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See detailHow to catch a space debris
Yalcin, Baris Can UL; Martinez Luna, Carol UL; Delisle, Maxime Hubert et al

Poster (2021, November 18)

The partnership between SpaceR and Spacety Luxembourg aims to develop cutting edge active space debris removal solutions that can be implemented into small cube sats The solution will take the advantage ... [more ▼]

The partnership between SpaceR and Spacety Luxembourg aims to develop cutting edge active space debris removal solutions that can be implemented into small cube sats The solution will take the advantage of latest advancements in many tech domains, such as gecko like sticky adhesives and energy efficient shape memory alloy materials. [less ▲]

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See detailPoster: A Methodology for Semi-Automated CAN Bus Reverse Engineering
Buscemi, Alessio UL; Turcanu, Ion; German, Castignani et al

Poster (2021, November)

Semi-automated Controller Area Network (CAN) reverse engineering has been shown to provide decoding accuracy comparable to the manual approach, while reducing the time required to decode signals. However ... [more ▼]

Semi-automated Controller Area Network (CAN) reverse engineering has been shown to provide decoding accuracy comparable to the manual approach, while reducing the time required to decode signals. However, current approaches are invasive, as they make use of diagnostic messages injected through the On-Board Diagnostics (OBD-II) port and often require a high amount of non-CAN external data. In this work, we present a non-invasive universal methodology for semi-automated CAN bus reverse engineering, which is based on the taxonomy of CAN signals. The data collection is simplified and its time reduced from the current standard of up to an hour to few minutes. A mean recall of around 80 % is obtained. [less ▲]

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See detailPost-Urban Mining Automation and Digitalisation for a Closed- Loop Circular Construction
Akbarieh, Arghavan UL; Schäfer, Markus UL; Waldmann, Daniele UL et al

Poster (2021, October 13)

The large volume of in- and out-flow of raw materials to construction projects has a huge potential to be optimised for resource efficiency and waste reduction. With the recent awareness of the importance ... [more ▼]

The large volume of in- and out-flow of raw materials to construction projects has a huge potential to be optimised for resource efficiency and waste reduction. With the recent awareness of the importance of the circular economy, construction actors are aligning their practices to be more circular and sustainable. The concept of material banks is born out of this awareness in order to document the lifecycle information of materials and facilitate re-using them. The introduction of new cycles before individual materials reach their final lifecycle stages results in reduced negative environmental impacts. This paper presents a workflow by positioning different digital technologies to automate the procedures for reuse assessment: from the deconstructed building to M/C bank to new construction projects. This automation supports a practical material and component reuse, while it provides the necessary infrastructure to digitise and digitalise the post-deconstruction materials to be visualised, selected and used by future designers in Building Information Modelling (BIM)-based design and management environments. To this aim, the coupling of BIM, reality capturing technologies, additive manufacturing techniques, IoT and RFID sensors is also anticipated. [less ▲]

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See detailThe retrograde procedural memory in people with Parkinson’s disease with or without freezing of gait – a cross-sectional study
Pauly, Laure UL; Rauschenberger, Armin UL; Pauly, Claire UL et al

Poster (2021, September 17)

Objective: To investigate the retrograde procedural memory in people with typical Parkinson’s disease (PwP) with or without freezing of gait (FOG). We hypothesized that the retrograde procedural memory is ... [more ▼]

Objective: To investigate the retrograde procedural memory in people with typical Parkinson’s disease (PwP) with or without freezing of gait (FOG). We hypothesized that the retrograde procedural memory is more strongly impaired in patients with FOG (FOG+) than in patients without FOG (FOG-). Background: Given that cognitive functions, like executive control and automaticity, are crucial for mobility, it is of great importance to get a deeper knowledge of the cognitive impairment that may interfere with walking and causing gait disturbances in PwP, i.e. FOG. The integrity of retrograde procedural memory, the ability to execute skills that have been learned in earlier life stages, is essential for a person’s ability to complete routine, procedural activities like walking. As FOG is characterized as a de-automatization disorder, we hypothesized an impairment of the retrograde procedural memory in patients with FOG. Methods: A total of 194 patients from the Luxembourg Parkinson’s study were included into the cross-sectional study. All patients were assigned to the FOG+ / FOG- groups based on a semi-structured interview conducted by a study physician. The extended evaluation system of the cube copying test was applied to evaluate both the cube-drawing procedure, representing the retrograde procedural memory, and the final result, representing the visuo-constructive abilities (Pauly et al., 2020, MDS abstract). We compared the cube copying performance of n=97 FOG+ with n=97 age-, gender- and education-matched FOG-. Results: FOG+ scored lower on the cube copying procedure compared to the FOG- (p=0.027), which is suggestive of an impaired retrograde procedural memory in FOG+. No significant differences in the visuo-constructional abilities were detected (p=0.945). Conclusion: In line with FOG being considered a de-automatization of walking, a skill acquired in earlier life stages, the present results suggest that PwP with FOG have an impaired retrograde procedural memory in comparison to PwP without FOG. The results lend support to the ability of the extended evaluation system of the cube copying test to assess impaired retrograde procedural memory and help improve our understanding of behavioral symptoms in PwP. [less ▲]

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See detailMassive MIMO Downlink Transmission for LEO Satellite Communications
Li, Ke-Xin; You, Li; Wang, Jiaheng et al

Poster (2021, September)

We investigate the downlink (DL) transmit strategy for massive multiple-input multiple-output (MIMO) low-earthorbit (LEO) satellite communication (SATCOM) systems, in which only the slow-varying ... [more ▼]

We investigate the downlink (DL) transmit strategy for massive multiple-input multiple-output (MIMO) low-earthorbit (LEO) satellite communication (SATCOM) systems, in which only the slow-varying statistical channel state information is known at the transmitter side. First, we establish the massive MIMO LEO satellite channel model, in which the uniform planar arrays are deployed at both the satellite and user terminals (UTs). Building on the rank-one property of satellite channel matrices, we show that transmitting a single data stream to each UT is optimal for the ergodic sum rate maximization. This result is of great importance for massive MIMO LEO SATCOM systems, since the sophisticated design of transmit covariance matrices is turned into that of precoding vectors, with no loss of optimality at all. Furthermore, we conceive an algorithm to compute the precoding vectors. Simulation results show the significant performance gains of the proposed approaches over the previous schemes. [less ▲]

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See detailFrom language policy to educational practices: early multilingual education in Luxembourg
Seele, Claudia; Kirsch, Claudine UL

Poster (2021, August 17)

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See detailModel bias and its impact on computer-aided diagnosis: A data-centric approach
Garcia Santa Cruz, Beatriz UL; Bossa, Matias Nicolas UL; Sölter, Jan UL et al

Poster (2021, August)

Machine learning and data-driven solutions open exciting opportunities in many disciplines including healthcare. The recent transition to this technology into real clinical settings brings new challenges ... [more ▼]

Machine learning and data-driven solutions open exciting opportunities in many disciplines including healthcare. The recent transition to this technology into real clinical settings brings new challenges. Such problems derive from several factors, including their dataset origin, composition and description, hampering their fairness and secure application. Considering the potential impact of incorrect predictions in applied-ML healthcare research is urgent. Undetected bias induced by inappropriate use of datasets and improper consideration of confounders prevents the translation of prediction models into clinical practice. Therefore, in this work, the use of available systematic tools to assess the risk of bias in models is employed as the first step to explore robust solutions for better dataset choice, dataset merge and design of the training and validation step during the ML development pipeline. [less ▲]

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See detailRelationship between Critical Consciousness and Multiculturalism? A comparison across four countries
Eickmann, Wibke; Murdock, Elke UL

Poster (2021, July 29)

Multiculturalism Ideology (MCI) describes the “appreciation of the value of cultural diversity for a society, and a need for mutual acceptance and accommodation that promotes equitable participation” ... [more ▼]

Multiculturalism Ideology (MCI) describes the “appreciation of the value of cultural diversity for a society, and a need for mutual acceptance and accommodation that promotes equitable participation” (Berry, 2016, p. 416f). The aim of the present study was to explore if and how diversity-related attitudes and the perception of less privileged members of society are linked and thus contribute to the growing body of research on social inequity awareness. Whilst some studies have focused on MCI and minority rights, awareness of structural discrimination and lowering prejudice, few have focused specifically on Critical Consciousness (CC), the reflection about inequalities in society and action taken to address them. Components of CC include Critical Reflection (Perceived Inequality and Egalitarianism), Political Efficacy (Internal and External), and Critical Action (Sociopolitical Participation). The present study draws on a quantitative design. An online questionnaire was launched in four countries, France, Luxembourg, Hong Kong, and Malaysia, which differ in their approaches in dealing with diversity. Measures included the Critical Consciousness Scale, the Political Efficacy Short Scale with the subscales regarding internal and external political efficacy and the Multicultural Ideology Scale (MCI). The questionnaire was made available in English, French and German. The total sample comprised 120 participants (68.2% female, Mage = 26.40, SDage = 9.71). Results indicate that MCI was highly positively correlated with Perceived Inequality and Egalitarianism and negatively with External Political Efficacy. Mean scores for CC components and MCI did not statistically differ across the four countries, while the correlation patterns between CC components and MCI were different. This finding suggests that CC may develop quite independently of cultural influences, as perception of unequal treatment and status differences between groups is an issue prevalent in all societies. More detailed results and implications as well as limitations of the present study will be discussed. [less ▲]

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See detailA Cubesat-ready Phase Synchronization Digital Payload for Coherent Distributed Remote Sensing Missions
Querol, Jorge UL; Merlano Duncan, Juan Carlos UL; Martinez Marrero, Liz UL et al

Poster (2021, July 15)

Distributed antenna arrays, fractionated payloads and cooperative platforms can provide unprecedented performance in the next generation of spaceborne communications and remote sensing systems. Remote ... [more ▼]

