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![]() Roberts, Juliet Mary ![]() Doctoral thesis (2023) Detailed reference viewed: 22 (2 UL)![]() ; ; et al in Pure and Applied Geophysics (2023) Detailed reference viewed: 42 (1 UL)![]() Kirsch, Claudine ![]() ![]() in Social Sciences and Humanities Open (2023), 7 Distance education, used to contain the spread of Covid-19 in 2020, radically altered adolescents’ learning experiences and affected their academic achievements. Based on a survey with adolescents aged 12 ... [more ▼] Distance education, used to contain the spread of Covid-19 in 2020, radically altered adolescents’ learning experiences and affected their academic achievements. Based on a survey with adolescents aged 12-16 in Luxembourg, this study investigates the differences the 332 adolescents perceived in schoolwork when learning at school and from home during the pandemic in 2021, as well as predictors of their reported academic achievement. The findings show that the participants perceived their work as less interesting or useful and more difficult while learning from home and that the main predictors of their academic achievements were school achievements before the pandemic, school satisfaction, learner autonomy, and the ways that adults listen to them. Teacher and parent support played a subordinate role. [less ▲] Detailed reference viewed: 50 (0 UL)![]() Schymanski, Emma ![]() in Analytical Scientist (2023) Why Open and FAIR data sharing in analytical research is important for public data availability, raising awareness of your data, and the very future of analytical science – according to Emma Schymanski Detailed reference viewed: 72 (8 UL)![]() Glaurdic, Josip ![]() in Politics and Gender (2023), First View The level of women’s parliamentary representation often increases after armed conflict, but do voters in postwar societies actually prefer female electoral candidates? We answer this question by analyzing ... [more ▼] The level of women’s parliamentary representation often increases after armed conflict, but do voters in postwar societies actually prefer female electoral candidates? We answer this question by analyzing a unique data set containing information on nearly 7,000 candidates running in three elections with preferential voting in postwar Croatia. Our analysis demonstrates that voters’ gender bias is conditional on the local electorate’s ideology and exposure to war violence, with voters of right-wing parties and voters in areas more affected by war violence being more biased against female candidates. These effects of ideology and exposure to war violence also exhibit a strong interactive relationship, suggesting that bias against women is strongest among right-wing voters in areas exposed to war violence and reversed among left-wing voters in areas exposed to war violence. Our findings highlight the need to better understand the relationship between gender, ideology, and violence in postconflict societies. [less ▲] Detailed reference viewed: 24 (1 UL)![]() Wei, Yufei ![]() Doctoral thesis (2023) Detailed reference viewed: 74 (21 UL)![]() Lecocq, Dan ![]() Scientific Conference (2023, February 09) Detailed reference viewed: 26 (5 UL)![]() Sauveur, Renaldo ![]() Doctoral thesis (2023) In the field of hydro-geodesy, ill-posed inverse problems are very common. Those problems need to be regularized to find a stabilized solution. Usually, to solve those problems, two regularization methods ... [more ▼] In the field of hydro-geodesy, ill-posed inverse problems are very common. Those problems need to be regularized to find a stabilized solution. Usually, to solve those problems, two regularization methods are often used, Tikhonov’s regularization and Truncated Singular Value Decomposition (TSVD), with some common regularization parameter choice methods such as L-curve or General Cross Validation (GCV). This study aims to test the capacity of the Least Squares Collocation (LSC) method to estimate the terrestrial water storage variations as an original approach. First, for the forward model, we calculated the hydrological crustal loading deformation in the island of Haiti by convolving Farrell (1972) Green's function with the surface mass loading from the Global Land Data Assimilation (GLDAS). After, a dense synthetic Global Navigation Satellite System (GNSS) network is used with the LSC method to estimate the Terrestrial Water Storage (TWS) variations for the inverse problem. LSC is a natural way to stabilize an ill-posed inverse problem. Unlike Tikhonov’s or TSVD regularization method, LSC allows us to stabilize the inverse problem by including more physical information. The latter is introduced through a covariance function characterizing the observations, the parameters, and the functional link between them. One of the advantages of the LSC method is that it does not require any regularization parameter. First, we showed that, for the island of Haiti, the near field can extend until 24° around a GNSS station. Secondly, we proved that the hydrology-induced vertical deformation is part of the GNSS vertical displacement over the island. Finally, we demonstrated that the LSC may be used as a method to estimate TWS variations in dense GNSS network area. [less ▲] Detailed reference viewed: 26 (7 UL)![]() Singh, Kartikeya ![]() Doctoral thesis (2023) Cell-cell communication plays a significant role in shaping the functionality of the cells. Communication between the cells is also responsible for maintaining the physiological state of the cells and the ... [more ▼] Cell-cell communication plays a significant role in shaping the functionality of the cells. Communication between the cells is also responsible for maintaining the physiological state of the cells and the tissue. Therefore, it is important to study the different ways by which cell-cell communication impacts the functional state of cells. Alterations in cell-cell communication can contribute to the development of disease conditions. In this thesis, we present two computational tools and a study to explore the different aspects of cell-cell