNs showed significantly reduced GABAergic synaptic density. Whole-cell patch-clamp recordings displayed elevated amplitudes of miniature postsynaptic currents and action potentials in SGCE MSNs. Our data contribute to a better understanding of the pathophysiology and the development of novel therapeutic strategies for myoclonus-dystonia. [less ▲]

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See detailDer Zusammenhang emotionaler Kosten bei Grundschullehramtsstudierenden mit ihrer informatischen Problemlösekompetenz
Weber, Anke Maria UL; Barkela, Veronika; Stiel-Dämmer, Sabrina et al

in Empirische Pädagogik (2021), 35(1), 93-111

Computational thinking as an aspect of informatic problem-solving is considered to be an increasingly important competence. Computational thinking can already be fostered in primary school children, but ... [more ▼]

Computational thinking as an aspect of informatic problem-solving is considered to be an increasingly important competence. Computational thinking can already be fostered in primary school children, but its teaching in primary school remains sparse. A possible reason might be primary school teachers’ uncertainty regarding computer science and programming. Therefore, we developed a university course to teach the implementation of computational thinking to primary school student teachers with the goal of reducing possible emotional costs such as anxiety. Within this framework, we examined interindividual differences in informatic problem solving and logical thinking as prerequisites for reduction in these emotional costs. 70 students participated in the study with pre- and a post-assessment. A multiple regression showed that students’ emotional costs remained unchanged, however, informatic problem solving had a negative influence. Students with higher informatic problem solving competencies reported lower emotional costs. Logical thinking had no effect. The results indicate that students’ anxiety should be considered when eaching computational thinking. [less ▲]

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See detailThe induced metric on the boundary of the convex hull of a quasicircle in hyperbolic and anti de Sitter geometry
Bonsante, Francesco; Danciger, Jeff; Maloni, Sara et al

in Geometry and Topology (2021), 25-6

Celebrated work of Alexandrov and Pogorelov determines exactly which metrics on the sphere are induced on the boundary of a compact convex subset of hyperbolic three-space. As a step toward a ... [more ▼]

Celebrated work of Alexandrov and Pogorelov determines exactly which metrics on the sphere are induced on the boundary of a compact convex subset of hyperbolic three-space. As a step toward a generalization for unbounded convex subsets, we consider convex regions of hyperbolic three-space bounded by two properly embedded disks which meet at infinity along a Jordan curve in the ideal boundary. In this setting, it is natural to augment the notion of induced metric on the boundary of the convex set to include a gluing map at infinity which records how the asymptotic geometry of the two surfaces compares near points of the limiting Jordan curve. Restricting further to the case in which the induced metrics on the two bounding surfaces have constant curvature K∈[−1,0) and the Jordan curve at infinity is a quasicircle, the gluing map is naturally a quasisymmetric homeomorphism of the circle. The main result is that for each value of K, every quasisymmetric map is achieved as the gluing map at infinity along some quasicircle. We also prove analogous results in the setting of three-dimensional anti de Sitter geometry. Our results may be viewed as universal versions of the conjectures of Thurston and Mess about prescribing the induced metric on the boundary of the convex core of quasifuchsian hyperbolic manifolds and globally hyperbolic anti de Sitter spacetimes. [less ▲]

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See detailScalable Cell-Free Massive MIMO Systems: Impact of Hardware Impairments
Papazafeiropoulos, Anastasios; Björnson, Emil; Kourtessis, Pandelis et al

in IEEE Transactions on Vehicular Technology (2021), 70(10), 9701-9715

Scalable cell-free CF (SCF) massive multiple-input-multiple-output (mMIMO) systems is a promising technology to cover the demands for higher data rates and increasing number of users in fifth generation ... [more ▼]

Scalable cell-free CF (SCF) massive multiple-input-multiple-output (mMIMO) systems is a promising technology to cover the demands for higher data rates and increasing number of users in fifth generation (5G) networks and beyond. According to this concept, a large number of distributed access points (APs) communicates with the users in the network by means of joint coherent transmission while facing the main challenges against standard CF mMIMO systems being their high fronthaul load and computational complexity. Given that the cost-efficient deployment of such large networks requires low-cost transceivers being prone to unavoidable hardware imperfections, in this work, we focus on their impact on the advantageous SCF mMIMO systems by means of a general model accounting for both additive and multiplicative hardware impairments (HWIs). Notably, the scalability, depending on the time-variant characteristics of the network, is clearly affected by means of HWIs being time-varying. There is no other work in the literature studying the phase noise (PN) in CF mMIMO systems or in general any HWIs in SCF mMIMO systems. Hence, we derive upper and lower bounds on the uplink capacity accounting for HWIs. Especially, the lower bound is derived in closed-form by means of the theory of deterministic equivalents (DEs) and after obtaining the optimal hardware-aware (HA) partial minimum mean-squared error (PMMSE) combiner. Among the interesting findings, we observe that separate local oscillators (SLOs) outperform a common LO (CLO) architecture, and the additive transmit distortion degrades more the performance than the receive distortion. [less ▲]

