Varicela: vacinação e epidemiologia

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências FarmacêuticasA varicela é uma doença contagiosa de origem viral que afeta, sobretudo, crianças. Causada pelo vírus Varicella-zoster, esta doença inicia-se no trato respiratório e dissemina-se depois pelo organismo atingindo a pele. Como outros herpesvírus o VZV tem capacidade de permanecer latente nos gânglios nervosos e pode reativar originando uma doença conhecida por zona. A infeção por VZV é passível de ser prevenida por vacinação, no entanto, a vacina contra VZV não confere total imunidade contra o vírus, no entanto pode ajudar a diminuir as consequências mais graves associadas ao desenvolvimento da doença. Chickenpox is a contagious viral disease that affects mainly children but can also affect adults. Caused by the varicella-zoster virus, the disease starts at the respiratory tract and spreads through the body, reaching the skin. Like other herpesvirus VZV is capable of latency in nerve ganglia and can reactivate causing a condition known as zoster. The infection may be prevented by vaccination, however, the vaccine does not provide complete VZV immunity, but they can help prevent more serious consequences associated with the development of the disease

Varicela: vacinação e epidemiologia

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências FarmacêuticasA varicela é uma doença contagiosa de origem viral que afeta, sobretudo, crianças. Causada pelo vírus Varicella-zoster, esta doença inicia-se no trato respiratório e dissemina-se depois pelo organismo atingindo a pele. Como outros herpesvírus o VZV tem capacidade de permanecer latente nos gânglios nervosos e pode reativar originando uma doença conhecida por zona. A infeção por VZV é passível de ser prevenida por vacinação, no entanto, a vacina contra VZV não confere total imunidade contra o vírus, no entanto pode ajudar a diminuir as consequências mais graves associadas ao desenvolvimento da doença. Chickenpox is a contagious viral disease that affects mainly children but can also affect adults. Caused by the varicella-zoster virus, the disease starts at the respiratory tract and spreads through the body, reaching the skin. Like other herpesvirus VZV is capable of latency in nerve ganglia and can reactivate causing a condition known as zoster. The infection may be prevented by vaccination, however, the vaccine does not provide complete VZV immunity, but they can help prevent more serious consequences associated with the development of the disease

Analysing the effectiveness of a generative model for semi-supervised medical image segmentation

Image segmentation is important in medical imaging, providing valuable, quantitative information for clinical decision-making in diagnosis, therapy, and intervention. The state-of-the-art in automated segmentation remains supervised learning, employing discriminative models such as U-Net. However, training these models requires access to large amounts of manually labelled data which is often difficult to obtain in real medical applications. In such settings, semi-supervised learning (SSL) attempts to leverage the abundance of unlabelled data to obtain more robust and reliable models. Recently, generative models have been proposed for semantic segmentation, as they make an attractive choice for SSL. Their ability to capture the joint distribution over input images and output label maps provides a natural way to incorporate information from unlabelled images. This paper analyses whether deep generative models such as the SemanticGAN are truly viable alternatives to tackle challenging medical image segmentation problems. To that end, we thoroughly evaluate the segmentation performance, robustness, and potential subgroup disparities of discriminative and generative segmentation methods when applied to large-scale, publicly available chest X-ray datasets.Comment: Accepted at ML4H 202

Extrato de erva-de-rato (Palicourea marcgravii) como inseticida alternativo visando o controle do pulgão preto (Toxoptera citricida) dos citros.

Este trabalho objetivou avaliar a toxicidade de cinco concentrações de extrato de Palicourea marcgravii, aplicado por pulverização via contato sobre a mortalidade do pulgão preto, em condições de laboratório

Extrato de Manihot esculenta como inseticida alternativo no controle de pulgão preto (Toxoptera citricida) dos citros.

Este trabalho objetivou avaliar a toxicidade de cinco concentrações de extrato de Manihot esculenta aplicado por pulverização via translaminar sobre a mortalidade de pulgão preto em condições de laboratório

Effect of State Feedback Coupling and System Delays on the Transient Performance of Stand-Alone VSI with LC Output Filter

The influence of state feedback coupling in the dynamics performance of power converters for stand-alone microgrids is investigated. Computation and PWM delays are the main factors that limit the achievable bandwidth of current regulators in digital implementations. In particular, the performance of state feedback decoupling is degraded because of these delays. Two decoupling techniques to improve the transient response of the system are investigated, named non-ideal and ideal capacitor voltage decoupling respectively. In particular, the latter solution consists in leading the capacitor voltage on the state feedback decoupling path in order to compensate for system delays. Practical implementation issues are discussed with reference to both the decoupling techniques. A design methodology for the voltage loop, that considers the closed loop transfer functions developed for the inner loop, is also provided. A proportional resonant voltage controller is designed according to Nyquist criterion taking into account application requirements. For this purpose, a mathematical expression based on root locus analysis is proposed to find the minimum value of the fundamental resonant gain. Experimental tests performed in accordance to UPS standards verify the theoretical analysis

Discrete-Time Domain Modelling of Voltage Source Inverters in Standalone Applications:Enhancement of Regulators Performance by Means of Smith Predictor

The decoupling of the capacitor voltage and inductor current has been shown to improve significantly the dynamic performance of voltage source inverters in standalone applications. However, the computation and pulse width modulation delays still limit the achievable bandwidth. In this paper, a discrete-time domain modeling of an LC plant with consideration of delay and sample-and-hold effects on the state feedback cross-coupling decoupling is derived. From this plant formulation, current controllers with wide bandwidth and good relative stability properties are developed. Two controllers based on lead compensation and Smith predictor design, respectively, are obtained. Subsequently, the voltage regulator is also designed for a wide bandwidth, which permits the inclusion of resonant filters for the steady-state mitigation of odd harmonics at nonlinear unbalance load terminals. Discrete-time domain implementation issues of an antiwind up scheme are discussed as well, highlighting the limitations of some discretization methods. Extensive experimental results, including a short-circuit test, verify the theoretical analysis

The contribution of unstructured data from social media for prediction in marketing management

The capacity to obtain market insights is a strategic need for companies to remain competitive. Despite this and the massive volume of data generated by consumers every second, companies rarely have the culture of making marketing decisions based on data and, when they do, rarely use consumer data widely available online, specially on social networks. One reason is that these data (e.g. texts) tend to be “dirty”, disorganized and bulky, a so-called unstructured data. Despite the complexity involved in extracting informational value from this data, companies can gain insights that can improve decision making and result in greater competitive performance. The purpose of this article is to discuss the benefits of new types of data that have become more abundant and accessible in Web 3.0, as well as new methods of analysis, particularly learning methods. For this, an extensive literature review was carried out and a topic modeling was conducted to get an overview of the data and methods. At the end, the article suggests six main marketing challenges that unstructured data analytics can contribute, improving companies’ competitiveness. The capacity to obtain market insights is a strategic need for companies to remain competitive. Despite this and the massive volume of data generated by consumers every second, companies rarely have the culture of making marketing decisions based on data and, when they do, rarely use consumer data widely available online, especially on social networks. One reason is that these data (e.g. texts) tend to be “dirty”, disorganized and bulky, a so-called unstructured data. The purpose of this article is to discuss the benefits of new types of data that have become more abundant and accessible in Web 3.0 through popular social networks, as well as new methods of analysis, particularly learning methods for prediction. For this, an extensive literature review was carried out and a topic modeling was conducted to get an overview of the data and methods. At the end, the article suggests six main marketing challenges that unstructured data analytics can contribute to overcome, improving companies’ competitiveness