2,226 research outputs found

    It’s all about the surface! Vibrational spectroscopy applied to the study of biomimetic surfaces in Tissue Engineering

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    Tissue Engineering is a multidisciplinary field aimed at the creation of biological substitutes that restore and maintain the biological function of a damaged tissue. The key of the success of these biomedical devices lies into surface interactions with living tissues, therefore a common strategy is to create biomimetic surfaces that helps cells to colonize the biomaterial, leading to tissue healing. Vibrational spectroscopy, in particular Raman, apart from being mainly surface and non-destructive technique, is extremely sensitive to changes in structure and molecular interactions, thus its use in investigating biomimetic devices is increasing. In particular, we have recently used vibrational spectroscopies to investigate different biomimetic materials and to test some of their proprieties: - self-assembling peptides adsorbed on titanium surfaces for bone implants [1], analyzed before and after attack from free radicals (obtained by gamma-radiolysis and mimicking inflammation processes) [2], with the aim to evaluate their capability in resisting to oxidative stress; - composite (ceramic-polymer, polymer-polymer) bioresorbable biomaterials [3, 4]; - hydroxyapatite nanomaterials functionalized with proteins to increase biocompatibility [5-7]. [1] M. Di Foggia, P. Taddei, A. Torreggiani, M. Dettin, A. Tinti, J. Raman Spectrosc. 42 (2011) 276-285. [2] M. Di Foggia, A. Torreggiani, P. Taddei, M. Dettin, A. Tinti, J. Raman Spectrosc. 44 (2013) 1446-1450. [3] V. Guarino, F. Causa, P. Taddei, M. Di Foggia, G. Ciapetti, D. Martini, C. Fagnano, N. Baldini, L. Ambrosio, Biomaterials 29 (2008) 3662-3670. [4] V. Guarino, P. Taddei, M. Di Foggia, C. Fagnano, G. Ciapetti, L. Ambrosio, Tissue Eng. A 15 (2009) 3655-3668. [5] M. Iafisco, B. Palazzo, G. Falini, M. Di Foggia, S. Bonora, S. Nicolis, L. Casella, N. Roveri, Langmuir 24 (2008) 4924-4930. [6] M. Iafisco, M. Di Foggia, S. Bonora, M. Prat, N. Roveri, Dalton Trans. 40 (2011) 820-827. [7] M. Iafisco, E. Varoni, M. Di Foggia, S. Pietronave, M. Fini, N. Roveri, L. Rimondini, M. Prat, Colloids Surf.s B 90 (2012) 1-7

    Lonchophylla dekeyseri Taddei 1983

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    Lonchophylla dekeyseri Taddei et al., 1983. Ciencia e Cultura, 35:626. TYPE LOCALITY: Brazil, D. F., 8 km N Brasilia. DISTRIBUTION: E Brazil.Published as part of Karl F. Koopman, 1993, Order Chiroptera, pp. 137-241 in Mammal Species of the World (2 nd Edition), Washington and London :Smithsonian Institution Press on page 181, DOI: 10.5281/zenodo.735306

    Global exponential stability of the periodic solution of a delayed neural network with discontinuous activations

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    We study the stability of a delayed Hopfield neural network with periodic coefficients and inputs and an arbitrary and constant delay. We consider non-decreasing activation functions which may also have jump discontinuities in order to model the ideal situation where the gain of the neuron amplifiers is very high and tends to infinity. In particular, we drop the assumption of Lipschitz continuity on the activation functions, which is usually required in most of the papers. Under suitable assumptions on the interconnection matrices, we prove that the delayed neural network has a unique periodic solution which is globally exponentially stable independently of the size of the delay. The assumptions we exploit concern the theory of M-matrices and are easy to check. Due to the possible discontinuities of the activation functions, the convergence of the output of the neural network is also studied by a suitable notion of limit. The existence, uniqueness and continuability of the solution of suitable initial value problems are proved
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