Medicinal plants: Past and present uses in several communities from the North-eastern Portugal

XX Symposium of Brazilian Medicinal Plants & X International Congress of Ethnopharmacology. S. Paulo, Brasil.

The Cristo Rei section (Lower Miocene). Distal fluviatile environments in a marine series, plants, vertebrates and other evidence, age

The section at Cristo Rei shows sandy beds with intercalated clayey lenses (IVb division from the Lisbon Miocene series) that correspond to a major regression event dated from between ca. 17.6 and 17 Ma. They also correspond to a distal position (relatively to the typical fluviatile facies in Lisbon), nearer the basin's axis. Geologic data and paleontological analysis (plant fossils, fishes, crocodilians, land mammals) allow the reconstruction of environments that were represented in the concerned area: estuary with channels and ox-bows; upstream, areas occupied by brackish waters where Gryphaea griphoides banks developped; still farther upstream, freshwaters sided by humid forests and low mountain subtropical forests under warm temperate and rainy conditions, as well as not far away, seasonally dry environments (low density tree or shrub cover, or steppe).

Intelligent decision support systems for collaboration in industrial plants

Dissertação apresentada para obtenção do Grau de Doutor em Sistemas de Informação Industriais, Engenharia Electrotécnica, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Responses of higher plants to boron deficiency

Dissertation presented to obtain the degree of Doctorate in Biochemistry by Instituto de Tecnologia Química e Biológica of Universidade Nova de Lisboa

Modelling of the kinetics of municipal solid waste composting in full-scale mechanical-biological treatment plants

A thesis submitted in fulfilment of the requirements for the Degree of Doctor of Philosophy in Sanitary Engineering in the Faculty of Sciences and Technology of the New University of Lisbon

Risk-based decision support system for life cycle management of industrials plants

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

Evaluation of neuroprotective potential of plyphenols derived from Portuguese native plants: Juniperus sp. and Rubus sp.

Dissertation presented to obtain the Ph.D degree in Biochemistry

Study on the valorization routes of ashes from thermoelectric power plants working under mono-and co-combustion regimes

Thesis submitted to obtain the Doctoral degree in Energy and Bioenergy

Estudo da actividade angiogénica na nurse cell de trichinella spiralis no decurso da triquinelose em modelo roedor

A triquinelose é uma zoonose parasitária que é transmitida aos humanos e animais, através da ingestão de carne crua ou insuficientemente cozinhada, que contenha larvas infectantes de Trichinella spp., sendo actualmente considerada uma doença emergente e/ou re-emergente. O sucesso do parasitismo do nemátode Trichinella spiralis está intimamente ligado com o processo de angiogénese, ou seja, a formação de novos vasos a partir de vasos pré-existentes. Com o objectivo de estudar a actividade angiogénica na nurse cell de T. spiralis, realizaram-se técnicas imunohistoquímicas e imunofluorescentes para o factor de crescimento endotelial vascular (VEGF), molécula-1 de adesão celular endotelial a plaquetas (PECAM-1) e actina músculo liso (AML), em tecido muscular de Rattus rattus infectado com T. spiralis. Através destas técnicas observou-se marcação intensa no infiltrado inflamatório adjacente à nurse cell e também na larva. Já o citoplasma da nurse cell apresentou uma marcação moderada. Este padrão de marcação manteve-se desde os 45 até aos 120 dias após a infecção. A avaliação da densidade vascular (PECAM-1) e da densidade da expressão de células positivas para AML permitiu estabelecer uma correlação positiva entre o aumento da densidade vascular e o número de dias de infecção. Adicionalmente estabeleceu-se uma correlação negativa entre o aumento da densidade de células que expressam AML e o número de dias de infecção. Os resultados indicam uma produção constante de VEGF pela larva, pelo citoplasma da nurse cell e pelo hospedeiro (infiltrado inflamatório), durante todo período de infecção, levando à formação de uma rede vascular crescente (com um aumento médio de 79% face ao controlo), acompanhada de células murais que promovem a sua estabilização (com um aumento médio de 50% face ao controlo) com particular incidência no primeiro período estudado (45 a 55 dias).

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.