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See detailEvaluation von Synergieeffekten zentraler Speichersysteme in Niederspannungsnetzen durch integrative Modellbildung
Zugschwert, Christina UL

Doctoral thesis (2022)

Security of supply, affordability, and sustainability form the pillars of a new energy policy towards renewable generation and decarbonization. However, the dynamics of the power generation due to the ... [more ▼]

Security of supply, affordability, and sustainability form the pillars of a new energy policy towards renewable generation and decarbonization. However, the dynamics of the power generation due to the increasing amount of renewable energies cause temporal and local discrepancies between generation and consumption. Resulting energy transports between grid sections and different voltage levels cause additional load flows. To ensure grid stability, the grid operator provides system services and grid extension measures. With the help of energy storage systems with grid-serving control and placement strategies, the flexibility of the electricity supply can be increased. Besides, a high amount of renewable energy can be used locally while maintaining grid stability. A centralized installation approach focussing single grid sections, instead of many decentralized home storage units, offers economic and environmental advantages. Furthermore, the operation strategy can be optimized by the global view of the grid operator and thus be adapted to local conditions. This research evaluates synergy effects of central storage systems by integrative computational analysis using a rural low-voltage grid section in Luxembourg. Three linked simulation levels are used to calculate operational strategies, storage dimensioning as well as placement based on 15-minute smart meter data. The operation strategy is developed within a power system simulation and is used to control a parameterizable simulation model of a vanadium-redox-flow-battery. The operating strategy focuses on reducing the maximum power flow at the transformer and reactive power compensation to maintain voltage stability. A future photovoltaic scenario is being adopted by doubling the status quo photovoltaic generation. The simultaneous optimization of storage utilization and power reduction at the transformer provides the storage design parameters power and capacity. Storage placement is determined by the system boundary and the resulting data selection. A final sensitivity analysis evaluates an optimized storage placement while enhancing the voltage profiles. The results of this work are a differentiated active as well as reactive power related operating strategy, automated calculation algorithms to determin control parameters, optimized battery design parameters as well as the methodical approach to transfer calculation algorithms to further grid sections. [less ▲]

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See detailEXCESSIVE MICROBIAL MUCIN FORAGING INDUCED BY DIETARY FIBER DEPRIVATION MODULATES SUSCEPTIBILITY TO INFECTIOUS AND AUTOIMMUNE DISEASES
Wolter, Mathis UL

Doctoral thesis (2022)

The gastrointestinal (GI) mucus layer is a protective and lubricating hydrogel of polymer-forming glycoproteins that covers our intestinal epithelium. This mucus layer serves as an interface between the ... [more ▼]

