Efficacy of antibiotic therapy for peritoneal dialysis-associated peritonitis: a proportional meta-analysis

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Gene expression profiling in leiomyosarcomas and undifferentiated pleomorphic sarcomas: SRC as a new diagnostic marker

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

Métodos analíticos para a identificação de espécies animais

The food industry has been rapidly modernized, and with this the disposal and the consumption of industrialized food has been increasing continually. These products lose their original morphological characteristics, requiring fast and reliable tests that could help to identify the species in question, as most fraudulent behavior in the milk and dairy industry (meat and fish) is carried out where there is partial or total exchange of the original material for other with less value at market. Nowadays there is a lot of techniques that can be used for the identification of animal species, based on muscle protein, or DNA analysis. In the case of protein based analysis, we can mention several types of electrophoresis and immunologic methods, as ELISA. In the case of DNA based methods, we have several assays that use the amplification of DNA fragments, known as PCR, as proof. All these techniques have advantages and disadvantages that can be affected by factors- the sample condition, or the degree of relation between the species in question. Because of this, it’s necessary that a continuous study looking for the improvement of the available techniques, making sure that the confirmation of food authenticity is in place. This is to ensure the true product value, to comply with labeling regulationand and protect the consumer of frauds

Stress distribution around osseointegrated implants with different internal-cone connections: photoelastic and finite element analysis

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Técnicas de análise multivariada na determinação de grupos homogêneos de produtores de leite

Nesta pesquisa objetivou-se captar a variedade de situações tecnológicas para identificar grupos de produtores, o mais semelhante possível, no conjunto de variáveis e características selecionadas. Foram considerados 72 produtores, 8,33% da amostra total, selecionados conforme 29 variáveis relacionadas a fatores produtivos. Avaliaram-se as variáveis de melhor representatividade dentro de cada fator e suas comunalidades dentro do conjunto de fatores analisados. Para a avaliação desses resultados, foram utilizados métodos de análise fatorial em componentes principais. Posteriormente, aplicou-se o método de análise de agrupamentos. O pluralismo tecnológico requer análises de agrupamento para viabilizar intervenções técnicas diferenciadas, o que permite a consolidação de condições de sustentabilidade a partir das reais necessidades de incorporação tecnológica dos produtores.

Padrões nutricionais para lavouras arrozeiras irrigadas por inundação pelos métodos da CDN chance matemática

Para o arroz irrigado, poucos trabalhos utilizam métodos de diagnose foliar desenvolvidos para as condições locais de clima, solo ou cultivares. O objetivo deste trabalho foi avaliar os métodos da Diagnose da Composição Nutricional e da Chance Matemática na definição dos padrões nutricionais de lavouras arrozeiras do Estado do Rio Grande do Sul. Resultados de produtividade de grãos e teores foliares de N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, Zn e Mo de 356 lavouras arrozeiras cultivadas sob sistema de irrigação por inundação foram utilizados para a determinação das faixas de suficiência calculadas pelo método da Chance Matemática. As faixas de suficiência foram comparadas com valores críticos propostos pela literatura e com o intervalo de confiança do teor médio dos nutrientes em lavouras consideradas nutricionalmente equilibradas, identificadas pelo método Diagnose da Composição Nutricional. Observou-se pouca concordância entre os valores das faixas de suficiência indicados pelos métodos da Chance Matemática e da Diagnose da Composição Nutricional e os respectivos valores indicados na literatura. A faixa de teores foliares adequados, consistentes com maior produtividade média das lavouras arrozeiras, foi indicada ser de 23 a 28 g kg-1 para N; 11 a 14 g kg-1 para K; 1,4 a 2,0 g kg-1 para S; 6 a 12 mg kg-1 para B; e 70 a 200 mg kg-1 para Fe. Para os teores foliares de P, Ca, Mg, B, Cu, Mn e Zn e Mo nenhuma das faixas adequadas testadas indicou capacidade para distinguir as lavouras arrozeiras quanto à produtividade média.

