1,721,138 research outputs found

    Cocozza S, Sacco PL, Tramontano D. Well-being and resilience at the Air Force Academy of Pozzuoli. Ital J Aerosp Med 2020; 1:41-50 Per la rivista: ISSN 2279-8994, LCCN 2013243264, NLM 101604374. Codice ANCE E202556.

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    Abstract Military personnel are systematically exposed to a variety of stressors throughout their career. Well-being and resilience are two important features for maintaining normal human functioning, in particular when facing traumatic and stressful life events, thus the study of psychological well-being and resilience in the military context is attracting great interest. In many countries, along with personality variables, psychological well-being has been among the individual differentiating factors considered in the selection and screening of military personnel. In addition, to enhance emotional well-being and to build resilience of service members is the goal of specifically designed programs of military organizations. Within this context, the sector of Military Academies, where military personnel receive their core training, is an interesting field to study such concepts. We have explored the implications of military training in terms of well-being and resilience at the Italian Air Force Academy (AFA) of Pozzuoli –Naples. Our results indicate that both cadets and staff at the AFA of Pozzuoli display high levels of both well-being and resilience compared to a matched civilian population. Of particular interest is the observation in the AFA population lacks of gender gap, in favor of male, either in well-being or in resilience

    Artificial intelligence for epigenetics: Towards personalized medicine

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    Epigenetics is a field of biological sciences focused on the study of reversible, heritable changes in gene function, not due to modifications of the genomic sequence. These changes are the result of a complex cross-talk between several molecular mechanisms that is in turn orchestrated by genetic and environmental factors. The epigenetic profile captures the unique regulatory landscape and the exposure to environmental stimuli of an individual. It thus constitutes a valuable reservoir of information for personalized medicine, which is aimed at customizing health-care interventions based on the unique characteristics of each individual. Nowadays, the complex milieu of epigenomic marks can be studied at the genome-wide level thanks to massive, high-throughput technologies. This new experimental approach is opening up new and interesting knowledge perspectives. However, the analysis of these complex omic data requires to face important analytic issues. Artificial Intelligence, and in particular Machine Learning, are emerging as powerful resources to decipher epigenomic data. In this review, we will first describe the most used ML approaches in epigenomics. We then will recapitulate some of the recent applications of ML to epigenomic analysis. Finally, we will provide some examples of how the ML approach to epigenetic data can be useful for personalized medicine

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Neuroimaging in Fabry disease: current knowledge and future directions

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    Abstract: Fabry disease (FD) is a rare X-linked disorder characterised by abnormal progressive lysosomal deposition of globotriaosylceramide in a large variety of cell types. The central nervous system (CNS) is often involved in FD, with a wide spectrum of manifestations ranging from mild symptoms to more severe courses related to acute cerebrovascular events. In this review we present the current knowledge on brain imaging for this condition, with a comprehensive and critical description of its most common neuroradiological imaging findings. Moreover, we report results from studies that investigated brain physiopathology underlying this disorder by using advanced imaging techniques, suggesting possible future directions to further explore CNS involvement in FD patients. Teaching Points: • Conventional neuroradiological findings in FD are aspecific. • White matter hyperintensities represent the more consistent brain imaging feature of FD • Abnormalities of the vasculature wall of posterior circulation are also consistent features. • The pulvinar sign is not reliable as a finding pathognomonic for FD. • Advanced imaging techniques have increased our knowledge about brain involvement in FD
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