Temporal variation in the abundance of two species of thrushes in relation to fruiting phenology in the Atlantic rainforest

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

Aplicação da abordagem estatística no contexto da gestão da qualidade: um survey b com indústrias de alimentos de São Paulo

Nas últimas duas décadas, o crescimento do interesse pela metodologia Seis Sigma intensificou a aplicação da abordagem estatística e de outras abordagens quantitativas com o intuito de melhorar não apenas a qualidade de produtos, serviços e processos, como também aumentar o desempenho organizacional e o processo de tomada de decisão. Este artigo trata da aplicação da abordagem estatística no contexto da gestão da qualidade em indústrias de alimentos de médio e grande porte do Estado de São Paulo com o propósito de: identificar quais ferramentas e técnicas estatísticas são mais amplamente empregadas por indústrias do setor para garantir e controlar a qualidade; avaliar a interdependência entre o sucesso da implementação de programas de qualidade e segurança alimentar como Boas Práticas de Fabricação (BPF) e sistema de Análise de Perigos e Pontos Críticos de Controle (APPCC) e o uso de estatística; e analisar estimativas do grau de relevância do pensamento estatístico e de seus benefícios como ferramenta de melhoria da qualidade. Um survey exploratório-descritivo foi realizado e os resultados revelaram que a abordagem estatística começa a ser mais valorizada nas indústrias de alimentos pela relevância de seus benefícios assim como já ocorre em outros setores. Há evidências de que a implantação bem sucedida dos programas de segurança alimentar seja uma condição primordial para o uso efetivo de estatística e de outras abordagens quantitativas.

Efeitos da rochagem e de resíduos orgânicos sobre aspectos químicos e microbiológicos de um subsolo exposto e sobre o crescimento de Astronium fraxinifolium Schott

Áreas degredadas, como as oriundas da construção da Usina Hidrelétrica de Ilha Solteira, de onde as camadas superficiais do solo foram removidas, apresentam baixa regeneração natural e subsolo desnudo, com problemas de compactação, alta densidade global, alta resistência à penetração de raízes e falta de matéria orgânica. Para revegetar essas áreas, torna-se necessário melhorar as condições gerais do subsolo. Este trabalho objetivou verificar os efeitos da rochagem (basalto) e da aplicação de diferentes resíduos orgânicos sobre aspectos químicos e microbiológicos de um subsolo exposto e sobre o crescimento de Gonçalo Alves (Astronium fraxinifolium Schott), uma espécie arbórea nativa de Cerrado. O experimento foi conduzido em casa de vegetação e constou de 17 tratamentos, como se segue: subsolo de área de empréstimo com quatro doses de basalto (0, 2, 4 e 8 t ha-1), combinadas ou não com 8 t ha-1 de três resíduos orgânicos (aguapé, esterco de curral e lodo doméstico), gerando 16 tratamentos, além de um adicional, com solo de Cerrado preservado, utilizado como referência, com quatro repetições por tratamento. Foram realizadas análises químicas e microbiológicas do subsolo, além de medidas de altura, massa seca e fresca da parte aérea e do sistema radicular das plantas. Os resultados indicam que os procedimentos com esterco e aguapé, adicionados ou não de basalto, foram os que mais contribuíram para melhorar as condições químicas do subsolo e proporcionar os maiores resultados para as variáveis microbiológicas, enquanto as plantas apresentaram o maior crescimento nos tratamentos em que foram adicionados lodo de esgoto e basalto. A rochagem, realizada com basalto, proporcionou resultados positivos.