Transcription profiling of signal transduction-related genes in sugarcane tissues

A collection of 237,954 sugarcane ESTs was examined in search of signal transduction genes. Over 3,500 components involved in several aspects of signal transduction, transcription, development, cell cycle, stress responses and pathogen interaction were compiled into the Sugarcane Signal Transduction (SUCAST) Catalogue. Sequence comparisons and protein domain analysis revealed 477 receptors, 510 protein kinases, 107 protein phosphatases, 75 small GTPases, 17 G-proteins, 114 calcium and inositol metabolism proteins, and over 600 transcription factors. The elements were distributed into 29 main categories subdivided into 409 sub-categories. Genes with no matches in the public databases and of unknown function were also catalogued. A cDNA microarray was constructed to profile individual variation of plants cultivated in the field and transcript abundance in six plant organs (flowers, roots, leaves, lateral buds, and 1(st) and 4(th) internodes). From 1280 distinct elements analyzed, 217 (17%) presented differential expression in two biological samples of at least one of the tissues tested. A total of 153 genes (12%) presented highly similar expression levels in all tissues. A virtual profile matrix was constructed and the expression profiles were validated by real-time PCR. The expression data presented can aid in assigning function for the sugarcane genes and be useful for promoter characterization of this and other economically important grasses.

Distribuição radicular de cultivares de aspargo em áreas irrigadas de Petrolina - PE

A distribuição radicular de duas cultivares de aspargo (New Jersey 220 e UC 157 F1), irrigadas por aspersão convencional, foi avaliada durante o ano de 1997 em solos de textura arenosa, em plantio experimental e comercial, respectivamente, nos Projetos de Irrigação de Bebedouro e Senador Nilo Coelho, em Petrolina (PE). O objetivo foi obter informações do sistema radicular do aspargo, empregando-se os métodos do monolito e do perfil de solo auxiliado pela análise de imagens digitais, para o manejo de solo e água nesse cultivo. Na área experimental, a maior parte da matéria seca, área e comprimento de raízes no perfil de solo e densidade de comprimento radicular foram encontradas até a profundidade de 0,4 m nas duas cultivares, enquanto que na comercial a maior parte da área e comprimento de raízes no perfil do solo estendeu-se até a profundidade de 0,6 m (cv. New Jersey 220). Nesses dois plantios, as raízes das cultivares atingiram a profundidade de 1 m. Na área experimental, a massa seca, a área e o comprimento no perfil de solo, e a densidade de comprimento radicular nas cultivares concentraram-se até a distância de 0,6 m à linha de plantas. No intervalo de diâmetro (d) de raízes 2

Metais pesados do solo após aplicação de biossólido: II - Disponibilidade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Information Visualization to Enhance Sensitivity and Selectivity in Biosensing

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

Ultrasonic density measurement cell design and simulation of non-ideal effects

This paper presents a theoretical analysis of a density measurement cell using an unidimensional model composed by acoustic and electroacoustic transmission lines in order to simulate non-ideal effects. The model is implemented using matrix operations, and is used to design the cell considering its geometry, materials used in sensor assembly, range of liquid sample properties and signal analysis techniques. The sensor performance in non-ideal conditions is studied, considering the thicknesses of adhesive and metallization layers, and the effect of residue of liquid sample which can impregnate on the sample chamber surfaces. These layers are taken into account in the model, and their effects are compensated to reduce the error on density measurement. The results show the contribution of residue layer thickness to density error and its behavior when two signal analysis methods are used. (c) 2006 Elsevier B.V. All rights reserved.

Optimal design of smart structures using bonded plezoelectrics for vibration control

Smart material technology has become an area of increasing interest for the development of lighter and stronger structures which are able to incorporate actuator and sensor capabilities for collocated control. In the design of actively controlled structures, the determination of the actuator locations and the controller gains, is a very important issue. For that purpose, smart material modelling, modal analysis methods, control and optimization techniques are the most important ingredients to be taken into account. The optimization problem to be solved in this context presents two interdependent aspects. The first one is related to the discrete optimal actuator location selection problem which is solved in this paper using genetic algorithms. The second is represented by a continuous variable optimization problem, through which the control gains are determined using classical techniques. A cantilever Euler-Bernoulli beam is used to illustrate the presented methodology.