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See detailMotives, Supporting Activities, and Selection Criteria of Social Impact Incubators: An Experimental Conjoint Study
Hirschmann, Mirko UL; Moritz, Alexandra; Block, Jörn

in Nonprofit and Voluntary Sector Quarterly (2021), 51(5), 1095-1133

Social impact incubators (SIIs) are a new type of incubator that support social enterprises (SEs) in their early business stages to foster and develop their hybrid objectives. However, research on SIIs is ... [more ▼]

Social impact incubators (SIIs) are a new type of incubator that support social enterprises (SEs) in their early business stages to foster and develop their hybrid objectives. However, research on SIIs is still scarce, and little is known about SIIs’ motives, supporting activities, and selection criteria. In investigating 71 SII decision- makers, we find the societal duty motive stated as “most important,” while the financial motive is stated as “least important.” Furthermore, we identify the authenticity of the founding team and the importance of the societal problem addressed as SIIs’ most important selection criteria. However, significant heterogeneity exists within the group of SIIs with regard to their selection criteria. In particular, SIIs with strong innovation and societal duty motives stand out and differ in their SE selection criteria from other SIIs. Our results extend prior research on SIIs and contribute to the discussion on the selection criteria of SE supporters. [less ▲]

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See detailLe juge est tenu d'appliquer la règle de conflit de lois, même statuant en référé
Cuniberti, Gilles UL

in Revue Critique de Droit International Privé (2021), (2), 435

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See detailELIXIR and Toxicology: a community in development
Martens, Marvin; Stierum, Rob; Schymanski, Emma UL et al

in F1000Research (2021), 10

Toxicology has been an active research field for many decades, with academic, industrial and government involvement. Modern omics and computational approaches are changing the field, from merely disease ... [more ▼]

Toxicology has been an active research field for many decades, with academic, industrial and government involvement. Modern omics and computational approaches are changing the field, from merely disease-specific observational models into target-specific predictive models. Traditionally, toxicology has strong links with other fields such as biology, chemistry, pharmacology and medicine. With the rise of synthetic and new engineered materials, alongside ongoing prioritisation needs in chemical risk assessment for existing chemicals, early predictive evaluations are becoming of utmost importance to both scientific and regulatory purposes. ELIXIR is an intergovernmental organisation that brings together life science resources from across Europe. To coordinate the linkage of various life science efforts around modern predictive toxicology, the establishment of a new ELIXIR Community is seen as instrumental. In the past few years, joint efforts, building on incidental overlap, have been piloted in the context of ELIXIR. For example, the EU-ToxRisk, diXa, HeCaToS, transQST, and the nanotoxicology community have worked with the ELIXIR TeSS, Bioschemas, and Compute Platforms and activities. In 2018, a core group of interested parties wrote a proposal, outlining a sketch of what this new ELIXIR Toxicology Community would look like. A recent workshop (held September 30th to October 1st, 2020) extended this into an ELIXIR Toxicology roadmap and a shortlist of limited investment-high gain collaborations to give body to this new community. This Whitepaper outlines the results of these efforts and defines our vision of the ELIXIR Toxicology Community and how it complements other ELIXIR activities. [less ▲]

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See detailCharacterizing autonomous Maxwell demons
Freitas, Nahuel; Esposito, Massimiliano UL

in Physical Review. E. (2021), 103(3), 032118

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See detailApproximation of Fractional Local Times: Zero Energy and Derivatives
Jaramillo Gil, Arturo UL; Nourdin, Ivan UL; Peccati, Giovanni UL

in Annals of Applied Probability (2021), In press

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See detailIntegrated likelihood based inference for nonlinear panel data models with unobserved effects
Schumann, Martin; Severini, Thomas A.; Tripathi, Gautam UL

in Journal of Econometrics (2021), 223

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See detailWhich criteria matter when impact investors screen social enterprises?
Block, Jörn; Hirschmann, Mirko UL; Fisch, Christian UL

in Journal of Corporate Finance (2021), 66

Impact investors pursue both financial and social goals and have become an important source of funding for social enterprises. Our study assesses impact investor criteria when screening social enterprises ... [more ▼]

Impact investors pursue both financial and social goals and have become an important source of funding for social enterprises. Our study assesses impact investor criteria when screening social enterprises. Applying an experimental conjoint analysis to a sample of 179 impact investors, we find that the three most important criteria are the authenticity of the founding team, the importance of the societal problem targeted by the venture, and the venture’s financial sustainability. We then compare the importance of these screening criteria across different types of impact investors (i.e., donors, equity investors, and debt investors). We find that donors pay more attention to the importance of the societal problem and less attention to financial sustainability than do equity and debt investors. Additionally, equity investors place a higher value on the largescale implementation of the social project than do debt investors. We contribute to the nascent literature on impact investing by documenting how impact investors make investment decisions and by providing a nuanced view of different investor types active in this novel market. Practical implications exist for both impact investors and social enterprises. [less ▲]

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See detailFlorence Descamps, Archiver la mémoire. De l’histoire orale au patrimoine immatériel Paris, Éd. de l'EHESS, 2019, 241 pages
Schafer, Valerie UL

in Questions de Communication (2021), 38

Recension de l'ouvrage de Florence Descamps, Archiver la mémoire. De l’histoire orale au patrimoine immatériel, Paris, Éd. de l'EHESS, 2019, 241 pages

