Proposta metodológica para o cálculo de espaçamento entre sulcos de mulching vertical

O mulching vertical é uma prática mecânica para contenção do escoamento superficial que, apesar de mostrar-se promissora, ainda se encontra em fase de validação. Assim, este estudo teve como objetivo propor e testar uma metodologia para o cálculo do espaçamento entre sulcos de mulching vertical, quanto à eficiência na redução das perdas de água, solo e nutrientes por escoamento superficial, em condições de campo. A pesquisa foi desenvolvida entre outubro de 2009 e março de 2010, durante o ciclo da cultura do milho (Zea mays), em uma área de semeadura direta consolidada. Utilizou-se o delineamento em blocos casualizados, com quatro repetições e seis tratamentos constituídos de sulcos de mulching vertical, construídos perpendicularmente ao declive, distribuídos em diferentes distâncias. Nas amostras de escoamento, foram analisados os seguintes atributos: volume de água perdido, massa de solo no sedimento e nutrientes no sedimento e na água de escoamento superficial. Não foram constatadas diferenças significativas para o efeito de tratamentos nas perdas de solo. De forma geral, os tratamentos com 0 e 5,4 m entre sulcos foram os mais eficientes em conter as perdas de água e de nutrientes (na água e no sedimento). Pela metodologia proposta e nas condições avaliadas, o mulching vertical não se mostrou eficiente em conter as perdas de água, solo e nutrientes por escoamento superficial.

Network dynamics in scientific knowledge acquisition: an analysis in three public universities in the state of Bahia

This paper aims to cast some light on the dynamics of knowledge networks in developing countries by analyzing the scientific production of the largest university in the Northeast of Brazil and its influence on some of the remaining regional research institutions in the state of Bahia. Using a methodology test to be employed in a larger project, the Universidade Federal da Bahia (UFBA) (Federal University of Bahia), the Universidade do Estado da Bahia (Uneb) (State of Bahia University) and the Universidade Estadual de Santa Cruz (Uesc)'s (Santa Cruz State University) scientific productions are discussed in one of their most traditionally expressive sectors in academic production - namely, the field of chemistry, using social network analysis of co-authorship networks to investigate the existence of small world phenomena and the importance of these phenomena in research performance in these three universities. The results already obtained through this research bring to light data of considerable interest concerning the scientific production in unconsolidated research universities. It shows the important participation of the UFBA network in the composition of the other two public universities research networks, indicating a possible occurrence of small world phenomena in the UFBA and Uesc networks, as well as the importance of individual researchers in consolidating research networks in peripheral universities. The article also hints that the methodology employed appears to be adequate insofar as scientific production may be used as a proxy for scientific knowledge.

A System Dynamics-Based Simulation Experiment for Testing Mental Model and Performance Effects of Using the Balanced Scorecard

This study develops a theoretical model that explains the effectiveness of the balanced scorecard approach by means of a system dynamics and feedback learning perspective. Presumably, the balanced scorecard leads to a better understanding of context, allowing managers to externalize and improve their mental models. We present a set of hypotheses about the influence of the balanced scorecard approach on mental models and performance. A test based on a simulation experiment that uses a system dynamics model is performed. The experiment included three types of parameters: financial indicators; balanced scorecard indicators; and balanced scorecard indicators with the aid of a strategy map review. Two out of the three hypotheses were confirmed. It was concluded that a strategy map review positively influences mental model similarity, and mental model similarity positively influences performance.

A system dynamics-based simulation

This study develops a theoretical model that explains the effectiveness of the balanced scorecard approach by means of a system dynamics and feedback learning perspective. Presumably, the balanced scorecard leads to a better understanding of context, allowing managers to externalize and improve their mental models. We present a set of hypotheses about the influence of the balanced scorecard approach on mental models and performance. A test based on a simulation experiment that uses a system dynamics model is performed. The experiment included three types of parameters: financial indicators; balanced scorecard indicators; and balanced scorecard indicators with the aid of a strategy map review. Two out of the three hypotheses were confirmed. It was concluded that a strategy map review positively influences mental model similarity, and mental model similarity positively influences performance.

