Aphasia is an acquired language impairment caused by damage in the regions of the brain that support language. The Main Concept Analysis (MCA) is a published formal assessment battery that allows the quantification of the presence, accuracy, completeness, and efficiency of content in spoken discourse produced by persons with aphasia (PWA). It utilizes a sequential picture description task (with four sets of pictures) for language sample elicitation. The MCA results can also be used clinically for targeting appropriate interventions of aphasic output. The purpose of this research is to develop a Spanish adaptation of the MCA by establishing normative data based on native unimpaired speakers of Spanish. In the pilot study, thirty-eight unimpaired Spanish participants were recruited by previous student researchers. Each participant was asked to complete a demographic questionnaire and a short form of the Cognitive Linguistic Quick Test was administered to rule out any unidentified language problems. The MCA was then be administered to participants and their oral description was audio recorded for later orthographic transcription. A total of 81 unimpaired participants that consisted of different genders, ages (young, middle-aged, and older groups), levels of education (high versus low), and dialect origins (e.g., Spain, Puerto Rico, Columbia) were recruited in the main study to establish a more balanced set of data. One person with aphasia (PWA) was recruited for this study. Based on the collected normative samples, the essential information was identified for each participant. A dialect-specific scoring criteria including target main concepts and lexicons of the Spanish-MCA were developed. The Spanish-MCA was conducted to test the validity of the assessment battery. In the current study, a preliminary set of data using the MCA scoring criteria has been established. Similar to findings in Kong and Yeh 2015, the results of the Spanish-MCA showed age and education did impact discourse performance. Results from one-way ANOVA revealed statistical differences between age groups and education levels of the unimpaired participants recruited. The groups of participants with a higher education conveyed more AC concepts compared to the other dialect groups. To compare data for PWA, it is suggested that a larger sample size of PWA be recruited to validate the Spanish-MCA.

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The purpose of this paper was to support in the unraveling of the various complexities problematizing the concept of social innovation. The concept, generally understood as those innovations that serve to solve societal and social issues, is plagued by ambiguity and weak conceptualization which makes empirical studies difficult. To achieve the paper’s goal a concept analysis, a form of qualitative text analysis method based in philosophy and deductive hermeneutics, was performed. The results of the study were a new definition of social innovation that synthesizes previous definitions of social innovation as a multi-dimensional construct and ideas of social innovation being motivated by altruistic ideals. This new definition strikes a balance between specificity and generality by combining a variation of nuanced conceptual attributes with a clear distinction from the similar, economically motivated market innovations, including those market innovations that, with or without intention, also creates public value and helps combatting societal issues.

Yes / The analysis of potentially large volumes of crowd-sourced and social media data is central to meeting the requirements of the ATHENA project. Here, we discuss the various stages of the pipeline process we have developed, including acquisition of the data, analysis, aggregation, filtering, and structuring. We highlight the challenges involved when working with unstructured, noisy data from sources such as Twitter, and describe the crisis taxonomies that have been developed to support the tasks and enable concept extraction. State-of-the-art techniques such as formal concept analysis and machine learning are used to create a range of capabilities including concept drill down, sentiment analysis, credibility assessment, and assignment of priority. We ground many of these techniques using results obtained from a set of tweets which emerged from the Colorado wildfires of 2012 in order to demonstrate the applicability of our work to real crisis scenarios.

Implication is a logical connective corresponding to the rule of causality "if ... then ...". Implications allow one to organize knowledge of some field of application in an intuitive and convenient manner. This thesis explores possibilities of automatic construction of all valid implications (implicative theory) in a given field. As the main method for constructing implicative theories a robust active learning technique called Attribute Exploration was used. Attribute Exploration extracts knowledge from existing data and offers a possibility of refining this knowledge via providing counter-examples. In frames of the project implicative theories were constructed automatically for two mathematical domains: algebraic identities and parametrically expressible functions. This goal was achieved thanks both pragmatical approach of Attribute Exploration and discoveries in respective fields of application. The two diverse application fields favourably illustrate different possible usage patterns of Attribute Exploration for automatic construction of implicative theories.

