1,354,964 research outputs found

    Paolo Febbraro (Roma, 1965)

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    Paolo Febbraro se dedica a la docencia  en centros de enseñanza superior. Lo mejor de su actividad poética está representada en la obra en verso y prosa Il Diario di Kaspar Hauser (2003; versión española de Bruno Mesa El Diario de Kaspar Hauser, 2015; versión inglesa de Anthony Molino The Diary of Kaspar Hauser, 2016) y en los volúmenes Il bene materiale (2008) y Fuori per l?inverno (2014). Sus versos han sido traducidos al español, inglés, francés y árabe. Como crítico ha publicado libros sobre Aldo Palazzeschi, Umberto Saba y Primo Levi. Su obra ensayística más relevante es L?idiota. Una storia letteraria (2011), en la que individualiza la figura del extraño en diversas obras maestras de la tradición occidental, de los griegos al siglo XX, pasando por Lucrecio, Maquiavelo, Shakespeare, Cervantes, Diderot, Stendhal, Melville y Dostoyevski. En 2015 se publicó el volumen Leggere Seamus Heaney, en el que se reúnen versos y fragmentos en prosa del autor irlandés. I grandi fatti, aparecido en 2016, recoge cuentos y breves textos en prosa escritos a lo largo de veinte años. Recientemente ha publicado Poesia d?oggi. Un?antologia italiana, obra que culmina, y tal vez agota, su larga actividad de crítico militante

    From Smart Apes to Human Brain Boxes. A Uniquely Derived Brain Shape in Late Hominins Clade

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    Modern humans have larger and more globular brains when compared to other primates. Such anatomical features are further reflected in the possession of a moderately asymmetrical brain with the two hemispheres apparently rotated counterclockwise and slid anteroposteriorly on one another, in what is traditionally described as the Yakovlevian torque. Developmental disturbance in human brain asymmetry, or lack thereof, has been linked to several cognitive disorders including schizophrenia and depression. More importantly, the presence of the Yakovlevian torque is often advocated as the exterior manifestation of our unparalleled cognitive abilities. Consequently, studies of brain size and asymmetry in our own lineage indirectly address the question of what, and when, made us humans, trying to trace the emergence of brain asymmetry and expansion of cortical areas back in our Homo antecedents. Here, we tackle this same issue by studying the evolution of human brain size, shape, and asymmetry on a phylogenetic tree including 19 apes and Homo species, inclusive of our fellow ancestors. We found that a significant positive shift in the rate of brain shape evolution pertains to the clade including modern humans, Neanderthals, and Homo heidelbergensis. Although the Yakovlevian torque is well evident in these species and levels of brain asymmetry are correlated to changes in brain shape, further early Homo species possess the torque. Even though a strong allometric component is present in hominoid brain shape variability, this component seems unrelated to asymmetry and to the rate shift we recorded. These results suggest that changes in brain size and asymmetry were not the sole factors behind the fast evolution of brain shape in the most recent Homo species. The emergence of handedness and early manifestations of cultural modernity in the archeological record nicely coincide with the same three species sharing the largest and most rapidly evolving brains among all hominoids. © Copyright © 2020 Melchionna, Profico, Castiglione, Sansalone, Serio, Mondanaro, Di Febbraro, Rook, Pandolfi, Di Vincenzo, Manzi and Raia

    Transportation systems with autonomous vehicles: Modeling issues and research perspectives

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    We are on the verge of a new revolution for road transportation: automated, automatic, and/or connected vehicles will soon be seen moving people and freight in urban areas and on motorways as well, likely supporting the spread of both shared and electric vehicles among travelers. But to turn all the existing stock of traditional human-driven vehicles, most often privately owned, will presumably take several years. Meanwhile both technologies will co-exist and share the same facilities. The evaluation of the impacts on network performance and user behavior requires enhancements of the tools of the traffic and transportation theory already available to modelers and planners. This paper proposes a general overview of existing methods for traffic analysis and control and for transportation systems analysis and design to test whether they can still be applied as such, or with straightforward enhancements, or new tools are needed

    A Methodological Framework for Determination of Public Transport Accessibility Index

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    Rapid urbanization along with the population growth increases the pressure on existing transportation systems which boosts the needs for the provision of a well-connected and efficient Public Transport Systems (PTSs) to meet the mobility needs of the people. In this framework, it is important for the PTSs of a region to perform at certain quality levels including availability (both spatial and temporal), accessibility, affordability, environmental protection etc. Among all these features, the most important is the accessibility to stops since access to/from the public transport is provided only through them. This paper is focused on the development of a novel methodology to evaluate the accessibility of public transport at different levels of measurements of a region/city using Public Transport Accessibility Index (PTAI). It is developed based on the accessibility of public transport stops to the population, service centers and connectivity to nearby regions. The proposed approach is effective in terms of highlighting the least accessible areas towards the improvement of existing public transport connections or planning of new services. An application of proposed methodology has been presented using a mathematical example

    Modelling Freeway Systems: a New Traffic Fundamental Diagram

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    The problem of modelling nonhomogeneous traffic flow is dealt with in this paper. The proposed model is based on a classical macroscopic model, but presents the novelty of being able to describe the behaviour of different classes of vehicles. In particular, the attention is focused on the definition of a new traffic fundamental diagram, in order to correctly account for the interferences among the classes of vehicles. Such aspects related to the specification of the resulting multiclass model as the identification of its parameters and its validation are treated in some detail

    Open Problems in Transportation Engineering with Connected and Autonomous Vehicles

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    AbstractIn recent decades, technologies that can lead to fully automated driving have had a rapid development. In this framework, ‘road transport automation’ can potentially result in significant changes to the operation of road systems throughout the world. It is impossible to foresee how long it will take to realize such potential changes, because there are many uncertainties about both the technologies to deploy, and the policy environment where they should be deployed. ‘Full automation’ is the future of road transport, but the transition from manual to fully autonomous vehicles is especially dependent on the interactions between humans and automation, but also between automated vehicles and manual vehicles, and between automated vehicles and infrastructure.In the above context, this paper, after introducing some open problems related to automated vehicles, focuses on a particular one, consisting of the simplified evaluation of the equilibrium points achievable by a mixed flow with different percentages of automated vehicles. The aim of the considered problem is to provide a first general estimation of the performance of an existing network in various scenarios, characterized by different percentages of autonomous vehicles and mobility demand. More in detail, a simplified kinematic supply model is introduced to assess the link flow/cost performances, aiming at estimating the potential congestion reduction. An application to a real word network is described, and the relevant results are reported and discussed

    A hybrid Petri net model for performance analysis of electric transit systems with fast battery charging

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    In the last decades, researchers, policy makers and, in general, the whole society, have devoted a growing attention to the environmental impact of traffic on air quality. In this framework, the electrification of Transit Systems (TS) can play a key factor in improving cities sustainability since it combines the good characteristics of collective transport systems (few vehicles for many users) and zero (local) emission electric powertrains. In this paper, an integrated Hybrid Petri Net (HPN) model able to represent both the traffic dynamics of buses traveling along a route, the effects of road congestion, and the dynamics of the battery levels in different scenarios is proposed with the end of providing a tool for the performances analysis of different implementations of electric TS. Some results concerning a realistic case study are discussed with the aim of showing the capabilities of the proposed model
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