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See detailInclusive cultures in science education: the case of science learning in Luxembourg
Andersen, Katja Natalie UL; Battello, Nadia; Trap, Guillaume

in Andersen, Katja Natalie; Ferreira da Silva, Brigida Ticiane; de Moraes Novais, Valéria Silva (Eds.) Educação, cultura e inclusão: contextos internacionais e locais (2022)

The publication of the National Action Plans for People with Disabilities (LE GOUVERNEMENT DU GRAND-DUCHÉ DE LUXEMBOURG, 2016; MINISTÈRE DE LA FAMILLE, DE L’INTÉGRATION ET À LA GRANDE RÉGION, 2020) set ... [more ▼]

The publication of the National Action Plans for People with Disabilities (LE GOUVERNEMENT DU GRAND-DUCHÉ DE LUXEMBOURG, 2016; MINISTÈRE DE LA FAMILLE, DE L’INTÉGRATION ET À LA GRANDE RÉGION, 2020) set the political stage for strategies to intensify inclusion in Luxembourg. One area of focus is the right to education for people with disabilities, with the aim of fully developing the personality of all learners, their talents and creativity as well as their mental and physical abilities. This implies offering tasks and materials that take into account the learners’ diverse competencies, experiences, backgrounds, languages and ways of thinking and enable them to acquire knowledge on different learning paths and with diverse learning objectives. In other words, according to the action plans, inclusive education means offering learning opportunities that address the learners at their individual level of competence and support them in their learning linguistically, cognitively and practically. The informal learning setting of the Luxembourg Science Center with its interactive and hands-on activities enables learning at different levels of competence, in different languages and with an orientation toward practical applications. Based on several examples, this chapter discusses how the political intentions called for in the Luxembourg Action Plans for Inclusion can be put into practice. In a first step, the chapter reviews the Luxembourg Action Plans for the implementation of the UN Convention on the Rights of Persons with Disabilities and identifies actions that support the development of an inclusive culture in science learning for children and youth. Secondly, using selected activities of the Luxembourg Science Center, approaches are outlined for an inclusive education system in science learning that enables the learners to participate in experimentation and to access scientific content. Building on the selected examples, inclusive science learning is described as a process in which learners develop competencies in science through experimenting with materials and through the exchange with others in a way that is sensitive to diversity. This chapter discusses the implications of such an inclusion-sensitive science education in a theoretical (Section 2) and applied (Section 3) reflection, using the informal learning sector as an example. The concluding discussion (Section 4) summarizes the opportunities and difficulties of inclusive science learning, showing that informal and formal education settings complement each other to form a full picture of inclusive science learning. [less ▲]

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See detailNeue Perspektiven zur PISA Global Competence Messung basierend auf Reflexionen zum luxemburgischen Bildungsbericht
Andersen, Katja Natalie UL

in Zeitschrift für internationale Bildungsforschung und Entwicklungspädagogik (2022), 45(1), 33-38

In this article, the National Education Report Luxembourg 2021 with the focus on Education for Sustainable Development (ESD) is taken as the basis for developing new perspectives on the PISA Global ... [more ▼]

In this article, the National Education Report Luxembourg 2021 with the focus on Education for Sustainable Development (ESD) is taken as the basis for developing new perspectives on the PISA Global Competence measurement. In a first step, the empirical findings presented in the education report and their theoretical foundation are critically examined and impulses are shown that are significant for continuing the discussion about global competence measurement. Based on this, in a second step, the key competencies of ESD that become visible in the education report are worked out and compared with the approach of the OECD presented in the Global Competence Framework. The focus of the discussion is on transformative competence and multiliteracy competence. Based on this reflection, recommendations for the framing of the Global Competence measurement are concluded. [less ▲]

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See detailLanguage policies in the STE(A)M subjects: Inclusion, exclusion and abjection
Andersen, Katja Natalie UL; Bagger, Anette

in Karpava, Sviatlana (Ed.) Multilingualism, Multiculturalism and Inclusive Education (2022)

Language policies are of increasing importance in STEM teaching and learning in school systems, considering the increasing number of pupils who speak other family languages than the teaching language. The ... [more ▼]

