Los profesores de historia y el papel de la lectura en sus clases

La lectura es una herramienta central en la enseñanza y el aprendizaje de la historia. Son conocidos los problemas que afrontan los alumnos para comprender textos históricos, y por eso -entre otras razones- resulta necesario concebir a la lectura como contenido de enseñanza de la Historia. Los aportes de las investigaciones psicolingüísticas permitieron modificar la concepción acerca de la lectura desde dos puntos de vista: se pasó de entenderla como un proceso de descifrado de lo escrito a un proceso de construcción de significado. A la vez, dejó de ser conceptualizada como un conjunto de habilidades para ser interpretada desde una teoría de comprensión global. Actualmente se caracteriza a la lectura como un proceso de construcción de significados y se ha puesto en evidencia que los conocimientos previos del lector sobre la temática del texto constituyen uno de los factores determinantes de la particular interpretación que realiza (Smith, 1983; Goodman, 1982). Construir el significado de un texto de historia supone construir los conceptos, crear y recrear representaciones sobre los hechos, reorganizar el conocimiento anterior incorporando conocimiento nuevo (Aisenberg, 2003). Este trabajo presenta avances de una investigación que busca construir conocimiento sobre las representaciones de los docentes acerca del papel de la lectura en la enseñanza y el aprendizaje de Historia. Las preguntas que orientan esta investigación son: ¿Qué representaciones tienen los profesores de la Escuela Secundaria sobre el papel de la lectura en la enseñanza y el aprendizaje de la historia? Cuando utilizan textos, ¿qué supuestos subyacen a las propuestas didácticas? Se trata de un estudio exploratorio, abordado desde una lógica de investigación cualitativa. En el análisis de las entrevistas realizadas encontramos ideas, percepciones y referencias a prácticas que responderían a concepciones habituales de la enseñanza tradicional de la historia, y otras que estarían influenciadas por los nuevos desarrollos teóricos sobre el tema, difundidos en los últimos años en espacios de formación y en bibliografía sobre las prácticas de lectura en contextos de estudio. Hasta el momento, se han construido dos modos básicos de concebir la relación de la lectura con la historia por parte de los profesores: una relación de interioridad y una de exterioridad. En articulación con cada una, se pueden encontrar diferencias en las concepciones sobre la lectura, en las interpretaciones acerca de las dificultades de lectura y aprendizaje de los alumnos y en las propuestas de enseñanza en las clases de Historia

Causality and synchronisation in complex systems with applications to neuroscience

This thesis presents an investigation, of synchronisation and causality, motivated by problems in computational neuroscience. The thesis addresses both theoretical and practical signal processing issues regarding the estimation of interdependence from a set of multivariate data generated by a complex underlying dynamical system. This topic is driven by a series of problems in neuroscience, which represents the principal background motive behind the material in this work. The underlying system is the human brain and the generative process of the data is based on modern electromagnetic neuroimaging methods . In this thesis, the underlying functional of the brain mechanisms are derived from the recent mathematical formalism of dynamical systems in complex networks. This is justified principally on the grounds of the complex hierarchical and multiscale nature of the brain and it offers new methods of analysis to model its emergent phenomena. A fundamental approach to study the neural activity is to investigate the connectivity pattern developed by the brain’s complex network. Three types of connectivity are important to study: 1) anatomical connectivity refering to the physical links forming the topology of the brain network; 2) effective connectivity concerning with the way the neural elements communicate with each other using the brain’s anatomical structure, through phenomena of synchronisation and information transfer; 3) functional connectivity, presenting an epistemic concept which alludes to the interdependence between data measured from the brain network. The main contribution of this thesis is to present, apply and discuss novel algorithms of functional connectivities, which are designed to extract different specific aspects of interaction between the underlying generators of the data. Firstly, a univariate statistic is developed to allow for indirect assessment of synchronisation in the local network from a single time series. This approach is useful in inferring the coupling as in a local cortical area as observed by a single measurement electrode. Secondly, different existing methods of phase synchronisation are considered from the perspective of experimental data analysis and inference of coupling from observed data. These methods are designed to address the estimation of medium to long range connectivity and their differences are particularly relevant in the context of volume conduction, that is known to produce spurious detections of connectivity. Finally, an asymmetric temporal metric is introduced in order to detect the direction of the coupling between different regions of the brain. The method developed in this thesis is based on a machine learning extensions of the well known concept of Granger causality. The thesis discussion is developed alongside examples of synthetic and experimental real data. The synthetic data are simulations of complex dynamical systems with the intention to mimic the behaviour of simple cortical neural assemblies. They are helpful to test the techniques developed in this thesis. The real datasets are provided to illustrate the problem of brain connectivity in the case of important neurological disorders such as Epilepsy and Parkinson’s disease. The methods of functional connectivity in this thesis are applied to intracranial EEG recordings in order to extract features, which characterize underlying spatiotemporal dynamics before during and after an epileptic seizure and predict seizure location and onset prior to conventional electrographic signs. The methodology is also applied to a MEG dataset containing healthy, Parkinson’s and dementia subjects with the scope of distinguishing patterns of pathological from physiological connectivity.

