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See detailScience Inequalities
Kozlowski, Diego UL

Poster (2021, May 21)

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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 detailIndividually Tailored Neurofeedback
Uslu, Sinan UL

Poster (2021, May 21)

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

Poster (2021, February 05)

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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)

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 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

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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 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 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 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 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 ▲]

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See detailTalententwicklung in Mathematik und Naturwissenschaft in der Grundschule
Breit, Moritz; Mack, Elena; Gnas, Jessica et al

Poster (2020, February)

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See detailDiagnostische Kompetenz von Lehrpersonen in der Grundschule
Mack, Elena; Breit, Moritz; Gnas, Jessica et al

Poster (2020, February)

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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 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 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 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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Peer Reviewed
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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See detailHow is parental activity related to children's physical activity behavior?
Hutmacher, Djenna UL; Eckelt, Melanie UL; Bund, Andreas UL et al

Poster (2019, July 18)

Objectives: Social support from parents is considered a primary influence of youth’ physical activity (PA; Beets, Cardinal & Alderman, 2010). However, the mechanisms of parental influence are still poorly ... [more ▼]

Objectives: Social support from parents is considered a primary influence of youth’ physical activity (PA; Beets, Cardinal & Alderman, 2010). However, the mechanisms of parental influence are still poorly understood. As the theory of planned behavior (TPB; Ajzen, 1985) is a well-supported theoretical framework to study youth’ engaging in PA, this study wants to investigate if an increased PA of the parents is enhancing the PA of their children and is related to different constructs of the TPB. Method: 264 students (52,6% females) from 11 to 21 years participated in the study. Via a digital questionnaire the students indicated if they are active at least 60 minutes a day, if their mother and father is physically active on a regular basis and if they are active together with their parents. Regarding the TPB, attitudes, subjective norms, perceived behavioral control and intentions towards PA were assessed (Hagger, Chatzisarantis, Culverhouse & Biddle, 2003). Results: A multivariate ANOVA revealed that children reported higher PA rates, more intense attitudes and higher subjective norms towards PA when the father was physically active and when being active together with their parents. However, the perceived behavioral control was higher when children indicated that their mother was physically active. Discussion: As expected, results suggest that the reported PA of parents are related to the self-reported PA of children, and furthermore to the different constructs of the TPB. Especially fathers seem to be an important role model regarding PA, attitudes and subjective norms toward PA. [less ▲]

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See detailFacial perception and implicit prejudice: An eye-tracking study
Stogianni, Maria UL

Poster (2019, July 09)

Racial bias can affect the way of processing visual stimuli that are targets of prejudice. Different levels of prejudice and the type of prejudice (implicit vs. explicit) were related to automatic and ... [more ▼]

Racial bias can affect the way of processing visual stimuli that are targets of prejudice. Different levels of prejudice and the type of prejudice (implicit vs. explicit) were related to automatic and controlled processes of visual exploration (Hansen Rakhshan, Ho, & Pannasch, 2015). The proposed study aims to extend these findings by including pictures of individuals that belong to different racial and ethnic groups (White, Asian, Black, Latino) and vary in prototypical characteristics. Images of the Chicago Face Database will be presented in an online study. Eye movements will be recorded during the presentation of visual stimuli. We will examine differences in exploratory looking behavior among natives in a western European country and individuals with migratory background. [less ▲]

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See detailThe use of value-added models for the identification of schools that perform “against the odds”
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

Poster (2019, July)

Value-added (VA) modeling aims to quantify the effect of pedagogical actions on students’ achievement, independent of students’ backgrounds. VA modeling is primarily used for accountability and high ... [more ▼]