The STATFLUX code: a statistical method for calculation of flow and set of parameters, based on the Multiple-Compartment Biokinetical Model

The code STATFLUX, implementing a new and simple statistical procedure for the calculation of transfer coefficients in radionuclide transport to animals and plants, is proposed. The method is based on the general multiple-compartment model, which uses a system of linear equations involving geometrical volume considerations. Flow parameters were estimated by employing two different least-squares procedures: Derivative and Gauss-Marquardt methods, with the available experimental data of radionuclide concentrations as the input functions of time. The solution of the inverse problem, which relates a given set of flow parameter with the time evolution of concentration functions, is achieved via a Monte Carlo Simulation procedure.Program summaryTitle of program: STATFLUXCatalogue identifier: ADYS_v1_0Program summary URL: http://cpc.cs.qub.ac.uk/summaries/ADYS_v1_0Program obtainable from: CPC Program Library, Queen's University of Belfast, N. IrelandLicensing provisions: noneComputer for which the program is designed and others on which it has been tested: Micro-computer with Intel Pentium III, 3.0 GHzInstallation: Laboratory of Linear Accelerator, Department of Experimental Physics, University of São Paulo, BrazilOperating system: Windows 2000 and Windows XPProgramming language used: Fortran-77 as implemented in Microsoft Fortran 4.0. NOTE: Microsoft Fortran includes non-standard features which are used in this program. Standard Fortran compilers such as, g77, f77, ifort and NAG95, are not able to compile the code and therefore it has not been possible for the CPC Program Library to test the program.Memory, required to execute with typical data: 8 Mbytes of RAM memory and 100 MB of Hard disk memoryNo. of bits in a word: 16No. of lines in distributed program, including test data, etc.: 6912No. of bytes in distributed Program, including test data, etc.: 229 541Distribution format: tar.gzNature of the physical problem: the investigation of transport mechanisms for radioactive substances, through environmental pathways, is very important for radiological protection of populations. One such pathway, associated with the food chain, is the grass-animal-man sequence. The distribution of trace elements in humans and laboratory animals has been intensively studied over the past 60 years [R.C. Pendlenton, C.W. Mays, R.D. Lloyd, A.L. Brooks, Differential accumulation of iodine-131 from local fallout in people and milk, Health Phys. 9 (1963) 1253-1262]. In addition, investigations on the incidence of cancer in humans, and a possible causal relationship to radioactive fallout, have been undertaken [E.S. Weiss, M.L. Rallison, W.T. London, W.T. Carlyle Thompson, Thyroid nodularity in southwestern Utah school children exposed to fallout radiation, Amer. J. Public Health 61 (1971) 241-249; M.L. Rallison, B.M. Dobyns, F.R. Keating, J.E. Rall, F.H. Tyler, Thyroid diseases in children, Amer. J. Med. 56 (1974) 457-463; J.L. Lyon, M.R. Klauber, J.W. Gardner, K.S. Udall, Childhood leukemia associated with fallout from nuclear testing, N. Engl. J. Med. 300 (1979) 397-402]. From the pathways of entry of radionuclides in the human (or animal) body, ingestion is the most important because it is closely related to life-long alimentary (or dietary) habits. Those radionuclides which are able to enter the living cells by either metabolic or other processes give rise to localized doses which can be very high. The evaluation of these internally localized doses is of paramount importance for the assessment of radiobiological risks and radiological protection. The time behavior of trace concentration in organs is the principal input for prediction of internal doses after acute or chronic exposure. The General Multiple-Compartment Model (GMCM) is the powerful and more accepted method for biokinetical studies, which allows the calculation of concentration of trace elements in organs as a function of time, when the flow parameters of the model are known. However, few biokinetics data exist in the literature, and the determination of flow and transfer parameters by statistical fitting for each system is an open problem.Restriction on the complexity of the problem: This version of the code works with the constant volume approximation, which is valid for many situations where the biological half-live of a trace is lower than the volume rise time. Another restriction is related to the central flux model. The model considered in the code assumes that exist one central compartment (e.g., blood), that connect the flow with all compartments, and the flow between other compartments is not included.Typical running time: Depends on the choice for calculations. Using the Derivative Method the time is very short (a few minutes) for any number of compartments considered. When the Gauss-Marquardt iterative method is used the calculation time can be approximately 5-6 hours when similar to 15 compartments are considered. (C) 2006 Elsevier B.V. All rights reserved.

