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See detailOpening the black box of the social learning process: The case of community of practices
Boughattas, Yosra; Geraudel, Mickaël UL; Claeye, Frederic

Scientific Conference (2020, February 04)

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See detailUrban Green Amenity and City Structure
Tran, Thi Thu Huyen UL

Doctoral thesis (2020)

One of the main components that make cities attractive to their residents is their public park and garden systems. Green urban areas from a small community garden to famous areas such as `Jardin du ... [more ▼]

One of the main components that make cities attractive to their residents is their public park and garden systems. Green urban areas from a small community garden to famous areas such as `Jardin du Luxembourg' in Paris not only shape the face of the city but are a quintessential aspect of the quality of life for local inhabitants. They offer places for local recreation, beautiful views, cleaner air and many other advantages. Recent research has validated the connection between urban parks and the well-being of the city's inhabitants. Although green urban areas might seem to be meagre in comparison with other natural ecosystems such as wetlands or forests, the value of the environmental, recreational, and other services they offer is likely to be disproportionally high due to their strategic locations. This dissertation focuses on studying the optimal provision of green urban areas and the welfare effects of a substantial change in green provision policies in the presence of other types of land uses and adverse shocks. It comprises four papers (chapters). [less ▲]

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See detailN point Virasoro algebras considered as Krichever - Novikov type algebras
Schlichenmaier, Martin UL

Scientific Conference (2020, February 04)

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See detailChristof Schöch lectures on the Use and Abuse of Word Embedding
Kamlovskaya, Ekaterina UL

Article for general public (2020)

A blog post reporting on a lecture about the use of word embeddings in humanities.

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See detailUne juste présence du passé?
Scuto, Denis UL

Article for general public (2020)

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See detailLe Maître secret, 4e grade du REAA : Sortir de la Loge, entrer dans le Temple et se rapprocher du Saint des Saints
Meyers, Christian UL

Conference given outside the academic context (2020)

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See detailIdentifying Unintended Harms of Cybersecurity Measures
Chua, Yi Ting; Parkin, Simon; Edwards, Matthew et al

in Proceedings of ECRIME 2019 (2020, February 01)

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See detailBankruptcy protection in airline markets: Does the impact vary in international and US domestic markets?
Mantin, Benny UL; Forsyth, Peter; Bock, Sebastian et al

in Transportation Research. Part A, General (2020), 132

We study the effects of Chapter 11 bankruptcy protection on competitive product pricing in both domestic and international markets using data from the airline industry. We find a decline of about 5% in ... [more ▼]

We study the effects of Chapter 11 bankruptcy protection on competitive product pricing in both domestic and international markets using data from the airline industry. We find a decline of about 5% in domestic markets and an even more significant drop in international markets. Further, in international markets the competing carriers respond by dropping their prices as well, whereas they slightly increase them domestically. By contrast, existing literature considers only domestic markets finding a more moderate fare drop of about 3% in domestic markets by the bankrupt carrier, with mixed results on the fare drop by competitors. [less ▲]

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See detailShort paper: Mechanized Proofs of Verifiability and Privacy in a paper-based e-voting Scheme
Zollinger, Marie-Laure UL; Roenne, Peter UL; Ryan, Peter UL

in International Conference on Financial Crypto Workshop on Advances in Secure Electronic Voting (2020, February)

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See detailPearls of bipolar epistemic logic
Bisdorff, Raymond UL

Learning material (2020)

In this part of the Digraph3 documentation, we provide an insight in computational enhancements one may get when working in a bipolar-valued epistemic logical framework, like easily coping with missing ... [more ▼]

In this part of the Digraph3 documentation, we provide an insight in computational enhancements one may get when working in a bipolar-valued epistemic logical framework, like easily coping with missing data and uncertain criterion significance weights, computing valued ordinal correlations between bipolar-valued outranking digraphs, solving bipolar-valued Berge kernel equation systems, and testing for stability of outranking statements when facing only ordinal criteria significance weights. [less ▲]

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See detailHow to actively protect against dementia. Epidemiological evidence from Luxembourg
Leist, Anja UL

Presentation (2020, February)

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See detailPhonon coupling and shallow defects in CuInS2
Lomuscio, Alberto UL; Sood, Mohit UL; Melchiorre, Michele UL et al

in Physical Review. B (2020), 101(8), 085119-

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See detailThe Loneliness of the Vilain : Shakespeare and Schiller
Kohns, Oliver UL

Scientific Conference (2020, February)

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See detailDenkmalschutzgeset auf der Zielgeraden?
Pauly, Michel UL

Article for general public (2020)

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See detailExploring the Monero Peer-to-Peer Network
Cao, Tong UL; Yu, Jiangshan; Decouchant, Jérémie UL et al

in Cao, Tong; Yu, Jiangshan; Decouchant, Jérémie (Eds.) et al Financial Cryptography and Data Security 2020, Sabah, 10-14 February 2020 (2020, February)

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See detailImpact of pile punching on adjacent piles: Insights 3 from a 3D coupled SPH-FEM analysis
Jayasinghe, Bhagya; Waldmann, Danièle UL; Shang, Junlong

in Applied Mechniacs (2020)

