Brotherly love and filial obedience: the commemorative programme of the Avis princes at Santa Maria da Vitória, Batalha

This dissertation focuses on a rare 15th century commemorative programme that has thus far received little scholarly attention: the collective monument erected in the Founder’s Chapel, at the Monastery of Santa Maria da Vitória, Batalha, to house the remains of four Avis princes, members of what would become known as ‘the Illustrious Generation’. A patron is proposed for the commission of this erudite monument - the princes’ eldest brother, king Duarte I - arguing its integration into a broader propaganda programme to glorify the memory of the Avis dynasty founder, king João I. The dissertation then proceeds to discuss various highly innovative features of the monument, such as its pseudo-architectural character, its use of sophisticated heraldry and personal badges, the apparent absence of religious iconography on the tombs and, importantly, the collective nature of the programme, key to its interpretation. Using a semiotic approach, a discussion is also offered on the way the various formal, iconographic and conceptual novelties of the princes’ monument impacted on the 15th century monumental landscape in Portugal. Finally, the monument and the chapel housing it are looked at through the prism of the various readings that successive generations of viewers have projected onto it, from the time of its creation to the turn of the 20th century, in order to offer a more comprehensive understanding of the object as it stands today.

Complex networks and data mining: toward a new perspective for the understanding of complex systems

Complex systems, i.e. systems composed of a large set of elements interacting in a non-linear way, are constantly found all around us. In the last decades, different approaches have been proposed toward their understanding, one of the most interesting being the Complex Network perspective. This legacy of the 18th century mathematical concepts proposed by Leonhard Euler is still current, and more and more relevant in real-world problems. In recent years, it has been demonstrated that network-based representations can yield relevant knowledge about complex systems. In spite of that, several problems have been detected, mainly related to the degree of subjectivity involved in the creation and evaluation of such network structures. In this Thesis, we propose addressing these problems by means of different data mining techniques, thus obtaining a novel hybrid approximation intermingling complex networks and data mining. Results indicate that such techniques can be effectively used to i) enable the creation of novel network representations, ii) reduce the dimensionality of analyzed systems by pre-selecting the most important elements, iii) describe complex networks, and iv) assist in the analysis of different network topologies. The soundness of such approach is validated through different validation cases drawn from actual biomedical problems, e.g. the diagnosis of cancer from tissue analysis, or the study of the dynamics of the brain under different neurological disorders.

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).

Mobile image processing to support educational geometry games

The mobile IT era is here, it is still growing and expanding at a steady rate and, most of all, it is entertaining. Mobile devices are used for entertainment, whether social through the so-called social networks, or private through web browsing, video watching or gaming. Youngsters make heavy use of these devices, and even small children show impressive adaptability and skill. However not much attention is directed towards education, especially in the case of young children. Too much time is usually spent in games which only purpose is to keep children entertained, time that could be put to better use such as developing elementary geometric notions. Taking advantage of this pocket computer scenario, it is proposed an application geared towards small children in the 6 – 9 age group that allows them to consolidate knowledge regarding geometric shapes, forming a stepping stone that leads to some fundamental mathematical knowledge to be exercised later on. To achieve this goal, the application will detect simple geometric shapes like squares, circles and triangles using the device’s camera. The novelty of this application will be a core real-time detection system designed and developed from the ground up for mobile devices, taking into account their characteristic limitations such as reduced processing power, memory and battery. User feedback was be gathered, aggregated and studied to assess the educational factor of the application.