communication. In the first manuscript, FunRes was developed to leverage the cell-cell communication model to investigate functional heterogeneity in cell types and characterize cell states based on the integration of interand intra-cellular signalling. This tool utilizes a combination of receptors and transcription factors (TFs) based on the reconstructed cell-cell communication network to split the cell types into functional states. The tool was applied to the TabulaMurisSenis atlas to discover functional cell states in both young and old mouse datasets. In addition, we compared our tool with state-of-the-art tools and validated the cell states using available markers from the literature. Secondly, we studied the evolution of gene expression in developing astrocytes under normal and inflammatory conditions. We characterized these cells using both transcriptional and chromatin accessibility data which were integrated to reconstruct the gene regulatory networks (GRNs) specific to the condition and timepoints. The GRNs were then topologically analyzed to identify key regulators of the developmental process under both normal and inflammatory conditions. In the final manuscript, we developed a computational tool that identified regulators of allergy and tolerance in a mouse model. The tool works by first reconstructing the cell-cell communication network and then analyzing the network for feedback loops. These feedback loops are important as they contribute to the sustenance of the tissue’s state. Identification of the feedback loops allows for the discovery of important molecules by comparative analysis of these feedback loops between various conditions. In summary, this thesis encompasses various ways of cellular regulation using cell-cell communication in a tissue. These studies contribute to a better understanding of the role cell-cell communication plays in health and disease along with the identification of therapeutic targets to design novel strategies against diseases [less ▲] Detailed reference viewed: 38 (5 UL)![]() Chiba, Miwa ![]() Doctoral thesis (2023) This doctoral dissertation analyze the inclusive education at the local level, with the examples of Luxembourg and Japan since the 1940s, taking into account the influence of the global discourses and the ... [more ▼] This doctoral dissertation analyze the inclusive education at the local level, with the examples of Luxembourg and Japan since the 1940s, taking into account the influence of the global discourses and the complexities surrounding interpretations and implementation of inclusive education. [less ▲] ![]() Kieffer, Emmanuel ![]() in Frontiers in Artificial Intelligence in Finance (2023) Keeping strategic allocations at target level to maintain high exposure to private equity is a complex but essential task for investors who need to balance against the risk of default. Illiquidity and ... [more ▼] Keeping strategic allocations at target level to maintain high exposure to private equity is a complex but essential task for investors who need to balance against the risk of default. Illiquidity and cashflow uncertainty are critical challenges especially when commitments are irrevocable. In this work, we propose to use a trustworthy and explainable A.I. approach to design recommitment strategies. Using intensive portfolios simulations and evolutionary computing, we show that efficient and dynamic recommitment strategies can be brought forth automatically. [less ▲] Detailed reference viewed: 65 (4 UL)![]() Hubai, Andrii ![]() Doctoral thesis (2023) Detailed reference viewed: 62 (6 UL)![]() ; ; et al in Soft Matter (2023) Self-organisation is the spontaneous emergence of spatio-temporal structures and patterns from the interaction of smaller individual units. Examples are found across many scales in very different systems ... [more ▼] Self-organisation is the spontaneous emergence of spatio-temporal structures and patterns from the interaction of smaller individual units. Examples are found across many scales in very different systems and scientific disciplines, from physics, materials science and robotics to biology, geophysics and astronomy. Recent research has highlighted how self-organisation can be both mediated and controlled by confinement. Confinement is an action over a system that limits its units’ translational and rotational degrees of freedom, thus also influencing the system’s phase space probability density; it can function as either a catalyst or inhibitor of self-organisation. Confinement can then become a means to actively steer the emergence or suppression of collective phenomena in space and time. Here, to provide a common framework and perspective for future research, we examine the role of confinement in the self-organisation of soft-matter systems and identify overarching scientific challenges that need to be addressed to harness its full scientific and technological potential in soft matter and related fields. By drawing analogies with other disciplines, this framework will accelerate a common deeper understanding of self-organisation and trigger the development of innovative strategies to steer it using confinement, with impact on, e.g., the design of smarter materials, tissue engineering for biomedicine and in guiding active matter. [less ▲] Detailed reference viewed: 40 (5 UL)![]() ; ; et al in Journal of King Saud University - Computer and Information Sciences (2023) The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation (B5G) communications, is making vehicular edge computing networks (VECNs) increasingly complex. The latency ... [more ▼] The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation (B5G) communications, is making vehicular edge computing networks (VECNs) increasingly complex. The latency constraints of modern automotive applications make it difficult to run complex applications on vehicle on-board units (OBUs). While multi-access edge computing (MEC) can facilitate task offloading to execute these applications, it is still a challenge to access them promptly and optimally. Traditional algorithms struggle