O corpo e a escola: um estudo sobre políticas de subjetivação na sociedade contemporânea

Pós-graduação em Educação - IBRC

A excursão artística Villa-Lobos pelo interior do Estado de São Paulo em 1931

Pós-graduação em Música - IA

A Intervenção reflexiva como instrumento de formação continuada do educador: um estudo em classe especial

Pós-graduação em Educação - FFC

Impacto social do transplante cardíaco

Pós-graduação em Serviço Social - FCHS

Controle motor em pacientes com doença de Parkinson: terapia do espelho, foco de atenção e tarefa dupla

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Transtorno do desenvolvimento da coordenação: efeito do foco de atenção em tarefa bimanual

Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC

Instrução verbal: solicitar foco de atenção não garante sua adoção e melhor desempenho

The purposes of this study were to investigate a) the effect of redundant and non-redundant instruction on external focus of attention adoption, b) the effect of adopting an external focus of attention on performance in a front crawl swimming task, and c) the effect of redundancy in the wording of a verbal instruction on the above variables. 43 college students (m/f) aged 17 to 46 swam 25 m crawl at maximum speed, once under each of three conditions: without focus instruction (SF), following a focus instruction (CF) and a redundant focus instruction (CFR), in counterbalanced order. For focus adoption control, after completing the task participants were asked about what they had focused on while swimming. As a measure of performance, time and number of strokes were taken and the stroke index was calculated. The results showed that under redundant focus instruction (CFR) condition, 42 % failed to adopt the attentional focus as asked, and following focus (CF) instruction, 23 %. Under CF condition, the frequency of participants that adopted the focus was higher than of those who did not. Performance did not differ significantly among the three conditions (p>0,05). These findings stress the need of manipulation checks in attentional focus research, regarding both performance and motor learning efficiency, as well as the need for further investigation into the relation between instruction extension and performance.

Investigating policy processes: The Governance Analytical Frame-work (GAF)

Societies develop ways of making decisions regarding collective problems, thereby creating norms, rules, and institutions; this is what governance is about. In policy research, governance has become an important focus of attention; but debates show a lack of clarity at the conceptual level and a confusion between the use of the concept for prescriptive and analytical purposes. The present article is based on the hypothesis that using a clarified, non-normative governance perspective in policy research can contribute to an improved understanding of political processes, including formal and unrecognised ones, those embedded in larger and smaller social systems, as well as both vertical and horizontal political arrangements. The paper is the result of a collaborative engagement with the concept of governance within several networks, leading to the development of the Governance Analytical Framework (GAF). The GAF is a practical methodology for investigating governance processes, based on five analytical tools: problems, actors, social norms, processes, and nodal points. Besides describing the conceptual sources and analytical purpose of these five tools, the paper presents examples of how the GAF can be operationalised.

Peripheral responses to attended and unattended angry prosody: a dichotic listening paradigm.

We investigated the effects of angry prosody, varying focus of attention, and laterality of presentation of angry prosody on peripheral nervous system activity. Participants paid attention to either their left or their right ear while performing a sex discrimination task on dichotically presented pseudo-words. These pseudo-words were characterized by either angry or neutral prosody and presented stereophonically (anger/neutral, neutral/anger, or neutral/neutral, for the left/right ear, respectively). Reaction times and physiological responses (heart period, skin conductance, finger and forehead temperature) in this study were differentially sensitive to the effects of anger versus neutral prosody, varying focus of attention, and laterality of presentation of angry prosody.

