What makes a good team?

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

Regulation of the rice gene OsRMC under salt stress: identification and functional characterization of novel transcription factors

Dissertation presented to obtain the Ph.D degree in Biology

Recursive neuro fuzzy techniques for online identification and control

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

Osmo- and thermo-adaptation in hyperthermophilic Archaea: identification of compatible solutes accumulation profiles, and biosynthetic routes in Archaeoglobus spp.

Dissertation presented to obtain the Ph.D degree in Biochemistry

Identification of atmospheric pollutants control mechanisms during co-combustion of coal and non-toxic wastes

Doctoral dissertation for Ph.D. degree in Sustainable Chemistry

Adaptação cultural e contributo para a validação da escala petterns of activity measura - pain (POAM-P)

RESUMO: A dor lombar crónica (DLC) é uma das condições clínicas mais comuns e com elevados custos socioeconómicos no mundo ocidental. Estudos recentes indicam que os utentes com DLC apresentam diferentes padrões de atividade que influenciam os níveis de incapacidade funcional. Contudo, a evidência acerca destas associações é, ainda, limitada e inconclusiva. Em Portugal, não existe, do nosso conhecimento, nenhuma escala validada para a população portuguesa que meça estes padrões de atividade em utentes com DLC. Objetivos: Adaptar culturalmente a escala Patterns of Activity Measure – Pain (POAM-P) para a população portuguesa com dor lombar crónica inespecífica (DLCI) e contribuir para a sua validação. Metodologia: A versão original (inglesa) do POAM-P foi traduzida e adaptada para a língua portuguesa (POAM-P-VP) através de uma equipa multidisciplinar que incluiu tradutores, retrotradutores (cegos e independentes), peritos de diferentes áreas e utentes com DLCI, de acordo com as recomendações de linhas orientadoras atuais para este processo. A análise factorial e das propriedades psicométricas da POAM-P-VP contou com uma amostra de 132 utentes. A consistência interna foi analisada através do coeficiente alpha de Cronbach (α) e para a análise da fiabilidade teste-reteste recorreu-se ao coeficiente de correlação intraclasse (ICC:2,1). A análise da validade de construto convergente e discriminativa das componentes da POAM-P-VP foi conseguida através da aplicação da versão portuguesa da escala Tampa Scale of Kinesiophobia (TSK-13-VP), e recorrendo ao cálculo do coeficiente de Spearman. Todos os cálculos estatísticos foram realizados no software IBM SPSS Statistics (versão 20). Resultados: A análise factorial permitiu identificar três componentes da POAM-P-VP (evitamento, persistência excessiva e persistência consistente com a dor), sendo estruturalmente diferentes das subescalas do POAM-P original. Estas componentes apresentaram uma consistência interna boa a elevada. As componentes 1 e 2 apresentaram uma fiabilidade teste-reteste moderada a excelente, e a componente 3 uma fiabilidade teste-reteste pobre, limitando o seu poder de uso na prática clínica e em investigação. Relativamente à validade de construto, nenhuma das hipóteses estabelecidas no estudo apriori foram verificadas, não podendo aferir acerca da relação dos padrões de atividade com a cinesiofobia, medida pelo TSK-13-VP. Porém, a componente de evitamento da POAM-P-VP parece medir conteúdos partilhados com a TSK-13-VP (rs = 0.15, p<0.048). Conclusão: A adaptação e contributo para a validação da versão portuguesa da escala POAM-P constituiu um ponto de partida para a existência de um instrumento de medição de padrões de atividade de utentes portugueses com DLC, requerendo mais estudos para a sua validação. Apesar de algumas limitações, considera-se que este estudo é de grande importância para os fisioterapeutas e investigadores que buscam um maior conhecimento e efetividade das abordagens de intervenção em utentes com dor lombar crónica.-------------- ABSTRACT: Chronic low back pain (CLBP) is one of the most common clinical conditions as well as one with high economical costs within western countries. Recent studies have shown that patients with LBP present different patterns of activity which influence their levels of functional capacity. However, evidence on these associations is still limited and inconclusive. To our knowledge, there is in Portugal no valid scale for measuring these patterns of activity in CLBP patients. Purpose: Culturally adapt the Patterns of Activity Measure – Pain (POAM-P) scale to the Portuguese population with non-specific chronic low back pain (NSLBP) and contribute to its validation. Method: The original English version of POAM-P was blindly and independently translated, back translated and adapted to the Portuguese language (POAM-P-VP) by a multidisciplinary team of translators, experts from different fields, and patients with NSLBP, according to established guidelines for this process. Factorial and psychometric properties’ analysis of POAM-P-VP comprised a sample of 132 patients. The internal consistency was analyzed based on Cronbach's alpha-coefficient (α) and for test-retest reliability analysis the Intraclass Correlation Coefficient (ICC) was used. The analysis of convergent and discriminant construct validity of POAM-P-VP components was achieved through the use of the Portuguese version of the Tampa Scale of Kinesiophobia (TSK-13-VP), using the Spearman coefficient calculation. All statistical calculations were performed using IBM SPSS Statistics software (v.20). Results: The factor analysis allowed for the identification of three components of POAM-P-VP (avoidance, excessive persistence and pain-contingent persistence), structurally different from the original POAM-P subscales. These components demonstrated a good to high level of internal consistency. Components 1 and 2 demonstrated moderate to excellent test-retest reliability, whereas component 3 presented low test-retest reliability thus limiting its clinical and investigative use. With regard to construct validity, none of the previously established hypothesis was verified, therefore not making it possible to assess the relation between activity patterns and kinesiophobia, measured by TSK-13-VP. However, the avoidance component of POAM-P-VP seems to share measurable contents with TSK-13-VP (rs = 0.15, p<0.048). Conclusion: The adaptation and contribution to the validation of the Portuguese version of POAM-P scale, sets a starting point to the existence of a useful instrument for measuring activity patterns in Portuguese CLBP patients, requiring further studies towards its validation. Despite some limitations, this study is considered of high importance to physiotherapists as well as investigators in search of deeper knowledge and effective practical approaches on chronic low back pain patients.

