Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks. We take an integrated approach that fuses probabilistic knowledge of 3D human pose with a multi-stage CNN architecture and uses the knowledge of plausible 3D landmark locations to refine the search for better 2D locations. The entire process is trained end-to-end, is extremely efficient and obtains state-of-the-art results on Human3.6M outperforming previous approaches both on 2D and 3D errors

Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture

We propose a CNN-based approach for multi-camera markerless motion capture of the human body. Unlike existing methods that first perform pose estimation on individual cameras and generate 3D models as post-processing, our approach makes use of 3D reasoning throughout a multi-stage approach. This novelty allows us to use provisional 3D models of human pose to rethink where the joints should be located in the image and to recover from past mistakes. Our principled refinement of 3D human poses lets us make use of image cues, even from images where we previously misdetected joints, to refine our estimates as part of an end-to-end approach. Finally, we demonstrate how the high-quality output of our multi-camera setup can be used as an additional training source to improve the accuracy of existing single camera models

Detection of the Cherenkov light diffused by Sea Water with the ULTRA Experiment

The study of Ultra High Energy Cosmic Rays represents one of the most challenging topic in the Cosmic Rays and in the Astroparticle Physics fields. The interaction of primary particles with atmospheric nuclei produces a huge Extensive Air Shower together with isotropic emission of UV fluorescence light and highly directional Cherenkov photons, that are reflected/diffused isotropically by the impact on the Earth's surface or on high optical depth clouds. For space-based observations, detecting the reflected Cherenkov signal in a delayed coincidence with the fluorescence light improves the accuracy of the shower reconstruction in space and in particular the measurement of the shower maximum, giving a strong signature for discriminating hadrons and neutrinos, and helping to estimate the primary chemical composition. Since the Earth's surface is mostly covered by water, the ULTRA (UV Light Transmission and Reflection in the Atmosphere)experiment has been designed to provide the diffusing properties of sea water, overcoming the lack of information in this specific field. A small EAS array, made up of 5 particle detectors, and an UV optical device, have been coupled to detect in coincidence both electromagnetic and UV components. The detector was in operation from May to December, 2005, in a small private harbor in Capo Granitola (Italy); the results of these measurements in terms of diffusion coefficient and threshold energy are presented here.Comment: 4 pages, 3 figures, PDF format, Proceedings of 30th ICRC, International Cosmic Ray Conference 2007, Merida, Yucatan, Mexico, 3-11 July 200

N-Acetylcysteine Serves as Substrate of 3-Mercaptopyruvate Sulfurtransferase and Stimulates Sulfide Metabolism in Colon Cancer Cells

Hydrogen sulfide (H2S) is an endogenously produced signaling molecule. The enzymes 3-mercaptopyruvate sulfurtransferase (MST), partly localized in mitochondria, and the inner mitochondrial membrane-associated sulfide:quinone oxidoreductase (SQR), besides being respectively involved in the synthesis and catabolism of H2S, generate sulfane sulfur species such as persulfides and polysulfides, currently recognized as mediating some of the H2S biological effects. Reprogramming of H2S metabolism was reported to support cellular proliferation and energy metabolism in cancer cells. As oxidative stress is a cancer hallmark and N-acetylcysteine (NAC) was recently suggested to act as an antioxidant by increasing intracellular levels of sulfane sulfur species, here we evaluated the effect of prolonged exposure to NAC on the H2S metabolism of SW480 colon cancer cells. Cells exposed to NAC for 24 h displayed increased expression and activity of MST and SQR. Furthermore, NAC was shown to: (i) persist at detectable levels inside the cells exposed to the drug for up to 24 h and (ii) sustain H2S synthesis by human MST more effectively than cysteine, as shown working on the isolated recombinant enzyme. We conclude that prolonged exposure of colon cancer cells to NAC stimulates H2S metabolism and that NAC can serve as a substrate for human MST

Modelagem de funções no cálculo dos índices DRIS.

O objetivo deste trabalho foi modelar o fator k e as funções DRIS para a diagnose foliar de mangueirascultivadas. Dez pomares comerciais, no estágio de produção, localizados no vale do Rio São Francisco, forammonitorados, mensalmente, durante dois anos, por meio da coleta de amostras foliares para determinação dosteores de N, P, K, Ca, Mg, B, Fe, Mn, Zn e Cu. Os dados foram testados quanto à normalidade e as relações entreas concentrações dos nutrientes foram usadas para calcular as normas DRIS, obtendo-se média, variância elimites máximo e mínimo de cada relação dentro da população amostrada. Os nutrientes foram classificadoscomo macronutrientes de resposta freqüente (MAF) (N, P e K), macronutrientes de resposta rara (MAR) (Ca eMg); micronutrientes de resposta freqüente (MIF) (B, Fe, Mn e Zn) e, micronutrientes de resposta rara (MIR)(Cu). Funções DRIS foram desenvolvidas para cada classe de nutrientes. O modelo desenvolvido expressa obalanço nutricional das plantas cultivadas ajustado a cada nutriente e reflete o comportamento biológico dasplantas como resultado da variação da disponibilidade dos nutrientes

Modelagem de funções no cálculo dos índices DRIS.

O objetivo deste trabalho foi modelar o fator k e as funções DRIS para a diagnose foliar de mangueiras cultivadas. Dez pomares comerciais, no estágio de produção, localizados no vale do Rio São Francisco, foram monitorados, mensalmente, durante dois anos, por meio da coleta de amostras foliares para determinação dos teores de N, P, K, Ca, Mg, B, Fe, Mn, Zn e Cu. Os dados foram testados quanto à normalidade e as relações entre as concentrações dos nutrientes foram usadas para calcular as normas DRIS, obtendo-se média, variância e limites máximo e mínimo de cada relação dentro da população amostrada. Os nutrientes foram classificados como macronutrientes de resposta freqüente (MAF) (N, P e K), macronutrientes de resposta rara (MAR) (Ca e Mg); micronutrientes de resposta freqüente (MIF) (B, Fe, Mn e Zn) e, micronutrientes de resposta rara (MIR) (Cu). Funções DRIS foram desenvolvidas para cada classe de nutrientes. O modelo desenvolvido expressa o balanço nutricional das plantas cultivadas ajustado a cada nutriente e reflete o comportamento biológico das plantas como resultado da variação da disponibilidade dos nutrientes