Psicomotricidade e resiliência em crianças brasileiras e portuguesas: um estudo comparativo para a melhoria no ensino-aprendizagem

O presente trabalho tem como objetivo avaliar a eficácia da aplicação de um programa que visa o desenvolvimento psicomotor e a resiliência em crianças brasileiras (de classes desfavorecidas) e portuguesas (meio rural). Foram implementados 3 estudos: no primeiro, exploratório, foi realizado um programa de intervenção na área da resiliência com 76 crianças portuguesas e 151 crianças brasileiras com idades entre os 3 e os 5 anos de idade, divididas em Grupo Experimental (submetido ao programa de intervenção Strong Start Pré- K, da Universidade do Oregon, adaptado às realidades portuguesa e brasileira) e Grupo Controlo (sem intervenção),avaliadas pelo questionário WeBeST (Well-Being Screening Tool) antes e depois da intervenção. O segundo estudo realizado numa ONG brasileira pretende avaliar o efeito da psicomotricidade e foi dividido em duas fases: fase A, que contou 32 crianças brasileiras de 5 anos de idade, que frequentam a Instituição em período integral e 28 crianças que frequentam em meio período. Na fase B foi aplicado um programa de intervenção (nas 28 crianças da fase A) para se avaliar o efeito dessa intervenção. O instrumento de avaliação utilizado na área foi o Inventário Portage, adaptado e operacionalizado para a população brasileira, que consta de 580 itens divididos em seis áreas (Autocuidados, Cognição, Desenvolvimento Motor, Estimulação Infantil, Linguagem e Socialização). O terceiro estudo avaliou apenas nas crianças de 5 anos, os efeitos da resiliência e psicomotricidade nas 28 crianças brasileiras da fase A e B (do estudo 2) e em 35 crianças portuguesas (do estudo 1). Pudemos constatar no primeiro estudo que quer as crianças portuguesas, quer as brasileiras submetidas ao programa de intervenção na área da resiliência obtiveram melhores resultados que as não submetidas ao mesmo programa. Quanto aos resultados obtidos na fase A do segundo estudo na área da psicomotricidade, as crianças da ONG brasileira, que frequentavam o período integral obtiveram melhores resultados que as não requentavam. Já na fase B, estas ao serem submetidas ao programa de intervenção específico, obtiveram resultados significativos, o que sugere que o Programa de intervenção foi eficaz, quer para as crianças que o tiveram anteriormente no período integral, quer para as que foram submetidas a ele na fase posterior. No último estudo, as crianças brasileiras apresentaram melhores resultados que as portuguesas. Não foi possível fazer um estudo comparativo entre Portugal e Brasil, relativamente à área da psicomotricidade, visto que na realidade portuguesa, desde os anos 70 é obrigatória na educação pré-escolar a psicomotricidade. São referidas algumas implicações psicopedagógicas resultantes deste tipo de intervenção, perspetivando a melhoria da qualidade de ensino e aprendizagem e o desenvolvimento de personalidades resilientes das crianças.

Network virtualisation from an operator perspective

Network virtualisation is seen as a promising approach to overcome the so-called “Internet impasse” and bring innovation back into the Internet, by allowing easier migration towards novel networking approaches as well as the coexistence of complementary network architectures on a shared infrastructure in a commercial context. Recently, the interest from the operators and mainstream industry in network virtualisation has grown quite significantly, as the potential benefits of virtualisation became clearer, both from an economical and an operational point of view. In the beginning, the concept has been mainly a research topic and has been materialized in small-scale testbeds and research network environments. This PhD Thesis aims to provide the network operator with a set of mechanisms and algorithms capable of managing and controlling virtual networks. To this end, we propose a framework that aims to allocate, monitor and control virtual resources in a centralized and efficient manner. In order to analyse the performance of the framework, we performed the implementation and evaluation on a small-scale testbed. To enable the operator to make an efficient allocation, in real-time, and on-demand, of virtual networks onto the substrate network, it is proposed a heuristic algorithm to perform the virtual network mapping. For the network operator to obtain the highest profit of the physical network, it is also proposed a mathematical formulation that aims to maximize the number of allocated virtual networks onto the physical network. Since the power consumption of the physical network is very significant in the operating costs, it is important to make the allocation of virtual networks in fewer physical resources and onto physical resources already active. To address this challenge, we propose a mathematical formulation that aims to minimize the energy consumption of the physical network without affecting the efficiency of the allocation of virtual networks. To minimize fragmentation of the physical network while increasing the revenue of the operator, it is extended the initial formulation to contemplate the re-optimization of previously mapped virtual networks, so that the operator has a better use of its physical infrastructure. It is also necessary to address the migration of virtual networks, either for reasons of load balancing or for reasons of imminent failure of physical resources, without affecting the proper functioning of the virtual network. To this end, we propose a method based on cloning techniques to perform the migration of virtual networks across the physical infrastructure, transparently, and without affecting the virtual network. In order to assess the resilience of virtual networks to physical network failures, while obtaining the optimal solution for the migration of virtual networks in case of imminent failure of physical resources, the mathematical formulation is extended to minimize the number of nodes migrated and the relocation of virtual links. In comparison with our optimization proposals, we found out that existing heuristics for mapping virtual networks have a poor performance. We also found that it is possible to minimize the energy consumption without penalizing the efficient allocation. By applying the re-optimization on the virtual networks, it has been shown that it is possible to obtain more free resources as well as having the physical resources better balanced. Finally, it was shown that virtual networks are quite resilient to failures on the physical network.