Value-added (VA) modeling aims to quantify the effect of pedagogical actions on students’ achievement, independent of students’ backgrounds. VA modeling is primarily used for accountability and high-stakes decisions. To date, there seems to be no consensus concerning the calculation of VA models. Our study aims to systematically analyze and compare different school VA models by using longitudinal large-scale data emerging from the Luxembourg School Monitoring Programme. Regarding the model covariates, first findings indicate the importance of language (i.e., language(s) spoken at home and prior language achievement) in VA models with either language or math achievement as a dependent variable, with the highest amount of explained variance in VA models for language. Concerning the congruence of different VA approaches, we found high correlations between school VA scores from the different models, but also high ranges between VA scores for single schools. We conclude that VA models should be used with caution and with awareness of the differences that may arise from methodological choices. Finally, we discuss the idea that VA models could be used for the identification of schools that perform “against the odds”, especially for those schools that have positive VA scores over several years. [less ▲]

Detailed reference viewed: 74 (5 UL)
See detailLuxCube the First CubeSat Student Satellite in Luxembourg
Rabbadan Santana, E; Weiss, T; Djordjevic, A et al

Poster (2019, June 15)

Detailed reference viewed: 29 (1 UL)
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See detailMagnetic Guinier Law
Malyeyev, Artem UL; Michels, Andreas UL

Poster (2019, June)

We introduce the Guinier law for the case of magnetic SANS and provide an analysis of experimental data on a Nd-Fe-B-based nanocomposite and on a rare-earth-free MnBi permanent magnet. The robustness of ... [more ▼]

We introduce the Guinier law for the case of magnetic SANS and provide an analysis of experimental data on a Nd-Fe-B-based nanocomposite and on a rare-earth-free MnBi permanent magnet. The robustness of this novel approach is discussed and the quantities derived are analyzed in the framework of the existing research literature. [less ▲]

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See detailErfassung von Merkmalen inklusiven Unterrichts mit der Experience Sampling Method
Knickenberg, Margarita; Zurbriggen, Carmen UL

Poster (2019, June)

Detailed reference viewed: 16 (0 UL)
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See detailOlder adult’s mental health networks: first results of the ARPA ageing project regarding expectations and needs of health professionals
Tournier, Isabelle UL; Hanon, Cécile; Vasseur-Bacle, Simon et al

Poster (2019, May 25)

The European project “ARPA ageing” (co-funded by the Erasmus+ strategic partnerships programme) aims to improve the efficiency of mental health networks for older people. In order to have a better ... [more ▼]

The European project “ARPA ageing” (co-funded by the Erasmus+ strategic partnerships programme) aims to improve the efficiency of mental health networks for older people. In order to have a better knowledge of the perceived strengths and weakness of these networks, we investigated by a survey the needs and expectations of health professionals such as geriatrists, nurses or nursing assistants. A questionnaire of 24 items with an estimated duration of 20 minutes was published online from the 1 March 2018 to the 1 April 2018 in Belgium, France, and Luxembourg. Preliminary data concern 90 health professionals (main categories: 15.6% of nurses, 10% of psychologists, 7.8% of geriatricians and 7.8% of nursing assistants) in the domain of mental health and/or elder care. Notably due to the fact that not all participants already worked with health networks, levels of “no answer” varied between 24.4% to 33.3 according the questions. First results on the total sample reveal that health professionals globally perceived health networks as beneficial to a holistic care approach and care continuity (both 51.1%), and to care access (48.9%). These networks were estimated as beneficial to the increase of professional knowledge regarding older adults (38.9%) and mental health (34.4%), and to the improvement of professional skills (38.9%). Main reported difficulties working with these networks were the lack of information about these networks (56.7%) and the related health professions (50.1%), the lack of time and financial compensation (both 36.7%), and of coordinating tools (36.7%). This study is being extended to more participants and countries (i.e., Greece and Romania) in order to have a larger and more representative understanding of the European situation and cultural differences regarding mental health networks. This information will guide the next steps of the ARPA ageing project: the development of a European Internet platform and the production of guidelines to facilitate the implementation and monitoring of efficient mental health networks in Europe. [less ▲]

