A CSR communication strategy for Continente: Improving brand image and reinforcing local community bonds

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Image processing methodology for assessment of drilling induced damage in CFRP

Dissertação para obtenção do Grau de Mestre em Engenharia Mecânica

External brand extensions impact on Diesel's brand image

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

New roles of Rab GTPases on eye diseases: targeting VEGF secretion

RESUMO: A retina é composta, entre outras estruturas, pelo epitélio pigmentar da retina (EPR)e pela coróide. A região central da retina denomina-se mácula, e é a zona mais afetada na degenerescência macular relacionada com a idade, a forma mais comum de degenerescência da retina. Nesta doença, a secreção de fatores de crescimento pelo EPR é afetada, nomeadamente a do fator de crescimento vascular endotelial (VEGF), e pouco se sabe ainda sobre os mecanismos moleculares conducentes a esta condição. A família de proteínas Rab GTPases está envolvida nas vias intracelulares de sinalização e tráfego membranares, essenciais na transdução de sinais extracelulares em respostas biológicas. A sua crucial importância nestes mecanismos levou-nos a considerar o seu potencial envolvimento nas vias de secreção do VEGF, e a questionar-nos se teriam algum papel regulador sobre as mesmas. O principal objetivo deste trabalho é identificar Rab GTPases importantes para as vias de secreção e endocitose do VEGF no EPR. Essa identificação ajudará a esclarecer a patogénese da degenerescência macular da retina, e poderá servir para uma procura mais direcionada de novos agentes terapêuticos. A caracterização de dois modelos in vitro do EPR, células primárias isoladas de murganho e a linha celular B6-RPE07,levou-nos a concluir que são ambos semelhantes. Contudo, a linha celular foi escolhida como protótipo do EPR por permitir o acesso a um número ilimitado de células. No decurso deste trabalho, desenvolvemos e caracterizámos uma biblioteca de ferramentas moleculares que nos permitiram reduzir os níveis proteicos das proteínas Rab GTPases, com base na tecnologia de ácido ribonucleico (ARN) de interferência. O papel das proteínas Rab GTPases na secreção do VEGF no EPR foi estudado com base no silenciamento de apenas uma proteína, ou combinando várias, segundo a sua localização e funções intracelulares descritas. Este trabalho permitiu-nos concluir que as proteínas Rab GTPases são importantes intervenientes no processo de secreção de VEGF pelo EPR, e confirmar dados anteriores que relatam o envolvimento de algumas Rab GTPases endocíticas no processo. Propomos ainda um novo modelo para a interação destas proteínas no EPR, e sugerimos que a Rab10 e a Rab14 atuam negativamente sobre a Rab8, controlando o seu funcionamento. Os nossos resultados evidenciam a importância das proteínas Rab GTPases na secreção do VEGF pelas células do EPR, e servem de base a futuros estudos que melhor procurem compreender este mecanismo e de que modo a sua alteração se relaciona com a degenerescência da retina.--------ABSTRACT: Retinal pigment epithelium (RPE) and choroid are components of the mammalian retina, of which the central region is called macula. The most common form of retinaldegeneration, age-related macular degeneration (AMD), involves primarily deregulation of growth factors secretion by the RPE. Very little is known about the molecular mechanisms that lead to impairment of RPE’s homeostatic intracellular processes, namely the secretion of vascular endothelial growth factor (VEGF). Rab GTPases’ family regulates membrane targeting and traffic, being essential in the transduction of signal pathways. Given Rab proteins’ role in intracellular trafficking, we propose to identify key regulatory Rab proteins involved in either the secretory or the recycling pathways of VEGF in RPE. Understanding how Rab proteins’ function disruption could lead to retinal and choroidal pathology would ultimately contribute to find new therapeutic agents. Here, we characterized two mouse RPE in vitro cell models, primary cells and B6-RPE07 cell line, and concluded that both display important epithelial features as the RPE presents in vivo. Considering unlimited cell number and results reproducibility, we chose B6-RPE07 cells to further study Rab proteins’ function. To scrutinize the consequences of Rab proteins’ absence or diminished levels, we have developed novel molecular tools to achieve silencing of these key proteins using miRNA technology. We further addressed the effect of Rab proteins’ absence on VEGF secretion by performing an extensive screening where different Rab proteins were silenced, both individually and in multiple combinations considering their cellular/ compartment location. We conclude that Rab GTPases are important intervenients in VEGF secretion by RPE cells, confirming endocytic Rab proteins’ role in regulation of VEGF biology. We also propose a novel model for Rab proteins’ interaction in RPE. Our results suggest that Rab10 and Rab14 might influence Rab8 in a negative feedback mechanism, important for controlling VEGF secretion. Our achievements’ unravel Rab proteins’ role in VEGF secretion by RPE cells and are the basis for future studies to better understand RPE molecular secretory machinery.

