Representações sociais dos estudantes universitários face a uma relação sexual ocasional

Dissertação apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Mestre em Psicologia especialização em Psicologia da Saúde e Intervenção Comunitária.

Avaliação dos Efeitos Toxicológicos Decorrentes do Consumo Humano de Lagostim Vermelho da Louisiana (Procambarus clarkii)

Monografia apresentada à Universidade Fernando Pessoa para obtenção do grau de Licenciado em Ciências Farmacêuticas

Relação entre Sistema Estomatognático e Postura Corporal

Trabalho apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Medicina Dentária

Considerações sobre o papel da química bioinorgânica na saúde

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

Networking protocols for long life wireless sensor networks

My original contribution to knowledge is the creation of a WSN system that further improves the functionality of existing technology, whilst achieving improved power consumption and reliability. This thesis concerns the development of industrially applicable wireless sensor networks that are low-power, reliable and latency aware. This work aims to improve upon the state of the art in networking protocols for low-rate multi-hop wireless sensor networks. Presented is an application-driven co-design approach to the development of such a system. Starting with the physical layer, hardware was designed to meet industry specified requirements. The end system required further investigation of communications protocols that could achieve the derived application-level system performance specifications. A CSMA/TDMA hybrid MAC protocol was developed, leveraging numerous techniques from the literature and novel optimisations. It extends the current art with respect to power consumption for radio duty-cycled applications, and reliability, in dense wireless sensor networks, whilst respecting latency bounds. Specifically, it provides 100% packet delivery for 11 concurrent senders transmitting towards a single radio duty cycled sink-node. This is representative of an order of magnitude improvement over the comparable art, considering MAC-only mechanisms. A novel latency-aware routing protocol was developed to exploit the developed hardware and MAC protocol. It is based on a new weighted objective function with multiple fail safe mechanisms to ensure extremely high reliability and robustness. The system was empirically evaluated on two hardware platforms. These are the application-specific custom 868 MHz node and the de facto community-standard TelosB. Extensive empirical comparative performance analyses were conducted against the relevant art to demonstrate the advances made. The resultant system is capable of exceeding 10-year battery life, and exhibits reliability performance in excess of 99.9%.

Power system parameters forecasting using Hilbert-Huang transform and machine learning

A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and a feature analysis of initial retrospective data using the Hilbert-Huang transform and machine learning algorithms. The random forests and gradient boosting trees learning techniques were examined. The decision tree techniques were used to rank the importance of variables employed in the forecasting models. The Mean Decrease Gini index is employed as an impurity function. The resulting hybrid forecasting models employ the radial basis function neural network and support vector regression. A part from introduction and references the paper is organized as follows. The second section presents the background and the review of several approaches for short-term forecasting of power system parameters. In the third section a hybrid machine learningbased algorithm using Hilbert-Huang transform is developed for short-term forecasting of power system parameters. Fourth section describes the decision tree learning algorithms used for the issue of variables importance. Finally in section six the experimental results in the following electric power problems are presented: active power flow forecasting, electricity price forecasting and for the wind speed and direction forecasting.

Art markets

SCOPUS: ch.b

The Aesthetics of Motion in Musics for the Mevlana Celal ed-Din Rumi

This dissertation investigates the concept of motion as a fundamental aesthetic element in the devotional music, dance, and rituals performed in honor of the celebrated thirteenth-century Persian mystic poet and saint, the Mevlana Celal ed-Din Muhammad Rumi. The main focus of the study is threefold. First, it investigates the prevalence of the notion of movement in Islamic music and culture, specifically within the Sufi communities of Turkey, in order to arrive at a broader understanding of the relationship between music, aesthetics, and worldview. Secondly, it explores how musical performance functions as a form of devotion or religious worship by focusing on the musical repertories performed in honor of a single holy figure, the Mevlana Rumi. Finally, it provides an ethnographic account of contemporary developments in Sufi musical culture in Turkey and across the world by describing the recent activities of the Mevlana's devotees, which includes members of the Mevlevi Order of Islamic mystics as well as adherents of other Sufi brotherhoods and followers of so-called New Religions or New Age. The primary research for this study involved two short one-month field trips to Turkey and India in 2002 and 2003, respectively, and a longer one year expedition to Turkey in 2004 and 2005, which also included shorter stays in Cyprus, Syria, and Egypt. Additionally, the dissertation draws directly from critical theories advanced in the fields of ethnomusicology, cultural anthropology, and ethnochoreology and focuses on the kinesthetic parameters of music, dance, trance, and ritual as well as on broader forms of socio-cultural movement including pilgrimage, cultural tourism, and globalization. These forms of movement are analyzed in four broad categories of music used in worship, including classical Mevlevi music, music of the zikr ceremony, popular musics, and non-Turkish musics.

On the contemporaneousness of Roger de Piles'Balance des peintres

SCOPUS: ch.b

Of Trustees and Offsprings: A Diasporic Trail of Parsi “Crisis” from Bombay to Hong Kong

This thesis examines the discourse(s) of crisis in the Parsi diaspora. Treating crisis as a common variable, rather than a singular and unique event across various Parsi communities, I investigate the dimensions of crisis that bind separated Parsi communities in anxiety through a shared language, cultural experience, and historical memory. Turning first to India and then Hong Kong as my case studies, I analyze “crisis,” that has often been identified in terms of demographic decay or postcolonial decline, in the context of more subtle debates around racial purity and trust funds. Crisis, for the Parsi diaspora, while indicating a critical moment in the present, also serves to reveal the underlying and pre-existing socio-economic and cultural tensions in the communities. Relying largely on life-story interviews, online blogs and articles, and archival work, I portray the crisis not as a unique and sporadic event, but rather as one of continuity and complexity, albeit manifesting each time in different and unique guises, that continues to disrupt as well as unite the Parsi diaspora today.