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See detailSubjective Reasons for Using versus not Using Assistive Technologies in Aging Population: A Meta-Synthesis of Qualitative Studies
Abri, Diana UL; Boll, Thomas UL

Poster (2019, May 24)

The number of older people with limitations of activities of daily living in developing countries is predicted to increase by a factor of four between 2015 and 2050. One possibility to overcome such ... [more ▼]

The number of older people with limitations of activities of daily living in developing countries is predicted to increase by a factor of four between 2015 and 2050. One possibility to overcome such limitations is to promote the use of assistive technologies (ATs) in the aging population. Despite evident benefits of ATs in this context, the use rate is still low. To find out why this is the case, we performed systematic literature searches in PsycINFO, MEDLINE, and Google Scholar databases about subjective reasons of older people for use and non-use of these devices. We then performed a meta-synthesis of the relevant studies in order to arrive at a comprehensive view of older people’s reasons for the use or non-use of ATs. Beliefs about ease to use and reliability of AT use as well as perceived suggestion by significant others to use ATs were important reasons for using them. Beliefs about insecurity, uselessness and other attributes of ATs as well as desires to avoid burden for others were major reasons for not using of ATs. We systematized the identified subjective reasons for using versus not using as referring to (1) situation of need and demand for an AT, (2) suggestion by significant others, (3) act of using, and (4) consequences of AT use. Most of the reasons were reasons for non-use such as beliefs about negative attributes of ATs, and the consequences of their use. In contrast, desires were only rarely mentioned as reasons for use or non-use of ATs. Comparing subjective reasons of our meta-synthesis with predictors in ATs use models, we found that only 5 out of 25 identified subjective reasons have already been considered in these models. Thus, these models appear not yet to be sufficiently comprehensive. We suggest integrating the identified subjective reasons from our meta-synthesis as additional predictors in a comprehensive AT use model with an improved predictive power. [less ▲]

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See detailMint Centrality: A Centrality Measure for the Bitcoin Transaction Graph
Fiz Pontiveros, Beltran UL; Steichen, Mathis UL; State, Radu UL

Poster (2019, May 17)

In this work, we consider the graph of confirmed transactions in Bitcoin. Understanding this graph is essential to discern the different economic activities conducted by the pseudonymous actors. In ... [more ▼]

In this work, we consider the graph of confirmed transactions in Bitcoin. Understanding this graph is essential to discern the different economic activities conducted by the pseudonymous actors. In addition to traditional graph analysis methods, new metrics need to be engineered specifically for the bitcoin transaction graph. Hence, we propose a new centrality measure named mint centrality. The measure uses the inherent tree structure of transactions in bitcoin and their relation to the corresponding set of coinbase transactions, and can be evaluated with linear complexity. We evaluate the mint centrality on the first 200,000 blocks of the public bitcoin blockchain. [less ▲]

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See detailAre dates processed like words rather than like numbers? A study of transposition priming effects
Lochy, Aliette UL; Golinvaux, Fanny; Schiltz, Christine UL

Poster (2019, May)

Neuropsychological case-studies suggested that dates and encyclopedic numbers may be processed differently than unknown numbers. However, this issue was not yet investigated in reading in healthy ... [more ▼]

Neuropsychological case-studies suggested that dates and encyclopedic numbers may be processed differently than unknown numbers. However, this issue was not yet investigated in reading in healthy participants, so that it is unclear if dates are read like words and processed as lexical items, or like numbers where each position strictly defines the digit value in a base-10 system. Here, we compared processing of known dates to unknown numbers in a group of 26 experts (students and teachers in History). Participants performed an explicit recognition task on dates (e.g., 1789, 1945, …) and on acronyms (e.g., FNRS, HDMI, …), half known and half unknown. They were preceded by an identical prime (e.g., 1945-1945), a transposed-character prime (e.g., 1495-1945) or a substituted-character prime (e.g., 1635-1945). Results show that for dates, there is a significant transposition gain (-57ms), while for unknown numbers as well as for acronyms (known and unknown), the transposed-character prime induced a cost (from +17 to +257ms) rather than a gain. The facilitation due to transposed characters found here on dates is similar to what is observed in studies of lexical decision on words. Therefore, it suggests that dates may be processed with similar types of orthographical mechanisms than words. [less ▲]

