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See detailIntroducing the DHARPA Project: An interdisciplinary lab to enable critical DH practice
Viola, Lorella UL; Cunningham, Angela UL; Jascov, Helena

Scientific Conference (2021)

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See detailLifting the curtain on motivation in exercise: Validation of two questionnaires for physical education and leisure time in French and German
Hutmacher, Djenna; Eckelt, Melanie; Bund, Andreas UL et al

in Journal of Psychoeducational Assessment (2021), 39(5), 623-639

The increase of cross-cultural studies and intervention programs, based on the self-determination theory, highlights the urge for validated scales to ensure high-quality research, particularly in the ... [more ▼]

The increase of cross-cultural studies and intervention programs, based on the self-determination theory, highlights the urge for validated scales to ensure high-quality research, particularly in the domain of physical education. The present study aimed at evaluating the psychometric properties and measurement invariance of the revised Perceived Locus of Causality Scale (PLOC-R) in physical education and the Behavioral Regulation in Exercise Questionnaire (BREQ-II) during leisure-time translations from English into German and French among youth. Data obtained from 1808 Luxemburgish students supported the five-factor structure of the translated PLOC-R as well as for the BREQ-II and showed good internal reliability as well as concurrent, discriminant, and nomological validity. Measurement invariance analyses across the two languages revealed configural, metric, and partial scalar invariance for both questionnaires. The findings provide promising evidence for the reliability and validity of the translated PLOC-R and BREQ-II and support their use in cross-cultural and physical activity–related motivational research. [less ▲]

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See detailVirtual Masterpieces: Innovation through Public Co-creation for Digital Museum Collections
Morse, Christopher UL; Lallemand, Carine UL; Wieneke, Lars UL et al

in International Journal of the Inclusive Museum (2021), 15(1), 65-83

In this study, we describe the results of a series of co-creation workshops in museums with the goal of designing future digital cultural collections. Ranging from exhibition teasers to comprehensive ... [more ▼]

In this study, we describe the results of a series of co-creation workshops in museums with the goal of designing future digital cultural collections. Ranging from exhibition teasers to comprehensive virtual galleries, digital collections are an increasingly prominent feature of many museum websites but remain a largely unexplored facet of the visitor experience. Building on research in museum experience design, which suggests that involving the public in the development of on-site museum spaces and technologies supports better engagement, we investigated how this translates into digital-only contexts. We invited members of the public (N = 12) to the Luxembourg National Museum of History and Art for a series of design jams to investigate how non-experts envision the future of digital interactivity with museums through a series of ideation and rapid prototyping activities. Our analysis of the workshops and resulting prototypes reveals the design space of digital collections across three continuums of experience: individual/social, creation/consumption, and complementary/standalone. We conclude with design implications, namely how museum professionals can apply these dimensions to the design and implementation of digital collections. [less ▲]

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See detailProactive Legal Design for Health Data Sharing based on Smart Contracts
Rossi, Arianna UL; Haapio, Helena

in Corrales Compagnucci, Marcelo; Fenwick, Mark; Wrbka, Stefan (Eds.) Smart Contracts. Technological, Business and Legal Perspectives (2021)

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See detailLes reliques des "martyrs de Gorcum" à Bruxelles
Weis, Monique UL; Houssiau, Jean

E-print/Working paper (2021)

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See detailSocial inclusion, emotional inclusion and academic self-concept of slovenian students with learning disabilities
Schmidt, Madja; Schwab, Susanne; Zurbriggen, Carmen UL

in Sodobna Pedagogika (2021), 72(2), 218234

Detailed reference viewed: 34 (3 UL)
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See detailLow-Light Image Enhancement of Permanently Shadowed Lunar Regions with Physics-Based Machine Learning
moseley, ben; Bickel, Valentin; Rana, Loveneesh UL et al

Poster (2021)

We show that it is possible to significantly enhance the quality of extremely low-light images of permanently-shaded regions (PSRs) on the moon by using two physics-based deep neural networks, which we ... [more ▼]

We show that it is possible to significantly enhance the quality of extremely low-light images of permanently-shaded regions (PSRs) on the moon by using two physics-based deep neural networks, which we called HORUS, to remove CCD sensor-related noise and photon noise. To inform our distribution of training data, we perform ray tracing over a digital elevation model of the moon and derive the distributions of secondary illumination angles in PSRs. Our network provides high-resolution, low-noise images that will help enable future ground missions to plan and execute safe and effective traverses into, around, and out of lunar PSRs — a critical step in our endeavor to explore the moon and beyond. [less ▲]

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See detailFreiheit und Unfreiheit in der Sklaverei - eine philosophische Analyse
Hofmann, Frank UL

in Binsfeld, Andrea; Ghetta, Marcello (Eds.) Sklaverei und Identitäten. Von der Antike bis zur Gegenwart (2021)

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See detailExtreme Low-Light Environment-Driven Image Denoising over Permanently Shadowed Lunar Regions with a Physical Noise Model
Moseley, Ben; Bickel, Valentin; López-Francos, Ignacio G. et al

in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)

Recently, learning-based approaches have achieved impressive results in the field of low-light image denoising. Some state of the art approaches employ a rich physical model to generate realistic training ... [more ▼]

