Ethical consumption (in)decisons

Consumers’ indecisions about the ethical value of their choices are amongst the highest concerns regarding ethical products’ purchasing. This is especially true for Fair Trade certified products where the ethical attribute information provided by the packaging is often unacknowledged by consumers. While well-informed consumers are likely to generate positive consumer reactions to ethical products and increase its ethical consumption, less knowledgeable buyers show different purchasing patterns. In such circumstances, decisions are often driven by socio-cultural beliefs about the low functional performance of ethical or sustainable attributes. For instance, products more congruent with sustainability (e.g., produce) are considered to be simpler but less tasty than less sustainable products. Less sustainable products instead, are considered to be more sophisticated and to provide consumers with more hedonic pleasures (e.g., chocolate mousse). The extent that ethicality is linked with experiences that provide consumers with more pain than pleasure is also manifested in pro-social social behaviors. More specifically through conspicuous self-sacrificial consumption experiences like running for charity in marathons with wide public exposure. The willingness of consumers to engage in such costly initiatives is moderated by gender differences and further, mediated by the chronic productivity orientation of some individuals to use time in a productive manner. Using experimental design studies, I show that consumers (1) use a set of affective and cognitive associations with on-package elements to interpret ethical attributes, (2) implicitly associate ethicality with simplicity, and that (3) men versus women show different preferences in their forms of contribution to pro-social causes.

Corporate social reponsability strategic corporate social responsability: External and internal outcomes

This study investigates the importance and benefits of having a strategic Corporate Social Responsibility (CSR) program by testing the interrelationships between strategic CSR with three external (reputation, corporate image, and customer loyalty) and four internal (organizational commitment, job satisfaction, performance, and organizational deviance) variables. 269 clients and non-clients along with 190 employees and their direct supervisors completed the survey. Strategic CSR has shown to have a positive impact on all the variables studied with the exception of organizational deviance. Practical implications and suggestions for future research are discussed.

Essays on bounded rationality: Individual decision and strategic interaction

Economics is a social science which, therefore, focuses on people and on the decisions they make, be it in an individual context, or in group situations. It studies human choices, in face of needs to be fulfilled, and a limited amount of resources to fulfill them. For a long time, there was a convergence between the normative and positive views of human behavior, in that the ideal and predicted decisions of agents in economic models were entangled in one single concept. That is, it was assumed that the best that could be done in each situation was exactly the choice that would prevail. Or, at least, that the facts that economics needed to explain could be understood in the light of models in which individual agents act as if they are able to make ideal decisions. However, in the last decades, the complexity of the environment in which economic decisions are made and the limits on the ability of agents to deal with it have been recognized, and incorporated into models of decision making in what came to be known as the bounded rationality paradigm. This was triggered by the incapacity of the unboundedly rationality paradigm to explain observed phenomena and behavior. This thesis contributes to the literature in three different ways. Chapter 1 is a survey on bounded rationality, which gathers and organizes the contributions to the field since Simon (1955) first recognized the necessity to account for the limits on human rationality. The focus of the survey is on theoretical work rather than the experimental literature which presents evidence of actual behavior that differs from what classic rationality predicts. The general framework is as follows. Given a set of exogenous variables, the economic agent needs to choose an element from the choice set that is avail- able to him, in order to optimize the expected value of an objective function (assuming his preferences are representable by such a function). If this problem is too complex for the agent to deal with, one or more of its elements is simplified. Each bounded rationality theory is categorized according to the most relevant element it simplifes. Chapter 2 proposes a novel theory of bounded rationality. Much in the same fashion as Conlisk (1980) and Gabaix (2014), we assume that thinking is costly in the sense that agents have to pay a cost for performing mental operations. In our model, if they choose not to think, such cost is avoided, but they are left with a single alternative, labeled the default choice. We exemplify the idea with a very simple model of consumer choice and identify the concept of isofin curves, i.e., sets of default choices which generate the same utility net of thinking cost. Then, we apply the idea to a linear symmetric Cournot duopoly, in which the default choice can be interpreted as the most natural quantity to be produced in the market. We find that, as the thinking cost increases, the number of firms thinking in equilibrium decreases. More interestingly, for intermediate levels of thinking cost, an equilibrium in which one of the firms chooses the default quantity and the other best responds to it exists, generating asymmetric choices in a symmetric model. Our model is able to explain well-known regularities identified in the Cournot experimental literature, such as the adoption of different strategies by players (Huck et al. , 1999), the inter temporal rigidity of choices (Bosch-Dom enech & Vriend, 2003) and the dispersion of quantities in the context of di cult decision making (Bosch-Dom enech & Vriend, 2003). Chapter 3 applies a model of bounded rationality in a game-theoretic set- ting to the well-known turnout paradox in large elections, pivotal probabilities vanish very quickly and no one should vote, in sharp contrast with the ob- served high levels of turnout. Inspired by the concept of rhizomatic thinking, introduced by Bravo-Furtado & Côrte-Real (2009a), we assume that each per- son is self-delusional in the sense that, when making a decision, she believes that a fraction of the people who support the same party decides alike, even if no communication is established between them. This kind of belief simplifies the decision of the agent, as it reduces the number of players he believes to be playing against { it is thus a bounded rationality approach. Studying a two-party first-past-the-post election with a continuum of self-delusional agents, we show that the turnout rate is positive in all the possible equilibria, and that it can be as high as 100%. The game displays multiple equilibria, at least one of which entails a victory of the bigger party. The smaller one may also win, provided its relative size is not too small; more self-delusional voters in the minority party decreases this threshold size. Our model is able to explain some empirical facts, such as the possibility that a close election leads to low turnout (Geys, 2006), a lower margin of victory when turnout is higher (Geys, 2006) and high turnout rates favoring the minority (Bernhagen & Marsh, 1997).