DIFFERENT MEDIA, DIFFERENT TYPES OF COLLECTIVE WORK IN ONLINE CONTINUING TEACHER EDUCATION: WOULD YOU PASS THE PEN, PLEASE?

This paper presents some findings regarding the interaction between different computer interfaces and different types of collective work. We want to claim that design in online learning environments has a paramount role in the type of collaboration that happens among participants. In this paper, we report on data that illustrate how teachers can collaborate online in order to learn how to use geometry software in teaching activities. A virtual environment which allows that construction to be carried out collectively, even if the participants are not sharing a classroom, is the setting for the research presented in this paper.

Osseointegrated Implant Fracture: Causes and Treatment

Despite its high success rate, therapy with osseointegrated dental implants is not free of complications. Among the problems that may occur is fracture of implants, which, albeit a rare phenomenon, may lead to unpleasant clinical outcomes for the patient, as well as for the clinician. Thus, it is paramount to know the factors related to the biological processes involved in maintenance of osseointegration and biomechanics applied to dental implants to prevent such complications, as well as treatment options available to deal with the problem. Therefore, the objectives of this work were to investigate the literature to identify causative factors that may lead to fracture of dental implants and to discuss available procedures.

The implications of microsurgical anatomy for surgical approaches to the sellar region

The knowledge of the normal anatomy and variations regarding the management of tumors of the sellar region is paramount to perform safe surgical procedures. The sellar region is located in the center of the middle cranial fossa; it contains complex anatomical structures, and is the site of various pathological processes: tumor, vascular, developmental, and neuroendocrine. We review the microsurgical anatomy (microscopic and endoscopic) of this region and discuss the surgical nuances regarding this topic, based on anatomical concepts.

Big fish are the best: Seed dispersal of Bactris glaucescens by the pacu fish (Piaractus mesopotamicus) in the Pantanal, Brazil

We studied the potential role as seed disperser of the pacu fish (Piaracrus mesopotamicus, Characidae) in the Pantanal of Brazil. The most important food item in the diet of the pacu in the wet season was fruits of the palm Bactris glaucescens found in the guts of 73 percent of all fishes collected (N = 70). We found a positive relationship between fish length, weight, and gape size and the number of intact seeds in their gut. Therefore, large pacus are especially important in dispersing B. glaucescens seeds within the studied system. Since the best seed dispersers are the largest fishes, which are preferred by commercial fisheries, we predict that the ongoing over fishing in freshwater ecosystems will have major impacts on the dispersal system of fish-dependent plants. We suggest that it is paramount to change the attitudes in fisheries management of fruit-eating fishes and urgent to evaluate the impact of fishing on forest regeneration.

Results of prostate cancer screening in non-symptomatic men

Objectives: To verify prostate cancer prevalence in non-symptomatic men between 50 and 70 years old as well as cancer characteristics. Material and Methods: 2815 non-symptomatic men had total PSA and digital rectal examination performed between March 1998 and April 1998. Racial distribution was: 2331 Caucasians (83.9%), 373 Blacks (13.4%) and 75 Asiatic (2.7%). PSA was normal in 2554 (91.4%), 4 to 10 in 177 (6.3%) and greater than 10 in 64 (2.3%). DRE was normal in 2419 (86.3%), suspicious in 347 (12.4%) and characteristic for cancer in 37 (1.3%). Men with abnormal DRE and/or PSA had transrectal prostate biopsy indicated. Results: 461 biopsies were done and 78 tumors was detected (prevalence = 2.8%). Prevalence was progressively higher with age (p < 0.001), PSA level (p < 0.0001) and DRE findings (p = 0.0216). Cancer prevalence in Blacks was 1.65 times higher than in Caucasians (p > 0.05) and 94.9% of detected tumors were moderately or poorly differentiated. Sensibility, specificity, positive predictive value, negative predictive value and total accuracy for PSA were respectively: 66.6%; 89.7%; 51.7%; 94.2% and 86.5%. For DRE, the respective values were: 49.1%; 79.4%; 50.9%; 78.3% and 70.3%. Conclusions: prostate cancer prevalence in the studied population (2.8%) was similar to that of other countries populations. Cancer prevalence in blacks was 1.65 times higher than in Caucasians (difference was not statistically significant). Cancer prevalence becomes higher with aging. The association of DRE and PSA is of paramount importance for cancer diagnosis. The great majority of detected tumors (94.9%) was moderately and poorly differentiated. Brazil probably needs regional studies to better characterize prostate cancer epidemiology due to population heterogeneity.

