Simulation supplements field studies to determine no-till dryland corn population recommendations for semiarid western Nebraska

In a 2-yr multiple-site field study conducted in western Nebraska during 1999 and 2000, optimum dryland corn (Zea mays L.) population varied from less than 1.7 to more than 5.6 plants m(-2), depending largely on available water resources. The objective of this study was to use a modeling approach to investigate corn population recommendations for a wide range of seasonal variation. A corn growth simulation model (APSIM-maize) was coupled to long-term sequences of historical climatic data from western Nebraska to provide probabilistic estimates of dryland yield for a range of corn populations. Simulated populations ranged from 2 to 5 plants m(-2). Simulations began with one of three levels of available soil water at planting, either 80, 160, or 240 mm in the surface 1.5 m of a loam soil. Gross margins were maximized at 3 plants m(-2) when starting available water was 160 or 240 mm, and the expected probability of a financial loss at this population was reduced from about 10% at 160 mm to 0% at 240 mm. When starting available water was 80 mm, average gross margins were less than $15 ha(-1), and risk of financial loss exceeded 40%. Median yields were greatest when starting available soil water was 240 mm. However, perhaps the greater benefit of additional soil water at planting was reduction in the risk of making a financial loss. Dryland corn growers in western Nebraska are advised to use a population of 3 plants m(-2) as a base recommendation.

Methodologies for calibration and predictive analysis of a watershed model

The use of a fitted parameter watershed model to address water quantity and quality management issues requires that it be calibrated under a wide range of hydrologic conditions. However, rarely does model calibration result in a unique parameter set. Parameter nonuniqueness can lead to predictive nonuniqueness. The extent of model predictive uncertainty should be investigated if management decisions are to be based on model projections. Using models built for four neighboring watersheds in the Neuse River Basin of North Carolina, the application of the automated parameter optimization software PEST in conjunction with the Hydrologic Simulation Program Fortran (HSPF) is demonstrated. Parameter nonuniqueness is illustrated, and a method is presented for calculating many different sets of parameters, all of which acceptably calibrate a watershed model. A regularization methodology is discussed in which models for similar watersheds can be calibrated simultaneously. Using this method, parameter differences between watershed models can be minimized while maintaining fit between model outputs and field observations. In recognition of the fact that parameter nonuniqueness and predictive uncertainty are inherent to the modeling process, PEST's nonlinear predictive analysis functionality is then used to explore the extent of model predictive uncertainty.

Portal do software p??blico brasileiro

O Portal do Software P??blico Brasileiro consolida-se como uma iniciativa que conseguiu criar um ambiente comum para compartilhar solu????es de software no setor p??blico, racionalizar a gest??o dos recursos de inform??tica, reaproveitar as solu????es de software existentes para diminuir custos e atividades redundantes, estabelecer parcerias e a????es cooperadas, refor??ar a pol??tica p??blica de estimular o uso de software livre e definir uma forma de licenciamento de software que sustente o compartilhamento de solu????es entre os ??rg??os do setor p??blico de acordo com as prerrogativas legais brasileiras e a Constitui????o Federal. Esta iniciativa trouxe como inova????o o compartilhamento de ???software p??blico???, que oficializou um novo modelo de licenciamento e de gest??o das solu????es desenvolvidas na administra????o p??blica, estabelecendo parceria entre diversos ??rg??os, institui????es, empresas e cidad??os, e hoje conta com mais de 100 mil participantes

Uso do software Estradas para determinação do espaçamento entre desaguadouros em estradas não pavimentadas do interior de Goiás

Estradas não pavimentadas correspondem a aproximadamente 90% da malha rodoviária brasileira. Estas, na maioria das vezes, são construídas sem a realização de estudos prévios, estando sujeitas a vários tipos de problemas. Um dos principais fatores de deterioração dessas vias é a ineficiência do sistema de drenagem. Neste trabalho simulou-se o espaçamento entre desaguadouros em estradas não pavimentadas, utilizando-se um software desenvolvido com base num modelo matemático de dimensionamento de sistemas de drenagem em estradas não pavimentadas. Utilizaram-se valores de erodibilidade, tensão crítica de cisalhamento e massa específica para diferentes solos de estradas, localizadas no Estado de Goiás. Simularam-se cenários considerando alterações na declividade (1, 5, 10 e 15%) e na seção transversal do canal com relações entre altura e largura de 1:1, 1:2, 1:5 e 1:10. O modelo respondeu sensivelmente às alterações na declividade, na seção transversal do canal e nas de resistência do solo. Os espaçamentos obtidos indicaram que, estradas com declividades inferiores a 5%, mesmo com elevados valores de erodibilidade permitiram espaçamentos viáveis em aspectos construtivos. No entanto, para as declividades de 10 e 15%, os espaçamentos, na maioria dos casos, apresentaram dimensões reduzidas, tornando-se impraticáveis, sendo necessário, nestes casos, proteção do canal ou alteração de suas características hidráulicas.

