Last 7 days
Bookmark and Share    
Full Text
Peer Reviewed
See detailThe Minor Order of Homomorphisms via Natural Dualities
Poiger, Wolfgang UL; Teheux, Bruno UL

in Order: A Journal on the Theory of Ordered Sets and its Applications (2022)

We study the minor relation for algebra homomorphims in finitely generated quasivarieties that admit a logarithmic natural duality. We characterize the minor homomorphism posets of finite algebras in ... [more ▼]

We study the minor relation for algebra homomorphims in finitely generated quasivarieties that admit a logarithmic natural duality. We characterize the minor homomorphism posets of finite algebras in terms of disjoint unions of dual partition lattices and investigate reconstruction problems for homomorphisms. [less ▲]

Detailed reference viewed: 63 (10 UL)
Full Text
Peer Reviewed
See detailModel-based assessment of COVID-19 epidemic dynamics by wastewater analysis
Proverbio, Daniele UL; Kemp, Francoise UL; Magni, Stefano UL et al

in Science of the Total Environment (2022), 827

Continuous surveillance of COVID-19 diffusion remains crucial to control its diffusion and to anticipate infection waves. Detecting viral RNA load in wastewater samples has been suggested as an effective ... [more ▼]

Continuous surveillance of COVID-19 diffusion remains crucial to control its diffusion and to anticipate infection waves. Detecting viral RNA load in wastewater samples has been suggested as an effective approach for epidemic monitoring and the development of an effective warning system. However, its quantitative link to the epidemic status and the stages of outbreak is still elusive. Modelling is thus crucial to address these challenges. In this study, we present a novel mechanistic model-based approach to reconstruct the complete epidemic dynamics from SARS-CoV-2 viral load in wastewater. Our approach integrates noisy wastewater data and daily case numbers into a dynamical epidemiological model. As demonstrated for various regions and sampling protocols, it quantifies the case numbers, provides epidemic indicators and accurately infers future epidemic trends. Following its quantitative analysis, we also provide recommendations for wastewater data standards and for their use as warning indicators against new infection waves. In situations of reduced testing capacity, our modelling approach can enhance the surveillance of wastewater for early epidemic prediction and robust and cost-effective real-time monitoring of local COVID-19 dynamics. [less ▲]

Detailed reference viewed: 85 (12 UL)
Full Text
Peer Reviewed
See detailOn unavoidable families of meromorphic functions
Meyrath, Thierry UL

in Canadian Mathematical Bulletin (2022)

We prove several results on unavoidable families of meromorphic functions. For instance, we give new examples of families of cardinality three that are unavoidable with respect to the set of meromorphic ... [more ▼]

We prove several results on unavoidable families of meromorphic functions. For instance, we give new examples of families of cardinality three that are unavoidable with respect to the set of meromorphic functions on $\C$. We further obtain families consisting of less than three functions that are unavoidable with respect to certain subsets of meromorphic functions. In the other direction, we show that for every meromorphic function $f$, there exists an entire function that avoids $f$ on $\C$. [less ▲]

Detailed reference viewed: 76 (11 UL)
See detail„Das Schaufenster der Freiheit“ Aussicht und Urbanisierung in Batty Webers Abreisskalender in den 1920er Jahren
Millim, Anne-Marie UL

in Pauly, Michel (Ed.) Geschichte der Stadt Luxemburg in 100 Objekten (2022)

Detailed reference viewed: 37 (2 UL)
Full Text
Peer Reviewed
See detailThe generalized internal/external frame of reference model with academic self-concepts, interests, and anxieties in students from different language backgrounds
van der Westhuizen, Lindie UL; Arens, A. Katrin; Greiff, Samuel UL et al

in Contemporary Educational Psychology (2022)

Student motivation and affect play an important role in successful language learning. To investigate the formation of language learning motivation and affect, this study extended the generalized internal ... [more ▼]

Student motivation and affect play an important role in successful language learning. To investigate the formation of language learning motivation and affect, this study extended the generalized internal/external frame of reference (GI/E) model framework to multiple languages (German and French, along with math) and multiple motivational-affective outcomes (academic self-concept, interest, and anxiety). We examined whether social and dimensional comparisons play similar roles in the formation of students’ self-concepts, interests, and anxieties concerning different languages and whether dimensional comparisons result in contrast or assimilation effects. Moreover, we tested the generalizability of the GI/E model assumptions across students with different language backgrounds. Using a data set comprising virtually all ninth-grade students (N=6275; 48.0% female) from Luxembourg’s multilingual educational system, our findings indicated (1) clear contrast effects in the formation of self-concept and interest in math, German, and French, and (2) a combination of contrast, assimilation, and no effects in the formation of anxiety in math, German, and French. Using a subsample of 5837 students with valid language information (48.0% female), invariance tests demonstrated that the GI/E achievement–outcome relations operated equivalently across students from different home language backgrounds. [less ▲]