to guarantee accuracy in such dynamic environment, but deep reinforcement learning (DRL) methods offer improved accuracy, robustness, and real-time decision-making capabilities. In this paper, we propose a DRL-based mobility, contact, and load aware cooperative task offloading (DCTO) scheme. DCTO is designed for both cellular and mmWave radio access technologies (RATs), and both binary and partial offloading mechanisms. DCTO targets delay minimization by opportunistically switching RATs and offloading mechanisms. We consider relative efficacy and neutrality factors as key performance indicators and use them to derive the DRL agent’s reward function. Extensive evaluations demonstrate that the DCTO scheme exhibits a substantial enhancement in task success rate, with an increase from 2.61% to 21.34%. It also improves the efficacy factor from 1.38 to 3.52 and reduces the neutrality factor from 4.99 to 0.76. Furthermore, the average task processing time is reduced by a range of 3.77% to 24.15%. Additionally, the DCTO scheme outperforms the other evaluated schemes in terms of reward and TFPS ratio. [less ▲] Detailed reference viewed: 35 (0 UL)![]() Scuto, Denis ![]() Article for general public (2023) Detailed reference viewed: 30 (1 UL)![]() Geraets, Anouk ![]() ![]() in Psychological Medicine (2023) Detailed reference viewed: 36 (3 UL)![]() Fridgen, Gilbert ![]() ![]() ![]() E-print/Working paper (2023) Art-related non-fungible tokens (NFTs) took the digital art space by storm in 2021, generating massive amounts of volume and attracting a large number of users to a previously obscure part of blockchain ... [more ▼] Art-related non-fungible tokens (NFTs) took the digital art space by storm in 2021, generating massive amounts of volume and attracting a large number of users to a previously obscure part of blockchain technology. Still, very little is known about the attributes that influence the price of these digital assets. This paper attempts to evaluate the level of speculation associated with art NFTs, comprehend the characteristics that confer value on them and design a profitable trading strategy based on our findings. We analyze 860,067 art NFTs that have been deployed on the Ethereum blockchain and have been involved in 317,950 sales using machine learning methods to forecast the probability of sale, the trade frequency and the average price. We find that NFTs are highly speculative assets and that their price and recurrence of sale are heavily determined by the floor and the last sale prices, independent of any fundamental value. [less ▲] Detailed reference viewed: 38 (9 UL)![]() Chakrapani, Neera ![]() Doctoral thesis (2023) Red meat allergy aka α-Gal allergy is a delayed allergic response occurring upon consumption of mammalian meat and by-products. Patients report eating meat without any problems for several years before ... [more ▼] Red meat allergy aka α-Gal allergy is a delayed allergic response occurring upon consumption of mammalian meat and by-products. Patients report eating meat without any problems for several years before developing the allergy. Although children can develop red meat allergy, it is more prevalent in adults. In addition to a delayed onset of reactions, immediate hypersensitivity is reported in case of contact with the allergen via intravenous route. Galactose-α-1,3-galactose (α-Gal) is the first highly allergenic carbohydrate that has been identified to cause allergy all across the world. In general, carbohydrates exhibit low immunogenicity and are not capable of inducing a strong immune response on their own. Although the α-Gal epitope is present in conjugation with both proteins and lipids, due to an overall accepted role of proteins in allergy, glycoproteins from mammalian food sources were first characterized. However, a unique feature of α-Gal allergy is the delayed occurrence of allergic symptoms upon ingestion of mammalian meat and an allergenic role of glycolipids has been proposed to explain these delayed responses. A second important feature of the disease is that the development of specific IgE to α-Gal has been associated with tick bites belonging to various tick species, depending on the geographical region. In this tick-mediated allergy an intriguing factor is the absence of an α-1,3-GalT gene in ticks, a gene coding for an enzyme capable of α-Gal synthesis, which raises questions on the source and identity of the sensitizing molecule within ticks, immune responses to tick bites, and effect of increased exposure. In this study, we sought to elucidate the origin of sensitization to α-Gal by investigating a cohort of individuals exposed to recurrent tick bites and by exploring the proteome of ticks in a longitudinal study. Furthermore, we analysed the allergenicity of glycoproteins and glycolipids in order to determine the food components responsible for the delayed onset of symptoms. The aim of the Chapter I was to determine IgG profiles and the prevalence rate of sensitization to α-Gal in a high-risk cohort of forestry employees from Luxembourg. The aim of Chapter II was to analyse the presence of host blood in Ixodes ricinus after moulting and upon prolonged starvation in order to support or reject the host blood transmission hypothesis. The aim of the Chapter III was to investigate and compare the allergenicity of glycolipids and glycoproteins to understand their role in the allergic response. Moreover, we have analysed the stability of glycoproteins and compared extracts from different food sources. This chapter is in the form of a published article. In Chapter IV, I have made an attempt to create mutant models with specified α-Gal glycosylation in order to study role of spatial distribution of α-Gal in IgE cross linking and effector cell activation. [less ▲] Detailed reference viewed: 60 (3 UL)![]() ![]() Pit-Ten Cate, Ineke ![]() ![]() Scientific Conference (2023, February 01) Detailed reference viewed: 26 (0 UL)![]() Cauvin, Thomas ![]() Scientific Conference (2023, February 01) Detailed reference viewed: 26 (1 UL) |
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