CABARET: MIRROR OF SOCIETIES

The basic definition of a cabaret is a café that offers live entertainment performed by singers, musicians and dancers and serves food and drink. It is generally housed in small, intimate spaces. Starting in the middle of the nineteenth century, artists, composers and writers met at Parisian cafés and salons to share their works. The cabaret was a suitable place for social activities. Artists could meet, discuss their opinions, and share their art in a relaxed setting. Even though cabaret music was often based on popular idioms, social and political commentary coupled with satirical settings represented the true soul of the genre. This trend flourished in the late nineteenth and early twentieth centuries. The first cabaret in Paris, Le Chat Noir inspired the growth of similar places in major cities throughout Europe besides Paris. The three recitals that comprise this dissertation project were performed at University of Maryland venues: the Robert & Arlene Kogod Theatre on 11 May 2011, Ulrich Recital Hall on 4 December 2011, and Gildenhorn Recital Hall on 4 March 2012. The repertoire for the first recital included works by Erik Satie with mezzo-soprano Monica Soto-Gil, Friedrich Hollaender with soprano Gabrielle DeMers, William Bolcom with baritone Ethan Watermeier and mezzo-soprano Stepanie Sadownik, and Poulenc with baritone Andrew McLaughlin. André Previn‘s Tango Song and Dance with violinist Jennifer Kim served as the instrumental interlude. The second recital included songs by Friedrich Hollaender with mezzo-soprano Monica Soto-Gil, Hanns Eisler and Viktor Ullmann with mezzo-soprano Stephanie Sadownik, and Mischa Spoliansky with soprano CarrieAnne Winter. Victor Hollaender‘s Romance and Albumblatt were the instrumental interludes with violinist Jennifer Kim. The last recital featured works for piano and violin, the Graceful Ghost Rag by William Bolcom with violinist Jenny Wu, Four Souvenirs by Paul Schoenfield with violinist Jennifer Kim, Cabaret Songs by Benjamin Britten with soprano Linda Mabbs, and Souvenirs for piano four-hands by Samuel Barber with pianist Rita Sloan. The recitals were recorded on compact discs and are archived within the Digital Repository at the University of Maryland (DRUM).

Drug Delivery through the Blood-Brain Barrier through Use of Vascular Cell Adhesion Molecule 1- Targeted Nanoparticles

The blood brain barrier (BBB) is a semi-permeable membrane separating the brain from the bloodstream, preventing many drugs that treat neurological diseases, such as Alzheimer’s and Parkinson’s, from reaching the brain. Our project aimed to create a novel drug delivery system targeting the brain during neural inflammation. We developed a cationic solid lipid nanoparticle (CSLN) complex composed of cationic nanoparticles, biotin, streptavidin, and anti-vascular cell adhesion molecule-1 (anti- VCAM-1) antibodies. The anti-VCAM-1 antibody is used to target VCAM-1, a cell adhesion protein found on the BBB endothelium. VCAM-1 expression is elevated in the presence of inflammatory molecules, such as tumor necrosis factor-alpha (TNF- α). Through the use of a simple BBB model, results showed that our novel drug delivery system experienced some level of success in targeting the brain inflammation due to increasing TNF-α concentrations. This is promising for drug delivery research and provides support for VCAM-1 targeting using more robust and complex BBB models.

Mapping the news on (social)-media. Methodological considerations for the analysis of local news networks.

info:eu-repo/semantics/nonPublished

Regarder des séries sur Internet. Enquête exploratoire sur les pratiques d'étudiants universitaires à Bruxelles.

info:eu-repo/semantics/published

A New Approach to Media Cluster Research: Bringing the Human Factor back into Scope

This paper is part of a collaborative project being undertaken by the three leading universities of Brussels, VUB, ULB and USL-B supported by Innnoviris. The project called Media Clusters Brussels - MCB - started in October 2014 with the goal to analyze the development of a Media Park around the two public broadcasters at the site of Reyers in Brussels being host of a media cluster in the capital city. Not only policymakers but also many authors recognized in the last decade that the media industry is characterized from a geographical point of view by a heavy concentration to a limited number of large cities, where media clusters have emerged (Karlsson & Picard, 2011). The common assumption about media clusters is that locating inside a regional agglomeration of related actors brings advantages for these firms. Especially, the interrelations and interactions between the actors on a social level matter for the shape and efficiency of the agglomerations (Picard, 2008). However, even though the importance of the actors and their interrelations has been a common assumption, many authors solely focus on the macro-economical aspects of the clusters. Within this paper, we propose to realize a socio-economical analysis of media clusters to make informed decisions in the development and so, bring the social (human) factor back into scope. Therefore, this article focuses on the development of a novel valuable framework, the so-called 7P framework with a multilevel and interdisciplinary approach, which includes three aspects, which have been identified as emerging success-factors of media clusters: partnerships, (media) professionals and positive spillovers.