The gastrointestinal (GI) mucus layer is a protective and lubricating hydrogel of polymer-forming glycoproteins that covers our intestinal epithelium. This mucus layer serves as an interface between the intestinal epithelium and environment as well as a as first line of defense against the potentially harmful microorganisms. While the GI mucus layer closer to the gut epithelium is highly condensed and acts as a physical barrier for invading microorganisms, further away from the epithelium, proteolytic degradation makes it loose. This looser part of the mucus layer serves as an attachment site and a nutrient source for some commensal gut bacteria. The molecular mechanisms that drive the mucus–microbe interactions are emerging and are important to understand the functional role of the gut microbiome in health and disease. Previous work by my research group showed that a dietary fiber-deprived gut microbiota erodes the colonic mucus barrier and enhances susceptibility to a mucosal pathogen Citrobacter rodentium, a mouse model for human Escherichia coli infections. In this PhD thesis, I studied role of the gut mucus layer in the context of various other infectious and autoimmune diseases by inducing the natural erosion of the mucus layer by dietary fiber deprivation. In order to unravel the mechanistic details in the intricate interactions between diet, mucus layer and gut microbiome, I leveraged our previously established gnotobiotic mouse model hosting a synthetic human gut microbiota of fully characterized 14 commensal bacteria (14SM). I employed three different types of infectious diseases for the following reasons: 1) attaching and effacing (A/E) pathogen (C. rodentium), to better understand which commensal bacteria aid in enhancing the pathogen susceptibility when a fiber-deprived gut microbiota erodes the mucus barrier; 2) human intracellular pathogens (Listeria monocytogenes and Salmonella Tyhimurium) to investigate, whether like the A/E pathogen, erosion of the mucus layer could affect the infection dynamics; and 3) a mouse nematode parasite – Trichuris muris, which is a model for the human parasite Trichuris trichiura – to study how changes in the mucin–microbiome interactions drive the worm infection, as mucins play an important role in worm expulsion. In my thesis, I used various combinations of 14SM by dropping out individual or all mucin-degrading bacteria from the microbial community to show that, in the face of reduced dietary fiber, the commensal gut bacterium Akkermansia muciniphila is responsible for enhancing susceptibility to C. rodentium, most likely by eroding the protective gut mucus layer. For my experiments with intracellular pathogens (L. monocytogenes and S. Tyhimurium, I found that dietary fiber deprivation provided protection against the infection by both L. monocytogenes and S. Typhimurium. This protective effect against the pathogens was driven directly by diet and not by the microbial erosion of the mucus layer, since a similar protective effect was observed in both gnotobiotic and germ-free mice. Finally, for the helminth model, I showed that that fiber deprivation-led elevated microbial mucin foraging promotes clearance of the parasitic worm by shifting the host immune response from a susceptible, Th1 type to a resistant, Th2 type. In the context of autoimmune disease, I focused on inflammatory bowel disease (IBD). Although IBD results from genetic predisposition, the contribution of environmental triggers is thought to be crucial. Diet–gut microbiota interactions are considered to be an important environmental trigger, but the precise mechanisms are unknown. As a model for IBD, I employed IL-10-/- mice which are known to spontaneously develop IBD-like colitis in conventional mice. Using our 14SM gnotobiotic mouse model, I showed that in a genetically susceptible host, microbiota-mediated erosion of the mucus layer following dietary fiber deprivation is sufficient to induce lethal colitis. Furthermore, my results show that this effect was clearly dependent on interaction all three factors: microbiome, diet and genetic susceptibility. Leaving out only one of these factors eliminated the lethal phenotype. The novel findings arising from my PhD thesis will help the scientific community to enhance our understanding of the functional role of mucolytic bacteria and the GI mucus layer in shaping our health. Overall, given a reduced consumption of dietary fiber in industrialized countries compared to developing countries, my results have profound implications for potential treatment and prevention strategies by leveraging diet to engineer the gut microbiome, especially in the context of personalized medicine. [less ▲]

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See detailJoint resource allocation for full-duplex ambient backscatter communication: A difference convex algorithm
Kavehmadavani, Fatemeh UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in IEEE Transactions on Wireless Communications (2022)

Nowadays, Ambient Backscatter Communication (AmBC) systems have emerged as a green communication technology to enable massive self-sustainable wireless networks by leveraging Radio Frequency (RF) Energy ... [more ▼]

Nowadays, Ambient Backscatter Communication (AmBC) systems have emerged as a green communication technology to enable massive self-sustainable wireless networks by leveraging Radio Frequency (RF) Energy Harvesting (EH) capability. A Full-duplex Ambient Backscatter Communication (FAmBC) network with a Full-duplex Access Point (AP), a dedicated Legacy User (LU), and several Backscatter Devices (BDs) is considered in this study. The AP with two antennas transfers downlink Orthogonal Frequency Division Multiplexing (OFDM) information and energy to the dedicated LU and several BDs, respectively, while receiving uplink backscattered information from BDs at the same time. One of the key aims in AmBC networks is to ensure fairness among BDs. To address this, we propose the Multi-objective Lexicographical Optimization Problem (MLOP), which aims to maximize the minimum BD’s … [less ▲]

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See detailPRINS: Scalable Model Inference for Component-based System Logs
Shin, Donghwan UL; Bianculli, Domenico UL; Briand, Lionel UL

in Empirical Software Engineering (2022)

Behavioral software models play a key role in many software engineering tasks; unfortunately, these models either are not available during software development or, if available, quickly become outdated as ... [more ▼]

