Detection of FRET signals with a wavelength sensitive device based on a-SiC:H

Glucose sensing is an issue with great interest in medical and biological applications. One possible approach to glucose detection takes advantage of measuring changes in fluorescence resonance energy transfer (FRET) between a fluorescent donor and an acceptor within a protein which undergoes glucose-induced changes in conformation. This demands the detection of fluorescent signals in the visible spectrum. In this paper we analyzed the emission spectrum obtained from fluorescent labels attached to a protein which changes its conformation in the presence of glucose using a commercial spectrofluorometer. Different glucose nanosensors were used to measure the output spectra with fluorescent signals located at the cyan and yellow bands of the spectrum. A new device is presented based on multilayered a-SiC:H heterostructures to detect identical transient visible signals. The transducer consists of a p-i'(a-SiC:H)-n/p-i(a-Si:H)-n heterostructure optimized for the detection of the fluorescence resonance energy transfer between fluorophores with excitation in the violet (400 nm) and emissions in the cyan (470 nm) and yellow (588 nm) range of the spectrum. Results show that the device photocurrent signal measured under reverse bias and using appropriate steady state optical bias, allows the separate detection of the cyan and yellow fluorescence signals. (C) 2013 Elsevier B.V. All rights reserved.

Molecular imaging agents for detection of β-amyloid plaques in Alzheimer’s disease

The formation of amyloid structures is a neuropathological feature that characterizes several neurodegenerative disorders, such as Alzheimer´s and Parkinson´s disease. Up to now, the definitive diagnosis of these diseases can only be accomplished by immunostaining of post mortem brain tissues with dyes such Thioflavin T and congo red. Aiming at early in vivo diagnosis of Alzheimer´s disease (AD), several amyloid-avid radioprobes have been developed for b-amyloid imaging by positron emission tomography (PET) and single-photon emission computed tomography (SPECT). The aim of this paper is to present a perspective of the available amyloid imaging agents, special those that have been selected for clinical trials and are at the different stages of the US Food and Drugs Administration (FDA) approval.

Analysis and simulation of a-Si Ha-SiC HPINIP structures for color image detection

It is presented in this paper a study on the photo-electronic properties of multi layer a-Si: H/a-SiC: H p-i-n-i-p structures. This study is aimed to give an insight into the internal electrical characteristics of such a structure in thermal equilibrium, under applied Was and under different illumination condition. Taking advantage of this insight it is possible to establish a relation among-the electrical behavior of the structure the structure geometry (i.e. thickness of the light absorbing intrinsic layers and of the internal n-layer) and the composition of the layers (i.e. optical bandgap controlled through percentage of carbon dilution in the a-Si1-xCx: H layers). Showing an optical gain for low incident light power controllable by means of externally applied bias or structure composition, these structures are quite attractive for photo-sensing device applications, like color sensors and large area color image detector. An analysis based on numerical ASCA simulations is presented for describing the behavior of different configurations of the device and compared with experimental measurements (spectral response and current-voltage characteristic). (c) 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Automatic vehicle detection and classification

This paper presents a proposal for an automatic vehicle detection and classification (AVDC) system. The proposed AVDC should classify vehicles accordingly to the Portuguese legislation (vehicle height over the first axel and number of axels), and should also support profile based classification. The AVDC should also fulfill the needs of the Portuguese motorway operator, Brisa. For the classification based on the profile we propose:he use of Eigenprofiles, a technique based on Principal Components Analysis. The system should also support multi-lane free flow for future integration in this kind of environments.

An ultrasound based computer-aided diagnosis tool for steatosis detection

Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. In this paper, a new computer-aided diagnosis (CAD) system for steatosis classification, in a local and global basis, is presented. Bayes factor is computed from objective ultrasound textural features extracted from the liver parenchyma. The goal is to develop a CAD screening tool, to help in the steatosis detection. Results showed an accuracy of 93.33%, with a sensitivity of 94.59% and specificity of 92.11%, using the Bayes classifier. The proposed CAD system is a suitable graphical display for steatosis classification.