Strategy Lab Experiences: Bathtub Dynamics

As the world changes ever faster, managers increasingly recognize the complexity and turbulence of the business systems in which they are embedded. The management problems are dynamic, while the dynamic complexity comes frequently from few variables with circle and delays interrelations that introduce nonlinearities.The present paper describes a research conducted in Portugal with two different groups - one, academic; the other, professional - where we explored the subjects’ understanding of some basic systems thinking concepts such as stock-flow relationship, feedback processes and time delays.

Statistical classification of road pavements using near field vehicle rolling noise measurements

Low noise surfaces have been increasingly considered as a viable and cost-effective alternative to acoustical barriers. However, road planners and administrators frequently lack information on the correlation between the type of road surface and the resulting noise emission profile. To address this problem, a method to identify and classify different types of road pavements was developed, whereby near field road noise is analyzed using statistical learning methods. The vehicle rolling sound signal near the tires and close to the road surface was acquired by two microphones in a special arrangement which implements the Close-Proximity method. A set of features, characterizing the properties of the road pavement, was extracted from the corresponding sound profiles. A feature selection method was used to automatically select those that are most relevant in predicting the type of pavement, while reducing the computational cost. A set of different types of road pavement segments were tested and the performance of the classifier was evaluated. Results of pavement classification performed during a road journey are presented on a map, together with geographical data. This procedure leads to a considerable improvement in the quality of road pavement noise data, thereby increasing the accuracy of road traffic noise prediction models.

Sistemas de automação e manutenção de edifícios: eficiência energética dos sistemas de elevação vertical para transporte de pessoas

O presente trabalho incide sobre a análise da eficiência energética dos elevadores. Para se poder entender esta questão, são apresentadas diversas informações que permitem conhecer os factores associados aos consumos de energia activa, procurando-se perceber qual o rendimento destes equipamentos. Inicialmente são analisados os diversos componentes, que fazem parte de um elevador e os locais em que esses componentes são instalados. Abordam-se as diferentes soluções de accionamento, os diversos tipos de utilização e as diferentes tecnologias que podem ser aplicadas. O estudo dos consumos de energia eléctrica dos elevadores, foi efectuado com base na metodologia desenvolvida pelo grupo E4, do programa Utilização Eficiente da Energia, da Comunidade Europeia, cujo suporte foi o DRAFT ISSO/DIS 25745 - 1 Energy Performance of Lifts and Escalators - Part 1: Energy Measurement and Conformance. Os consumos de energia eléctrica serão caracterizados com os elevadores a serem monitorizados individualmente e sem carga na cabina. A apresentação de resultados obtidos terá em linha de conta: a energia eléctrica consumida com o equipamento em modo de funcionamento, ou seja, com este a realizar ciclos completos, e a potência eléctrica consumida com a instalação em modo de standby, ou seja em não operação. No presente trabalho, são divulgados estudos do grupo E4, em que foram monitorizados elevadores em quatro países da Europa: Portugal, Alemanha, Itália e Polónia. Estes estudos permitem estimar os consumos anuais de energia eléctrica, a nível de funcionamento e a nível de standby e estimar o consumo total, seguindo como base a metodologia anteriormente referida. Para se caracterizar o parque Europeu de elevadores, o grupo E4 recorreu à ELA, Associação Europeia de Elevadores, tendo assim sido possível estimar o consumo anual numa Europa a 27, acrescido do parque da Suíça e da Noruega. Pretende-se com isso poder estimar o potencial de redução no consumo energético no parque analisado, com a aplicação das Melhores Tecnologias Disponíveis (MTD) e com a aplicação de tecnologias que ainda estão em fase de desenvolvimento. (MTND). Paralelamente o autor irá apresentar as monitorizações que efectuou a três elevadores, para os quais procurou validar as leituras efectuadas, comparando os consumos obtidos, com os consumos registados pelas monitorizações do grupo E4 e respectivas estimativas de consumos anuais de energia. As monitorizações do autor, serão utilizadas na catalogação desses três equipamentos a nível de classes de eficiência energética, tendo por base a VDI 4707/Part 1 - Lifts - Energy Efficiency - VDI manual Building Services - Volume 5: Transportation Systems. Procura-se, também, criar um método de apoio na tomada de decisão nas diversas fases de um ciclo do elevador, nomeadamente: desde a especificação, a selecção do sistema de accionamento, a selecção dos sistemas auxiliares, a instalação e a operação do elevador, com vista à melhoria da eficiência energética, e á instalação futura ou à modernização dos equipamentos existentes. Abordam-se as barreiras existentes que inibem a mudança no sector de elevação, para a implementação das MTD no parque de elevadores existente ou no desenvolvimento de novas tecnologias que possibilitem a melhoria da eficiência energética, MTND. Por ultimo, aborda-se de forma simples a temática da supervisão técnica nos elevadores, através da monitorização e supervisão dos diversos componentes, com vista à optimização da gestão da manutenção e procurando interligar esta gestão à melhoria da eficiência energética. Consegue-se concluir que apenas com a aplicação das MTD, podem ser obtidos ganhos de eficiência energética, e também que este tema não tem tido a importância que merece, pois, na análise da eficiência energética de um edifício, a eficiência dos elevadores não é tida em consideração. A ausência de legislação específica, que torne a análise da eficiência energética dos elevadores obrigatória, será um dos problemas referidos. Reforça-se que, a potencialidade de poupança energética na Europa não deve ser desprezada.

