Signwriting : um sistema de escrita das línguas gestuais : aplicação à língua gestual portuguesa

A língua gestual (LG) é a língua natural da pessoa surda, sendo utilizada como forma de expressão e comunicação da comunidade surda de um determinado país. Porém, é de todo impossível escrever estas línguas através de um alfabeto comum como o da Língua Portuguesa (LP). Em 1974, na Dinamarca, Valerie Sutton criou o SignWriting (SW), um sistema de escrita das línguas gestuais, contrariando assim a ideia de que as línguas espaço-visuais não poderiam ter uma representação gráfica. Para o surgimento deste sistema foram fundamentais os estudos pioneiros de William Stokoe que reconheceram o estatuto linguístico das línguas gestuais, atribuindo-lhes propriedades inerentes a uma língua, como por exemplo a arbitrariedade e convencionalidade. Neste trabalho apresentamos o SW, sistema de escrita das línguas gestuais já utilizado noutros países, e questionamos se é exequível e profícua a sua adaptação à língua gestual portuguesa (LGP). Nesse sentido, concretizamos a escrita da LGP com base em áreas vocabulares distintas e presentes no programa curricular do ensino da LGP. Por último, efetivamos tal proposta através de um modelo de ação de formação em SW.

Modelling disease spread and control in networks: implications for plant sciences

Networks are ubiquitous in natural, technological and social systems. They are of increasing relevance for improved understanding and control of infectious diseases of plants, animals and humans, given the interconnectedness of today's world. Recent modelling work on disease development in complex networks shows: the relative rapidity of pathogen spread in scale-free compared with random networks, unless there is high local clustering; the theoretical absence of an epidemic threshold in scale-free networks of infinite size, which implies that diseases with low infection rates can spread in them, but the emergence of a threshold when realistic features are added to networks (e.g. finite size, household structure or deactivation of links); and the influence on epidemic dynamics of asymmetrical interactions. Models suggest that control of pathogens spreading in scale-free networks should focus on highly connected individuals rather than on mass random immunization. A growing number of empirical applications of network theory in human medicine and animal disease ecology confirm the potential of the approach, and suggest that network thinking could also benefit plant epidemiology and forest pathology, particularly in human-modified pathosystems linked by commercial transport of plant and disease propagules. Potential consequences for the study and management of plant and tree diseases are discussed.

Enhancing dominant modes in nonstationary time series by means of the symbolic resonance analysis

We present the symbolic resonance analysis (SRA) as a viable method for addressing the problem of enhancing a weakly dominant mode in a mixture of impulse responses obtained from a nonlinear dynamical system. We demonstrate this using results from a numerical simulation with Duffing oscillators in different domains of their parameter space, and by analyzing event-related brain potentials (ERPs) from a language processing experiment in German as a representative application. In this paradigm, the averaged ERPs exhibit an N400 followed by a sentence final negativity. Contemporary sentence processing models predict a late positivity (P600) as well. We show that the SRA is able to unveil the P600 evoked by the critical stimuli as a weakly dominant mode from the covering sentence final negativity. (c) 2007 American Institute of Physics. (c) 2007 American Institute of Physics.

Understanding of auditory discourse in older adults: the effects of syntax and working memory

Background: As people age, language-processing ability changes. While several factors modify discourse comprehension ability in older adults, syntactic complexity of auditory discourse has received scant attention. This is despite the widely researched domain of syntactic processing of single sentences in older adults. Aims: The aims of this study were to investigate the ability of healthy older adults to understand stories that differed in syntactic complexity, and its relation to working memory. Methods & Procedures: A total of 51 healthy adults (divided into three age groups) took part. They listened to brief stories (syntactically simple and syntactically complex) and had to respond to false/true comprehension probes following each story. Working memory capacity (digit span, forward and backward) was also measured. Outcomes & Results: Differences were found in the ability of healthy older adults to understand simple and complex discourse. The complex discourse in particular was more sensitive in discerning age-related language patterns. Only the complex discourse task correlated moderately with age. There was no correlation between age and simple discourse. As far as working memory is concerned, moderate correlations were found between working memory and complex discourse. Education did not correlate with discourse, neither simple, nor complex. Conclusions: Older adults may be less efficient in forming syntactically complex representations and this may be influenced by limitations in working memory.

