Studying the impact of co-authorship with external researchers:the case of research community in Portugal using social network analysis.

Project work presented as a partial requirement to obtain a Master Degree in Information Management

Open innovation and social network analysis

The present article is based on the report for the Doctoral Conference of the PhD programme in Technology Assessment, held at FCT-UNL Campus, Monte de Caparica, July 9th, 2012. The PhD thesis has the supervision of Prof. Cristina Sousa (ISCTE-IUL), and co-supervision of Prof. José Cardoso e Cunha (FCT-UNL).

International News Reporting in the Multidimensional Network: The socio-demographics, professional culture and newswork of foreign correspondents working across Sub-Saharan Africa

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Media Digitais

Referenda outcomes and the influence of polls: A social network feedback process

This paper proposes a model to explain the differences between outcomes of referenda and the voting trends suggested by polls. Two main effects are at stake. First, the evolution of the voters' attitudes is conditional on the public information made available to them. Second, the predisposition toward abstention among individuals within each voting group may be different. Our model describes how these two aspects of decision making may interact, showing how publicly available information may amplify the distinct tendency toward abstention between both groups and thus affect the outcome of the referendum.

A distributed platform for the volunteer execution of workflows on a local area network

Thesis submitted in fulfilment of the requirements for the Degree of Master of Science in Computer Science

Cellular reprogramming strategies for degenerative disorders involving the retinal pigment epithelium

RESUMO: A reprogramação celular permite que uma célula somática seja reprogramada para outra célula diferente através da expressão forçada de factores de transcrição (FTs) específicos de determinada linhagem celular, e constitui uma área de investigação emergente nos últimos anos. As células somáticas podem ser experimentalmente manipuladas de modo a obter células estaminais pluripotentes induzidas (CEPi), ou convertidas directamente noutro tipo de célula somática. Estas descobertas inovadoras oferecem oportunidades promissoras para o desenvolvimento de novas terapias de substituição celular e modelos de doença, funcionando também como ferramentas valiosas para o estudo dos mecanismos moleculares que estabelecem a identidade celular e regulam os processos de desenvolvimento. Existem várias doenças degenerativas hereditárias e adquiridas da retina que causam deficiência visual devido a uma disfunção no tecido de suporte da retina, o epitélio pigmentar da retina (EPR). Uma destas doenças é a Coroideremia (CHM), uma doença hereditária monogénica ligada ao cromossoma X causada por mutações que implicam a perda de função duma proteína com funções importantes na regulação do tráfico intracelular. A CHM é caracterizada pela degenerescência progressiva do EPR, assim como dos foto-receptores e da coróide. Resultados experimentais sugerem que o EPR desempenha um papel importante na patogénese da CHM, o que parece indicar uma possível vantagem terapêutica na substituição do EPR nos doentes com CHM. Por outro lado, existe uma lacuna em termos de modelos in vitro de EPR para estudar a CHM, o que pode explicar o ainda desconhecimento dos mecanismos moleculares que explicam a patogénese desta doença. Assim, este trabalho focou-se principalmente na exploração das potencialidades das técnicas de reprogramação celular no contexto das doenças de degenerescência da retina, em particular no caso da CHM. Células de murganho de estirpe selvagem, bem como células derivadas de um ratinho modelo de knockout condicional de Chm, foram convertidos com sucesso em CEPi recorrendo a um sistema lentiviral induzido que permite a expressão forçada dos 4 factores clássicos de reprogramação, a saber Oct4, Sox2, Klf4 e c-Myc. Estas células mostraram ter equivalência morfológica, molecular e funcional a células estaminais embrionárias (CES). As CEPi obtidas foram seguidamente submetidas a protocolos de diferenciação com o objectivo final de obter células do EPR. Os resultados promissores obtidos revelam a possibilidade de gerar um valioso modelo de EPR-CHM para estudos in vitro. Em alternativa, a conversão directa de linhagens partindo de fibroblastos para obter células do EPR foi também abordada. Uma vasta gama de ferramentas moleculares foi gerada de modo a implementar