Development of a "green process" for the isolation of natural functional extracts with anti-cancer activity - Application of high-pressure technology

Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

A knowledge-based framework to facilitate E-training implementation

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores

Development of a satellite based PM10 concentration product for urban areas

Dissertação para obtenção do Grau de Doutor em Engenharia do Ambiente

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.

A framework for efficient model transformations

The reported productivity gains while using models and model transformations to develop entire systems, after almost a decade of experience applying model-driven approaches for system development, are already undeniable benefits of this approach. However, the slowness of higher-level, rule based model transformation languages hinders the applicability of this approach to industrial scales. Lower-level, and efficient, languages can be used but productivity and easy maintenance seize to exist. The abstraction penalty problem is not new, it also exists for high-level, object oriented languages but everyone is using them now. Why is not everyone using rule based model transformation languages then? In this thesis, we propose a framework, comprised of a language and its respective environment, designed to tackle the most performance critical operation of high-level model transformation languages: the pattern matching. This framework shows that it is possible to mitigate the performance penalty while still using high-level model transformation languages.

Functional and structural studies of a mini-ferritin protein

Dissertação para obtenção do Grau de Mestre em Bioquímica

Exposição profissional ao chumbo : análise da indução de efeitos genotóxicos

RESUMO - A exposição contínua a substâncias químicas tem consequências para a saúde humana, algumas das quais não estão ainda totalmente estabelecidas. A toxicologia ocupacional é uma área interdisciplinar que envolve conhecimentos de higiene e de medicina ocupacional, de epidemiologia e de toxicologia e que tem por principal objectivo prevenir a ocorrência de efeitos adversos decorrentes do ambiente ocupacional sendo um dos seus principais papéis fornecer o máximo de dados que possam contribuir para o conhecimento dos potenciais efeitos na saúde. O chumbo é um tóxico de características cumulativas que provoca na saúde efeitos principalmente sistémicos, ou seja, o efeito tóxico manifesta-se em locais afastados do contacto inicial que resultam essencialmente de exposições crónicas, resultantes de períodos de exposição mais ou menos longos ao metal (entre meses e anos). Pode interagir com diferentes órgãos e tecidos, ligando-se a moléculas e constituintes celulares. Uma vez que não possui qualquer função fisiológica, a presença do chumbo no organismo humano resulta numa série de efeitos prejudiciais que afectam diversos órgãos e sistemas. A toxicidade do chumbo manifesta-se em diversos órgãos e tecidos, nomeadamente no sistema hematopoiético, no sistema nervoso, no rim, no aparelho reprodutor, no sistema cardiovascular, no sistema endócrino e no sistema imunitário. Da interferência do chumbo com o funcionamento de alguns sistemas biológicos resultam um conjunto de alterações fundamentais ao nível dos processos de transporte através das membranas, da integridade estrutural e funcional das enzimas e de várias vias metabólicas, em especial da fosforilação oxidativa e da síntese do heme sendo os primeiros efeitos bioquímicos do chumbo detectados a partir de valores de plumbémia inferiores a 10 μg/dL. As medidas de higiene e segurança actualmente em vigor nos países desenvolvidos asseguram que os casos de intoxicação grave são cada vez menos frequentes. No entanto, o risco de exposição a nível ocupacional existe em todas as actividades que envolvem materiais que o contenham como as explorações mineiras, as fundições primária e secundária, a produção de baterias de chumbo ácido, a produção de vidro com pigmentos de chumbo, as soldaduras de reparação automóvel e a instrução de tiro. Desde 2006 o chumbo é considerado pela International Agency for Research on Cancer (IARC) uma substância carcinogénica do grupo 2A (provável carcinogénio para o ser humano). Considera-se, assim, que o chumbo tem, inequivocamente, capacidade de induzir cancro em animais experimentais mas que, embora haja fortes indícios de que os mecanismos que medeiam a carcinogénese desses compostos ocorrem no ser humano, os dados disponíveis ainda não podem assegurar essa relação. Com este estudo pretendeu-se contribuir para o conhecimento da toxicidade do chumbo através do estudo da exposição ao chumbo e da influência da susceptibilidade individual (em industrias sem co-exposição significativa a outros agentes conhecidos ou suspeitos de serem carcinogénicos). Pretendeu-se estudar o caso através de uma abordagem múltipla que permitisse relacionar diferentes tipos de marcadores biológicos uma vez que a monitorização biológica integra todas as possíveis vias de entrada no organismo (para além da via respiratória), eventuais exposições fora do contexto estritamente profissional assim como uma série de factores intrínsecos individuais (relacionados com modos de via, de natureza fisiológica e comportamentais). Sendo a co-exposição a outros compostos com propriedades genotóxicas e carcinogénicas uma questão difícil de tornear quando se quer avaliar o potencial genotóxico do chumbo em populações expostas, ocupacional ou ambientalmente este estudo tem a vantagem de ter sido efectuado em populações sem co-exposição conhecida a outras substâncias deste tipo, permitindo concluir sobre os efeitos resultantes apenas da exposição a chumbo na população humana, contribuindo para explicar algumas das aparentes inconsistências e contradições entre diferentes estudos sobre este tema. Os indicadores de exposição usados foram: indicadores de dose interna (doseamento de chumbo e de PPZ no sangue), indicadores de efeitos adversos no heme e genotóxicos (actividade da ALAD, teste do cometa e mutação em TCR) e indicadores de susceptibilidade (polimorfismos genéticos de ALAD e VDR) através de uma abordagem estatística de comparação directa de sub-grupos previamente definidos na população e da aplicação de um modelo de regressão múltipla. Este estudo revelou que os níveis de plumbémia na população portuguesa baixaram significativamente nos últimos 10 anos, tanto na população ocupacionalmente exposta como na população em geral e que a presença do genótipo B-B (do gene VDR) é preditiva das variações de plumbémia, quando comparada com o genótipo mais frequente na população, B-b; ao contrário, o genótipo b-b não aparenta ter influência em nenhum dos marcadores estudados. No que diz respeito a efeitos genotóxicos concluiu-se que estes não se manifestaram na população estudada, levando a concluir que nos níveis de exposição estudados, o chumbo não tem capacidade de induzir este tipo de efeitos per si levando ao reforço da hipótese, já levantada por outros autores, de que o mecanismo de genotoxicidade do chumbo seja essencialmente de promoção de processos de genotoxicidade desencadeados por outros agentes. A realização de estudos de efeitos genotóxicos e de stress oxidativo desenhados de forma a comparar grupos de trabalhadores expostos apenas a chumbo com grupos de trabalhadores com o mesmo nível de exposição a chumbo, mas com co-exposição a outros agentes reconhecidamente carcinogénicos poderá ajudar a aumentar o conhecimento deste efeito do chumbo na saúde humana.

