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yes / Smart contracts have recently attracted interest from diverse fields including law and finance. Ethereum in particular has grown rapidly to accommodate an entire ecosystem of contracts which run using its own crypto-currency. Smart contract developers can opt to verify their contracts so that any user can inspect and audit the code before executing the contract. However, the huge numbers of deployed smart contracts and the lack of supporting tools for the analysis of smart contracts makes it very challenging to get insights into this eco-environment, where code gets executed through transactions performing value transfer of a crypto-currency. We address this problem and report on the use of unsupervised clustering techniques and a seed set of verified contracts, in this work we propose a framework to group together similar contracts within the Ethereum network using only the contracts publicly available compiled code. We report qualitative and quantitative results on a dataset and provide the dataset and project code to the research community. / Link to conference webpage: http://icccn.org/icccn17/workshop/

The United States has implemented many policies to target obesity. Recently, the U.S. Food and Drug Administration has mandated that restaurants must label the calorie content of the food they provide on menus and menu boards. Previous literature suggests that this policy will cause a small subset of consumers to improve the nutritional quality of the food they consume. Restaurants’ responses to the policy are not as well studied but existing literature suggests that menu items become slightly healthier after the introduction of various local policies. This paper seeks to assess the impact of a nationally-instituted nutrition labeling policy on fast-food nutritional content. We find evidence that restaurants both improve the healthfulness of pre-existing food items and introduce new food items of substantially lower nutritional quality.

Sociology has made many contributions to the study of mental illness. One of those contributions has been in the area of theory. Sociologists maintain that social variables such as age, social class, marital status, gender, and race are important in understanding mental illness and its treatment. Although sociologists agree that social variables are important in understanding mental illness, they are not always in agreement about the direction of the relationships. Labeling theorists claim that psychiatric symptoms do not differentiate those who seek treatment from those who do not. Instead, they believe that those who have the least amount of social power are most likely to be forced into treatment. Conversely, sociologists who are critical of labeling believe that there is a positive correlation between symptoms and mental health treatment. However, critics of labeling also maintain that social characteristics are related to treatment. Unlike labeling perspective theorists, critics of labeling claim that the greater the amount of social resources people have, the more likely they are to seek treatment. Besides these general perspectives, other sociologists have developed theories which are hybrids of the labeling and the critics of labeling. Former tests of these theoretical perspectives have utilized small, convenience samples. These studies have produced conflicting results. This work uses data from the Epidemiologic Catchment Area (ECA) study, a community sample, to test research questions from the labeling perspective, critics of labeling, and combined perspectives. Results provide mixed support for each perspective. Results vary by inpatient and outpatient treatment and by particular sector of treatment. / Ph. D.

Imagem por ressonância magnética tem sido um dos principais métodos para a aquisição de imagens para diagnósticos na medicina, em especial para a obtenção de medidas do cérebro. Apesar de se mostrar muito eficiente, o método atualmente utilizado para a realização da ressonância em hospitais e centros de diagnósticos, em alguns casos, necessita da aplicação de um contraste de gadolínio intravenoso. Essa injeção do contraste pode mostrar-se um tanto quanto invasivo, podendo em alguns casos resultar em algumas reações indesejadas nos pacientes. Em vista disso, um método que tem sido bastante estudado recentemente e muito promissor é o de Arterial Spin Labeling (ASL). Este método tem como sua principal vantagem o fato de não ser invasivo e de possibilitar a quantificação da perfusão sanguínea cerebral (CBF). No presente trabalho, foi feita uma otimização do contraste na aquisição das fases mais tardias da metodologia de ASL em múltiplas fases. Isso foi feito através de uma modulação do angulo de flip e é particularmente importante para a análise das imagens de pacientes com problemas neurovasculares, principalmente aqueles associados ao retardo nos tempos de trânsito do sangue arterial. Também, foi realizada toda a obtenção e processamento de dados para a avaliação da perfusão sanguínea cerebral utilizando o método proposto. / Magnetic resonance imaging has been one of the major methods to acquire images for medical diagnoses, specially, for obtaining brain images. Although the major method using magnetic resonance used today has high efficiency, in some cases it needs an injection of intravascular contrast agent, like gadolinium. This contrast agent application can be a lot invasive for the patient, in extremes cases resulting to allergic reactions the patient. Therefore, a method that has been studied recently and is very promising is the Arterial Spin Labeling (ASL). This method has the major advantage the feature that it is completely non invasive for the patient and it allows to quantify the perfusion value. In this work, it was implemented an optimization of the contrast in the late phases of ASL multiphase acquisition. It was made using a modulation of the flip angle and it is critical to analyze images from patients with some neurovascular disease, especially those associated with arterial blood transit time delay. Besides that, it was made all data acquisition and data processing for the brain perfusion evaluation using the proposed method.