Distributed antenna arrays, fractionated payloads and cooperative platforms can provide unprecedented performance in the next generation of spaceborne communications and remote sensing systems. Remote phase synchronization of physically separated oscillators is the first step towards a coherent operation of distributed systems. This work shows the preliminary results of a TDD remote phase synchronization algorithm with a master-follower architecture. Herein, we describe the implementation and validation of the proposed algorithm. The implementation has been conducted in a Cubesat-ready software defined radio and validated at the end-to-end satellite communications testbed available at the University of Luxembourg. [less ▲]

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See detail𝑘-Pareto Optimality for Many-Objective Genetic Optimization
Ruppert, Jean; Aleksandrova, Marharyta UL; Engel, Thomas UL

Poster (2021, July)

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See detailInvestigating the associations of trajectories of depressive symptoms and self-perceived health and incident dementia : an unsupervised machine learning approach.
Klee, Matthias UL; Leist, Anja UL

Poster (2021, July)

Background: Risk factors for dementia show inter-individually varying trajectories over the lifespan. However, risk factors have been mainly investigated with one time-point assessments. New research ... [more ▼]

Background: Risk factors for dementia show inter-individually varying trajectories over the lifespan. However, risk factors have been mainly investigated with one time-point assessments. New research suggests that certain risk factor trajectories are associated with increased risk of adverse cognitive outcomes (Demnitz et al., 2020 [https://doi.org/10.1101/2020.05.20.20106963]; Singh-Manoux et al., 2018 [https://doi.org/10.1016/j.jalz.2017.06.2637]). However, it remains unclear how sequential and simultaneous changes of risk factors alter the individual risk for developing dementia. Testing the joint contribution of trajectories of depressive symptoms and self-perceived health on incidence of dementia, we hypothesized that consistently poor as well as deteriorating trajectories increase the risk for incident dementia, and explored possible interactions of the trajectories. Method: A total of 5,326 respondents to the SHARE survey, mean age 73.9 years, and 6 complete follow-ups spanning ~13 years, answered the EURO-D depression scale, self-perceived health (SPH) (t1-t5), and self-reported dementia diagnosis at last follow-up (t6). To investigate the predictive ability of distinct longitudinal trajectories, we applied unsupervised statistical learning methods (K-means cluster modelling). Clusters indicated distinct risk factor trajectories, which were used as exposures in stepwise logistic regressions to predict incident dementia, controlling for age, gender, education, and country. Result: Cluster analysis revealed five distinct trajectories each for SPH and EURO-D, with varying dementia incidence. In stepwise logistic regressions, respondents with trajectories “consistently poor health” and “consistently high depression” showed elevated risk of dementia (OR = 4.02 [1.39, 14.75] and OR = 2.26 [1.03, 4.95], respectively) compared to the combined baseline risk for “consistently low depression” and “consistently good health”. Interactions were not significant. However, respondents with the combination of “consistently high depression” and “consistently poor health” showed increased risk (N = 246; 6.1% dementia). Conclusion: Applying unsupervised machine learning is helpful to incorporate longitudinal information on depressive symptoms and self-perceived health and model these risk factors longitudinally to test their contribution to explain incidence of dementia. The predictive ability of the trajectories of depressive symptoms and self-perceived health for dementia indicates the potential for improving the identification of people at risk for developing dementia in late life by exploiting trajectory information readily accessible through regular medical check-ups in old age. [less ▲]

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See detailMulti-Antenna Data-Driven Eavesdropping Attacks and Symbol-Level Precoding Countermeasures
Mayouche, Abderrahmane UL; Alves Martins, Wallace UL; Tsinos, Christos UL et al

Poster (2021, June 21)

In this work, we consider secure communications in wireless multi-user (MU) multiple-input single-output (MISO) systems with channel coding in the presence of a multi-antenna eavesdropper (Eve), who is a ... [more ▼]

In this work, we consider secure communications in wireless multi-user (MU) multiple-input single-output (MISO) systems with channel coding in the presence of a multi-antenna eavesdropper (Eve), who is a legit user trying to eavesdrop other users. In this setting, we exploit machine learning (ML) tools to design soft and hard decoding schemes by using precoded pilot symbols as training data. The proposed ML frameworks allow an Eve to determine the transmitted message with high accuracy. We thereby show that MU-MISO systems are vulnerable to such eavesdropping attacks even when relatively secure transmission techniques are employed, such as symbol-level precoding (SLP). To counteract this attack, we propose two novel SLP-based schemes that increase the bit-error rate at Eve by impeding the learning process. We design these two security-enhanced schemes to meet different requirements regarding runtime, security, and power consumption. Simulation results validate both the ML-based eavesdropping attacks as well as the countermeasures, and show that the gain in security is achieved without affecting the decoding performance at the intended users. [less ▲]

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See detailEnergy Efficiency Optimization Technique for SWIPT-enabled Multi-Group Multicasting Systems with Heterogeneous Users
Gautam, Sumit UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

Poster (2021, June)

We consider a multi-group (MG) multicasting (MC) system wherein a multi-antenna transmitter serves heterogeneous users capable of either information decoding (ID) or energy harvesting (EH), or both. In ... [more ▼]

We consider a multi-group (MG) multicasting (MC) system wherein a multi-antenna transmitter serves heterogeneous users capable of either information decoding (ID) or energy harvesting (EH), or both. In this context, we investigate a precoder design framework to explicitly serve the ID and EH users categorized within certain MC and EH groups. Specifically, the ID users are categorized within multiple MC groups while the EH users are a part of single (last) group. We formulate a problem to optimize the energy efficiency in the considered scenario under a quality-of-service (QoS) constraint. An algorithm based on Dinkelback method, slack-variable replacement, and second-order conic programming (SOCP)/semi-definite relaxation (SDR) is proposed to obtain a suitable solution for the above-mentioned fractional-objective dependent non-convex problem. Simulation results illustrate the benefits of proposed algorithm under several operating conditions and parameter values, while drawing a comparison between the two proposed methods. [less ▲]

Detailed reference viewed: 66 (8 UL)
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See detailGNSS-R GRAZING ANGLE FOR SEA ICE ALTIMETRY
Navarro Buendìa, Raquel UL

Poster (2021, May 21)

The grazing angle signals of opportunities from Global Navigation Satellite System (GNSS) are used to perform precise sea-ice altimetry. The novel GNSS-Reflectometry (GNSS-R) would help to better ... [more ▼]

The grazing angle signals of opportunities from Global Navigation Satellite System (GNSS) are used to perform precise sea-ice altimetry. The novel GNSS-Reflectometry (GNSS-R) would help to better understand the sea-ice distribution and classification in the polar regions. [less ▲]

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See detailA data-driven computational framework to provide deformable solids with the sense of touch
Hurtado Cathalifaud, Diego Rene UL

Poster (2021, May 21)

A data-driven, probabilistic, computational framework will be developed that provides a deformable solid with the sense of 'touch', so that it can detect the shape and mechanical behaviour of its ... [more ▼]

A data-driven, probabilistic, computational framework will be developed that provides a deformable solid with the sense of 'touch', so that it can detect the shape and mechanical behaviour of its environment. The framework will rely on three modules: a mechanical model to simulate the contact between the deformable solid and its environment, a machine learning module to rapidly emulate the mechanical simulations, and a probabilistic framework to identify the shape and mechanical behaviour of the solid’s environment. [less ▲]

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See detailIndividually Tailored Neurofeedback
Uslu, Sinan UL

Poster (2021, May 21)

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See detailScience Inequalities
Kozlowski, Diego UL

Poster (2021, May 21)

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See detailFinancial Difficulties and Gender as Moderators of How Workforce Involvement and Transitions Affect the Health of Older Europeans
Settels, Jason UL

Poster (2021, May 05)

A prominent demographic trend throughout the industrialized world is population aging. In response to concerns about labor force shortages, many European nations have enacted policies aimed at keeping ... [more ▼]

A prominent demographic trend throughout the industrialized world is population aging. In response to concerns about labor force shortages, many European nations have enacted policies aimed at keeping older persons employed. Understanding how later life paid work is associated with health is thus important. Using an older sample from waves six and seven of the Survey of Health, Ageing and Retirement in Europe (N = 38,884), this study shows how a set of six workforce involvement/transitions patterns are associated with health. Also studied are whether these effects are moderated by financial difficulties. Later life paid work is found to be beneficial for health, and this benefit is accentuated by financial difficulties. The findings also reveal moderation by gender. Older women’s more fragmented employment histories cause stable paid work to be of less benefit for addressing their financial difficulties. Furthermore, older women are especially vulnerable to unemployment while undergoing financial troubles. [less ▲]

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See detailPrivacy-Preserving PayString Service
Scheidt de Cristo, Flaviene UL; Shbair, Wazen UL; Trestioreanu, Lucian Andrei UL et al

Poster (2021, May)

PayString is an initiative to make payment identifiers global and human-readable, facilitating the exchange of payment information. However, the reference implementation lacks privacy and security ... [more ▼]

PayString is an initiative to make payment identifiers global and human-readable, facilitating the exchange of payment information. However, the reference implementation lacks privacy and security features, making it possible for anyone to access the payment information as long as the PayString identifier is known. Also, this paper presents the first performance evaluation of PayString. Via a large-scale testbed, our experimental results show an overhead which, given the privacy and security advantages offered, is acceptable in practice, thus making the proposed solution feasible. [less ▲]

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See detail5G-SpaceLab
Querol, Jorge UL; Abdalla, Abdelrahman UL; Bokal, Zhanna UL et al

Poster (2021, April 19)

The new phase of space exploration involves a growing number of human and robotic missions with varying communication and service requirements. Continuous, maximum coverage of areas where activities are ... [more ▼]

