A mechanical analogous model for the power system with Automatic Voltage Regulator

This paper deals with the subject-matter of teaching immaterial issues like power system dynamics where the phenomena and events are not sense-perceptible. The dynamics of the power system are recognized as analogous to the dynamics of a simple mechanical pendulum taken into account the well-known classical model for the synchronous machine. It is shown that even for more sophisticated models including flux decay and Automatic Voltage Regulator the mechanical device can be taken as an analogous, since provided some considerations about variation and control of the pendulum length using certain control laws. The resulting mathematical model represents a mechanical system that can be built for use in laboratory teaching of power system dynamics. © 2010 Praise Worthy Prize S.r.l. - All rights reserved.

Chemometric analysis of Hymenoptera toxins and defensins: A model for predicting the biological activity of novel peptides from venoms and hemolymph

When searching for prospective novel peptides, it is difficult to determine the biological activity of a peptide based only on its sequence. The trial and error approach is generally laborious, expensive and time consuming due to the large number of different experimental setups required to cover a reasonable number of biological assays. To simulate a virtual model for Hymenoptera insects, 166 peptides were selected from the venoms and hemolymphs of wasps, bees and ants and applied to a mathematical model of multivariate analysis, with nine different chemometric components: GRAVY, aliphaticity index, number of disulfide bonds, total residues, net charge, pI value, Boman index, percentage of alpha helix, and flexibility prediction. Principal component analysis (PCA) with non-linear iterative projections by alternating least-squares (NIPALS) algorithm was performed, without including any information about the biological activity of the peptides. This analysis permitted the grouping of peptides in a way that strongly correlated to the biological function of the peptides. Six different groupings were observed, which seemed to correspond to the following groups: chemotactic peptides, mastoparans, tachykinins, kinins, antibiotic peptides, and a group of long peptides with one or two disulfide bonds and with biological activities that are not yet clearly defined. The partial overlap between the mastoparans group and the chemotactic peptides, tachykinins, kinins and antibiotic peptides in the PCA score plot may be used to explain the frequent reports in the literature about the multifunctionality of some of these peptides. The mathematical model used in the present investigation can be used to predict the biological activities of novel peptides in this system, and it may also be easily applied to other biological systems. © 2011 Elsevier Inc.

Development of a simplified transmission line model directly in the phase domain

A transmission line digital model is developed direct in the phase and time domains. The successive modal transformations considered in the three-phase representation are simplified and then the proposed model can be easily applied to several operation condition based only on the previous knowing of the line parameters, without a thorough theoretical knowledge of modal analysis. The proposed model is also developed based on lumped elements, providing a complete current and voltage profile at any point of the transmission system. This model makes possible the modeling of non-linear power devices and electromagnetic phenomena along the transmission line using simple electric circuit components, representing a great advantage when compared to several models based on distributed parameters and inverse transforms. In addition, an efficient integration method is proposed to solve the system of differential equations resulted from the line modeling by lumped elements, thereby making possible simulations of transient and steady state using a wide and constant integration step. © 2012 IEEE.

An integrated macro-model for the Caribbean subregion

Includes bibliography

Improving methods in gap ecology: Revisiting size and shape distributions using a model selection approach

