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is the radiative cavity surrounding the emitter. This cavity controls how thermal radiation is exchanged between the emitter and the photovoltaic cells, influencing the spatial distribution
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significantly improve the resolution of regional models of the crust and upper mantle of the FMC, including the distributions of shear wave velocities and radial and azimuthal anisotropies (e.g., Mordret et al
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supervision and strong domain shifts across sensors and artworks. Pigment identification can then be derived from the unmixing outputs (endmember presence and abundance distributions), while optional auxiliary
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emulsion stepwise polymerization and dynamic covalent networks to synthesize functional latexes with a regular and dense distribution of dynamic/cleavable thioester [-S-C(=O)-] or disulfide [-S-S-] clusters
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nanoagents leads to a global heating until a steady state is reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal
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chemical production, the focus is on optimizing yield, distribution, or conversion by testing different operating conditions (pressure, concentration, temperature, etc.) and at isothermal conditions. Then
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circulation phenomena (jets, temperature and precipitation distributions) are affected by SAI and vary according to different SAI strategies. Substantial variations are indeed expected (e.g., Bednarz et al
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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to orchestrated sequences of API calls, data retrieval, and robotic actions across a heterogeneous and distributed ecosystem of IoT devices, drone services, and farm robots. Technically, the project will focus