A comparison between digital breast tomosynthesis and mammography: dosimetric and image quality characterization of clinical system

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Equity in access to MRI equipment: the Portuguese case

Magnetic resonance imaging (MRI) is a method of image diagnose proven to be of undeniable importance when it comes to neuro and cardio related diseases. In fact, these diseases (such as: ischemic heart disease, stroke and acute myocardial infection) have high incidence in Portugal. For these reasons, the allocation of this medical technology should not be considered with light thoughts. In fact, making decision of resource allocation in health care can be a very complex and contested matter. The impacts of new technology allocation, such MRI, can be assessed in a variety of ways. However, a fundamental component should always be present: the use of evidence-based decision-making methods. One of these methods is Technology Assessment (TA). This paper aims to characterize the equity on access of the Portuguese population in general, to a specific medical device such as MRI, under the TA point of view. It is hoped to promote a bridge of scientific knowledge between the gap on research and policy-making through TA that can emerge as a tool to aid decision-makers in the organization of health systems. There are gaps in providing healthcare, due to geographical imbalances, with some areas unable to provide certain specialized services, as hospitals in the countryside do not provide all medical specialties. Portugal has also a large independent private sector that provides diagnostic and therapeutic services to NHS users under contracts called conventions. These medical contracts cover ambulatory health facilities for laboratory tests and examinations such as diagnostic tests and Radiology. However, there is no convention from the NHS when concerning the MRI exam. Therefore, this reality can be considered a limitation in the access of the general population to this kind of clinical exam. TA can play an useful and important role in helping the decision-makers to explore potential gains that might be achieved by introducing a more rational decision making into health care management, namely into the Radiology area, regarding the allocation of MRI equipment.

Positive self-image over time

This paper incorporates egocentric comparisons into a human capital accumulation model and studies the evolution of positive self image over time. The paper shows that the process of human capital accumulation together with egocentric comparisons imply that positive self image of a cohort is first increasing and then decreasing over time. Additionally, the paper finds that positive self image: (1) peaks earlier in activities where skill depreciation is higher, (2) is smaller in activities where the distribution of income is more dispersed, (3) is not a stable characteristic of an individual, and (4) is higher for more patient individuals.

In-School CSR and its impact on brand image, brand identification and brand reputation: The moderator effect of brand familiarity, product involvement and cause-brand fit

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Positive self-image and incentives in organizations

This paper investigates the implications of individuals’ mistaken beliefs of their abilities on incentives in organizations using the principal-agent model of moral hazard. The paper shows that if effort is observable, then an agent’s mistaken beliefs about own ability are always favorable to the principal. However, if effort is unobservable, then an agent’s mistaken beliefs about own ability can be either favorable or unfavorable to the principal. The paper provides conditions under which an agent’s over estimation about own ability is favorable to the principal when effort is unobservable. Finally, the paper shows that workers’ mistaken beliefs about their coworkers’ abilities make interdependent incentive schemes more attractive to firms than individualistic incentive schemes.

Positive self-image in tournaments

This paper analyzes the implications of worker overestimation of productivity for firms in which incentives take the form of tournaments. Each worker overestimates his productivity but is aware of the bias in his opponent’s self-assessment. The manager of the firm, on the other hand, correctly assesses workers’ productivities and self-beliefs when setting tournament prizes. The paper shows that, under a variety of circumstances, firms make higher profits when workers have positive self-image than if workers do not. By contrast, workers’ welfare declines due to their own misguided choices.

Microscopy image segmentation by active contour models

In this thesis a semi-automated cell analysis system is described through image processing. To achieve this, an image processing algorithm was studied in order to segment cells in a semi-automatic way. The main goal of this analysis is to increase the performance of cell image segmentation process, without affecting the results in a significant way. Even though, a totally manual system has the ability of producing the best results, it has the disadvantage of taking too long and being repetitive, when a large number of images need to be processed. An active contour algorithm was tested in a sequence of images taken by a microscope. This algorithm, more commonly known as snakes, allowed the user to define an initial region in which the cell was incorporated. Then, the algorithm would run several times, making the initial region contours to converge to the cell boundaries. With the final contour, it was possible to extract region properties and produce statistical data. This data allowed to say that this algorithm produces similar results to a purely manual system but at a faster rate. On the other hand, it is slower than a purely automatic way but it allows the user to adjust the contour, making it more versatile and tolerant to image variations.

