Marine toxins in bivalves: accumulation, kinetics and subcellular responses

Sociedade Polis Litoral Ria Formosa,Projects Quasus and Project Toxigest financed by PROMAR (2007-2013)

Study of the electromyographic signal dynamic behavior in Amyotrophic Lateral Sclerosis (ALS)

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neurons degeneration, which reduces muscular force, being very difficult to diagnose. Mathematical methods are used in order to analyze the surface electromiographic signal’s dynamic behavior (Fractal Dimension (FD) and Multiscale Entropy (MSE)), evaluate different muscle group’s synchronization (Coherence and Phase Locking Factor (PLF)) and to evaluate the signal’s complexity (Lempel-Ziv (LZ) techniques and Detrended Fluctuation Analysis (DFA)). Surface electromiographic signal acquisitions were performed in upper limb muscles, being the analysis executed for instants of contraction for ipsilateral acquisitions for patients and control groups. Results from LZ, DFA and MSE analysis present capability to distinguish between the patient group and the control group, whereas coherence, PLF and FD algorithms present results very similar for both groups. LZ, DFA and MSE algorithms appear then to be a good measure of corticospinal pathways integrity. A classification algorithm was applied to the results in combination with extracted features from the surface electromiographic signal, with an accuracy percentage higher than 70% for 118 combinations for at least one classifier. The classification results demonstrate capability to distinguish members between patients and control groups. These results can demonstrate a major importance in the disease diagnose, once surface electromyography (sEMG) may be used as an auxiliary diagnose method.

Transactions in dynamic reactive environments

Most of today’s systems, especially when related to the Web or to multi-agent systems, are not standalone or independent, but are part of a greater ecosystem, where they need to interact with other entities, react to complex changes in the environment, and act both over its own knowledge base and on the external environment itself. Moreover, these systems are clearly not static, but are constantly evolving due to the execution of self updates or external actions. Whenever actions and updates are possible, the need to ensure properties regarding the outcome of performing such actions emerges. Originally purposed in the context of databases, transactions solve this problem by guaranteeing atomicity, consistency, isolation and durability of a special set of actions. However, current transaction solutions fail to guarantee such properties in dynamic environments, since they cannot combine transaction execution with reactive features, or with the execution of actions over domains that the system does not completely control (thus making rolling back a non-viable proposition). In this thesis, we investigate what and how transaction properties can be ensured over these dynamic environments. To achieve this goal, we provide logic-based solutions, based on Transaction Logic, to precisely model and execute transactions in such environments, and where knowledge bases can be defined by arbitrary logic theories.

Tool for spatial and dynamic representation of artistic performances

This proposal aims to explore the use of available technologies for video representation of sets and performers in order to serve as support for composition processes and artistic performer rehearsals, while focusing in representing the performer’s body and its movements, and its relation with objects belonging to the three-dimensional space of their performances. This project’s main goal is to design and develop a system that can spatially represent the performer and its movements, by means of capturing processes and reconstruction using a camera device, as well as enhance the three-dimensional space where the performance occurs by allowing interaction with virtual objects and by adding a video component, either for documentary purposes, or for live performances effects (for example, using video mapping video techniques in captured video or projection during a performance).

DYNAMOD – A dynamic agent based modelling framework for digital businesses

Digital Businesses have become a major driver for economic growth and have seen an explosion of new startups. At the same time, it also includes mature enterprises that have become global giants in a relatively short period of time. Digital Businesses have unique characteristics that make the running and management of a Digital Business much different from traditional offline businesses. Digital businesses respond to online users who are highly interconnected and networked. This enables a rapid flow of word of mouth, at a pace far greater than ever envisioned when dealing with traditional products and services. The relatively low cost of incremental user addition has led to a variety of innovation in pricing of digital products, including various forms of free and freemium pricing models. This thesis explores the unique characteristics and complexities of Digital Businesses and its implications on the design of Digital Business Models and Revenue Models. The thesis proposes an Agent Based Modeling Framework that can be used to develop Simulation Models that simulate the complex dynamics of Digital Businesses and the user interactions between users of a digital product. Such Simulation models can be used for a variety of purposes such as simple forecasting, analysing the impact of market disturbances, analysing the impact of changes in pricing models and optimising the pricing for maximum revenue generation or a balance between growth in usage and revenue generation. These models can be developed for a mature enterprise with a large historical record of user growth rate as well as for early stage enterprises without much historical data. Through three case studies, the thesis demonstrates the applicability of the Framework and its potential applications.