Pile punching (or driving) affects the surrounding area where piles and the adjacent piles can be displaced out of their original positions due to horizontal loads, leading to hazardous outcomes. This ... [more ▼]

Pile punching (or driving) affects the surrounding area where piles and the adjacent piles can be displaced out of their original positions due to horizontal loads, leading to hazardous outcomes. This paper presents a 3D coupled Smoothed Particle Hydrodynamics and Finite. Element Method (SPH-FEM) model, which was established to investigate pile punching and its impact on adjacent piles subjected to lateral loads. This approach handles the large distortions by avoiding mesh tangling and remeshing, contributing greatly high computational efficiency. The SPH-FEM model was validated against field measurements. Results of this study indicated that the soil type in which piles were embedded affected the interaction between piles during the pile punching. A comprehensive parametric study was carried out to evaluate the impact of soil properties on the displacement of piles due to the punching of an adjacent pile. It was found that the interaction between piles was comparatively weak when the piles were driven in stiff clays; while the pile-soil interactions were much more significant in sandy soils and soft clays. [less ▲]

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See detailEvolving a Deep Neural Network Training Time Estimator
Pinel, Frédéric UL; Yin, Jian-xiong; Hundt, Christian UL et al

in Communications in Computer and Information Science (2020, February)

We present a procedure for the design of a Deep Neural Net- work (DNN) that estimates the execution time for training a deep neural network per batch on GPU accelerators. The estimator is destined to be ... [more ▼]

We present a procedure for the design of a Deep Neural Net- work (DNN) that estimates the execution time for training a deep neural network per batch on GPU accelerators. The estimator is destined to be embedded in the scheduler of a shared GPU infrastructure, capable of providing estimated training times for a wide range of network architectures, when the user submits a training job. To this end, a very short and simple representation for a given DNN is chosen. In order to compensate for the limited degree of description of the basic network representation, a novel co-evolutionary approach is taken to fit the estimator. The training set for the estimator, i.e. DNNs, is evolved by an evolutionary algorithm that optimizes the accuracy of the estimator. In the process, the genetic algorithm evolves DNNs, generates Python-Keras programs and projects them onto the simple representation. The genetic operators are dynamic, they change with the estimator’s accuracy in order to balance accuracy with generalization. Results show that despite the low degree of information in the representation and the simple initial design for the predictor, co-evolving the training set performs better than near random generated population of DNNs. [less ▲]

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See detailMaking the Case for Evidence-based Standardization of Data Privacy and Data Protection Visual Indicators
Rossi, Arianna UL; Lenzini, Gabriele UL

in Journal of Open Access to Law (JOAL) (2020), 8(1),

Lately, icons have witnessed a growing wave of interest in the view of enhancing transparency and clarity of data processing practices in mandated disclosures. Although benefits in terms of ... [more ▼]

Lately, icons have witnessed a growing wave of interest in the view of enhancing transparency and clarity of data processing practices in mandated disclosures. Although benefits in terms of comprehensibility, noticeability, navigability of the information and user’s attention and memorization can be expected, they should also be supported by decisive empirical evidence about the efficacy of the icons in specific contexts. Misrepresentation, oversimplification, and improper salience of certain aspects over others are omnipresent risks that can drive data subjects to wrong conclusions. Cross-domain and international standardization of visual means also poses a serious challenge: if on the one hand developing standards is necessary to ensure widespread recognition and comprehension, each domain and application presents unique features that can be hardly established, and imposed, in a top-down manner. This article critically discusses the above issues and identifies relevant open questions for scientific research. It also provides concrete examples and practical suggestions for researchers and practitioners that aim to implement transparency-enhancing icons in the spirit of the General Data Protection Regulation (GDPR). [less ▲]

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See detailPhase field simulation of early-age fracture in cement-based materials (Top 10%)
Nguyen, Thanh-Tung; Waldmann, Danièle UL; Bui, Tinh Quoc

in International Journal of Solids and Structures (2020)

In this paper, a new computational approach, which is based on a multi-physics coupling of the chemo-thermo-mechanical process, is developed for modeling failure mechanism in cement-based materials at ... [more ▼]

In this paper, a new computational approach, which is based on a multi-physics coupling of the chemo-thermo-mechanical process, is developed for modeling failure mechanism in cement-based materials at early-age hydration. A new constitutive law describing mechanical behavior of young concrete is thus derived, taking into account the effects of several factors including thermal expansion, shrinkage, damage, and both basic and transient thermal creeps. A strongly coupled model describing the interaction between fracture and multi-physics problems of cement hydration is obtained. The present phase field model in terms of smeared crack approach is highly suitable for simulating crack, especially when considering the unilateral contact conditions at crack surfaces. The capability of the proposed model in modeling complex crack initiation and propagation under arbitrary boundary conditions is highlighted. Fracture phenomena at both macroscopic and mesoscopic scales are considered and analyzed. The effects of creep and microstructural heterogeneity in different length scale are investigated, showing the great potential of the developed approach. [less ▲]

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