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See detailL’exception d’illégalité des actes administratifs individuels devant le juge judiciaire à l’épreuve du droit processuel
Menetrey, Séverine UL; Bolard, Vincent

in Pasicrisie Luxembourgeoise: Recueil Trimestriel de la Jurisprudence Luxembourgeoise (2021)

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See detailPredicting correlated outcomes from molecular data
Rauschenberger, Armin UL; Glaab, Enrico UL

in Bioinformatics (2021), 37(21), 38893895

Motivation: Multivariate (multi-target) regression has the potential to outperform univariate (single-target) regression at predicting correlated outcomes, which frequently occur in biomedical and ... [more ▼]

Motivation: Multivariate (multi-target) regression has the potential to outperform univariate (single-target) regression at predicting correlated outcomes, which frequently occur in biomedical and clinical research. Here we implement multivariate lasso and ridge regression using stacked generalisation. Results: Our flexible approach leads to predictive and interpretable models in high-dimensional settings, with a single estimate for each input-output effect. In the simulation, we compare the predictive performance of several state-of-the-art methods for multivariate regression. In the application, we use clinical and genomic data to predict multiple motor and non-motor symptoms in Parkinson’s disease patients. We conclude that stacked multivariate regression, with our adaptations, is a competitive method for predicting correlated outcomes. Availability and Implementation: The R package joinet is available on GitHub (https://github.com/rauschenberger/joinet) and CRAN (https://CRAN.R-project.org/package=joinet). [less ▲]

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See detailMulti-informant assessment of bullying in Austrian schools
Paljakka, Antonia; Schwab, Susanne; Zurbriggen, Carmen UL

in Frontiers in Education (2021), 6(712318),

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See detailA First Look at Android Applications in Google Play related to Covid-19
Samhi, Jordan UL; Allix, Kevin UL; Bissyande, Tegawendé François D Assise UL et al

in Empirical Software Engineering (2021)

Due to the convenience of access-on-demand to information and business solutions, mobile apps have become an important asset in the digital world. In the context of the Covid-19 pandemic, app developers ... [more ▼]

Due to the convenience of access-on-demand to information and business solutions, mobile apps have become an important asset in the digital world. In the context of the Covid-19 pandemic, app developers have joined the response effort in various ways by releasing apps that target different user bases (e.g., all citizens or journalists), offer different services (e.g., location tracking or diagnostic-aid), provide generic or specialized information, etc. While many apps have raised some concerns by spreading misinformation or even malware, the literature does not yet provide a clear landscape of the different apps that were developed. In this study, we focus on the Android ecosystem and investigate Covid-related Android apps. In a best-effort scenario, we attempt to systematically identify all relevant apps and study their characteristics with the objective to provide a First taxonomy of Covid related apps, broadening the relevance beyond the implementation of contact tracing. Overall, our study yields a number of empirical insights that contribute to enlarge the knowledge on Covid-related apps: (1) Developer communities contributed rapidly to the Covid-19, with dedicated apps released as early as January 2020; (2) Covid-related apps deliver digital tools to users (e.g., health diaries), serve to broadcast information to users (e.g., spread statistics), and collect data from users (e.g., for tracing); (3) Covid-related apps are less complex than standard apps; (4) they generally do not seem to leak sensitive data; (5) in the majority of cases, Covid-related apps are released by entities with past experience on the market, mostly official government entities or public health organizations. [less ▲]

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See detailBook review: Saintetés politiques du IXe au XVIIIe siècle: Autour de la Lotharingie-Dorsale catholique
Dubuisson, Bastien UL

in Moyen Age: Revue d'Histoire et de Philologie (2021), 127(1),

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See detailExpediting in Two-Echelon Spare Parts Inventory Systems
Drent, Melvin UL; Arts, Joachim UL

in Manufacturing and Service Operations Management (2021), 23(6), 1431-1448

We consider a two-echelon spare parts inventory system consisting of one central warehouse and multiple local warehouses. Each warehouse keeps multiple types of repairable parts to maintain several types ... [more ▼]

We consider a two-echelon spare parts inventory system consisting of one central warehouse and multiple local warehouses. Each warehouse keeps multiple types of repairable parts to maintain several types of capital goods. The local warehouses face Poisson demand and are replenished by the central warehouse. We assume that unsatisfied demand is backordered at all warehouses. Furthermore, we assume deterministic lead times for the replenishments of the local warehouses. The repair shop at the central warehouse has two repair options for each repairable part: a regular repair option and an expedited repair option. Both repair options have stochastic lead times. Irrespective of the repair option, each repairable part uses a certain resource for its repair. Assuming a dual-index policy at the central warehouse and base stock control at the local warehouses, an exact and efficient evaluation procedure for a given control policy is formulated. To find an optimal control policy, we look at the minimization of total investment costs under constraints on both the aggregate mean number of backorders per capital good type and the aggregate mean fraction of repairs that are expedited per repair resource. For this non-linear non-convex integer programming problem, we develop a greedy heuristic and an algorithm based on decomposition and column generation. Both solution approaches perform very well with average optimality gaps of 1.56 and 0.23 percent, respectively, across a large test bed of industrial size. Based on a case study at Netherlands Railways, we show how managers can significantly reduce the investment in repairable spare parts when dynamic repair policies are leveraged to prioritize repair of parts whose inventory is critically low. [less ▲]