The new phase of space exploration involves a growing number of human and robotic missions with varying communication and service requirements. Continuous, maximum coverage of areas where activities are concentrated and orbiting missions (single spacecraft or constellations) around the Earth, Moon or Mars will be particularly challenging. The standardization of the 5G Non-Terrestrial Networks (NTN) has already begun [1], and nothing prevents 5G from becoming a common communications standard supporting space resource missions [2]. The 5G Space Communications Lab (5G-SpaceLab) is an interdisciplinary experimental platform, funded by the Luxembourg Space Agency and is part of the Space Research Program of SnT. The lab allows users to design and emulate realistic space communications and control scenarios for the next-generation of space applications. The capabilities of the 5G-SpaceLab testbed combine the experience of different disciplines including space communications, space and satellite mission design, and space robotics. The most relevant include the demonstration of SDR 5G NTN terminals including NB-IoT, emulation of space communications channel scenarios (e.g. link budget, delay, Doppler…), small satellite platform and payload design and testing, satellite swarm flight formation, lunar rover and robotic arm control and AI-powered telerobotics. Earth-Moon communications is one of the scenarios demonstrated in the 5G-SpaceLab. Bidirectional communication for the teleoperation of lunar rovers for near real-time operations including data collection and sensors feedback will be tested. AI-based approaches for perception and control will be developed to overcome communication delays and to provide safer, trustworthy, and efficient remote control of the rovers. [1] 3GPP Release 17 Timeline. [Online]. Available: https://www.3gpp.org/release-17 [2] Nokia, Nokia selected by NASA to build first ever cellular network on the Moon. [Online]. Available: https://www.nokia.com/about-us/news/releases/2020/10/19/nokia-selected-by-nasa-to-build-first-ever-cellular-network-on-the-moon/ [less ▲]

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See detailBridging the space systems performance-reliability gap for future deep space resources exploration and exploitation.
Pinto Gouveia, Ines UL; Graczyk, Rafal UL; Volp, Marcus UL

Poster (2021, April)

In building equipment for space exploitation, one has to trade system robustness for the high processing capabilities and low energy consumption. The high performance, low robustness approach, is ... [more ▼]

In building equipment for space exploitation, one has to trade system robustness for the high processing capabilities and low energy consumption. The high performance, low robustness approach, is acceptable, especially in Earths’ vicinity. However, in more demanding (especially high-radiation) environments, attempts had disappointing outcomes. The processing-reliability gap, between highly reliable and highly performant systems, spans 2-3 orders of magnitude. This gap brings hope, that some of this excess processing power can be utilized, in building a combination of hardware and software mechanisms that is capable of increasing robustness and resilience of otherwise susceptible semiconductor devices, while allowing to harness the remaining processing power to build affordable space systems with large degrees of autonomy, rich functionality and high bandwidth. At the CritiX research group, we aim to bridge this performance-reliability gap, by researching the enabling building blocks for constructing more reliable and more secure System-on-Chips. [less ▲]

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See detailModeling and Optimization of RF-Energy Harvesting-assisted Quantum Battery System
Gautam, Sumit UL; Sharma, Shree Krishna UL; Chatzinotas, Symeon UL et al

Poster (2021, April)

The quest for finding a small-sized energy supply to run the small-scale wireless gadgets, with almost an infinite lifetime, has intrigued humankind since past several decades. In this context, the ... [more ▼]

The quest for finding a small-sized energy supply to run the small-scale wireless gadgets, with almost an infinite lifetime, has intrigued humankind since past several decades. In this context, the concept of Quantum batteries has come into limelight more recently to serve the purpose. However, the main issue revolving around the closed-system design of Quantum batteries is to ensure a loss-less environment, which is extremely difficult to realize in practice. In this paper, we present the modeling and optimization aspects of a Radio-Frequency (RF) Energy Harvesting (EH) assisted Quantum battery, wherein several EH modules (in the form of micro- or nano- sized integrated circuits (ICs)) help each of the involved Quantum sources achieve the so-called quasi-stable state. Specifically, a micro-controller manages the overall harvested energy from the RF-EH ICs and a photon emitting device, such that the emitted photons are absorbed by the electrons in the Quantum sources. In order to precisely model and optimize the considered framework, we formulate a transmit power minimization problem for an RF-based wireless system to optimize the number of RF-EH ICs under the given EH constraints at the Quantum battery-enabled wireless device. We obtain an analytical solution to the above-mentioned problem using a rational approach, while additionally seeking another solution obtained via a non-linear program solver. The effectiveness of the proposed technique is reported in the form of numerical results by taking a range of system parameters into account. [less ▲]

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See detailWhat Are Scientific Models? Problems with the Fiction View
Durlacher, Thomas UL

Poster (2021, February 05)

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See detailPrinciples for setting single or multiline control based on network characteristics
Laskaris, Georgios; Cats, Oded; Jenelius, Erik et al

Poster (2021, January)

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See detailSystematic Analysis and Modelling of Profit Maximization on Carsharing
Giorgione, Giulio UL; Kliazovich, Dzmitry; Bolzani, Luca UL et al

Poster (2021, January)

The success of carsharing as a new and more sustainable way of travel is moving private car ownership towards a service use model. Competitivity is an essential aspect of this service and ways to increase ... [more ▼]

The success of carsharing as a new and more sustainable way of travel is moving private car ownership towards a service use model. Competitivity is an essential aspect of this service and ways to increase profit while offering the most appealing service are still getting explored. Among others, dynamic pricing strategies can be designed to increase profit by attracting more users, selling more rental hours or maximizing fleet utilization. In this paper, we propose an experimental method aimed at developing a model for maximizing service profit. Using agent-based modeling to generate realistic scenarios, we analyze pricing as a function of the potential demand (i.e. number of members) and supply (hours of booking supplied). The process of reaching the maximum profit consists of testing various combinations of pricing - demand and pricing – supply ranges in order to find the price that maximize the profit for every demand and supply level. Once the optimal prices are known, a polynomial fitting and an optimization method are used to generate a function linking all the maximal profit obtaining the advised price to offer for any specific supply levels. Results show how the profit only slightly depends on the variability of the potential demand, while it strongly depends on the amount of supply. It is then shown how it is possible to obtain a linear relation that maximizes the profit in function of the price offered once the supply is known. [less ▲]

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See detailDefining the Pre-Examination Experience of MRI patients through Affective Interaction.
van Weert, Katja; Chen, Tianyi; Verburg, Pepijn et al

Poster (2021)

For many patients, Magnetic Resonance Imaging (MRI) experiences are uncomfortable and associated with high levels of anxiety and stress. Such negative experiences may interfere with image quality and ... [more ▼]

For many patients, Magnetic Resonance Imaging (MRI) experiences are uncomfortable and associated with high levels of anxiety and stress. Such negative experiences may interfere with image quality and increase examination time. It is therefore necessary to understand the mental states of the patients prior to the examination in order to provide stress-relieving measures. Studies exploring MRI-related anxiety and interventions to alleviate it have typically relied on self-reported data (e.g. STAI-6 questionnaire) or psychophysiological measures [1], usually in the waiting room. One could however benefit from an alternative measurement approach to overcome the limitations of current methods. The purpose of our study is to develop a tool for measuring mental states in the context of MRI experiences and explore the suitability of various sensors to detect anxiety. [less ▲]

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See detailLow-Light Image Enhancement of Permanently Shadowed Lunar Regions with Physics-Based Machine Learning
moseley, ben; Bickel, Valentin; Rana, Loveneesh UL et al

Poster (2021)

We show that it is possible to significantly enhance the quality of extremely low-light images of permanently-shaded regions (PSRs) on the moon by using two physics-based deep neural networks, which we ... [more ▼]

We show that it is possible to significantly enhance the quality of extremely low-light images of permanently-shaded regions (PSRs) on the moon by using two physics-based deep neural networks, which we called HORUS, to remove CCD sensor-related noise and photon noise. To inform our distribution of training data, we perform ray tracing over a digital elevation model of the moon and derive the distributions of secondary illumination angles in PSRs. Our network provides high-resolution, low-noise images that will help enable future ground missions to plan and execute safe and effective traverses into, around, and out of lunar PSRs — a critical step in our endeavor to explore the moon and beyond. [less ▲]

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See detailOngoing sound changes in the Luxembourgish vowel system
Gilles, Peter UL

Poster (2021)

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See detailIntelligent Reflecting Surface-assisted MU-MISO Systems with Imperfect Hardware: Channel Estimation and Beamforming Design
Papazafeiropoulos, Anastasios; Pan, Cunhua; Kourtessis, Pandelis et al

Poster (2021)

Intelligent reflecting surface (IRS), consisting of lowcost passive elements, is a promising technology for improving the spectral and energy efficiency of the fifth-generation (5G) and beyond networks ... [more ▼]

Intelligent reflecting surface (IRS), consisting of lowcost passive elements, is a promising technology for improving the spectral and energy efficiency of the fifth-generation (5G) and beyond networks. It is also noteworthy that an IRS can shape the reflected signal propagation. Most works in IRSassisted systems have ignored the impact of the inevitable residual hardware impairments (HWIs) at both the transceiver hardware and the IRS while any relevant works have addressed only simple scenarios, e.g., with single-antenna network nodes and/or without taking the randomness of phase noise at the IRS into account. In this work, we aim at filling up this gap by considering a general IRS-assisted multi-user (MU) multiple-input single-output (MISO) system with imperfect channel state information (CSI) and correlated Rayleigh fading. In parallel, we present a general computationally efficient methodology for IRS reflect beamforming (RB) optimization. Specifically, we introduce an advantageous channel estimation (CE) method for such systems accounting for the HWIs. Moreover, we derive the uplink achievable spectral efficiency (SE) with maximal-ratio combining (MRC) receiver, displaying three significant advantages being: 1) its closed-form expression, 2) its dependence only on large-scale statistics, and 3) its low training overhead. Notably, by exploiting the first two benefits, we achieve to perform optimization with respect to the that can take place only at every several coherence intervals, and thus, reduces significantly the computational cost compared to other methods which require frequent phase optimization. Among the insightful observations, we highlight that uncorrelated Rayleigh fading does not allow optimization of the SE, which makes the application of an IRS ineffective. Also, in the case that the phase drifts, describing the distortion of the phases in the RBM, are uniformly distributed, the presence of an IRS provides no advantage. The analytical results outperform previous works and are verified by Monte-Carlo (MC) simulations. [less ▲]

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See detailPhysical Activity and Lifestyle Habits of Adolescents during School Closures due to Covid-19 Pandemic: Results of the SUGAPAS-Project
Gruodytė-Račienė, R.; Čapkauskienė, S.; Pokvytytė, V. et al