Incorporating social role theory into topic models for social media content analysis

In this paper, we explore the idea of social role theory (SRT) and propose a novel regularized topic model which incorporates SRT into the generative process of social media content. We assume that a user can play multiple social roles, and each social role serves to fulfil different duties and is associated with a role-driven distribution over latent topics. In particular, we focus on social roles corresponding to the most common social activities on social networks. Our model is instantiated on microblogs, i.e., Twitter and community question-answering (cQA), i.e., Yahoo! Answers, where social roles on Twitter include "originators" and "propagators", and roles on cQA are "askers" and "answerers". Both explicit and implicit interactions between users are taken into account and modeled as regularization factors. To evaluate the performance of our proposed method, we have conducted extensive experiments on two Twitter datasets and two cQA datasets. Furthermore, we also consider multi-role modeling for scientific papers where an author's research expertise area is considered as a social role. A novel application of detecting users' research interests through topical keyword labeling based on the results of our multi-role model has been presented. The evaluation results have shown the feasibility and effectiveness of our model.

A figuratividade nas histórias em quadrinhos: uma análise das construções metafóricas e metonímicas em V de vingança

The object of this study is the construction of metaphor and metonymy in comics. This work is inserted in the field of Embodied Cognitive Linguistics, specifically based on the Neural Theory of Language (FELDMAN, 2006) and, consistent with this theoretical and methodological framework, the notions of categorization (LAKOFF & JOHNSON, 1999), embodiment (GIBBS, 2005), figurativity (GIBBS, 1994; BERGEN, 2005), and mental simulation (BARSALOU, 1999; FELDMAN, 2006) have also been used. The hypothesis defended is that the construction of figurativity in texts consisting of verbal and nonverbal mechanisms is linked to the activation of neural structures related to our actions and perceptions. Thus, language is considered a cognitive faculty connected to the brain apparatus and to bodily experiences, in such a way that it provides samples of the continuous process of meaning (re)construction performed by the reader, whom (re)defines his or her views about the world as certain neural networks are (or stop being) activated during linguistic processing. The data obtained during the analysys shows that, as regards comics, the act of reading together the graphics and verbal language seems to have an important role in the construction of figurativity, including cases of metaphors which are metonymically motivated. These preliminary conclusions were drawn from the data analysis taken from V de Vingança (MOORE; LLOYD, 2006). The corpus study was guided by the methodology of introspection, i.e., the individual analysis of linguistic aspects as manifested in one's own cognition (TALMY, 2005).

Bayesian nonparametric latent variable models

L’un des problèmes importants en apprentissage automatique est de déterminer la complexité du modèle à apprendre. Une trop grande complexité mène au surapprentissage, ce qui correspond à trouver des structures qui n’existent pas réellement dans les données, tandis qu’une trop faible complexité mène au sous-apprentissage, c’est-à-dire que l’expressivité du modèle est insuffisante pour capturer l’ensemble des structures présentes dans les données. Pour certains modèles probabilistes, la complexité du modèle se traduit par l’introduction d’une ou plusieurs variables cachées dont le rôle est d’expliquer le processus génératif des données. Il existe diverses approches permettant d’identifier le nombre approprié de variables cachées d’un modèle. Cette thèse s’intéresse aux méthodes Bayésiennes nonparamétriques permettant de déterminer le nombre de variables cachées à utiliser ainsi que leur dimensionnalité. La popularisation des statistiques Bayésiennes nonparamétriques au sein de la communauté de l’apprentissage automatique est assez récente. Leur principal attrait vient du fait qu’elles offrent des modèles hautement flexibles et dont la complexité s’ajuste proportionnellement à la quantité de données disponibles. Au cours des dernières années, la recherche sur les méthodes d’apprentissage Bayésiennes nonparamétriques a porté sur trois aspects principaux : la construction de nouveaux modèles, le développement d’algorithmes d’inférence et les applications. Cette thèse présente nos contributions à ces trois sujets de recherches dans le contexte d’apprentissage de modèles à variables cachées. Dans un premier temps, nous introduisons le Pitman-Yor process mixture of Gaussians, un modèle permettant l’apprentissage de mélanges infinis de Gaussiennes. Nous présentons aussi un algorithme d’inférence permettant de découvrir les composantes cachées du modèle que nous évaluons sur deux applications concrètes de robotique. Nos résultats démontrent que l’approche proposée surpasse en performance et en flexibilité les approches classiques d’apprentissage. Dans un deuxième temps, nous proposons l’extended cascading Indian buffet process, un modèle servant de distribution de probabilité a priori sur l’espace des graphes dirigés acycliques. Dans le contexte de réseaux Bayésien, ce prior permet d’identifier à la fois la présence de variables cachées et la structure du réseau parmi celles-ci. Un algorithme d’inférence Monte Carlo par chaîne de Markov est utilisé pour l’évaluation sur des problèmes d’identification de structures et d’estimation de densités. Dans un dernier temps, nous proposons le Indian chefs process, un modèle plus général que l’extended cascading Indian buffet process servant à l’apprentissage de graphes et d’ordres. L’avantage du nouveau modèle est qu’il admet les connections entres les variables observables et qu’il prend en compte l’ordre des variables. Nous présentons un algorithme d’inférence Monte Carlo par chaîne de Markov avec saut réversible permettant l’apprentissage conjoint de graphes et d’ordres. L’évaluation est faite sur des problèmes d’estimations de densité et de test d’indépendance. Ce modèle est le premier modèle Bayésien nonparamétrique permettant d’apprendre des réseaux Bayésiens disposant d’une structure complètement arbitraire.

