Assessing the effectiveness of chemical treatment with nanomaterials in improving the quality of different industrial effluents

Industrial activities are the major sources of pollution in all environments. Depending on the type of industry, various levels of organic and inorganic pollutants are being continuously discharged into the environment. Although, several kinds of physical, chemical, biological or the combination of methods have been proposed and applied to minimize the impact of industrial effluents, few have proved to be totally effective in terms of removal rates of several contaminants, toxicity reduction or amelioration of physical and chemical properties. Hence, it is imperative to develop new and innovative methodologies for industrial wastewater treatment. In this context nanotechnology arises announcing the offer of new possibilities for the treatment of wastewaters mainly based on the enhanced physical and chemical proprieties of nanomaterials (NMs), which can remarkably increase their adsorption and oxidation potential. Although applications of NMs may bring benefits, their widespread use will also contribute for their introduction into the environment and concerns have been raised about the intentional use of these materials. Further, the same properties that make NMs so appealing can also be responsible for producing ecotoxicological effects. In a first stage, with the objective of selecting NMs for the treatment of organic and inorganic effluents we first assessed the potential toxicity of nanoparticles of nickel oxide (NiO) with two different sizes (100 and 10-20 nm), titanium dioxide (TiO2, < 25 nm) and iron oxide (Fe2O3, ≈ 85x425 nm). The ecotoxicological assessment was performed with a battery of assays using aquatic organisms from different trophic levels. Since TiO2 and Fe2O3 were the NMs that presented lower risks to the aquatic systems, they were selected for the second stage of this work. Thus, the two NMs pre-selected were tested for the treatment of olive mill wastewater (OMW). They were used as catalyst in photodegradation systems (TiO2/UV, Fe2O3/UV, TiO2/H2O2/UV and Fe2O3/H2O2/UV). The treatments with TiO2 or Fe2O3 combined with H2O2 were the most efficient in ameliorating some chemical properties of the effluent. Regarding the toxicity to V. fischeri the highest reduction was recorded for the H2O2/UV system, without NMs. Afterwards a sequential treatment using photocatalytic oxidation with NMs and degradation with white-rot fungi was applied to OMW. This new approach increased the reduction of chemical oxygen demand, phenolic content and ecotoxicity to V. fischeri. However, no reduction in color and aromatic compounds was achieved after 21 days of biological treatment. The photodegradation systems were also applied to treat the kraft pulp mill and mining effluents. For the organic effluent the combination NMs and H2O2 had the best performances in reduction the chemical parameters as well in terms of toxicity reduction. However, for the mine effluent the best (TiO2/UV and Fe2O3/UV) were only able to significantly remove three metals (Zn, Al and Cd). Nonetheless the treatments were able of reducing the toxicity of the effluent. As a final stage, the toxicity of solid wastes formed during wastewater treatment with NMs was assessed with Chironomus riparius larvae, a representative species of the sediment compartment. Certain solid wastes showed the potential to negatively affect C. riparius survival and growth, depending on the type of effluent treated. This work also brings new insights to the use of NMs for the treatment of industrial wastewaters. Although some potential applications have been announced, many evaluations have to be performed before the upscaling of the chemical treatments with NMs.