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See detailResponsible Vulnerability Disclosure under the NIS 2.0 Proposal
Schmitz, Sandra UL; Schiffner, Stefan UL

in Journal of Intellectual Property, Information Technology and E-Commerce Law (2021), 12(5),

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See detailHow photoluminescence can predict the efficiency of solar cells
Siebentritt, Susanne UL; Weiss, Thomas UL; Sood, Mohit UL et al

in JPhys Materials (2021)

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See detailAn Exploratory Study of COVID-19 Information on Twitter in the Greater Region
Chen, Ninghan UL; Zhong, Zhiqiang UL; Pang, Jun UL

in Big Data and Cognitive Computing (2021), 5(1), 5

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See detailPredictive and interpretable models via the stacked elastic net
Rauschenberger, Armin UL; Glaab, Enrico UL; van de Wiel, Mark

in Bioinformatics (2021), 37(14), 20122016

Motivation: Machine learning in the biomedical sciences should ideally provide predictive and interpretable models. When predicting outcomes from clinical or molecular features, applied researchers often ... [more ▼]

Motivation: Machine learning in the biomedical sciences should ideally provide predictive and interpretable models. When predicting outcomes from clinical or molecular features, applied researchers often want to know which features have effects, whether these effects are positive or negative, and how strong these effects are. Regression analysis includes this information in the coefficients but typically renders less predictive models than more advanced machine learning techniques. Results: Here we propose an interpretable meta-learning approach for high-dimensional regression. The elastic net provides a compromise between estimating weak effects for many features and strong effects for some features. It has a mixing parameter to weight between ridge and lasso regularisation. Instead of selecting one weighting by tuning, we combine multiple weightings by stacking. We do this in a way that increases predictivity without sacrificing interpretability. Availability and Implementation: The R package starnet is available on GitHub: https://github.com/rauschenberger/starnet. [less ▲]

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See detailEntre 'dette du sang' et 'military labour migration': les Luxembourgeois engagés dans la Légion étrangère (1831-1914)
Vecchiato, Sébastien; Kolnberger, Thomas UL

in Revue Historique des Armées (2021), 302

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See detailKilling Stubborn Mutants with Symbolic Execution
Titcheu Chekam, Thierry UL; Papadakis, Mike UL; Cordy, Maxime UL et al

in ACM Transactions on Software Engineering and Methodology (2021), 30(2), 191--1923

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See detailTarzan and chain: exploring the ICO jungle and evaluating design archetypes
Bachmann, Nina M.; Drasch, Benedict; Fridgen, Gilbert UL et al

in Electronic Markets (2021)

The phenomenon of a blockchain use case called initial coin offering (ICO) is drawing increasing attention as a novel funding mechanism. ICO is a crowdfunding type that utilizes blockchain tokens to allow ... [more ▼]

The phenomenon of a blockchain use case called initial coin offering (ICO) is drawing increasing attention as a novel funding mechanism. ICO is a crowdfunding type that utilizes blockchain tokens to allow for truly peer-to-peer investments. Although more than \$7bn has been raised globally via ICOs as at 2018, the concept and its implications are not yet entirely understood. The research lags behind in providing in-depth analyses of ICO designs and their long-term success. We address this research gap by developing an ICO taxonomy, applying a cluster analysis to identify prevailing ICO archetypes, and providing an outlook on the token value market performance for individual archetypes. We identify five ICO design archetypes and display their secondary market development from both a short-term and a long-term perspective. We contribute to an in-depth understanding of ICOs and their implications. Further, we offer practitioners tangible design and success indications for future ICOs. [less ▲]

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See detailUnderstanding Electoral Violence through Complex Textual Data: OSCE Monitoring Missions in Different Contexts
Mochtak, Michal UL

in Studies in Conflict and Terrorism (2021), 44(8), 646-667

The paper analyses more than 20 years of evidence on electoral violence as reported by OSCE monitoring mission reports. It identifies prevailing trends of electoral violence in the OSCE participating ... [more ▼]

The paper analyses more than 20 years of evidence on electoral violence as reported by OSCE monitoring mission reports. It identifies prevailing trends of electoral violence in the OSCE participating states in order to better understand how the phenomenon is understood and framed by leading international monitoring organizations in the region. The analysis utilizes a unique approach based on automated content analysis employing counting algorithms and latent semantic indexing. The results of the analysis show how electoral violence differs throughout the region while highlighting the qualitative variations in regional patterns of the reported incidents of election-related violence. [less ▲]

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See detailThe mainstreaming of EU affairs: a challenge for parliamentary administrations
Högenauer, Anna-Lena UL

in Journal of Legislative Studies (2021)

Past research has identified a trend towards the bureaucratisation of the parliamentary scrutiny of EU affairs. It highlighted the role of parliamentary staff in selecting relevant issues, advising on ... [more ▼]