Questions: We assess gap size and shape distributions, two important descriptors of the forest disturbance regime, by asking: which statistical model best describes gap size distribution; can simple geometric forms adequately describe gap shape; does gap size or shape vary with forest type, gap age or the method used for gap delimitation; and how similar are the studied forests and other tropical and temperate forests? Location: Southeastern Atlantic Forest, Brazil. Methods: Analysing over 150 gaps in two distinct forest types (seasonal and rain forests), a model selection framework was used to select appropriate probability distributions and functions to describe gap size and gap shape. The first was described using univariate probability distributions, whereas the latter was assessed based on the gap area-perimeter relationship. Comparisons of gap size and shape between sites, as well as size and age classes were then made based on the likelihood of models having different assumptions for the values of their parameters. Results: The log-normal distribution was the best descriptor of gap size distribution, independently of the forest type or gap delimitation method. Because gaps became more irregular as they increased in size, all geometric forms (triangle, rectangle and ellipse) were poor descriptors of gap shape. Only when small and large gaps (> 100 or 400m2 depending on the delimitation method) were treated separately did the rectangle and isosceles triangle become accurate predictors of gap shape. Ellipsoidal shapes were poor descriptors. At both sites, gaps were at least 50% longer than they were wide, a finding with important implications for gap microclimate (e.g. light entrance regime) and, consequently, for gap regeneration. Conclusions: In addition to more appropriate descriptions of gap size and shape, the model selection framework used here efficiently provided a means by which to compare the patterns of two different types of forest. With this framework we were able to recommend the log-normal parameters μ and σ for future comparisons of gap size distribution, and to propose possible mechanisms related to random rates of gap expansion and closure. We also showed that gap shape varied highly and that no single geometric form was able to predict the shape of all gaps, the ellipse in particular should no longer be used as a standard gap shape. © 2012 International Association for Vegetation Science.

Development of a modelling framework in support of an assessment of the economic and social impacts of climate change in the Caribbean: the ECLAC – CIAM Model

The Caribbean region remains highly vulnerable to the impacts of climate change. In order to assess the social and economic consequences of climate change for the region, the Economic Commission for Latin America and the Caribbean( ECLAC) has developed a model for this purpose. The model is referred to as the Climate Impact Assessment Model (ECLAC-CIAM) and is a tool that can simultaneously assess multiple sectoral climate impacts specific to the Caribbean as a whole and for individual countries. To achieve this goal, an Integrated Assessment Model (IAM) with a Computable General Equilibrium Core was developed comprising of three modules to be executed sequentially. The first of these modules defines the type and magnitude of economic shocks on the basis of a climate change scenario, the second module is a global Computable General Equilibrium model with a special regional and industrial classification and the third module processes the output of the CGE model to get more disaggregated results. The model has the potential to produce several economic estimates but the current default results include percentage change in real national income for individual Caribbean states which provides a simple measure of welfare impacts. With some modifications, the model can also be used to consider the effects of single sectoral shocks such as (Land, Labour, Capital and Tourism) on the percentage change in real national income. Ultimately, the model is envisioned as an evolving tool for assessing the impact of climate change in the Caribbean and as a guide to policy responses with respect to adaptation strategies.

Análise da resolução do modelo de Hughes em sondagens magnetotelúricas

Na maioria dos métodos de exploração geofísica, a interpretação é feita assumindo-se um modelo da Terra uniformemente estratificado. Todos os métodos de inversão, inclusive o de dados eletromagnéticos, exigem técnica de modelamento teórico de modo a auxiliar a interpretação. Na literatura os dados são geralmente interpretados em termos de uma estrutura condutiva unidimensional; comumente a Terra é assumida ser horizontalmente uniforme de modo que a condutividade é função somente da profundidade. Neste trabalho uma técnica semi-analítica de modelagem desenvolvida por Hughes (1973) foi usada para modelar a resposta magnética de duas camadas na qual a interface separando as camadas pode ser representada por uma expansão em série de Fourier. A técnica envolve um método de perturbação para encontrar o efeito de um contorno senoidal com pequenas ondulações. Como a perturbação é de primeira ordem a solução obtida é linear, podemos então usar o princípio da superposição e combinar soluções para várias senoides de forma a obter a solução para qualquer dupla camada expandida em série de Fourier. Da comparação com a técnica de elementos finitos, as seguintes conclusões podem ser tiradas: • Para um modelo de dupla camada da Terra, as camadas separadas por uma interface cuja profundidade varia senoidalmente em uma direção, as respostas eletromagnética são muito mais fortes quando a espessura da primeira camada é da ordem do skin depth da onda eletromagnética no meio, e será tanto maior quanto maior for o contraste de condutividade entre as camadas; • Por outro lado, a resistividade aparente para este modelo não é afetada pela mudança na frequência espacial (v) do contorno; • Em caso do uso da solução geral para qualquer dupla camada na Terra cuja interface possa ser desenvolvida em série de Fourier, esta técnica produziu bons resultados quando comparado com a técnica de elementos finitos. A linerização restringe a aplicação da técnica para pequenas estruturas, apesar disso, uma grande quantidade de estruturas pode ser modelada de modo simples e com tempo computacional bastante rápido; • Quando a dimensão da primeira camada possui a mesma ordem de grandeza da estrutura, esta técnica não é recomendada, porque para algumas posições de sondagem, as curvas de resistividade aparente obtidas mostram um pequeno deslocamento quando comparadas com as curvas obtidas por elementos finitos.