Testing Turing's five minutes, parallel-paired imitation game

Purpose – The purpose of this paper is to consider Turing's two tests for machine intelligence: the parallel-paired, three-participants game presented in his 1950 paper, and the “jury-service” one-to-one measure described two years later in a radio broadcast. Both versions were instantiated in practical Turing tests during the 18th Loebner Prize for artificial intelligence hosted at the University of Reading, UK, in October 2008. This involved jury-service tests in the preliminary phase and parallel-paired in the final phase. Design/methodology/approach – Almost 100 test results from the final have been evaluated and this paper reports some intriguing nuances which arose as a result of the unique contest. Findings – In the 2008 competition, Turing's 30 per cent pass rate is not achieved by any machine in the parallel-paired tests but Turing's modified prediction: “at least in a hundred years time” is remembered. Originality/value – The paper presents actual responses from “modern Elizas” to human interrogators during contest dialogues that show considerable improvement in artificial conversational entities (ACE). Unlike their ancestor – Weizenbaum's natural language understanding system – ACE are now able to recall, share information and disclose personal interests.

Production and comprehension of English and Hindi in multilingual transcortical aphasia

This study investigates the two later-acquired but proficient languages, English and Hindi, of two multilingual individuals with transcortical aphasia (right basal ganglia lesion in GN and brain stem lesion in GS). Dissociation between lexical and syntactic profiles in both the languages with a uniform performance across the languages at the lexical level and an uneven performance across the languages at the syntactic level was observed. Their performances are discussed in relation to the implicit/explicit language processes (Paradis, 1994 and Paradis, 2004) and the declarative/procedural model (Ullman, 2001b and Ullman, 2005) of bilingual language processing. Additionally, their syntactic performance is interpreted in relation to the salient grammatical contrasts between English and Hindi.

The time-course of morphological constraints: a study of plurals inside derived words

The avoidance of regular but not irregular plurals inside compounds (e.g. *rats eater vs. mice eater) has been one of the most widely studied morphological phenomena in the psycholinguistics literature. To examine whether the constraints that are responsible for this contrast have any general significance beyond compounding, we investigated derived word forms containing regular and irregular plurals in two experiments. Experiment 1 was an offline acceptability judgment task, and experiment 2 measured eye movements during reading derived words containing regular and irregular plurals and uninflected base nouns. The results from both experiments show that the constraint against regular plurals inside compounds generalizes to derived words. We argue that this constraint cannot be reduced to phonological properties, but is instead morphological in nature. The eye-movement data provide detailed information on the time-course of processing derived word forms indicating that early stages of processing are affected by a general constraint that disallows inflected words from feeding derivational processes, and that the more specific constraint against regular plurals comes in at a subsequent later stage of processing. We argue that these results are consistent with stage-based models of language processing.

The effects of bilingualism on the white matter structure of the brain

Recent studies suggest that learning and using a second language (L2) can affect brain structure, including the structure of white matter (WM) tracts. This observation comes from research looking at early and older bilingual individuals who have been using both their first and second languages on an everyday basis for many years. This study investigated whether young, highly immersed late bilinguals would also show structural effects in the WM that can be attributed to everyday L2 use, irrespective of critical periods or the length of L2 learning. Our Tract-Based Spatial Statistics analysis revealed higher fractional anisotropy values for bilinguals vs. monolinguals in several WM tracts that have been linked to language processing and in a pattern closely resembling the results reported for older and early bilinguals. We propose that learning and actively using an L2 after childhood can have rapid dynamic effects on WM structure, which in turn may assist in preserving WM integrity in older age.

Method for exploratory cluster analysis and visualisation of single-trial ERP ensembles

Background: The validity of ensemble averaging on event-related potential (ERP) data has been questioned, due to its assumption that the ERP is identical across trials. Thus, there is a need for preliminary testing for cluster structure in the data. New method: We propose a complete pipeline for the cluster analysis of ERP data. To increase the signalto-noise (SNR) ratio of the raw single-trials, we used a denoising method based on Empirical Mode Decomposition (EMD). Next, we used a bootstrap-based method to determine the number of clusters, through a measure called the Stability Index (SI). We then used a clustering algorithm based on a Genetic Algorithm (GA)to define initial cluster centroids for subsequent k-means clustering. Finally, we visualised the clustering results through a scheme based on Principal Component Analysis (PCA). Results: After validating the pipeline on simulated data, we tested it on data from two experiments – a P300 speller paradigm on a single subject and a language processing study on 25 subjects. Results revealed evidence for the existence of 6 clusters in one experimental condition from the language processing study. Further, a two-way chi-square test revealed an influence of subject on cluster membership.

