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![]() ; Loosveldt, Laurent ![]() E-print/Working paper (2023) We study the pointwise regularity of the Multifractional Brownian Motion and in particular, we get the existence of slow points. It shows that a non self-similar process can still enjoy this property. We ... [more ▼] We study the pointwise regularity of the Multifractional Brownian Motion and in particular, we get the existence of slow points. It shows that a non self-similar process can still enjoy this property. We also consider various extensions of our results in the aim of requesting a weaker regularity assumption for the Hurst function without altering the regularity of the process. [less ▲] Detailed reference viewed: 22 (3 UL)![]() Frank, Raphaël ![]() in Internationales Verkehrswesen (2023) Detailed reference viewed: 81 (2 UL)![]() Aade, Laura ![]() Diverse speeches and writings (2023) Detailed reference viewed: 25 (0 UL)![]() Stöcker, Anne ![]() Presentation (2023, February) Detailed reference viewed: 39 (1 UL)![]() Pantazatou, Aikaterini ![]() in Highlights and Insights on European Taxation (2023) Detailed reference viewed: 73 (4 UL)![]() Udovenko, Aleksei ![]() E-print/Working paper (2023) This note describes a new efficient bit-slice implementation DenseQMC of the Quine-McCluskey algorithm for finding all prime implicants of a Boolean function in the dense case. It is practically feasible ... [more ▼] This note describes a new efficient bit-slice implementation DenseQMC of the Quine-McCluskey algorithm for finding all prime implicants of a Boolean function in the dense case. It is practically feasible for n <= 23 when run on a common laptop or for n <= 27 when run on a server with 1 TiB RAM. This note also outlines a very common mistake in the implementations of the Quine-McCluskey algorithm, leading to a quadratic slowdown. An optimized corrected implementation of the classic approach is also given (called SparseQMC). The implementation is freely available at https://github.com/hellman/Quine-McCluskey . [less ▲] Detailed reference viewed: 47 (1 UL)![]() Mastrullo, Thomas ![]() in Bulletin Joly Sociétés (2023) Detailed reference viewed: 38 (0 UL)![]() Lehnert, Florence Kristin ![]() Presentation (2023, February) Detailed reference viewed: 30 (3 UL)![]() Hiez, David ![]() in Le droit à la sauce piquante (2023), 28 Detailed reference viewed: 92 (2 UL)![]() Bertinelli, Luisito ![]() ![]() in Journal of International Development (2023) In this paper, we investigate the impact of public mining revenues on perception indicators of public goods quality in five mining countries that have recently experienced a boom in their government ... [more ▼] In this paper, we investigate the impact of public mining revenues on perception indicators of public goods quality in five mining countries that have recently experienced a boom in their government revenues: Burkina Faso, Ghana, D.R. Congo, Tanzania and Zambia. The effect of the tax revenue boom is identified using a difference-in-differences estimation. Our estimations indicate that people living in mining regions have a sense of structural disadvantage in terms of the provision of public goods; however, this perception is pro-cyclical in the presence of revenue booms/busts. Our results hold even after taking into account the possible endogeneity of our measure of resource revenue. [less ▲] Detailed reference viewed: 35 (1 UL)![]() Aleksic, Gabrijela ![]() Speeches/Talks (2023) Detailed reference viewed: 20 (0 UL)![]() Aleksic, Gabrijela ![]() Speeches/Talks (2023) Detailed reference viewed: 26 (0 UL)![]() ; ; et al in Social Sciences (2023), 12 Our article addresses two aspects of young migrants’ understandings of integration: their own ideas of what integration is, and their perception of the destination society’s concepts and expectations ... [more ▼] Our article addresses two aspects of young migrants’ understandings of integration: their own ideas of what integration is, and their perception of the destination society’s concepts and expectations regarding their integration. We analyze qualitative interviews which were conducted in the Horizon 2020 project MIMY, in Germany, Luxembourg and Norway, using the grounded theory methodology. Our exploration shows that the young migrants’ awareness of the existing ideas of integration surrounding them creates a complex reflective interaction between their own ideas and the (perceived) expectations from society. We identified aspects of consonance, where young migrants’ ideas coincide with the expectations they perceive. More importantly, however, our research has discovered that the youth experience tensions and dissonance between their own ideas of what integration should be and the concepts and expectations regarding integration they feel confronted with by society. Our analysis revealed that while young migrants’ understandings of integration are very close to state-of-the-art scientific conceptualizations of integration, this view is not matched by the meaning of integration they perceive around them. [less ▲] Detailed reference viewed: 41 (2 UL)![]() Sommarribas, Adolfo ![]() Scientific Conference (2023, January 31) This presentation shares the main results of the EMN Inform Transition of unaccompanied minors to adulthood" indicating what are the challenges that unaccompanied minors confront when they reach adulthood ... [more ▼] This presentation shares the main results of the EMN Inform Transition of unaccompanied minors to adulthood" indicating what are the challenges that unaccompanied minors confront when they reach adulthood and how Member States respond to this situation. [less ▲] Detailed reference viewed: 34 (3 UL)![]() Hemedan, Ahmed ![]() Doctoral thesis (2023) Interpretation of omics data is needed to form meaningful hypotheses about disease mechanisms. Pathway databases give an overview of disease-related processes, while mathematical models give qualitative ... [more ▼] Interpretation of omics data is needed to form meaningful hypotheses about disease mechanisms. Pathway databases