Esforços hidrodinâmicos em comportas verticais (Downpull)

O downpull é uma força gerada pelo efeito do escoamento em comportas planas com estanquidade a jusante e pode condicionar, de forma determinante, o dimensionamento do órgão de manobra e a preponderância de fecho de uma comporta vertical em condições de emergência. Neste trabalho é desenvolvido um modelo de cálculo analítico para a obtenção do downpull e um modelo de simulação numérica com Computational Fluid Dynamics (CFD). O modelo analítico desenvolvido foi exposto numa folha de cálculo e permite a obtenção de resultados em poucos minutos, factor essencial sob o ponto de vista económico. O modelo em CFD tem como principal objectivo a validação do modelo analítico. Sendo um modelo mais complexo e dispendioso em termos de tempo despendido, apenas poderá ser utilizado em situações pontuais que exijam um maior rigor nos resultados obtidos.

New insights into host-parasite ubiquitin proteome dynamics in P. falciparum infected red blood cells using a TUBEs-MS approach

Malaria, caused by Plasmodium falciparum (P. falciparum), ranks as one of the most baleful infectious diseases worldwide. New antimalarial treatments are needed to face existing or emerging drug resistant strains. Protein degradation appears to play a significant role during the asexual intraerythrocytic developmental cycle (IDC) of P. falciparum. Inhibition of the ubiquitin proteasome system (UPS), a major intracellular proteolytic pathway, effectively reduces infection and parasite replication. P. falciparum and erythrocyte UPS coexist during IDC but the nature of their relationship is largely unknown. We used an approach based on Tandem Ubiquitin-Binding Entities (TUBEs) and 1D gel electrophoresis followed by mass spectrometry to identify major components of the TUBEs-associated ubiquitin proteome of both host and parasite during ring, trophozoite and schizont stages. Ring-exported protein (REX1), a P. falciparum protein located in Maurer's clefts and important for parasite nutrient import, was found to reach a maximum level of ubiquitylation in trophozoites stage. The Homo sapiens (H. sapiens) TUBEs associated ubiquitin proteome decreased during the infection, whereas the equivalent P. falciparum TUBEs-associated ubiquitin proteome counterpart increased. Major cellular processes such as DNA repair, replication, stress response, vesicular transport and catabolic events appear to be regulated by ubiquitylation along the IDC P. falciparum infection.

Chaos and crises in a model for cooperative hunting: A symbolic dynamics approach