Poster (2021)

The lifestyle of children and adolescents during the COVID-19 pandemic has been affected dramatically by restrictions, causing a substantial decrease in physical activity (PA) and extensive increase in ... [more ▼]

The lifestyle of children and adolescents during the COVID-19 pandemic has been affected dramatically by restrictions, causing a substantial decrease in physical activity (PA) and extensive increase in sedentary activity time (Xiang et al. 2020). The purpose of this study was to investigate PA and lifestyle habits of adolescent students in a sample of European countries involved in the SUGAPAS project (Supporting Gamified Physical Activities in & out of Schools), an Erasmus+ funded project aiming to design and implement mobile games which should trigger students’ health-related habitual behavior. [less ▲]

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See detailCross-Evaluation of Surface Meteorological Data and GNSS-derived Water Vapor with Re-analysis Information for South Georgia Island, South Atlantic Ocean
Erkihune, Eshetu Nega UL; Teferle, Felix Norman UL; Hunegnaw, Addisu UL et al

Poster (2020, December 11)

As one of the most important components of the global hydrologic cycle, atmospheric water vapor shows significant variability in both space and time over a large range of scales. This variability results ... [more ▼]

As one of the most important components of the global hydrologic cycle, atmospheric water vapor shows significant variability in both space and time over a large range of scales. This variability results from the interactions of many different factors, including topography and the presence of specific atmospheric processes. One of the key regions for affecting global climatic variations lies in the sub-Antarctic zone over the Southern Ocean with its Antarctic Circumpolar Current and the associated Antarctic Convergence. There, in this cold and maritime region, lies South Georgia Island with its weather and climate being largely affected by both the dominating ocean currents and the strong east ward blowing winds in this zone. While the island forms an important outpost for various surface observations in this largely under-sampled and extremely remote region, it also forms a barrier for these winds due to its high topography, which, in turn, leads to various local meteorological phenomena, such as foehn winds. Surface meteorological data have been available for several stations near King Edward Point (KEP) on South Georgia for much of the 20th century. Since 2013 and 2014, Global Navigation Satellite System (GNSS) data have been available at five locations around the periphery of the island and during a few months in 2016 also radiosonde data have been collected at KEP. This study aims at investigating the consistency between the different surface meteorological data sets such as temperature, pressure and wind direction/speed that have been collected at KEP and a nearby GNSS station on Brown Mountain (BMT) for which we also compare the precipitable water vapor estimates. A cross-evaluation of these data sets with model values from the ERA-Interim re-analyses is carried out to further investigate the performance of both instruments and models. Overall, our preliminary results show high consistency between the surface meteorological observations and the re-analysis model values. It was our main objective to investigate the homogeneity and accuracy of the BMT observation time series through cross-evaluation with the series of the official WMO station at KEP. Air temperature and pressure at both sites from observation and model data are strongly correlated at hourly intervals, reaching correlation coefficients in the range of 0.966 - 0.968 for the former data set. The difference temperature time series shows seasonal variations but no obvious steps. The difference pressure time series is flat, also indicating no discontinuities. A cross-evaluation of the wind observations shows the distinct directional feature at KEP for a station in a valley where the winds are funneled through the valley. For BMT the wind observations confirm the main directions of winds but also show the openness of the station from all directions. The observations of temperature, pressure, humidity and GNSS-derived PWV clearly show the signatures of the frequent foehn events. [less ▲]

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See detailTest
Erkihune, Eshetu Nega UL; Teferle, Felix Norman UL; Hunegnaw, Addisu UL et al

Poster (2020, December 11)

test

Detailed reference viewed: 105 (27 UL)
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See detailExtended Producer Responsibility in the Construction Sector through Blockchain, BIM and Smart Contract Technologies
Akbarieh, Arghavan UL; Carbone, William; Schäfer, Markus UL et al

Poster (2020, December 09)

Despite the enormous amount of raw or secondary materials flowing within the construction industry, the actual available volume of materials and their respective End-of-Lifecycle (EoL) treatment is not ... [more ▼]

Despite the enormous amount of raw or secondary materials flowing within the construction industry, the actual available volume of materials and their respective End-of-Lifecycle (EoL) treatment is not regulated nor uniform. On top of that, the EoL responsibility of different stakeholders after the future building deconstruction is confusing and disputable. Consequently, different sustainability policies and metrics suffer from inaccurately reported volumes of circulating materials in the economy. Hence, this article aims to find a new way to improve and regulate the EoL treatment of recyclable materials and to create value for them. The ultimate goal of the proposed framework is to make original manufacturers responsible for the EoL treatment of their recyclable construction materials and products under the Extended Producers Responsibility (EPR) policy that is enacted in the European Union for sustainable management of waste streams. Adhering to the EPR is difficult for buildings as they are long-term and complex assets. A high degree of transparency, accuracy and security is required to correctly track the lifecycle information of building parts and their respective manufacturers for the EPR implementation. For this purpose, a framework is conceptualised based on the immutability and transparency of blockchain technology to remove trust and trace barriers in the current supply chain. The proposed conceptual model results from the synergy of Building Information Modelling (BIM) technology, material and component banks, blockchain technology and smart contracts for the EoL treatment of recyclable materials. As a result, a data-driven and closed-loop material cycle will be accomplished. This paper demonstrates that through self-executing smart contracts, a clear line of responsibility and ownership could be defined while manufacturers could be made accountable in the post-consumer phase of their construction products. [less ▲]

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See detailTowards 2-Hop Neighbor Management for Heterogeneous Vehicular Networks
Turcanu, Ion UL; Kim, Minsuk; Klingler, Florian

Poster (2020, December)

Message dissemination protocols for vehicular networks often build upon information maintained in neighbor tables. Due to high mobility and scarce channel capacity available in such networks, algorithms ... [more ▼]

Message dissemination protocols for vehicular networks often build upon information maintained in neighbor tables. Due to high mobility and scarce channel capacity available in such networks, algorithms for maintaining neighbor tables must carefully select which information is transmitted at which time. Recent approaches rely on probabilistic data structures (e.g., Bloom filter) for transmitting such neighbor information in order to reduce channel load, yet they still suffer from scarce channel capacities. In this paper, we propose to use multiple communication technologies (heterogeneous networking) for maintaining neighbor tables by building upon recent 2-hop neighbor management strategies. Promising results show an increase of up to 19 % of covered neighbors in comparison to a Baseline approach that only uses one communication technology. [less ▲]

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See detailSupporting findability of COVID-19 research with large-scale text mining of scientific publications
Welter, Danielle UL; Vega Moreno, Carlos Gonzalo UL; Biryukov, Maria UL et al

Poster (2020, November 27)

When the COVID-19 pandemic hit in early 2020, a lot of research efforts were quickly redirected towards studies on SARS-CoV2 and COVID-19 disease, from the sequencing and assembly of viral genomes to the ... [more ▼]

When the COVID-19 pandemic hit in early 2020, a lot of research efforts were quickly redirected towards studies on SARS-CoV2 and COVID-19 disease, from the sequencing and assembly of viral genomes to the elaboration of robust testing methodologies and the development of treatment and vaccination strategies. At the same time, a flurry of scientific publications around SARS-CoV-2 and COVID-19 began to appear, making it increasingly difficult for researchers to stay up-to-date with latest trends and developments in this rapidly evolving field. The BioKB platform is a pipeline which, by exploiting text mining and semantic technologies, helps researchers easily access semantic content of thousands of abstracts and full text articles. The content of the articles is analysed and concepts from a range of contexts, including proteins, species, chemicals, diseases and biological processes are tagged based on existing dictionaries of controlled terms. Co-occurring concepts are classified based on their asserted relationship and the resulting subject-relation-object triples are stored in a publicly accessible human- and machine-readable knowledge base. All concepts in the BioKB dictionaries are linked to stable, persistent identifiers, either a resource accession such as an Ensembl, Uniprot or PubChem ID for genes, proteins and chemicals, or an ontology term ID for diseases, phenotypes and other ontology terms. In order to improve COVID-19 related text mining, we extended the underlying dictionaries to include many additional viral species (via NCBI Taxonomy identifiers), phenotypes from the Human Phenotype Ontology (HPO), COVID-related concepts including clinical and laboratory tests from the COVID-19 ontology, as well as additional diseases (DO) and biological processes (GO). We also added all viral proteins found in UniProt and gene entries from EntrezGene to increase the sensitivity of the text mining pipeline to viral data. To date, BioKB has indexed over 270’000 sentences from 21’935 publications relating to coronavirus infections, with publications dating from 1963 to 2021, 3’863 of which were published this year. We are currently working to further refine the text mining pipeline by training it on the extraction of increasingly complex relations such as protein-phenotype relationships. We are also regularly adding new terms to our dictionaries for areas where coverage is currently low, such as clinical and laboratory tests and procedures and novel drug treatments. [less ▲]

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See detailInequalities in the Luxembourgish Educational System: Effects of Language Proficiency on Math Performance Among Different Generations of Immigrant Students
Krämer, Charlotte UL; Rivas, Salvador UL; Reichel, Yanica UL et al

Poster (2020, November 12)

Research indicates students with immigrant background are disadvantaged in educational systems of the host country (e.g., OECD, 2018). In Luxembourg, roughly half of the school population has an immigrant ... [more ▼]

Research indicates students with immigrant background are disadvantaged in educational systems of the host country (e.g., OECD, 2018). In Luxembourg, roughly half of the school population has an immigrant background (Lenz & Heinz, 2018), and several studies indicate these students are considerably disadvantaged in terms of educational achievement levels (Hadjar et al., 2015, 2018). Lower achievement may be partly due to difficulties related to displacement and settling of 1st generation immigrant students. Second and later generation students may however also experience disadvantages as they speak languages at home that are different from the two main languages of instruction (i.e., German and French), and their parents may be less familiar with the educational system and less able to provide support for their children (Alba & Foner, 2016). This may explain why educational inequalities persist; however little is known about the influence of language proficiency of different generations of immigrant students on their performance in other school subjects. Therefore, our poster focuses on the effect of generation after controlling for the effect of language on math competency. Using data from the Luxembourg School Monitoring Programme (Épreuves Standardisées) for the 2016 cohort of 9th grade students in the two main tracks of secondary school (n=4,339), we conduct regression analysis to investigate to what extent language proficiency in German and French and generational status have an impact on math performance. Data indicates that language proficiency in both German and French explains a significant proportion of variance in math performance. In addition, there is a generation effect, whereby 3rd and later generation immigrant students achieve a higher level of math competency than students of the 1st or 2nd generation. Results will be discussed in terms of social mobility and educational inequality. [less ▲]