Structural and functional characterization of ModA and TupA proteins belonging to the molybdate and tungstate transport system from desulfovibrio alaskensis G20

Fundação para a Ciência e Tecnologia - EXPL/BBB-BEP/0274/2012

Genetic and functional analysis of the bacillus subtilis BSP1 gam cluster

Mannans (linear mannan, glucomannan, galactomannan and galactoglucomannan) are the major constituents of the hemicellulose fraction in softwoods and show great importance as a renewable resource for fuel or feedstock applications. As complex polysaccharides, mannans can only be degraded through a synergistic action of different mannan-degrading enzymes, mannanases. Microbial mannanases are mainly extracellular enzymes that can act in wide range of pH and temperature, contributing to pulp and paper, pharmaceutical, food and feed, oil and textile successful industrial applications. Knowing and controlling these microbial mannan-degrading enzymes are essential to take advantage of their great biotechnological potential. The genome of the laboratory 168 strain of Bacillus subtilis carries genes gmuA-G dedicated to the degradation and utilization of glucomannan, including an extracellular -mannanase. Recently, the genome sequence of an undomesticated strain of B. subtilis, BSP1, was determined. In BSP1, the gmuA-G operon is maintained, interestingly, however, a second cluster of genes was found (gam cluster), which comprise a second putative extracellular β-mannanase, and most likely specify a system for the degradation and utilization of a different mannan polymer, galactoglucomannan. The genetic organization and function of the gam cluster, and whether its presence in BSP1 strain results in new hemicellulolytic capabilities, compared to those of the laboratory strain, was address in this work. In silico and in vivo mRNA analyses performed in this study revealed that the gam cluster, comprising nine genes, is organized and expressed in at least six different transcriptional units. Furthermore, cloning, expression, and production of Bbsp2923 in Escherichia coli was achieved and preliminary characterization shows that the enzyme is indeed a β-mannanase. Finally, the high hemicellulolytic capacity of the undomesticated B. subtilis BSP1, demonstrated in this work by qualitative analyses, suggests potential to be used in the food and feed industries.

Structural and functional studies of a high activity NiFeSe Hydrogenase

Theawareness that fossil fuels exist in limited quantities has stimulated research into energy production from renewable sources. Future energy sources! should! be! plentiful! with! negligible! impact! on! the! environment.! Hydrogen!has!the!potential!to!satisfy!these!requirements.!Nevertheless,!current! methods! of! H2! production! rely! on! nonOrenewable! resources.! Biological! H2! production! from! sunlight! or! biomass! is! an! appealing! alternative! to! current! production!methods.!!(...)

A new MDA-SOA based framework for intercloud interoperability

Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.