In this work we investigate the population dynamics of cooperative hunting extending the McCann and Yodzis model for a three-species food chain system with a predator, a prey, and a resource species. The new model considers that a given fraction sigma of predators cooperates in prey's hunting, while the rest of the population 1-sigma hunts without cooperation. We use the theory of symbolic dynamics to study the topological entropy and the parameter space ordering of the kneading sequences associated with one-dimensional maps that reproduce significant aspects of the dynamics of the species under several degrees of cooperative hunting. Our model also allows us to investigate the so-called deterministic extinction via chaotic crisis and transient chaos in the framework of cooperative hunting. The symbolic sequences allow us to identify a critical boundary in the parameter spaces (K, C-0) and (K, sigma) which separates two scenarios: (i) all-species coexistence and (ii) predator's extinction via chaotic crisis. We show that the crisis value of the carrying capacity K-c decreases at increasing sigma, indicating that predator's populations with high degree of cooperative hunting are more sensitive to the chaotic crises. We also show that the control method of Dhamala and Lai [Phys. Rev. E 59, 1646 (1999)] can sustain the chaotic behavior after the crisis for systems with cooperative hunting. We finally analyze and quantify the inner structure of the target regions obtained with this control method for wider parameter values beyond the crisis, showing a power law dependence of the extinction transients on such critical parameters.

Pricing intraday dynamics across EUAS and CERS markets

The relative contribution of European Union Allowances (EUAs) and Certified Emission Reductions (CERs) to the price discovery of their common true value has been empirically studied using daily data with inconclusive results. In this paper, we study the short-run and long-run price dynamics between EUAs and CERs future contracts using intraday data. We report a bidirectional feedback causality relationship both in the short-run and in the long-run, with the EUA's market being the leader.

Cytomegalovirus seroepidemiology in an urban community of São Paulo, Brazil

INTRODUCTION: After the era of rubella vaccine, cytomegalovirus (CMV) infection is one of the most frequently causes of mental retardation and congenital deafness. Seroepidemiological studies are necessary to understand the transmission dynamics of the disease. The purpose of the study was to quantify the transmission rate of CMV disease in a community in the state of São Paulo, Brazil. METHODS: Using ELISA test (IgG), a retrospective serological survey looking for CMV antibodies was performed in an non-immunized community. Frozen sera from 443 individuals, randomly selected by cluster sampling technique in the town of Caieiras, São Paulo, were collected from November 1990 to January 1991. Seroprevalence was stratified by age (0-40 years). Mathematical techniques were applied to determine the age-dependent decay function of maternal antibodies during the first year of life, the age-dependent seroprevalence function and the force of infection for CMV in this community. RESULTS: It was observed a descending phase of seropositivity in the first 9 months, but changes in antibody titration were observed between 8 months old and one year of age. The average age of the first infection was 5.02 months of age and 19.84 years, when the age-dependent seroprevalence and the force of infection were analyzed between 10 months of age and 10 years of age and from 10 to 40 years old, respectively. CONCLUSION: CMV infection is highly prevalent among the population studied and infection occurs in the first year of life. This study shows that most women at reproductive age are vulnerable to the first infection, increasing the risk for congenital infection.

Geostatistical Mapping of Outfall Plume Dispersion Data gathered with an autonomous underwater vehicle

The main purpose of this study was to examine the applicability of geostatistical modeling to obtain valuable information for assessing the environmental impact of sewage outfall discharges. The data set used was obtained in a monitoring campaign to S. Jacinto outfall, located off the Portuguese west coast near Aveiro region, using an AUV. The Matheron’s classical estimator was used the compute the experimental semivariogram which was fitted to three theoretical models: spherical, exponential and gaussian. The cross-validation procedure suggested the best semivariogram model and ordinary kriging was used to obtain the predictions of salinity at unknown locations. The generated map shows clearly the plume dispersion in the studied area, indicating that the effluent does not reach the near by beaches. Our study suggests that an optimal design for the AUV sampling trajectory from a geostatistical prediction point of view, can help to compute more precise predictions and hence to quantify more accurately dilution. Moreover, since accurate measurements of plume’s dilution are rare, these studies might be very helpful in the future for validation of dispersion models.

Entropy analysis of DNA code dynamics in human chromosomes

Deoxyribonucleic acid, or DNA, is the most fundamental aspect of life but present day scientific knowledge has merely scratched the surface of the problem posed by its decoding. While experimental methods provide insightful clues, the adoption of analysis tools supported by the formalism of mathematics will lead to a systematic and solid build-up of knowledge. This paper studies human DNA from the perspective of system dynamics. By associating entropy and the Fourier transform, several global properties of the code are revealed. The fractional order characteristics emerge as a natural consequence of the information content. These properties constitute a small piece of scientific knowledge that will support further efforts towards the final aim of establishing a comprehensive theory of the phenomena involved in life.

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.