uma estratégia mediada por FTs-chave, seleccionados devido ao seu papel fundamental no desenvolvimento embrionário e especificação do EPR. Conjuntos de 10 ou menos FTs foram usados para transduzir fibroblastos, que adquiriram morfologia pigmentada e expressão de alguns marcadores específicos do EPR. Adicionalmente, observou-se a activação de regiões promotoras de genes específicos de EPR, indicando que a identidade transcricional das células foi alterada no sentido pretendido. Em conclusão, avanços significativos foram atingidos no sentido da implementação de tecnologias de reprogramação celular já estabelecidas, bem como na concepção de novas estratégias inovadoras. Metodologias de reprogramação, quer para pluripotência, quer via conversão directa, foram aplicadas com o objectivo final de gerar células do EPR. O trabalho aqui descrito abre novos caminhos para o estabelecimento de terapias de substituição celular e, de uma maneira mais directa, levanta a possibilidade de modelar doenças degenerativas da retina com disfunção do EPR numa placa de petri, em particular no caso da CHM.---------------ABSTRACT: Cellular reprogramming is an emerging research field in which a somatic cell is reprogrammed into a different cell type by forcing the expression of lineage-specific transcription factors (TFs). Cellular identities can be manipulated using experimental techniques with the attainment of pluripotency properties and the generation of induced Pluripotent Stem (iPS) cells, or the direct conversion of one somatic cell into another somatic cell type. These pioneering discoveries offer new unprecedented opportunities for the establishment of novel cell-based therapies and disease models, as well as serving as valuable tools for the study of molecular mechanisms governing cell fate establishment and developmental processes. Several retinal degenerative disorders, inherited and acquired, lead to visual impairment due to an underlying dysfunction of the support cells of the retina, the retinal pigment epithelium (RPE). Choroideremia (CHM), an X-linked monogenic disease caused by a loss of function mutation in a key regulator of intracellular trafficking, is characterized by a progressive degeneration of the RPE and other components of the retina, such as the photoreceptors and the choroid. Evidence suggest that RPE plays an important role in CHM pathogenesis, thus implying that regenerative approaches aiming at rescuing RPE function may be of great benefit for CHM patients. Additionally, lack of appropriate in vitro models has contributed to the still poorly-characterized molecular events in the base of CHM degenerative process. Therefore, the main focus of this work was to explore the potential applications of cellular reprogramming technology in the context of RPE-related retinal degenerations. The generation of mouse iPS cells was established and optimized using an inducible lentiviral system to force the expression of the classic set of TFs, namely Oct4, Sox2, Klf4 and c-Myc. Wild-type cells, as well as cells derived from a conditional knockout (KO) mouse model of Chm, were successfully converted into a pluripotent state, that displayed morphology, molecular and functional equivalence to Embryonic Stem (ES) cells. Generated iPS cells were then subjected to differentiation protocols towards the attainment of a RPE cell fate, with promising results highlighting the possibility of generating a valuable Chm-RPE in vitro model. In alternative, direct lineage conversion of fibroblasts into RPE-like cells was also tackled. A TF-mediated approach was implemented after the generation of a panoply of molecular tools needed for such studies. After transduction with pools of 10 or less TFs, selected for their key role on RPE developmental process and specification, fibroblasts acquired a pigmented morphology and expression of some RPE-specific markers. Additionally, promoter regions of RPE-specific genes were activated indicating that the transcriptional identity of the cells was being altered into the pursued cell fate. In conclusion, highly significant progress was made towards the implementation of already established cellular reprogramming technologies, as well as the designing of new innovative ones. Reprogramming into pluripotency and lineage conversion methodologies were applied to ultimately generate RPE cells. These studies open new avenues for the establishment of cell replacement therapies and, more straightforwardly,raise the possibility of modelling retinal degenerations with underlying RPE defects in apetri dish, particularly CHM.