Behavioral software models play a key role in many software engineering tasks; unfortunately, these models either are not available during software development or, if available, quickly become outdated as implementations evolve. Model inference techniques have been proposed as a viable solution to extract finite state models from execution logs. However, existing techniques do not scale well when processing very large logs that can be commonly found in practice. In this paper, we address the scalability problem of inferring the model of a component-based system from large system logs, without requiring any extra information. Our model inference technique, called PRINS, follows a divide-and-conquer approach. The idea is to first infer a model of each system component from the corresponding logs; then, the individual component models are merged together taking into account the flow of events across components, as reflected in the logs. We evaluated PRINS in terms of scalability and accuracy, using nine datasets composed of logs extracted from publicly available benchmarks and a personal computer running desktop business applications. The results show that PRINS can process large logs much faster than a publicly available and well-known state-of-the-art tool, without significantly compromising the accuracy of inferred models. [less ▲]

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See detailSustainability and Circular Economy in Learning Factories – Case Studies
Weyand, Astrid; Thiede, Sebastian; Mangers, Jeff UL et al

in SSRN (2022, April 11)

Since the mitigation of climate change is one of the biggest challenges to face on a global scale, the topic has become more relevant also in industrial context. Learning factories have proven to be ... [more ▼]

Since the mitigation of climate change is one of the biggest challenges to face on a global scale, the topic has become more relevant also in industrial context. Learning factories have proven to be suitable environments to address and convey competencies to tackle industrial challenges in an interactive way. Hence, several learning factories are already dealing with sustainability topics in various use cases. This paper strives to present a state of the art of sustainability and circular economy in learning factories. Therefore, a classification framework is developed based on the state of the art of several learning factories and existing literature regarding the topic. This framework is then used to systematically describe the different activities regarding sustainability and circular economy that are currently ongoing in learning factories worldwide. This can be used to get an idea about the different aspects of the topic and how to address them, but furthermore also offers assistance to identify “blind spots” which could and should be addressed in learning factories in the future. [less ▲]

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See detailMaximizing the Number of Served Users in a Smart City using Reconfigurable Intelligent Surfaces
Zivuku, Progress UL; Kisseleff, Steven UL; Nguyen, van Dinh UL et al

in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC) (2022, April 10)

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See detailDifferential Phase Compensation in Over-the-air Precoding Test-bed for a Multi-beam Satellite
Martinez Marrero, Liz UL; Merlano Duncan, Juan Carlos UL; Querol, Jorge UL et al

Scientific Conference (2022, April 10)

This article presents a closed-loop differential phase compensation system for a precoding-enabled multibeam satellite forward link and its validation by live experiments on a GEO satellite scenario. The ... [more ▼]

This article presents a closed-loop differential phase compensation system for a precoding-enabled multibeam satellite forward link and its validation by live experiments on a GEO satellite scenario. The precoding operation avoids inter-beam interference and maximizes the spectrum efficiency by full frequency reuse as an alternative to the traditional two-color or four-color reuse methods proposed in the DVB-S2 standard. However, the satellite payload introduces differential phase and frequency impairments, which can degrade the precoding performance. This work describes the implementation of the differential phase and frequency tracking and compensation loop in an end-to-end testbed over a multibeam satellite system with independent local oscillators. The developed system performs end-to-end real-time communication over the satellite link, including channel measurements and precompensation. Results are validated by an over-the-air demonstration using two beams of the SES-14 multibeam satellite. Each beam is transmitted by independent transponders, which results in differential frequency and phase offsets due to the transponder undisciplined local oscillators. This phase offset makes it impossible to use precoding without the phase compensation loop. We prove that the implemented system can successfully track and compensate the differential phase and frequency to improve precoding performance. [less ▲]

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See detailD-ViNE: Dynamic Virtual Network Embedding in Non-Terrestrial Networks
Maity, Ilora UL; Vu, Thang Xuan UL; Chatzinotas, Symeon UL et al

in IEEE Wireless Communications and Networking Conference (WCNC) (2022, April 10)

In this paper, we address the virtual network embedding (VNE) problem in non-terrestrial networks (NTNs) enabling dynamic changes in the virtual network function (VNF) deployment to maximize the service ... [more ▼]

In this paper, we address the virtual network embedding (VNE) problem in non-terrestrial networks (NTNs) enabling dynamic changes in the virtual network function (VNF) deployment to maximize the service acceptance rate and service revenue. NTNs such as satellite networks involve highly dynamic topology and limited resources in terms of rate and power. VNE in NTNs is a challenge because a static strategy under-performs when new service requests arrive or the network topology changes unexpectedly due to failures or other events. Existing solutions do not consider the power constraint of satellites and rate limitation of inter-satellite links (ISLs) which are essential parameters for dynamic adjustment of existing VNE strategy in NTNs. In this work, we propose a dynamic VNE algorithm that selects a suitable VNE strategy for new and existing services considering the time-varying network topology. The proposed scheme, D-ViNE, increases the service acceptance ratio by 8.51% compared to the benchmark scheme TS-MAPSCH. [less ▲]

