867,265 research outputs found

    Metabolic flexibility as a major predictor of spatial distribution in microbial communities

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    A better understand the ecology of microbes and their role in the global ecosystem could be achieved if traditional ecological theories can be applied to microbes. In ecology organisms are defined as specialists or generalists according to the breadth of their niche. Spatial distribution is often used as a proxy measure of niche breadth; generalists have broad niches and a wide spatial distribution and specialists a narrow niche and spatial distribution. Previous studies suggest that microbial distribution patterns are contrary to this idea; a microbial generalist genus (Desulfobulbus) has a limited spatial distribution while a specialist genus (Methanosaeta) has a cosmopolitan distribution. Therefore, we hypothesise that this counter-intuitive distribution within generalist and specialist microbial genera is a common microbial characteristic. Using molecular fingerprinting the distribution of four microbial genera, two generalists, Desulfobulbus and the methanogenic archaea Methanosarcina, and two specialists, Methanosaeta and the sulfate-reducing bacteria Desulfobacter were analysed in sediment samples from along a UK estuary. Detected genotypes of both generalist genera showed a distinct spatial distribution, significantly correlated with geographic distance between sites. Genotypes of both specialist genera showed no significant differential spatial distribution. These data support the hypothesis that the spatial distribution of specialist and generalist microbes does not match that seen with specialist and generalist large organisms. It may be that generalist microbes, while having a wider potential niche, are constrained, possibly by intrageneric competition, to exploit only a small part of that potential niche while specialists, with far fewer constraints to their niche, are more capable of filling their potential niche more effectively, perhaps by avoiding intrageneric competition. We suggest that these counter-intuitive distribution patterns may be a common feature of microbes in general and represent a distinct microbial principle in ecology, which is a real challenge if we are to develop a truly inclusive ecology

    3D differential phase contrast microscopy

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    We demonstrate 3D phase and absorption recovery from partially coherent intensity images captured with a programmable LED array source. Images are captured through-focus with four different illumination patterns. Using first Born and weak object approximations (WOA), a linear 3D differential phase contrast (DPC) model is derived. The partially coherent transfer functions relate the sample's complex refractive index distribution to intensity measurements at varying defocus. Volumetric reconstruction is achieved by a global FFT-based method, without an intermediate 2D phase retrieval step. Because the illumination is spatially partially coherent, the transverse resolution of the reconstructed field achieves twice the NA of coherent systems and improved axial resolution

    Differential distribution patterns in cerebellar irrigation. A study with autopsy material

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    Aim: The aim of this investigation was characterize morphologically the cerebellar artery and its branches in a specimen of autopsy material. Methods: This descriptive cross-sectional study evaluated the anatomical characteristics of the cerebellar arteries and their branches in 93 brain stem and cerebellum blocks obtained from fresh cadavers. The specimens were perfused bilaterally channeling the proximal segments of the internal carotid and vertebral arteries with a semi-synthetic resin (Palatal GP40L 85%; styrene 15%) impregnated with mineral red dye. We evaluated the distribution patterns of the cerebellar artery and its branches. Results: The calibers of the superior cerebellar artery (SCA), anterior inferior cerebellar artery (AICA) and posterior inferior cerebellar artery (PICA) were 1.46 ± 0.2 mm, 1.02 ± 0.35 mm and 1.45 ± 0.37 mm, respectively. Agenesis of the SCA was observed in six specimens (3.2%), AICA in 30 (16.1%), and PICA in 14 (7.5%) specimens. Usual irrigation was observed in 44 (47.3%) cerebellar blocks, whereas 49 (52.7%) specimens showed irrigation variants, 23 (46.9%) of which appeared bilaterally. The dominant distribution of the cerebellar arteries corresponded to SCA in 9 (12.5%) cases, AICA in 46 (63.9%) and PICA in 7 (9.7%) specimens; shared dominance was found in 10 (13.9%) specimens. Conclusion: The high variability of the cerebellar arteries observed in the present study is consistent with previous reports. The diverse anatomic expressions of the cerebellar arteries were typified in relation to their dominance and territories irrigated, useful for the diagnosis and clinical-surgical management of the cerebellum blood supply

    Labour Market Institutions and the Personal Distribution of Income in the OECD

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    We examine the determinants of differences across countries and over time in the distribution of personal incomes in the OECD. The Gini coefficient of personal incomes can be expressed as a function of the wage differential, the labour share, and the unemployment rate, hence labour market institutions are an essential determinant of the distribution of income, although the sign of their impact is ambiguous. We use a panel of OECD countries for the period 1970-96 to examine these effects. We find, first, that the labour share remains an important determinant of overall inequality patterns, and, second, that stronger unions and a more generous unemployment benefit tend to reduce income inequality. High capital-labour ratios also emerge as a strong equalising factor, which has in part offset the impact of increasing wage inequality on the US distribution of personal incomes.income inequality, labour share, trade unions

    Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury

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    Background: Recent studies show that spatial distribution of High Density surface EMG maps (HD-EMG) improves the identification of tasks and their corresponding contraction levels. However, in patients with incomplete spinal cord injury (iSCI), some nerves that control muscles are damaged, leaving some muscle parts without an innervation. Therefore, HD-EMG maps in patients with iSCI are affected by the injury and they can be different for every patient. The objective of this study is to investigate the spatial distribution of intensity in HD-EMG recordings to distinguish co-activation patterns for different tasks and effort levels in patients with iSCI. These patterns are evaluated to be used for extraction of motion intention.; Method: HD-EMG was recorded in patients during four isometric tasks of the forearm at three different effort levels. A linear discriminant classifier based on intensity and spatial features of HD-EMG maps of five upper-limb muscles was used to identify the attempted tasks. Task and force identification were evaluated for each patient individually, and the reliability of the identification was tested with respect to muscle fatigue and time interval between training and identification. Results: Three feature sets were analyzed in the identification: 1) intensity of the HD-EMG map, 2) intensity and center of gravity of HD-EMG maps and 3) intensity of a single differential EMG channel (gold standard).; Results show that the combination of intensity and spatial features in classification identifies tasks and effort levels properly (Acc = 98.8 %; S = 92.5 %; P = 93.2 %; SP = 99.4 %) and outperforms significantly the other two feature sets (p < 0.05).; Conclusion: In spite of the limited motor functionality, a specific co-activation pattern for each patient exists for both intensity, and spatial distribution of myoelectric activity. The spatial distribution is less sensitive than intensity to myoelectric changes that occur due to fatigue, and other time-dependent influences.Peer ReviewedPostprint (published version
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