Tind Technologies (Norway)
Hes-so: ArODES Open Archive (University of Applied Sciences and Arts Western Switzerland / Haute école spécialisée de Suisse occidentale / FH Westschweiz)Not a member yet
15764 research outputs found
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Mother of all labour ::vulnerability and immunity in times of Ebola
No full textWonkifong Ebola treatment unit was unique at the time of the outbreak that hit the Guinea in 2014. Contrary to other infrastructures run by Western workers, Wonkifong mainly employed personnel from Guinea, the Democratic Republic of Congo, and Cuba. Even so, the unit constituted a racialised landscape where
proximity to white agencies granted privileges to certain groups of racialised people while excluding others. In a humanitarian infrastructure aimed at empowering knowledge of epidemics in the Global South, Black children were quarantined without their parents and left mostly unattended. After many months, former patients were hired as nannies to remedy the infrastructure’s blind spot. These women were employed to care for the children thanks to their immunity to the virus. Building on the concept of a ‘politics of life’ and exploring how these women were exploited as ‘medical superbodies’, my article sheds light on how the humanitarian infrastructure produced a gendered labour that mirrors other economies exploiting female Black bodies such as the colony or the plantation. Relying on an ethnography of practices of care and mobility within the unit, this piece underlines how the postcolonial segregation at play during the outbreak operated not strictly in terms of skin colour, but in terms of gender and closeness to white power
MVDC distribution concept for green data centers ::achieving the sustainability roadmap with highest efficiency
No full textThis paper proposes a DC electric energy distribution scheme for data centers. Most state-of-the-art data centers use AC distribution at all voltage levels, from MV at the feeder substation down to the 380 VAC indoor distribution level for direct connection of IT racks. This paper provides a DC distribution scheme that is equivalent to state-of-the-art AC distribution systems in terms of specific and very stringent availability and reliability requirements. It features significant benefits in terms of efficiency and controllability and focuses specifically on the integration of solar power, fuel cells, and battery-based UPS, with the MV Solid State Transformer (“SST”) as the enabling technology. The proposed DC distribution scheme provides flexible solution for future green data centers committed to the 2030 Sustainability Roadmap – 100% supply from renewable energy sources at any hour
De la contrainte vécue en psychiatrie à la justice réparatrice dans un contexte de formation interprofessionnelle en sciences infirmières et en médecine
No full textPourquoi prévenir les blessures en sport
No full textDans le monde du sport, la blessure fait partie des plus grands obstacles à la réussite. Pour les athlètes, éviter une blessure grave signifie préserver leur carrière et leur potentiel. Une blessure peut briser un rêve en mettant prématurément fin à une carrière prometteuse. De plus, éviter une blessure grave permet aussi de préserver le corps à moyen et long termes
Formation de base et post-grade dans le domaine de la nutrition et de la diététique = Formazione e formazione continua nel settore nutrizione e dietetica - Aus- und Weiterbildungen im Bereich Ernährung und Diätetik ::opportunités de l’apprentissage tout au long de la vie = opportunità per l’apprendimento permanente = Chancen für das lebenslange Lernen
No full textUn système de santé en pleine mutation, des technologies numériques innovantes, les dernières découvertes de la recherche et des connaissances spécialisées en nutrition et diététique qui ne cessent de se développer: tout cela nécessite un apprentissage tout au long de la vie afin de pouvoir suivre le rythme des changements. Dans cet article, nous jetons un éclairage sur les possibilités de formation de base et post-grade dans le domaine du conseil diététique, afin de promouvoir de manière ciblée l’évolution de carrière des diététicien-ne-s.Un settore sanitario in evoluzione, tecnologie digitali innovative, nuovi risultati della ricerca e sempre più ampie conoscenze scientifiche nell’ambito di nutrizione e dietetica: per stare al passo con i cambiamenti, l’apprendimento permanente è essenziale. In questo articolo illustriamo le opportunità di formazione e formazione continua nell’ambito della consulenza nutrizionale, al fine di promuovere in modo mirato lo sviluppo della carriera di dietiste e dietisti.Ein sich wandelndes Gesundheitswesen, innovative digitale Technologien, neue Erkenntnisse aus der Forschung und stetig wachsendes Fachwissen in der Ernährung und Diätetik all das erfordert lebenslanges Lernen, um mit den Änderungen Schritt halten zu können. In diesem Artikel beleuchten wir Aus- und Weiterbildungsmöglichkeiten im Bereich der Ernährungsberatung, um die Karriereentwicklung von Ernährungsberater/innen zielgerichtet zu fördern
Quantum descriptor-based machine-learning modeling of thermal hazard of cyclic sulfamidates
No full textCyclic sulfamidates are commonly used building blocks in organic synthesis. Correct classification of their thermal criticality is crucial for the safe use of these compounds in process development and scale-up. In this study, building on our earlier work (Ferrari et al., 2022), we focused on modeling the reaction enthalpy of a family of 5-membered cyclic sulfamidates toward strong bases. The key challenge for the modeling task was the sparse availability of measured reaction enthalpies, with only 29 measurements available. To address this challenge, we used descriptors based on the quantum-chemical properties of the molecules, as they are more closely related to reaction enthalpies than typical cheminformatics-based descriptors. This approach allowed us to avoid relying solely on data-to-fit models and to focus instead on modeling reaction enthalpies using chemistry-aware techniques, which are more appropriate for small data sets. Three models were constructed using the quantum-chemical descriptors: the first one combining Partial Least Squares (PLS) regression with a Genetic Algorithm (GA), the second one based on the Least Absolute Shrinkage and Selection Operator (LASSO) method, and last, a Gaussian Process Regression (GPR) model. The three models achieved coefficients of determination of 0.78, 0.67, and 0.74, respectively. Although the absolute prediction error values were close to 100 J/g, it is noteworthy that all three techniques provided similar results and accurately classified nearly all compounds into their respective thermal criticality classes. This highlights the methodology’s effectiveness in providing a reliable framework for preliminary safety assessment and decision-making in process development
