117,605 research outputs found
La chiesa e il monastero di Santa Chiara a Conversano
No full textIl volume, che è uno studio monografico sul complesso clariano di Conversano, rientra nel progetto Monografie degli edifici religiosi di Conversano, varato dal Centro Ricerche di Storia ed Arte. In esso vengono ricostruite le plurisecolari vicende storiche del monastero, dalla fondazione nel XVI secolo alla sua soppressione nel XIX secolo (C. Lavarra); le vicende storico-artistiche del cenobio e della chiesa (C. De Toma); e le vicende architettoniche del complesso chiesastico (L. Petrosino). Il volume è inoltre corredato di schede storico-artistiche di tutti gli elementi di arredo (altari, dipinti e statue) e si chiude con i due contributi a firma di G. Boraccesi e A. Filipponio che esaminano rispettivamente gli argenti clariani e l'organo monacale.
L’opera, che risponde appieno alle finalità statutarie del Centro Ricerche di Storia ed Arte, volte alla conoscenza, alla tutela e alla valorizzazione dei beni culturali, coniugate con la ricerca e l’innovazione, aggiunge un tassello prezioso non solo all’identità culturale cittadina, ma, in una visione ben più ampia, alla ricerca storico-artistica internazionale
Analisi Multivariata delle Variabili di Giudizio: Individuazione di Tipologie di Studenti-Utenti
No full textVivere con la fibromialgia
No full textLa fibromialgia è una patologia caratterizzata da dolore cronico a carico dei muscoli, dei tendini, dei legamenti e dei tessuti periarticolari, associata spesso a disturbi del sonno e della concentrazione, affaticabilità, disturbi d’ansia e depressivi.
Alla sua origine contribuiscono sia fattori biologici che psicologici e un approccio terapeutico integrato, che coinvolga diverse figure professionali (psichiatra, psicologo, reumatologo), risulta essere il più indicato per chi ne soffre.
Questo libro offre le informazioni scientifiche più aggiornate riguardo alle caratteristiche, alle cause e alle possibilità di cura della fibromialgia, e accompagna il lettore passo per passo in un percorso di auto-aiuto psicologico che lo aiuterà ad affrontare più efficacemente il dolore, migliorando sensibilmente la propria qualità di vita
“La soddisfazione sessuale come dimensione positiva”, IX Congresso Nazionale della Società Italiana di Psicologia della Salute (SIPSA), Bergamo, 23-25 Settembre 2010.
No full textPsychological distress among healthcare professionals involved in the COVID-19 emergency: Vulnerability and resilience factors
No full textThe aim of this paper is to outline some considerations about the psychological distress in healthcare professional during the Covid-19 pandemic. We summarize available literature both on ‘protective’ and ‘predisposing’ factors potentially involved in the occurrence of psychological distress, including PTSD, in frontline healthcare operators. Valid social support, self-efficacy, internal locus of control (LOC) and sense of coherence (SOC) have been considered as resilience factors, in previous studies. Likewise, several observations pointed on the relevance of individual and environmental vulnerabilities. No real evidence is available about strategies to face the emotional burden for healthcare operators due to present COVID-19 scenario. However, we strongly believe that the containment of isolation anxiety with an appropriate emotional support should be the first instrument to minimise the psychological effect of pandemic on the more exposed healthcare professionals
Consistent validation of gray-level thresholding image segmentation algorithms based on machine learning classifiers
No full textWe propose a Machine Learning approach for Image Validation (MaLIV) to rank the performances of two or more outputs obtained from different gray-level thresholding image segmentation algorithms. MaLIV utilizes machine learning classifiers to rank automatically the outputs of different segmentation algorithms accounting for both the computational complexity of the validation experiment and for the robustness of its results. The proposed method resorts to subsampling to find Fisher consistent estimates of validity measures obtained from a sample of pixels of extremely-reduced size. To this purpose, subsampling is combined with three alternative approaches: learning curves, asymptotic regression and convergence in probability. Results of experiments involving the validation of five images segmented through thirteen different algorithms are presented
Health care fraud classifiers in practice
No full textStatistical and machine learning methods have become paramount in order to handle large size claims data as part of health care fraud detection frameworks.
Among these, predictive methods such as regression and classification algorithms are widely used with labeled data. However, the imbalanced nature of health care claims data and skewness of fraud distributions result with challenges in practical applications. This paper presents the use of various classification algorithms and data pre-processing methods on claim payment populations and overpayment scenarios with different characteristics. It can help the health care practitioners evaluate the advantages and disadvantages of these analytical methods, and choose the right classification method and apply them properly for their specific circumstances. We utilize publicly available U.S. Medicare Part B health care claims payment data from the hospitals with a number of fraud label scenarios to demonstrate potential fraud patterns. We discuss the computational demand and accuracy of the methods
Network‐based semisupervised clustering
No full textSemisupervised clustering extends standard clustering methods to the semisupervised setting, in some cases consideringsituations when clusters are associated with a given outcome variable that acts as a “noisy surrogate,” that is a good proxy of the unknown clustering structure. In this article, a novel approach to semisupervised clustering associated with an outcome variable named network-based semisupervised clustering (NeSSC) is introduced. It combines an initialization, a training and an agglomeration phase. In the initialization and training a matrix of pairwise affinity of the instances is estimated by a classifier. In the agglomeration phase the matrix of pairwise affinity is transformed into a complex network, in which a community detection algorithm searches the underlying community structure. Thus, a partition of the instances into clusters highly homogeneous in terms of the outcome is obtained. We consider a particular specification of NeSSC that uses classification or regression trees as classifiers and the Louvain, Label propagation and Walktrap as possible community detection algorithm. NeSSC’s stopping criterion and the choice of the optimal partition of the original data are also discussed. Several applications on both real and simulated data are presented to demonstrate the effectiveness of the proposed semisupervised clustering method and the benefits it provides in terms of improved interpretability of results with respect to three alternative semisupervised clustering methods
University student achievements and international mobility. The case of University of Cagliari
No full textInformation content, interactivity and online popularity of the websites of world heritage sites: evidence from France, Italy and Spain
No full textFollowing previous research on museum and tourism websites, this study focuses on the websites created by UNESCO sites located in France, Italy, and Spain to evaluate their information content and how it can influence their online popularity. Empirical evidence suggests the following: a) heritage sites basically create websites to provide general and touristic information; b) the use of interactive elements and on-sale platforms is limited; c) relevant touristic information, engaging contents, and interactive elements are necessary to reach online popularity, and d) access is usually obtained without passing through a search engine tool. Heritage sites are considered an important element attracting tourists to visit a destination; hence, there is an urgent need for managerial implications on the most effective communication strategy that must be used
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