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This paper presents a catalog of smells in the context of interactive applications. These so-called usability smells are indicators of poor design on an application's user interface, with the potential to hinder not only its usability but also its maintenance and evolution. To eliminate such usability smells we discuss a set of program/usability refactorings. In order to validate the presented usability smells catalog, and the associated refactorings, we present a preliminary empirical study with software developers in the context of a real open source hospital management application. Moreover, a tool that computes graphical user interface behavior models, giving the applications' source code, is used to automatically detect usability smells at the model level.

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It is well known that the classical three-and four-round Feistel constructions are provably secure under chosen-plaintext and chosen-ciphertext attacks, respectively. However, irrespective of the number of rounds, no Feistel construction can resist related-key attacks where the keys can be offset by a constant. In this paper we show that, under suitable reuse of round keys, security under related-key attacks can be provably attained. Our modification is simpler and more efficient than alternatives obtained using generic transforms, namely the PRG transform of Bellare and Cash (CRYPTO 2010) and its random-oracle analogue outlined by Lucks (FSE 2004). Additionally we formalize Luck's transform and show that it does not always work if related keys are derived in an oracle-dependent way, and then prove it sound under appropriate restrictions.

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This paper presents an enhanced simulation platform composed by the integration of two distinct multi-agent based simulators. The two simulators are: (i) the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM), which provides a simulation platform for electricity markets participation, considering scenarios based on real data from several distinct market operators; and (ii) the Multi-Agent Smart Grid Platform (MASGriP), which facilitates the simulation of smart grids and microgrids, by modeling the power network at the distribution level, and representing the main entities that act in this scope. With the cooperation between the two simulation platforms, huge studying opportunities under different perspectives are provided, resulting in an important contribution in the fields of transactive energy, electricity markets, and smart grids. A case study is presented, showing the potentialities for interaction between players of the two ecosystems, namely by demonstrating a case in which a smart grid operator, which manages the internal resources of a smart grid, is able to participate in electricity market negotiations to sell the surplus of generation in some periods of the day, and buy the necessary power to satisfy the demand of smart grid consumers in other periods of the day. © 2015 IEEE.

Abstract
In general, quality of life is the perceived quality of an individual's daily life, that is, an assessment of their well-being or lack thereof. Life quality of individuals is very important for involves several factors such as social, economic, psychological, spiritual or medical state. The information technologies can help with the management of the services for the healthcare of chronic patients. It was developed and implemented a Quality of Life platform using information technologies and with application of statistical methods to access the information of clinical data of patients with cancer from otorhinolaryngology and Head and Neck services of an oncologic institution. The sample was composed of 3013 patients. The results show that there are variables with significant predictors for the Quality of Life: years of smoking (p value 0.049) and size of the tumor (p value < 0.001). In conclusion statistical methods allow having access to additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision.

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