4,023 research outputs found

    Adaptation to Hypoxia: A Chimera?

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    "The Chimera was, according to Greek mythology, a monstrous fire-breathing hybrid creature of Lycia in Asia Minor, composed of the parts of more than one animal [...]

    Late Winter Dietary Overlap among Greater Rheas and Domestic Herbivores on the Argentinean Flooding Pampa

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    This study evaluates the dietary overlap among greater rheas (Rhea americana L.) sheep and cattle in the Flooding Pampa, Buenos Aires, Argentina during late winter, when is observed the lowest forage availability. The work was carried out with the following forage classes (FC): warm and cool season grasses and forbs (legumes and no-legumes). Diet botanical composition was estimated by microanalysis of faeces. Principal Component Analysis and Kulcyznsky´s index of similarity were used for data analysis. Rhea populations selected diets with higher forb percentages. On the contrary, vegetation structure and their own morpho-physiology conditioned cattle to diets almost exclusively gramineous. Although forbs were more consumed by sheep than by cattle, they do not represent a major portion of sheep diets. In the Flooding Pampa grasslands, the probability of competition for forage between greater rheas and sheep is intermediate, and that between rheas and cattle is low

    Gravitational effects on a rigid Casimir cavity

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    Vacuum fluctuations produce a force acting on a rigid Casimir cavity in a weak gravitational field. Such a force is here evaluated and is found to have opposite direction with respect to the gravitational acceleration; the order of magnitude for a multi-layer cavity configuration is analyzed and experimental detection is discussed, bearing in mind the current technological resources.Comment: 7 pages, Latex. Talk given at the Fifth Leipzig Workshop on Quantum Field Theory under the Influence of External Conditions, September 200

    Shallow heterogeneities and seismic activity of Mt. Vesuvius

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    Speech recognition through physical reservoir computing with neuromorphic nanowire networks

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    The hardware implementation of the reservoir computing paradigm represents a key aspect for taking into advantage of neuromorphic data processing. In this context, self-organised nanonetworks represent a versatile and scalable computational substrate for multiple tasks by exploiting the emerging collective behaviour of the system arising from complexity. The emerging behaviour allows spatio-temporal processing of multiple input signals and relies on the nonlinear interaction in between a multitude of nanoscale memristive elements. By means of a physics-based grid-graph modeling, we report on the implementation of reservoir computing for a speech recognition task in a memristive nanonetwork based on nanowires (NWs) acting as a physical reservoir. Besides analysing the pre-processing step for the transduction of the audio samples in electrical stimuli to be applied to the physical reservoir, we analyse the effect of the network size and the adoption of virtual nodes on computing performances. Results show that memristive nanonetworks allow in materia implementation of reservoir computing for the realisation of brain-inspired neuromorphic systems with reduced training cost
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