1,721,396 research outputs found

    Fiscal policies and the pandemic. The response of Italy to the Covid-19 crisis

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    This paper investigates qualitatively and quantitatively the fiscal policies adopted in Italy in response to the COVID-19 crisis. We assess the rationale of the policies in light of the characterizing features of the business and household sectors and of the state of public budgets. We then evaluate the impact of the policies through a calibrated model of the Italian economy featuring a comprehensive specification of taxes, transfers, and subsidies. The quantitative analysis suggests that the policies reduced the gross domestic product (GDP) impact of the COVID-19 shock by 25 percent at the peak of the crisis. Alternative fiscal stimulus plans tilted toward a larger reduction of corporate taxes, and stronger increases in public expenditures could have achieved a sharper attenuation of the GDP drop but would have been less desirable from a distributive perspective or for the dynamics of public finances

    Favorire la resilienza nei genitori di bambini con disabilità

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    The research examines the resilience of families with disabled children, giving a review of the major variables concerning family coping skills and their development. The study focuses on a parent training program run with parents of children suffering from Down Syndrome, Autism and Spastic Tetraparesis. A method able to determine the effects of thoughts on the parents' emotional state, using the "Idea Inventory" and the "Mood Thermometer" as instruments of assessment, has been developed and is here presented. Data showed that the parent training intervention produces relevant changes in dysfunctional thoughts of parents and an overall improvement in their mood

    Fertilità, tra natura e cultura

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    Riflessione filosofica sulla fertilità con particolare attenzione alla radicalizzazione della frattura tra natura e cultura, particolarmente marcata nell'epoca modern

    Bounded rationality and heterogeneous expectations. Euler versus anticipated-utility approach

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    By using Bayesian techniques, our paper investigates behavioral New-Keynesian DSGE models derived under two parsimonious alternatives to introduce heterogeneous expectations: the Euler equation and the anticipated-utility approach. First, we explore the relation between the expectation formation processes and the model determinacy for a broad range of parameterizations by using global sensitivity analysis and Monte Carlo filtering. Second, we perform model comparison to assess how much the two alternatives are consistent with macro and expectation survey data. Our main results are twofold: (1) model determinacy is strongly undermined by the presence of boundedly rational agents; (2) a behavioral model based on Euler equation approach fits the data decisively better than one based on anticipated utility

    Molecular Dynamics with Orientational Tensorial Constraints: A New Approach to Probe the Torsional Angle Distributions of Small Rotationally Flexible Molecules

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    The potential of residual dipolar couplings (RDCs) in conformational studies of small molecules is now widely recognized, but current theoretical approaches for their interpretation have several limitations and there is still the need for a general method to probe the torsional angle distributions applicable to any rotationally flexible molecule. Molecular dynamics simulations with RDC-based orientational tensorial constraints (MDOC), implemented in the software COSMOS, are presented here as a conceptually new strategy. For the cases of the fluorinated anti-inflammatory drug diflunisal and the disaccharide cellobiose, we demonstrate that MDOC simulations with one-bond RDCs as tensorial constraints unveil torsion distributions and allow the determination of relative configuration in the presence of rotational flexibility. The independence of the initial structure or any a priori assumption as well as the possibility to combine different experimental constraints represent features, which make the COSMOS software a promising tool for the investigation of torsional angle distributions of flexible molecules, regardless of their size and degree of freedom

    Drug encapsulation and chiral recognition in deep eutectic solvents/β-cyclodextrin mixtures

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    Hybrid materials resulting from the combination of Deep Eutectic Systems (DES) with well-known encapsulating agents like β-cyclodextrin (βCD) can open up new possibilities in the design of novel drug delivery systems or chiral-recognizing platforms. Here, 1:1 inclusion complexes of βCD and the tricyclic drugs amitriptyline (AMT) and cyclobenzaprine (CBZ) are studied in DES choline chloride:urea (reline) using a combination of NMR experiments. 1H complexation-induced chemical shift and intermolecular host-guest NOEs in the rotating frame (ROESY) confirm genuine drug encapsulation, and diffusion and relaxation measurements are used to study the dynamics of the guest-host inclusion complexes at the molecular level. Given the inherent chirality of AMT and CBZ, 13C NMR spectra unambiguously indicate the formation of diastereomeric inclusion complexes, demonstrating for the first time the retained enantiorecognition ability of βCD in DES. The proposed supramolecular systems combine then effectively the properties of DES and CDs

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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