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the added value of this approach with regard to chemical contamination (Hani et al., 2021), microbiological contamination (Capizzi-Banas et al., 2021) and the assessment of toxicity (i.e. immunotoxicity
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sommeil paradoxal dans les maladies neurodégénératives touchant ce stade de sommeil, en se concentrant sur les pathologies les plus courantes dans la population générale i.e., la maladie à corps de Lewy, la
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for the energy conversion i.e., the TE figure of merit of a material is defined by the dimensionless ZT = S2σ/(κe+κl) where S is the Seebeck coefficient, σ is the electrical conductivity T is the absolute
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. Similar approach will be applied to the design and characterization of logic gates (i.e., NAND, XOR, NOT, …). 3. Characterization of FeFET-based Logic/Memory Elements (M13-M18) • The goal of this task is to
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | 2 days ago
for early disease diagnosis and biomarker monitoring due to their sensitivity in detecting small variations in mechanical properties (i.e. changes in mass, density, rigidity, viscosity) resulting from
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of GeSn, where a direct band gap material (i.e. high efficiency for the optical emission) is obtained at Sn contents of >9 at.%. Prototypes of GeSn photodetectors, lasers, and LEDs have been fabricated from
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imaging (fMRI). Recent studies [2, 3, 4] have shown the high potential of combining EEG and fMRI in a bi-modal NF training (i.e., NF scores are estimated in real-time from features of both modalities
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have been essentially dictated by practical considerations of cellar management. The aim is generally to speed up fermentation, i.e. to accelerate the conversion of residual sugar, which is slower
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the Last Glacial Maximum. Two major problems remain, and will be goals prioritized in this PhD project: 1) Earliest examples of microblade pressure flaking (i.e. pre-dating the Last Glacial Maximum
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | 1 day ago
based on the most recent deep learning approaches that train language models using few or no training examples by transfer learning or exploiting existing structured information, i.e. knowledge bases and