102,041 research outputs found

    Hiding alice in wonderland: A case for the use of signal processing techniques in differential privacy

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    A transformation of data in statistical databases is proposed to hide the presence of an individual. The transformation employs a cascade of spectral whitening and colouring (named recolouring for brevity) that preserves the first- and second-order statistical properties of the true data (i.e. mean and correlation). A measure of practical indistinguishability is introduced for the presence of the individual to be hidden (the Impact Factor), and the transformation is applied to a toy model for the case of correlated data following a Gaussian copula model. It is shown that the Impact Factor is a multiple of what would be achieved with noise addition: the proposed recolouring transformation significantly enlarges the range of attribute values for which the presence of the individual of interest cannot be reliably inferred

    Forced quasi-periodic oscillations in strongly dissipative systems of any finite dimension

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    We consider a class of singular ordinary differential equations describing analytic systems of arbitrary finite dimension, subject to a quasi-periodic forcing term and in the presence of dissipation. We study the existence of response solutions, i.e. quasi-periodic solutions with the same frequency vector as the forcing term, in the case of large dissipation. We assume the system to be conservative in the absence of dissipation, so that the forcing term is - up to the sign - the gradient of a potential energy, and both the mass and damping matrices to be symmetric and positive definite. Further, we assume a non-degeneracy condition on the forcing term, essentially that the time-average of the potential energy has a strict local minimum. On the contrary, no condition is assumed on the forcing frequency; in particular, we do not require any Diophantine condition. We prove that, under the assumptions above, a response solution always exists provided the dissipation is strong enough. This extends results previously available in the literature in the one-dimensional case

    Monoclonal antibodies and oral pills for COVID-19: new possibilities for solid organ transplanted patients?

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    Since January 2020, the SARS-CoV-2 pandemic remains the leading health problem worldwide. In light of the use of DNA and RNA- based vaccines as a weapon to reduce the spread of the virus, an important question is the management of immunosuppressed patients such as those solid organ transplant recipients (SOTRs), who have not been included in the phase I-III clinical trials that considered immunosuppressive or immunodeficient state among main exclusion criteria during study subjects’ enrollment. This is the reason for which there are currently no consolidated scientific data to support the safety and efficacy of nucleic acid-based vaccines in organ transplant patients. Furthermore, this population has a reduced humoral immune response to DNA and RNA vaccines compared to the immunocompetent counterpart, thus remaining at high risk for COVID-19. Another emerging problem is the reduced seroconversion to SARS-CoV-2 in transplant recipients. These patients appear to be less likely than immunocompetent patients to develop neutralizing antibodies postinfection. Therefore, the immune-compromised patients need to maintain strict precautions for COVID-19 even postvaccination, and other therapeutic and preventive tools such as monoclonal antibodies and oral antiviral pills should be considered as an additional strategy against the virus in these patients. © 2022 EDIZIONI MINERVA MEDICA
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