Detailed reference viewed: 65 (9 UL)
Full Text
Peer Reviewed
See detailRezensionen der Monographie von Kay-Peter Jankrift: Im Angesicht der „Pestilenz“. Seuchen in westfälischen und rheinischen Städten (1349–1600)
Uhrmacher, Martin UL

in Vierteljahrschrift für Sozial Und Wirtschaftsgeschichte VSWG (2022), 109(1), 116-117

Detailed reference viewed: 30 (2 UL)
Full Text
Peer Reviewed
See detailAn evaluation of the German teacher version of the Developmental Behaviour Checklist in children and adolescents with intellectual disability
Zurbriggen, Carmen UL; Müller, Christoph M.

in Journal of Intellectual and Developmental Disability (2022)

BACKGROUND The Developmental Behaviour Checklist (DBC) is an established, internationally used questionnaire for assessing behavioural and emotional problems among young people with developmental or ... [more ▼]

BACKGROUND The Developmental Behaviour Checklist (DBC) is an established, internationally used questionnaire for assessing behavioural and emotional problems among young people with developmental or intellectual disabilities (ID). The present study aims to evaluate the psychometric properties of its German teacher version (DBC-T). METHOD The German DBC-T was administered to 397 school staff members who reported twice on 1177 children and adolescents with ID over a period of 7–9 months. Data were analysed within an exploratory structural equation modelling framework. RESULTS Our results supported the five-factor structure of the DBC-T and found good reliability for all scales. Analyses on the relationship of DBC-T scores with students’ age, gender, and adaptive behaviour provided further evidence for the validity of the DBC-T. CONCLUSIONS Our study endorses the notion that the German DBC-T is an important instrument both for research and practice. Limitations and further directions are discussed. [less ▲]

Detailed reference viewed: 74 (0 UL)
Full Text
Peer Reviewed
See detailPrenatal exposure to endocrine disrupting chemicals is associated with altered DNA methylation in cord blood
Mattonet, Katharina; Nowack-Weyers, Nikola; Vogel, Vanessa et al

in Epigenetics (2022), 17(9), 935-952

Detailed reference viewed: 53 (4 UL)
Full Text
See detailZielkonflikte zwischen Lernen und Freizeit
Hofer, Manfred; Fries, Stefan; Grund, Axel UL

in Reinders, Heinz; Bergs-Winkels, Dagmar; Prochnow, Annette (Eds.) et al Empirische Bildungsforschung: Eine elementare Einführung (2022)

Häufig wollen junge Menschen lernen und gleichzeitig etwas anderes tun, das für sie wichtig ist. Sie müssen sich dann für eine der beiden Handlungen entscheiden. Es stellt sich die Frage, ob Anreize der ... [more ▼]

Häufig wollen junge Menschen lernen und gleichzeitig etwas anderes tun, das für sie wichtig ist. Sie müssen sich dann für eine der beiden Handlungen entscheiden. Es stellt sich die Frage, ob Anreize der nicht-gewählten Handlung die Ausübung der gewählten Lern- oder Freizeithandlung im Hinblick auf kognitive und motivationale Aspekte stören (motivationale Interferenz). Es wird auch nach Bedingungen und Folgen dieser Erscheinung gefragt und es werden Maßnahmen zur Minimierung von Zielkonflikten und zur Herstellung einer ausgewogenen Zeitverteilung auf Tätigkeiten in verschiedenen Lebensbereichen vorgeschlagen. [less ▲]

Detailed reference viewed: 60 (2 UL)
Full Text
Peer Reviewed
See detailLeveraging Equivariant Features for Absolute Pose Regression
Mohamed Ali, Mohamed Adel UL; Gaudilliere, Vincent UL; Ortiz Del Castillo, Miguel UL et al

in IEEE Conference on Computer Vision and Pattern Recognition. (2022)

Pose estimation enables vision-based systems to refer to their environment, supporting activities ranging from scene navigation to object manipulation. However, end-to-end approaches, that have achieved ... [more ▼]

Pose estimation enables vision-based systems to refer to their environment, supporting activities ranging from scene navigation to object manipulation. However, end-to-end approaches, that have achieved state-of-the-art performance in many perception tasks, are still unable to compete with 3D geometry-based methods in pose estimation. Indeed, absolute pose regression has been proven to be more related to image retrieval than to 3D structure. Our assumption is that statistical features learned by classical convolutional neural networks do not carry enough geometrical information for reliably solving this task. This paper studies the use of deep equivariant features for end-to-end pose regression. We further propose a translation and rotation equivariant Convolutional Neural Network whose architecture directly induces representations of camera motions into the feature space. In the context of absolute pose regression, this geometric property allows for implicitly augmenting the training data under a whole group of image plane-preserving transformations. Therefore, directly learning equivariant features efficiently compensates for learning intermediate representations that are indirectly equivariant yet data-intensive. Extensive experimental validation demonstrates that our lightweight model outperforms existing ones on standard datasets. [less ▲]

