7,141 research outputs found

    Morphological and Behavioural Features of Bewo Cells Grown on Matrigel Offers a Model for Human Cytotrophoblast Cells During Early Implantation

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    In order to observe the morphological changes that occur in cell-cell and cell-matrix interactions among trophoblast cells and other neighbouring cells during human implantation, BeWo cells were cultured in a 3-dimensional artificial extracellular matrix (Matrigel) using a double-chamber system. These cultures were then processed for light and electron microscopical examination. Results obtained show that the morphology and behavioural pattern of BeWo cells grown on Matrigel is similar to that reported for in vitro normal human cytotrophoblast cells on extracellular matrix (ECM). These results suggest that culture of BeWo cells on extracellular matrices may be useful for the study of some of the early embryonic events leading to human implantation, especially during the period when trophoblastic cells interact with and erode the uterine epithelium and ECM. Keywords: BeWo cells, Trophoblast, Morphology, Matrigel, implantation Journal of Science and Technology Vol. 28 (1) 2008 pp. 4-1

    Distribution of the second virial coefficients of globular proteins

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    George and Wilson [Acta. Cryst. D 50, 361 (1994)] looked at the distribution of values of the second virial coefficient of globular proteins, under the conditions at which they crystallise. They found the values to lie within a fairly narrow range. We have defined a simple model of a generic globular protein. We then generate a set of proteins by picking values for the parameters of the model from a probability distribution. At fixed solubility, this set of proteins is found to have values of the second virial coefficient that fall within a fairly narrow range. The shape of the probability distribution of the second virial coefficient is Gaussian because the second virial coefficient is a sum of contributions from different patches on the protein surface.Comment: 5 pages, including 3 figure

    Morphological Variations of the ā€œBaby\'s Supply Lineā€

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    To contribute to the sparse information on dimensional variations of umbilical cords in Ghana, 124 placentae with attached umbilical cords were studied. The placentae were obtained from the University of Science and Technology Hospital between 2000 and 2002. Average cord length was 47.04cm (SD 12.8cm) with the shortest cord being 5.5cm and the longest 75.50cm. By empirical definition, 21.56% of the cords were Short whereas, 78.44% were long. Most of the umbilical cords (63%) had empirically eccentric attachments to their placentae; 20.48% had central and 16.52% had marginal attachments respectively. Occurrence of furcate insertion of umbilical cord vessels into the placenta was 28% and non-furcate insertion was 72%. These quantitative data provide baseline values for further investigation. Keywords: umbilical cords, morphology, length, attachments, looping, insertion Journal of Science and Technology Vol. 28 (2) 2008: pp. 1-

    Data processing of remotely sensed airborne hyperspectral data using the Airborne Processing Library (APL): Geocorrection algorithm descriptions and spatial accuracy assessment

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    This is the author's preprint. The final version is available from the publisher via the DOI in this record.The authors would like to thank Dr. Peter Land for useful discussions on reflectance spectra of ground targets. Fig. 9 contains Ordnance Survey OpenData Ā© Crown copyright and database right 2013. The hyperspectral data used in this report were collected by the Natural Environment Research Council Airborne Research and Survey Facility.Remote sensing airborne hyperspectral data are routinely used for applications including algorithm development for satellite sensors, environmental monitoring and atmospheric studies. Single flight lines of airborne hyperspectral data are often in the region of tens of gigabytes in size. This means that a single aircraft can collect terabytes of remotely sensed hyperspectral data during a single year. Before these data can be used for scientific analyses, they need to be radiometrically calibrated, synchronised with the aircraft's position and attitude and then geocorrected. To enable efficient processing of these large datasets the UK Airborne Research and Survey Facility has recently developed a software suite, the Airborne Processing Library (APL), for processing airborne hyperspectral data acquired from the Specim AISA Eagle and Hawk instruments. The APL toolbox allows users to radiometrically calibrate, geocorrect, reproject and resample airborne data. Each stage of the toolbox outputs data in the common Band Interleaved Lines (BILs) format, which allows its integration with other standard remote sensing software packages. APL was developed to be user-friendly and suitable for use on a workstation PC as well as for the automated processing of the facility; to this end APL can be used under both Windows and Linux environments on a single desktop machine or through a Grid engine. A graphical user interface also exists. In this paper we describe the Airborne Processing Library software, its algorithms and approach. We present example results from using APL with an AISA Eagle sensor and we assess its spatial accuracy using data from multiple flight lines collected during a campaign in 2008 together with in situ surveyed ground control points. Ā© 2013 Elsevier Ltd

    Estimation of Ocean Surface Currents from Maximum Cross Correlation applied to GOCI geostationary satellite remote sensing data over the Tsushima (Korea) Straits