Understanding how dentritic cell glycans affect antitumor immune responses

RESUMO: As células dendríticas (DCs) têm a capacidade única de induzir respostas imunitárias contra as células tumorais, fagocitando antigénios tumorais e apresentando-os às células T, provocando respostas imunitárias específicas que conduzem à eliminação de células de tumorais. Por induzirem memória imunológica de longa duração, as DCs são uma estratégia atrativa para o tratamento e/ou prevenção do cancro. No entanto, os resultados terapêuticos obtidos em ensaios clínicos com DCs são escassos e pouco eficientes. O nosso grupo demonstrou que ácidos siálicos que contêm glicanos desempenham um papel funcional importante em DCs geradas ex vivo. Com o objetivo de estabelecer um modelo in vitro para avaliar a resposta anti-tumoral específica realizou-se um tratamento enzimático a DCs derivadas de monócitos (moDCs) com sialidase, enzima que cliva ácidos siálicos na superfície celular. O perfil de maturação de moDCs foi caracterizado por citometria de fluxo e expressão de citocinas. Os resultados mostram que a sialidase pode regular positivamente a expressão de moléculas co-estimuladoras na superfície de moDCs estimuladas com agonistas de Toll like receptors (TLRs). Para percebermos se o tratamento com sialidase afeta a sinalização dos TLRs foram usadas células HEK transfectadas de forma estável com TLRs 2, 4 and 7/8. Os dados mostraram que a desialilação não afeta a sinalização através estes recetores. Para investigar o impacto funcional da sialidase na capacidade de moDCs em apresentar um antigénio e ativar células T, moDCs foram tratadas, ou não, com sialidase e cultivadas com clones de células T CD8+ específicas para os péptidos derivados do antigénio tumoral gp100. Os resultados mostram que DCs HLA*02:01+ desialiladas exibem maior cross-presentation do péptido gp100280-288 às células T CD8+ específicas. Além disso o tratamento com sialidase também aumenta a capacidade de DCs de induzir a proliferação de células T CD4+. Em conjunto, os resultados indicam que moDCs com menos ácidos siálicos na superfície, têm melhor potencial imuno-estimulador, com maior capacidade de induzir respostas imunes anti-tumorais.--------------------- ABSTRACT: Dendritic cells (DCs) have a unique capacity to induce immune responses against tumor cells. They can phagocyte tumor antigens, maturate and present them to T cells, triggering antigen-specific immune responses that may lead to the elimination of tumor cells. Since they induce long-lasting immunological memory, DCs become an attractive strategy as cellular targets for vaccines in the treatment and/or prevention of cancer. However, the therapeutic results obtained in clinical trials with DCs are scarce and only few patients effectively respond to the DC vaccines. Our group has shown that sialic acid containing glycans play an important functional role in ex vivo generated DC. Here we aimed to establish an in vitro model to assess specific antitumor responses. To achieve this, an enzymatic treatment of monocyte-derived DCs (moDCs) was performed using sialidase to cleave surface sialic acids. The maturation profile of the moDCs was characterized by flow cytometry and cytokine expression. The results show that sialidase treatment can upregulate co-stimulatory molecules on surface of moDCs stimulated with Toll like receptor (TLR) agonists. To understand whether sialidase treatment affected the TLR signaling, we have used HEK cells stably transfected with TLRs 2, 4 and 7/8. The data showed that desialylation of moDCs does not affect the signaling via these receptors. To investigate the functional impact of sialidase treatment in the capacity of moDCs to present antigen and to activate antigen specific T cells, sialidase treated and untreated moDCs were co-cultured with CD8+ T cell clones specific for peptides derived from the gp100 tumor antigen. Our results show that desialylated HLA02:01+ DCs are superior in cross-presentation of the peptide to gp100280–288 specific CD8+ T cells. In addition, sialidase treatment also increased the DC capacity to induce CD4+ T cells proliferation. Together, these data indicate that moDCs with altered cell surface sialic acids, through a sialidase treatment, have a better immunostimulatory potential which could improve anti-tumor immune responses.

Drilling deeper: Understanding trade in Angola

The present study analyzes Angola’s trading partners from 2005 to 2015 in order to understand the main drivers of Exports and Imports growth. Departing from a gravity model, foreign GDP growth and real exchange rate fluctuations were interpreted as demand and supply disturbances on Exports. While nominal and real exports both increase with demand expansions, they react differently to supply shocks. Imports are growing at the same rate as Angola’s economy while exchange rate fluctuations capture the wealth effect of Oil price in the economy.

Understanding churn and its reasons: The GuestU case

In the age of computerisation, entrepreneurs around the world aim to revolutionise their field with ground-breaking ICTs. GuestU is one of those offering mobile application development to small and medium-sized tourism enterprises. To assure the young start-ups steady growth this paper aims to identify reasons for the high customer churn risk. Primary data is used to analyse end-user behaviour and particularly the success of acquisition and activation. Results show troubling download quantities as well as retention rates leading to the recommendations for GuestU to incentivise and guide their customers in increasing promotion for the applications.

Banco Invest understanding the drivers of growth

Field lab: Business project

Banco Invest understanding how to grow in the Portuguese individual clients segment the client analysis

Field lab: Business project

Understanding multi-asset factor models: Factor exposure interpretation

Field lab: Business project

La Cène ou la figure du banquet comme image de crise morale chez Zeng Fanzhi

Les yeux et les masques sont prévalents dans les oeuvres du peintre chinois contemporain Zeng Fanzhi (né en 1964), comme métaphore du jeu de pouvoir qui oppose les individus à l’appareil social et politique. Son oeuvre La Cène, d’après Leonard de Vinci, est un exemple frappant de cette préoccupation. Cet essai examine l’utilisation par l’artiste de cette représentation occidentale d’une crise morale (une trahison qui mène à la mort du Christ) pour exprimer la dystopie qui marque la Chine contemporaine. L’interprétation par Zeng de l’oeuvre de Vinci témoigne d’une compréhension profonde de sa signification à la Renaissance comme conflit entre le pouvoir terrestre et spirituel, auquel il surimpose la fonction du banquet dans la culture chinoise comme lieu de lutte politique. Un nihilisme détaché imprègne ce travail, à l’instar de l’interprétation métaphorique du banquet de Platon par Søren Kierkegaard, In Vino Veritas.

Crowdfunding campaigns: Perceived quality and success

Research in Crowdfunding is an emerging priority within the field of Entrepreneurship. Hundreds of platforms provide nowadays multiple Crowdfunding schemes which are intended to make it easier for entrepreneurs and others to collect money from the crowd. However, only a few campaigns become successful as others don’t reach the pre-established funding goal. It is thus necessary to keep on understanding the dynamics of these platforms and the factors which justify success. The asymmetry of information has been shown to be a delicate issue as people perceive quality in different manners. As so, this research aims to understand which components of perceived quality mostly influence investments decisions. Mainly Entrepreneurship and Marketing theories were explored along the way. This is research follows a causal approach where nineteen hypotheses are tested. An experimental survey was conducted and data was collected from 127 people who were asked to evaluate one of the most important pieces of any Crowdfunding campaign – the pitch video – and consequently invest on the presented products.

Banco invest: Understanding how to grow in teh portuguese individual clients segment competitors analysis

Field lab: Business project

Banco invest: Understanding how to grow in the portuguese individual clients segment benchnarking

Field lab: Business project

Banco Invest understanding the drivers of growth

Field lab: Business project