Diet and niche breadth and overlap in fish communities within the area affected by an Amazonian reservoir (Amapá, Brazil)

Nós investigamos a amplitude e a sobreposição de nicho de espécies de peixes que ocorrem em quatro ambientes afetados pelo reservatório Coaracy Nunes, no Estado brasileiro do Amapá. Amostras sazonais de peixes foram coletadas usando uma configuração padrão com malhadeiras, tarrafas, linhas e armadilhas. Quinhentos e quarenta conteúdos estomacais, representando 47 espécies de peixes, foram analisados e quantificados. Amplitude e sobreposição de nichos foram estimadas usando os índices de Levin e Pianka, respectivamente, enquanto a competição interespecífica foi avaliada usando (RA3) modelo nulo. ANOVA e o teste de Kruskal¬Wallis foram usados para avaliar, respectivamente, as diferenças de amplitude e sobreposição de nichos entre áreas. Os dados indicaram que a maioria das espécies de peixes pertence às guildas de psicívoros, onívoros e detritívoros. Estas espécies provavelmente colonizaram os ambientes devido à disponibilidade de adequados recursos alimentares e às favoráveis condições físicas criadas pelo represamento do rio. De maneira geral, poucas espécies têm nichos amplos, mas muitas delas são altamente especializadas. Variação sazonal de recursos tem pouco efeito no comportamento alimentar da maioria das espécies nas áreas de estudo. Os modelos nulos indicaram que competição não foi um fator determinante na estrutura da comunidade.

A Reproducible Venous Thrombosis Model in Horses Induced by the Combination of an Endothelial Lesion and Blood Flow Stasis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Nonperturbative aspects of the two-dimensional massive gauged Thirring model

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Experimental model of intestinal endometriosis: pilot study

Aims: The objective of this study is to create an experimental model of intestinal endometriosis in pigs, which might allow better understanding of deep infiltrating endometriosis and development of new treatment techniques. As secondary objective, we intend to create endometrial implants accessible by transrectal ultrasonography (TRUS). Study Design: Surgical experimental study in swine. Place and Duration of Study: This study was performed at the Instituto de Ensino e Pesquisa do Hospital Sírio-Libanês, São Paulo, Brazil, between January 2012 and December 2012. Methodology: Two sexually mature female minipigBR pigs underwent two laparotomies (each animal). The first laparotomy was performed to implant two fragments of autologous endometrium in the rectal wall. The second one was performed thirty days later to visualize, measure and obtain tissue of the site of the implants for histopathology study. A TRUS study was performed prior to the second surgery. The Institution’s Animal Utilization Study Committee approved the study. Results: In the first laparotomy a 5-cm segment of right uterine horn was resected. The endometrium was separated from the myometrium through sub-endometrial saline injection. Two endometrial fragments (1.0 x 2.0 cm) were dissected and sutured in the intra peritoneal anterior rectal wall of the animals. Thirty days later, all implants were identified during preoperative TRUS. “En-bloc” resection of the intestinal segment with the implants was performed during the second surgery. The autologous implants of endometrium invaded the muscular layer in one of the two animals. Conclusion: We demonstrated that the creation of an animal model of deep infiltrating endometriosis with intestinal involvement is feasible through a simple surgical technique. We believe that this model can be applied in experimental and clinical studies but further studies are necessary to refine the technique.