Optimization of breast tomosynthesis image reconstruction using parallel computing

Breast cancer is the most common cancer among women, being a major public health problem. Worldwide, X-ray mammography is the current gold-standard for medical imaging of breast cancer. However, it has associated some well-known limitations. The false-negative rates, up to 66% in symptomatic women, and the false-positive rates, up to 60%, are a continued source of concern and debate. These drawbacks prompt the development of other imaging techniques for breast cancer detection, in which Digital Breast Tomosynthesis (DBT) is included. DBT is a 3D radiographic technique that reduces the obscuring effect of tissue overlap and appears to address both issues of false-negative and false-positive rates. The 3D images in DBT are only achieved through image reconstruction methods. These methods play an important role in a clinical setting since there is a need to implement a reconstruction process that is both accurate and fast. This dissertation deals with the optimization of iterative algorithms, with parallel computing through an implementation on Graphics Processing Units (GPUs) to make the 3D reconstruction faster using Compute Unified Device Architecture (CUDA). Iterative algorithms have shown to produce the highest quality DBT images, but since they are computationally intensive, their clinical use is currently rejected. These algorithms have the potential to reduce patient dose in DBT scans. A method of integrating CUDA in Interactive Data Language (IDL) is proposed in order to accelerate the DBT image reconstructions. This method has never been attempted before for DBT. In this work the system matrix calculation, the most computationally expensive part of iterative algorithms, is accelerated. A speedup of 1.6 is achieved proving the fact that GPUs can accelerate the IDL implementation.

A SDK improvement towards gesture support

Human-Computer Interaction have been one of the main focus of the technological community, specially the Natural User Interfaces (NUI) field of research as, since the launch of the Kinect Sensor, the goal to achieve fully natural interfaces just got a lot closer to reality. Taking advantage of this conditions the following research work proposes to compute the hand skeleton in order to recognize Sign Language Shapes. The proposed solution uses the Kinect Sensor to achieve a good segmentation and image analysis algorithms to extend the skeleton from the extraction of high-level features. In order to recognize complex hand shapes the current research work proposes the redefinition of the hand contour making it immutable to translation, rotation and scaling operations, and a set of tools to achieve a good recognition. The validation of the proposed solution extended the Kinects Software Development Kit to allow the developer to access the new set of inferred points and created a template-matching based platform that uses the contour to define the hand shape, this prototype was tested in a set of predefined conditions and showed to have a good success ration and has proven to be eligible for real-time scenarios.

Information provision improvement with a geofencing event-bases system

Nowadays there is a big percentage of the population, specially young users, which are smartphone users and there is a lot of information to be provided within the applications, information provision should be done carefully and should be accurate, otherwise an overload of information will be produced, and the user will discard the app which is providing the information. Mobile devices are becoming smarter and provide many ways to filter information. However, there are alternatives to improve information provision from the side of the application. Some examples are, taking into account the local time, considering the battery level before doing an action and checking the user location to send personalized information attached to that location. SmartCampus and SmartCities are becoming a reality and they have more and more data integrated every day. With all this amount of data it is crucial to decide when and where is the user going to receive a notification with new information. Geofencing is a technique which allows applications to deliver information in a more useful way, in the right time and in the right place. It consists of geofences, physical regions delimited by boundaries, and devices that are eligible to receive the information assigned to the geofence. When devices cross one of these geofences an alert is pushed to the mobile device with the information.

Image processing for displacement measurements

Since the invention of photography humans have been using images to capture, store and analyse the act that they are interested in. With the developments in this field, assisted by better computers, it is possible to use image processing technology as an accurate method of analysis and measurement. Image processing's principal qualities are flexibility, adaptability and the ability to easily and quickly process a large amount of information. Successful examples of applications can be seen in several areas of human life, such as biomedical, industry, surveillance, military and mapping. This is so true that there are several Nobel prizes related to imaging. The accurate measurement of deformations, displacements, strain fields and surface defects are challenging in many material tests in Civil Engineering because traditionally these measurements require complex and expensive equipment, plus time consuming calibration. Image processing can be an inexpensive and effective tool for load displacement measurements. Using an adequate image acquisition system and taking advantage of the computation power of modern computers it is possible to accurately measure very small displacements with high precision. On the market there are already several commercial software packages. However they are commercialized at high cost. In this work block-matching algorithms will be used in order to compare the results from image processing with the data obtained with physical transducers during laboratory load tests. In order to test the proposed solutions several load tests were carried out in partnership with researchers from the Civil Engineering Department at Universidade Nova de Lisboa (UNL).