27242 research outputs found

    Structure and Thermal Properties of Bio-Based Blends from Functionalized Lignin for Additive Manufacturing

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    International audienceThe integration of bio-based materials into Additive Manufacturing (AM) is one of today's challenges, particularly with the rise of 4D printing. AM enables a sustainable alternative to traditional petrochemical materials, while meeting growing demands for a reduced environmental footprint. The aim of this study is to improve the compatibility of lignin with poly (lactic acid) (PLA) and polyamide (PA11) polymers through lignin catalytic reaction to obtain composite materials with optimized properties. In this study, extruded blends of PLA and PA11 with different weight ratios (10% - 30%) of kraft lignin, functionalized with glycidyl allyl ether (GDA) and epoxidized methyl 10-undecenoate (MUDE), as well as native lignin, were examined. In particular, the study focuses on GDA-functionalized lignin due to its high functionalization. Characterization of the lignin and its blends was assessed with a variety of analytical techniques, including differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), dynamic mechanical analysis (DMA), and Rheometry. The results show that glass transition of lignin varied between 93 °C and 144 °C, with a 26% mass variation for functionalized lignin, compared to native Kraft and soda lignin, which show around 22% and 24%, respectively. These results indicate that PLA/lignin and PA11/lignin blends functionalized with GDA enhance the thermal stability of the material, acting as a natural stabilizer capable of delaying thermal degradation under heat exposure. This makes them suitable for the manufacturing of high-lignin biobased filaments for 3D/4D printing

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    Métamorphoses du patrimoine

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    International audienceLe colloque « Métamorphoses du patrimoine », tenu au château d’Hardelot les 31 mai-2 juin 2023, a rassemblé enseignants-chercheurs et doctorants autour de cette thématique définie comme prioritaire au sein de l’Alliance A2U (Université Littoral Côte d’Opale, Université d’Artois, Université de Picardie Jules Verne).Les contributions pluridisciplinaires ont fait le point sur les différents sens et acceptions du mot « patrimoine », sur les définitions internationales officielles et politiques du terme, et sur une étude plus disciplinaire du moment où a été évoquée ou décrétée l’idée de « conservation » ou de « restauration » de patrimoines autour d’études de cas

    « Comment la Grande Mademoiselle devint-elle une héroïne de la Fronde ? »

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    “Is IT really good for all?” Evidence of different stakeholders’ perspectives on the digital transformation of hospitals in the French health context

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    International audienceOver the last two decades, processes of digital transformation have been progressively implemented in the sphere of public services, including the health sector, albeit at difference paces depending on organizations’ levels of digital maturity. Although the nominal advantages of digitalizing health services are well identified in the conception phase, once implemented, the perceptions of different stakeholders tend to differentiate, even generating certain tensions. Based on qualitative grounded theory research approach among 15 different stakeholders from nine different hospitals of a regional health system located in the northern part of France, this study shows that different stakeholders perceived different advantages, such as improving the integration between the different stakeholders’ practices, improving care practices, offering more services, and reducing costs and increasing efficiency. However, a paradox also emerged in the contraposition between the need for higher perceived quality, which requires more investments, and the search for efficiency through the digital transformation of health services, which aims at reducing costs. We conclude by discussing the theoretical contributions and implications for practice

    Sputtered molybdenum nitride films for asymmetric micro-supercapacitors in aqueous electrolyte

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    Data availabilityData for this article, including SEM, XRD, XPS, Raman, XAS, AFM, electrochemical cycling, EPR, electrical conductivity, bulk density measurements are available at the following URL https://nextcloud.univ-lille.fr/index.php/s/qRqJ4mo4aWYq45rInternational audienceHere we investigated the electrochemical performance of molybdenum nitride films as an efficient electrode for asymmetric micro-supercapacitors. Molybdenum nitride films were successfully deposited and optimized by reactive magnetron sputtering. On the one hand, the tuning of several deposition parameters (pressure, gas flow rates) allows obtaining molybdenum nitride electrode with high porosity and high electrical conductivity. On the other hand, Operando X-ray diffraction, operando Raman spectroscopy and operando X-ray absorption spectroscopy are combined to unveil the charge storage process in 1 M KOH aqueous electrolyte. These measurements clearly reveal the role of molybdenum oxide species in the pseudocapacitive mechanism at the oxide/electrolyte interface. High volumetric capacitance up to 624 F·cm⁻³ with excellent capacitance retention of 95 % over 20 000 cycles was achieved in 1 M KOH

    Linked avian influenza epidemiological and genomic data in EMPRES-i for epidemic intelligence (2012–2021)

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    International audienceDue to its highly contagious nature, Avian Influenza (AI) is considered an animal health emergency affecting commercial sector and wild bird populations. Several genome sequencing databases have been created to help researchers understand how AI viruses evolve, spread, and cause disease. However, for a global epidemic monitoring approach, they need to be combined to public health surveillance systems, the well-one being EMPRES-i from the World Organisation for Animal Health (WOAH) and the Food and Agriculture Organization of the United Nations (FAO).This paper presents a new AI dataset, in which EMPRES-i is enriched thanks to the genome sequence data of Avian Influenza cases affecting bird species from 2012 to 2021, publicly provided by the Bacterial and Viral Bioinformatics Resource Center (BV-BRC). This dataset is obtained by automatically linking sequence information in BV-BRC to the AI events in EMPRES-i, which results in “putatively” linked events between these two sources. The collected data is structured by nature, but it is preprocessed and normalized for the purpose of high-quality data linkage. Moreover, several data linkage strategies and missing information handling are introduced. To show the usefulness of our dataset, we quantitatively evaluate the proposed strategies in randomly sampled events and present in the end a diffusion network inference task

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