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See detailThe CORONA Business in Modern Cities
Vitello, Piergiorgio UL; Capponi, Andrea UL; Klopp, Pol et al

Poster (2020, November)

As a response to the global outbreak of the SARS-COVID-19 pandemic, authorities have enforced a number of measures including social distancing, travel restrictions that lead to the “temporary” closure of ... [more ▼]

As a response to the global outbreak of the SARS-COVID-19 pandemic, authorities have enforced a number of measures including social distancing, travel restrictions that lead to the “temporary” closure of activities stemming from public services, schools, industry to local businesses. In this poster we draw the attention to the impact of such measures on urban environments and activities. For this, we use crowdsensed information available from datasets like Google Popular Times and Apple Maps to shed light on the changes undergone during the outbreak and the recovery [less ▲]

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See detailLarge scale realistic virtual environments for lunar robotics testing using real-time computer games engines
Ludivig, Philippe UL; Voos, Holger UL; Lamamy, Julien

Poster (2020, October 23)

Virtual simulation environments are a great tool for testing different rover systems before they are sent to the moon. They allow for perfect repeatability and give abetter idea how specific parameters ... [more ▼]

Virtual simulation environments are a great tool for testing different rover systems before they are sent to the moon. They allow for perfect repeatability and give abetter idea how specific parameters can impact the overall system. Most current simulators however suffer from low visual fidelity which is problematic for testing the vision sensors needed for autonomous navigation.Additionally, due to technical and practical limitations, most simulations are limited in environment scale. This is problematic for long range navigation testing needed for missions such as the mars sample fetch rover[1]. In order to solve both issues, we turn towards a popular computer game engine,Unreal Engine 4. It allows for larger environments than what is currently possible in robotics simulators such as Gazebo[2]or V-rep[3]. It also addresses the visual fidelity with a range of tools including real-time ray-tracing.The tradeoff is a low physics fidelity, which can be an issue when testing wheel-soil interaction. For our use-case we focus primarily on perception systems needed for rover navigation, such as mono and stereo camera systems, where visual fidelity is more important. [less ▲]

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See detailABSOLUTE LOCALIZATION FOR SURFACE ROBOTICS IN GPS-DENIED ENVIRONMENTS USING A NEURAL NETWORK.
Wu, Ben; Ludivig, Philippe UL; Potter, Ross et al

Poster (2020, October 23)

Accurate localization in surface robotics is essential for navigation, path planning, and science objectives. On Earth, absolute localization can be readily achieved via satellite navigation (e.g., GPS ... [more ▼]

Accurate localization in surface robotics is essential for navigation, path planning, and science objectives. On Earth, absolute localization can be readily achieved via satellite navigation (e.g., GPS). For other planetary bodies such as the Moon or Mars, however, such systems are unavailable. Current methods for absolute localization of planetary rovers rely on time- and labor-intensive human visual matching of surface perspective features with satellite images. Relative localization also accumulates errors over time, with different methods estimating dissimilar locations (e.g., [1]). Thus, an absolute localization method that can quickly, automatically, and accurately reduce the position search space is of great benefit to future planetary exploration missions. This project [2] presents a new approach to localizing planetary rovers: training an artificial neural network to match surfaceperspective imagery to corresponding satellite maps. [less ▲]

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See detailAge differences in physical activity with regard to motivational regulation types in youth sport
Hutmacher, Djenna UL; Eckelt, Melanie UL; Bund, Andreas UL et al

Poster (2020, October 21)

A decline in physical activity (PA) with increasing age has been reported consistently (e.g., Bassett et al., 2015). In this sense, physical education (PE) has become a key issue to intercept youth, in ... [more ▼]

A decline in physical activity (PA) with increasing age has been reported consistently (e.g., Bassett et al., 2015). In this sense, physical education (PE) has become a key issue to intercept youth, in order to promote PA at an early age. To reduce the research gap with regard to the underlying mechanisms of this decline, we investigated the role of age for motivational aspects of the self-determination theory (Deci & Ryan, 2000) concerning scholars’ basic needs (competence, relatedness, autonomy; Vlachopoulos, Ntoumanis, & Smith, 2010), PE teacher need-support (Standage, Duda, & Ntoumanis, 2005), and different motivational regulation types during PE (Vlachopoulos, Katartzi, Kontou, Moustaka, & Goudas, 2011). As a transfer of motivational regulation types from PE towards a leisure-time context has been found (Hagger & Chatzisarantis, 2016), this study furthermore analyzed the role of age in an out-of-school PA environment (Markland & Tobin, 2004). In total, 1889 scholars (50.9% males; 10 to 23 years) from 14 different schools participated in the study. Consistent with previous findings, the self-reported PA decreased with age. Further regression analysis revealed that the feeling of being competent during PE decreased with age, while the feeling of being autonomous increased. No differences regarding age and need-support during PE were found. Regarding the motivational regulation types during PE, the internal motivation decreased with age, while the external motivation increased. Concerning the leisure-time context, all motivational regulation types towards PA decreased with age. SEM-Models confirmed the significant relationship between motivational regulation types from PE to a leisure-time context. Overall, results suggest that a decrease of PA with age might be related to a decrease of internal motivation forms as years go by. Implications for promoting beneficial motivational regulation types during PE related to the age of scholars will be displayed. [less ▲]

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See detailThe Job demands-resources model: A validation with employees working in Luxembourg
Fernandez de Henestrosa, Martha UL; Sischka, Philipp UL; Steffgen, Georges UL

Poster (2020, September 02)

Purpose: The present study aimed to validate the job demands-resources model (Bakker & Demerouti, 2017) among a representative sample of the worker population in Luxembourg. Moreover, our purpose was to ... [more ▼]

Purpose: The present study aimed to validate the job demands-resources model (Bakker & Demerouti, 2017) among a representative sample of the worker population in Luxembourg. Moreover, our purpose was to identify which specific job demands and resources contribute the most to burnout and work engagement, respectively. Design: Data were collected via computer assisted telephone and web interview in a large sample of 1689 employees working in Luxembourg (55.2% male, Mage = 44.1, SDage = 10.3). Most participants worked in academic professions (31.4%, n = 531), followed by technicians and associate professionals (24.0%, n = 406), clerical support workers (11.7%, n = 197) and others (32.86%, n = 555). We employed the Quality of Work Index – Luxembourg (QoWIL) to measure several areas of work, including work intensity, job design, physical and social conditions (Sischka & Steffgen, 2019). Additionally, different employment conditions were measured to get an indicator of the employment quality in Luxembourg. Findings: Results of latent moderated structural equation modelling (LMS) indicated a good fit of the model to the data, χ2(411) = 1738.017, RMSEA = .04 (95% CI = 0.04 - 0.05), CFI =.92, SRMR = .06. All job resources (i.e. social support, autonomy and job security) significantly predicted work engagement, whereas all demands (i.e. workplace mobbing, work-life inference, emotional demands) significantly predicted burnout. Particularly, social support was the most important resource (ß = .29, p < .001, R2 = 11.4%), followed by job security (ß = .17, p < .001, R2 = 3.9%) and autonomy (ß = .11, p < .001, R2 = 1.4%). Workplace mobbing explained the largest percentage of variance in burnout (ß =. 47, p < .001, R2 = 41.6%), followed by work home inference (ß = .30, p < .001, R2 = 13.0%) and emotional demands (ß = 15, p < .001, R2 = 2.2%). While burnout had a negative impact on job performance (ß = -18, p < .001), work engagement did not predict the latter (ß = .07, p > .05). Besides, only one out of nine hypothesized interaction effects had a significant effect on work engagement (i.e. social support x mobbing, ß = 0.15, p < .001) and on burnout (i.e. social support x emotional demands, ß = -0.08, p < .05). Conclusion: Whereas the present findings provided strong support for the motivational and health impairment processes proposed by the JDR model, we found limited support for the interaction hypotheses. The results outline the importance of social conditions in explaining employees’ health, illustrating important starting points for organizational interventions that aim to promote well-being. Contributions: While other studies have tested the propositions of the JDR model by focusing on different work sectors, the present study includes a more comprehensive range of occupations,classified according to the ISCO-08. Given its large data set, it provides enough statistical support to detect interaction effects and allows for the correction of measurement errors using LMS. Furthermore, it follows the parsimony principle by specifying the most important starting points for interventions across occupations. [less ▲]

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See detailImproving open data accessibility through package development and community work
Kozlowski, Diego UL; Tiscornia, Pablo; Weksler, Guido et al

Poster (2020, July)

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See detailImplicit Attitudes and Beliefs about Diversity (Cancelled due to COVID-19)
Stogianni, Maria UL; Grohmann, Lara; Kremer, Marina et al

Poster (2020, June)

Short abstract: The study examined attitudes towards multiculturalism in two European countries (Germany and Luxembourg). The findings reveal a positive relationship between implicit and explicit ... [more ▼]

Short abstract: The study examined attitudes towards multiculturalism in two European countries (Germany and Luxembourg). The findings reveal a positive relationship between implicit and explicit attitudes. Between group differences in the endorsement of diversity ideologies can be attributed to personality and biographical factors. [less ▲]

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See detailPromoting Elementary-School Teachers’ Diagnostic Skills to Recognize their Students’ Academic Potential
Krischler, Mireille UL; Breit, Moritz; Preckel, Franzis

Poster (2020, April)

