854 research outputs found

    Analysis of attractor distances in Random Boolean Networks

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    We study the properties of the distance between attractors in Random Boolean Networks, a prominent model of genetic regulatory networks. We define three distance measures, upon which attractor distance matrices are constructed and their main statistic parameters are computed. The experimental analysis shows that ordered networks have a very clustered set of attractors, while chaotic networks' attractors are scattered; critical networks show, instead, a pattern with characteristics of both ordered and chaotic networks.Comment: 9 pages, 6 figures. Presented at WIRN 2010 - Italian workshop on neural networks, May 2010. To appear in a volume published by IOS Pres

    Evolution, complexity and artificial life

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    Evolution and complexity characterize both biological and artificial life – by direct modeling of biological processes and the creation of populations of interacting entities from which complex behaviors can emerge and evolve. This edited book includes invited chapters from leading scientists in the fields of artificial life, complex systems, and evolutionary computing. The contributions identify both fundamental theoretical issues and state-of-the-art real-world applications. The book is intended for researchers and graduate students in the related domains

    The impact of COVID-19 on shoulder and elbow trauma in a skeletally immature population: an Italian survey

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    Background: The aim of this study was to evaluate the impact of COVID-19 on the shoulder and elbow trauma in a skeletally immature population in 30 days starting from March 8, 2020, the first day of restrictions in Italy, and to compare it with the same period of2019.Materials and methods: All the skeletally immature (younger than 18 years) patients managed in the emergency unit of our hospital between March 8, 2020, and April 8, 2020 (COVID-19 [C19] period), for a shoulder and elbow trauma were retrospectively included and compared with patients with similar ages admitted in the same period of 2019 (no COVID-19 period). Six categories of diagnosis were distinguished: (1) contusions, (2) no physeal fractures, (3) physeal fractures (Salter-Harris), (4) sprains/subluxations, (5) dislocations, and (6) others (tendinitis, wounds, low back pain, and joint inflammation). According to the mechanism of injury, we arbitrarily distinguished 5 subgroups: (1) accidental fall; (2) sport trauma; (3) accident at school; (4) high-energy trauma occurred by car, public transport, and pedestrian investment; and (5) fall from height.Results: During the C19 period, the number of total accesses in our trauma center steeply decreased: two-thirds less. Regardless of the patient age, we performed 65% less first aid shoulder/elbow services. The number of skeletally immature patients treated at our trauma center for all types of injuries was 350 during the no COVID-19 period and 54 during the C19 period; therefore, the influx of pediatric patients during the C19 period decreased by 84.6%. Furthermore, during the C19 period, (1) there were no cases of fractures, physeal fractures, and dislocations of the shoulder; (2) there were no cases of contusion, physeal fractures, and dislocations of the elbow; and (3) we observed the absence of high-energy, sports, and school injuries; and (4) during the pandemic, shoulder and elbow injuries mainly occurred as a result of accidental fall at home.Conclusions: The pandemic forced us to become aware of the ways and places where skeletally immature subjects report shoulder and elbow traumas; therefore, it would be desirable that more considerable attention be directed toward the prevention of injury in areas at risk

    EMoDir Research Group Report 2018

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    EMoDir Research Group Report 201

    EMoDir Research Group Report 2019-2021

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    EMoDiR (Early Modern Religious Dissents and Radicalism) Research Group Report 2019-202

    EMoDir Research Group Report 2007-2017

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    EMoDir Research Group Report 2007-201

    The effect of four mutations on the expression of iduronate-2-sulfatase in mucopolysaccharidosis type II

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    AbstractMucopolysaccharidosis type II (Hunter syndrome; OMIM 309900) is a rare X-linked recessive lysosomal storage disorder caused by the deficiency of the enzyme iduronate-2-sulfatase (IDS; EC 3.1.6.13). Different alterations at the IDS locus, mostly missense mutations, have been demonstrated, by expression study, as deleterious, causing significant consequences on the enzyme function or stability. In the present study we report on the results of the transient expression of the novel K347T, 533delTT, N265I and the already described 473delTCC (previously named ΔS117) mutations in the COS 7 cells proving their functional consequence on IDS activity. This type of information is potentially useful for genotype–phenotype correlation, prognosis and possible therapeutic intervention

    Modelling soil water conent in a tomato field: proximal gamma ray spectroscopy and soil-crop system models

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    Proximal soil sensors are taking hold in the understanding of soil hydrogeological processes involved in precision agriculture. In this context, permanently installed gamma ray spectroscopy stations represent one of the best space-time trade off methods at field scale. This study proved the feasibility and reliability of soil water content monitoring through a seven-month continuous acquisition of terrestrial gamma radiation in a tomato test field. By employing a 1 L sodium iodide detector placed at a height of 2.25 m, we investigated the gamma signal coming from an area having a ~25 m radius and from a depth of approximately 30 cm. Experimental values, inferred after a calibration measurement and corrected for the presence of biomass, were corroborated with gravimetric data acquired under different soil moisture conditions, giving an average absolute discrepancy of about 2%. A quantitative comparison was carried out with data simulated by AquaCrop, CRITeRIA, and IRRINET soil-crop system models. The different goodness of fit obtained in bare soil condition and during the vegetated period highlighted that CRITeRIA showed the best agreement with the experimental data over the entire data-taking period while, in presence of the tomato crop, IRRINET provided the best results.Comment: 18 pages, 9 Figures, 3 Table
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