Cognitive assessment of topological movement Patterns and direction turns: An influence of scale

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Des classes sociales aux classes cognitives

Dans ce texte, l’auteur poursuit deux objectifs. Première- ment, il tente de montrer que, désormais, les compétences cognitives priment la classe sociale lorsqu’il s’agit d’obtenir un emploi prestigieux. Pour ce faire, il examine cinq aspects : le statut social et les compétences cognitives, l’effet Flynn, l’interaction entre l’héritabilité et l’environne- mentalité, l’homogamie éducationnelle et la mondialisation. Deuxièmement, l’auteur présente quelques conséquences sociales de cet état de fait aux plans social et éducatif, dont l’idéologie méritocratique.

Des classes sociales aux classes cognitives

Dans ce texte, l’auteur poursuit deux objectifs. Première- ment, il tente de montrer que, désormais, les compétences cognitives priment la classe sociale lorsqu’il s’agit d’obtenir un emploi prestigieux. Pour ce faire, il examine cinq aspects : le statut social et les compétences cognitives, l’effet Flynn, l’interaction entre l’héritabilité et l’environne- mentalité, l’homogamie éducationnelle et la mondialisation. Deuxièmement, l’auteur présente quelques conséquences sociales de cet état de fait aux plans social et éducatif, dont l’idéologie méritocratique.

A cognitive complexity metric applied to cognitive development

Two experiments tested predictions from a theory in which processing load depends on relational complexity (RC), the number of variables related in a single decision. Tasks from six domains (transitivity, hierarchical classification, class inclusion, cardinality, relative-clause sentence comprehension, and hypothesis testing) were administered to children aged 3-8 years. Complexity analyses indicated that the domains entailed ternary relations (three variables). Simpler binary-relation (two variables) items were included for each domain. Thus RC was manipulated with other factors tightly controlled. Results indicated that (i) ternary-relation items were more difficult than comparable binary-relation items, (ii) the RC manipulation was sensitive to age-related changes, (iii) ternary relations were processed at a median age of 5 years, (iv) cross-task correlations were positive, with all tasks loading on a single factor (RC), (v) RC factor scores accounted for 80% (88%) of age-related variance in fluid intelligence (compositionality of sets), (vi) binary- and ternary-relation items formed separate complexity classes, and (vii) the RC approach to defining cognitive complexity is applicable to different content domains. (C) 2002 Elsevier Science (USA). All rights reserved.

Generating controlled image sets in cognitive neuroscience research.

The investigation of perceptual and cognitive functions with non-invasive brain imaging methods critically depends on the careful selection of stimuli for use in experiments. For example, it must be verified that any observed effects follow from the parameter of interest (e.g. semantic category) rather than other low-level physical features (e.g. luminance, or spectral properties). Otherwise, interpretation of results is confounded. Often, researchers circumvent this issue by including additional control conditions or tasks, both of which are flawed and also prolong experiments. Here, we present some new approaches for controlling classes of stimuli intended for use in cognitive neuroscience, however these methods can be readily extrapolated to other applications and stimulus modalities. Our approach is comprised of two levels. The first level aims at equalizing individual stimuli in terms of their mean luminance. Each data point in the stimulus is adjusted to a standardized value based on a standard value across the stimulus battery. The second level analyzes two populations of stimuli along their spectral properties (i.e. spatial frequency) using a dissimilarity metric that equals the root mean square of the distance between two populations of objects as a function of spatial frequency along x- and y-dimensions of the image. Randomized permutations are used to obtain a minimal value between the populations to minimize, in a completely data-driven manner, the spectral differences between image sets. While another paper in this issue applies these methods in the case of acoustic stimuli (Aeschlimann et al., Brain Topogr 2008), we illustrate this approach here in detail for complex visual stimuli.

EFNS guidelines on cognitive rehabilitation: report of an EFNS task force.