Should Quinta dos Açores expand its retailer network in lisbon?

The primary purpose of this research is to examine the feasibility of expanding Quinta dos Açores retailer network in Lisbon starting from 2015 onwards. A time series model was developed to estimate the company’s future production and sales. A Discounted Cash Flow analysis was also conducted to determine the profitability of this expansion opportunity. Our findings reveal that Quinta dos Açores will face negative results in the first two years of the expansion strategy, but the overall opportunity presents a net positive result of almost three million euros.

The new economy: Essays in network economics and two-sided markets

Following the Introduction, which surveys existing literature on the technology advances and regulation in telecommunications and on two-sided markets, we address specific issues on the industries of the New Economy, featured by the existence of network effects. We seek to explore how each one of these industries work, identify potential market failures and find new solutions at the economic regulation level promoting social welfare. In Chapter 1 we analyze a regulatory issue on access prices and investments in the telecommunications market. The existing literature on access prices and investment has pointed out that networks underinvest under a regime of mandatory access provision with a fixed access price per end-user. We propose a new access pricing rule, the indexation approach, i.e., the access price, per end-user, that network i pays to network j is function of the investment levels set by both networks. We show that the indexation can enhance economic efficiency beyond what is achieved with a fixed access price. In particular, access price indexation can simultaneously induce lower retail prices and higher investment and social welfare as compared to a fixed access pricing or a regulatory holidays regime. Furthermore, we provide sufficient conditions under which the indexation can implement the socially optimal investment or the Ramsey solution, which would be impossible to obtain under fixed access pricing. Our results contradict the notion that investment efficiency must be sacrificed for gains in pricing efficiency. In Chapter 2 we investigate the effect of regulations that limit advertising airtime on advertising quality and on social welfare. We show, first, that advertising time regulation may reduce the average quality of advertising broadcast on TV networks. Second, an advertising cap may reduce media platforms and firms' profits, while the net effect on viewers (subscribers) welfare is ambiguous because the ad quality reduction resulting from a regulatory cap o¤sets the subscribers direct gain from watching fewer ads. We find that if subscribers are sufficiently sensitive to ad quality, i.e., the ad quality reduction outweighs the direct effect of the cap, a cap may reduce social welfare. The welfare results suggest that a regulatory authority that is trying to increase welfare via regulation of the volume of advertising on TV might necessitate to also regulate advertising quality or, if regulating quality proves impractical, take the effect of advertising quality into consideration. 3 In Chapter 3 we investigate the rules that govern Electronic Payment Networks (EPNs). In EPNs the No-Surcharge Rule (NSR) requires that merchants charge at most the same amount for a payment card transaction as for cash. In this chapter, we analyze a three- party model (consumers, merchants, and a proprietary EPN) with endogenous transaction volumes and heterogenous merchants' transactional benefits of accepting cards to assess the welfare impacts of the NSR. We show that, if merchants are local monopolists and the network externalities from merchants to cardholders are sufficiently strong, with the exception of the EPN, all agents will be worse o¤ with the NSR, and therefore the NSR is socially undesirable. The positive role of the NSR in terms of improvement of retail price efficiency for cardholders is also highlighted.

Genome-scale metabolic network reconstruction of Polaromonas sp. strain JS666: analysis of cDCE degradation rates and design of experiments for bioremediation improvement

Release of chloroethene compounds into the environment often results in groundwater contamination, which puts people at risk of exposure by drinking contaminated water. cDCE (cis-1,2-dichloroethene) accumulation on subsurface environments is a common environmental problem due to stagnation and partial degradation of other precursor chloroethene species. Polaromonas sp. strain JS666 apparently requires no exotic growth factors to be used as a bioaugmentation agent for aerobic cDCE degradation. Although being the only suitable microorganism found capable of such, further studies are needed for improving the intrinsic bioremediation rates and fully comprehend the metabolic processes involved. In order to do so, a metabolic model, iJS666, was reconstructed from genome annotation and available bibliographic data. FVA (Flux Variability Analysis) and FBA (Flux Balance Analysis) techniques were used to satisfactory validate the predictive capabilities of the iJS666 model. The iJS666 model was able to predict biomass growth for different previously tested conditions, allowed to design key experiments which should be done for further model improvement and, also, produced viable predictions for the use of biostimulant metabolites in the cDCE biodegradation.

Towards effective control of P2P traffic aggregates in network infrastructures

Nowadays, many P2P applications proliferate in the Internet. The attractiveness of many of these systems relies on the collaborative approach used to exchange large resources without the dependence and associated constraints of centralized approaches where a single server is responsible to handle all the requests from the clients. As consequence, some P2P systems are also interesting and cost-effective approaches to be adopted by content-providers and other Internet players. However, there are several coexistence problems between P2P applications and In- ternet Service Providers (ISPs) due to the unforeseeable behavior of P2P traffic aggregates in ISP infrastructures. In this context, this work proposes a collaborative P2P/ISP system able to underpin the development of novel Traffic Engi- neering (TE) mechanisms contributing for a better coexistence between P2P applications and ISPs. Using the devised system, two TE methods are described being able to estimate and control the impact of P2P traffic aggregates on the ISP network links. One of the TE methods allows that ISP administrators are able to foresee the expected impact that a given P2P swarm will have in the underlying network infrastructure. The other TE method enables the definition of ISP friendly P2P topologies, where specific network links are protected from P2P traffic. As result, the proposed system and associated mechanisms will contribute for improved ISP resource management tasks and to foster the deployment of innovative ISP-friendly systems.

Automated network resilience optimization using computational intelligence methods

This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational in- telligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two il- lustrative Traffic Engineering methods are described, allowing to attain routing con- figurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.

Modeling microbes: New methods for integrated metabolic and regulatory network reconstruction

PhD Thesis in Bioengineering

Abstract computation in schizophrenia detection through artificial neural network based systems

Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a large period of time; continuos signs of the disturbance persist for at least 6 (six) months. Once detected, the psychiatrist diagnosis is made through the clinical interview and a series of psychic tests, addressed mainly to avoid the diagnosis of other mental states or diseases. Undeniably, the main problem with identifying schizophrenia is the difficulty to distinguish its symptoms from those associated to different untidiness or roles. Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.

Thrombophilia screening: An artificial neural network approach

Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.