Methods to assess the effectiveness of naturally ventilated classrooms in Gauteng, South Africa

There is a tendency to reduce ventilation rates and natural or hybrid ventilation systems to ensure the conservation of energy in school buildings. However, high indoor pollutant concentration, due to natural or hybrid ventilation systems may have a significant adverse impact on the health and academic performance of pupils and students. Reviewed evidence shows that this can be detrimental to health and wellbeing in schools because of the learner density within a small area, eventually indicating that CO2 concentrations can rise to very high levels (about 4000 ppm) in classrooms during occupancy periods. In South Africa’s naturally ventilated classrooms, it is not clear whether the environmental conditions are conducive for learning. In addition, natural ventilation will be minimized given the fact that in cold, wet or windy weather, doors and windows will commonly remain closed. Evidence from literature based studies indicates that the significance of ventilation techniques is not understood satisfactorily and additional information concerning naturally ventilated schools has to be provided for better design and policy formulation. To develop a thorough understanding of the environments in classrooms, many other parameters have to be considered as well, such as outdoor air quality, CO2 concentrations, temperature and relative humidity and safety issues that may be important drawbacks for naturally ventilated schools. The aim of this paper is to develop a conceptual understanding of methods that can be implemented to assess the effectiveness of naturally ventilated classrooms in Gauteng, South Africa. A theoretical concept with an embedded practical methodology have been proposed for the research programme to investigate the relationship between ventilation rates and learning in schools in Gauteng , a province in South Africa. It is important that existing and future school buildings must include adequate outdoor ventilation, control of moisture, and avoidance of indoor exposures to microbiologic and chemical substances considered likely to have adverse effects in South Africa. Adequate ventilation in classrooms is necessary to reduce and/or eradicate the transmission of indoor pollutants.

Using E-Z Reader to examine the concurrent development of eye-movement control and reading skill

Compared to skilled adult readers, children typically make more fixations that are longer in duration, shorter saccades, and more regressions, thus reading more slowly (Blythe & Joseph, 2011). Recent attempts to understand the reasons for these differences have discovered some similarities (e.g., children and adults target their saccades similarly; Joseph, Liversedge, Blythe, White, & Rayner, 2009) and some differences (e.g., children’s fixation durations are more affected by lexical variables; Blythe, Liversedge, Joseph, White, & Rayner, 2009) that have yet to be explained. In this article, the E-Z Reader model of eye-movement control in reading (Reichle, 2011; Reichle, Pollatsek, Fisher, & Rayner, 1998) is used to simulate various eye-movement phenomena in adults versus children in order to evaluate hypotheses about the concurrent development of reading skill and eye-movement behavior. These simulations suggest that the primary difference between children and adults is their rate of lexical processing, and that different rates of (post-lexical) language processing may also contribute to some phenomena (e.g., children’s slower detection of semantic anomalies; Joseph et al., 2008). The theoretical implications of this hypothesis are discussed, including possible alternative accounts of these developmental changes, how reading skill and eye movements change across the entire lifespan (e.g., college-aged vs. elderly readers), and individual differences in reading ability.

A new proposal for the picture changing operators in the minimal pure spinor formalism

Using a new proposal for the ""picture lowering"" operators, we compute the tree level scattering amplitude in the minimal pure spinor formalism by performing the integration over the pure spinor space as a multidimensional Cauchy-type integral. The amplitude will be written in terms of the projective pure spinor variables, which turns out to be useful to relate rigorously the minimal and non-minimal versions of the pure spinor formalism. The natural language for relating these formalisms is the. Cech-Dolbeault isomorphism. Moreover, the Dolbeault cocycle corresponding to the tree-level scattering amplitude must be evaluated in SO(10)/SU(5) instead of the whole pure spinor space, which means that the origin is removed from this space. Also, the. Cech-Dolbeault language plays a key role for proving the invariance of the scattering amplitude under BRST, Lorentz and supersymmetry transformations, as well as the decoupling of unphysical states. We also relate the Green`s function for the massless scalar field in ten dimensions to the tree-level scattering amplitude and comment about the scattering amplitude at higher orders. In contrast with the traditional picture lowering operators, with our new proposal the tree level scattering amplitude is independent of the constant spinors introduced to define them and the BRST exact terms decouple without integrating over these constant spinors.

