Efeito da ligadura de reposicionamento do perónio em basquetebolistas adultos com instabilidade crónica da tibiotársica

Introdução: A instabilidade crónica da tibiotársica apresenta uma elevada incidência e prevalência nos basquetebolistas, pelo que é fundamental aprofundar as estratégias existentes para a redução das limitações funcionais e mecânicas decorrentes desta condição. Objetivo: comparar o efeito da ligadura de reposicionamento do perónio segundo Mulligan com o de uma ligadura placebo imediatamente após a sua aplicação e após o teste de corrida (Yo-Yo IRT). Metodologia: Estudo cruzado de amostras emparelhadas. Participantes: 16 basquetebolistas adultos (10 homens, 6 mulheres) com instabilidade crónica da tibiotársica com idade média de 21,50 ± 2,76 anos. Procedimentos de avaliação e intervenção: Avaliação do controlo postural estático (teste de apoio unipodal com os olhos fechados numa plataforma de forças durante 15 segundos), performance funcional (hop test em 8 e hop test lateral) e controlo neuromuscular (tempo de latência do músculo longo peronial durante o movimento de inversão repentina) em duas sessões: Mulligan e Placebo. Resultados: Em ambos Hop tests não houve um efeito significativo para o fator ligadura (p>0,17) mas houve para o fator tempo (p<0,03). No tempo de latência do músculo longo peronial, houve um efeito significativo para o fator tempo (p=0,042) e interação significativa entre os dois fatores (p=0,028). Em relação ao controlo postural, nas variáveis de deslocamento do CoP em x e y, área de deslocamento do CoP, velocidade de deslocamento do CoP, e comprimento total do CoP não houve nenhum efeito significativo (p≥0,10). Conclusão: Não há diferenças no controlo postural estático nem na performance funcional de basquetebolistas com instabilidade crónica da tibiotársica entre a ligadura de reposicionamento do perónio de Mulligan e uma ligadura placebo. Contudo, a ligadura de Mulligan parece reduzir o tempo de latência do longo peronial após a corrida quando comparada com uma ligadura placebo.

Context-awareness privacy in data communications

Internet users consume online targeted advertising based on information collected about them and voluntarily share personal information in social networks. Sensor information and data from smart-phones is collected and used by applications, sometimes in unclear ways. As it happens today with smartphones, in the near future sensors will be shipped in all types of connected devices, enabling ubiquitous information gathering from the physical environment, enabling the vision of Ambient Intelligence. The value of gathered data, if not obvious, can be harnessed through data mining techniques and put to use by enabling personalized and tailored services as well as business intelligence practices, fueling the digital economy. However, the ever-expanding information gathering and use undermines the privacy conceptions of the past. Natural social practices of managing privacy in daily relations are overridden by socially-awkward communication tools, service providers struggle with security issues resulting in harmful data leaks, governments use mass surveillance techniques, the incentives of the digital economy threaten consumer privacy, and the advancement of consumergrade data-gathering technology enables new inter-personal abuses. A wide range of fields attempts to address technology-related privacy problems, however they vary immensely in terms of assumptions, scope and approach. Privacy of future use cases is typically handled vertically, instead of building upon previous work that can be re-contextualized, while current privacy problems are typically addressed per type in a more focused way. Because significant effort was required to make sense of the relations and structure of privacy-related work, this thesis attempts to transmit a structured view of it. It is multi-disciplinary - from cryptography to economics, including distributed systems and information theory - and addresses privacy issues of different natures. As existing work is framed and discussed, the contributions to the state-of-theart done in the scope of this thesis are presented. The contributions add to five distinct areas: 1) identity in distributed systems; 2) future context-aware services; 3) event-based context management; 4) low-latency information flow control; 5) high-dimensional dataset anonymity. Finally, having laid out such landscape of the privacy-preserving work, the current and future privacy challenges are discussed, considering not only technical but also socio-economic perspectives.

Digital nonlinear equalization for optical transmission systems

This thesis focuses on digital equalization of nonlinear fiber impairments for coherent optical transmission systems. Building from well-known physical models of signal propagation in single-mode optical fibers, novel nonlinear equalization techniques are proposed, numerically assessed and experimentally demonstrated. The structure of the proposed algorithms is strongly driven by the optimization of the performance versus complexity tradeoff, envisioning the near-future practical application in commercial real-time transceivers. The work is initially focused on the mitigation of intra-channel nonlinear impairments relying on the concept of digital backpropagation (DBP) associated with Volterra-based filtering. After a comprehensive analysis of the third-order Volterra kernel, a set of critical simplifications are identified, culminating in the development of reduced complexity nonlinear equalization algorithms formulated both in time and frequency domains. The implementation complexity of the proposed techniques is analytically described in terms of computational effort and processing latency, by determining the number of real multiplications per processed sample and the number of serial multiplications, respectively. The equalization performance is numerically and experimentally assessed through bit error rate (BER) measurements. Finally, the problem of inter-channel nonlinear compensation is addressed within the context of 400 Gb/s (400G) superchannels for long-haul and ultra-long-haul transmission. Different superchannel configurations and nonlinear equalization strategies are experimentally assessed, demonstrating that inter-subcarrier nonlinear equalization can provide an enhanced signal reach while requiring only marginal added complexity.