Optimal placement of piezoelectric sensor/actuators for smart structures vibration control

Smart material technology has become an area of increasing interest for the development of lighter and stronger structures that are able to incorporate actuator and sensor capabilities for collocated control. In the design of actively controlled structures, the determination of the actuator locations and the controller gains is a very important issue. For that purpose, smart material modeling, modal analysis methods, and control and optimization techniques are the most important ingredients to be taken into account. The optimization problem to be solved in this context presents two interdependent aspects. The first is related to the discrete optimal actuator location selection problem, which is solved in this paper using genetic algorithms. The second is represented by a continuous variable optimization problem, through which the control gains are determined using classical techniques. A cantilever Euler-Bernoulli beam is used to illustrate the presented methodology.

Perineural Invasion in Aggressive Skin Carcinomas of the Head and Neck

Introduction: Perineural invasion is a well-recognized form of cancer dissemination. However, it has been reported only in few papers concerning cutaneous carcinomas ( basal cell, BCC, and squamous cell, SCC). Moreover, the incidence is considered to be very low. Niazi and Lambert [Br J Plast Surg 1993; 46: 156-157] reported only 0.18% of perineural invasion among 3,355 BCCs. It is associated with high-risk subtypes, as morphea-like, as well as with an increased risk of local recurrence. No paper was found in the literature looking for perineural invasion in very aggressive skin cancers with skull base extension, with immunohistochemical analysis. Methods: This is a retrospective review, including 35 very advanced skin carcinomas with skull base invasion (24 BCCs and 11 SCCs, operated on at a single institution from 1982 to 2000). Representative slides were immunohistochemically evaluated with antiprotein S-100, in order to enhance nerve fibers and to detect perineural invasion. The results were compared to 34 controls with tumors with a good outcome, treated in the same time frame at the same Institution. Results: Twelve (50.0%) of the BCCs with skull base invasion had proven perineural invasion, as opposed to only 1 (4.6%) of the controls, and this difference was statistically significant (p < 0.001). Regarding SCCs, 7 aggressive tumors (63.6%) showed perineural invasion compared to only 1 (10.0%) of the controls, but this difference did not reach significance (p=0.08), due to the small number of cases. Conclusions: In this series, it was demonstrated that immunohistochemically detected perineural invasion was very prevalent in advanced skin carcinomas. In addition, it was statistically associated with extremely aggressive BCCs with skull base invasion. Copyright (c) 2008 S. Karger AG, Basel

Avaliação cefalométrica do perfil mole de pacientes face longa submetidos à cirurgia ortognática: estudo retrospectivo

OBJETIVO: o presente trabalho propôs-se a comparar o perfil tegumentar pós-operatório de pacientes Classe II, Padrão Face Longa, submetidos ao tratamento ortodôntico-cirúrgico, com os parâmetros descritos na análise cefalométrica de Legan e Burstone. METODOLOGIA: 32 telerradiografias pós-cirúrgicas, com um mínimo de 6 meses de acompanhamento, foram submetidas a traçado manual (repetido 4 vezes) e digitalização (também repetida 4 vezes) no programa DFPlus para análise cefalométrica. RESULTADOS: os resultados permitiram verificar que 9 das 11 medidas avaliadas encontravam-se estatisticamente diferentes da norma avaliada; contudo, ao se verificar o desvio padrão permitido na norma, os achados deste trabalho situam-se dentro da mesma, com exceção do ângulo mentocervical. CONCLUSÃO: as condições experimentais deste estudo permitiram concluir que, embora a população estudada tenha obtido resultados estéticos-funcionais satisfatórios, não se enquadrou nas normas da análise de Legan e Burstone, o que indica que a avaliação após a cirurgia ortognática deve ser principalmente clínica e que a estética facial não está totalmente relacionada com as medidas préestabelecidas na análise cefalométrica.