References of "2022"
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See detailCorporate Managers, Price Noise and the Investment Factor
Lehnert, Thorsten UL

in Financial Innovation (2022), 8(61),

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See detailBetting Against Noisy Beta
Lehnert, Thorsten UL

in Journal of Finance and Data Science (2022), 8(-), 55-68

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See detailAustralian Indigenous Life Writing: Analysing Discourses with Word Embedding Modelling
Kamlovskaya, Ekaterina UL

Doctoral thesis (2022)

The genre of Australian Aboriginal autobiography is a literature of significant socio-political importance, with authors sharing a history different to the one previously asserted by the European settlers ... [more ▼]

The genre of Australian Aboriginal autobiography is a literature of significant socio-political importance, with authors sharing a history different to the one previously asserted by the European settlers which ignored or misrepresented Australia's First People. While there has been a number of studies looking at the works belonging to this genre from various perspectives, Australian Indigenous life writing has never been approached from the digital humanities point of view which, given the constant development of computer technologies and growing availability of digital sources, offers humanities researchers many opportunities for exploring textual collections from various angles. With this research work I contribute to closing the above-mentioned research gap and discuss the results of the interdisciplinary research project within the scope of which I created a bibliography of published Australian Indigenous life writing works, designed and assembled a corpus and created word embedding models of this corpus which I then used to explore the discourses of identity, land, sport, and foodways, as well as gender biases present in the texts in the context of postcolonial literary studies and Australian history. Studying these discourses is crucial for gaining a better understanding of the contemporary Australian society as well as the nation's history. Word embeddings modelling has recently been used in digital humanities as an exploratory technique to complement and guide traditional close reading approaches, which is justified by their potential to identify word use patterns in a collection of texts. In this dissertation, I provide a case study of how word embedding modelling can be used to investigate humanities research questions and reflect on the issues which researchers may face while working with such models, approaching various aspects of the research project from the perspectives of digital source and tool criticism. I demonstrate how word embedding model of the analysed corpus represents discourses through relationships between word vectors that reflect the historical, political, and cultural environment of the authors and some unique experiences and perspectives related to their racial and gender identities. I show how the narrators reconstruct the analysed discourses to achieve the main goals of Australian Indigenous life writing as a genre - reclaiming identity and rewriting history. [less ▲]

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See detailThe Aesthetics of Smoke in Interwar Luxembourgish Literature
Millim, Anne-Marie UL

Presentation (2022, October 19)

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See detailThe Werner report and the financial crisis during the 1970s
Danescu, Elena UL; Tedeschi, Paolo

in Leboutte, René; Tedeschi, Paolo (Eds.) Euro changes: European Responses to Economics and Social Changes. From de 1970s to the new Millennium. (2022)

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See detailUnlinkability of an Improved Key Agreement Protocol for EMV 2nd Gen Payments
Horne, Ross James UL; Mauw, Sjouke UL; Yurkov, Semen UL

Scientific Conference (2022, August 10)

To address known privacy problems with the EMV standard, EMVCo have proposed a Blinded Diffie-Hellman key establishment protocol, which is intended to be part of a future 2nd Gen EMV protocol. We point ... [more ▼]

To address known privacy problems with the EMV standard, EMVCo have proposed a Blinded Diffie-Hellman key establishment protocol, which is intended to be part of a future 2nd Gen EMV protocol. We point out that active attackers were not previously accounted for in the privacy requirements of this proposal protocol, and demonstrate that an active attacker can compromise unlinkability within a distance of 100cm. Here, we adopt a strong definition of unlinkability that does account for active attackers and propose an enhancement of the protocol proposed by EMVCo. We prove that our protocol does satisfy strong unlinkability, while preserving authentication. [less ▲]

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See detailWhich Factors Play a Role in Coco Issuance? Evidence from European Banks.
Wolff, Christian UL

Scientific Conference (2022, July 06)

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See detailClimate Risk and Price Jumps
Lehnert, Thorsten UL

Scientific Conference (2022, July 05)