Nonlinear absorption spectrum in perylene derivatives

Knowledge about nonlinear absorption spectra of materials used in photonic devices is of paramount importance in determining their optimum operation wavelengths. In this work, we have investigated the two-photon absorption (2PA) degenerate cross-section spectrum for perylene derivatives using the Z-scan technique with femtosecond laser pulses. All perylene derivatives studied present large 2PA cross-sections, only comparable to the best ones reported in the literature. The results achieved in the present investigation indicate perylene derivatives as promising materials for two-photon applications. ©2005 Optical Society of America.

Road maps towards an information society in Latin America and the Caribbean

Includes bibliography

Fast petroleum well drilling monitoring through optimum-path forest

Automatic inspection of petroleum well drilling has became paramount in the last years, mainly because of the crucial importance of saving time and operations during the drilling process in order to avoid some problems, such as the collapse of the well borehole walls. In this paper, we extended another work by proposing a fast petroleum well drilling monitoring through a modified version of the Optimum-Path Forest classifier. Given that the cutting's volume at the vibrating shale shaker can provide several information about drilling, we used computer vision techniques to extract texture informations from cutting images acquired by a digital camera. A collection of supervised classifiers were applied in order to allow comparisons about their accuracy and effciency. We used the Optimum-Path Forest (OPF), EOPF (Efficient OPF), Artificial Neural Network using Multilayer Perceptrons (ANN-MLP) Support Vector Machines (SVM), and a Bayesian Classifier (BC) to assess the robustness of our proposed schema for petroleum well drilling monitoring through cutting image analysis.

Using multiple abstraction levels to speedup an MPSoC virtual platform simulator

Virtual platforms are of paramount importance for design space exploration and their usage in early software development and verification is crucial. In particular, enabling accurate and fast simulation is specially useful, but such features are usually conflicting and tradeoffs have to be made. In this paper we describe how we integrated TLM communication mechanisms into a state-of-the-art, cycle-accurate, MPSoC simulation platform. More specifically, we show how we adapted ArchC fast functional instruction set simulators to the MPARM platform in order to achieve both fast simulation speed and accuracy. Our implementation led to a much faster hybrid platform, reaching speedups of up to 2.9 and 2.1x on average with negligible impact on power estimation accuracy (average 3.26% and 2.25% of standard deviation). © 2011 IEEE.

A graph-based framework for thermal faceprint characterization

Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels network of the face. In this work, we propose a novel framework for thermal faceprint extraction using a collection of graph-based techniques, which were never used to this task up to date. A robust method of thermal face segmentation is also presented. The experiments, which were conducted over the UND Collection C dataset, have showed promising results. © 2011 Springer-Verlag.

Land use image classification through optimum-path forest clustering

Land use classification has been paramount in the last years, since we can identify illegal land use and also to monitor deforesting areas. Although one can find several research works in the literature that address this problem, we propose here the land use recognition by means of Optimum-Path Forest Clustering (OPF), which has never been applied to this context up to date. Experiments among Optimum-Path Forest, Mean Shift and K-Means demonstrated the robustness of OPF for automatic land use classification of images obtained by CBERS-2B and Ikonos-2 satellites. © 2011 IEEE.