Molecular dynamics computer simulation of scratch resistance testing of polymers: visualization

Experimental scratch resistance testing provides two numbers: the penetration depth Rp and the healing depth Rh. In molecular dynamics computer simulations, we create a material consisting of N statistical chain segments by polymerization; a reinforcing phase can be included. Then we simulate the movement of an indenter and response of the segments during X time steps. Each segment at each time step has three Cartesian coordinates of position and three of momentum. We describe methods of visualization of results based on a record of 6NX coordinates. We obtain a continuous dependence on time t of positions of each of the segments on the path of the indenter. Scratch resistance at a given location can be connected to spatial structures of individual polymeric chains.

Coupling Mechanical and Electrical Behavior in the Multi-scale Simulation of Polymer-based CNT Nanocomposites

A numeric model has been proposed to investigate the mechanical and electrical properties of a polymeric/carbon nanotube (CNT) composite material subjected to a deformation force. The reinforcing phase affects the behavior of the polymeric matrix and depends on the nanofiber aspect ratio and preferential orientation. The simulations show that the mechanical behavior of a computer generated material (CGM) depends on fiber length and initial orientation in the polymeric matrix. It is also shown how the conductivity of the polymer/CNT composite can be calculated for each time step of applied stress, effectively providing the ability to simulate and predict strain-dependent electrical behavior of CNT nanocomposites.

GUIsurfer: A Reverse Engineering Framework for User Interface Software

GUIsurfer: A Reverse Engineering Framework for User Interface Software

The role of coordination analysis in software integration projects

What sort of component coordination strategies emerge in a software integration process? How can such strategies be discovered and further analysed? How close are they to the coordination component of the envisaged architectural model which was supposed to guide the integration process? This paper introduces a framework in which such questions can be discussed and illustrates its use by describing part of a real case-study. The approach is based on a methodology which enables semi-automatic discovery of coordination patterns from source code, combining generalized slicing techniques and graph manipulation

Virtual simulation of the postsurgical cosmetic outcome in patientswith pectus excavatum

Pectus excavatum is the most common congenital deformity of the anterior chest wall, in which several ribs and the sternum grow abnormally. Nowadays, the surgical correction is carried out in children and adults through Nuss technic. This technic has been shown to be safe with major drivers as cosmesis and the prevention of psychological problems and social stress. Nowadays, no application is known to predict the cosmetic outcome of the pectus excavatum surgical correction. Such tool could be used to help the surgeon and the patient in the moment of deciding the need for surgery correction. This work is a first step to predict postsurgical outcome in pectus excavatum surgery correction. Facing this goal, it was firstly determined a point cloud of the skin surface along the thoracic wall using Computed Tomography (before surgical correction) and the Polhemus FastSCAN (after the surgical correction). Then, a surface mesh was reconstructed from the two point clouds using a Radial Basis Function algorithm for further affine registration between the meshes. After registration, one studied the surgical correction influence area (SCIA) of the thoracic wall. This SCIA was used to train, test and validate artificial neural networks in order to predict the surgical outcome of pectus excavatum correction and to determine the degree of convergence of SCIA in different patients. Often, ANN did not converge to a satisfactory solution (each patient had its own deformity characteristics), thus invalidating the creation of a mathematical model capable of estimating, with satisfactory results, the postsurgical outcome

Pectus Excavatum postsurgical outcome based on preoperative soft body dynamics simulation

Pectus excavatum is the most common congenital deformity of the anterior chest wall, in which an abnormal formation of the rib cage gives the chest a caved-in or sunken appearance. Today, the surgical correction of this deformity is carried out in children and adults through Nuss technic, which consists in the placement of a prosthetic bar under the sternum and over the ribs. Although this technique has been shown to be safe and reliable, not all patients have achieved adequate cosmetic outcome. This often leads to psychological problems and social stress, before and after the surgical correction. This paper targets this particular problem by presenting a method to predict the patient surgical outcome based on pre-surgical imagiologic information and chest skin dynamic modulation. The proposed approach uses the patient pre-surgical thoracic CT scan and anatomical-surgical references to perform a 3D segmentation of the left ribs, right ribs, sternum and skin. The technique encompasses three steps: a) approximation of the cartilages, between the ribs and the sternum, trough b-spline interpolation; b) a volumetric mass spring model that connects two layers - inner skin layer based on the outer pleura contour and the outer surface skin; and c) displacement of the sternum according to the prosthetic bar position. A dynamic model of the skin around the chest wall region was generated, capable of simulating the effect of the movement of the prosthetic bar along the sternum. The results were compared and validated with patient postsurgical skin surface acquired with Polhemus FastSCAN system