Detailed reference viewed: 68 (0 UL)
Full Text
Peer Reviewed
See detailEuropean Strategies against Money Laundering: A Critical Overview of Current and Future Enforcement
Allegrezza, Silvia UL

in Haentjiens, Matthias; Haentjiens, Rijnhard; Crijns, Jan (Eds.) Th e Enforcement of EU Financial Law (2022)

The Article describes the complexity of the EU anti-money laundering franework involving administrative and criminal law

Detailed reference viewed: 84 (14 UL)
Full Text
Peer Reviewed
See detailSetting out for new Shores! An explorative Analysis of Agency in Youth Employment Mobility
Skrobanek, Jan; Vysotskaya, Volha UL

in Journal of Education and Work (2022)

Based on biographical interviews from an intra-European youth mobility study in Luxembourg and Norway the article aims to contribute to the debate on how to understand and account for complexities of ... [more ▼]

Based on biographical interviews from an intra-European youth mobility study in Luxembourg and Norway the article aims to contribute to the debate on how to understand and account for complexities of agency in youth intra-European employment mobility. Critically reflecting and operationalising Emirbayer and Misches’s conceptualisation of agentic orientations in the field of intra-European employment mobility of young people, we a) explore the usefulness of researching agency from a relational perspective, we b) elaborate on how young mobile reflect their manoeuvring under perceived contingent moments and we c) augment our ken of the complex interlacement of habit, imagination and judgement with (contingent) employment mobility contexts and young people’s concrete employment mobility practices. Our results emphasise the importance of considering how differently agentic orientations interlace with contingent employment mobility contexts ranging from radical self-realisation, adaptive interplay of self-realisation and situational constraints and agentic orientations strongly bounded by situational constraints. In addition, the empirical analysis shows that some of the theoretical propositions of Emirbayer and Mische’s approach have to be revisited. [less ▲]

Detailed reference viewed: 45 (1 UL)
Full Text
Peer Reviewed
See detailInterference-aware Demand-based User Scheduling in Precoded High Throughput Satellite Systems
Jubba Honnaiah, Puneeth UL; Lagunas, Eva UL; Chatzinotas, Symeon UL et al

in IEEE Open Journal of Vehicular Technology (2022)

In recent years, dynamic traffic demand requisites have driven the satellite communication service providers to implement reconfigurable demand-driven features to align the delivered throughput with the ... [more ▼]

In recent years, dynamic traffic demand requisites have driven the satellite communication service providers to implement reconfigurable demand-driven features to align the delivered throughput with the temporal and geographical variations of the traffic demand. Also, in current interference-limited High Throughput Satellite (HTS) systems, the resulting inter-beam co-channel interference can be mitigated by carefully performing precoding and user scheduling. Unfortunately, the conventional user scheduling algorithms fail to provide demand satisfaction for dynamic traffic demand requisites. Hence, in this paper, we focus on the user scheduling design for precoded satellite systems where both co-channel interference and user demands are taken into account. In particular, we first classify the sectors in each beam according to the interference they may cause to neighboring beams. Next, we formulate the scheduling problem such as the activation of neighboring beam sectors is avoided while proportionally dwelling on the sectors based on their traffic demands. The supporting numerical results for different demand distribution profiles validate the effectiveness of proposed interference-aware demand-based user scheduling over conventional scheduling techniques. [less ▲]

Detailed reference viewed: 51 (35 UL)
Full Text
Peer Reviewed
See detailExploring Spillover Effects for COVID-19 Cascade Prediction
Chen, Ninghan; Chen, Xihui UL; Zhong, Zhiqiang UL et al

in Entropy (2022), 24(2),

Detailed reference viewed: 45 (3 UL)
Full Text
See detailOn regime shifts in biological research
Proverbio, Daniele UL

Presentation (2022)

Detailed reference viewed: 43 (4 UL)
Full Text
Peer Reviewed
See detailLeveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease.
Fröhlich, Holger; Bontridder, Noémi; Petrovska-Delacréta, Dijana et al

in Frontiers in neurology (2022), 13

Recent years have witnessed a strongly increasing interest in digital technology within medicine (sensor devices, specific smartphone apps) and specifically also neurology. Quantitative measures derived ... [more ▼]