Processamento de emoções em traumatismos crânio-encefálicos frontais

Os traumatismos crânio-encefálicos (TCE) são a causa mais frequente de lesão cerebral em jovens adultos, integrando o campo de intervenção mais frequente na prática neuropsicológica (Portellano, 2005), sendo o lobo frontal uma das estruturas cerebrais mais vulneráveis ao impacto que ocorre no cérebro durante um TCE. Lesões nesta estrutura cerebral estão frequentemente associadas a sequelas em diferentes funções cognitivas, alterações a nível do comportamento emocional e social e que podem alterar gravemente o estilo de vida do doente. Está bem documentado na literatura a relação entre o reconhecimento visual de emoções e o lobo frontal (ver, por exemplo Green, Turner, & Thompson, 2004; Croker & McDonald, 2005; Radice-Neumanet al., 2007). Os estudos indicam uma marcada dificuldade por partes destes sujeitos no reconhecimento visual de emoções básicas e uma associação entre esta dificuldade e as sequelas comportamentais (ver, por exemplo, Radice-Neumanet al., 2007). Relativamente à valência das emoções, investigações prévias indicam que existe uma maior dificuldade no reconhecimento das emoções negativas, comparativamente às emoções positivas, sendo consensual que a alegria é a emoção básica mais bem reconhecida no grupo clínico de sujeitos com TCE, quando comparados com grupos não-clínicos. Pretendemos com a presente investigação dar continuidade ao estudo sobre o processamento de emoções e verificar se existe um compromisso no reconhecimento visual de emoções básicas em doentes com TCE frontais. Adicionalmente, procuramos investigar se existe uma associação entre o reconhecimento de emoções e o desempenho dos sujeitos em provas que avaliam o funcionamento executivo. Participaram no estudo 17 sujeitos com TCE recente no lobo frontal, e/ou em regiões subcorticais com conexão aos lobos frontais, recrutados nas unidades de Neurotraumatologia, Neuropsicologia e de Neurocirurgia do Hospital de S. José, em Lisboa. Este grupo foi emparelhado a um grupo de controlo constituído por 17 sujeitos saudáveis. A ambos os grupos foi aplicada uma entrevista clínica para recolha de dados sócio-demográficos e clínicos, testes neuropsicológicos para avaliação das funções executivas e cinco sub-testes adaptados da Florida Affect Battery (FAB) para avaliar o processamento de emoções. No geral, os resultados revelam um desempenho estatisticamente inferior no grupo TCE nas provas de avaliação do reconhecimento visual de emoções, quando comparado com o grupo de controlo, sobretudo para as emoções “triste” e “zangada”. Contudo, não existe compromisso no reconhecimento da emoção “alegria”. Relativamente às funções executivas, os resultados do estudo indicam que existe correlação entre a maioria das componentes avaliadas e o reconhecimento de emoções. Em suma, o nosso estudo indica a existência de um compromisso no reconhecimento visual de emoções no grupo clínico com TCE, sendo a dificuldade superior no reconhecimento de emoções negativas. Demonstramos também uma correlação inequívoca entre a disfunção executiva e a dificuldade no reconhecimento de emoções nos doentes com TCE.

Défices no reconhecimento de expressões faciais emocionais e prosódia emocional nos traumatismos crânio encefálicos

Sujeitos com traumatismo crânio-encefálico (TCE) apresentam frequentemente défices no reconhecimento de emoções, sendo estas dificuldades marcadas principalmente pela existência de uma incapacidade em interpretar pistas não-verbais da emoção. Apesar do reconhecimento de emoções em expressões faciais ser largamente estudado, o mesmo não acontece com o reconhecimento da prosódia emocional e em menor grau com o reconhecimento de emoções pela modalidade audiovisual. A presente investigação utilizou a Florida Affect Battery para examinar o reconhecimento emocional nas modalidades visual, auditiva e audiovisual de 17 sujeitos com TCE (quatro com lesão no hemisfério direito, sete no hemisfério esquerdo e seis com lesão bilateral) e 17 sujeitos sem historial de lesão neurológica. No geral, o grupo TCE apresenta desempenhos inferiores no reconhecimento emocional em comparação com o grupo sem lesão. Um efeito de lateralidade hemisférica no reconhecimento emocional emerge com o grupo esquerdo e bilateral a apresentarem mais dificuldades quando comparados com o grupo sem lesão cerebral. Quando analisado os desempenhos dos sujeitos com TCE, considerando a valência emocional (positiva e negativa), verifica-se que quando a modalidade de apresentação é visual as emoções positivas (i.e. a alegria) são mais facilmente reconhecidas e quando a modalidade de apresentação é auditiva as emoções negativas apresentam uma vantagem no reconhecimento emocional. Adicionalmente, o grupo com lesão á direita apresenta desempenhos inferiores no reconhecimento de emoções positivas, enquanto o grupo esquerdo e bilateral apresenta desempenhos inferiores no reconhecimento de emoções negativas. No global, os resultados não apoiam as teorias da superioridade do hemisfério direito no reconhecimento emocional e nas emoções negativas, sugerindo que o processamento emocional implica uma vasta rede de estruturas neuronais, com envolvimento de ambos os hemisférios.

