Possíveis implicações da contaminação fúngica num aviário

Introdução – Apesar de em Portugal se verificar o aumento da indústria da produção de aves para consumo humano, apenas alguns estudos incidem sobre a qualidade do ar interior e as implicações da sua degradação. Objectivos – Descrever a contaminação fúngica num aviário, analisar possíveis associações com a temperatura ambiente e a humidade relativa e o possível impacto na saúde dos consumidores e trabalhadores desta unidade. Métodos – Foi desenvolvido um estudo descritivo para avaliar a contaminação fúngica num aviário. Colheram‑se 5 amostras de ar de 100 litros através do método de compactação e 4 amostras de superfícies, utilizando a técnica da zaragatoa e um quadrado de 10 cm de lado de metal. Simultaneamente, os parâmetros ambientais – temperatura ambiente e humidade relativa – também foram medidos. Resultados – Foram identificadas vinte espécies de fungos no ar, sendo os seguintes os quatro géneros mais comummente isolados: Cladosporium (40,5%), Alternaria (10,8%), Chrysosporium e Aspergillus (6,8%). Nas superfícies, 21 espécies de fungos foram identificadas, sendo os 4 géneros mais identificados Penicillium (51,8%), Cladosporium (25,4%), Alternaria (6,1%) e Aspergillus (4,2%). Importa referir o facto de Aspergillus flavus, também isolado no ar, ser reconhecido como produtor de micotoxinas (aflatoxina) e Aspergillus fumigatus, uma das espécies isoladas no ar e superfícies, ser capaz de causar aspergilose grave ou fatal. Não se verificou relação significativa (p> 0,05) entre a contaminação fúngica e as variáveis ambientais. Conclusão – Caracterizou‑se a distribuição fúngica no ar e superfícies do aviário e analisou‑se a possível influência das variáveis ambientais. Foi reconhecido um potencial problema de Saúde Pública devido à contaminação fúngica e à possível produção de micotoxinas com a eventual contaminação dos produtos alimentares. A contaminação fúngica, particularmente causada pelo Aspergillus fumigatus, e a possível presença de micotoxinas no ar, devem ser encaradas também como fatores de risco neste contexto ocupacional. ABSTRACT - Background – Although there is an increasingly industry that produce whole chickens for domestic consumption in Portugal, only few investigations have reported on the indoor air of these plants and the consequences of their degradation. Objectives – Describe one poultry environmental fungal contamination analyse possible associations between temperature and relative humidity and its possible impact on the health of consumers and of the poultry workers. Methods – A descriptive study was developed to monitor one poultry fungal contamination. Five air samples of 100 litres through impaction method were collected and 4 swab samples from surfaces were also collected using a 10 cm square of metal. Simultaneously, environmental parameters – temperature and relative humidity – were also measured. Results – Twenty species of fungi in air were identified, being the 4 most commonly isolated the following genera: Cladosporium (40.5%), Alternaria (10.8%), Chrysosporium and Aspergillus (6.8%). In surfaces, 21 species of fungi were identified, being the 4 genera more identified Penicillium (51.8%), Cladosporium (25.4%), Alternaria (6.1%) and Aspergillus (4.2%). In addition, Aspergillus flavus also isolated in the poultry air is a well‑known producer of potent mycotoxins (aflatoxin), and Aspergillus fumigatus, one of the species isolated in air and surfaces, is capable of causing severe or fatal aspergillosis. There was no significant relationship (p>0,05) between fungal contamination and environmental variables. Conclusions – Was characterized fungal distribution in poultry air and surfaces and analyzed the association of environmental variables. It was recognized the Public Health problem because of fungal contamination and also due to probable mycotoxins production with the possible contamination of food products. Fungal contamination, particularly due to the presence of Aspergillus fumigatus and also the possible presence of mycotoxins in the air, should be seen as risk factor in this occupational setting.

Comparison of fungal contamination between hospitals and companies food units

A descriptive study was developed to compare air and surfaces fungal contamination in ten hospitals’ food units and two food units from companies. Fifty air samples of 250 litres through impaction method were collected from hospitals’ food units and 41 swab samples from surfaces were also collected, using a 10 by 10 cm square stencil. Regarding the two companies, ten air samples and eight surface samples were collected. Air and surface samples were collected in food storage facilities, kitchen, food plating and canteen. Outdoor air was also collected since this is the place regarded as a reference. Simultaneously, temperature, relative humidity and meal numbers were registered. Concerning air from hospitals’ food units, 32 fungal species were identified, being the two most commonly isolated genera Penicillium sp.