Recent years have witnessed a strongly increasing interest in digital technology within medicine (sensor devices, specific smartphone apps) and specifically also neurology. Quantitative measures derived from digital technology could provide Digital Biomarkers (DMs) enabling a quantitative and continuous monitoring of disease symptoms, also outside clinics. This includes the possibility to continuously and sensitively monitor the response to treatment, hence opening the opportunity to adapt medication pathways quickly. In addition, DMs may in the future allow early diagnosis, stratification of patient subgroups and prediction of clinical outcomes. Thus, DMs could complement or in certain cases even replace classical examiner-based outcome measures and molecular biomarkers measured in cerebral spinal fluid, blood, urine, saliva, or other body liquids. Altogether, DMs could play a prominent role in the emerging field of precision medicine. However, realizing this vision requires dedicated research. First, advanced data analytical methods need to be developed and applied, which extract candidate DMs from raw signals. Second, these candidate DMs need to be validated by (a) showing their correlation to established clinical outcome measures, and (b) demonstrating their diagnostic and/or prognostic value compared to established biomarkers. These points again require the use of advanced data analytical methods, including machine learning. In addition, the arising ethical, legal and social questions associated with the collection and processing of sensitive patient data and the use of machine learning methods to analyze these data for better individualized treatment of the disease, must be considered thoroughly. Using Parkinson's Disease (PD) as a prime example of a complex multifactorial disorder, the purpose of this article is to critically review the current state of research regarding the use of DMs, discuss open challenges and highlight emerging new directions. [less ▲]

Detailed reference viewed: 56 (1 UL)
Full Text
Peer Reviewed
See detailAddressing the need for new interoceptive methods
Garfinkel, Sarah N.; Schulz, André UL; Tsakiris, Manos

in Biological Psychology (2022), 170(1), 108322

Internal bodily signals are dynamically coupled to brain dynamics; interoception, the ‘sensing’ of internal signals, can influence cognition, emotion and perception. An appreciation of the wide-ranging ... [more ▼]

Internal bodily signals are dynamically coupled to brain dynamics; interoception, the ‘sensing’ of internal signals, can influence cognition, emotion and perception. An appreciation of the wide-ranging implications of interoceptive processing has surpassed the range and breadth of available interoceptive methods. New techniques are required to support the scientific study of interoception and this special issue brings together a diverse array of novel interoceptive methods and assessments, spanning psychophysiology, experimental psychology, affective neuroscience and computational approaches, divided into 5 core sections. Section 1 presents novel theoretical and computational models of interoception, while section two brings together a range of perspectives on questionnaire measures of interoception. Section 3 is devoted to the development of novel methods to assess interoception in behavioral tasks and section 4 focuses on the validity and confounds present in a range of methods used to assess interoception. Finally, section 5 details new methodological insights of interoception in the domains of emotion, cognition and health. Improved interoceptive methods are needed to progress this field; greater precision in techniques and core interoceptive constructs will aid in the mapping of interoceptive measures to cognition and emotion factors, as well as help to elucidate precise interoceptive alterations observed in clinical conditions. [less ▲]

Detailed reference viewed: 36 (2 UL)
Full Text
See detailCurrent Tax Treaty Issues, 50th Anniversary of the International Tax Group, G. Maisto (Editor), EC and International Tax Law Series Vol. 18, IBFD. 2020
Haslehner, Werner UL

in Intertax, International Tax Review (2022), 50(3), 4

This is a short review of an important anniversary volume of the "International Tax Group", which has made many significant contributions to international tax law over the last 50 years.

Detailed reference viewed: 66 (3 UL)
Full Text
Peer Reviewed
See detailCoffee, smoking and aspirin are associated with age at onset in idiopathic Parkinson's disease.
Gabbert, Carolin; König, Inke R.; Lüth, Theresa et al

in Journal of neurology (2022)

Parkinson's disease (PD) is a progressive neurodegenerative disorder. Genetic modifiers, environmental factors and gene-environment interactions have been found to modify PD risk and disease progression ... [more ▼]

Parkinson's disease (PD) is a progressive neurodegenerative disorder. Genetic modifiers, environmental factors and gene-environment interactions have been found to modify PD risk and disease progression. The objective of this study was to evaluate the association of smoking, caffeine and anti-inflammatory drugs with age at onset (AAO) in a large PD cohort. A total of 35,963 American patients with idiopathic PD (iPD) from the Fox Insight Study responded to health and lifestyle questionnaires. We compared the median AAO between different groups using the non-parametric Mann-Whitney U test. Non-parametric Spearman's correlation was used for correlation assessments and regression analysis was used to assess interaction between variables. We found that smoking (p < 0.0001), coffee drinking (p < 0.0001) and aspirin intake (p < 0.0001) show an exploratory association with AAO in PD, that was further supported by multivariate regression models. The association of aspirin with PD AAO was replicated in another cohort (EPIPARK) (n = 237 patients with PD). [less ▲]

Detailed reference viewed: 29 (1 UL)