Global and local detection of liver steatosis from ultrasound

Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. Steatosis is usually a diffuse liver disease, since it is globally affected. However, steatosis can also be focal affecting only some foci difficult to discriminate. In both cases, steatosis is detected by laboratorial analysis and visual inspection of ultrasound images of the hepatic parenchyma. Liver biopsy is the most accurate diagnostic method but its invasive nature suggest the use of other non-invasive methods, while visual inspection of the ultrasound images is subjective and prone to error. In this paper a new Computer Aided Diagnosis (CAD) system for steatosis classification and analysis is presented, where the Bayes Factor, obatined from objective intensity and textural features extracted from US images of the liver, is computed in a local or global basis. The main goal is to provide the physician with an application to make it faster and accurate the diagnosis and quantification of steatosis, namely in a screening approach. The results showed an overall accuracy of 93.54% with a sensibility of 95.83% and 85.71% for normal and steatosis class, respectively. The proposed CAD system seemed suitable as a graphical display for steatosis classification and comparison with some of the most recent works in the literature is also presented.

Simulação, em software adequado, da sintomatologia vibracional de avarias mecânicas de máquinas rotativas

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica na Área de Manutenção e Produção

Caracterização e modelação de fissuras em edifícios utilizando 3D laser scanning, com vista à sua reabilitação

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil

Towards the detection of deception in interactive multimedia environments

A classical application of biosignal analysis has been the psychophysiological detection of deception, also known as the polygraph test, which is currently a part of standard practices of law enforcement agencies and several other institutions worldwide. Although its validity is far from gathering consensus, the underlying psychophysiological principles are still an interesting add-on for more informal applications. In this paper we present an experimental off-the-person hardware setup, propose a set of feature extraction criteria and provide a comparison of two classification approaches, targeting the detection of deception in the context of a role-playing interactive multimedia environment. Our work is primarily targeted at recreational use in the context of a science exhibition, where the main goal is to present basic concepts related with knowledge discovery, biosignal analysis and psychophysiology in an educational way, using techniques that are simple enough to be understood by children of different ages. Nonetheless, this setting will also allow us to build a significant data corpus, annotated with ground-truth information, and collected with non-intrusive sensors, enabling more advanced research on the topic. Experimental results have shown interesting findings and provided useful guidelines for future work. Pattern Recognition

Avaliação da exposição a fungos e partículas em explorações avícolas e suinícolas: estudo