Towards an algorithmic skeleton framework for programming the Intel R Xeon PhiTM processor

The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architecture. It is a co-processor specially tailored for data-parallel computations, whose basic architectural design is similar to the ones of GPUs (Graphics Processing Units), leveraging the use of many integrated low computational cores to perform parallel computations. The main novelty of the MIC architecture, relatively to GPUs, is its compatibility with the Intel x86 architecture. This enables the use of many of the tools commonly available for the parallel programming of x86-based architectures, which may lead to a smaller learning curve. However, programming the Xeon Phi still entails aspects intrinsic to accelerator-based computing, in general, and to the MIC architecture, in particular. In this thesis we advocate the use of algorithmic skeletons for programming the Xeon Phi. Algorithmic skeletons abstract the complexity inherent to parallel programming, hiding details such as resource management, parallel decomposition, inter-execution flow communication, thus removing these concerns from the programmer’s mind. In this context, the goal of the thesis is to lay the foundations for the development of a simple but powerful and efficient skeleton framework for the programming of the Xeon Phi processor. For this purpose we build upon Marrow, an existing framework for the orchestration of OpenCLTM computations in multi-GPU and CPU environments. We extend Marrow to execute both OpenCL and C++ parallel computations on the Xeon Phi. We evaluate the newly developed framework, several well-known benchmarks, like Saxpy and N-Body, will be used to compare, not only its performance to the existing framework when executing on the co-processor, but also to assess the performance on the Xeon Phi versus a multi-GPU environment.

Smart-RBAC

Generally, smart campus applications do not consider the role of the user with his/her position in a university environment, consequently irrelevant information is delivered to the users. This dissertation proposes a location-based access control model, named Smart-RBAC, extending the functionality of Role-based Access Control Model (RBAC) by including user’s location as the contextual attribute, to solve the aforementioned problem. Smart-RBAC model is designed with a focus on content delivery to the user in order to offer a feasible level of flexibility, which was missing in the existing location-based access control models. An instance of the model, derived from Liferay’s RBAC, is implemented by creating a portal application to test and validate the Smart-RBAC model. Additionally, portlet-based applications are developed to assess the suitability of the model in a smart campus environment. The evaluation of the model, based on a popular theoretical framework, demonstrates the model’s capability to achieve some security goals like “Dynamic Separation of Duty” and “Accountability”. We believe that the Smart-RBAC model will improve the existing smart campus applications since it utilizes both, role and location of the user, to deliver content.

Functional genomic analysis of heat stress in Vitis vinifera

Grapevine (Vitis vinifera) is one of most agro-economically important fruit crops worldwide, with a special relevance in Portugal where over 300 varieties are used for wine production. Due to global warming, temperature stress is currently a serious issue affecting crop production especially in temperate climates. Mobile genetic elements such as retrotransposons have been shown to be involved in environmental stress induced genetic and epigenetic modifications. In this study, sequences related to Grapevine Retrotransposon 1 (Gret1) were utilized to determine heat induced genomic and transcriptomic modifications in Touriga Nacional, a traditional Portuguese grapevine variety. For this purpose, growing canes were treated to 42 oC for four hours and leaf genomic DNA and RNA was utilized for various techniques to observe possible genomic alterations and variation in transcription levels of coding and non-coding sequences between non-treated plants and treated plants immediately after heat stress (HS-0 h) or after a 24 hour recovery period (HS-24 h). Heat stress was found to induce a significant decrease in Gret1 related sequences in HS-24 h leaves, indicating an effect of heat stress on genomic structure. In order to identify putative heat induced DNA modifications, genome wide approaches such as Amplified Fragment Length Polymorphism were utilized. This resulted in the identification of a polymorphic DNA fragment in HS-0 h and HS-24 h leaves whose sequence mapped to a genomic region flanking a house keeping gene (NADH) that is represented in multiple copies in the Vitis vinifera genome. Heat stress was also found to affect the transcript levels of various non-coding and gene coding sequences. Accordingly, quantitative real time PCR results established that Gret1 related sequences are up regulated immediately after heat stress whereas the level of transcript of genes involved in identification and repair of double strand breaks are significantly down regulated in HS-0 h plants. Taken together, the results of this work demonstrated heat stress affects both genomic integrity and transcription levels.

Functional characterization and directed engineering of redox proteins for a rational improvement of Bioelectrochemical systems

In recent years, new methods of clean and environmentally friendly energy production have been the focus of intense research efforts. Microbial fuel cells (MFCs) are devices that utilize naturally occurring microorganisms that feed on organic matter, like waste water, while producing electrical energy. The natural habitats of bacteria thriving in microbial fuel cells are usually marine and freshwater sediments. These microorganisms are called dissimilatory metal reducing bacteria (DMRB), but in addition to metals like iron and manganese, they can use organic compounds like DMSO or TMAO, radionuclides and electrodes as terminal electron acceptors in their metabolic pathways.(...)