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See detailSustainable Governance Indicators (SGI) 2022 - Luxembourg Country Analysis
Danescu, Elena UL; Thomas, Adrien UL; Clément, Franz et al

in Sustainable Governance Indicators (SGI) 2022 - Luxembourg Chapter (2022)

The Grand Duchy is considered as the third most open economy in the world, with an openness rate of 158.2% of GDP. The country has an export-intensive economy, with a recurrent trade deficit. The share of ... [more ▼]

The Grand Duchy is considered as the third most open economy in the world, with an openness rate of 158.2% of GDP. The country has an export-intensive economy, with a recurrent trade deficit. The share of foreign trade in Luxembourg’s GDP is currently higher then 30%. Even in the context of the Covid-19 crisis, the country is pursuing its strategy of public investments. Direct and indirect investments envisaged to reach 4.3% of GDP in 2021, a significantly higher cap than the average of 3.7% during the years 2015-2019.Luxembourg has a highly qualified workforce (59.6% of the active population). Over the past 12 month the overall employment growth rate was 1.6%, and that related to the cross-border workers was 2,2%. Two-thirds of jobs created in Luxembourg are aimed at higher education graduates.With an outstanding social security system, a level of material wellbeing above the EU average and sound public finances, Luxembourg is currently one of the most politically stable and prosperous countries in the world. Its strong fiscal position is well illustrated by a longstanding AAA credit rating, a significant accumulation of government financial assets, and a balanced, healthy fiscal position. The public administration, almost completely digitalised, is efficient and the overall economic outlook remains stable. [less ▲]

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See detailLinear system identifiability from single-cell data
Aalto, Atte UL; Lamoline, François UL; Goncalves, Jorge UL

in Systems and Control Letters (2022), 165

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See detailInternational Wind Music Conference Bolzano 14-18 July 2022. Conference book
Sagrillo, Damien François UL

Book published by Kliment (2022)

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See detailParallel Multi-Physics Simulation of Biomass Furnace and Cloud-based Workflow for SMEs
Besseron, Xavier UL; Rusche, Henrik; Peters, Bernhard UL

in Practice and Experience in Advanced Research Computing (PEARC '22) (2022, July)

Biomass combustion is a well-established process to produce energy that offers a credible alternative to reduce the consumption of fossil fuel. To optimize the process of biomass combustion, numerical ... [more ▼]

Biomass combustion is a well-established process to produce energy that offers a credible alternative to reduce the consumption of fossil fuel. To optimize the process of biomass combustion, numerical simulation is a less expensive and time-effective approach than the experimental method. However, biomass combustion involves intricate physical phenomena that must be modeled (and validated) carefully, in the fuel bed and in the surrounding gas. With this level of complexity, these simulations require the use of High-Performance Computing (HPC) platforms and expertise, which are usually not affordable for manufacturing SMEs. In this work, we developed a parallel simulation tool for the simulation of biomass furnaces that relies on a parallel coupling between Computation Fluid Dynamics (CFD) and Discrete Element Method (DEM). This approach is computation-intensive but provides accurate and detailed results for biomass combustion with a moving fuel bed. Our implementation combines FOAM-extend (for the gas phase) parallelized with MPI, and XDEM (for the solid particles) parallelized with OpenMP, to take advantage of HPC hardware. We also carry out a thorough performance evaluation of our implementation using an industrial biomass furnace setup. Additionally, we present a fully automated workflow that handles all steps from the user input to the analysis of the results. Hundreds of parameters can be modified, including the furnace geometry and fuel settings. The workflow prepares the simulation input, delegates the computing-intensive simulation to an HPC platform, and collects the results. Our solution is integrated into the Digital Marketplace of the CloudiFacturing EU project and is directly available to SMEs via a Cloud portal. As a result, we provide a cutting-edge simulation of a biomass furnace running on HPC. With this tool, we demonstrate how HPC can benefit engineering and manufacturing SMEs, and empower them to compute and solve problems that cannot be tackled without. [less ▲]

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See detailTowards real-time patient-specific breast simulations: from full-field information to surrogate model
Mazier, Arnaud UL; Lavigne, Thomas UL; Lengiewicz, Jakub UL et al