Machine Learning in Scientometrics

El aprendizaje automático y la cienciometría son las disciplinas científicas que se tratan en esta tesis. El aprendizaje automático trata sobre la construcción y el estudio de algoritmos que puedan aprender a partir de datos, mientras que la cienciometría se ocupa principalmente del análisis de la ciencia desde una perspectiva cuantitativa. Hoy en día, los avances en el aprendizaje automático proporcionan las herramientas matemáticas y estadísticas para trabajar correctamente con la gran cantidad de datos cienciométricos almacenados en bases de datos bibliográficas. En este contexto, el uso de nuevos métodos de aprendizaje automático en aplicaciones de cienciometría es el foco de atención de esta tesis doctoral. Esta tesis propone nuevas contribuciones en el aprendizaje automático que podrían arrojar luz sobre el área de la cienciometría. Estas contribuciones están divididas en tres partes: Varios modelos supervisados (in)sensibles al coste son aprendidos para predecir el éxito científico de los artículos y los investigadores. Los modelos sensibles al coste no están interesados en maximizar la precisión de clasificación, sino en la minimización del coste total esperado derivado de los errores ocasionados. En este contexto, los editores de revistas científicas podrían disponer de una herramienta capaz de predecir el número de citas de un artículo en el fututo antes de ser publicado, mientras que los comités de promoción podrían predecir el incremento anual del índice h de los investigadores en los primeros años. Estos modelos predictivos podrían allanar el camino hacia nuevos sistemas de evaluación. Varios modelos gráficos probabilísticos son aprendidos para explotar y descubrir nuevas relaciones entre el gran número de índices bibliométricos existentes. En este contexto, la comunidad científica podría medir cómo algunos índices influyen en otros en términos probabilísticos y realizar propagación de la evidencia e inferencia abductiva para responder a preguntas bibliométricas. Además, la comunidad científica podría descubrir qué índices bibliométricos tienen mayor poder predictivo. Este es un problema de regresión multi-respuesta en el que el papel de cada variable, predictiva o respuesta, es desconocido de antemano. Los índices resultantes podrían ser muy útiles para la predicción, es decir, cuando se conocen sus valores, el conocimiento de cualquier valor no proporciona información sobre la predicción de otros índices bibliométricos. Un estudio bibliométrico sobre la investigación española en informática ha sido realizado bajo la cultura de publicar o morir. Este estudio se basa en una metodología de análisis de clusters que caracteriza la actividad en la investigación en términos de productividad, visibilidad, calidad, prestigio y colaboración internacional. Este estudio también analiza los efectos de la colaboración en la productividad y la visibilidad bajo diferentes circunstancias. ABSTRACT Machine learning and scientometrics are the scientific disciplines which are covered in this dissertation. Machine learning deals with the construction and study of algorithms that can learn from data, whereas scientometrics is mainly concerned with the analysis of science from a quantitative perspective. Nowadays, advances in machine learning provide the mathematical and statistical tools for properly working with the vast amount of scientometrics data stored in bibliographic databases. In this context, the use of novel machine learning methods in scientometrics applications is the focus of attention of this dissertation. This dissertation proposes new machine learning contributions which would shed light on the scientometrics area. These contributions are divided in three parts: Several supervised cost-(in)sensitive models are learned to predict the scientific success of articles and researchers. Cost-sensitive models are not interested in maximizing classification accuracy, but in minimizing the expected total cost of the error derived from mistakes in the classification process. In this context, publishers of scientific journals could have a tool capable of predicting the citation count of an article in the future before it is published, whereas promotion committees could predict the annual increase of the h-index of researchers within the first few years. These predictive models would pave the way for new assessment systems. Several probabilistic graphical models are learned to exploit and discover new relationships among the vast number of existing bibliometric indices. In this context, scientific community could measure how some indices influence others in probabilistic terms and perform evidence propagation and abduction inference for answering bibliometric questions. Also, scientific community could uncover which bibliometric indices have a higher predictive power. This is a multi-output regression problem where the role of each variable, predictive or response, is unknown beforehand. The resulting indices could be very useful for prediction purposes, that is, when their index values are known, knowledge of any index value provides no information on the prediction of other bibliometric indices. A scientometric study of the Spanish computer science research is performed under the publish-or-perish culture. This study is based on a cluster analysis methodology which characterizes the research activity in terms of productivity, visibility, quality, prestige and international collaboration. This study also analyzes the effects of collaboration on productivity and visibility under different circumstances.

Base de dados de informação nutricional, relacionados com doenças crônicas não transmissíveis, de alimentos comercializados no Brasil

