5 resultados para Perspectives futures
em RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal
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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
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My aim was to produce a dissertation, based on Rayuela, which focuses on Cortázar’s questioning of identity. With this objective in mind, I have studied some of the salient elements in the novel that relate to this topic and the subsequent, interrelated, areas of study that arose in doing so. The cities of Paris and Buenos Aires are placed in contrast within the novel and reflect a dichotomy that reflects Oliveira’s condition as a “foreigner,” (more specifically as a South American in Europe). This duality is further reflected in Cortázar’s use of gender, and the development of the notions of active and passive, and an investigation into the traditional modes of thought, symbols, and stereotypes, and an open-ended questioning of their validity. These topics are framed by a notion of Judeo-Christian History that is in many ways flawed and, as such, contrasts with a more intuitive (or “oriental”) perception of reality, which is centred in figures such as la Maga. I found many explicit references to Zen philosophy, and related oriental references, that led me to believe that this area was worthy of further investigation. Rayuela is considered a classic novel within the canon of Spanish language literature. It’s famous “tabla,” like the rules for a game between the writer and the receptor that produce alternative readings, has led to many discussions regarding the novel’s structure and form, and also created a certain amount of polemic with the use of concepts such as the “lector hembra.” Many consider Cortázar a greater short story writer than a novelist, but nevertheless this novel had a profound effect on young readers upon its publication, much to Cortázar’s surprise, and continues to attract readers, dealing as it does with issues that continue to be relevant to many people.
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Fundação para a Ciência e Tecnologia,
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ABSTRACT: Background. In India, prevalence rates of dementia and prodromal amnestic Mild Cognitive Impairment (MCI) are 3.1% and 4.3% respectively. Most Indians refer to the full spectrum of cognitive disorders simply as ‘memory loss.’ Barring prevention or cure, these conditions will rise rapidly with population aging. Evidence-based policies and practices can improve the lives of affected individuals and their caregivers, but will require timely and sustained uptake. Objectives. Framed by social cognitive theories of health behavior, this study explores the knowledge, attitudes and practices concerning cognitive impairment and related service use by older adults who screen positive for MCI, their primary caregivers, and health providers. Methods. I used the Montreal Cognitive Assessment to screen for cognitive impairment in memory camps in Mumbai. To achieve sampling diversity, I used maximum variation sampling. Ten adults aged 60+ who had no significant functional impairment but screened positive for MCI and their caregivers participated in separate focus groups. Four other such dyads and six doctors/ traditional healers completed in-depth interviews. Data were translated from Hindi or Marathi to English and analyzed in Atlas.ti using Framework Analysis. Findings. Knowledge and awareness of cognitive impairment and available resources were very low. Physicians attributed the condition to disease-induced pathology while lay persons blamed brain malfunction due to normal aging. Main attitudes were that this condition is not a disease, is not serious and/or is not treatable, and that it evokes stigma toward and among impaired persons, their families and providers. Low knowledge and poor attitudes impeded help-seeking. Conclusions. Cognitive disorders of aging will take a heavy toll on private lives and public resources in developing countries. Early detection, accurate diagnosis, systematic monitoring and quality care are needed to compress the period of morbidity and promote quality of life. Key stakeholders provide essential insights into how scientific and indigenous knowledge and sociocultural attitudes affect use and provision of resources.
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In this thesis, a feed-forward, back-propagating Artificial Neural Network using the gradient descent algorithm is developed to forecast the directional movement of daily returns for WTI, gold and copper futures. Out-of-sample back-test results vary, with some predictive abilities for copper futures but none for either WTI or gold. The best statistically significant hit rate achieved was 57% for copper with an absolute return Sharpe Ratio of 1.25 and a benchmarked Information Ratio of 2.11.