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eLo
No full textLa plateforme eLo est le fruit d'une recherche-action qui accompagne et analyse la transition socioécologique du secteur culturel de la zone Aliette-Belval
Enregistrer, quantifier et contrôler les migrations dans une ville industrielle du Luxembourg : Dudelange, fin XIXe -XXe siècles.
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Towards a Framework for Conceptualising Holistic Wellbeing in Schools
Full text linkpeer reviewedHuman wellbeing is highly interconnected with the wellbeing (and survival) of the whole Earth’s ecosystem. Schools are important places in which people learn how to enhance both present and future wellbeing. To date, however, there are no school wellbeing frameworks that holistically consider the psychosocial and physical wellbeing of the entire school community and extend the concept of wellbeing beyond human boundaries. This paper focuses on the need to increase our understanding of what holistic wellbeing in schools means from a broad perspective, including not only various aspects of human wellbeing but also non-human aspects of wellbeing into a single conceptual framework. The framework was developed based on a narrative literature review consisting of 107 articles. The profound joy and happiness of both teachers and learners form the foundation of our conceptualisation of wellbeing. In addition to these core concepts, and based on the earlier conceptualisations of holistic wellbeing, our framework includes physical, psychological, social, creative and socioeconomic dimensions of wellbeing. Finally, all these wellbeing dimensions are highly dependent on planetary wellbeing. The framework is designed to serve as a basis for developing pre- and in-service teacher training programmes and to support school leaders and educational policymakers in their efforts to promote holistic wellbeing at schools.Joyful Schools – Joyful Schools: active learning strategies for health, well-being and growth mindse
Leveraging open cheminformatics tools for non-targeted metabolomics analysis of C. elegans: a workflow comparison and application to strains related to xenobiotic metabolism and neurodegeneration
Full text linkCaenorhabditis elegans (C. elegans) is a well-established nematode model for studying metabolism and neurodegenerative disorders, such as Alzheimer’s (AD) and Parkinson’s disease (PD). Non-targeted metabolomics via liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) has proven useful for uncovering metabolic changes in biological systems. Here, we present workflows for C. elegans metabolomics, leveraging advanced open science tools. We compared two metabolite extraction methods: a monophasic extraction, which provided broader metabolite coverage in analyses conducted in hydrophilic interaction with positive polarity (HILIC POS), and a biphasic extraction, which yielded more features in reverse-phase C18 chromatography with negative polarity (RPLC NEG) analyses. Data were processed using patRoon, integrating IPO, XCMS, CAMERA, and MetFrag, which incorporated PubChemLite compounds and C. elegans-specific metabolites from an expanded WormJam database enhanced with PubChem and literature sources. MS-DIAL was also employed for data processing, allowing for expanded annotations with predicted spectra for the expanded WormJam metabolites calculated using CFM-ID. Significant metabolite differences were identified when comparing the Bristol (N2) wildtype strain with two knockout strains of xenobiotic-metabolizing enzymes and two transgenic strains related to neurodegenerative pathways. Pooled quality control (QC) samples for each strain ensured robust data quality and the detection of strain-related metabolites. Our study indicates the potential of non-targeted metabolomics for metabolite discovery employing open science tools in metabolomics studies of model organisms
Measuring adequacy of minimum wages in the multi-level system
No full textpeer reviewedThe measuring of the adequacy thresholds of the minimum wage in the multilevel
system. The minimum wage is becoming increasingly important at the macroeconomic, social
and legal level, for this reason it is now essential to focus on the meaning of setting minimum
wages at an “adequate” level. Directive 2022/2041 identifies the measure of adequacy by
referring to some indices or parameters already known at a statistical level, but the question
posed by the A. concerns the scope of these parameters and their effective translation at the level
of the EU Member States, given the profound differences between the systems for determining
the minimum wage and industrial relations. The analysis focuses on the scope of the salary
adequacy threshold in supranational sources and on the legal effectiveness of art. 5 of the
Directive, in order to define the impact of the adequacy threshold at a national level. Particular
attention is paid to the Italian situation, where the analysis is conducted by recalling both the important doctrinal debate, recently influenced by the orientations of the Supreme Court on the
“constitutional” minimum wage, and the institutional position of the CNEL on the minimum
salary threshold and working poverty. The A. highlights the centrality of a comparative analysis
of the different mechanisms that govern the setting of the adequacy of minimum wages in order
to guide legislative choices in the direction traced by supranational sources
EDPB’s Opinion 28/2024 on Certain Data Protection Aspects Related to the Processing of Personal Data in the Context of AI Models: A Missed Chance?
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Title Holistic Simulation of Heat Extraction Sheet Pile Walls for Renewable Energy Extraction
Full text linkThis study numerically investigates Heat Extraction Sheet Pile Walls (HESPWs) for low-temperature geothermal energy using a 3D transient heat-transfer model in COMSOL Multiphysics. We analyze how flow rates, boundary conditions, and thermal interactions between sheet piles, soil, canals, and the atmosphere affect performance in an urban canal context. Simulations show higher flow rates lower outlet temperatures but boost total heat extraction, while the Thermal to Pumping Power Ratio (TPR) drops due to increased pumping needs. Lower flow rates improve TPR but limit energy output. These trade-offs emphasize tailoring flow rates to goalsmaximizing power for district heating or efficiency for smaller systems. HESPWs prove viable for urban infrastructure, combining structural support with sustainable heating and cooling