Disorders of language, spatial perception, attention, memory, calculation and praxis are a frequent consequence of acquired brain damage [in particular, stroke and traumatic brain injury (TBI)] and a major determinant of disability. The rehabilitation of aphasia and, more recently, of other cognitive disorders is an important area of neurological rehabilitation. We report here a review of the available evidence about effectiveness of cognitive rehabilitation. Given the limited number and generally low quality of randomized clinical trials (RCTs) in this area of therapeutic intervention, the Task Force considered, besides the available Cochrane reviews, evidence of lower classes which was critically analysed until a consensus was reached. In particular, we considered evidence from small group or single cases studies including an appropriate statistical evaluation of effect sizes. The general conclusion is that there is evidence to award a grade A, B or C recommendation to some forms of cognitive rehabilitation in patients with neuropsychological deficits in the post-acute stage after a focal brain lesion (stroke, TBI). These include aphasia therapy, rehabilitation of unilateral spatial neglect (ULN), attentional training in the post-acute stage after TBI, the use of electronic memory aids in memory disorders, and the treatment of apraxia with compensatory strategies. There is clearly a need for adequately designed studies in this area, which should take into account specific problems such as patient heterogeneity and treatment standardization.

Investigative links between cognitive function and moderate-to-vigorous physical activity in elementary physical education

Research has noted both physical and psychosocial benefits when children participate in regular physical activity. Recent studies are indicating that there may also be academic benefits and that students may be more efficient learners with participation in physical activity. This study investigated the influence of acute moderate-to-vigorous physical activity on four cognitive functions: planning, attention, simultaneous processing, and successive processing. Three classes (59 students) were each tested twice using a balanced design (intervention, balance, and control groups). It was found that the intervention group had a large increase in planning abiHty (ES = 1.67) when compared to the balance (ES = .80) and control (ES = -.89) groups. On the three remaining cognitive functions, the intervention group showed effect sizes similar to that of the balance and control groups. These results indicate that improved planning after physical activity may playa role in improving student performance.

Cognitive Behavior Therapy for Obsessive-Compulsive Behavior in Children with Autism Spectrum Disorder: A Comparison of Hierarchical Linear Modelling and Visual Analysis

Behavioral researchers commonly use single subject designs to evaluate the effects of a given treatment. Several different methods of data analysis are used, each with their own set of methodological strengths and limitations. Visual inspection is commonly used as a method of analyzing data which assesses the variability, level, and trend both within and between conditions (Cooper, Heron, & Heward, 2007). In an attempt to quantify treatment outcomes, researchers developed two methods for analysing data called Percentage of Non-overlapping Data Points (PND) and Percentage of Data Points Exceeding the Median (PEM). The purpose of the present study is to compare and contrast the use of Hierarchical Linear Modelling (HLM), PND and PEM in single subject research. The present study used 39 behaviours, across 17 participants to compare treatment outcomes of a group cognitive behavioural therapy program, using PND, PEM, and HLM on three response classes of Obsessive Compulsive Behaviour in children with Autism Spectrum Disorder. Findings suggest that PEM and HLM complement each other and both add invaluable information to the overall treatment results. Future research should consider using both PEM and HLM when analysing single subject designs, specifically grouped data with variability.

Prédire le professionnalisme : une exploration des modèles de la famille de Rasch et de la régression par classes latentes (Étude PERSONA)