Recently, learning-based approaches have achieved impressive results in the field of low-light image denoising. Some state of the art approaches employ a rich physical model to generate realistic training data. However, the performance of these approaches ultimately depends on the realism of the physical model, and many works only concentrate on everyday photography. In this work we present a denoising approach for extremely low-light images of permanently shadowed regions (PSRs) on the lunar surface, taken by the Narrow Angle Camera on board the Lunar Reconnaissance Orbiter satellite. Our approach extends existing learning-based approaches by combining a physical noise model of the camera with real noise samples and training image scene selection based on 3D ray tracing to generate realistic training data. We also condition our denoising model on the camera’s environmental metadata at the time of image capture (such as the camera’s temperature and age), showing that this improves performance. Our quantitative and qualitative results show that our method strongly outperforms the existing calibration routine for the camera and other baselines. Our results could significantly impact lunar science and exploration, for example by aiding the identification of surface water-ice and reducing uncertainty in rover and human traverse planning into PSRs. [less ▲]

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See detailLa BITD britannique
Zarkan, Laetitia UL

in Carnets de vols (2021), 140

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See detailLa résolution collaborative de problèmes au Luxembourg : Résultats et implications de l’enquête PISA 2015
Krieger, Florian UL; Fischbach, Antoine UL; Greiff, Samuel UL

in LUCET; SCRIPT (Eds.) Rapport national sur l’éducation au Luxembourg 2021 (2021)

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See detailKollaboratives Problemlösen in Luxemburg: Ergebnisse und Implikationen aus PISA 2015
Krieger, Florian UL; Fischbach, Antoine UL; Greiff, Samuel UL

in LUCET; SCRIPT (Eds.) Nationaler Bildungsbericht Luxemburg 2021 (2021)

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See detailInteractive and participative approaches to storytelling: experiences and visions
Cauvin, Thomas UL

Conference given outside the academic context (2021)

Interactive and participative approaches to storytelling: experiences and visions • Sandra Camarda, University of Luxembourg, Centre for Contemporary and Digital History: Interactive Narratives and ... [more ▼]

Interactive and participative approaches to storytelling: experiences and visions • Sandra Camarda, University of Luxembourg, Centre for Contemporary and Digital History: Interactive Narratives and Transmedia Storytelling: an Insight on the Digital Exhibitions at the C²DH • Thomas Cauvin, University of Luxembourg, Centre for Contemporary and Digital History, President of the International Federation for Public History: Public History and Museum Participation • Tina De Gendt, Stadsmuseum Gent: The Square Kilometre – Zooming in on the City through a Participation Project • Gilles Genot, Lëtzebuerg City Museum: Participatory Approaches for the temporary exhibition “Associations of the city of Luxembourg” • Discussion [less ▲]

Detailed reference viewed: 38 (2 UL)
See detailHistory for/with/by the Publics
Cauvin, Thomas UL

Presentation (2021)

The future of historiography seems to belong to Public History Thomas Cauvin author of the path breaking book Public History A Textbook of Practice, even argues that we should all become public historians ... [more ▼]

The future of historiography seems to belong to Public History Thomas Cauvin author of the path breaking book Public History A Textbook of Practice, even argues that we should all become public historians. In his book and as a public historian he explored fields as different as brewing and food history digital public history controversies over monuments public history as empowerment and the possibility of an international public history. Not only in these fields Public History seems to be on the rise Yet Public History also faces serious challenges such as the political fragmentation of societies and the idea of „alternative facts”. In his talk Thomas Cauvin will provide us with insights into the conceptual frame of Public History and use various examples to illustrate the practice of Public History. We will particularly discuss the role of Public History as a source of empowerment for underrepresented groups. This talk is part of the seminar History and Youtube organized by Anna Rosa Haumann and Florian Wagner at the University of Erfurt [less ▲]

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See detailPublic history training
Cauvin, Thomas UL

Presentation (2021)

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Peer Reviewed
See detailBasis of Image Analysis for Evaluating Cell Biomaterial Interaction Using Brightfield Microscopy
Uka, A.; Ndreu Halili, A.; Polisi, X. et al

in Cells Tissues Organs (2021), 210(2), 77-104

Medical imaging is a growing field that has stemmed from the need to conduct noninvasive diagnosis, monitoring, and analysis of biological systems. With the developments and advances in the medical field ... [more ▼]

Medical imaging is a growing field that has stemmed from the need to conduct noninvasive diagnosis, monitoring, and analysis of biological systems. With the developments and advances in the medical field and the new techniques that are used in the intervention of diseases, very soon the prevalence of implanted biomedical devices will be even more significant. The implanted materials in a biological system are used in diverse fields, which require lengthy evaluation and validation processes. However, currently the evaluation of the toxicity of biomaterials has not been fully automated yet. Moreover, image analysis is an integral part of biomaterial research, but it is not within the core capacities of a significant portion of biomaterial scientists, which results in the use of predominantly ready-made tools. The detailed image analysis can be conducted once all the relevant parameters including the inherent characteristics of image acquisition techniques are considered. Herein, we cover the currently used image analysis-based techniques for assessment of biomaterial/cell interaction with a specific focus on unstained brightfield microscopy acquired mostly in but not limited to microfluidic systems, which serve as multiparametric sensing platforms for noninvasive experimental measurements. We present the major imaging acquisition techniques that enable point-of-care testing when incorporated with microfluidic cells, discuss the constraints enforced by the geometry of the system and the material that is analyzed, and the challenges that rise in the image analysis when unstained cell imaging is employed. Emerging techniques such as utilization of machine learning and cell-specific pattern recognition algorithms and potential future directions are discussed. Automation and optimization of biomaterial assessment can facilitate the discovery of novel biomaterials together with making the validation of biomedical innovations cheaper and faster. © 2021 [less ▲]

Detailed reference viewed: 77 (2 UL)
See detailBelElect Dataset
Hoehn, Sviatlana UL

Textual, factual or bibliographical database (2021)

Detailed reference viewed: 40 (3 UL)