Injuries caused by aquatic animals in Brazil: an analysis of the data present in the information system for notifiable diseases

AbstractINTRODUCTION:We present a review of injuries in humans caused by aquatic animals in Brazil using the Information System for Notifiable Diseases [ Sistema de Informação de Agravos de Notificação (SINAN)] database.METHODS:A descriptive and retrospective epidemiological study was conducted from 2007 to 2013.RESULTS:A total of 4,118 accidents were recorded. Of these accidents, 88.7% (3,651) were caused by venomous species, and 11.3% (467) were caused by poisonous, traumatic or unidentified aquatic animals. Most of the events were injuries by stingrays (69%) and jellyfish (13.1%). The North region was responsible for the majority of reports (66.2%), with a significant emphasis on accidents caused by freshwater stingrays (92.2% or 2,317 cases). In the South region, the region with the second highest number of records (15.7%), jellyfish caused the majority of accidents (83.7% or 452 cases). The Northeastern region, with 12.5% of the records, was notable because almost all accidents were caused by toadfish (95.6% or 174 cases).CONCLUSIONS:Although a comparison of different databases has not been performed, the data presented in this study, compared to local and regional surveys, raises the hypothesis of underreporting of accidents. As the SINAN is the official system for the notification of accidents by venomous animals in Brazil, it is imperative that its operation be reviewed and improved, given that effective measures to prevent accidents by venomous animals depend on a reliable database and the ability to accurately report the true conditions.

Analysis of classification algorithms for crop detection using LANDSAT 8 images

Remote sensing - the acquisition of information about an object or phenomenon without making physical contact with the object - is applied in a multitude of different areas, ranging from agriculture, forestry, cartography, hydrology, geology, meteorology, aerial traffic control, among many others. Regarding agriculture, an example of application of this information is regarding crop detection, to monitor existing crops easily and help in the region’s strategic planning. In any of these areas, there is always an ongoing search for better methods that allow us to obtain better results. For over forty years, the Landsat program has utilized satellites to collect spectral information from Earth’s surface, creating a historical archive unmatched in quality, detail, coverage, and length. The most recent one was launched on February 11, 2013, having a number of improvements regarding its predecessors. This project aims to compare classification methods in Portugal’s Ribatejo region, specifically regarding crop detection. The state of the art algorithms will be used in this region and their performance will be analyzed.

Da intercepção de comunicações, acções encobertas e serviços de informações

The Portuguese Intelligence Services have their operational skills limited due to the grievances caused by the Dictatorship and, in particular, by its political police. With the help of historical elements, and by analyzing current legislation, we demonstrate that such grievances are today unjustified and misplaced, mainly taking into account the Risk Society’s multifaceted threats. Also part of our analysis is the impugnment of the Constitutional Court’s decision nº 413/2015, which pronounced unconstitutional the norm contained in Decree nº 426/XII, of the Republic’s Assembly, article nº 78, nº2, which intended to allow Intelligence Services access to the so-called “metadata”, as well as to tax and banking information. It is our understanding, and we demonstrate it in our dissertation, that should be allowed the access of, not only the above mentioned information, but also the means known as communications interception and undercover operations to the Intelligence Services, as long as properly supervised and inspected.