Past research has identified a trend towards the bureaucratisation of the parliamentary scrutiny of EU affairs. It highlighted the role of parliamentary staff in selecting relevant issues, advising on subsidiarity and procedures and drafting of opinions and resolutions. However, while administrators clearly play a role, less is known about the Europeanisation of parliamentary administrations. In particular, the impact of the growing Europeanisation of sectoral committees on the Europeanisation of staff is unexplored. This article presents data from a survey of parliamentary administrations in 2021, which shows that the Europeanisation of parliamentary administrations extends beyond the main units in charge of EU affairs and affects sectoral committee staff more generally. At the same time, it reveals that the organisation of staff support for EU affairs varies greatly across the national parliaments depending on the organisation of the political scrutiny, on administrative capacity and on pre-existing units. [less ▲]

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See detailData-driven Precoded MIMO Detection Robust to Channel Estimation Errors
Mayouche, Abderrahmane UL; Alves Martins, Wallace UL; Chatzinotas, Symeon UL et al

in IEEE Open Journal of the Communications Society (2021)

We study the problem of symbol detection in downlink coded multiple-input multiple-output (MIMO) systems with precoding and without the explicit knowledge of the channel-state information (CSI) at the ... [more ▼]

We study the problem of symbol detection in downlink coded multiple-input multiple-output (MIMO) systems with precoding and without the explicit knowledge of the channel-state information (CSI) at the receiver. In this context, we investigate the impact of imperfect CSI at the transmitter (CSIT) on the detection performance. We first model the CSIT degradation based on channel estimation errors to investigate its impact on the detection performance at the receiver. To mitigate the effect of CSIT deterioration at the latter, we propose learning based techniques for hard and soft detection that use downlink precoded pilot symbols as training data. We note that these pilots are originally intended for signal-to-interference-plus-noise ratio (SINR) estimation. We validate the approach by proposing a lightweight implementation that is suitable for online training using several state-of-the-art classifiers. We compare the bit error rate (BER) and the runtime complexity of the proposed approaches where we achieve superior detection performance in harsh channel conditions while maintaining low computational requirements. Specifically, numerical results show that severe CSIT degradation impedes the correct detection when a conventional detector is used. However, the proposed learning-based detectors can achieve good detection performance even under severe CSIT deterioration, and can yield 4-8 dB power gain for BER values lower than 10-4 when compared to the classic linear minimum mean square error (MMSE) detector. [less ▲]

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See detailHyperbolic dispersion metasurfaces for molecular biosensing
Palermo, Giovanna; Sreekanth, Kandammathe Valiyaveedu; Maccaferri, Nicolò UL et al

in Nanophotonics (2021), 10(1), 295314

Sensor technology has become increasingly crucial in medical research and clinical diagnostics to directly detect small numbers of low-molecular-weight biomolecules relevant for lethal diseases. In recent ... [more ▼]

Sensor technology has become increasingly crucial in medical research and clinical diagnostics to directly detect small numbers of low-molecular-weight biomolecules relevant for lethal diseases. In recent years, various technologies have been developed, a number of them becoming core label-free technologies for detection of cancer biomarkers and viruses. However, to radically improve early disease diagnostics, tracking of disease progression and evaluation of treatments, today’s biosensing techniques still require a radical innovation to deliver high sensitivity, specificity, diffusion-limited transport, and accuracy for both nucleic acids and proteins. In this review, we discuss both scientific and technological aspects of hyperbolic dispersion metasurfaces for molecular biosensing. Optical metasurfaces have offered the tantalizing opportunity to engineer wavefronts while its intrinsic nanoscale patterns promote tremendous molecular interactions and selective binding. Hyperbolic dispersion metasurfaces support high-k modes that proved to be extremely sensitive to minute concentrations of ultralow-molecular-weight proteins and nucleic acids. [less ▲]

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See detailAbility of 6- to 7-year-old children to choose the control of variables strategy.
Reuter, Timo; Weber, Anke Maria UL; Flottmann, Julia et al

in Journal of Cognitive Education and Psychology (2021), 20(2), 70-82

Planning and conducting experiments require the application of the control of vari- ables strategy (CVS). Research indicates that older children can learn the CVS by engag- ing in guided-inquiry ... [more ▼]

Planning and conducting experiments require the application of the control of vari- ables strategy (CVS). Research indicates that older children can learn the CVS by engag- ing in guided-inquiry activities. It has not been studied yet whether this is also the case for children as young as 6- to 7-years. 145 children aged 6–7 years participated in a study with a pre-, post-, follow-up test design comprising two experimental groups (EG 1, EG 2) and a control group (CG). EG 1 and EG 2 received a structured-inquiry lesson, thus, carrying out six predetermined experiments with an adult’s implicit guid- ance. While the lesson in EG 1 was in the same physics domain as the test’s phys- ics domain, in EG 2 the lesson’s physics domain differed from the test’s domain. The CG did not experiment. We assessed children’s CVS ability with a multiple-choice test. Results suggested that some children in the EGs learned the CVS, whereas in the CG, no learning effects occurred. However, most children in the EGs did not gain in the CVS ability, indicating that the small dose of six experiments in one physics domain was insufficient for learning the CVS. [less ▲]

