1,720,999 research outputs found

    TURISMO E SVILUPPO

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    Nonostante la continua crescita del turismo mondiale, in Italia il comparto sta attraversando una fase di difficoltà. Il Paese perde capacità competitive e la sua posizione internazionale è attaccata da vecchie e nuove mete internazionali. Con l’esplosione di internet in tutto il mondo la filiera turistica si contrae, i nuovi visitatori sono sempre più motivati, attenti alla qualità e al prezzo ma in tutta Italia la struttura dell’offerta fatica ad adeguarsi alle caratteristiche della nuova domanda. L’assenza di una struttura di coordinamento nazionale, la frammentazione delle iniziative per la comunicazione, la scarsità di efficaci strutture di ricerca e di informazione contribuiscono a mettere in luce, fra l’altro, come il settore manchi di standing internazionale. L’Italia possiede enormi risorse competitive allo stato potenziale, che andrebbero sviluppate e inserite in una moderna politica su ciascuna tipologia di turismo

    Fetal cardiac time intervals: validation of an automatic tool for beat-to-beat detection on fetal magnetocardiograms

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    Fetal magnetocardiography (fMCG) allows the non-invasive registration of fetal cardiac activity. This technique, combined with the use of independent component analysis (ICA) for signal processing, allows reconstructing of reliable fetal cardiac traces. Low noise fetal signals can be used to evaluate fetal cardiac time intervals (fCTI), useful to monitor fetal heart function. In this work we present a method for the automatic detection of cardiac waves (ACWD); it was validated on 45 fMCG data sets of normal fetuses with gestational age from 22 to 37 weeks. The outcomes of the automatic procedure were compared with those of a manual procedure performed by three independent operators on rhythm strips of 100 consecutive cardiac cycles for each data set. Distances between the wave boundaries detected with the two methods were statistically estimated using confidence intervals: differences were always comparable to those that could be obtained from different investigators’ estimates. Statistical correlation between fCTI quantified with ACWD and with a manual procedure was assessed using the parametric two-tailed Pearson’s correlation test, significance level at a = 0.01. The automatic procedure showed a computation time decrease in the ratio of approximately 1:600 with respect to the manual procedure performed on the same number of beats

    Independent component analysis and fetal magnetocardiography: a tool for the automatic classification of independent components

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    Fetal Magnetocardiography (fMCG) allows the non-invasive recording of the weak magnetic field variations associated with the electrical activity of the fetal heart. We used Independent Component Analysis (ICA) for the separation of maternal and fetal signals from fMCG recordings. The identification of fetal components is essential to reconstruct fetal signals. In this work we present a tool for the automatic classification of independent components (ACCT). Its performances were assessed using 66 fMCG data sets of normal fetuses ranging between 22 and 37 weeks. ACCT, whose outcomes were compared with those manually obtained by an expert investigator, showed to be an effective tool. Moreover, ACCT implementation permitted the reconstruction of stable and reliable fetal traces in a completely automatic manner. The SNR of the obtained fetal signals was high, showing that this was a further step forward the use of fMCG in hospital settings

    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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