give an overview of disease-related processes, while mathematical models give qualitative and quantitative insights into their complexity. Similarly to pathway databases, mathematical models are stored and shared on dedicated platforms. Moreover, community-driven initiatives such as disease maps encode disease-specific mechanisms in both computable and diagrammatic form using dedicated tools for diagram biocuration and visualisation. To investigate the dynamic properties of complex disease mechanisms, computationally readable content can be used as a scaffold for building dynamic models in an automated fashion. The dynamic properties of a disease are extremely complex. Therefore, more research is required to better understand the complexity of molecular mechanisms, which may advance personalized medicine in the future. In this study, Parkinson’s disease (PD) is analyzed as an example of a complex disorder. PD is associated with complex genetic, environmental causes and comorbidities that need to be analysed in a systematic way to better understand the progression of different disease subtypes. Studying PD as a multifactorial disease requires deconvoluting the multiple and overlapping changes to identify the driving neurodegenerative mechanisms. Integrated systems analysis and modelling can enable us to study different aspects of a disease such as progression, diagnosis, and response to therapeutics. Therefore, more research is required to better understand the complexity of molecular mechanisms, which may advance personalized medicine in the future. Modelling such complex processes depends on the scope and it may vary depending on the nature of the process (e.g. signalling vs metabolic). Experimental design and the resulting data also influence model structure and analysis. Boolean modelling is proposed to analyse the complexity of PD mechanisms. Boolean models (BMs) are qualitative rather than quantitative and do not require detailed kinetic information such as Petri nets or Ordinary Differential equations (ODEs). Boolean modelling represents a logical formalism where available variables have binary values of one (ON) or zero (OFF), making it a plausible approach in cases where quantitative details and kinetic parameters 9 are not available. Boolean modelling is well validated in clinical and translational medicine research. In this project, the PD map was translated into BMs in an automated fashion using different methods. Therefore, the complexity of disease pathways can be analysed by simulating the effect of genomic burden on omics data. In order to make sure that BMs accurately represent the biological system, validation was performed by simulating models at different scales of complexity. The behaviour of the models was compared with expected behavior based on validated biological knowledge. The TCA cycle was used as an example of a well-studied simple network. Different scales of complex signalling networks were used including the Wnt-PI3k/AKT pathway, and T-cell differentiation models. As a result, matched and mismatched behaviours were identified, allowing the models to be modified to better represent disease mechanisms. The BMs were stratified by integrating omics data from multiple disease cohorts. The miRNA datasets from the Parkinson’s Progression Markers Initiative study (PPMI) were analysed. PPMI provides an important resource for the investigation of potential biomarkers and therapeutic targets for PD. Such stratification allowed studying disease heterogeneity and specific responses to molecular perturbations. The results can support research hypotheses, diagnose a condition, and maximize the benefit of a treatment. Furthermore, the challenges and limitations associated with Boolean modelling in general were discussed, as well as those specific to the current study. Based on the results, there are different ways to improve Boolean modelling applications. Modellers can perform exploratory investigations, gathering the associated information about the model from literature and data resources. The missing details can be inferred by integrating omics data, which identifies missing components and optimises model accuracy. Accurate and computable models improve the efficiency of simulations and the resulting analysis of their controllability. In parallel, the maintenance of model repositories and the sharing of models in easily interoperable formats are also important. [less ▲] Detailed reference viewed: 71 (19 UL)![]() Ansarinia, Morteza ![]() Doctoral thesis (2023) Cognitive control is essential to human cognitive functioning as it allows us to adapt and respond to a wide range of situations and environments. The possibility to enhance cognitive control in a way ... [more ▼] Cognitive control is essential to human cognitive functioning as it allows us to adapt and respond to a wide range of situations and environments. The possibility to enhance cognitive control in a way that transfers to real life situations could greatly benefit individuals and society. However, the lack of a formal, quantitative definition of cognitive control has limited progress in developing effective cognitive control training programs. To address this issue, the first part of the thesis focuses on gaining clarity on what cognitive control is and how to measure it. This is accomplished through a large-scale text analysis that integrates cognitive control tasks and related constructs into a cohesive knowledge graph. This knowledge graph provides a more quantitative definition of cognitive control based on previous research, which can be used to guide future research. The second part of the thesis aims at furthering a computational understanding of cognitive control, in particular to study what features of the task (i.e., the environment) and what features of the cognitive system (i.e., the agent) determine cognitive control, its functioning, and generalization. The thesis first presents CogEnv, a virtual cognitive assessment environment where artificial agents (e.g., reinforcement learning agents) can be directly compared