O projeto “Avaliação da Exposição a Fungos e Partículas em Explorações Avícolas e Suinícolas” contemplou um elevado número de colheitas ambientais e biológicas e respectivo processamento laboratorial, sendo apenas possível a sua concretização graças ao financiamento disponibilizado pela Autoridade para as Condições de Trabalho. Foi realizado um estudo transversal para avaliar a contaminação causada por fungos e partículas em 7 explorações avícolas e 7 explorações suinícolas. No que concerne à monitorização biológica, foram medidos os parâmetros espirométricos, utilizando o espirómetro MK8 Microlab, avaliada a existência de sintomas clínicos associados com a asma e outras doenças alérgicas, através de questionário adaptado European Community Respiratory Health Survey e, ainda, avaliada a sensibilização aos agentes fúngicos (IgE). Foram ainda adicionados dois objetivos ao estudo, designadamente: aferir a existência de três espécies/estirpes potencialmente patogénicas/toxinogénicas com recurso à biologia molecular e avaliar a exposição dos trabalhadores à micotoxina aflatoxina B1 por recurso a indicador biológico de exposição. Foram colhidas 27 amostras de ar de 25 litros nas explorações avícolas e 56 de 50 litros nas explorações suinícolas através do método de impacto. As colheitas de ar e a medição da concentração das partículas foram realizadas no interior e no exterior dos pavilhões, sendo este último considerado como local de referência. Simultaneamente, a temperatura e a humidade relativa também foram registadas. As colheitas das superfícies foram realizadas através da técnica de zaragatoa, tendo sido utilizado um quadrado de metal inoxidável de 10 cm de lado, de acordo com a International Standard ISO 18593 – 2004. As zaragatoas obtidas (20 das explorações avícolas e 48 das explorações suinícolas) foram inoculadas em malte de extract agar (2%) com cloranfenicol (0,05 g/L). Além das colheitas de ar e de superfícies, foram também obtidas colheitas da cama das explorações avícolas (7 novas e 14 usadas) e da cobertura do pavimento das explorações suinícolas (3 novas e 4 usadas) e embaladas em sacos esterilizados. Cada amostra foi diluída e inoculada em placas contendo malte extract agar. Todas as amostras foram incubadas a 27,5ºC durante 5 a 7 dias e obtidos resultados quantitativos (UFC/m3; UFC/m2; UFC/g) e qualitativos com a identificação das espécies fúngicas. Para a aplicação dos métodos de biologia molecular foram realizadas colheitas de ar de 300 litros utilizando o método de impinger com a velocidade de recolha de 300 L/min. A identificação molecular de três espécies potencialmente patogénicas e/ou toxinogénicas (Aspergillus flavus, Aspergillus fumigatus e Stachybotrys chartarum) foram obtidas por PCR em tempo real (PCR TR) utilizando o Rotor-Gene 6000 qPCR Detection System. As medições de partículas foram realizadas por recurso a equipamento de leitura direta (modelo Lighthouse, 2016 IAQ). Este recurso permitiu medir a concentração (mg/m3) de partículas em 5 dimensões distintas (PM 0.5; PM 1.0; PM 2.5; PM 5.0; PM10). Nas explorações avícolas, 28 espécies/géneros de fungos foram isolados no ar, tendo Aspergillus versicolor sido a espécie mais frequente (20.9%), seguida por Scopulariopsis brevicaulis (17.0%) e Penicillium sp. (14.1%). Entre o género Aspergillus, Aspergillus flavus apresentou o maior número de esporos (>2000 UFC/m3). Em relação às superfícies, A. versicolor foi detetada em maior número (>3 × 10−2 UFC/m2). Na cama nova, Penicillium foi o género mais frequente (59,9%), seguido por Alternaria (17,8%), Cladosporium (7,1%) e Aspergillus (5,7%). Na cama usada, Penicillium sp. foi o mais frequente (42,3%), seguido por Scopulariopsis sp. (38,3%), Trichosporon sp. (8,8%) e Aspergillus sp. (5,5%). Em relação à contaminação por partículas, as partículas com maior dimensão foram detectadas em maiores concentrações, designadamente as PM5.0 (partículas com a dimensão de 5.0 bm ou menos) e PM10 (partículas com a dimensão de 10 bm ou menos). Neste setting a prevalência da alteração ventilatória obstrutiva foi superior nos indivíduos com maior tempo de exposição (31,7%) independentemente de serem fumadores (17,1%) ou não fumadores (14,6%). Relativamente à avaliação do IgE específico, foi apenas realizado em trabalhadores das explorações avícolas (14 mulheres e 33 homens), não tendo sido encontrada associação positiva (p<0.05%) entre a contaminação fúngica e a sensibilização a antigénios fúngicos. No caso das explorações suinícolas, Aspergillus versicolor foi a espécie mais frequente (20,9%), seguida por Scopulariopsis brevicaulis (17,0%) e Penicillium sp. (14,1%). No género Aspergillus, A. versicolor apresentou o maior isolamento no ar (>2000 UFC/m3) e a maior prevalência (41,9%), seguida por A. flavus e A. fumigatus (8,1%). Em relação às superfícies analisadas, A. versicolor foi detetada em maior número (>3 ×10−2 UFC/m2). No caso da cobertura do pavimento das explorações suinícolas, o género Thicoderma foi o mais frequente na cobertura nova (28,0%) seguida por A. versicolor e Acremonium sp. (14,0%). O género Mucor foi o mais frequente na cobertura usada (25,1%), seguido por Trichoderma sp. (18,3%) e Acremonium sp. (11,2%). Relativamente às partículas, foram evidenciados também valores mais elevados na dimensão PM5 e, predominantes nas PM10. Neste contexto, apenas 4 participantes (22,2%) apresentaram uma alteração ventilatória obstrutiva. Destes, as obstruções mais graves encontraram-se nos que também apresentavam maior tempo de exposição. A prevalência de asma na amostra de trabalhadores em estudo, pertencentes aos 2 contextos em estudo, foi de 8,75%, tendo-se verificado também uma prevalência elevada de sintomatologia respiratória em profissionais não asmáticos. Em relação à utilização complementar dos métodos convencionais e moleculares, é recomendável que a avaliação da contaminação fúngica nestes settings, e, consequentemente, a exposição profissional a fungos, seja suportada pelas duas metodologias e, ainda, que ocorre exposição ocupacional à micotoxina aflatoxina B1 em ambos os contextos profissionais. Face aos resultados obtidos, é importante salientar que os settings alvo de estudo carecem de uma intervenção integrada em Saúde Ocupacional no âmbito da vigilância ambiental e da vigilância da saúde, com o objetivo de diminuir a exposição aos dois factores de risco estudados (fungos e partículas).