Criminal Liability of Organizations, Corporations, Legal Persons, and Similar Entities on Law of Portuguese Cybercrime: A Brief Discussion on the Issue of Crimes of “False Information,” the “Damage on Other Programs or Computer Data,” the “Computer-Software Sabotage,” the “Illegitimate Access,” the “Unlawful Interception,” and “Illegitimate Reproduction of the Protected Program”

Abstract: in Portugal, and in much of the legal systems of Europe, «legal persons» are likely to be criminally responsibilities also for cybercrimes. Like for example the following crimes: «false information»; «damage on other programs or computer data»; «computer-software sabotage»; «illegitimate access»; «unlawful interception» and «illegitimate reproduction of protected program». However, in Portugal, have many exceptions. Exceptions to the «question of criminal liability» of «legal persons». Some «legal persons» can not be blamed for cybercrime. The legislature did not leave! These «legal persons» are v.g. the following («public entities»): legal persons under public law, which include the public business entities; entities utilities, regardless of ownership; or other legal persons exercising public powers. In other words, and again as an example, a Portuguese public university or a private concessionaire of a public service in Portugal, can not commit (in Portugal) any one of cybercrime pointed. Fair? Unfair. All laws should provide that all legal persons can commit cybercrimes. PS: resumo do artigo em inglês.

Predicting the mechanical behavior of amorphous polymeric materials under strain through multi-scale simulation

Polymeric materials have become the reference material for high reliability and performance applications. However, their performance in service conditions is difficult to predict, due in large part to their inherent complex morphology, which leads to non-linear and anisotropic behavior, highly dependent on the thermomechanical environment under which it is processed. In this work, a multiscale approach is proposed to investigate the mechanical properties of polymeric-based material under strain. To achieve a better understanding of phenomena occurring at the smaller scales, the coupling of a finite element method (FEM) and molecular dynamics (MD) modeling, in an iterative procedure, was employed, enabling the prediction of the macroscopic constitutive response. As the mechanical response can be related to the local microstructure, which in turn depends on the nano-scale structure, this multiscale approach computes the stress-strain relationship at every analysis point of the macro-structure by detailed modeling of the underlying micro- and meso-scale deformation phenomena. The proposed multiscale approach can enable prediction of properties at the macroscale while taking into consideration phenomena that occur at the mesoscale, thus offering an increased potential accuracy compared to traditional methods.

Dinâmica da acumulação de capacidades inovadoras: evidências de empresas de software no Rio de janeiro e em São Paulo

São escassos estudos sobre a dinâmica da acumulação de capacidades inovadoras. Este artigo examina o tema em oito empresas de software em São Paulo e Rio de Janeiro, encontrando: diferenças inter e intraempresariais em termos da direção e taxa de acumulação de capacidade para funções tecnológicas específicas; acúmulo de capacidade tecnológica mais rápido em empresas mais jovens; e decréscimo das taxas de acumulação tecnológica à medida que as empresas se aproximam de níveis mais inovadores de capacidades, demonstrando a potencialidade para aceleração do processo. Tais evidências são relevantes para o entendimento da acumulação tecnológica e fornecem uma noção do tempo necessário para se obterem benefícios de esforços de aprendizagem e construção de capacidade inovadora.

Atratividade de projetos de software livre: importância teórica e estratégias para administração

Milhares de Projetos de Software Livre (PSL) foram e continuam sendo criados na Internet. Esse cenário aumenta as oportunidades de colaboração tanto quanto acirra a concorrência por usuários e contribuidores, que elevariam esses projetos a níveis superiores aos que seriam alcançados por seus fundadores sozinhos. E dado que o aprimoramento por meio de colaboração é o principal objetivo dos fundadores de PSL, a importância de entender e administrar a capacidade de atrair usuários e contribuidores fica estabelecida. Para auxiliar pesquisadores e fundadores nesse desafio, o conceito de atratividade é introduzido neste artigo, que desenvolve um ferramental teórico-gerencial sobre as causas, indicadores e consequências da atratividade, viabilizando sua administração estratégica.