Dynamic delta hedging of autocallables under a discrete rebalancing context

This work tests different delta hedging strategies for two products issued by Banco de Investimento Global in 2012. The work studies the behaviour of the delta and gamma of autocallables and their impact on the results when delta hedging with different rebalancing periods. Given its discontinuous payoff and path dependency, it is suggested the hedging portfolio is rebalanced on a daily basis to better follow market changes. Moreover, a mixed strategy is analysed where time to maturity is used as a criterion to change the rebalancing frequency.

Characterization of an OPCPA laser amplifier based on the nonlinear crystal YCOB

The work described in this thesis was performed at the Laboratory for Intense Lasers (L2I) of Instituto Superior Técnico, University of Lisbon (IST-UL). Its main contribution consists in the feasibility study of the broadband dispersive stages for an optical parametric chirped pulse amplifier based on the nonlinear crystal yttrium calcium oxi-borate (YCOB). In particular, the main goal of this work consisted in the characterization and implementation of the several optical devices involved in pulse expansion and compression of the amplified pulses to durations of the order of a few optical cycles (20 fs). This type of laser systems find application in fields such as medicine, telecommunications and machining, which require high energy, ultrashort (sub-100 fs) pulses. The main challenges consisted in the preliminary study of the performance of the broadband amplifier, which is essential for successfully handling pulses with bandwidths exceeding 100 nm when amplified from the μJ to 20 mJ per pulse. In general, the control, manipulation and characterization of optical phenomena on the scale of a few tens of fs and powers that can reach the PW level are extremely difficult and challenging due to the complexity of the phenomena of radiation-matter interaction and their nonlinearities, observed at this time scale and power level. For this purpose the main dispersive components were characterized in detail, specifically addressing the demonstration of pulse expansion and compression. The tested bandwidths are narrower than the final ones, in order to confirm the parameters of these elements and predict the performance for the broadband pulses. The work performed led to additional tasks such as a detailed characterization of laser oscillator seeding the laser chain and the detection and cancelling of additional sources of dispersion.

Nestle's dynamic forecasting process: Anticipating risks and opportunities

Nestlé’s Dynamic Forecasting Process: Anticipating Risks and Opportunities This Work Project discusses the Nestlé’s Dynamic Forecasting Process, implemented within the organization as a way of reengineering its performance management concept and processes, so as to make it more flexible and capable to react to volatile business conditions. When stressing the importance of demand planning to reallocate resources and enhance performance, Nescafé Dolce Gusto comes as way of seeking improvements on this forecasts’ accuracy and it is thus, by providing a more accurate model on its capsules’ sales, as well as recommending adequate implementations that positively contribute to the referred Planning Process, that value is brought to the Project

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.

exploring the differences of CSR and CSE activities on consumer attributions and responses

The following directed research project analyzes how different sustainability efforts of an organization influence consumers’ responses in an industry, which faces high controversy. The study tested shows how two different high fit sustainability endeavors, namely high fit Corporate Social Responsibility (CSR) activities and Corporate Social Entrepreneurship (CSE), affect the way consumers’ attributions are being made with regard to the company’s motive. With data gathered from surveying 156 participants, the study provides evidence that CSR as well as CSE programs stimulate values-driven attributions which positively affect consumers’ trust, corporate reputation and corporate image. Lastly, theoretical and managerial implications of the study are discussed and future research suggestions provided.