Acredita Portugal: How to improve the implementation rate of entrepreneurial projects?

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

How training evaluation can be used to potentiate employee development in an organization

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

Corporate finance in general equilibrium models with incomplete markets: A survey

A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics

Money for nothing?: The net costs of medical training

A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

A knowledge-based framework to facilitate E-training implementation

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

From Strategic Planning to Development Initiatives: a first reflection on the situation of Lisbon and Barcelona

MARQUES, B.P. (2014) From Strategic Planning to Development Initiatives: a first reflection on the situation of Lisbon and Barcelona, in 20th APDR Congress Proceddings, APDR and UÉvora, Évora, pp. 850-857, ISBN 978-989-8780-01-0.

Microscopy image segmentation by active contour models

In this thesis a semi-automated cell analysis system is described through image processing. To achieve this, an image processing algorithm was studied in order to segment cells in a semi-automatic way. The main goal of this analysis is to increase the performance of cell image segmentation process, without affecting the results in a significant way. Even though, a totally manual system has the ability of producing the best results, it has the disadvantage of taking too long and being repetitive, when a large number of images need to be processed. An active contour algorithm was tested in a sequence of images taken by a microscope. This algorithm, more commonly known as snakes, allowed the user to define an initial region in which the cell was incorporated. Then, the algorithm would run several times, making the initial region contours to converge to the cell boundaries. With the final contour, it was possible to extract region properties and produce statistical data. This data allowed to say that this algorithm produces similar results to a purely manual system but at a faster rate. On the other hand, it is slower than a purely automatic way but it allows the user to adjust the contour, making it more versatile and tolerant to image variations.

Assessing the efficacy of the Mental Health Gap Action Programme (mhGAP) training for non-specialized health workers in Ethiopia

RESUMO: A OMS lançou em 2008, o Programa de Acção do Gap em Saúde Mental (mhGAP) para suprir a falta de cuidados, especialmente em países de rendimento baixo e médio, para as pessoas que sofrem de perturbações mentais, neurológicas e de uso de substâncias (MNS). Um componente crucial do mhGAP é representado pelo esforço no sentido da integração da saúde mental nos cuidados de saúde primários. Na Etiópia, o mhGAP foi monitorizado durante 3 anos, graças a um projeto de demonstração implementado em clínicas selecionadas em quatro regiões do país. A fase de demonstração de mhGAP na Etiópia traduziu-se principalmente na formação de profissionais de saúde não especializados, fornecendo-lhes orientação e supervisão apoiada para a utilização de medicamentos psicotrópicos essenciais e na coordenação com o Ministério Etíope Federal da Saúde, Hospital Amanuel de Saúde Mental e as Secretarias Regionais de Saúde ( RHBs ). O presente trabalho investigou a eficácia do pacote de formação mhGAP através de uma análise das pontuações dos participantes no pré- e pós-testes. A análise estatística mostrou - com uma exceção - que a melhoria dos formandos é estatisticamente significativa, o que sugere que os conhecimentos dos participantes é melhorada na fase de pós-teste. A eficácia do pacote de formação mhGAP para profissionais de saúde não especializados é uma evidência promissora de que os mesmos podem ser treinados com sucesso para realizar um pacote básico de intervenções para a prestação de cuidados e tratamento para pessoas com perturbações mentais, neurológicas e de uso de substâncias. Este trabalho destaca, também, várias limitações não apenas inerentes ao próprio projecto de investigação tais como o número limitado de respostas que foram analisadas e a falta de dados de uma das quatro regiões onde mhGAP foi testado na Etiópia. As principais limitações decorrem de facto da abordagem global limitar as intervenções de saúde mental ao programa de formação e supervisão dos trabalhadores de cuidados de saúde primários . Este processo só será bem sucedido se, juntamente com outras intervenções - que vão desde o desenvolvimento de currículos para o desenvolvimento de uma legislação de saúde mental -, fôr incluído numa estratégia mais abrangente para a reforma da saúde mental e desafiar o status quo.-----------ABSTRACT:In 2008, WHO launched the Mental Health Gap Action Programme (mhGAP) to address the lack of care, especially in low- and middle- income countries, for people living with mental, neurological and substance use (MNS) disorders. A crucial component of mhGAP is represented by the endeavor towards integration of mental health into primary health care. In Ethiopia, mhGAP has been piloted for 3 years thanks to a demonstration project implemented in selected clinics in 4 regions of the country. The demonstration phase of mhGAP in Ethiopia has mainly translated into training of non-specialized health workers, providing them with mentorship and supportive supervision, availing essential psychotropic medications and coordinating with the Ethiopian Federal Ministry of Health, Amanuel Mental Health Hospital and the Regional Health Bureaus (RHBs). The present paper investigated the efficacy of the mhGAP training package through an analysis of the participants’ scores at pre-test and post-test. The statistical analysis showed - with one exception - that the improvement of trainees is statistically significant, therefore suggesting that the knowledge of participants is improved in the post-test phase. The efficacy of the mhGAP training package on non-specialized health workers is promising evidence that non-specialized health-care providers can be successfully trained to deliver a basic package of interventions for providing care and treatment for people with mental, neurological and substance use disorders. However, this paper also highlights several limitations, which are not only inherent to the research itself, such as the limited number of scores that was analyzed, or the lack of data from one of the four regions where mhGAP has been piloted in Ethiopia; major limitations occur in fact in the overall approach of confining mental health interventions to training and supervising primary health care workers. This process will only be successful if coupled with other interventions – ranging from curricula development to development of a mental health legislation - and if it is included in a more comprehensive strategy to reform mental health and challenge the status quo.

