Caracterização de estirpes Mycobacterium Tuberculosis da família Lisboa: análise de regiões de diferença e single nucleotide polymorphisms

Dissertação apresentada para a obtenção do Grau de Mestre em Genética Molecular e Biomedicina, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Purification of complex biopharmaceuticals with new processes, advanced analytics and computer-aided process design tools

Dissertação para obtenção do Grau de Mestre em Biotecnologia

A nanopore-based stochastic detection method: Single molecule characterisation of nanoparticles using ()- hemolysin

Dissertation presented to obtain the Ph.D degree in Chemistry.

Heterogeneous computing with an algorithmic skeleton framework

The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the potential of a system comprising GPUs and CPUs, these devices should be presented to the programmer as a single platform. The efficient combination of the power of CPU and GPU devices is highly dependent on each device’s characteristics, resulting in platform specific applications that cannot be ported to different systems. Also, the most efficient work balance among devices is highly dependable on the computations to be performed and respective data sizes. In this work, we propose a solution for heterogeneous environments based on the abstraction level provided by algorithmic skeletons. Our goal is to take full advantage of the power of all CPU and GPU devices present in a system, without the need for different kernel implementations nor explicit work-distribution.To that end, we extended Marrow, an algorithmic skeleton framework for multi-GPUs, to support CPU computations and efficiently balance the work-load between devices. Our approach is based on an offline training execution that identifies the ideal work balance and platform configurations for a given application and input data size. The evaluation of this work shows that the combination of CPU and GPU devices can significantly boost the performance of our benchmarks in the tested environments, when compared to GPU-only executions.

Caracterização de múltiplos polimorfismos de Pneumocystis Jirovecii por multiplex-PCR/Single base extension

Pneumocystis jirovecii é conhecido por causar infecções específicas no aparelho respiratório de seus hospedeiros, principalmente em doentes imunocomprometidos, manifestando-se por uma pneumonia grave e por vezes fatal, normalmente designada por pneumonia por Pneumocystis. A caracterização da diversidade genética de P. jirovecii tem demonstrado que determinados polimorfismos de base única poderão ser reconhecidos como marcadores moleculares de eleição para o estudo da distribuição geográfica, vias de transmissão, resistência/susceptibilidade a fármacos, factores de virulência e genética populacional de subtipos genéticos. Este estudo teve como objectivo a caracterização de polimorfismos de P. jirovecii, através da metodologia PCR multiplex/Extensão de base única (do inglês single base extension), com a principal finalidade de constatar eventuais associações entre polimorfismos de base única, genótipos multilocus, e dados clínicos e demográficos da infecção. Sessenta e seis espécimes pulmonares, previamente considerados positivos para P. jirovecii, obtidos entre 2001 e 2012, a partir de doentes portugueses imunocomprometidos, foram seleccionados de forma aleatória para este estudo multilocus. PCR multiplex foi utilizada para a amplificação simultânea de três regiões genómicas: subunidade grande do rRNA mitocondrial, superóxido dismutase e dihidropteroato sintetase. Cinco polimorfismos de base única, previamente correlacionados com parâmetros da doença, foram genotipados por extensão de base única: mt85, SOD110, SOD215, DHPS165 e DHPS171. Um total de 330 polimorfismos de base única e 29 genótipos multilocus putativos de P. jirovecii foram identificados e caracterizados nos espécimes pulmonares analisados. Os padrões de distribuição dos polimorfismos foram analisados, sendo considerada a variação temporal e/ou geográfica das suas formas alélicas. Constatou-se grande diversidade genotípica entre os isolados de P. jirovecii que poderá ter influência a nível epidemiológico. Foram observadas associações estatísticas entre mt85/genótipos multilocus e parâmetros demográficos e clínicos. A correlação mais importante verificou-se entre mt85C e cargas parasitárias baixas a moderadas, enquanto mt85T foi associado com cargas parasitárias altas; MLG5, MLG9 e MLG13 foram associados com cargas parasitárias baixas, moderadas e altas, respectivamente. Tais associações demonstram que potenciais marcadores moleculares da infecção por P. jirovecii poderão existir e que polimorfismos/genótipos específicos poderão determinar perfis epidemiológicos da pneumonia por Pneumocystis. A análise genética cruzada permitiu verificar associações entre polimorfismos de base única. Os polimorfismos SOD110T e SOD215C, SOD110C e SOD215T, DHPS165A e DHPS171C, DHPS165G e DHPS171T foram associados estatisticamente. Os genótipos multilocus mais prevalentes foram considerados para o teste recombinatório d1. Dois genótipos multilocus (MLG7 e MLG9) foram observados com elevada frequência, e a análise genética indicou que estes se encontravam sobre-representados na população de P. jirovecii estudada. Estas evidências indicam que o fenómeno de desequilíbrio de ligação e a propagação clonal de subtipos genéticos é frequente, considerando que a espécie P. jirovecii poderá ser representada por uma população com estrutura epidémica. O presente trabalho confirmou a importância do estudo de polimorfismos em P. jirovecii, sugerindo que a caracterização multilocus poderá fornecer informação relevante para a compreensão dos padrões, causas e controlo da infecção, melhorando assim a investigação deste importante patogéneo.

