986 resultados para |1514-1564


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Audit report on the Page County Landfill Association for the year ended June 30, 2015

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Audit report on the Heart of Iowa Regional Transit Agency for the year ended June 30, 2015

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Audit report on the Wayne-Ringgold-Decatur County Solid Waste Management Commission for the year ended June 30, 2015

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Audit report on the Appanoose County Service Agency in Centerville, Iowa for the year ended June 30, 2015

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Audit report on the North Central Iowa Regional Solid Waste Agency for the year ended June 30, 2015

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Audit report on the Central Iowa Juvenile Detention Center in Eldora, Iowa for the year ended June 30, 2015

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Audit report on the Butler County Area Solid Waste Commission for the year ended June 30, 2015

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Audit report on Southern Hills Regional Mental Health for the year ended June 30, 2015

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Audit report on the Cedar County Economic Development Commission for the year ended June 30, 2015

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Collection : Collection des anciennes descriptions de Paris ; X

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L'asphyxie positionnelle (AP) est une entité fatale consistant en une entrave mécanique des mouvements respiratoires, due à la position du corps. Les conséquences en sont une hypoventilation alvéolaire importante et, le cas échéant, une hyperexcitabilité cardiaque. Cette dernière se produit en raison d'une acidose respiratoire associée à une libération massive de catécholamines lorsqu'un individu est entravé et soumis à une contrainte physique. Ainsi, ce syndrome, qui peut se produire lors de diverses circonstances, est surtout observé lors de contraintes physiques et en association avec un Excited delirium (ED). Le diagnostic de l'AP se base essentiellement sur trois critères : une position corporelle entravant l'échange normal de gaz, l'impossibilité de se libérer de cette position et l'exclusion d'autres causes possibles de décès.

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It is well established that cancer cells can recruit CD11b(+) myeloid cells to promote tumor angiogenesis and tumor growth. Increasing interest has emerged on the identification of subpopulations of tumor-infiltrating CD11b(+) myeloid cells using flow cytometry techniques. In the literature, however, discrepancies exist on the phenotype of these cells (Coffelt et al., Am J Pathol 2010;176:1564-1576). Since flow cytometry analysis requires particular precautions for accurate sample preparation and trustable data acquisition, analysis, and interpretation, some discrepancies might be due to technical reasons rather than biological grounds. We used the syngenic orthotopic 4T1 mammary tumor model in immunocompetent BALB/c mice to analyze and compare the phenotype of CD11b(+) myeloid cells isolated from peripheral blood and from tumors, using six-color flow cytometry. We report here that the nonspecific antibody binding through Fc receptors, the presence of dead cells and cell doublets in tumor-derived samples concur to generate artifacts in the phenotype of tumor-infiltrating CD11b(+) subpopulations. We show that the heterogeneity of tumor-infiltrating CD11b(+) subpopulations analyzed without particular precautions was greatly reduced upon Fc block treatment, dead cells, and cell doublets exclusion. Phenotyping of tumor-infiltrating CD11b(+) cells was particularly sensitive to these parameters compared to circulating CD11b(+) cells. Taken together, our results identify Fc block treatment, dead cells, and cell doublets exclusion as simple but crucial steps for the proper analysis of tumor-infiltrating CD11b(+) cell populations.

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In this paper, two probabilistic adaptive algorithmsfor jointly detecting active users in a DS-CDMA system arereported. The first one, which is based on the theory of hiddenMarkov models (HMMâs) and the BaumâWech (BW) algorithm,is proposed within the CDMA scenario and compared withthe second one, which is a previously developed Viterbi-basedalgorithm. Both techniques are completely blind in the sense thatno knowledge of the signatures, channel state information, ortraining sequences is required for any user. Once convergencehas been achieved, an estimate of the signature of each userconvolved with its physical channel response (CR) and estimateddata sequences are provided. This CR estimate can be used toswitch to any decision-directed (DD) adaptation scheme. Performanceof the algorithms is verified via simulations as well as onexperimental data obtained in an underwater acoustics (UWA)environment. In both cases, performance is found to be highlysatisfactory, showing the nearâfar resistance of the analyzed algorithms.