We present a five-year project aimed at improving teachers’ skills to detect mathematical and scientific talent in elementary school students. Within the project, teachers from 23 German schools and ... [more ▼]

We present a five-year project aimed at improving teachers’ skills to detect mathematical and scientific talent in elementary school students. Within the project, teachers from 23 German schools and researchers cooperate to extend teachers’ diagnostic competencies, substantiate their practices scientifically, and to learn from each other’s experiences in the detection and promotion of STEM talent (i.e. networked improvement community). The project is theoretically based on domain- specific talent development models for mathematics and natural science. In the course of the project, teachers interact with e-learning modules, participate in training sessions, attend workshops that bridge scientific theory and educational practice, and regularly evaluate these components of the project. We present the conceptualization of the project as well as first results. [less ▲]

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See detailDoes Conscientiousness Matter for Academic Success? Considering Different Facets of Conscientiousness and Different Educational Outcomes
Franzen, Patrick UL; van der Westhuizen, Lindie UL; Arens, A. Katrin et al

Poster (2020, April)

Conscientiousness is the strongest BIG-5 predictor of academic success. Both conscientiousness and academic success are broad concepts, consisting of multiple lower level facets. Conscientiousness facets ... [more ▼]

Conscientiousness is the strongest BIG-5 predictor of academic success. Both conscientiousness and academic success are broad concepts, consisting of multiple lower level facets. Conscientiousness facets might display differential relations to different indicators of academic success. To investigate these relations, conscientiousness facets need to be measured in an economic and valid way. We conducted two studies, validating a short conscientiousness scale measuring seven facets of conscientiousness (Industriousness, Task Planning, Perfectionism, Procrastination Refrainment, Tidiness, Control, Cautiousness), and testing the relations of these facets with GPA, test scores, school satisfaction, and engagement. The results supported the validity of the scale. Industriousness, Perfectionism, and Cautiousness revealed the highest relations to academic outcomes. GPA and test scores showed differential associations with the different conscientiousness facets. [less ▲]

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See detailProgramme Démence Prévention (pdp ): A Nation-Wide Programme for Dementia Prevention in Luxembourg
Schröder, Valerie UL; Kaysen, Anne UL; Fritz, Joëlle UL et al

Poster (2020, April)

Objectives: To implement a multi-year nation-wide programme, by the means of a personalised lifestyle intervention, to prevent or to delay cognitive decline that can contribute to development of dementia ... [more ▼]

Objectives: To implement a multi-year nation-wide programme, by the means of a personalised lifestyle intervention, to prevent or to delay cognitive decline that can contribute to development of dementia in Luxembourg. Methods: Participants with mild cognitive impairment, referred to the programme by their treating physician, undergo an extensive cognitive evaluation by a neuropsychologist on relevant neuropsychological domains as well as a structured dementia risk factor assessment. Based on these assessments, individualised lifestyle interventions are offered by diverse national partners involved in the programme, thus filling a gap of not yet reimbursed services in the Luxemburgish healthcare system. After the personalised lifestyle interventions, each participant will undergo a neuropsychological follow-up in order to re-evaluate his/her health status in terms of cognition. Results: We established a participant-centred national network by presenting the programme on many outreach events and efficient stakeholder communication. The network raises the awareness of dementia prevention in the Luxembourgish population, fosters interdisciplinary communication between individual medical and non-medical healthcare professionals and allows for a successful recruitment of the target population. Moreover, we collect information about adherence to the suggested lifestyle changes, as well as the effectiveness of our interventions in reducing risk factors contributing to the onset of dementia. Conclusions: We provide evidence for the feasibility of the implementation of a nation-wide dementia prevention programme including diverse partners offering personalised lifestyle interventions, which are easily transferrable to other countries. Future results from this programme may also help to integrate prevention interventions into the regular healthcare system. [less ▲]

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See detailUnderstanding the role of Fusobacterium nucleatum metabolism in colon cancer initiation and progression
Ternes, Dominik UL; Karta, Jessica UL; Tsenkova, Mina UL et al

Poster (2020, February 22)

Accumulating evidence suggests that dysbiosis, a state of pathological imbalance in the human gut microbiome, is present in patients suffering from colorectal cancer (CRC). 16S rRNA gene sequencing, as ... [more ▼]

Accumulating evidence suggests that dysbiosis, a state of pathological imbalance in the human gut microbiome, is present in patients suffering from colorectal cancer (CRC). 16S rRNA gene sequencing, as well as metagenomic and metatranscriptomic analyses, identified specific bacteria being associated with CRC. Among others, Fusobacterium ssp. have been found to directly interact with cancer or immune cells of their host. However, only a limited number of CRC-associated microbes have been examined for host-microbial interactions and, as such, the role of bacteria in the etiology of the disease remains largely elusive. Our aim is the development of predictive and experimental models that allow to not only study the host-microbiota interactions but are also amenable to high-throughput experimentation and large-scale omics-data integration. Ultimately, such models should help to get from meta-omics to cellular mechanism and, moreover, serve as tools for reproducible analyses of host-microbial interaction mechanisms of on a transcriptomic, proteomic, and metabolomic level. Our research proposes an integrative study approach allowing us to bridge meta-omics with functional mechanisms by focusing on the interaction taking place between F. nucleatum and patient-derived CRC cells. [less ▲]

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See detailPIAF : développer la Pensée Informatique et Algorithmique dans l'enseignement Fondamental
Busana, Gilbert UL; Denis, Brigitte; Duflot-Kremer, Marie et al

Poster (2020, February 06)

Dans cet article, nous présentons les objectifs et premières réalisations du projet PIAF soutenu par l’Union Européenne et visant à développer l’apprentissage de la pensée informatique et algorithmique ... [more ▼]

Dans cet article, nous présentons les objectifs et premières réalisations du projet PIAF soutenu par l’Union Européenne et visant à développer l’apprentissage de la pensée informatique et algorithmique dans l’enseignement fondamental. Ce projet rassemble des chercheur·e·s en sciences de l’éducation et en informatique, provenant de quatre pays (Allemagne, Belgique, France et Luxembourg), autour du thème de la formation des enseignant·e·s. Plus concrètement, il s’agit de définir un cadre (référentiel de compétences, scénarios pédagogiques) permettant aux enseignant·e·s de (i) s’approprier le concept de pensée informatique et algorithmique et de (ii) mettre en œuvre des activités d’apprentissage favorisant le développement de cette pensée chez l’enfant. [less ▲]

Detailed reference viewed: 105 (12 UL)
See detailTalententwicklung in Mathematik und Naturwissenschaft in der Grundschule
Breit, Moritz; Mack, Elena; Gnas, Jessica et al

Poster (2020, February)

Detailed reference viewed: 32 (0 UL)
See detailDiagnostische Kompetenz von Lehrpersonen in der Grundschule
Mack, Elena; Breit, Moritz; Gnas, Jessica et al

Poster (2020, February)

Detailed reference viewed: 36 (0 UL)
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See detailReal Time Holding Control for Multiline Networks
Laskaris, Georgios UL; Cats, Oded; Jenelius, Erik et al

Poster (2020, January 12)

We introduce a rule based multiline holding criterion for regularity in branch and trunk networks accounting for all passenger groups. On the shared transit corridor, we consider synchronization at the ... [more ▼]

We introduce a rule based multiline holding criterion for regularity in branch and trunk networks accounting for all passenger groups. On the shared transit corridor, we consider synchronization at the merging or the diverging stop. The decision between holding for regularity or synchronization is taken by comparing the expected passenger cost of each control action. The proposed criterion is tested through simulation in a synthetic double fork network with different shares of transferring passengers, control schemes for regularity and synchronization. The results show that multiline control outperforms the state of the art schemes at the network level, stemming from benefits occurring at the first part of the route and the shared transit corridor and a 3.5% more stable joint headway compared to the other schemes. Additionally, it is advised to perform the synchronization at the diverging stop, as it proves to result in a more stable transferring time equal to the joint frequency of the corridor while reducing the transfer time variability up to -42.7%. [less ▲]

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See detailForeseeing Semi-Persistent Scheduling in Mode-4 for 5G enhanced V2X communication
Jubba Honnaiah, Puneeth UL; Maturo, Nicola; Chatzinotas, Symeon UL

Poster (2020)

One of the most dominant applications of Ultra Reliable Low Latency Communication of 5G-NR is V2X communication. For such latency-critical V2X communication, the distributed resource allocation using Semi ... [more ▼]

One of the most dominant applications of Ultra Reliable Low Latency Communication of 5G-NR is V2X communication. For such latency-critical V2X communication, the distributed resource allocation using Semi-Persistent Scheduling (SPS) algorithm designed for out-of-coverage (Mode-4) scenario leads to a high collision probability and requires profuse sensing processes. Therefore, a need for more efficient distributed resource allocation scheme is compelled. In this paper, we investigate the 3GPP proposed SPS scheduling algorithm for its performance and formulate the problem under partial sensing systems. Furthermore, we propose a Foreseeing Semi-Persistent Scheduling (F-SPS) algorithm as an enhancement to the existing methodology, and conclusively, simulations are presented to illustrate the improved performance of the proposed F-SPS scheme in terms of reduced collision probability with an optimised number of sensing processes. [less ▲]

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See detailDesigning different features of an interactive tabletop application to support collaborative problem-solving
Afkari, Hoorieh; Maquil, Valérie; Arend, Béatrice UL et al

Poster (2020)

The design space of tangible and multi-touch tabletop interfaces is complex, and little is known about how the different characteristics of tangible and multi-touch interactive features affect collabora ... [more ▼]

The design space of tangible and multi-touch tabletop interfaces is complex, and little is known about how the different characteristics of tangible and multi-touch interactive features affect collabora- tion strategies. With this work, we report on five different features designed for an interactive tabletop application to support collabo- rative problem-solving. We present the design details and describe preliminary results obtained from a user study with 15 participants. [less ▲]

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See detailFlavors of Boolean network reprogramming in the CoLoMoTo notebook environment.
Biane, Célia; Deritei, David; Rozum, Jordan et al

Poster (2020)