Gas tungsten arc welding of NiTi shape memory alloy

Shape memory alloys are characterized by the ability of recovering their initial shape after being deformed and by superelasticity. Since the discovery of these alloys, a new field of interest emerged not only for the scientific community but also to many industries. However, these alloys present poor machinability which constitute a constrain in the design of complex components for new applications. Thus, the demand for joining techniques able to join these alloys without compromising their properties became of great importance to enlarge the complexity of existing applications. Literature shows that these alloys are joined mainly using laser welding. In the present study, similar NiTi butt joints, were produced using TIG welding. The welds were performed in 1.5 mm thick plates across the rolling direction. A special fixture and gas assist device was designed and manufactured. Also a robot arm was adapted to accommodate the welding torch to assure the repeatability of the welding parameters. Welds were successfully achieved without macroscopic defects, such as pores and distortions. Very superficial oxidation was seen on the top surface due to insufficient shielding gas flow on the weld face. The welded joints were mechanically tested and structurally characterized. Testing methods were used to evaluate macro and microstructure, as well as the phase transformation temperatures, the mechanical single and cyclic behaviour and the shape recovery ability. Differential Scanning Calorimetry (DSC), Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS), microhardness measurements were techniques also used to evaluate the welded joints. A depletion in Ni in the fusion zone was seen, as well as a shift in Ms temperature. For strain values of 4% the accumulated irrecoverable strain was of about 30% and increased with the strain imposed during cycling. Nevertheless, a complete recovery of initial shape was observed when testing the shape memory effect on a dedicated device that introduces a deformation of 6.7%. That is, the welding procedure does not remove the ability of the specimens to recover their initial shape.

Board independence and innovation

Legislation introduced in the U.S. in 2002/2003 significantly changed board composition of public firms by imposing a 50% independent directors’ ratio. Research on the effect of independent directors is not consensual, implying that this exogenous shock is a unique opportunity to study their importance. This study answers the question of whether or not independent directors can effectively mitigate agency conflicts between shareholders and the management, having a positive impact on the choice of successful R&D projects. We find that an increase of board independence has a positive impact on patent counts. Hence, the results support that independent directors truly spur innovation and risk taking.

NAV Portugal's performance within the single European Sky Initiative

NAV Portugal is the Air Navigation Service Provider in Portugal, providing air traffic control services in the airspace under the country’s responsibility. Recently, the company has been included in an initiative launched by the European Commission, called the Single European Sky. This aims for a unification of the European airspace, improving it in four main pillars: safety, capacity, environment, and cost-efficiency. To each of them, Key Performance Indicators need to be computed and monitored, all having pre-defined targets. The presented work project will be analyzing how NAV Portugal is doing in the pillar of capacity, proving suggestions if needed.

Control of a white organic light emitting diode’s emission parameters using a single doped RGB active layer