Road lane detection for autonomous robot guidance

Computational Vision stands as the most comprehensive way of knowing the surrounding environment. Accordingly to that, this study aims to present a method to obtain from a common webcam, environment information to guide a mobile differential robot through a path similar to a roadway.

Concrete with fine recycled aggregates: a review

This paper presents a review of the literature published so far on the use of fine aggregates from construction demolition waste used as a partial or total replacement of fine natural aggregates in concrete production. The review presents the initial works on this subject and an overview of the existing regulations. It goes on to describe the production, treatment and properties of the fine recycled aggregates (FRA). The most suitable mixing techniques for concrete with this type of aggregates are then discussed. The properties of these concrete mixes are analysed in detail, after which a few examples of structures with this type of concrete are described and compared. The acquisition of fine natural aggregates and the dumping of the fine fraction of construction and demolition waste are two serious environmental problems that can be solved simultaneously by using FRA in concrete production, a subject that is lagging behind the use of the corresponding coarse fraction.

Influence of the use of recycled concrete aggregates from different sources on structural concrete

This paper intends to evaluate the capacity of producing concrete with a pre-established performance (in terms of mechanical strength) incorporating recycled concrete aggregates (RCA) from different sources. To this purpose, rejected products from the precasting industry and concrete produced in laboratory were used. The appraisal of the self-replication capacity was made for three strength ranges: 15-25 MPa, 35-45 MPa and 65-75 MPa. The mixes produced tried to replicate the strength of the source concrete (SC) of the RA. Only total, (100%) replacement of coarse natural aggregates (CNA) by coarse recycled concrete aggregates (CRCA) was tested. The results show that, both in mechanical and durability terms, there were no significant differences between aggregates from controlled sources and those from precast rejects for the highest levels of the target strength. Furthermore, the performance losses resulting from the RA's incorporation are substantially reduced when used medium or high strength SC's. (C) 2014 Elsevier Ltd. All rights reserved.

Performance of concrete made with aggregates recycled from precasting industry waste: influence of the crushing process

The aim of this paper is to evaluate the influence of the crushing process used to obtain recycled concrete aggregates on the performance of concrete made with those aggregates. Two crushing methods were considered: primary crushing, using a jaw crusher, and primary plus secondary crushing (PSC), using a jaw crusher followed by a hammer mill. Besides natural aggregates (NA), these two processes were also used to crush three types of concrete made in laboratory (L20, L45 e L65) and three more others from the precast industry (P20, P45 e P65). The coarse natural aggregates were totally replaced by coarse recycled concrete aggregates. The recycled aggregates concrete mixes were compared with reference concrete mixes made using only NA, and the following properties related to the mechanical and durability performance were tested: compressive strength; splitting tensile strength; modulus of elasticity; carbonation resistance; chloride penetration resistance; water absorption by capillarity; water absorption by immersion; and shrinkage. The results show that the PSC process leads to better performances, especially in the durability properties. © 2014 RILEM

Interference detection in GNSS signals using Gaussianity criterion

We assess the performance of Gaussianity tests, namely the Anscombe-Glynn, Lilliefors, Cramér-von Mises, and Giannakis-Tsatsanis (G-T), with the purpose of detecting narrowband and wideband interference in GNSS signals. Simulations have shown that the G-T test outperforms the others being suitable as a benchmark for comparison with different types of interference detection algorithms. © 2014 EURASIP.