Development of a Whole-Genome Sequencing (WGS) approach for the characterization of Legionella environmental isolates in water systems

Legionella is a Gram-negative bacterium that represent a public health issue, with heavy social and economic impact. Therefore, it is mandatory to provide a proper environmental surveillance and risk assessment plan to perform Legionella control in water distribution systems in hospital and community buildings. The thesis joins several methodologies in a unique workflow applied for the identification of non-pneumophila Legionella species (n-pL), starting from standard methods as culture and gene sequencing (mip and rpoB), and passing through innovative approaches as MALDI-TOF MS technique and whole genome sequencing (WGS). The results obtained, were compared to identify the Legionella isolates, and lead to four presumptive novel Legionella species identification. One of these four new isolates was characterized and recognized at taxonomy level with the name of Legionella bononiensis (the 64th Legionella species). The workflow applied in this thesis, help to increase the knowledge of Legionella environmental species, improving the description of the environment itself and the events that promote the growth of Legionella in their ecological niche. The correct identification and characterization of the isolates permit to prevent their spread in man-made environment and contain the occurrence of cases, clusters, or outbreaks. Therefore, the experimental work undertaken, could support the preventive measures during environmental and clinical surveillance, improving the study of species often underestimated or still unknown.

Efficient and low-computational predictive models for spectral sensors

Spectral sensors are a wide class of devices that are extremely useful for detecting essential information of the environment and materials with high degree of selectivity. Recently, they have achieved high degrees of integration and low implementation cost to be suited for fast, small, and non-invasive monitoring systems. However, the useful information is hidden in spectra and it is difficult to decode. So, mathematical algorithms are needed to infer the value of the variables of interest from the acquired data. Between the different families of predictive modeling, Principal Component Analysis and the techniques stemmed from it can provide very good performances, as well as small computational and memory requirements. For these reasons, they allow the implementation of the prediction even in embedded and autonomous devices. In this thesis, I will present 4 practical applications of these algorithms to the prediction of different variables: moisture of soil, moisture of concrete, freshness of anchovies/sardines, and concentration of gasses. In all of these cases, the workflow will be the same. Initially, an acquisition campaign was performed to acquire both spectra and the variables of interest from samples. Then these data are used as input for the creation of the prediction models, to solve both classification and regression problems. From these models, an array of calibration coefficients is derived and used for the implementation of the prediction in an embedded system. The presented results will show that this workflow was successfully applied to very different scientific fields, obtaining autonomous and non-invasive devices able to predict the value of physical parameters of choice from new spectral acquisitions.

Exploiting the clustering of cosmic voids as a novel cosmological probe

The investigations of the large-scale structure of our Universe provide us with extremely powerful tools to shed light on some of the open issues of the currently accepted Standard Cosmological Model. Until recently, constraining the cosmological parameters from cosmic voids was almost infeasible, because the amount of data in void catalogues was not enough to ensure statistically relevant samples. The increasingly wide and deep fields in present and upcoming surveys have made the cosmic voids become promising probes, despite the fact that we are not yet provided with a unique and generally accepted definition for them. In this Thesis we address the two-point statistics of cosmic voids, in the very first attempt to model its features with cosmological purposes. To this end, we implement an improved version of the void power spectrum presented by Chan et al. (2014). We have been able to build up an exceptionally robust method to tackle with the void clustering statistics, by proposing a functional form that is entirely based on first principles. We extract our data from a suite of high-resolution N-body simulations both in the LCDM and alternative modified gravity scenarios. To accurately compare the data to the theory, we calibrate the model by accounting for a free parameter in the void radius that enters the theory of void exclusion. We then constrain the cosmological parameters by means of a Bayesian analysis. As far as the modified gravity effects are limited, our model is a reliable method to constrain the main LCDM parameters. By contrast, it cannot be used to model the void clustering in the presence of stronger modification of gravity. In future works, we will further develop our analysis on the void clustering statistics, by testing our model on large and high-resolution simulations and on real data, also addressing the void clustering in the halo distribution. Finally, we also plan to combine these constraints with those of other cosmological probes.

Internationalization process of h3 to the German market

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Internationalization process of h3 to the UK market

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Internationalization plan for social enterprises: A research on the internationalization of "Book a Street Artist"

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Internationalization strategy of Skypro Shoes to Japan

Skypro is a footwear brand targeted at the aviation professionals’ niche market, explored by the Portuguese microenterprise Abotoa Lda..The saturation of the Portuguese market led Skypro to expand to different worldwide countries and to be a footwear supplier of Airlines from the USA, Qatar or Australia, among others. Abotoa aims for its 2014’s exports to represent around 80% of total sales and this Internationalization Plan for Japan represents the possibility of further exploring the Asian market. Japan appears as the 2nd worldwide footwear importer and the 5th footwear consumer, with a high purchasing power – GDP per capita (PPP). This country possesses two enormous Airlines (ANA and JAL) that employ more than 15000 on-board personnel, the world’s 4th busiest Airport in 2013 (Tokyo’s Haneda International Airport) and a geographic structure with more than 6500 islands, implying high frequency of aerial transportation in the medium-run. These aspects make Japan an adequate country to invest in. At the course of this Work Project, trustworthy recommendations are provided for the current state of Abotoa and for the introduction and implementation of this Internationalization Plan. These findings strongly suggest that Skypro should indeed penetrate Japan’s market.

Contribution to a strategic plan for the implementation of continuous improvement process in an MRO

This Work Project studies the Continuous Improvement and Processes (CIP) department at TAP Maintenance & Engineering. The project has the objective to provide insights to align the activities of the department with the strategy of the organization. For such, two focuses were taken: (i) an internal analysis which highlighted a need for transversal change to ensure the adoption of Continuous Improvement at TAP, and (ii) a process which outlined objectives and projects to be pursued to prioritize CIP’s activities in accordance with the organization’s goals. The outcome includes (a) important recommendations concerning strategic planning and competition evaluation and (b) a process’ output that reflects a balance among factors influencing the priority of projects.

Land of the rising soy an internationalization plan for nutre to the Japanese Soy milk market

The present work project studies the next step in the internationalization process of Shoyce, the soy milk products brand of Nutre. In order to select the best target market in the Asia-Pacific for Nutre to export, a sequential screening process was developed using two complementary approaches: preliminary country screening and country ranking, followed by an in-depth analysis of the country ranking first. The analysis revealed Japan as the most attractive country for Shoyce’s international expansion. Potential entry modes in the Japanese soy milk market were then evaluated, whereby direct exporting via a local distributor was found to be the most appropriate.

Implementation of Response to Intervention (RtI) Model in Spain : An example of a collaboration between Canarian universities and the department of education of the Canary Islands

Resumen tomado de la publicaci??n

The significance of innovative approaches to teaching in primary school for the new curriculum implementation. 'La importancia de accesos innovadores a enseñanza en escuela primaria para la nueva puesta en práctica de plan de estudios'.

Resumen tomado de la publicación. Monográfico con el título: Nuevas tecnologías y educación en medios