Participatory Surveillance and Mathematical Models in Epidemiologic Research: Successes and Challenges

Theoretical epidemiology aims to understand the dynamics of diseases in populations and communities. Biological and behavioral processes are abstracted into mathematical formulations which aim to reproduce epidemiological observations. In this thesis a new system for the self-reporting of syndromic data — Influenzanet — is introduced and assessed. The system is currently being extended to address greater challenges of monitoring the health and well-being of tropical communities.(...)

Provide instructions and resources for assessment and training in earth building: the Pirate project

This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Amyotrophic Lateral Sclerosis:Mammalian Cell Models,Copper-Zinc Superoxide Dismutaseand Biological Characteristics

"Amyotrophic Lateral Sclerosis (ALS) is the most severe and common adult onset disorder that affects motor neurons in the spinal cord, brainstem and cortex, resulting in progressive weakness and death from respiratory failure within two to five years of symptoms onset(...)

Enterprise reference lexicon building from business models

Nowadays, a significant increase on the demand for interoperable systems for exchanging data in business collaborative environments has been noticed. Consequently, cooperation agreements between each of the involved enterprises have been brought to light. However, due to the fact that even in a same community or domain, there is a big variety of knowledge representation not semantically coincident, which embodies the existence of interoperability problems in the enterprises information systems that need to be addressed. Moreover, in relation to this, most organizations face other problems about their information systems, as: 1) domain knowledge not being easily accessible by all the stakeholders (even intra-enterprise); 2) domain knowledge not being represented in a standard format; 3) and even if it is available in a standard format, it is not supported by semantic annotations or described using a common and understandable lexicon. This dissertation proposes an approach for the establishment of an enterprise reference lexicon from business models. It addresses the automation in the information models mapping for the reference lexicon construction. It aggregates a formal and conceptual representation of the business domain, with a clear definition of the used lexicon to facilitate an overall understanding by all the involved stakeholders, including non-IT personnel.

Learning facial-expression models with crowdsourcing

The computational power is increasing day by day. Despite that, there are some tasks that are still difficult or even impossible for a computer to perform. For example, while identifying a facial expression is easy for a human, for a computer it is an area in development. To tackle this and similar issues, crowdsourcing has grown as a way to use human computation in a large scale. Crowdsourcing is a novel approach to collect labels in a fast and cheap manner, by sourcing the labels from the crowds. However, these labels lack reliability since annotators are not guaranteed to have any expertise in the field. This fact has led to a new research area where we must create or adapt annotation models to handle these weaklylabeled data. Current techniques explore the annotators’ expertise and the task difficulty as variables that influences labels’ correction. Other specific aspects are also considered by noisy-labels analysis techniques. The main contribution of this thesis is the process to collect reliable crowdsourcing labels for a facial expressions dataset. This process consists in two steps: first, we design our crowdsourcing tasks to collect annotators labels; next, we infer the true label from the collected labels by applying state-of-art crowdsourcing algorithms. At the same time, a facial expression dataset is created, containing 40.000 images and respective labels. At the end, we publish the resulting dataset.