23 research outputs found

    Carbon and Nitrogen Economy of 24 Wild Species Differing in Relative Growth Rate

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    Collective charge excitations between moir\'e-minibands in twisted WSe2 bilayers from resonant inelastic light scattering

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    We establish low-temperature resonant inelastic light scattering (RILS) spectroscopy as a tool to probe the formation of a series of moir\'e-bands in twisted WSe2 bilayers by accessing collective inter-moir\'e-band excitations (IMBE). We observe resonances in such RILS spectra at energies in agreement with inter-moir\'e band (IMB) transitions obtained from an ab-initio based continuum model. Transitions between the first and second IMB for a twist angle of about 8{\deg} are reported and between first and second, third and higher bands for a twist of about 3{\deg}. The signatures from IMBE for the latter highlight a strong departure from parabolic bands with flat minibands exhibiting very high density of states in accord with theory. These observations allow to quantify the transition energies at the K-point where the states relevant for correlation physics are hosted.Comment: 6 pages, 3 figures and SI with 5 pages and 3 SI figure

    Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery

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    International audienceThe relationships that control seed production in trees are fundamental to understanding the evolution of forest species and their capacity to recover from increasing losses to drought, fire, and harvest. A synthesis of fecundity data from 714 species worldwide allowed us to examine hypotheses that are central to quantifying reproduction, a foundation for assessing fitness in forest trees. Four major findings emerged. First, seed production is not constrained by a strict trade-off between seed size and numbers. Instead, seed numbers vary over ten orders of magnitude, with species that invest in large seeds producing more seeds than expected from the 1:1 trade-off. Second, gymnosperms have lower seed production than angiosperms, potentially due to their extra investments in protective woody cones. Third, nutrient-demanding species, indicated by high foliar phosphorus concentrations, have low seed production. Finally, sensitivity of individual species to soil fertility varies widely, limiting the response of community seed production to fertility gradients. In combination, these findings can inform models of forest response that need to incorporate reproductive potential

    Limits to reproduction and seed size-number tradeoffs that shape forest dominance and future recovery

    Get PDF
    The relationships that control seed production in trees are fundamental to understanding the evolution of forest species and their capacity to recover from increasing losses to drought, fire, and harvest. A synthesis of fecundity data from 714 species worldwide allowed us to examine hypotheses that are central to quantifying reproduction, a foundation for assessing fitness in forest trees. Four major findings emerged. First, seed production is not constrained by a strict trade-off between seed size and numbers. Instead, seed numbers vary over ten orders of magnitude, with species that invest in large seeds producing more seeds than expected from the 1:1 trade-off. Second, gymnosperms have lower seed production than angiosperms, potentially due to their extra investments in protective woody cones. Third, nutrient-demanding species, indicated by high foliar phosphorus concentrations, have low seed production. Finally, sensitivity of individual species to soil fertility varies widely, limiting the response of community seed production to fertility gradients. In combination, these findings can inform models of forest response that need to incorporate reproductive potential

    Legislative Documents

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    Also, variously referred to as: House bills; House documents; House legislative documents; legislative documents; General Court documents

    Realistic lens distortion rendering

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    Rendering images with lens distortion that matches real cameras requires a camera model that allows calibration of relevant parameters based on real imagery. This requirement is not fulfilled for camera models typically used in the field of Computer Graphics. In this paper, we present two approaches to integrate realistic lens distortions effects into any graphics pipeline. Both approaches are based on the most widely used camera model in Computer Vision, and thus can reproduce the behavior of real calibrated cameras. The advantages and drawbacks of the two approaches are compared, and both are verified by recovering rendering parameters through a calibration performed on rendered images
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