Credit cycle identification: A Markov-switching application

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

In-School CSR and its impact on brand image, brand identification and brand reputation: The moderator effect of brand familiarity, product involvement and cause-brand fit

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

Social entrepreneurship as a solution provider for ageing societies in Europe

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

Spectroscopic characterization of natural dyes by their non-invasive identification on pre-Columbian codices: the Maya yellow

Mesoamerican cultures had a strong tradition of written and pictorial manuscripts, called the codices. In studies already performed it was found the use of Maya Blue, made from a mixture of indigo and a clay called palygorskite, forming an incredibly stable material where the dye is trapped inside the nanotubes of the clay, after heating. However, a bigger challenge lies in the study of the yellows used, for these civilizations might have used this clay-dye mixture to produce their yellow colorants. As a first step, it was possible to provide identification, by non-invasive methods, of two colorants (a flavonoid and a carotenoid). While the flavonoid absorbed between 368-379 nm, the carotenoid would absorb around 455 nm. A temperature study also conducted allowed to set 140ºC as the desirable temperature to heat the samples without degrading them. FT-IR, conventional Raman and SERS allowed us to understand the existence of a reaction between the dyes and the clays (palygorskite and kaolinite), however it is difficult to understand it in a molecular point of view. As a second step, five species of Mexican dyes were selected on the basis of historical sources. The Maya yellow samples were produced adapting the recipe proposed by Reyes-Valerio, supporting the yellow dyes extracted from the dried plants on the clays, with addition of water, and then heated at 140ºC. It was found that the addition of water in palygorskite would increase the pH, hence deprotonating the molecules having a clear negative effect in the color. A second recipe was developed, without the addition of water; however, it was found that the use of water based binders would still alter the color of the samples with palygorskite. In this case, kaolinite without heating yield better results as a Maya yellow hybrid. It was found that the Maya chemistry might not have been the same for all the colors. The Mesoamericans might have found that different dyes could work better to their desires if matched with different clays. It was noticeable that for a clear distinction between flavonoids and carotenoids the reflectance and emission studies suffice, but when clay is added, Raman techniques will perform better. For this reason, conventional Raman and SERS were employed in order to create a database for the Mesoamerican dyestuffs for a future identification.

A solution for estimates in software development projects

The Corporate world is becoming more and more competitive. This leads organisations to adapt to this reality, by adopting more efficient processes, which result in a decrease in cost as well as an increase of product quality. One of these processes consists in making proposals to clients, which necessarily include a cost estimation of the project. This estimation is the main focus of this project. In particular, one of the goals is to evaluate which estimation models fit the Altran Portugal software factory the most, the organization where the fieldwork of this thesis will be carried out. There is no broad agreement about which is the type of estimation model more suitable to be used in software projects. Concerning contexts where there is plenty of objective information available to be used as input to an estimation model, model-based methods usually yield better results than the expert judgment. However, what happens more frequently is not having this volume and quality of information, which has a negative impact in the model-based methods performance, favouring the usage of expert judgement. In practice, most organisations use expert judgment, making themselves dependent on the expert. A common problem found is that the performance of the expert’s estimation depends on his previous experience with identical projects. This means that when new types of projects arrive, the estimation will have an unpredictable accuracy. Moreover, different experts will make different estimates, based on their individual experience. As a result, the company will not directly attain a continuous growing knowledge about how the estimate should be carried. Estimation models depend on the input information collected from previous projects, the size of the project database and the resources available. Altran currently does not store the input information from previous projects in a systematic way. It has a small project database and a team of experts. Our work is targeted to companies that operate in similar contexts. We start by gathering information from the organisation in order to identify which estimation approaches can be applied considering the organization’s context. A gap analysis is used to understand what type of information the company would have to collect so that other approaches would become available. Based on our assessment, in our opinion, expert judgment is the most adequate approach for Altran Portugal, in the current context. We analysed past development and evolution projects from Altran Portugal and assessed their estimates. This resulted in the identification of common estimation deviations, errors, and patterns, which lead to the proposal of metrics to help estimators produce estimates leveraging past projects quantitative and qualitative information in a convenient way. This dissertation aims to contribute to more realistic estimates, by identifying shortcomings in the current estimation process and supporting the self-improvement of the process, by gathering as much relevant information as possible from each finished project.

