Three transducers for one photodetector: essays for optical communications

Dissertation presented to obtain the PhD degree in Electrical and Computer Engineering - Electronics

Autonomous behaviors for an unmanned mini-aerial vehicle

This thesis aims at addressing the development of autonomous behaviors, for search and exploration with a mini-UAV (Unmanned Aerial Vehicle), or also called MAV (Mini Aerial Vehicle) prototype, in order to gather information in rescue scenarios. The platform used in this work is a four rotor helicopter, known as quad-rotor from the German company Ascending Technologies GmbH, which is later assembled with a on-board processing unit (i.e. a tiny light weight computer) and a on-board sensor suite (i.e. 2D-LIDAR and Ultrasonic Sonar). This work can be divided into two phases. In the first phase an Indoor Position Tracking system was settled in order to obtain the Cartesian coordinates (i.e. X, Y, Z) and orientation (i.e.heading) which provides the relative position and orientation of the platform. The second phase was the design and implementation of medium/high level controllers on each command input in order to autonomously control the aircraft position, which is the first step towards an autonomous hovering flight, and any autonomous behavior (e.g. Landing, Object avoidance, Follow the wall). The main work is carried out in the Laboratory ”Intelligent Systems for Emergencies and Civil Defense”, in collaboration with ”Dipartimento di Informatica e Sistemistica” of Sapienza Univ. of Rome and ”Istituto Superiore Antincendi” of the Italian Firemen Department.

Role of ß-lactamase operon on mecA expression in Staphylococcus aureus

RESUMO: Os Staphylococcus aureus resistentes à meticilina (MRSA, do inglês “methicillin-resistant Staphylococcus aureus”) são um dos principais agentes responsáveis por infeções hospitalares. Os MRSA são resistentes a praticamente todos os antibióticos β-lactâmicos devido a dois mecanismos principais: produção de β-lactamase (bla), codificada pelo gene blaZ, e produção de uma proteína de ligação à penicilina (PBP2a, do inglês “penicillin binding protein 2”), codificada pelo gene mecA. Estes dois genes são regulados por sistemas homólogos, constituídos por um sensor-transdutor (BlaR1 e MecR1) e um repressor (BlaI e MecI), de tal modo que ambos os sistemas são capazes de co-regular os genes mecA e blaZ, embora com eficiências de indução muito diferentes. De facto, a indução mediada pelo sistema mecI-mecR1 é tão lenta que se acredita que este sistema não está funcional na maioria das estirpes MRSA. No entanto, dados recentes do nosso laboratório, demonstram a ausência de relação entre a presença do gene mecI e o nível de resistência à meticilina em estirpes MRSA epidémicas, e também que, o fenótipo de resistência da grande maioria das estirpes não é perturbado pela sobre-expressão em trans do repressor mecI. Curiosamente, as duas estirpes em que a expressão da resistência foi afetada pela sobre-expressão do mecI são negativas para o locus da β-lactamase, o que sugere que este locus pode interferir diretamente com a repressão do gene mecA mediada pelo MecI. Nesta tese de mestrado esta hipótese foi explorada usando estratégias de biologia molecular e ensaios fenotípicos da resistência aos -lactâmicos. Os resultados obtidos demonstram que a presença do plasmídeo nativo da β-lactamase não só anula a repressão mediada pelo MecI, como também aumenta o nível de resistência das estirpes parentais. Várias hipóteses foram então formuladas para explicar estas observações. Dados preliminares, em conjunto com evidências experimentais publicadas, sugerem que o BlaI forma hetero-dímeros com o MecI que, após a indução, são inativados eficientemente pelo BlaR1. Em conclusão, estes resultados apresentam novas perspetivas para o mecanismo de regulação do mecA e para uma nova importante função do operão da β-lactamase para o fenótipo das estirpes MRSA.-------------------ABSTRACT: Methicillin-resistant Staphylococcus aureus (MRSA) is an important nosocomial pathogen and is also emerging in the community. MRSA is cross-resistant to virtually all β-lactam antibiotics and has acquired two main resistance mechanisms: production of β-lactamase (bla), coded by blaZ, and production of penicillin binding protein 2a (PBP2a), coded by mecA. Both genes are regulated by homologous sensor-transducers (BlaR1 and MecR1) and repressors (BlaI and MecI), and coregulation of mecA and blaZ by both systems has been demonstrated, although with remarkable different efficiencies. In fact, induction of mecA by mecI-mecR1 is so slow that it is believed it is not functional in most MRSA strains. However, recent data from our laboratory has unexpectedly demonstrated that not only there is no correlation between the presence of mecI gene and the resistance level in epidemic MRSA strains, but also that for most strains there were no significant changes on the resistance phenotype upon the mecI overexpression in trans. Interestingly, the two strains in which mecI overexpression affected the resistance expression were negative for the bla locus, suggesting that this locus may interfere directly with the MecI-mediated repression of mecA and account for those puzzling observations. In this master thesis we have explored this hypothesis using molecular biology strategies and phenotypic analysis of -lactam resistance. The data obtained demonstrate that the presence of a wild-type plasmid containing the bla locus not only disrupts the MecImediated repression, but also significantly enhances the expression of resistance. Several preliminary hypotheses were formulated to explain these observations and preliminary data, together with published evidence, support the working model that BlaI forms functional hetero-dimers with MecI, which upon induction are readily inactivated by BlaR1. These results provide new insights into the regulatory mechanism(s) of mecA and open new perspectives for the role of β-lactamase operon in the MRSA phenotype.

Nitrite biosensing via selective enzymes—a long but promising route

Sensors 2010, 10, 11530-11555

Image processing for displacement measurements

Since the invention of photography humans have been using images to capture, store and analyse the act that they are interested in. With the developments in this field, assisted by better computers, it is possible to use image processing technology as an accurate method of analysis and measurement. Image processing's principal qualities are flexibility, adaptability and the ability to easily and quickly process a large amount of information. Successful examples of applications can be seen in several areas of human life, such as biomedical, industry, surveillance, military and mapping. This is so true that there are several Nobel prizes related to imaging. The accurate measurement of deformations, displacements, strain fields and surface defects are challenging in many material tests in Civil Engineering because traditionally these measurements require complex and expensive equipment, plus time consuming calibration. Image processing can be an inexpensive and effective tool for load displacement measurements. Using an adequate image acquisition system and taking advantage of the computation power of modern computers it is possible to accurately measure very small displacements with high precision. On the market there are already several commercial software packages. However they are commercialized at high cost. In this work block-matching algorithms will be used in order to compare the results from image processing with the data obtained with physical transducers during laboratory load tests. In order to test the proposed solutions several load tests were carried out in partnership with researchers from the Civil Engineering Department at Universidade Nova de Lisboa (UNL).