Nonlinear optimization method for short-term hydro scheduling considering head-dependency

This paper is on the problem of short-term hydro scheduling, particularly concerning head-dependent reservoirs under competitive environment. We propose a new nonlinear optimization method to consider hydroelectric power generation as a function of water discharge and also of the head. Head-dependency is considered on short-term hydro scheduling in order to obtain more realistic and feasible results. The proposed method has been applied successfully to solve a case study based on one of the main Portuguese cascaded hydro systems, providing a higher profit at a negligible additional computation time in comparison with a linear optimization method that ignores head-dependency.

A method to analyse the alignment of core values in collaborative networked organisations

Since collaborative networked organisations are usually formed by independent and heterogeneous entities, it is natural that each member holds his own set of values, and that conflicts among partners might emerge because of some misalignment of values. In contrast, it is often stated in literature that the alignment between the value systems of members involved in collaborative processes is a prerequisite for successful co-working. As a result, the issue of core value alignment in collaborative networks started to attract attention. However, methods to analyse such alignment are lacking mainly because the concept of 'alignment' in this context is still ill defined and shows a multifaceted nature. As a contribution to the area, this article introduces an approach based on causal models and graph theory for the analysis of core value alignment in collaborative networks. The potential application of the approach is then discussed in the virtual organisations' breeding environment context.

Matrix Converter-Based Unified Power-Flow Controllers: Advanced Direct Power Control Method

This paper presents a direct power control (DPC) for three-phase matrix converters operating as unified power flow controllers (UPFCs). Matrix converters (MCs) allow the direct ac/ac power conversion without dc energy storage links; therefore, the MC-based UPFC (MC-UPFC) has reduced volume and cost, reduced capacitor power losses, together with higher reliability. Theoretical principles of direct power control (DPC) based on sliding mode control techniques are established for an MC-UPFC dynamic model including the input filter. As a result, line active and reactive power, together with ac supply reactive power, can be directly controlled by selecting an appropriate matrix converter switching state guaranteeing good steady-state and dynamic responses. Experimental results of DPC controllers for MC-UPFC show decoupled active and reactive power control, zero steady-state tracking error, and fast response times. Compared to an MC-UPFC using active and reactive power linear controllers based on a modified Venturini high-frequency PWM modulator, the experimental results of the advanced DPC-MC guarantee faster responses without overshoot and no steady-state error, presenting no cross-coupling in dynamic and steady-state responses.

Deformação miocárdica analisada por 2D strain em indivíduos com lúpus eritematoso sistémico

Mestrado em Tecnologia de Diagnóstico e Intervenção Cardiovascular. Área de especialização: Ultrassonografia Cardiovascular.

Synthesis of optimization of [11C] Pittsburgh compound B by the captive solvent method

Mestrado em Medicina Nuclear.

Determination of chitin content in fungal cell wall: an alternative flow cytometric method

The conventional methods used to evaluate chitin content in fungi, such as biochemical assessment of glucosamine release after acid hydrolysis or epifluorescence microscopy, are low throughput, laborious, time-consuming, and cannot evaluate a large number of cells. We developed a flow cytometric assay, efficient, and fast, based on Calcofluor White staining to measure chitin content in yeast cells. A staining index was defined, its value was directly related to chitin amount and taking into consideration the different levels of autofluorecence. Twenty-two Candida spp. and four Cryptococcus neoformans clinical isolates with distinct susceptibility profiles to caspofungin were evaluated. Candida albicans clinical isolate SC5314, and isogenic strains with deletions in chitin synthase 3 (chs3Δ/chs3Δ) and genes encoding predicted Glycosyl Phosphatidyl Inositol (GPI)-anchored proteins (pga31Δ/Δ and pga62Δ/Δ), were used as controls. As expected, the wild-type strain displayed a significant higher chitin content (P < 0.001) than chs3Δ/chs3Δ and pga31Δ/Δ especially in the presence of caspofungin. Ca. parapsilosis, Ca. tropicalis, and Ca. albicans showed higher cell wall chitin content. Although no relationship between chitin content and antifungal drug susceptibility phenotype was found, an association was established between the paradoxical growth effect in the presence of high caspofungin concentrations and the chitin content. This novel flow cytometry protocol revealed to be a simple and reliable assay to estimate cell wall chitin content of fungi.

Novel method using a laser scanning cytometer for detection of Mycobacteria in clinical samples

In order to evaluate the capacity of laser scanning cytometry (LSC) to detect acid-fast bacilli directly on clinical samples, a comparison between Kinyoun-stained smears analyzed under light microscopy and propidium iodide-auramine-stained smears analyzed by LSC was performed. The results were compared with those for culture on BACTEC MGIT 960. LSC is a new, reliable methodology to detect Mycobacteria.