The geometric meaning of macroevolution

Although the concept of bet-hedging has been useful in microevolutionary studies for over 25 years, a recent paper by Andrew Simons suggests that it is also applicable to macroevolutionary events, with the same fundamental process of selection working at all temporal scales.

Internationalization process: GuestCentric Systems Embracing People‟s Republic of China

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Development of sales invoicing process in industrial services

The objective of this Master’s thesis is to find ways to streamline the invoicing process of the case company. In order to streamline the process, the bottlenecks and development areas of the present invoicing process needs to be identified. The bottlenecks are based on interviews made to personnel. The thesis also offers solutions to overcome the identified bottlenecks. The problem is the slowness of the invoicing process which should get rid off. The slow invoicing process causes delays in obtaining payments. There are many reasons for the slowness and inefficiency of the invoicing process. One of the biggest reasons is that the information systems are not deployed entirely. It causes additional work for everyone. Practices with the customers affect also to the smooth flow of invoicing. The contracts determine when the customer can be invoiced but also work approvals, missing work orders and customer’s own invoicing basis slow the process. The fastest and cheapest solution is to deploy the systems better and do things correctly. Thus duplicated work would decrease and resources would be saved. The work allocation should be modified and the practices with customer should be influenced too. In the future the meaning of IT should be highlighted and new devices exploited.

Determining feature relevance for the grouping of motor unit action potentials through generative topographic mapping

The study of motor unit action potential (MUAP) activity from electrornyographic signals is an important stage on neurological investigations that aim to understand the state of the neuromuscular system. In this context, the identification and clustering of MUAPs that exhibit common characteristics, and the assessment of which data features are most relevant for the definition of such cluster structure are central issues. In this paper, we propose the application of an unsupervised Feature Relevance Determination (FRD) method to the analysis of experimental MUAPs obtained from healthy human subjects. In contrast to approaches that require the knowledge of a priori information from the data, this FRD method is embedded on a constrained mixture model, known as Generative Topographic Mapping, which simultaneously performs clustering and visualization of MUAPs. The experimental results of the analysis of a data set consisting of MUAPs measured from the surface of the First Dorsal Interosseous, a hand muscle, indicate that the MUAP features corresponding to the hyperpolarization period in the physisiological process of generation of muscle fibre action potentials are consistently estimated as the most relevant and, therefore, as those that should be paid preferential attention for the interpretation of the MUAP groupings.

The meaning of evidence-based management to brazilian senior nurse leaders

Purpose: The study objective was to understand the meaning of evidence-based management for senior nurse leaders in accredited, public hospitals in the State of Sao Paulo, Brazil. Design and Method: A phenomenological approach was used to analyze interviews conducted with 10 senior nurse leaders between August 2011 and March 2012. The analytic method was developed by the Brazilian phenomenologist, Martins. Findings: Senior nurse leaders described how they critically appraise many sources of evidence when making managerial decisions. They emphasized the importance of working with their teams to locally adapt and evaluate best evidence associated with managerial decision making and organizational innovations. Their statements also demonstrated how they use evidence-based management to support the adoption of evidence-based practices. They did not, however, provide specific strategies for seeking out and obtaining evidence. Notable challenges were traditional cultures and rigid bureaucracies, while major facilitators included accreditation, teamwork, and shared decision making. Conclusions: Evidence-based management necessitates a continuous process of locating, implementing, and evaluating evidence. In this study leaders provided multiple, concrete examples of all these processes except seeking out and locating evidence. They also gave examples of other leadership skills associated with successful adoption of evidence-based practice and management, particularly interdisciplinary teamwork and shared decision making. Clinical Relevance: This study demonstrates senior nurse leaders' awareness and utilization of evidence-based management. The study also suggests what aspects of evidence-based management need further development, such as more active identification of potential, new organizational innovations. © 2013 Sigma Theta Tau International.

