50,828 research outputs found

    Cytometric analysis, genetic manipulation and antibiotic selection of the snail embryonic cell line Bge from Biomphalaria glabrata, the intermediate host of Schistosoma mansoni.

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    The invertebrate cell line, Bge, from embryos of the snail Biomphalaria glabrata, remains to date the only established cell line from any species of the Phylum Mollusca. Since its establishment in 1976 by Eder Hansen, few studies have focused on profiling its cytometrics, growth characteristics or sensitivity to xenobiotics. Bge cells are reputed to be challenging to propagate and maintain. Therefore, even though this cell line is a noteworthy resource, it has not been studied widely. With growing interest in functional genomics, including genetic transformation, to elucidate molecular aspects of the snail intermediate hosts responsible for transmission of schistosomiasis, and aiming to enhance the convenience of maintenance of this molluscan cell line, we deployed the xCELLigene real time approach to study Bge cells. Doubling times for three isolates of Bge, termed CB, SL and UK, were longer than for mammalian cell lines - longer than 40 h in complete Bge medium supplemented with 7% fetal bovine serum at 25 °C, ranging from ∼42 h to ∼157 h when 40,000 cells were seeded. To assess the potential of the cells for genetic transformation, antibiotic selection was explored. Bge cells were sensitive to the aminonucleoside antibiotic puromycin (from Streptomyces alboniger) from 5 μg/ml to 200 ng/ml, displaying a half maximal inhibitory concentration (IC50) of ∼1.91 μg/ml. Sensitivity to puromycin, and a relatively quick kill time (<48 h in 5 μg/ml) facilitated use of this antibiotic, together with the cognate resistance gene (puromycin N-acetyl-transferase) for selection of Bge cells transformed with the PAC gene (puroR). Bge cells transfected with a plasmid encoding puroR were partially rescued when cultured in the presence of 5 μg/ml of puromycin. These findings pave the way for the development of functional genomic tools applied to the host-parasite interaction during schistosomiasis and neglected tropical trematodiases at large

    Automorphisms of Cartan modular curves of prime and composite level

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    We study the automorphisms of modular curves associated to Cartan subgroups of GL2(Z/nZ)\mathrm{GL}_2(\mathbb Z/n\mathbb Z) and certain subgroups of their normalizers. We prove that if nn is large enough, all the automorphisms are induced by the ramified covering of the complex upper half-plane. We get new results for non-split curves of prime level p13p\ge 13: the curve Xns+(p)X_{\text{ns}}^+(p) has no non-trivial automorphisms, whereas the curve Xns(p)X_{\text{ns}}(p) has exactly one non-trivial automorphism. Moreover, as an immediate consequence of our results we compute the automorphism group of X0(n):=X0(n)/WX_0^*(n):=X_0(n)/W, where WW is the group generated by the Atkin-Lehner involutions of X0(n)X_0(n) and nn is a large enough square.Comment: 31 pages, 2 tables. Some proofs rely on MAGMA scripts available at https://github.com/guidoshore/automorphisms_of_Cartan_modular_curve

    Institutional stakeholder participation in urban redevelopment in Tehran: An evaluation of decisions and actions

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    Experimentation with citizen participation in urban redevelopments is increasing worldwide. This paper aims to scrutinise this trend through an in-depth case study of the decisions and actions taken by the institutional stakeholders involved in participatory urban redevelopment in Tehran, Iran. The discussion is based around two contrasting urban redevelopment areas which set out to adopt a participatory approach involving various stakeholders including institutions (the Municipality of Tehran and the Heritage Organisation) and local owner-occupiers, developing new knowledge, understanding, and clarity about the concept and application of participation in urban redevelopments in developing countries. In both areas, the institutions invited owners to participate in the physical and economic improvements of their places through land assemblage or sharing redevelopment costs. In this study a range of qualitative methods are used including photo-elicitation techniques (PEI) and semi-structured interviews with locals, officials and professionals. The results show the vulnerability of the process. This was revealed when one institution did not maintain their role and when some owner-occupiers acted as free-riders. This highlights the challenge of building an enduring collaboration between institutional stakeholders from the planning to in-use stages, in particular the difficulties that arise as different institutions become involved in the process. This issue is more problematic when resources are limited and/or intermittent. As the results show, the institutional collaboration was smoother when fewer stakeholders were involved in decision making. In the commercial case, there were more complaints about overdue completion in the projects due to poor institutional collaboration. We recommend the need for an agreed mechanism prior to such initiatives where the role of the various stakeholders and their responsibilities are clearly cited, and where all different impact scenarios from the planning to in-use stage are set out

    Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems

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    Due to the increasing usage of machine learning (ML) techniques in security- and safety-critical domains, such as autonomous systems and medical diagnosis, ensuring correct behavior of ML systems, especially for different corner cases, is of growing importance. In this paper, we propose a generic framework for evaluating security and robustness of ML systems using different real-world safety properties. We further design, implement and evaluate VeriVis, a scalable methodology that can verify a diverse set of safety properties for state-of-the-art computer vision systems with only blackbox access. VeriVis leverage different input space reduction techniques for efficient verification of different safety properties. VeriVis is able to find thousands of safety violations in fifteen state-of-the-art computer vision systems including ten Deep Neural Networks (DNNs) such as Inception-v3 and Nvidia's Dave self-driving system with thousands of neurons as well as five commercial third-party vision APIs including Google vision and Clarifai for twelve different safety properties. Furthermore, VeriVis can successfully verify local safety properties, on average, for around 31.7% of the test images. VeriVis finds up to 64.8x more violations than existing gradient-based methods that, unlike VeriVis, cannot ensure non-existence of any violations. Finally, we show that retraining using the safety violations detected by VeriVis can reduce the average number of violations up to 60.2%.Comment: 16 pages, 11 tables, 11 figure

    Electroactive cytochromeP450BM3 cast polyion films on graphite electrodes

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    Films of electrochemically active cytochrome P450BM3 were constructed on graphite electrodes using alternate assembly with polyethyleneimin(PEI). The original layer-by-layer adsorption method was slightly modified here to form so-called “cast polyion” films. The cast polyion films were elaborated by immobilizing two successive layers of PEI and protein in very large excess with respect to a monolayer, without any intermediate washing step. Following the immobilization steps by SEM showed that uniform films of a few micrometers were deposited on the graphite surface. The electrochemically activity of the immobilized cytP450 was tested with regard to the reduction of oxygen and the one-electron reduction of the heme. Cyclic voltammetry indicated surface concentration of electrochemically active cytP450 around 0.6 nmol/cm2, which corresponded to 5% of the total amount of protein that was consumed by the immobilisation process. Adapting the procedure to a graphite felt electrode with the view of scaling up porous electrodes for large scale synthesis increased the concentration to 0.9 nmol/cm2. Cast polyion films may represent a simple technique to immobilize high amount of electrochemically active protein, keeping the advantage of the electrostatic interactions of the regular layer-by-layer method

    Adaptive minimum symbol error rate beamforming assisted receiver for quadrature amplitude modulation systems

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    An adaptive beamforming assisted receiver is proposed for multiple antenna aided multiuser systems that employ bandwidth efficient quadrature amplitude modulation (QAM). A novel minimum symbol error rate (MSER) design is proposed for the beamforming assisted receiver, where the system’s symbol error rate is directly optimized. Hence the MSER approach provides a significant symbol error ratio performance enhancement over the classic minimum mean square error design. A sample-by-sample adaptive algorithm, referred to as the least symbol error rate (LBER) technique, is derived for allowing the adaptive implementation of the system to arrive from its initial beamforming weight solution to MSER beamforming solution
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