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See detailEmotion Regulation Difficulties in Adolescents with ADHD and/or Dyslexia
Battistutta, Layla UL; Steffgen, Georges UL

Poster (2019, April 26)

Objectives: ADHD is commonly associated with emotion regulation (ER) problems. Although around 10-45% of adolescents with ADHD also present with specific learning disorders such as dyslexia, studies on ER ... [more ▼]

Objectives: ADHD is commonly associated with emotion regulation (ER) problems. Although around 10-45% of adolescents with ADHD also present with specific learning disorders such as dyslexia, studies on ER in dyslexia or comorbid cases of ADHD/dyslexia remain limited. The aim was to examine potential differences in ER abilities between 11 to 16-year-old adolescents diagnosed with ADHD, dyslexia as well as comorbid dyslexia/ADHD. Method: Preliminary data from an ongoing research project was analyzed for 3 diagnostic groups (AD(H)D: n=15; dyslexia: n=12; dyslexia/AD(H)D: n=9) paired on age (F<1, n.s.), gender (X2(2)=0.68, p=.71) and IQ (F<1, n.s.). ER was investigated experimentally using a frustration inducing task (Behavioral Indicator of Resiliency to Distress; BIRD; Lejuez et al., 2006) while assessing adolescents’ subjective positive and negative affect before and after the task (PANAS-C; Laurent et al., 1999). Additionally, adolescents completed questionnaires on alexithymia (AQC, Rieffe, Oosterveld & Terwogt, 2006) and difficulties in ER (DERS-SF; Kaufman et al., 2016). Results: Preliminary findings showed a significant effect of time (F(1,33)=6.46, p=.02, n2=.16) with higher negative affect reported after the task and a marginal diagnostic group effect (F(2,33)=3.05, p=.06, n2=.16) showing marginally higher negative affect for the comorbid group compared to the dyslexia group (p=.06). Marginally significant group differences (F(2, 33)=3.21, p=.05, n2=.16) also showed higher alexithymia scores for the comorbid group compared to the dyslexia group (p=.06) but alexithymia and post-task negative affect were not found to be correlated (r=.25, p=.13). No differences in self-reported ER difficulties were found (F(2,33)=2.52, p=.10, n2=.13) between the three diagnostic groups. Conclusion: These preliminary findings indicate that, compared to a single diagnosis of dyslexia, a dyslexia/ADHD comorbidity might potentially entail less developed ER skills. The ongoing data collection (bigger sample, control group) will help to further elucidate these tentative results in the future. [less ▲]

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See detailClosed Form Discrete Unimodular MIMO Waveform Design Using Block Circulant Decomposition
Hammes, Christian UL; Shankar, Bhavani UL; Ottersten, Björn UL

Poster (2019, April 22)

This paper deals with the waveform design under the constraint of discrete multiphase unimodular sequences. It relies on Block Circulant decomposition of the slow-time transmitted waveform. The presented ... [more ▼]

This paper deals with the waveform design under the constraint of discrete multiphase unimodular sequences. It relies on Block Circulant decomposition of the slow-time transmitted waveform. The presented closed-form solution is capable of designing orthogonal signals, such that the virtual MIMO paradigm is enabled leading to enhanced angular resolution. On the other hand, the proposed method is also capable of approximating any desired radiation pattern within the physical limits of the transmitted array size. Simulation results prove the effectiveness in terms computational complexity, orthogonal signal design and the transmit beam pattern design under constant modulus constraint. [less ▲]