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    Attempts to automatically estimate surface current velocities from satellite-derived thermal or visible imagery face the limitations of data occlusion due to cloud cover, the complex evolution of features and the degradation of their surface signature. The Geostationary Ocean Color Imager (GOCI) provides a chance to reappraise such techniques due to its multi-year record of hourly high-resolution visible spectrum data. Here we present the results of applying a Maximum Cross Correlation (MCC) technique to GOCI data. Using a combination of simulated and real data we derive suitable processing parameters and examine the robustness of different satellite products, those being water-leaving radiance and chlorophyll concentration. These estimates of surface currents are evaluated using High Frequency (HF) radar systems located in the Tsushima (Korea) Strait. We show the performance of the MCC approach varies depending on the amount of missing data and the presence of strong optical contrasts. Using simulated data it was found that patchy cloud cover occupying 25% of the image pair reduces the number of vectors by 20% compared to using perfect images. Root mean square errors between the MCC and HF radar velocities are of the order of 20 cm sāˆ’1. Performance varies depending on the wavelength of the data with the blue-green products out-performing the red and near infra-red products. Application of MCC to GOCI chlorophyll data results in similar performance to radiances in the blue-green bands. The technique has been demonstrated using specific examples of an eddy feature and tidal induced features in the region. This article is protected by copyright. All rights reserved

    Hierarchy and Feedback in the Evolution of the E. coli Transcription Network

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    The E.coli transcription network has an essentially feedforward structure, with, however, abundant feedback at the level of self-regulations. Here, we investigate how these properties emerged during evolution. An assessment of the role of gene duplication based on protein domain architecture shows that (i) transcriptional autoregulators have mostly arisen through duplication, while (ii) the expected feedback loops stemming from their initial cross-regulation are strongly selected against. This requires a divergent coevolution of the transcription factor DNA-binding sites and their respective DNA cis-regulatory regions. Moreover, we find that the network tends to grow by expansion of the existing hierarchical layers of computation, rather than by addition of new layers. We also argue that rewiring of regulatory links due to mutation/selection of novel transcription factor/DNA binding interactions appears not to significantly affect the network global hierarchy, and that horizontally transferred genes are mainly added at the bottom, as new target nodes. These findings highlight the important evolutionary roles of both duplication and selective deletion of crosstalks between autoregulators in the emergence of the hierarchical transcription network of E.coli.Comment: to appear in PNA

    The Large Scale Bias of Dark Matter Halos: Numerical Calibration and Model Tests

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    We measure the clustering of dark matter halos in a large set of collisionless cosmological simulations of the flat LCDM cosmology. Halos are identified using the spherical overdensity algorithm, which finds the mass around isolated peaks in the density field such that the mean density is Delta times the background. We calibrate fitting functions for the large scale bias that are adaptable to any value of Delta we examine. We find a ~6% scatter about our best fit bias relation. Our fitting functions couple to the halo mass functions of Tinker et. al. (2008) such that bias of all dark matter is normalized to unity. We demonstrate that the bias of massive, rare halos is higher than that predicted in the modified ellipsoidal collapse model of Sheth, Mo, & Tormen (2001), and approaches the predictions of the spherical collapse model for the rarest halos. Halo bias results based on friends-of-friends halos identified with linking length 0.2 are systematically lower than for halos with the canonical Delta=200 overdensity by ~10%. In contrast to our previous results on the mass function, we find that the universal bias function evolves very weakly with redshift, if at all. We use our numerical results, both for the mass function and the bias relation, to test the peak-background split model for halo bias. We find that the peak-background split achieves a reasonable agreement with the numerical results, but ~20% residuals remain, both at high and low masses.Comment: 11 pages, submitted to ApJ, revised to include referee's coment

    Destruction of Superconductivity by Impurities in the Attractive Hubbard Model

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    We study the effect of U=0 impurities on the superconducting and thermodynamic properties of the attractive Hubbard model on a square lattice. Removal of the interaction on a critical fraction of fcritā‰ˆ0.30f_{\rm crit} \approx 0.30 of the sites results in the destruction of off-diagonal long range order in the ground state. This critical fraction is roughly independent of filling in the range 0.75<Ļ<1.000.75 < \rho < 1.00, although our data suggest that fcritf_{\rm crit} might be somewhat larger below half-filling than at Ļ=1\rho=1. We also find that the two peak structure in the specific heat is present at ff both below and above the value which destroys long range pairing order. It is expected that the high TT peak associated with local pair formation should be robust, but apparently local pairing fluctuations are sufficient to generate a low temperature peak
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