Scientific Conference (2022, July)

In breast cancer treatment, surgery is one of the most common practices [DeSantis et al., 2019]. The surgery involves a complex pipeline, principally due to the difference between the imaging and the ... [more ▼]

In breast cancer treatment, surgery is one of the most common practices [DeSantis et al., 2019]. The surgery involves a complex pipeline, principally due to the difference between the imaging and the surgical posture [Mazier et al., 2021]. Indeed, because of the stance difference, the surgeon has to rely on radioactive or invasive markers to predict the tumor position in the surgical setup. Biomechanical simulations could predict such complex tumor displacements but often require patient-specific data (material properties, organs geometries, or loading and boundary conditions). Full-field acquisitions coupled with landmark identifications allow obtaining relative deformation between the different configurations. Having this information and assuming a finite element model, an identification procedure of the model parameters can be carried out. Finally, finding a suitable computational model allowing for a compromise between accuracy and speed, one may consider surrogate models for real-time simulations (20 to 50 FPS). In this work, we obtained the patient-specific geometry through micro-computed tomography in 8 different configurations, including 15 bio-markers. Assessing the displacement of the bio-markers enabled us to infer the relative strains between the different configurations. A heterogeneous neo-Hookean model was assumed for simulating soft tissue behavior. Based on the displacements and the position of the biomarkers, model parameters identification was performed to calibrate the experimental data with the finite element method results. To overcome speed performance issues, Convolutional Neural Network (CNN) trained with a synthetic simulation-based dataset generated by applying different gravity directions is used. Preliminary results show that CNN can predict the displacement of anatomical landmarks to millimetric precision and is 100 times faster than the finite element method, satisfying our real-time objective. Plus, the use of Bayesian inferences involves a longer prediction time but allows a 95% confidence interval of the biomarkers' displacements. For a given precision, contrary to CNNs, optimization methods are computationally expensive and depend on an initialization point. Although CNNs require new training for each patient, optimization algorithms can be applied regardless of the patient's geometry. Through this study, we observed that material properties were playing an essential role but not as much as the anatomical structures e.g. infra-mammary or Copper’s ligaments. [less ▲]

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See detailAutonomous control for satellite rendezvous in near-Earth orbits
Muralidharan, Vivek UL; Martinez Luna, Carol UL; Zinys, Augustinas et al

Scientific Conference (2022, July)

CubeSats are being deployed for a number of activities including Earth observation, telecommunications, scientific experiments, and due to their low cost and flexibility, more often than not, they are ... [more ▼]

CubeSats are being deployed for a number of activities including Earth observation, telecommunications, scientific experiments, and due to their low cost and flexibility, more often than not, they are even being considered for use in On-Orbit Servicing (OOS) and debris removal missions. This investigation focuses on using the CubeSat technology to perform autonomous proximity operations with passive target bodies including satellites or space debris. The nonlinear coupled attitude and orbit dynamics for the chaser and the target bodies are modelled and simulated. A nonlinear optimal controller identifies an appropriate rendezvous path. A vision-based navigation system on the chaser satellite records the pose of the target body. The pose observations with stochastic uncertainties are processed using a Kalman filter, and offer state feedback along the satellite path. Such observations in conjunction with the postulated linear control algorithm anchor the chaser to approach the target by maintaining appropriate relative configuration. The linear controller delivers regular maneuvers to compensate for any deviations from the identified reference path. A close-range rendezvous operation is illustrated in a Mission Design Simulator (MDS) tool. [less ▲]

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See detailCritical research and entrepreneurship: A cross‐disciplinary conceptual typology
Dey, pascal; Fletcher, Denise Elaine UL; Verduijn, karen

in International Journal of Management Reviews (2022)

Critical perspectives of entrepreneurship have gained increasing traction over the last two decades. The transformative potential of critical research resides in challenging some of entrepreneurship ... [more ▼]