Determination of stresses around a cylindrical single pile caused by horizontal movements of soils with the finitive element method

This study was carried out with the aim of modeling in 2D, in plain strain, the movement of a soft cohesive soil around a pile, in order to enable the determination of stresses resulting along the pile, per unit length. The problem in study fits into the large deformations problem and can be due to landslide, be close of depth excavations, to be near of zones where big loads are applied in the soil, etc. In this study is used an constitutive Elasto-Plastic model with the failure criterion of Mohr-Coulomb to model the soil behavior. The analysis is developed considering the soil in undrained conditions. To the modeling is used the finite element program PLAXIS, which use the Updated Lagrangian - Finite Element Method (UL-FEM). In this work, special attention is given to the soil-pile interaction, where is presented with some detail the formulation of the interface elements and some studies for a better understand of his behavior. It is developed a 2-D model that simulates the effect of depth allowing the study of his influence in the stress distribution around the pile. The results obtained give an important base about how behaves the movement of the soil around a pile, about how work the finite element program PLAXIS and how is the stress distribution around the pile. The analysis demonstrate that the soil-structure interaction modeled with the UL-FEM and interface elements is more appropriate to small deformations problems.

Analysis of functionally graded sandwich plate structures with piezoelectric skins, using B-spline finite strip method

Functionally graded materials are composite materials wherein the composition of the constituent phases can vary in a smooth continuous way with a gradation which is function of its spatial coordinates. This characteristic proves to be an important issue as it can minimize abrupt variations of the material properties which are usually responsible for localized high values of stresses, and simultaneously providing an effective thermal barrier in specific applications. In the present work, it is studied the static and free vibration behaviour of functionally graded sandwich plate type structures, using B-spline finite strip element models based on different shear deformation theories. The effective properties of functionally graded materials are estimated according to Mori-Tanaka homogenization scheme. These sandwich structures can also consider the existence of outer skins of piezoelectric materials, thus achieving them adaptive characteristics. The performance of the models, are illustrated through a set of test cases. (C) 2012 Elsevier Ltd. All rights reserved.

Optimal design for active damping in sandwich structures using the Direct MultiSearch method

This paper addresses the problem of optimal positioning of surface bonded piezoelectric patches in sandwich plates with viscoelastic core and laminated face layers. The objective is to maximize a set of modal loss factors for a given frequency range using multiobjective topology optimization. Active damping is introduced through co-located negative velocity feedback control. The multiobjective topology optimization problem is solved using the Direct MultiSearch Method. An application to a simply supported sandwich plate is presented with results for the maximization of the first six modal loss factors. The influence of the finite element mesh is analyzed and the results are, to some extent, compared with those obtained using alternative single objective optimization. (C) 2013 Elsevier Ltd. All rights reserved.

Assesing multileaf collimator effect on the build-up region using Monte Carlo method

Previous Monte Carlo studies have investigated the multileaf collimator (MLC) contribution to the build-up region for fields in which the MLC leaves were fully blocking the openings defined by the collimation jaws. In the present work, we investigate the same effect but for symmetric and asymmetric MLC defined field sizes (2×2, 4×4, 10×10 and 3×7 cm2). A Varian 2100C/D accelerator with 120-leaf MLC is accurately modeled fora6MVphoton beam using the BEAMnrc/EGSnrc code. Our results indicate that particles scattered from accelerator head and MLC are responsible for the increase of about 7% on the surface dose when comparing 2×2 and 10×10 cm2 fields. We found that the MLC contribution to the total build-up dose is about 2% for the 2×2 cm2 field and less than 1% for the largest fields.

Exposure to fungi in dockers

Several activities are ensured by dockers increase occupational exposure to several risk factors. being one of them the fungal burden from the load. In this study we aim at characterizing fungal contamination in one warehouse that storage sugar cane from a ship, and also in one crane cabinet that unload the same sugar cane from the ship. Air samples were collected from the warehouse and from inside the crane cabinet. An outdoor sample was also collected, from each sampling site, and regarding as reference. Sampling volume was selected depending in the contamination expected and the air samples were collect through an impaction method in a flow rate of 140 L/min onto malt extract agar (MEA) supplemented with chloramphenicol (0.05%), using the Millipore air Tester (Millipore). Surfaces samples from the warehouse were collected by swabbing the surfaces of the same indoor sites, using a 10 by 10cm square stencil according to the International Standard ISO 18593 (2004). The obtained swabs were then plated onto MEA. All the collected samples were incubated at 27ºC for 5 to 7 days. After laboratory processing and incubation of the collected samples, quantitative (colony-forming units - CFU/m3 and CFU/m2) and qualitative results were obtained with identification of the isolated fungal species. Aspergillus fumigatus present the highest fungal load and WHO guideline was overcome in both indoor sampling sites. The results obtained in this study highlight the need to know better the exposure burden from dockers, and specifically to fungi contamination.

Hyperspectral subspace identification

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.