Planning and scheduling in flexible and adaptive microfactories using reinforcement learning
No full textIn the context of Industry 4.0, the need for frequent and rapid adaptation of production is becoming increasingly critical. This paradigm shift requires systems capable of autonomously adjusting to dynamic conditions and responding in near real time to the factory’s operational state changes. Existing manufacturers, particularly in precision manufacturing where small batch production is prevalent, face significant difficulties in meeting these requirements. In this paper, we focus on two main challenges: (a) the limited flexibility of production systems, which are often not designed for frequent hardware or software reconfiguration, and (b) complexity in the optimization of production flow, which requires advanced planning and scheduling algorithms. To address these challenges, we propose an innovative method based on reinforcement learning (RL) for planning and scheduling optimization. Reinforcement learning enables systems to adapt efficiently and remain robust to changes in the face of change. We validated our method through simulations conducted on a flexible microfactory, MiLL, developed at Haute Ecole Arc. The RL agent’s performance surpasses a realistic baseline by an average of 8.1%, demonstrating its effectiveness in both planning and scheduling microfactory production. Our method is not confined to precision applications; it can also be applied to any scenario requiring robustness and flexibility
Exploring the early universe with deep learning
No full textHydrogen is the most abundant element in our Universe. The first generation of stars and galaxies produced photons that ionized hydrogen gas, driving a cosmological event known as the Epoch of Reionization (EoR). The upcoming Square Kilometre Array Observatory (SKAO) will map the distribution of neutral hydrogen during this era, aiding in the study of the properties of these first-generation objects. Extracting astrophysical information will be challenging, as SKAO will produce a tremendous amount of data where the hydrogen signal will be contaminated with undesired foreground contamination and instrumental systematics. To address this, we develop some of the latest deep learning techniques to extract information from the 2D power spectra of the hydrogen signal expected from SKAO. We apply a series of neural network models to these measurements and quantify their ability to predict the history of cosmic hydrogen reionization, which is connected to the increasing number and efficiency of early photon sources. We show that the study of the early Universe benefits from modern deep learning technology. In particular, we demonstrate that dedicated machine learning algorithms can achieve more than a 0.95 R2
score on average in recovering the reionization history. This enables accurate and precise cosmological and astrophysical inference of structure formation in the early Universe
Calcul infinitésimal ::calculs différentiel et intégral relatifs aux fonctions d'une variable
No full textDeux problèmes majeurs occupaient les mathématiciennes et mathématiciens du XVIIe siècle : la détermination de l’équation de la tangente à une courbe en un point donné, et le calcul de l’aire d’une surface non polygonale. L’étude du premier problème a donné naissance à ce que l’on appelle le calcul différentiel, le second, au calcul intégral. Si les problèmes des tangentes et des aires sont aujourd’hui maîtrisés, il n’en demeure pas moins que les calculs différentiel et intégral occupent une place importante dans le monde des sciences naturelles et de la technique.
Consacré aux calculs différentiel et intégral, le présent ouvrage s’adresse en priorité aux étudiantes et étudiants débutant une formation en ingénierie ; il couvre l’essentiel de la matière traitée lors de la première année d’étude au sein d’une haute école d’ingénierie suisse (HES). La plupart des notions indispensables sont introduites avec le souci de les expliquer, tantôt par des éléments historiques, tantôt par des besoins provenant des sciences expérimentales ou de l’ingénierie. Illustrations et exemples détaillés sont les atouts majeurs du présent ouvrage ; ils permettent à chaque lectrice et lecteur de saisir rapidement les enjeux des différents concepts, et ainsi de s’approprier les outils des calculs différentiel et intégral utiles aux sciences expérimentales et à l’ingénierie
Modular resonant converter for 25kV-8A power supply: design, implementation and real time simulation
No full textThis paper describes the design of a 300kW modular resonant power converter for an application in particle accelerators. The aim of the power supply is to provide a so-called RF cavity with 25kV DC voltage and a current up to 8A. Modular approach is chosen for redundancy and availability. Each module is composed of a resonant tank with a step-up MF transformer with its secondary windings put is series for reaching higher voltages. Full gain is ensured in the full operation frequency range considering component value inaccuracies and ageing of capacitors. The design of the resonant tank is detailed with its dimensioning and integration issues. Hardware in the loop validation of two control methods is done on one 100kW module to prepare experimental validation of a single module before implementing the full system