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Minimal computation structures for visual information applications based on printed electronics

In the early nineties, Mark Weiser wrote a series of seminal papers that introduced the concept of Ubiquitous Computing. According to Weiser, computers require too much attention from the user, drawing his focus from the tasks at hand. Instead of being the centre of attention, computers should be so natural that they would vanish into the human environment. Computers become not only truly pervasive but also effectively invisible and unobtrusive to the user. This requires not only for smaller, cheaper and low power consumption computers, but also for equally convenient display solutions that can be harmoniously integrated into our surroundings. With the advent of Printed Electronics, new ways to link the physical and the digital worlds became available. By combining common printing techniques such as inkjet printing with electro-optical functional inks, it is starting to be possible not only to mass-produce extremely thin, flexible and cost effective electronic circuits but also to introduce electronic functionalities into products where it was previously unavailable. Indeed, Printed Electronics is enabling the creation of novel sensing and display elements for interactive devices, free of form factor. At the same time, the rise in the availability and affordability of digital fabrication technologies, namely of 3D printers, to the average consumer is fostering a new industrial (digital) revolution and the democratisation of innovation. Nowadays, end-users are already able to custom design and manufacture on demand their own physical products, according to their own needs. In the future, they will be able to fabricate interactive digital devices with user-specific form and functionality from the comfort of their homes. This thesis explores how task-specific, low computation, interactive devices capable of presenting dynamic visual information can be created using Printed Electronics technologies, whilst following an approach based on the ideals behind Personal Fabrication. Focus is given on the use of printed electrochromic displays as a medium for delivering dynamic digital information. According to the architecture of the displays, several approaches are highlighted and categorised. Furthermore, a pictorial computation model based on extended cellular automata principles is used to programme dynamic simulation models into matrix-based electrochromic displays. Envisaged applications include the modelling of physical, chemical, biological, and environmental phenomena.

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Surgery information reduces anxiety in the pre-operative period

PURPOSE: Patients preparing to undergo surgery should not suffer needless anxiety. This study aimed to evaluate anxiety levels on the day before surgery as related to the information known by the patient regarding the diagnosis, surgical procedure, or anesthesia. METHOD: Patients reported their knowledge of diagnosis, surgery, and anesthesia. The Spielberger State-Trait Anxiety Inventory (STAI) was used to measure patient anxiety levels. RESULTS: One hundred and forty-nine patients were selected, and 82 females and 38 males were interviewed. Twenty-nine patients were excluded due to illiteracy. The state-anxiety levels were alike for males and females (36.10 ± 11.94 vs. 37.61 ± 8.76) (mean ± SD). Trait-anxiety levels were higher for women (42.55 ± 10.39 vs. 38.08 ± 12.25, P = 0.041). Patient education level did not influence the state-anxiety level but was inversely related to the trait-anxiety level. Knowledge of the diagnosis was clear for 91.7% of patients, of the surgery for 75.0%, and of anesthesia for 37.5%. Unfamiliarity with the surgical procedure raised state-anxiety levels (P = 0.021). A lower state-anxiety level was found among patients who did not know the diagnosis but knew about the surgery (P = 0.038). CONCLUSIONS: Increased knowledge of patients regarding the surgery they are about to undergo may reduce their state-anxiety levels.

Improving accuracy of inflation forecasts using macroeconomic information

This thesis examines the effects of macroeconomic factors on inflation level and volatility in the Euro Area to improve the accuracy of inflation forecasts with econometric modelling. Inflation aggregates for the EU as well as inflation levels of selected countries are analysed, and the difference between these inflation estimates and forecasts are documented. The research proposes alternative models depending on the focus and the scope of inflation forecasts. I find that models with a Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) in mean process have better explanatory power for inflation variance compared to the regular GARCH models. The significant coefficients are different in EU countries in comparison to the aggregate EU-wide forecast of inflation. The presence of more pronounced GARCH components in certain countries with more stressed economies indicates that inflation volatility in these countries are likely to occur as a result of the stressed economy. In addition, other economies in the Euro Area are found to exhibit a relatively stable variance of inflation over time. Therefore, when analysing EU inflation one have to take into consideration the large differences on country level and focus on those one by one.

