880 resultados para Riviera Maya


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Cover has title: La clave jeroglífica aplicada á la conquista de México, verificada por Hernán Cortés según el Códice Troano americano.

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Mode of access: Internet.

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Mode of access: Internet.

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Front Row: Marita Esteva, Kristie Aiuto, Scarlet McCarthy, Rossalyn Quaye, Jackie Pilette, Marcie Klein, Elizabeth Windram, Alison Massagli, Jeanine Seeger

Row 2: Jennifer Kinon, Jen Mayman, Lauren Maxwell, Erin Fitzgerald, Amy Ravit, Laurel LaCour, Maya Key, Amy Teunis, Nell Hurley, Erica Semeyn, Sarah Kepner

Row 3: Dawn Emick, Katie Roek, Tina Marzo, Courtney Jackson, Kendra Miller, Nora Obringer, Jaime Stilson, Danielle Starring, Anne Reader, Kate MacKenzie, Vita Scaglione

Row 4: Belinda Koo, Michelle Wolbert, Katherine Stone, Stephanie Norwell, Lisa Labadie, Jeanette Stawski, Nazema Siddiqui, Claudia Lopez, Katie Weed

Row 5: Emily Green, Tina Stutzman, Carrie Brecht, Kelly Raczak, Vanessa Giancamilli, Allison Torres, Heather Uhring, Ashley Andersen, Alyson Moskwa

Top Row: assistant coach Emily Ford, assistant coach Pam Carroll, head coach Mark Rothstein, special assistant Brady Bustany, student trainer Jennifer Nauman, student trainer Jennifer Jackson, student trainer Robin Reiter

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Includes bibliographical references.

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Thesis (Master's)--University of Washington, 2016-06

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Thesis (Master's)--University of Washington, 2016-06

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Thesis (Master's)--University of Washington, 2016-06

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Micro-Raman spectroscopy was applied to the study of multiple layered wall paints from the Rosalila temple, Copan, Honduras, which dates to the Middle Classic period (A.D. 520 to 655). Samples of red, green and grey paint and a thick white overcoating were analysed. The paint pigments have been identified as hematite, celadonite or green earth and a combined carbon/mica mixture. By combining Raman spectroscopy with micro-ATR infrared spectroscopy and environmental scanning electron microscopy (ESEM), a detailed study has been made of the materials and processes used to make the stucco and paints. The use of green earth as a green pigment on Maya buildings has not been reported before. The combination of carbon and muscovite mica to create a reflective paint is also a novel finding.

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We develop, implement and study a new Bayesian spatial mixture model (BSMM). The proposed BSMM allows for spatial structure in the binary activation indicators through a latent thresholded Gaussian Markov random field. We develop a Gibbs (MCMC) sampler to perform posterior inference on the model parameters, which then allows us to assess the posterior probabilities of activation for each voxel. One purpose of this article is to compare the HJ model and the BSMM in terms of receiver operating characteristics (ROC) curves. Also we consider the accuracy of the spatial mixture model and the BSMM for estimation of the size of the activation region in terms of bias, variance and mean squared error. We perform a simulation study to examine the aforementioned characteristics under a variety of configurations of spatial mixture model and BSMM both as the size of the region changes and as the magnitude of activation changes.

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High breakdown point estimators LME(k) and LT E(k) for location and scale are obtained for symmetrical exponentially decreasing density family.

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We obtain new combinatorial upper and lower bounds for the potential energy of designs in q-ary Hamming space. Combined with results on reducing the number of all feasible distance distributions of such designs this gives reasonable good bounds. We compute and compare our lower bounds to recently obtained universal lower bounds. Some examples in the binary case are considered.

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Coral reefs are declining worldwide due to increased incidence of climate-induced coral bleaching, which will have widespread biodiversity and economic impacts. A simple method to measure the sub-bleaching level of heat-light stress experienced by corals would greatly inform reef management practices by making it possible to assess the distribution of bleaching risks among individual reef sites. Gene expression analysis based on quantitative PCR (qPCR) can be used as a diagnostic tool to determine coral condition in situ. We evaluated the expression of 13 candidate genes during heat-light stress in a common Caribbean coral Porites astreoides, and observed strong and consistent changes in gene expression in two independent experiments. Furthermore, we found that the apparent return to baseline expression levels during a recovery phase was rapid, despite visible signs of colony bleaching. We show that the response to acute heat-light stress in P. astreoides can be monitored by measuring the difference in expression of only two genes: Hsp16 and actin. We demonstrate that this assay discriminates between corals sampled from two field sites experiencing different temperatures. We also show that the assay is applicable to an Indo-Pacific congener, P. lobata, and therefore could potentially be used to diagnose acute heat-light stress on coral reefs worldwide.