Alteração da fertilidade do solo como indicador do processo de antropização e presença de atividades não agrícolas no assentamento rural Horto Aimorés, municípios de Bauru e Pederneiras/SP =: Change of soil fertility as an indicator of the anthropization process and presence of non agricultural activities at the rural settlement Horto Aimorés, cities of Bauru and Pederneiras/ SP

Pós-graduação em Geografia - FCT

The Internationalization Process as Generator Element of Dynamic Capacities: the case of WEG in Argentina and China

The objective of he article is to research the dynamic capacities developed and used by WEG in its internationalization process and to explain how these capacities help the company defends and supports competitive advantage. The article presents an exploratory study of the internationalization process of WEG in Argentina and China. This article has as analysis approach the dynamic capacities, contributes to the literature of international management in two aspects. First, it adds the analytical look of the internationalization based on dynamic capacities that are still well restricted. Second, when working the dynamic capacities as central element of the analysis of the internationalization process, it Proposes one framework of integrative analysis of the economic and behavioral theories that are used to explain the process of companies`-internationalization, although they are dealt independently and sometimes antagonistic way. The result shows as the dynamic capacities are articulated in the base of WEG in its process of internationalization for Argentina and the subsequent movement for China. The developed dynamic capacities in Argentina were acquired for the Brazilian headquarter and could have been applied in the process of internationalization for China. However, a more complex organizational structure cannot be identified where the inter-subsidiary relationships could share dynamic capacities as proposed in framework.

Telling stories of culture through literature

Grounded on Raymond Williams‘s definition of knowable community as a cultural tool to analyse literary texts, the essay reads the texts D.H.Lawrence wrote while travelling in the Mediterranean (Twilight in Italy, Sea and Sardinia and Etruscan Places) as knowable communities, bringing to the discussion the wide importance of literature not only as an object for aesthetic or textual readings, but also as a signifying practice which tells stories of culture. Departing from some considerations regarding the historical development of the relationship between literature and culture, the essay analyses the ways D. H. Lawrence constructed maps of meaning, where the readers, in a dynamic relation with the texts, apprehend experiences, structures and feelings; putting into perspective Williams‘s theory of culture as a whole way of life, it also analyses the ways the author communicates and organizes these experiences, creating a space of communication and operating at different levels of reality: on the one hand, the reality of the whole way of Italian life, and, on the other hand, the reality of the reader who aspires to make sense and to create an interpretative context where all the information is put, and, also, the reality of the writer in the poetic act of writing. To read these travel writings as knowable communities is to understand them as a form that invents a community with no other existence but that of the literary text. The cultural construction we find in these texts is the result of the selection, and interpretation done by D.H.Lawrence, as well as the product of the author‘s enunciative positions, and of his epistemological and ontological filigrees of existence, structured by the conditions of possibility. In the rearticulation of the text, of the writer and of the reader, in a dynamic and shared process of discursive alliances, we understand that Lawrence tells stories of the Mediterranean through his literary art.

Risk management of new product development process

Dissertation submitted to Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa for the achievement of Integrated Master´s degree in Industrial Management Engineering

Optimization of the Pultrusion process

Manufacturing processes need permanently to innovate and optimize because any can be susceptible to continuous improvement. Innovation and commitment to the development of these new solutions resulting from existing expertise and the continuing need to increase productivity, flexibility and ensuring the necessary quality of the manufactured products. To increase flexibility, it is necessary to significantly reduce set-up times and lead time in order to ensure the delivery of products ever faster. This objective can be achieved through a normalization of the pultrusion line elements. Implicitly, there is an increase of productivity by this way. This work is intended to optimize the pultrusion process of structural profiles. We consider all elements of the system from the storehouse of the fibers (rack) to the pultrusion die. Particular attention was devoted to (a) the guidance system of the fibers and webs, (b) the resin container where the fibers are impregnated, (c) standard plates positioning of the fibers towards the entrance to the spinneret and also (d) reviewed the whole process of assembling and fixing the die as well as its the heating system. With the implementation of these new systems was achieved a significant saving of time set-up and were clearly reduced the unit costs of production. Quality assurance was also increased.