Heterodoxias ou uma deserção sem fim

Prefácio de "Heterodoxias", Primeiro Volume das Obras Completas de Eduardo Lourenç

The role of target membrane sialic acid residues in the fusion activity of the influenza virus: the effect of two types of ganglioside on the kinetics of membrane merging

The influenza virus enters target cells via the action of hemagglutinin proteins (HA) inserted into the viral envelope. HA promotes membrane fusion between the viral envelope and endosomal membrane at low pH, following viral binding to sialic acid-containing receptors on target cells, and internalization by endocytosis. The effect of target membrane sialic acid residues on the fusion activity of the influenza virus towards model membranes was evaluated by both reduction, (i.e. treating somatic cells with neuraminidase- (NA-) prior to virus-cell interactions), and by supplementing liposomes with the gangliosides GD1a and GT1b. The harshness of the neuraminidase pretreatment of target cells required to affect virus-induced membrane merging was found to greatly depend on the assay conditions, i.e. whether a virus-cell prebinding step at neutral pH was included prior to acidification. Minor concentrations of neuraminidase were found to greatly reduce virus fusion, but only in the absence of a prebinding step; they had no effect if this step was included. Although membrane merging was greatly reduced following cell neuraminidase pretreatment, virus-cell association at low pH was not disturbed proportionately. This probably reflects unspecific virus-cell binding under these conditions, probably of inactivated or aggregated virus particles, which does not translate into membrane merging. This seems to suggest both that target membrane sialic acid can protect the virus from losing its activity before triggering membrane merging, and that the importance of this interaction is not merely to ensure virus-target proximity. With liposomes, we found that both types of ganglioside supported efficient fusion, with GD1a promoting a slightly faster initial rate. However, in this case, virus-target proximity closely mirrored fusion activity, thus pointing to differential specificity between targets routinely used to assay influenza virus fusion activit

Detection of abnormalities in ECG using Deep Learning

A significant part of healthcare is focused on the information that the physiological signals offer about the health state of an individual. The Electrocardiogram (ECG) cyclic behaviour gives insight on a subject’s emotional, behavioral and cardiovascular state. These signals often present abnormal events that affects their analysis. Two examples are the noise, that occurs during the acquisition, and symptomatic patterns, that are produced by pathologies. This thesis proposes a Deep Neural Networks framework that learns the normal behaviour of an ECG while detecting abnormal events, tested in two different settings: detection of different types of noise, and; symptomatic events caused by different pathologies. Two algorithms were developed for noise detection, using an autoencoder and Convolutional Neural Networks (CNN), reaching accuracies of 98,18% for the binary class model and 70,74% for the multi-class model, which is able to discern between base wandering, muscle artifact and electrode motion noise. As for the arrhythmia detection algorithm was developed using an autoencoder and Recurrent Neural Networks with Gated Recurrent Units (GRU) architecture. With an accuracy of 56,85% and an average sensitivity of 61.13%, compared to an average sensitivity of 75.22% for a 12 class model developed by Hannun et al. The model detects 7 classes: normal sinus rhythm, paced rhythm, ventricular bigeminy, sinus bradycardia, atrial fibrillation, atrial flutter and pre-excitation. It was concluded that the process of learning the machine learned features of the normal ECG signal, currently sacrifices the accuracy for higher generalization. It performs better at discriminating the presence of abnormal events in ECG than classifying different types of events. In the future, these algorithms could represent a huge contribution in signal acquisition for wearables and the study of pathologies visible in not only in ECG, but also EMG and respiratory signals, especially applied to active learning

A Aviação Civil Em Cabo Verde, A Sua Evolução Histórica Rumo A Uma Política De Liberalização Do Espaço Aéreo