White Color tuning is an attractive feature that Organic Light Emitting Diodes (OLEDs) offer. Up until now, there hasn’t been any report that mix both color tuning abilities with device stability. In this work, White OLEDs (W-OLEDs) based on a single RGB blend composed of a blue emitting N,N′-Di(1-naphthyl)-N,N′-diphenyl-(1,1′-biphenyl)-4,4′-diamine (NPB) doped with a green emitting Coumarin-153 and a red emitting 4-(Dicyanomethylene)-2-methyl-6-(4-dimethylaminostyryl)-4H-pyran (DCM1) dyes were produced. The final device structure was ITO/Blend/Bathocuproine (BCP)/ Tris(8-hydroxyquinolinato)aluminium (Alq3)/Al with an emission area of 0.25 cm2. The effects of the changing in DCM1’s concentration (from 0.5% to 1% wt.) allowed a tuning in the final white color resulting in devices capable of emitting a wide range of tunes – from cool to warm – while also keeping a low device complexity and a high stabilitty. Moreover, an explanation on the optoelectrical behavior of the device is presented. The best electroluminescense (EL) points toward 160 cd/m2 of brightness and 1.1 cd/A of efficiency, both prompted to being enhanced. An Impedance Spectroscopy (IS) analysis allowed to study both the effects of BCP as a Hole Blocking Layer and as an aging probe of the device. Finally, as a proof of concept, the emission was increased 9 and 64 times proving this structure can be effectively applied for general lighting.

The impact of the Board of Director's composition on companies performance

The impact of the Board of Directors’ composition on companies’ performance This paper studies the impact that the board of directors’ composition has on companies’ performance in the Italian market. The research has been carried out by using a sample of 10 Italian companies, across different market sectors, over a period of 10 years (2005-2014). The characteristics of the BoD taken into consideration are the following: board size, board diversity (% of female directors), board independence and CEO duality. Results from the sample data collected concluded that these factors have a statistically significant impact on the performance of the companies that have been analysed.

Scaling In-Memory databases on multicores

Current computer systems have evolved from featuring only a single processing unit and limited RAM, in the order of kilobytes or few megabytes, to include several multicore processors, o↵ering in the order of several tens of concurrent execution contexts, and have main memory in the order of several tens to hundreds of gigabytes. This allows to keep all data of many applications in the main memory, leading to the development of inmemory databases. Compared to disk-backed databases, in-memory databases (IMDBs) are expected to provide better performance by incurring in less I/O overhead. In this dissertation, we present a scalability study of two general purpose IMDBs on multicore systems. The results show that current general purpose IMDBs do not scale on multicores, due to contention among threads running concurrent transactions. In this work, we explore di↵erent direction to overcome the scalability issues of IMDBs in multicores, while enforcing strong isolation semantics. First, we present a solution that requires no modification to either database systems or to the applications, called MacroDB. MacroDB replicates the database among several engines, using a master-slave replication scheme, where update transactions execute on the master, while read-only transactions execute on slaves. This reduces contention, allowing MacroDB to o↵er scalable performance under read-only workloads, while updateintensive workloads su↵er from performance loss, when compared to the standalone engine. Second, we delve into the database engine and identify the concurrency control mechanism used by the storage sub-component as a scalability bottleneck. We then propose a new locking scheme that allows the removal of such mechanisms from the storage sub-component. This modification o↵ers performance improvement under all workloads, when compared to the standalone engine, while scalability is limited to read-only workloads. Next we addressed the scalability limitations for update-intensive workloads, and propose the reduction of locking granularity from the table level to the attribute level. This further improved performance for intensive and moderate update workloads, at a slight cost for read-only workloads. Scalability is limited to intensive-read and read-only workloads. Finally, we investigate the impact applications have on the performance of database systems, by studying how operation order inside transactions influences the database performance. We then propose a Read before Write (RbW) interaction pattern, under which transaction perform all read operations before executing write operations. The RbW pattern allowed TPC-C to achieve scalable performance on our modified engine for all workloads. Additionally, the RbW pattern allowed our modified engine to achieve scalable performance on multicores, almost up to the total number of cores, while enforcing strong isolation.

Targeting Heme with Single Domain Antibodies

Heme, i.e. iron (Fe) protoporphyrin IX, functions as a prosthetic group in a variety of hemoproteins that participate in vital biologic functions essential to sustain life. Heme is a highly reactive molecule, participating in redox reactions, and presumably for this reason it must be sequestered within the heme pockets of hemoproteins, controlling its reactivity. However, under biological stress conditions, hemoproteins can release their prosthetic groups, generating “free heme”, which binds loosely to proteins or to other molecules and presumably acquires unfettered redox activity. Moreover, a growing body of evidence supports the notion that “free heme” can act in a vasoactive, pro-inflammatory and cytotoxic manner when released from a subset of these hemoproteins, such as extracellular hemoglobin, generated during hemolytic conditions. (...)