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See detailAlgorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding
Peric, Zoran; Denic, Bojan; Despotovic, Vladimir UL

in IET Signal Processing (2021), 15(6), 410-423

A novel 2-bit adaptive delta modulation (ADM) algorithm is presented based on uniform scalar quantization and fractional linear prediction (FLP) for encoding the signals modelled by a Gaussian probability ... [more ▼]

A novel 2-bit adaptive delta modulation (ADM) algorithm is presented based on uniform scalar quantization and fractional linear prediction (FLP) for encoding the signals modelled by a Gaussian probability density function. The study focusses on two major areas: realization of a 2-bit adaptive quantizer based on Q-function approximation that significantly facilitates quantizer design; and implementation of a recently introduced FLP approach with the memory of two samples, which replaces the first-order linear prediction used in standard ADM algorithms and enables improved performance without increasing transmission costs. It furthermore represents the first implementation of FLP in signal encoding, therefore confirming its applicability in a real signal-processing scenario. Based on the performance analysis conducted on a real speech signal, the proposed ADM algorithm with FLP is demonstrated to outperform other 2-bit ADM baselines by a large margin for the gain in signal-to-noise ratio achieved over a wide dynamic range of input signals. The results of this research indicate that ADM with adaptive quantization based on Q-function approximation and adaptive FLP represents a promising solution for encoding/compression of correlated time-varying signals following the Gaussian distribution. [less ▲]

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See detailConstitutive Powers of Executive Bodies: a Functional Analysis of the Single Resolution Board
Mendes, Joana UL

in Modern Law Review (2021), 84(6), 13301359

Executive bodies can acquire constitutive powers,even if subject to detailed substantive strictures. Constitutive powers give executive bodies the possibility to transform normative understandings of the ... [more ▼]

Executive bodies can acquire constitutive powers,even if subject to detailed substantive strictures. Constitutive powers give executive bodies the possibility to transform normative understandings of the meaning of norms and of the goals of public action into legal forms. These bodies thus engage in a jurisgenerative process that enables them to progressively delimit their legal mandates in reaction to socio-economic and political realities. The article illustrates this argument by examining the power of the EU Single Resolution Board (SRB) to determine the resolution of a bank in crisis. It concludes that, in view of constitutive powers, the normative demands that the EU legal system places on executive and administrative bodies must be reconsidered. On that basis and to that effect, mechanisms of accountability should be reconceptualised and reoriented. [less ▲]

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See detailReturn migration and self-employment: is there a 'jack-of-all-trades' effect?
Mahe, Clotilde UL

in Oxford Economic Papers (2021)

With reference to Lazear’s jack-of-all-trades hypothesis, I examine whether migrants are more likely to be self-employed upon return because of the diverse work experience they gained abroad. The ... [more ▼]

With reference to Lazear’s jack-of-all-trades hypothesis, I examine whether migrants are more likely to be self-employed upon return because of the diverse work experience they gained abroad. The endogeneity between migration, human capital investment, and self-employment is addressed by exploiting exogenous cohort and regional variation in the decision to migrate in the context of Egypt, and parental labour market information. Return migrants’ higher propensity to be self-employed is shown to proceed from participating in significantly more occupations over their work history than non-migrants. In line with Lazear’s framework, estimates confirm that entrepreneurship can be learnt, and that exposure to multiple occupations matters for entrepreneurship. [less ▲]

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See detailVortical flow structures induced by red blood cells in capillaries.
Yaya, François; Römer, Johannes; Guckenberger, Achim et al

in Microcirculation (New York, N.Y. : 1994) (2021), 28(5), 12693

OBJECTIVE: Knowledge about the flow field of the plasma around the red blood cells in capillary flow is important for a physical understanding of blood flow and the transport of micro- and nanoparticles ... [more ▼]

OBJECTIVE: Knowledge about the flow field of the plasma around the red blood cells in capillary flow is important for a physical understanding of blood flow and the transport of micro- and nanoparticles and molecules in the flowing plasma. We conducted an experimental study on the flow field around red blood cells in capillary flow that is complemented by simulations of vortical flow between red blood cells. METHODS: Red blood cells were injected in a 10 × 12 µm rectangular microchannel at a low hematocrit, and the flow field around one or two cells was captured by a high-speed camera that tracked 250 nm nanoparticles in the flow field, acting as tracers. RESULTS: While the flow field around a steady "croissant" shape is found to be similar to that of a rigid sphere, the flow field around a "slipper" shape exhibits a small vortex at the rear of the red blood cell. Even more pronounced are vortex-like structures observed in the central region between two neighboring croissants. CONCLUSIONS: The rotation frequency of the vortices is to a good approximation, inversely proportional to the distance between the cells. Our experimental data are complemented by numerical simulations. [less ▲]

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See detailDevelopment and Validation of the Revised Multicultural Ideology Scale in Germany and Luxembourg
Stogianni, Maria UL; Berry, John; Grigoryev, Dmitry et al

in Psychological Reports (2021)

A revised version of the Multicultural Ideology Scale (rMCI; Berry 2020; Berry et al., 1977) is currently being developed to measure endorsement of multiculturalism in different cultural contexts. The ... [more ▼]