A recente evolução das doenças crônicas não transmissíveis (DCNT), possivelmente associadas às mudanças de hábitos alimentares, tem sido um desafio para a promoção da alimentação saudável em vários países, inclusive no Brasil, onde o sódio tem sido o foco de atenção, pela possibilidade da redução da sua elevada ingestão ser uma das medidas com melhor custo benefício para saúde pública. É necessário conhecer o conteúdo de sódio e de componentes específicos, relacionados às DCNT nos alimentos comercializados no país, para orientar o consumidor na seleção adequada dos alimentos e mesmo para modificar sua composição; no entanto, nas bases de dados, o conteúdo desse mineral está presente em um número reduzido de alimentos. O objetivo da presente pesquisa foi a elaboração de uma base de dados de alimentos processados com componentes específicos associados às DCNT, dando ênfase ao sódio, e avaliar o uso dessa base de dados para estimar a sua ingestão. Informações nutricionais de rótulos e de websites de indústrias de alimentos foram coletadas para inclusão na base de dados, elaborada de acordo com as diretrizes do International collaborative project to compare and monitor the nutritional composition of processed foods, coordenado pelo The George Institute for Global Health (Austrália). A avaliação da variação do conteúdo de sódio foi realizada para alguns alimentos processados presentes na base de dados, considerando os de maior consumo nacional. O conteúdo de sódio em refeições de restaurantes populares de São Paulo foi analisado por espectrofotometria de absorção atômica de chama e estimado pela base de dados elaborada para comparação. Na base de dados estão incluídas informações de 2.319 alimentos distribuídos em 14 grupos. Foi observada grande variação no conteúdo de sódio entre diferentes tipos de pães de forma industrializados, de salsichas, de linguiças, de queijos e iogurtes. O conteúdo de sódio analisado nas refeições (base integral) variou de 215,9 mg a 427,9 mg por 100 kcal, enquanto que o conteúdo de sódio estimado variou de 204,2 mg a 486,8 mg por 100 kcal (418 kJ). A análise do coeficiente de correlação entre valores analíticos e estimados do conteúdo de sódio em refeições mostrou forte correlação entre esses dados para dois restaurantes (r=0,703 e 0,897) e moderada correlação para outros dois (r=0,513 e 0,622) dos cinco restaurantes estudados, indicando que através da base de dados elaborada é possível obter uma estimativa da ingestão de sódio. A importância de se conhecer o conteúdo de sódio de refeições e/ou alimentos está na possibilidade de uso dessas informações para orientar a redução do sal empregado no preparo da refeição, e ampliar para o consumidor informações que permitam identificar alternativas para redução do consumo de sal.

ATC-lab: An air traffic control simulator for the laboratory

Air Traffic Control Laboratory Simulator (ATC-lab) is a new low- and medium-fidelity task environment that simulates air traffic control. ATC-lab allows the researcher to study human performance of tasks under tightly controlled experimental conditions in a dynamic, spatial environment. The researcher can create standardized air traffic scenarios by manipulating a wide variety of parameters. These include temporal and spatial variables. There are two main versions of ATC-lab. The medium-fidelity simulator provides a simplified version of en route air traffic control, requiring participants to visually search a screen and both recognize and resolve conflicts so that adequate separation is maintained between all aircraft. The low-fidelity simulator presents pairs of aircraft in isolation, controlling the participant's focus of attention, which provides a more systematic measurement of conflict recognition and resolution performance. Preliminary studies have demonstrated that ATC-lab is a flexible tool for applied cognition research.

Wage inequality and productivity growth:motivating sticks and crippling carrots

Wage inequality is a particular focus of attention not only in public debates over the need for social regulation to support equity, but those over the implications of social regulation for productive performance. The present paper employs panel techniques to examine the comparative historical relationship between wage inequality and hourly labour productivity growth in the manufacturing sectors of nine advanced industrialised nations over the period 1970-1995. The results show that whilst greater inequality in the top half of the wage distribution is associated with greater productivity growth, greater inequality in the bottom half is associated with lower productivity growth. It appears that whilst wage inequality in the top half of the distribution productively motivates higher earners, wage inequality in the bottom half of the distribution is detrimental for productivity performance. The latter result is most likely attributable to the weak incentives to reorganise production where extremely low pay is feasible.

Mobile Access to Cultural and Historical Heritage Web Pages

The main focus of attention in this paper is the access to websites of leading regional, national and world museums. Their accessibility from desktop and mobile devices is hereby evaluated. The paper covers a detailed analysis of the mobile operating systems, their market share in Bulgaria and the opportunities they offer to the users. The need for contemporary cultural and historical heritage websites which maintain lighter but fully-functioning mobile versions, facilitating and making their access from portable devices easier, is also well-grounded here.

Process inventory and pollution prevention overview for the citrus industry

Florida citrus represents approximately 70 percent of the industry production in the United States; therefore, any associated agricultural and industrial contamination is of concern and a focus of attention. The use of synthetic organic chemicals has become a farmer's necessity in order to supply consumers with high quality products, free of pest damage. However, industrial citrus wastes and chemical residual levels worry not only government agencies but also consumers since they indicate a serious habitat risk. This study assesses citrus industrial processes and the paths that chemical substances follow from the time the citrus seed is planted until consumers get a final product as either fresh fruit or processed product. The study is built on information from United States Environmental Protection Agency (US EPA) manuals, Dade County Environmental Resources Management (DERM) inspection records, United States Food and Drug Administration (US FDA) regulations, Florida standards, journal publications, and research reports. Pollution prevention (P2 or prevention-of-pollution) alternatives are identified; alternatives are proposed, evaluated, and included. Strategies are described and pollution prevention opportunities proposed to minimize citrus wastes generation, chemical residuals in products, their environmental impact and health risk aspects while maximizing product quality.