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See detailConsolidating Observation of Land and Sea Level Changes around South Georgia Island
Teferle, Felix Norman UL; Hunegnaw, Addisu UL; Hibbert, Angela et al

Poster (2019, December 13)

With its mid-ocean location in the Southern Atlantic Ocean South Georgia Island is in a key position for the oceanic and geodetic global monitoring networks. Since 2013 the tide gauge at King Edward Point ... [more ▼]

With its mid-ocean location in the Southern Atlantic Ocean South Georgia Island is in a key position for the oceanic and geodetic global monitoring networks. Since 2013 the tide gauge at King Edward Point (KEP) with GLOSS ID 187 has been monitored using a GNSS station nearby on Brown Mountain. By accurately geo-referencing the tide gauge and monitoring any vertical land movements, a continuous record of its datum within the Permanent Service for Mean Sea Level (PSMSL) can be established, which in turn makes the recorded and averaged sea levels useful for long-term studies and satellite altimetry calibrations. In 2014 another GNSS station was installed at KEP after local subsidence was sus-pected and later on three additional GNSS stations came to service at the periphery of the main island, making it possible to monitor uplift/subsidence wider afield. Further-more, together with four precise levelling campaigns of the KEP benchmark network in 2013, 2014 and two in 2017, it has also been possible to investigate the very local character of the vertical motions near KEP, i.e. the stability of the jetty upon which the tide gauge is mounted. In this study, we will present the results from the GNSS and precise levelling meas-urements, and will discuss their impact on the sea level record from the KEP tide gauge and nearby satellite altimetry sea surface heights. This study comes at a timely manner as during the Austral Summer 2019/2020 the jetty will be stabilized and en-larged, and consequently the current tide gauge will be replaced by a new one. Our measurements show that uplift is observed all over South Georgia Island while the ar-ea at KEP and particularly the jetty with tide gauge are subsiding relative to the rest of the island. In contrast, results for the tide gauge record show a lower magnitude of ob-served sea level rise than expected from nearby satellite altimetry. We will revisit all geodetic and oceanic observations in an attempt to improve the agreement between these measurements to summarize the status before the work at the jetty begins. [less ▲]

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See detailTracking hurricanes Harvey and Irma using GPS tropospheric products
Ejigu, Yohannes Getachew; Teferle, Felix Norman UL; Hunegnaw, Addisu UL et al

Poster (2019, December 10)

The 2017 Hurricanes season was one of the most powerful severe weather events producing catastrophic socio-economic and environmental effects on the east coast of the United States. Therefore, tracking ... [more ▼]

The 2017 Hurricanes season was one of the most powerful severe weather events producing catastrophic socio-economic and environmental effects on the east coast of the United States. Therefore, tracking their path accurately is extremely useful. Today Global Navigation Satellite Systems (GNSS) tropospheric products, such as Zenith Wet Delays (ZWD), and Integrated Water Vapor (IWV) are used as complementary data sets in Numerical Weather Prediction (NWP) models. In this study, we employed GPS-derived IWV and horizontal tropospheric gradient information to monitor and investigate the complicated characteristics of hurricane events in their spatial and temporal distribution using a dense ground network of GPS stations. Our results show that a surge in GPS-derived IWV occurred several hours prior to the manifestation of the major hurricanes Harvey and Irma. We used the derived GPS-derived IWV information as input to spaghetti lines weather models, allowing us to predict the paths of Harvey and Irma hurricanes. As such, a parameter directly estimated from GPS can provide an additional resource for improving the monitoring of hurricane paths [less ▲]

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See detailFrom tech to bench: Deep Learning pipeline for image segmentation of high-throughput high-content microscopy data
Garcia Santa Cruz, Beatriz UL; Jarazo, Javier UL; Saraiva, Claudia UL et al

Poster (2019, November 29)

Automation of biological image analysis is essential to boost biomedical research. The study of complex diseases such as neurodegenerative diseases calls for big amounts of data to build models towards ... [more ▼]

Automation of biological image analysis is essential to boost biomedical research. The study of complex diseases such as neurodegenerative diseases calls for big amounts of data to build models towards precision medicine. Such data acquisition is feasible in the context of high-throughput screening in which the quality of the results relays on the accuracy of image analysis. Although the state-of-the-art solutions for image segmentation employ deep learning approaches, the high cost of manual data curation is hampering the real use in current biomedical research laboratories. Here, we propose a pipeline that employs deep learning not only to conduct accurate segmentation but also to assist with the creation of high-quality datasets in a less time-consuming solution for the experts. Weakly-labelled datasets are becoming a common alternative as a starting point to develop real-world solutions. Traditional approaches based on classical multimedia signal processing were employed to generate a pipeline specifically optimized for the high-throughput screening images of iPSC fused with rosella biosensor. Such pipeline produced good segmentation results but with several inaccuracies. We employed the weakly-labelled masks produced in this pipeline to train a multiclass semantic segmentation CNN solution based on U-net architecture. Since a strong class imbalance was detected between the classes, we employed a class sensitive cost function: Dice coe!cient. Next, we evaluated the accuracy between the weakly-labelled data and the trained network segmentation using double-blind tests conducted by experts in cell biology with experience in this type of images; as well as traditional metrics to evaluate the quality of the segmentation using manually curated segmentations by cell biology experts. In all the evaluations the prediction of the neural network overcomes the weakly-labelled data quality segmentation. Another big handicap that complicates the use of deep learning solutions in wet lab environments is the lack of user-friendly tools for non-computational experts such as biologists. To complete our solution, we integrated the trained network on a GUI built on MATLAB environment with non-programming requirements for the user. This integration allows conducting semantic segmentation of microscopy images in a few seconds. In addition, thanks to the patch-based approach it can be employed in images with different sizes. Finally, the human-experts can correct the potential inaccuracies of the prediction in a simple interactive way which can be easily stored and employed to re-train the network to improve its accuracy. In conclusion, our solution focuses on two important bottlenecks to translate leading-edge technologies in computer vision to biomedical research: On one hand, the effortless obtention of high-quality datasets with expertise supervision taking advantage of the proven ability of our CNN solution to generalize from weakly-labelled inaccuracies. On the other hand, the ease of use provided by the GUI integration of our solution to both segment images and interact with the predicted output. Overall this approach looks promising for fast adaptability to new scenarios. [less ▲]

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See detailToward fluid-structure-piezoelectric simulations applied to flow-induced energy harvesters
Hoareau, Christophe UL; Shang, Lan UL; Zilian, Andreas UL

Poster (2019, November 15)

The subject deals with the simulation of flow-induced energy harvesters. We focus in particular on the modelling of autonomous piezo-ceramic power generators to convert ambient fluid-flow energy into ... [more ▼]

The subject deals with the simulation of flow-induced energy harvesters. We focus in particular on the modelling of autonomous piezo-ceramic power generators to convert ambient fluid-flow energy into electrical energy. The vibrations of an immersed electromechanical structure with large amplitude have to be taken into account in that case. One challenge consists in modelling and predicting the nonlinear coupled dynamic behaviour for the improved design of such devices. The set of governing equations is expressed in integral form, using the method of weighted residuals, and discretized with finite elements using the open source package FEniCS. Preliminary results of separated problems using FEniCS will be detailed and discussed (e.g. Navier-Stokes with or without moving meshes, nonlinear elasticity, aeroelasticity and electromechanical coupling). The objective is to validate each problem independently before coupling all the phenomena in a monolithic framework. Those simulations involve nonlinearities at many levels of modeling. The perspective of using reduced order models to limit the computational cost (in time and memory) will be discussed in an outlook to this work. [less ▲]

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See detailPOSTER: Traffic Splitting to Counter Website Fingerprinting
de La Cadena Ramos, Augusto Wladimir UL; Mitseva, Asya UL; Pennekamp, Jan et al

Poster (2019, November 11)

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See detailThe stability of academic self-concept profiles – a latent transition analysis
Franzen, Patrick UL; Arens, A. Katrin; Niepel, Christoph UL

Poster (2019, November 06)

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See detailConsistent Rational Argumentation in Politics (CRAP)
Benzmüller, Christoph UL; Steen, Alexander UL

Poster (2019, November)

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See detailDeep Learning Quality Control for High-Throughput High-Content Screening Microscopy Images
Garcia Santa Cruz, Beatriz UL; Jarazo, Javier UL; Schwamborn, Jens Christian UL et al

Poster (2019, October 10)

Automation of biological image analysis is essential to boost biomedical research. The study of complex diseases such as neurodegenerative diseases calls for big amounts of data to build models towards ... [more ▼]

Automation of biological image analysis is essential to boost biomedical research. The study of complex diseases such as neurodegenerative diseases calls for big amounts of data to build models towards precision medicine. Such data acquisition is feasible in the context of high-throughput high-content screening (HTHCS) in which the quality of the results relays on the accuracy of image analysis. Deep learning (DL) yields great performance in image analysis tasks especially with big amounts of data such as the produced in HTHCS contexts. Such DL and HTHCS strength is also their biggest weakness since DL solutions are highly sensitive to bad quality datasets. Hence, accurate Quality Control (QC) for microscopy HTHCS becomes an essential step to obtain reliable pipelines for HTHCS analysis. Usually, artifacts found on these platforms are the consequence of out-of-focus and undesirable density variations. The importance of accurate outlier detection becomes essential for both the training process of generic ML solutions (i.e. segmentation or classification) and the QC of the input data such solution will predict on. Moreover, during the QC of the input dataset, we aim not only to discard unsuitable images but to report the user on the quality of its dataset giving the user the choice to keep or discard the bad images. To build the QC solution we employed fluorescent microscopy images of rosella biosensor generated in the HTHCS platform. A total of 15 planes ranging from -6z to +7z steps to the two optimum planes. We evaluated 27 known focus measure operators and concluded that they have low sensitivity in noisy conditions. We propose a CNN solution which predicts the focus error based on the distance to the optimal plane, outperforming the evaluated focus operators. This QC allows for better results in cell segmentation models based on U-Net architecture as well as promising improvements in image classification tasks. [less ▲]