Context-based identification of energy consumption in industrial plants

Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.

Botnet cluster identification

Botnets are a group of computers infected with a specific sub-set of a malware family and controlled by one individual, called botmaster. This kind of networks are used not only, but also for virtual extorsion, spam campaigns and identity theft. They implement different types of evasion techniques that make it harder for one to group and detect botnet traffic. This thesis introduces one methodology, called CONDENSER, that outputs clusters through a self-organizing map and that identify domain names generated by an unknown pseudo-random seed that is known by the botnet herder(s). Aditionally DNS Crawler is proposed, this system saves historic DNS data for fast-flux and double fastflux detection, and is used to identify live C&Cs IPs used by real botnets. A program, called CHEWER, was developed to automate the calculation of the SVM parameters and features that better perform against the available domain names associated with DGAs. CONDENSER and DNS Crawler were developed with scalability in mind so the detection of fast-flux and double fast-flux networks become faster. We used a SVM for the DGA classififer, selecting a total of 11 attributes and achieving a Precision of 77,9% and a F-Measure of 83,2%. The feature selection method identified the 3 most significant attributes of the total set of attributes. For clustering, a Self-Organizing Map was used on a total of 81 attributes. The conclusions of this thesis were accepted in Botconf through a submited article. Botconf is known conferênce for research, mitigation and discovery of botnets tailled for the industry, where is presented current work and research. This conference is known for having security and anti-virus companies, law enforcement agencies and researchers.

(Un)ethical leadership, organizational identification and sensemaking: the BES case and its impact on employees

This paper provides an ongoing analysis to one of the biggest ethical and financial scandals in Portugal – Banco Espírito Santo (BES). BES was considered one of the three best banks but it went bankrupted and its employees were transferred to a new entity – Novo Banco. This study was conducted in order to provide an understanding of the employees’ side, which has been forgotten so far. An ethical scandal (sensebreaking) creates ambiguity and uncertainty which triggers new sensemaking processes in order to understand and derive meaning from the new reality. The methodology followed was semi-structured interviews to employees both from the branches and the central services. We found evidence that in organizations with strong identification, unethical behavior has a significant impact on followers’ – the new process of sensemaking is particularly important in this situation because employees suffer more from the disruption of their reality.

Evolutionary dynamics of Chlamydia trachomatis genome and identification of molecular patterns of hypothetical protein coding genes

The obligate intracellular bacterium Chlamydia trachomatis is a human pathogen of major public health significance. Strains can be classified into 15 main serovars (A to L3) that preferentially cause ocular infections (A-C), genital infections (D-K) or lymphogranuloma venereum (LGV) (L1-L3), but the molecular basis behind their distinct tropism, ecological success and pathogenicity is not welldefined. Most chlamydial research demands culture in eukaryotic cell lines, but it is not known if stains become laboratory adapted. By essentially using genomics and transcriptomics, we aimed to investigate the evolutionary patterns underlying the adaptation of C. trachomatis to the different human tissues, given emphasis to the identification of molecular patterns of genes encoding hypothetical proteins, and to understand the adaptive process behind the C. trachomatis in vivo to in vitro transition. Our results highlight a positive selection-driven evolution of C. trachomatis towards nichespecific adaptation, essentially targeting host-interacting proteins, namely effectors and inclusion membrane proteins, where some of them also displayed niche-specific expression patterns. We also identified potential "ocular-specific" pseudogenes, and pointed out the major gene targets of adaptive mutations associated with LGV infections. We further observed that the in vivo-derived genetic makeup of C. trachomatis is not significantly compromised by its long-term laboratory propagation. In opposition, its introduction in vitro has the potential to affect the phenotype, likely yielding virulence attenuation. In fact, we observed a "genital-specific" rampant inactivation of the virulence gene CT135, which may impact the interpretation of data derived from studies requiring culture. Globally, the findings presented in this Ph.D. thesis contribute for the understanding of C.trachomatis adaptive evolution and provides new insights into the biological role of C. trachomatishypothetical proteins. They also launch research questions for future functional studies aiming toclarify the determinants of tissue tropism, virulence or pathogenic dissimilarities among C. trachomatisstrains.