Avaliação de características anatômicas da madeira de Calophyllum brasiliense Cambess. (Clusiaceae), em diferentes condições ambientais, no Estado do Paraná.

Resumo

On the classical capacity of quantum Gaussian channels

The set of quantum Gaussian channels acting on one bosonic mode can be classified according to the action of the group of Gaussian unitaries. We look for bounds on the classical capacity for channels belonging to such a classification. Lower bounds can be efficiently calculated by restricting to Gaussian encodings, for which we provide analytical expressions.Comment: 10 pages, IOP style. v2: minor corrections, close to the published versio

Dinâmica de crescimento de espécies arbóreas em remanescentes florestais do estado do Paraná, sob diferentes condições ambientais.

Organizado por Patricia Póvoa de Mattos, Celso Garcia Auer, Rejane Stumpf Sberze, Katia Regina Pichelli e Paulo César Botosso

Implementation of Non-Reflecting Boundary Conditions in a Finite Volume Unstructured Solver for the Study of Turbine Cascades

The analysis of component interaction in the turbomachinery field is nowadays of growing importance. This leads to the combination of different approaches, such as Large Eddy Simulation for combustors and Unsteady Reynolds-Averaged Navier-Stokes equations for turbines, and is responsible for the increase of both computational effort and required accuracy of the numerical tools. To guarantee accurate results and efficient convergence rates, numerical schemes must handle the spurious reflecting waves coming from the boundaries of truncated domains. This can be achieved by means of Non-Reflecting Boundary Conditions. The research activity described in the present paper is aimed at implementing the method of Non-Reflecting Boundary Conditions for the Linearized Euler Equations proposed by Giles in an in-house finite volume implicit time-marching solver. The methodology is validated using the available experimental data obtained at the von Karman Institute for Fluid Dynamics on the LS89 High-Pressure Turbine vane for both subsonic and transonic working condition. The implemented approach demonstrates its importance for the correct evaluation of the pressure distribution both on the vane surface and in the pitchwise direction when the computational domain is truncated at the experimental probe's position

GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP

Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. The extension of fast simulation approaches to more use cases, covering a larger fraction of the simulation budget, is only part of the solution due to intrinsic precision limitations. The remainder corresponds to speeding-up the simulation software by several factors, which is out of reach using simple optimizations on the current code base. In this context, the GeantV R&D project was launched, aiming to redesign the legacy particle transport codes in order to make them benefit from fine-grained parallelism features such as vectorization, but also from increased code and data locality. This paper presents extensively the results and achievements of this R&D, as well as the conclusions and lessons learnt from the beta prototype.Comment: 34 pages, 26 figures, 24 table

GEANT4 : a simulation toolkit

Abstract Geant4 is a toolkit for simulating the passage of particles through matter. It includes a complete range of functionality including tracking, geometry, physics models and hits. The physics processes offered cover a comprehensive range, including electromagnetic, hadronic and optical processes, a large set of long-lived particles, materials and elements, over a wide energy range starting, in some cases, from 250 eV and extending in others to the TeV energy range. It has been designed and constructed to expose the physics models utilised, to handle complex geometries, and to enable its easy adaptation for optimal use in different sets of applications. The toolkit is the result of a worldwide collaboration of physicists and software engineers. It has been created exploiting software engineering and object-oriented technology and implemented in the C++ programming language. It has been used in applications in particle physics, nuclear physics, accelerator design, space engineering and medical physics. PACS: 07.05.Tp; 13; 2

Non-genetic factors affecting hunting ability in italian maremma scent hound

This study aimed to evaluate the effect of four non-genetic factors (sex, coat colour, competition judges, type of trial) on the five hunting traits (search, approach, tracking of prey, standstill barking and physical skills) used to estimate the aptitude for wild boar hunt in Italian Maremma Scent Hound. A total of 1147 dogs (734 males, 399 females, and 14 not sexed dogs) were evaluated in competitions held in North-Central Italy, from 2010 to 2011. Dogs were tested as individuals, pairs and packs. Coat colour had no effect on the five tested traits. A significant difference (p<0.01) between males and females was observed only for search. Type of trial had a significant effect (p<0.01) on all the five hunting traits. Judges factor was significant (p<0.01) for physical skills and barking remaining firm in place. A significant positive phenotypic correlation was observed among tracking of prey, approach and physical skills (p<0.01). Approach and physical skills were positively correlated with approach (p<0.05) and tracking of prey (p<0.01). Search was negatively correlated with all the other four, whereas standstill barking showed no correlation with any traits. These data are the basis to improve our knowledge about the values of variability in considered hunting traits and they provide genetic criteria to the breeders to achieve more stringent selective choices