A segurança do cuidado cirúrgico tem emergido como problema global de saúde pública. O processo de recuperação cirúrgica é dinâmico e prolongado, pode ser influenciado por diferentes fatores, os quais afetam a recuperação do paciente em direção negativa ou positiva. Os eventos adversos no pós-operatório acometem cerca de 78 a 86% dos pacientes, sendo as alterações com a ferida cirúrgica uma das principais complicações. O objetivo geral do estudo foi realizar a análise do conceito recuperação cirúrgica retardada. Para tal, elegeu-se o modelo de análise de conceito de Rodgers para fundamentar a condução do estudo e a revisão integrativa para alcançar a segunda atividade do modelo adotado. Na condução da revisão integrativa, a busca dos estudos primários ocorreu nas bases de dados PubMed, CINAHL, EMBASE e LILACS com a utilização de descritores controlados e não controlados delimitados de acordo com a especificidade de cada base de dados. Na estratégia de busca adotada, os descritores controlados e não controlados foram combinados de diferentes formas para assegurar ampla busca. Assim, dos 1.155 estudos primários potencialmente elegíveis, desses, 103 eram estudos secundários, 836 não contemplavam os critérios de seleção delimitados e 150 referências eram duplicadas. Portanto, a amostra da revisão integrativa foi composta de 66 estudos primários. A extração de dados dos estudos primários incluídos foi realizada com auxílio de instrumento elaborado, o qual foi submetido à validação aparente e de conteúdo. A síntese dos resultados evidenciados foi realizada na forma descritiva, possibilitando a construção das outras atividades propostas no modelo de análise de conceito de Rodgers. Na análise do conceito recuperação cirúrgica retardada, o antecedente identificado foi experiências prévias, abrangendo aspectos fisiológicos, psicológicos, ambientais e os relacionados ao procedimento cirúrgico, capazes de influenciar o processo de recuperação. Os atributos da recuperação cirúrgica retardada foram definidos como: alteração no processo de recuperação cirúrgica, comprometimento das funções fisiológicas, comprometimento das funções psicológicas, nível de energia (força) reduzido, capacidade limitada para restabelecer atividades e extensão do tempo de recuperação. Os consequentes do conceito recuperação cirúrgica retardada são expressos por: manifestações clínicas, reintervenções, dependência de cuidados e redução na qualidade de vida. Assim, a recuperação cirúrgica retardada foi definida como alteração no processo de recuperação cirúrgica, envolvendo comprometimento das funções fisiológicas e psicológicas, desencadeando demanda alta frente à reserva de energia do paciente que limita a capacidade de restabelecer e executar atividades da vida diária, estendendo o tempo de recuperação para o alcance de estado de saúde melhor ou equivalente ao período pré-operatório. A compreensão do conceito recuperação cirúrgica retardada possibilitará caracterizar os fenômenos, descrever situações e estabelecer comunicação efetiva, fornecendo competências para a realização da monitoração e avaliação do paciente cirúrgico, permitindo assim, a implementação de intervenções efetivas, e consequentemente o alcance de resultados melhores e bem-estar do paciente. / The safety of surgical care has emerged as a global public health problem. The surgical recovery process is dynamic and lengthy and can be influenced by different factors, which affect the patients\' recovery in the negative or positive sense. Adverse postoperative events affect between 78 and 86% of patients, with surgical wound alterations as one of the main complications. The general objective in this study was to analyze the concept delayed surgical recovery. Therefore, Rodgers\' concept analysis model was elected to support the research development and the integrative review to accomplish the second activity in the model adopted. In the course of the integrative review, the search for primary studies mainly covered the databases PubMed, CINAHL, EMBASE and LILACS, using controlled and non-controlled descriptors, selected according to the particularity of each database. In the adopted search strategy, the controlled and non-controlled descriptors were combined in different manners to guarantee a broad search. Hence, out of 1,155 potentially eligible primary studies, 103 were secondary studies, 836 did not comply with the established selection criteria and150 were repeated references. Thus, the integrative review sample consisted of 66 primary studies. Data were extracted from the primary studies with the help of an instrument, which was submitted to face and content validation. The results were synthesized descriptively, permitting the construction of the other activities proposed in Rodgers\' concept analysis model. In the analysis of the delayed surgical recovery concept, previous experiences were identified as the antecedent, including physiological, psychological, environmental and surgical procedure-related aspects, which can influence the recovery process. The attributes of delayed surgical recovery were defined as: alteration in the surgical recovery process, commitment of physiological functions, commitment of psychological functions, reduced energy (strength) level, limited ability to reestablish activities and extent of recovery time. The attributes consequent to the surgical recovery process are expressed as: clinical manifestations, re-interventions, dependence on care and reduced quality of life. Hence, delayed surgical recovery was defined as alteration in the surgical recovery process, involving the commitment of physiological and psychological functions, putting a high demand on the patient\'s energy reserves which limits the ability to reestablish and perform activities of daily living, extending the recovery time to reach a health condition that is better or equivalent to the preoperative period. The understanding of the delayed surgical recovery process permits characterizing the phenomena, describing situations and establishing effective communication, providing competences to monitor and assess surgical patients, thus permitting the implementation of effective interventions and, consequently, the achievement of better patient outcomes and well-being.