Cross-situational and supervised learning in the emergence of communication

Scenarios for the emergence or bootstrap of a lexicon involve the repeated interaction between at least two agents who must reach a consensus on how to name N objects using H words. Here we consider minimal models of two types of learning algorithms: cross-situational learning, in which the individuals determine the meaning of a word by looking for something in common across all observed uses of that word, and supervised operant conditioning learning, in which there is strong feedback between individuals about the intended meaning of the words. Despite the stark differences between these learning schemes, we show that they yield the same communication accuracy in the limits of large N and H, which coincides with the result of the classical occupancy problem of randomly assigning N objects to H words.

Inovação em recursos naturais: acumulação de capacidade em uma empresa de mineração no Brasil (1994-2008)

Ao longo dos últimos 40 anos tem havido uma profusão de estudos sobre acumulação de capacidades tecnológicas em empresas de economias emergentes. Porém, são escassos os estudos que examinem, de maneira conjunta e de uma perspectiva dinâmica, o relacionamento entre trajetórias de acumulação de capacidades tecnológicas e os mecanismos subjacentes de aprendizagem. São ainda mais escassos estudos sobre este relacionamento em firmas atuando na indústria de processamento de recursos naturais. O interesse neste último está em oferecer uma visão alternativa de alguns autores quando se referem a estas indústrias como 'maduras', de 'baixa tecnologia' ou meramente produtoras de 'commodities' e 'no fim da linha de inovação'. Logo, neste estudo, defende-se que as inovações tecnológicas estão bem presentes em empresas baseadas em processamento de recursos naturais, principalmente em empresas de mineração. Buscando preencher essas lacunas da literatura, examinam-se, nesta dissertação, essas questões à luz de modelos analíticos disponíveis na literatura internacional -, adaptados para o contexto desta dissertação. O modelo para examinar a acumulação de capacidades tecnológicas identifica as capacidades para as funções tecnológicas de processos e organização da produção. Para a análise das fontes de capacidades tecnológicas, utiliza-se, nesta dissertação, o modelo para examinar as estratégias intraorganizacionais que desmembram o processo de aprendizagem em aquisição de conhecimento externo e interno e os convertem do nível individual para o organizacional pela socialização e codificação, com base em suas característicaschave: variedade, intensidade e funcionamento. Esse conjunto de relacionamentos é examinado por meio de estudo de caso simples e de longo prazo (1994-2008) em uma empresa de processamento de recursos naturais (mineração de cobre) no Brasil. Tomando-se por base evidências empíricas qualitativas e quantitativas, colhidas em primeira mão, verificou-se o seguinte. 1. A empresa acumulou capacidade inovadora em processos e organização da produção em Nível Inovador Intermediário, ou seja, a empresa já promove a expansão sistemática da capacidade por meio da manipulação de parâmetros-chave de processo. Verificou-se também que a firma tem potencial para atingir o Nível Inovador Avançado em virtude dos avanços obtidos em seu projeto de biolixiviação de cobre sulfetedo. Este nível não foi atingido porque, ao final da pesquisa, a aplicação comercial bem-sucedida deste projeto ainda não tinha sido comprovada. 2. Os vários processos e mecanismos de aprendizagem tiveram um papel crucial na acumulação desse nível de capacidade inovadora. Especificamente a progressiva incidência e a maneira como os mecanismos de aprendizagem foram criados e geridos na empresa contribuíram decisivamente para criar uma base de conhecimento que pennitiu à empresa desenvolver capacidades tanto para atividades de produção como para atividades de inovação. Não obstante, as evidências também sugerem que estes mesmos tipos de mecanismos não foram suficientes para que a empresa acumulasse capacidades além do nível alcançado. Ou seja, o alcance de níveis mais sofisticados de inovação implica a adoção de mecanismos mais complexos de aprendizagem. Naturalmente, outros fatores, como o comportamento da liderança empresarial, também contribuíram para o acúmulo dessas capacidades, embora este ponto tenha sido examinado aqui de maneira superficial. Esses resultados fazem avançar nosso entendimento sobre as dificuldades e complexidades envolvidas no processo de acumulação de capacidades inovadoras em empresas de economias emergentes. O estudo contribui para mostrar que, se empresas dessa natureza objetivarem acumular níveis inovadores de capacidade tecnológica e, com isso, obter melhor performance competitiva, terão que desenhar estratégias robustas de aprendizagem. Finalmente, o estudo joga luz no entendimento sobre o processo de inovação em empresas em indústrias à base de processamento de recursos naturais, setores estes de grande importância para países ricos em recursos naturais como o Brasil.