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See detailImproved Monitoringand Tracking Hurricanes using GPS Atmospheric WaterVapour
Ejigu, Yohannes Getachew; Teferle, Felix Norman UL; klose, Anna et al

Poster (2019, April 09)

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See detailLaser beam joining of copper to aluminum sheet
Mathivanan, Karthik UL; Plapper, Peter UL

Poster (2019, April 04)

Dissimilar metal joining plays a very important role in the battery connections, especially copper and aluminum sheets. The existing literatures for laser research mostly focused on joining from the less ... [more ▼]

Dissimilar metal joining plays a very important role in the battery connections, especially copper and aluminum sheets. The existing literatures for laser research mostly focused on joining from the less reflective aluminum side to bond with copper. In the current research, we explore the joining process from copper side.Finally the optical emission of Cu-Al joint is presented with 394 nm peak as an indication to study the melting of Al. [less ▲]

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See detailThe role of executive functions in task-related analgesia
Rischer, Katharina Miriam UL; Gigl, Sandra; Dierolf, Angelika UL et al

Poster (2019, March)

Introduction: Recent research suggests that weaker executive functions may be linked to a higher risk of pain chronicity. However, little is known about how executive functions affect the modulation of ... [more ▼]

Introduction: Recent research suggests that weaker executive functions may be linked to a higher risk of pain chronicity. However, little is known about how executive functions affect the modulation of acute pain. The present study aimed to investigate the impact of inhibitory control on the success of cognitive distraction from pain. Methods: Participants completed a battery of cognitive tasks (Go/NoGo, Color Stroop, Eriksen Flanker), assessing their cognitive inhibition and selective attention abilities. Additionally, self-report measures of pain catastrophizing and fear of pain were administered. In a pain distraction paradigm, participants completed either a cognitively demanding working memory task (2-back task) or a visually matched easy control task (target response task) while receiving warm or painful thermal stimuli to their left forearm. Nociceptive stimulus intensity was individually calibrated for each participant. Moreover, to maintain a similar level of task difficulty across participants, task speed was continuously adapted based on the participant's performance in the previous trials. Following each trial, participants rated the perceived intensity and unpleasantness of the thermal stimuli on visual analogue scales. Results: As expected, preliminary results indicate that the 2-back task, but not the target response task, successfully distracted participants from thermal pain, manifesting in significantly lower intensity and unpleasantness ratings. Importantly, the magnitude of the distraction effect was negatively associated with the Flanker effect. Discussion: In line with previous research, engaging in a cognitively demanding task led to significantly lower pain intensity and unpleasantness ratings when compared to an easy control task. Moreover, results indicate that better interference control abilities may predict greater task-related analgesia. Taken together, the results of the present study suggest that it is crucial to assess executive functions to develop a better understanding of the mechanisms behind cognitive distraction from pain. [less ▲]

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See detailLateralization for faces in prereaders depends on the perceptual processing level: An EEG Fast Periodic Visual Stimulation study
Lochy, Aliette UL; Schiltz, Christine UL; Rossion, Bruno

Poster (2019, January)

The developmental origin of human adults’ right hemispheric lateralization to face stimuli is unclear, in particular because young infants’ right hemispheric advantage in face perception is no longer ... [more ▼]

The developmental origin of human adults’ right hemispheric lateralization to face stimuli is unclear, in particular because young infants’ right hemispheric advantage in face perception is no longer present in preschool children, before written language acquisition. Here we used fast periodic visual stimulation (FPVS) with scalp electrophysiology to test 52 preschool children (5 years old) at two levels of face processing (i.e., faces vs. objects, or discrimination between individual faces). While the contrast between faces and nonface objects elicits strictly bilateral occipital responses in children, discrimination of faces on the basis of identity in the same children is associated with a strong right hemispheric lateralization over the occipito-temporal cortex. Inversion of the face stimuli does not modulate right lateralization but significantly decreases the discrimination response. Furthermore, there is no relationship between right hemispheric lateralization in individual face discrimination and preschool levels of letter recognition. These observations suggest that right lateralization for face perception is essentially driven by the necessity to process faces at the level of identity. Overall, they also challenge the view that the adult right hemispheric lateralization for face perception emerges late and slowly during childhood due to increased competition with left lateralized posterior network for reading. [less ▲]