Language policies are of increasing importance in STEM teaching and learning in school systems, considering the increasing number of pupils who speak other family languages than the teaching language. The latest PISA results as well as national testings (cf. LUCET & SCRIPT, 2021) have shown that pupils with family languages others than the school language tend to underperform in the STEM subjects. The combination of language policies, the global testing industry and the role of STEM subjects in school systems have been shown to undermine the inclusion of all pupils, especially in regards to language backgrounds. There are signs of systematic exclusion being the result of this. In this chapter we will display the language policies in two national contexts, the Swedish and the Luxembourgish ones, and specifically display issues of in(ex)clusion in relation to multilingualism in STEM teaching. The research question that guides this comparative and problematising endeavor is: What kinds of language policies appear in the STEM subjects and what processes of inclusion, exclusion and abjection does this enhance? The methodology builds on Popkewtiz’s (2013; 2014) approach on politics of schooling. Hence, policy texts are understood as inscription devices that attribute terms, possibilities and characteristics to different kinds of people (Hacking, 1999) and therefore produce norms that function to include social groups while others are absent by omission (Popkewitz, 2013; Valero, 2017). This chapter will unravel such in(ex)clusion processes and abjections by advocating discourse analysis aiming to examine laws and regulations on language use in STEM subjects in Sweden and Luxembourg for indications regarding the discourse on in(ex)clusion. Our results show, first, that different language and multilingualism policies become visible in the STEM documents which exist in the two national contexts. Secondly, this chapter discusses what impacts these policies have on matters of inclusion, exclusion or abjection in STEM teaching contexts at primary schools. [less ▲]

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See detailIn-Work Poverty in Europe. Vulnerable and Under-represented Persons in a Comparative Perspective
Ratti, Luca UL

Book published by Wolters Kluwer (2022)

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See detailThe Challenge of Defining, Measuring, and Overcoming In-Work Poverty in Europe: An Introduction
Ratti, Luca UL; Garcia Munoz Alhambra, Manuel Antonio UL; Vergnat, Vincent

in Ratti, Luca (Ed.) In-Work Poverty in Europe. Vulnerable and Under-represented Persons in a Comparative Perspective (2022)

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See detailExecuting trades in style: Retail investors vs. institutions.
Wolff, Christian UL

in Asia-Pacific Journalof Accounting & Economics (2022), 29(2), 344-362

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See detailUne informalité bien ordonnée ? La conversation académique sur Twitter
Clavert, Frédéric UL; Muller, Caroline

in Tracés. Revue de sciences humaines. (2021), (#21), 65-84

Twitter and social media do not have a good reputation. However, this reputation does not correspond, or only partly corresponds, to the experience of many researchers. Based on a corpus of tweets, we ... [more ▼]

Twitter and social media do not have a good reputation. However, this reputation does not correspond, or only partly corresponds, to the experience of many researchers. Based on a corpus of tweets, we argue in this article that academic Twitter reflects the material conditions of research in France, allows for greater visibility of researchers and consequently for the formation of atypical networks that does not occur in the more traditional places of academic socialization, all in a form of a “well-ordered” informality, partly constrained by the hierarchies of higher education and research. [less ▲]

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See detailEarly Diagnosis of Multiple Sclerosis Using Swept-Source Optical Coherence Tomography and Convolutional Neural Networks Trained with Data Augmentation
Lopez-Dorado, Almudena; Ortiz Del Castillo, Miguel UL; Saute, Maria et al

in Sensors (2021)

Background: The aim of this paper is to implement a system to facilitate the diagnosis of multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network (CNN) to classify ... [more ▼]

Background: The aim of this paper is to implement a system to facilitate the diagnosis of multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network (CNN) to classify images captured with swept-source optical coherence tomography (SS-OCT). Methods: SS-OCT images from 48 control subjects and 48 recently diagnosed MS patients have been used. These images show the thicknesses (45 × 60 points) of the following structures: complete retina, retinal nerve fiber layer, two ganglion cell layers (GCL+, GCL++) and choroid. The Cohen distance is used to identify the structures and the regions within them with greatest discriminant capacity. The original database of OCT images is augmented by a deep convolutional generative adversarial network to expand the CNN’s training set. Results: The retinal structures with greatest discriminant capacity are the GCL++ (44.99% of image points), complete retina (26.71%) and GCL+ (22.93%). Thresholding these images and using them as inputs to a CNN comprising two convolution modules and one classification module obtains sensitivity = specificity = 1.0. Conclusions: Feature pre-selection and the use of a convolutional neural network may be a promising, nonharmful, low-cost, easy-to-perform and effective means of assisting the early diagnosis of MS based on SS-OCT thickness data [less ▲]