A Análise de Conceitos Formais (FCA) é uma teoria matemática que formaliza a noção de conceitos e hierarquias conceituais. De importância central a esta teoria é uma estrutura algébrica denominada reticulado de conceitos. Esta estrutura é definida em função de um conjunto de objetos, outro de atributos e uma relação que indica os atributos apresentados por cada objeto. Uma representação gráfica de um reticulado de conceitos, por meio de uma interface computacional, é capaz de expor regularidades presentes em dados a um usuário, e este pode então realizar tarefas de análise exploratória de dados. Este tipo de aplicação de FCA vem sendo empregado em dezenas de projetos pertencentes a áreas diversas, como medicina, serviços de inteligência, engenharia de software e bioinformática. Mostramos neste trabalho um sistema de análise exploratória de dados baseado em FCA, e sua utilização sobre dados reais. Também é mostrado como reticulados de conceitos podem ser empregados em interfaces de recuperação de informação. Do ponto de vista algorítmico, analisamos métodos computacionais para a determinação do reticulado de conceitos, e também de uma subestrutura simplificada, o conjunto de conceitos. O tamanho de um reticulado de conceitos pode ser exponencial em função dos tamanhos dos conjuntos de objetos e de atributos. Assim, é de vital interesse o estabelecimento de cotas superiores para o número de conceitos de um reticulado. Neste trabalho, apresentamos as cotas já conhecidas presentes na literatura. Também estabelecemos uma nova cota superior, e mostramos famílias de casos em que nossa cota superior é mais justa que as demais. Para algumas famílias particulares, nossa cota é polinomial, enquanto que as demais são exponenciais. / Formal Concept Analysis (FCA) is a mathematical theory that formalizes the notion of concepts and conceptual hierarchies. Of central importance to this theory is an algebraic structure termed concept lattice. Such structure becomes defined after being given one set of objects, one of attributes, and an incidence relation describing the attributes held by each object. A graphical representation of a concept lattice, by means of a computational interface, is capable of unfolding regularities present in data to an user, who is then able to conduct exploratory data analysis tasks. This sort of FCA application is currently deployed in tens of projects belonging to a wide range of areas, such as medicine, intelligence services, software engineering and bioinformatics. We show in this work an FCA-based system of exploratory data analysis, and its use over real data. Moreover, it is shown how concept lattices can be employed in information retrieval interfaces. From the algorithmic viewpoint, we analyse computational methods for the determination of a concept lattice, and also of a simplified substructure, the concept set. The size of a concept lattice can be exponential when compared to the size of the objects and the attributes sets. Therefore, it is of paramount interest the establishment of upper bounds for the number of concepts of a lattice. In this work, we present the upper bounds already known in the literature. We also establish a new upper bound, and show families of cases in which our bound is sharper than the others. For particular families, our bound is polynomial, whereas the other bounds are exponential.