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See detailTowards Optimized Deployment of Electric Bus Systems Using Cooperative ITS
Laskaris, Georgios UL; Seredynski, Marcin; Viti, Francesco UL

Poster (2019, January)

In this paper we analyze the impact of using cooperative intelligent transportation systems (C-ITS) to manage electrical bus systems. A simulation-based study is presented where three control strategies ... [more ▼]

In this paper we analyze the impact of using cooperative intelligent transportation systems (C-ITS) to manage electrical bus systems. A simulation-based study is presented where three control strategies are used to regulate the operations of a line, namely bus holding, Green Light Optimal Dwell Time Adaptation (GLODTA) and Transit Signal Priority (TSP). The results show, using a realistic scenario of a major line in Luxembourg City, that buses are efficiently operated without necessarily providing additional priority to public transport, hence without negatively affecting the capacity of the private vehicles system. Benefits in terms of headway regulations, energy consumption and travel time variance reductions are quantified. [less ▲]

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See detailA Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns
Scheffer, Ariane Hélène Marie UL; Bandiera, Claudia; Cantelmo, Guido et al

Poster (2019, January)

Determining the purpose of trips brings is a fundamental information to evaluate travel demand during the day and to predict longer-term impacts on the population’s travel behavior. The concept of tours ... [more ▼]

Determining the purpose of trips brings is a fundamental information to evaluate travel demand during the day and to predict longer-term impacts on the population’s travel behavior. The concept of tours is the most suited to consider the value of a daily scheduling of individuals and travel interdependencies. However, the meticulous care required for both collecting data of high quality and interpret results of advanced demand models are frequently considered as major drawbacks. The objective of this study is to incorporate into a standard trip-based model some inherent concepts of activity-based models in order to enhance the representation of travel behavior. The main focus of this work is to infer, employing utility theory, the trip purpose of a population, at a zonal level. Making use of Markov Chain Monte Carlo, a set of parameters is estimated in order to retrieve tour-based primitives of the demand. The main advantage of this methodology is the low requirements in terms of data, as no individual information are used, and the good interpretation of the model. Estimated parameters of the priors set a utility-based probability function for departure time, which allows to have a dynamic overview of the demand. In order to account for the tour consistency of travel decisions, a duration constraint is added to the model. The proposed model is applied to the region of Luxembourg city and the results show the potential of the methodologies for dividing an observed demand based on the activity at destination. [less ▲]

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See detailÆGIS: Smart Shielding of Smart Contracts
Ferreira Torres, Christof UL; Steichen, Mathis UL; Norvill, Robert UL et al

Poster (2019)

In recent years, smart contracts have suffered major exploits, losing millions of dollars. Unlike traditional programs, smart contracts cannot be updated once deployed. Though various tools were pro ... [more ▼]

In recent years, smart contracts have suffered major exploits, losing millions of dollars. Unlike traditional programs, smart contracts cannot be updated once deployed. Though various tools were pro- posed to detect vulnerable smart contracts, they all fail to protect contracts that have already been deployed on the blockchain. More- over, they focus on vulnerabilities, but do not address scams (e.g., honeypots). In this work, we introduce ÆGIS, a tool that shields smart contracts and users on the blockchain from being exploited. To this end, ÆGIS reverts transactions in real-time based on pat- tern matching. These patterns encode the detection of malicious transactions that trigger exploits or scams. New patterns are voted upon and stored via a smart contract, thus leveraging the benefits of tamper-resistance and transparency provided by blockchain. By allowing its protection to be updated, the smart contract acts as a smart shield. [less ▲]

Detailed reference viewed: 44 (4 UL)