National suicide prevention strategy for Afghanistan (NSPS)

RESUMO: Do suicídio no Afeganistão é uma prioridade de saúde pública. O Afeganistão é um país de baixo rendimento, emergindo de três décadas de conflitos. Há uma alta prevalência de sofrimento psicológico, perturbações mentais e abuso de substâncias. Existem várias questões sociais, tais como, desequilíbrio/violência de género, pobreza, atitudes e costumes obsoletos, rápidas mudanças sócio-culturais, violação dos direitos humanos e especialmente dos direitos das mulheres e das crianças. Estes fatores de risco contribuem para o aumento da vulnerabilidade da população em relação ao suicídio. A relativa alta taxa de suicídio no Afeganistão é especialmente significativa comparada com as taxas baixas em todos os países islâmicos. Os estudos mostraram predominância de suicídio nas mulheres (95%) e em pessoas jovens. Existe, por isso, uma necessidade urgente do país ter uma estratégia de prevenção do suicídio. A estratégia foi desenvolvida pela criação de um grupo técnico/ de assessoria multi-sectorial de diferentes intervenientes tais como governo, ONGs, agências doadoras, as famílias das vítimas e outraas partes interessadas. A estratégia baseia-se os seguintes valores chave:, respeito pelas diversidades; sensibilidade para as questões sócio-cultura-religiosa e de género; promoção da dignidade da sociedade; respeito pelos direitos humanoss.. Os 'seis pontos estratégicos' são: envolvimento das principais partes interessadas e criação de colaboração intersectorial coordenada; fornecimento de cuidados às pessoas que fazem tentativas de suicídio e às suas famílias; melhoria dos serviços para pessoas com doença mental e problemas psicossociais; promover uma comunicação e imagem adequada dos comportamentos suicidas, pelos meios de comunicação; reduzir o acesso aos meios de suicídio e coligir informação sobre as taxas de suicídio, os fatores de risco, os fatores protetores e as intervenções eficazes. A estratégia nacional de prevenção do suicídio será inicialmente implementada por 5 anos, com uma avaliação anual do plano de acção para entender os seus pontos fortes e limitações. Recomendações e sugestões serão incorporadas nos próxima planos anuais para uma intervenção eficaz. Um sistema de monitorização irá medir o progresso na implementação da estratégia.-----------------------------ABSTRACT: Suicide in Afghanistan is a public health priority. Afghanistan is a low-income country, emerging from three decades of conflicts. There is high prevalence of mental distress, mental disorders and substance abuse. There are multiple social issues, such as gender imbalance/violence, poverty, obsolete attitudes and customs, rapid social-cultural changes, human right violations, and especially women and children rights. These risk factors contribute to increase the vulnerability of the population for suicide. The relative high rate of suicide in Afghanistan is especially significant as the rates are low in all Islamic countries. Research studies have shown predominance of suicide in women (95%) and in young age people. There is an urgent need for the country to have a suicide prevention strategy. The strategy has been developed by establishing a multi-sectoral technical/advisory group of different stakeholders from government, NGOs, donor agencies, victim’s families, and interested parties. The strategy is based on the following key values, namely, respect for diversities; sensitiveness to socio-culture-religious and gender issues; promotion of the society dignity and respect for the human rights of people. The six ‘Strategic directions’ are: involving key stakeholders and creating coordinated inter-sectoral collaboration; providing after care for people making a suicide attempt and their families; improving services for people with mental disorders and psycho-social problems; promoting the safe reporting and image of suicidal behaviour by media; reducing access to the means of suicide and gathering information about suicide rates, risk factor, protective factors and effective interventions. The National Suicide Prevention Strategy will be initially implemented for 5 years, with an annual evaluation of the action plan to understand the strengths and limitations. Recommendations and suggestions will be incorporated into the next annual plans for effective intervention. A monitoring framework will measure progress in implementing the strategy.

A type system for value-dependent information flow analysis

Information systems are widespread and used by anyone with computing devices as well as corporations and governments. It is often the case that security leaks are introduced during the development of an application. Reasons for these security bugs are multiple but among them one can easily identify that it is very hard to define and enforce relevant security policies in modern software. This is because modern applications often rely on container sharing and multi-tenancy where, for instance, data can be stored in the same physical space but is logically mapped into different security compartments or data structures. In turn, these security compartments, to which data is classified into in security policies, can also be dynamic and depend on runtime data. In this thesis we introduce and develop the novel notion of dependent information flow types, and focus on the problem of ensuring data confidentiality in data-centric software. Dependent information flow types fit within the standard framework of dependent type theory, but, unlike usual dependent types, crucially allow the security level of a type, rather than just the structural data type itself, to depend on runtime values. Our dependent function and dependent sum information flow types provide a direct, natural and elegant way to express and enforce fine grained security policies on programs. Namely programs that manipulate structured data types in which the security level of a structure field may depend on values dynamically stored in other fields The main contribution of this work is an efficient analysis that allows programmers to verify, during the development phase, whether programs have information leaks, that is, it verifies whether programs protect the confidentiality of the information they manipulate. As such, we also implemented a prototype typechecker that can be found at http://ctp.di.fct.unl.pt/DIFTprototype/.