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See detailINVESTIGATION OF POINTNET FOR SEMANTIC SEGMENTATION OF LARGE-SCALE OUTDOOR POINT CLOUDS
Nurunnabi, Abdul Awal Md UL; Teferle, Felix Norman UL; Li, J. et al

Scientific journal (2021)

Semantic segmentation of point clouds is indispensable for 3D scene understanding. Point clouds have credibility for capturing geometry of objects including shape, size, and orientation. Deep learning (DL ... [more ▼]

Semantic segmentation of point clouds is indispensable for 3D scene understanding. Point clouds have credibility for capturing geometry of objects including shape, size, and orientation. Deep learning (DL) has been recognized as the most successful approach for image semantic segmentation. Applied to point clouds, performance of the many DL algorithms degrades, because point clouds are often sparse and have irregular data format. As a result, point clouds are regularly first transformed into voxel grids or image collections. PointNet was the first promising algorithm that feeds point clouds directly into the DL architecture. Although PointNet achieved remarkable performance on indoor point clouds, its performance has not been extensively studied in large-scale outdoor point clouds. So far, we know, no study on large-scale aerial point clouds investigates the sensitivity of the hyper-parameters used in the PointNet. This paper evaluates PointNet’s performance for semantic segmentation through three large-scale Airborne Laser Scanning (ALS) point clouds of urban environments. Reported results show that PointNet has potential in large-scale outdoor scene semantic segmentation. A remarkable limitation of PointNet is that it does not consider local structure induced by the metric space made by its local neighbors. Experiments exhibit PointNet is expressively sensitive to the hyper-parameters like batch-size, block partition and the number of points in a block. For an ALS dataset, we get significant difference between overall accuracies of 67.5% and 72.8%, for the block sizes of 5m×5m and 10m×10m, respectively. Results also discover that the performance of PointNet depends on the selection of input vectors. [less ▲]

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See detailbinny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets 2021.12.22.473795
Hickl, Oskar UL; Teixeira Queiros, Pedro UL; Wilmes, Paul UL et al

E-print/Working paper (2021)

The reconstruction of genomes is a critical step in genome-resolved metagenomics as well as for multi-omic data integration from microbial communities. Here, we present binny, a binning tool that produces ... [more ▼]

The reconstruction of genomes is a critical step in genome-resolved metagenomics as well as for multi-omic data integration from microbial communities. Here, we present binny, a binning tool that produces high-quality metagenome-assembled genomes from both contiguous and highly fragmented genomes. Based on established metrics, binny outperforms existing state-of-the-art binning methods and finds unique genomes that could not be detected by other methods.binny uses k-mer-composition and coverage by metagenomic reads for iterative, non-linear dimension reduction of genomic signatures as well as subsequent automated contig clustering with cluster assessment using lineage-specific marker gene sets.When compared to five widely used binning algorithms, binny recovers the most near-complete (\>95 pure, \>90 complete) and high-quality (\>90 pure, \>70 complete) genomes from simulated data sets from the Critical Assessment of Metagenome Interpretation (CAMI) initiative, as well as from a real-world benchmark comprised of metagenomes from various environments. binny is implemented as Snakemake workflow and available from https://github.com/a-h-b/binny.Competing Interest StatementThe authors have declared no competing interest. [less ▲]

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See detailQuantitative volatile organic compound sensing with liquid crystal core fibers
Schelski, Katrin UL; Reyes, Catherine UL; Pschyklenk, Lukas et al

in Cell Reports Physical Science (2021), 2(12), 100661

Polymer fibers with liquid crystals (LCs) in the core have potential as autonomous sensors of airborne volatile organic compounds (VOCs), with a high surface-to-volume ratio enabling fast and sensi- tive ... [more ▼]

Polymer fibers with liquid crystals (LCs) in the core have potential as autonomous sensors of airborne volatile organic compounds (VOCs), with a high surface-to-volume ratio enabling fast and sensi- tive response and an attractive non-woven textile form factor. We demonstrate their ability to continuously and quantitatively mea- sure the concentration of toluene, cyclohexane, and isopropanol as representative VOCs, via the impact of each VOC on the LC bire- fringence. The response is fully reversible and repeatable over several cycles, the response time can be as low as seconds, and high sensitivity is achieved when the operating temperature is near the LC-isotropic transition temperature. We propose that a broad operating temperature range can be realized by combining fi- bers with different LC mixtures, yielding autonomous VOC sensors suitable for integration in apparel or in furniture that can compete with existing consumer-grade electronic VOC sensors in terms of sensitivity and response speed. [less ▲]

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