Critical perspectives of entrepreneurship have gained increasing traction over the last two decades. The transformative potential of critical research resides in challenging some of entrepreneurship research’s epistemological, ontological and theoretical assumptions, with a view to offering a range of alternatives. Critical research in entrepreneurship has remained fragmented, however, due to its heterogeneous theoretical lineages and compartmentalized and niche interests. Addressing this situation, our objective is to intensify the space of critique in entrepreneurship research by offering a theoretically-informed typology that delineates different manifestations of ‘criticalness’. Our overarching contribution is to advance a typology distinguishing four ideal-types of critical entrepreneurship research based on its evaluative emphases (referred to as ‘valence’) and the meta-theoretical assumptions informing its critical operation (called ‘paradigmatic orientation’). By demonstrating the variegated political, ethical and ideological interests and preoccupations that critical studies serve within different management sub-disciplines, the typology provides a conceptual vocabulary for making sense of and synthesizing critical perspectives across scholarly boundaries. Also, it helps to reposition understandings of critique as gestures of negativity by stimulating a greater appreciation of the generative potential of critique and the theoretical and philosophical possibilities that this can bring to our scholarly community. [less ▲]

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See detailDemocracy and the digital revolution – steering an evolving paradigm
Danescu, Elena UL

Scientific Conference (2022, June 29)

Knowledge-based societies rely to a large extent on intangible assets and digital technologies, and these are having an increasing impact on information systems, power, governance and citizenship, driven ... [more ▼]

Knowledge-based societies rely to a large extent on intangible assets and digital technologies, and these are having an increasing impact on information systems, power, governance and citizenship, driven by a proliferation of stakeholders and networks at multiple levels (states, international organisations, private companies, civil society and citizens. There is a clear need for international regulation in this area. This paper takes a multidisciplinary approach, combining an examination of theoretical, conceptual and methodological frameworks with an analysis of relevant public and private archives, with a threefold objective: 1) to outline issues and challenges in terms of human rights, freedom and democracy; 2) to identify the regulatory provisions adopted at European and international level to promote accountability, civic engagement and digital literacy through new forms of (mediated) democracy; and 3) to identify future prospects, risks and uncertainties in the era of artificial intelligence. [less ▲]

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See detailWeb archives of the COVID-crisis : challenges related to short-term and long-term readability
Schafer, Valerie UL

Scientific Conference (2022, June 29)

During the COVID-19 crisis many institutions have started live and special collections related to web archives of the pandemic. Many libraries have also been involved in an initiative led by the IIPC ... [more ▼]

During the COVID-19 crisis many institutions have started live and special collections related to web archives of the pandemic. Many libraries have also been involved in an initiative led by the IIPC (International Internet Preservation Consortium) to gather a huge international collection of web archives available through Archive-It. Taking as a starting point two research projects related to the analysis of the web archiving of the COVID crisis, that we conducted within WARCnet and through the AWAC2 cohort program, this presentation will focus on issues related to scalable reading, contextualization of datasets, FAIR data, sustainability, inclusiveness, etc., in order to unfold the challenges of these collections and of their analysis in a short and in a long term perspective. [less ▲]

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See detailSolvability of invariant systems of differential equations on the hyperbolic plane
Palmirotta, Guendalina UL

Speeches/Talks (2022)

In the Euclidean case, it is well-known, by Malgrange and Ehrenpreis, that linear differential operators with constant coefficients are solvable. However, what happens, if we genuinely extend this ... [more ▼]

In the Euclidean case, it is well-known, by Malgrange and Ehrenpreis, that linear differential operators with constant coefficients are solvable. However, what happens, if we genuinely extend this situation and consider systems of linear invariant differential operators, is still solvable? In case of Rn (for some positive integer n), the question has been proved mainly by Hörmander. We will show that this remains still true for Riemannian symmetric spaces of non-compact type X = G/K. More precisely, we will present a possible strategy to solve this problem by using the Fourier trans- form and its Paley-Wiener(-Schwartz) theorem for (distributional) sections of vector bundles over X. We will get complete solvability for the hyperbolic plane H2 = SL(2, R)/SO(2) and beyond. This work was part of my doctoral dissertation supervised by Martin Olbrich. [less ▲]

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