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See detailMusique à vent pendant l'occupation nazie au Luxembourg de 1940 à 1944
Sagrillo, Damien François UL

Scientific Conference (2022, April 09)

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See detailUnsichtbares sichtbar machen
Scuto, Denis UL; Harnoncourt, Julia UL

Article for general public (2022)

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See detailMort à la culture!
Cicotti, Claudio UL

Speeches/Talks (2022)

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See detailDoes (Re-)Entering the Labor Market at Advanced Ages Protect Against Cognitive Decline? A Panel-Matching Difference-in-differences Approach
Kim, Jung Hyun UL; Muniz-Terrera, Graciela; Leist, Anja UL

E-print/Working paper (2022)

While prolonged labor market participation becomes increasingly important in ageing societies, evidence of the impacts of entering or exiting work beyond age 65 on cognitive functioning is scarce. We ... [more ▼]

While prolonged labor market participation becomes increasingly important in ageing societies, evidence of the impacts of entering or exiting work beyond age 65 on cognitive functioning is scarce. We estimate these effects using panel-matching difference-in-differences with populationrepresentative panel datasets from South Korea and the United States. We compare countries and across socioeconomic characteristics. We find general positive effects of entering the labor market in South Korea, while only individuals with high assets in the US benefit from entering the labor market. Exiting the labor market does not result in changes in cognitive functioning in Korea but is followed by a cognitive decline in individuals with low assets in the US. Findings suggest that the benefits and disincentives from late-life labor status transitions on cognitive functioning vary between South Korea and the US and across socioeconomic groups. [less ▲]

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See detailCreating positive learning experiences with technology: A field study on the effects of user experience for digital concept mapping
Rohles, Björn UL; Backes, Susanne UL; Fischbach, Antoine UL et al

in Heliyon (2022), 8(4),

Learning and assessment are increasingly mediated by digital technologies. Thus, learners’ experiences with these digital technologies are growing in importance, as they might affect learning and ... [more ▼]

Learning and assessment are increasingly mediated by digital technologies. Thus, learners’ experiences with these digital technologies are growing in importance, as they might affect learning and assessment. The present paper explores the impact of user experience on digital concept mapping. It builds on user experience theory to explain variance in the intention to use digital concept mapping tools and in concept map-based assessment scores. Furthermore, it identifies fulfillment of psychological needs as an important driver of positive experiences. In a field study in three schools and a university (N = 71), we tested two concept mapping prototypes on computers and tablets. We found that user experience is a significant factor explaining variance in intention to use. User experience also explained variance in three out of four concept mapping scores on tablets, potentially related to the lower pragmatic quality of the tablet prototypes. Fulfillment of psychological needs strongly affected perceptions of different qualities of user experience with digital concept mapping. These results indicate that user experience needs to be considered in digital concept mapping to provide a positive and successful environment for learning and assessment. Finally, we discuss implications for designers of digital learning and assessment tools. [less ▲]

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See detailHistoricising online virality
Schafer, Valerie UL

Presentation (2022, April 08)

This presentation aims to questions the methodologies and challenges related to an historical study of European online virality.

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See detailThe Instrumental Turn of Nationality: An Investment Law Perspective
Garcia Olmedo, Javier UL

Scientific Conference (2022, April 08)

This workshop takes a holistic approach to examine the role and future of nationality in a globalised world, taking citizenship by investment (CBI) schemes as a point of departure. It explores the ... [more ▼]

This workshop takes a holistic approach to examine the role and future of nationality in a globalised world, taking citizenship by investment (CBI) schemes as a point of departure. It explores the implications and impacts of CBI schemes, followed by a discussion on the instrumental turn of nationality in different areas, including EU law, private international law, human rights law, immigration law, diplomatic protection and international investment law. [less ▲]

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See detailDie Göttliche Komödie und das Kino
Cicotti, Claudio UL

Speeches/Talks (2022)

Detailed reference viewed: 39 (0 UL)