A revised version of the Multicultural Ideology Scale (rMCI; Berry 2020; Berry et al., 1977) is currently being developed to measure endorsement of multiculturalism in different cultural contexts. The current study, which is part of this cross-cultural research project, presents the first assessment of the rMCI scale in the German language. The measure aims to cover several attitudinal dimensions of multiculturalism, relevant to the integration of different ethnocultural groups: Cultural Maintenance, Equity/Inclusion, Social interaction, Essentialistic Boundaries, Extent of Differences, and Consequences of Diversity. Two independent datasets were acquired from Germany (N = 382) and Luxembourg (N = 148) to estimate the factor structure of the rMCI using different confirmatory factor analysis techniques. The findings suggest that a 4-factor solution, including Cultural Maintenance, Equity/Inclusion, Social interaction, and Consequences of Diversity, was the best fit for the data. Most of these subscales demonstrated adequate psychometric properties (internal consistency, convergent, and discriminant validity). The 4-factor model of the rMCI was partially invariant across the two ethnic groups and full measurement invariance was established across gender. [less ▲]

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See detailLiving and Learning in Times of Corona
Badder, Anastasia UL; Zhang, Yimin UL; Olmo, Mara et al

in The Ends of Humanities (2021)

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See detailHistory of Medicine: European perspectives
Majerus, Benoît UL

in European Journal for the History of Medicine and Health (2021), 78(1), 5--14

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See detailPerceived Ageism During the Covid-19-Crisis is Longitudinally Related to Subjective Perceptions of Aging
Kornadt, Anna Elena UL; Albert, Isabelle UL; Hoffmann, Martine et al

in Frontiers in Public Health (2021)

Ageism in media and society has increased sharply during the Covid-19-crisis, with expected negative consequences for the health and well-being of older adults. The current study investigates whether ... [more ▼]

Ageism in media and society has increased sharply during the Covid-19-crisis, with expected negative consequences for the health and well-being of older adults. The current study investigates whether perceived ageism during the crisis longitudinally affects how people perceive their own aging. In June 2020, N = 611 older adults from Luxembourg [aged 60 – 98 years, Mage(SD) = 69.92(6.97)] participated in a survey on their perception of the crisis. In October 2020, N = 523 participated in a second measurement occasion. Participants reported on perceived ageism during the crisis in different domains, their self-perceptions of aging and subjective age. In latent longitudinal regression models, we predicted views on aging at T2 with perceived ageism at T1, while controlling for baseline views on aging and covariates. Perceived ageism at T1 increased self-perceptions of aging as social loss and yielded a trend for physical decline, while there were no effects on subjective age and self-perceptions of aging as continued growth. Views on aging are powerful predictors of well-being and health outcomes in later life. Our data suggest that being the target of ageism during the crisis negatively affects older adults’ self-perceptions of aging and this impact may be felt beyond the current crisis. [less ▲]

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See detailCOVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.
Ostaszewski, Marek UL; Niarakis, Anna; Mazein, Alexander UL et al

in Molecular systems biology (2021), 17(10), 10387

We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets ... [more ▼]

We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large-scale community effort to build an open access, interoperable and computable repository of COVID-19 molecular mechanisms. The COVID-19 Disease Map (C19DMap) is a graphical, interactive representation of disease-relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph-based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS-CoV-2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID-19 or similar pandemics in the long-term perspective. [less ▲]

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See detailLa proposta di direttiva sui salari minimi adeguati nella prospettiva di contrasto all’in-work poverty
Ratti, Luca UL

in Diritto delle Relazioni Industriali (2021)

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See detailFAIR-ifying the Exposome Journal: Templates for Chemical Structures and Transformations
Schymanski, Emma UL; Bolton, Evan E.

in Exposome (2021)

Abstract The exposome, the totality of lifetime exposures, is a new and highly complex paradigm for health and disease. Tackling this challenge requires an effort well beyond single individuals or ... [more ▼]

Abstract The exposome, the totality of lifetime exposures, is a new and highly complex paradigm for health and disease. Tackling this challenge requires an effort well beyond single individuals or laboratories, where every piece of the puzzle will be vital. The launch of this new Exposome journal coincides with the evolution of the exposome through its teenage years and into a growing maturity in an increasingly open and FAIR (findable, accessible, interoperable, reusable) world. This letter discusses how both authors and the Exposome journal alike can help increase the FAIRness of the chemical structural information and the associated metadata in the journal, aiming to capture more details about the chemistry of exposomics. The proposed chemical structure template can serve as an interoperable supplementary format that is made accessible through the website and more findable by linking the DOI of this data file to the article DOI metadata, supporting further reuse. An additional Transformations template provides authors with a means to connect predecessor (parent, substrate) molecules to successor (transformation product, metabolite) molecules and thus provide FAIR connections between observed (i.e., experimental) chemical exposures and biological responses, to help improve the public knowledgebase on exposome-related transformations. These connections are vital to extend current biochemical knowledge and to fulfil the current Exposome definition of “the cumulative measure of environmental influences and associated biological responses throughout the lifespan including exposures from the environment, diet, behaviour, and endogenous processes”. [less ▲]

