86 research outputs found

    Wnt signalling and cancer stem cells

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    [Abstract] Intracellular signalling mediated by secreted Wnt proteins is essential for the establishment of cell fates and proper tissue patterning during embryo development and for the regulation of tissue homeostasis and stem cell function in adult tissues. Aberrant activation of Wnt signalling pathways has been directly linked to the genesis of different tumours. Here, the components and molecular mechanisms implicated in the transduction of Wnt signal, along with important results supporting a central role for this signalling pathway in stem cell function regulation and carcinogenesis will be briefly reviewed.Ministerio de Ciencia e Innovación; SAF2008-0060

    Highly-parallelized simulation of a pixelated LArTPC on a GPU

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    The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

    Development and application of an indoor air quality audit to an air-conditioned building in Singapore

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    10.1016/S0360-1323(99)00064-5Building and Environment362181-188BUEN

    On the fuzzy cognitive map attractor distance

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    Fuzzy Cognitive Map (FCM) has commonly been used as a prediction tool. The FCM forward chains have been used to And answers to what-if questions. The process starts with the encoding of the what-if question into a stimulus vector. The vector goes through a series of vector-matrix multiplication until the FCM converges to one of the FCM attractors. The attractor is the answer to the initial question. There are several types of FCM attractors. The usefulness of the different types of attractors relies heavily on the user's objectives and interpretations. This paper presents the theoretical discussion on distance measurement among the various FCM attractor distances. Subsequently the FCM Attractor Distance (FCMAD) based on genetic algorithm is proposed. The use of this distance in FCM goal oriented analysis and FCM learning is discussed. Experiment results have confirmed the effectiveness of the proposed technique

    Extending the decision accuracy of a bioinformatics system

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    We introduce a simple fuzzy technique to improve the prediction decision accuracy of a bioinformatics neural network system from the literature for protein structure prediction. We also describe an unsound assumption made by the authors of the neural network system, and propose a fuzzy hybrid solution, which eliminates the need for this assumption and can further enhance performance

    Inflammatory lymphangiogenesis: Cellular mediators and functional implications

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    10.1007/s10456-014-9419-4Angiogenesis172373-381AGIO
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