A Model-Based Approach for Making Ecological Inference from Distance Sampling Data

We consider a fully model-based approach for the analysis of distance sampling data. Distance sampling has been widely used to estimate abundance (or density) of animals or plants in a spatially explicit study area. There is, however, no readily available method of making statistical inference on the relationships between abundance and environmental covariates. Spatial Poisson process likelihoods can be used to simultaneously estimate detection and intensity parameters by modeling distance sampling data as a thinned spatial point process. A model-based spatial approach to distance sampling data has three main benefits: it allows complex and opportunistic transect designs to be employed, it allows estimation of abundance in small subregions, and it provides a framework to assess the effects of habitat or experimental manipulation on density. We demonstrate the model-based methodology with a small simulation study and analysis of the Dubbo weed data set. In addition, a simple ad hoc method for handling overdispersion is also proposed. The simulation study showed that the model-based approach compared favorably to conventional distance sampling methods for abundance estimation. In addition, the overdispersion correction performed adequately when the number of transects was high. Analysis of the Dubbo data set indicated a transect effect on abundance via Akaike’s information criterion model selection. Further goodness-of-fit analysis, however, indicated some potential confounding of intensity with the detection function.

Hydration and anomalous solubility of the Bell-Lavis model as solvent

We address the investigation of the solvation properties of the minimal orientational model for water originally proposed by [Bell and Lavis, J. Phys. A 3, 568 (1970)]. The model presents two liquid phases separated by a critical line. The difference between the two phases is the presence of structure in the liquid of lower density, described through the orientational order of particles. We have considered the effect of a small concentration of inert solute on the solvent thermodynamic phases. Solute stabilizes the structure of solvent by the organization of solvent particles around solute particles at low temperatures. Thus, even at very high densities, the solution presents clusters of structured water particles surrounding solute inert particles, in a region in which pure solvent would be free of structure. Solute intercalates with solvent, a feature which has been suggested by experimental and atomistic simulation data. Examination of solute solubility has yielded a minimum in that property, which may be associated with the minimum found for noble gases. We have obtained a line of minimum solubility (TmS) across the phase diagram, accompanying the line of maximum density. This coincidence is easily explained for noninteracting solute and it is in agreement with earlier results in the literature. We give a simple argument which suggests that interacting solute would dislocate TmS to higher temperatures.

The role of clouds in improving the regression model for hourly values of diffuse solar radiation

The study introduces a new regression model developed to estimate the hourly values of diffuse solar radiation at the surface. The model is based on the clearness index and diffuse fraction relationship, and includes the effects of cloud (cloudiness and cloud type), traditional meteorological variables (air temperature, relative humidity and atmospheric pressure observed at the surface) and air pollution (concentration of particulate matter observed at the surface). The new model is capable of predicting hourly values of diffuse solar radiation better than the previously developed ones (R-2 = 0.93 and RMSE = 0.085). A simple version with a large applicability is proposed that takes into consideration cloud effects only (cloudiness and cloud height) and shows a R-2 = 0.92. (C) 2011 Elsevier Ltd. All rights reserved.

Integrodifference model for blowfly invasion

We propose a stage-structured integrodifference model for blowflies' growth and dispersion taking into account the density dependence of fertility and survival rates and the non-overlap of generations. We assume a discrete-time, stage-structured, model. The spatial dynamics is introduced by means of a redistribution kernel. We treat one and two dimensional cases, the latter on the semi-plane, with a reflexive boundary. We analytically show that the upper bound for the invasion front speed is the same as in the one-dimensional case. Using laboratory data for fertility and survival parameters and dispersal data of a single generation from a capture-recapture experiment in South Africa, we obtain an estimate for the velocity of invasion of blowflies of the species Chrysomya albiceps. This model predicts a speed of invasion which was compared to actual observational data for the invasion of the focal species in the Neotropics. Good agreement was found between model and observations.