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See detailBig Automotive Data Preprocessing: A Three Stages Approach
Tawakuli, Amal UL; Kaiser, Daniel UL; Engel, Thomas UL

Poster (2019, October 08)

The automotive industry generates large datasets of various formats, uncertainties and frequencies. To exploit Automotive Big Data, the data needs to be connected, fused and preprocessed to quality ... [more ▼]

The automotive industry generates large datasets of various formats, uncertainties and frequencies. To exploit Automotive Big Data, the data needs to be connected, fused and preprocessed to quality datasets before being used for production and business processes. Data preprocessing tasks are typically expensive, tightly coupled with their intended AI algorithms and are done manually by domain experts. Hence there is a need to automate data preprocessing to seamlessly generate cleaner data. We intend to introduce a generic data preprocessing framework that handles vehicle-to-everything (V2X) data streams and dynamic updates. We intend to decentralize and automate data preprocessing by leveraging edge computing with the objective of progressively improving the quality of the dataflow within edge components (vehicles) and onto the cloud. [less ▲]

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See detailThe impact of resilience on perceived chronic stress in undergraduate psychology students
Lenz, Hannah; Steffgen, Georges UL

Poster (2019, September 26)

The purpose of this exploratory study was to analyze the relationship between academic stressors and chronic stress in undergraduate psychology students, and to identify whether resilience and/or social ... [more ▼]

The purpose of this exploratory study was to analyze the relationship between academic stressors and chronic stress in undergraduate psychology students, and to identify whether resilience and/or social support function as mediators amid this relationship. Students from the University of Luxembourg and the University of Trier (N = 152) were recruited to fill out an online questionnaire consisting of the Trier inventory of chronic stress (Schulz et al., 2004), the resilience scale (Leppert et al., 2008), the perceived social support scale (Kliem et al., 2015), and five dimensions of academic stressors (Herbst et al., 2016). Results show a positive correlation between academic stressors and chronic stress. Multiple regression analysis prove that neither gender, home university, additional occupation nor social support are significant predictors of chronic stress. Compared to academic stressors and resilience, which account for more than 56% of the variance of students’ experienced chronic stress. Furthermore, academic stressors and chronic stress are mediated by resilience but not by perceived social support. The implications of the findings are discussed in terms of their relevance for the development of intervention programs against chronic stress of undergraduate students. [less ▲]

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See detailPhysical activity of children and adolescents in Luxembourg during school, physical education and leisure time: An accelerometry-based study
Eckelt, Melanie UL; Bund, Andreas UL; Hutmacher, Djenna UL et al

Poster (2019, September 13)

Objectives: Due to its great importance for development and health, the physical activity (PA) of children has become a key issue in research over the last decade. Simultaneously, the measurement of PA ... [more ▼]

Objectives: Due to its great importance for development and health, the physical activity (PA) of children has become a key issue in research over the last decade. Simultaneously, the measurement of PA has been strongly improved through the development of user-friendly and reliably working accelerometer, which allow to track PA over several consecutive days in an objective way. Although the benefits of accelerometry are well documented also for children (e.g. Hager et al., 2015), especially cross-national studies such as the Health Behaviour in School-aged Children (HBSC) are still using questionnaires and are focused only on overall or leisure time PA. This study as part of the PALUX project (Physical Activity of Children and Youth in Luxembourg) aims to (1) measure children's daily PA patterns using up-to-date accelerometers while (2) differentiating between PA in school, physical education and leisure time. Methods: In total, 242 children and adolescents (134 girls and 108 boys) aged from 10-18 years from 9 different schools in Luxembourg wore the ActiGraph GT3X-BT- accelerometer at the hip for a period of seven consecutive days. Total time in moderate-to-vigorous PA (MVPA) was calculated using the cut-of points from Evenson et al. (2008). Time spent in school and physical education were determined based on timetables provided by the schools. Results: Mean overall MVPA of participants over seven consecutive days was 307.6 min, with 98.4 min (32 %) during school time and 190.7 min (62 %) during leisure time. Only 16.7 min (6 %) of the school time MVPA were performed in physical education. Boys had more overall MVPA than girls (367.9 vs. 258.9 min, t(240) = 6.76, p < .01) due to significant differences in all areas considered here (schooltime: t(215) = 6.26, p < .01; leisure time: t(215) = 6.18, p < .01; physical education: t(188) = 3.07, p < .01). Children spent 25.6 min of an average physical education class of 77 min in MVPA, which is 19.71 % and thus much less than the 50 % recommended by the U.S. Department for Health and Human Sciences. Only 0.5% of the participants (1.2% of the boys and 0% of the girls) achieved this value. Discussion: Overall, 25.6 % of the children and adolescents in Luxembourg met WHO's PA guideline of at least 60 min MVPA per day, which is in line with results from other European countries. According to our data, the achieved MVPA is mainly due to leisure time activities, whereas the potential of school and physical education in providing and promoting PA has apparently not been fully exploited yet. The consistency of these findings will be examined in a second survey in 2019 [less ▲]

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See detailInteroceptive accuracy in preschool - aged children: The Jumping Jack Paradigm (JJP)
Opdensteinen, K.; Schaan, L.; Pohl, A. et al

Poster (2019, September 11)

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See detailThe destruction of distraction? Neural mechanisms of reduced task-related analgesia with aging.
Rischer, Katharina Miriam UL; Dierolf, Angelika UL; Gonzalez-Roldan, Ana Maria et al

Poster (2019, September 06)

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See detailImpact of teaching methods for reading on neural tuning to words in young poor readers
Lochy, Aliette UL; van de Walle de Ghelcke, Alice; Schiltz, Christine UL

Poster (2019, September)

The impact of teaching methods on the left hemispheric (LH) specialization for reading in children remains unknown. We tested 42 first graders (mean age: 6.08 years) from schools using both a phonic and a ... [more ▼]

The impact of teaching methods on the left hemispheric (LH) specialization for reading in children remains unknown. We tested 42 first graders (mean age: 6.08 years) from schools using both a phonic and a global method in parallel, behaviorally and with Fast Periodic Visual Stimulation using electroencephalography. 40-sec strings of pseudofonts were displayed at 6Hz, in which were periodically displayed (1.2Hz) either words taught at school with whole-word form rote-learning (global method) or control pseudowords eliciting grapheme-phoneme mappings (phonic method). Control pseudowords elicited LH responses whatever the reading ability. For global words, a difference emerged as a function of group: in good and average readers, responses were stronger in the LH, while in poor readers, global words elicited an atypical bilateral neural pattern due to reduced response amplitude in the LH. These results suggest that difficulties in automatizing GP mappings induce reliance on an alternative visual strategy when available. [less ▲]

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See detailCommunication with father and mother differently impacts suicidal behaviour
Catunda, Carolina UL; van Duin, Claire UL; Heinz, Andreas UL et al

Poster (2019, September)

Background: Positive relationships with parents can reduce the risk of suicidal behaviour in adolescents. Previous research has indicated that adolescents who report poor communication with their parents ... [more ▼]

Background: Positive relationships with parents can reduce the risk of suicidal behaviour in adolescents. Previous research has indicated that adolescents who report poor communication with their parents are more likely to display suicidal behaviour. The aim of this study is to find out whether communication with the father or mother is equally important for suicidal behaviour. Methods: A total of 5595 students aged from 12 to 18 years old in secondary school participated in the 2014 HBSC Luxembourg survey. They responded to a questionnaire including, among others: 4 questions regarding sadness, suicide ideation, planning and attempt, and 2 questions about ease of communication with their father and mother. Findings: Adolescents who indicate poorer communication with their mother or father have higher odds for all suicidal behaviours. Poor communication with fathers has a bigger influence on the odds for sadness, whereas poor communication with mothers has a bigger influence on the odds for attempted suicide. Lastly, adolescents who don`t have or don`t see their mother or father are at increased risk for the suicidal behaviours, although the odds are not as high as for those indicating very difficult communication with their parent(s). Discussion: The Luxembourgish findings confirm the results of previous research and go further showing that, as a determinant, communication with mother differs from the communication with father. More studies should confirm these findings and include other variables, such as social support and stress, in order to see their relation with the communication with both parental figures and suicidal behaviours. [less ▲]

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See detailAssociations between perceived discrimination and life satisfaction: An ecological momentary assessment pilot study of adolescents
Stogianni, Maria UL; Murdock, Elke UL

Poster (2019, August 31)

Perceived discrimination is an important predictor of life satisfaction in ethnic minority groups (Villegas-Gold & Hyung Chol Yoo, 2014). Discriminatory practices are related to lower levels of subjective ... [more ▼]

Perceived discrimination is an important predictor of life satisfaction in ethnic minority groups (Villegas-Gold & Hyung Chol Yoo, 2014). Discriminatory practices are related to lower levels of subjective well-being and greater anxiety (Clark, Anderson, Clark, & Williams, 1999). The present study aims to extend these findings by assessing the affective consequences of perceived discrimination with the use of experience sampling methodology. We are interested in within person changes in subjective well-being that occur as a result of perceived discrimination. International high-school students (N = 30) attending at European school of Luxembourg were recruited to participate in an e-diary study for a period of 10 days. Participants were first and second generation immigrants (Mage = 14.63, SD = .62) from different European and non-European countries, growing up in multicultural Luxembourg. Perceptions of discrimination by peers and teachers were assessed with a self-report questionnaire daily after school. Our measures captured different experiences of discrimination including discrimination based on gender, social status, ethnic origin, and physical appearance. Each evening, participants completed the Brief Multidimensional Students’ Life Satisfaction Scales (BMSLSS), which assesses satisfaction with life in general and satisfaction in five domains that are considered important for adolescents: self, family, friends, living environment, and school context. The findings suggest that experiences of discrimination were associated with lower levels of subjective well-being. Participants were less satisfied with themselves, their relationships, and their school environment during the days they reported higher levels of discrimination experiences. With this pilot study using ecological momentary assessment, we develop a more dynamic understanding of the within-person variability of different facets of well-being among first and second generation adolescent immigrants and their discrimination experiences in different domains. [less ▲]

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