Estudo da Teoria da Mente (ToM) de acordo com os traços de personalidade e sintomatologia clínica

Dissertação de mestrado, Psicologia Clínica e da Saúde, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2015

Clima familiar relacional nas familias adoptivas

Tese de mestrado, Psicologia (Secção de Psicologia Clínica e da Saúde - Núcleo de Psicologia Clínica Sistémica), Universidade de Lisboa, Faculdade de Psicologia, 2010

Enabling solar electricity with electric vehicles in future energy systems

Tese de doutoramento, Sistemas Sustentáveis de Energia, Universidade de Lisboa, Faculdade de Ciências, 2015

Personality and performance on digit span tests in online and offline settings.

This paper describes two studies examining links between personality and performance on a cognitive test in online and laboratory settings. Study 1 was completed online. 345 participants passively recruited through a personality assessment website completed a Five Factor Model personality inventory derived from the International Personality Item Pool. They then completed an online text-based digit span test. This required participants to repeat increasingly longer strings of digits, either in the same order (forward) or in the opposite of the presentation order (reverse). Conventional digit span tasks ask participants to respond verbally; in this instance they responded by typing the digits. Agreeableness and Openness to Experience each had small but significant associations with forward and reverse digit span. In a second, laboratory based, study, 103 participants completed paper versions of the IPIP Five Factor inventory, the NEO-FFI, and a battery of cognitive tests including the WAIS 4 digit span test. In this instance, Agreeableness and Openness to Experience were not significantly correlated with digit span measures. Taken together, these studies suggest that personality characteristics may influence performance on an online cognitive test. This effect was not seen in an offline version of the study. The paper will consider potential implications for online testing, for equivalence of online and offline methods, and for links between personality and performance on this cognitive test.

The Data of Things: Strategies, Patterns and Practice of Cloud-based Participatory Sensing

The broad capabilities of current mobile devices have paved the way for Mobile Crowd Sensing (MCS) applications. The success of this emerging paradigm strongly depends on the quality of received data which, in turn, is contingent to mass user participation; the broader the participation, the more useful these systems become. However, there is an ongoing trend that tries to integrate MCS applications with emerging computing paradigms such as cloud computing. The intuition is that such a transition can significantly improve the overall efficiency while at the same time it offers stronger security and privacy-preserving mechanisms for the end-user. In this position paper, we dwell on the underpinnings of incorporating cloud computing techniques to facilitate the vast amount of data collected in MCS applications. That is, we present a list of core system, security and privacy requirements that must be met if such a transition is to be successful. To this end, we first address several competing challenges not previously considered in the literature such as the scarce energy resources of battery-powered mobile devices as well as their limited computational resources that they often prevent the use of computationally heavy cryptographic operations and thus offering limited security services to the end-user. Finally, we present a use case scenario as a comprehensive example. Based on our findings, we posit open issues and challenges, and discuss possible ways to address them, so that security and privacy do not hinder the migration of MCS systems to the cloud.

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations.

A biosignal embedded system for physiological computing

Thesis submitted in the fulfilment of the requirements for the Degree of Master in Electronic and Telecomunications Engineering

Dependência entre a performance de baterias VRLA e as características físico-químicas da matéria activa positiva

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Química e Biológica

Comparação técnica da conceção/solução de projetos de climatização para um hotel rural

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia com a Especialidade em Energia, Climatização e Refrigeração

Online intra-task device scheduling for hard real-time systems

A large part of power dissipation in a system is generated by I/O devices. Increasingly these devices provide power saving mechanisms, inter alia to enhance battery life. While I/O device scheduling has been studied in the past for realtime systems, the use of energy resources by these scheduling algorithms may be improved. These approaches are crafted considering a very large overhead of device transitions. Technology enhancements have allowed the hardware vendors to reduce the device transition overhead and energy consumption. We propose an intra-task device scheduling algorithm for real time systems that allows to shut-down devices while ensuring system schedulability. Our results show an energy gain of up to 90% when compared to the techniques proposed in the state-of-the-art.

Level monitoring system for waste oil containers: an EPS@ISEP project

Waste oil recycling companies play a very important role in our society. Competition among companies is tough and process optimization is essential for survival. By equipping oil containers with a level monitoring system that periodically reports the level and alerts when it reaches the preset threshold, the oil recycling companies are able to streamline the oil collection process and, thus, reduce the operation costs while maintaining the quality of service. This paper describes the development of this level monitoring system by a team of four students from different engineering backgrounds and nationalities. The team conducted a study of the state of the art, draw marketing and sustainable development plans and, finally, designed and implemented a prototype that continuously measures the container content level and sends an alert message as soon as it reaches the preset capacity.