to humans in a variety of cognitive tests. It then presents CogPonder, a novel computational method for general cognitive control that is relevant for research on both humans and artificial agents. The proposed framework is a flexible, differentiable end-to-end deep learning model that separates the act of control from the controlled act, and can be trained to perform the same cognitive tests that are used in cognitive psychology to assess humans. Together, the proposed cognitive environment and agent architecture offer unique new opportunities to enable and accelerate the study of human and artificial agents in an interoperable framework. Research on training cognition with complex tasks, such as video games, may benefit from and contribute to the broad view of cognitive control. The final part of the thesis presents a profile of cognitive control and its generalization based on cognitive training studies, in particular how it may be improved by using action video game training. More specifically, we contrasted the brain connectivity profiles of people that are either habitual action video game players or do not play video games at all. We focused in particular on brain networks that have been associated with cognitive control. Our results show that cognitive control emerges from a distributed set of brain networks rather than individual specialized brain networks, supporting the view that action video gaming may have a broad, general impact of cognitive control. These results also have practical value for cognitive scientists studying cognitive control, as they imply that action video game training may offer new ways to test cognitive control theories in a causal way. Taken together, the current work explores a variety of approaches from within cognitive science disciplines to contribute in novel ways to the fascinating and long tradition of research on cognitive control. In the age of ubiquitous computing and large datasets, bridging the gap between behavior, brain, and computation has the potential to fundamentally transform our understanding of the human mind and inspire the development of intelligent artificial agents. [less ▲] Detailed reference viewed: 192 (41 UL)![]() Verstichel-Boulanger, Eolia Emilienne Muriel ![]() Doctoral thesis (2023) Amélie Nothomb est présente sur la scène littéraire depuis 31 ans et pourtant il y a en France un vide dans la recherche universitaire concernant son oeuvre. Cette thèse aborde la place encore et toujours ... [more ▼] Amélie Nothomb est présente sur la scène littéraire depuis 31 ans et pourtant il y a en France un vide dans la recherche universitaire concernant son oeuvre. Cette thèse aborde la place encore et toujours problématique réservée aux autrices dans le champ et la critique littéraires français, les obstacles posés à leur légitimation et à leur consécration du fait de leur genre, obstacles renforcés si elles appartiennent non au centre mais aux marges de la francophonie, et plus encore si leur œuvre obtient un succès commercial indéniable, avec pour effet, auprès de la critique, que la légitimité et la littérarité de leurs ouvrages se voient remises en doute lorsqu’elles ne sont pas tout simplement niées. Amélie Nothomb fait donc l'objet d'une triple marginalité qui est renforcée par la difficulté de classifier son oeuvre. [less ▲] Detailed reference viewed: 47 (6 UL)![]() ![]() Cesari, Laetitia ![]() in CIGI Essay Series: Cybersecurity and Outer Space (2023) Detailed reference viewed: 30 (1 UL)![]() Cicotti, Claudio ![]() Presentation (2023, January 27) Detailed reference viewed: 43 (0 UL)![]() Fouillet, Thibault ![]() Doctoral thesis (2023) The capacity of small powers to think strategically remains a limited field of interest in historical thinking and international relations. Thus, beyond the debate concerning the capacity of small states ... [more ▼] The capacity of small powers to think strategically remains a limited field of interest in historical thinking and international relations. Thus, beyond the debate concerning the capacity of small states to be full-fledged actors in the international system, there appears to be a denial of the conceptualization and doctrinal innovation capacity of small powers despite the historical redundancy of the victory of the weak over the strong. However, small powers are by nature more sensitive to threats due to their limited response capabilities, and are therefore more inclined to rationalize their action over the long term in order to develop national (military, economic, diplomatic capabilities, etc.) and international (alliances, international organizations, etc.) mechanisms for containing these threats. In this respect, this thesis proposes to look at the construction of the strategic thinking of small powers in the face of perceived threats and the means used to try to contain them. The aim is therefore to study the mechanisms by which small powers found a Grand Strategy (transcribed in the form of doctrines) to deal with the security dilemmas they face. To this end, three case studies were analyzed (Luxembourg, Singapore, Lithuania), chosen for the diversity of their strategic and historical contexts offering a variety of security dilemmas. The Grand Strategy being in essence a conceptual construction with a prospective and applicative aim, a theoretical as well as a practical methodology (through the use of immediate history and wargaming) was then implemented. Two sets of lessons can be drawn from this thesis. The first is methodological, confirming the interest of doctrinal studies as a field of strategic reflection, and establishing wargaming as a prospective tool adapted to the conduct of fundamental research. The second, conceptual, allows for a better understanding of the capacity of small powers to create great and efficient strategies, which must be taken into account within the strategic genealogy because of their conceptual dynamism, which can be used to teach lessons even to great powers. [less ▲] Detailed reference viewed: 95 (8 UL) |
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