Este trabalho pretende mostrar a evolução histórica da aviação civil em Cabo Verde, os benefícios socio-económicos de uma política de liberalização dos transportes aéreos com os Estados Unidos, com o continente Africano e esperemos que brevemente seja rubricado um acordo de Opens Skies com a União Europeia. Aponta o valor do Turismo e o papel dos transportes aéreos na inserção de Cabo Verde na economia mundial. Trata-se de um trabalho de fim do Curso de Pós-Graduação em Direito Aéreo, no ISCJS e que defende que uma das vias para que o país atinja os objectivos do século XXI, seja pela via de uma política de Open Skyes no ramo dos transportes aéreos. Sobe o ponto de vista do Direito Aéreo, o trabalho mostra que uma das características principais do transporte aéreo é a padronização/harmonização das normas técnicas e económicas. No que concerne ao ambiente regulatório, o transporte aéreo encontra-se dividido em três níveis: nacional, bilateral, multilateral. A nível nacional, a autoridade de aviação civil nacional de Cabo Verde (AAC) é a responsável pela regulação do acesso básico ao mercado interno por companhias aéreas internacionais. No que tange a regulação bilateral não existe uma autoridade reguladora específica. Assim sendo, a regulação bilateral é remetida aos costumes. Na regulação multilateral destacam-se o papel da OACI (Organização de Aviação Civil Internacional) e a IATA (Internacional Air Transport Association). Sobre a regulação económica, a OACI estipulou dez princípios, tendo como o acesso básico aos mercados, através das liberdades do ar, tráfego e exploração, como base para determinar o nível da competição internacional. Apesar da tendência de liberalização total dos acessos básicos aos mercados internacionais, cada Estado será soberano para determinar o nível de competição internacional que deseja no seu território

Asking why: building a culture for growth at outsystems

The growth of a solid, knowledge-intensive firm, OutSystems—an IT company recognized in 2003 by Fortune magazine as one of the most promising start-ups in the world—is accompanied by efforts to create a strong culture that preserves the traits that have driven OutSystems’ success and that drives innovation, adaptability, high performance, and accountability. The lessons OutSystems learned from previous international experiences are presented along with its latest growth model of branded local partners. The case study is intended to introduce concepts related to organizational culture, traits of cultures that drive innovation, national versus organizational culture, and the challenges of globalization. It is designed to be used in Organizational Behavior classes and is appropriate for MBA- and Master’s-level courses in the area of management. It is suggested as a guideline for 60- to 90-minute classes. Participants are invited to discuss the importance of organizational cultures and their fit with the company strategy. Participants are also encouraged to brainstorm about the best approach to face OutSystems’ new stage of growth, specifically the advantages and consequences of growing as a metanational company. Finally, in the conclusion, the most relevant findings taken from the discussions proposed are revisited: The importance of an organizational culture adapted to the market needs and the potential of innovation behind metanational companies. Other considerations are made about: how the case illustrates the importance of leadership, group age, and group size in the process of building a culture; and how OutSystems’ culture solves the apparent contradiction behind adaptable culture

Antext: a story of family firm resilience

The present case is based on the real story1 of the Vieira family, and describes their journey with the objective of ensuring the survival of the family textile business. It is presented through Aquiles Jr.’s perspective, heir of the firm, who struggles to save a company that is drowning in debt but whose emotional value and significance justify decisions that go beyond rationality. The main purpose of this case is to illustrate the existence of superior levels of organizational resilience in family firms, highlighting the importance of socioemotional wealth as a key driver for this resilience among several other factors, but also the complexity of the decision-making process in emotionally charged environments and the particular dynamics of a family business. A teaching note was included at the end of the case to support its utilization in a classroom environment. It includes a theoretical background and several suggested questions and answers

On the Linguistic and Computational Requirements for Creating Face-to-Face Multimodal Human-Machine Interaction

In this study, conversations between humans and avatars are linguistically, organizationally, and structurally analyzed, focusing on what is necessary for creating face-to-face multimodal interfaces for machines. We videorecorded thirty-four human-avatar interactions, performed complete linguistic microanalysis on video excerpts, and marked all the occurrences of multimodal actions and events. Statistical inferences were applied to data, allowing us to comprehend not only how often multimodal actions occur but also how multimodal events are distributed between the speaker (emitter) and the listener (recipient). We also observed the distribution of multimodal occurrences for each modality. The data show evidence that double-loop feedback is established during a face-to-face conversation. This led us to propose that knowledge from Conversation Analysis (CA), cognitive science, and Theory of Mind (ToM), among others, should be incorporated into the ones used for describing human-machine multimodal interactions. Face-to-face interfaces require an additional control layer to the multimodal fusion layer. This layer has to organize the flow of conversation, integrate the social context into the interaction, as well as make plans concerning 'what' and 'how' to progress on the interaction. This higher level is best understood if we incorporate insights from CA and ToM into the interface system