Trophic plasticity in the cnidarian-dinoflagellate symbiosis

Coral reefs are of utmost ecological and economical importance but are currently in global decline due to climate change and anthropogenic disturbances. Corals, as well as other cnidarian species, live in symbiosis with photosynthetic dinoflagellates of the genus Symbiodinium. This relationship provides the cnidarian host with alternative metabolic pathways, as the symbionts translocate photosynthetic carbon to the animal. Besides this autotrophic nutrition mode, symbiotic cnidarians also take up organic matter from the environment (heterotrophy). The nutritional balance between auto- and heterotrophy is critical for the functioning, fitness and resilience of the cnidariandinoflagellate symbiosis. New methodological approaches were developed to better understand the role of auto- and heterotrophy in the ecophysiology of cnidarians associated with Symbiodinium, and the ecological implications of this trophic plasticity. Specifically, the new approaches were developed to assess photophysiology, biomass production of the model organism Aiptasia sp. and molecular tools to investigate heterotrophy in the cnidarian-dinoflagellate symbiosis. Using these approaches, we were able to non-invasively assess the photophysiological spatial heterogeneity of symbiotic cnidarians and identify spatial patterns between chlorophyll fluorescence and relative content of chlorophyll a and green-fluorescent proteins. Optimal culture conditions to maximize the biomass production of Aiptasia pallida were identified, as well as their implications on the fatty acid composition of the anemones. Molecular trophic markers were used to determine prey digestion times in symbiotic cnidarians, which vary between 1-3 days depending on prey species, predator species and the feeding history of the predator. This method was also used to demonstrate that microalgae is a potential food source for symbiotic corals. By using a stable isotope approach to assess the trophic ecology of the facultative symbiotic Oculina arbuscula in situ, it was possible to demonstrate the importance of pico- and nanoplanktonic organisms, particularly autotrophic, in the nutrition of symbiotic corals. Finally, we showed the effects of functional diversity of Symbiodinium on the nutritional plasticity of the cnidarian-dinoflagellate symbiosis. Symbiont identity defines this plasticity through its individual metabolic requirements, capacity to fix carbon, quantity of translocated carbon and the host’s capacity to feed and digest prey.

Role of climate on barn owls road-kill likelihood and the effect on population viability in future climate change

Roads represent a new source of mortality due to animal-vehicle risk of collision threatening log-term populations’ viability. Risk of road-kill depends on species sensitivity to roads and their specific life-history traits. The risk of road mortality for each species depends on the characteristics of roads and bioecological characteristics of the species. In this study we intend to know the importance of climatic parameters (temperature and precipitation) together with traffic and life history traits and understand the role of drought in barn owl population viability, also affected by road mortality in three scenarios: high mobility, high population density and the combination of previous scenarios (mixed) (Manuscript). For the first objective we correlated the several parameters (climate, traffic and life history traits). We used the most correlated variables to build a predictive mixed model (GLMM) the influence of the same. Using a population model we evaluated barn owl population viability in all three scenarios. Model revealed precipitation, traffic and dispersal have negative relationship with road-kills, although the relationship was not significant. Scenarios showed different results, high mobility scenario showed greater population depletion, more fluctuations over time and greater risk of extinction. High population density scenario showed a more stable population with lower risk of extinction and mixed scenario showed similar results as first scenario. Climate seems to play an indirect role on barn owl road-kills, it may influence prey availability which influences barn owl reproductive success and activity. Also, high mobility scenario showed a greater negative impact on viability of populations which may affect their ability and resilience to other stochastic events. Future research should take in account climate and how it may influence species life cycles and activity periods for a more complete approach of road-kills. Also it is important to make the best mitigation decisions which might include improving prey quality habitat.