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See detailHarmonic amplitude summation for frequency-tagging analysis
Retter, Talia UL; Rossion, Bruno; Schiltz, Christine UL

in Journal of Cognitive Neuroscience (2021)

In the approach of frequency tagging, stimuli that are presented periodically generate periodic responses of the brain. Following a transformation into the frequency domain, the brain’s response is often ... [more ▼]

In the approach of frequency tagging, stimuli that are presented periodically generate periodic responses of the brain. Following a transformation into the frequency domain, the brain’s response is often evident at the frequency of stimulation, F, and its higher harmonics (2F, 3F, etc.). This approach is increasingly used in neuroscience, as it affords objective measures to characterize brain function. However, whether these specific harmonic frequency responses should be combined for analysis, and if so, how, remains an outstanding issue. In most studies, higher harmonic responses have not been described or were described only individually; in other studies, harmonics have been combined with various approaches, e.g., averaging and root mean squared summation. A rationale for these approaches in the context of frequency-based analysis principles, and understanding of how they relate to the brain’s response amplitudes in the time domain, has been missing. Here, with these elements addressed, the summation of (baseline-corrected) harmonic amplitude is recommended. [less ▲]

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See detailTest Selection for Deep Learning Systems
Ma, Wei UL; Papadakis, Mike UL; Tsakmalis, Anestis et al

in ACM Transactions on Software Engineering and Methodology (2021), 30(2), 131--1322

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See detailVarying stimulus duration reveals consistent neural activity and behavior for human face individuation
Retter, Talia UL; Jiang, Fang; Webster, Michael A. et al

in Neuroscience (2021), 472

Establishing consistent relationships between neural activity and behavior is a challenge in human cognitive neuroscience research. We addressed this issue using variable time constraints in an oddball ... [more ▼]

Establishing consistent relationships between neural activity and behavior is a challenge in human cognitive neuroscience research. We addressed this issue using variable time constraints in an oddball frequency-sweep design for visual discrimination of complex images (face exemplars). Sixteen participants viewed sequences of ascending presentation durations, from 25 to 333 ms (40–3 Hz stimulation rate) while their electroencephalogram (EEG) was recorded. Throughout each sequence, the same unfamiliar face picture was repeated with variable size and luminance changes while different unfamiliar facial identities appeared every 1 s (1 Hz). A neural face individuation response, tagged at 1 Hz and its unique harmonics, emerged over the occipito-temporal cortex at 50 ms stimulus duration (25–100 ms across individuals), with an optimal response reached at 170 ms stimulus duration. In a subsequent experiment, identity changes appeared non-periodically within fixed-frequency sequences while the same participants performed an explicit face individuation task. The behavioral face individuation response also emerged at 50 ms presentation time, and behavioral accuracy correlated with individual participants’ neural response amplitude in a weighted middle stimulus duration range (50–125 ms). Moreover, the latency of the neural response peaking between 180 and 200 ms correlated strongly with individuals’ behavioral accuracy in this middle duration range, as measured independently. These observations point to the minimal (50 ms) and optimal (170 ms) stimulus durations for human face individuation and provide novel evidence that inter-individual differences in the magnitude and latency of early, high-level neural responses are predictive of behavioral differences in performance at this function. [less ▲]

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See detailComparing old maps with cartometric methods
Solchenbach, Karl UL

in e-Perimetron (2021)

The planimetric accuracy of old maps can be calculated using cartometric methods like Helmert transformations. As the choice of control points for these transformations is somewhat arbitrary, this may ... [more ▼]

The planimetric accuracy of old maps can be calculated using cartometric methods like Helmert transformations. As the choice of control points for these transformations is somewhat arbitrary, this may cause stochastic variations in the results. This paper addresses these stochastic variations and proposes to apply Bayesian data analysis methods to quantify the uncertainty of the cartometric calculations. The paper shows that the Bayesian data analysis is consistent with the deterministic calculations, and it provides safe statistical bounds for the results. [less ▲]

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See detailPost-crisis developments in young adults’ housing wealth
Dewilde, Caroline; Flynn, Lindsay UL

in Journal of European Social Policy (2021), 31(5), 580-596

How has housing wealth inequality changed for young-adult households in the post-financial crisis period, and what is driving such change? We chart a path for subsequent studies by analysing the ... [more ▼]

How has housing wealth inequality changed for young-adult households in the post-financial crisis period, and what is driving such change? We chart a path for subsequent studies by analysing the previously unexamined post-crisis housing wealth profile of young adults via different angles and using multiple inequality measures. Using household micro-data for 11 European countries (Household Finance and Consumption Survey, 2010–2017) and the United States (Survey of Consumer Finances, 2010–2016), we find that the accumulation of housing assets for 22–44 year olds is unevenly concentrated among high-income homeowners, over and above what would be expected given the well-known decline in homeownership. We describe and assess several potential drivers for these wealth profile changes, finding that the current explanations offered in the literature do not adequately account for the unequal wealth profile of young people. We conclude that a mix of dynamics, including housing market volatility, housing market configurations leading to uneven capital gains and losses, and the increased social selectivity of homeownership intersect to shape the ways that young adults navigate the housing market in post-crisis times. [less ▲]

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