L’étude cherche à provoquer la convergence des regards sur des enjeux méthodologiques fondamentaux, soit les enjeux de mesure, de décision et d’impact inhérents à toute démarche de sélection académique. À cet effet, elle explorera la capacité de prédiction de certaines variables non cognitives envers la compétence de professionnalisme observée chez les étudiants du doctorat professionnel de premier cycle en pharmacie. La sélection des candidats au sein des programmes académiques en santé repose en grande partie sur une évaluation de la capacité cognitive des étudiants. Tenant compte du virage compétence pris par la majorité des programmes en santé, la pertinence et la validité des critères traditionnels de sélection sont remises en question. La présente étude propose de valider l’utilisation des échelles de mesure de la personnalité, des valeurs et de l’autodétermination pour guider l’optimalité et l’équité des décisions de sélection. Les enjeux de mesure de ces variables seront abordés principalement par la modélisation dichotomique et polytomique de Rasch. L’application de la méthode des strates permettra, par la suite, de répondre aux enjeux de décision en procédant à une différenciation et un classement des étudiants. Puis, les enjeux d’impact seront, à leur tour, explorés par le modèle de régression par classes latentes. L’étude démontre notamment que le recours à la modélisation a permis une différenciation précise des étudiants. Cependant, la violation de certaines conditions d’application des modèles et la faible différenciation établie entre les étudiants sur la base des critères de professionnalisme, rendent l’évaluation de la capacité de prédiction de la personnalité, des valeurs et de l’autodétermination hasardeuse. À cet effet, les modèles identifiés par les analyses de régression par classes latentes s’avèrent peu concluants. Les classes latentes ainsi identifiées ne présentent pas de distinctions marquées et utiles à la sélection. Bien que les diverses procédures de modélisation proposées présentent des avantages intéressants pour une utilisation en contexte de sélection académique, des recherches additionnelles sur la qualité des critères de professionnalisme et sur la qualité des échelles de mesure des variables non cognitives demeurent nécessaires.

Ofensiva do Capital e Desmobilização das Forças do Trabalho: As Estratégias Gerenciais Burguesas para a Desarticulação das Classes Trabalhadoras

The problematic that gives shape to this research is the question of the historical process of demobilization of the movement of the working classes in your accented contemporary moment. Their object of study, however, and that it particularizes, it relates to a portion this problematic; it relates to set of determinations that comprise a broader set of determinations of this historical process: it is a set of determinations forged and mediated by bourgeois strategies of management for the conformation of the circumstances necessary for the domination and for the conduct of labor force on operations in work processes for the production of surplus value. What we investigated are, because, the strategies of disarticulation that the bourgeoisie utilizes, under the mantle of subsidies conceptual and interventive of its management of work processes and the sieve of class struggles, to obstruct the union of workers; hamper the movements proletarians. Managerial strategies that intentionally or unintentionally, instill in the social relations of production means to produce and reproduce, activate and reactivate conditions of incitement of individualism and competition between the workers themselves. We shall see, thus, by analyzing means, centrally, from some of the fundamentals of disarticulation in the managerial strategies bourgeois and some of the fundamental strategies of management bourgeois hegemonized with the restructuring productive of 1970, that the disarticulation, and also the demobilization, is a concrete condition, is an objective condition, that is beyond a question that can be "solved" only by enlightenment cognitive, only by formation criticism intellectual. In everyday of the work spaces permeated by managerial strategies bourgeois there elements, then, operating as a material force putting difficulties important for the articulation of the workers, the solidarity of the proletariat; elements that constitute obstacle significant to an awareness of class and belonging; elements act in favor of the atomization of the worker - even if engenders, in the same process, as a contradiction, potentiality of resistance and fight the forces of labor

Analog Modeling of Human Cognitive Functions with Tripartite Synapses

Searching for an understanding of how the brain supports conscious processes, cognitive scientists have proposed two main classes of theory: Global Workspace and Information Integration theories. These theories seem to be complementary, but both still lack grounding in terms of brain mechanisms responsible for the production of coherent and unitary conscious states. Here we propose following James Robertson's "Astrocentric Hypothesis" - that conscious processing is based on analog computing in astrocytes. The "hardware" for these computations is calcium waves mediated by adenosine triphosphate signaling. Besides presenting our version of this hypothesis, we also review recent findings on astrocyte morphology that lend support to their functioning as Local Hubs (composed of protoplasmic astrocytes) that integrate synaptic activity, and as a Master Hub (composed, in the human brain, by a combination of interlaminar, fibrous, polarized and varicose projection astrocytes) that integrates whole-brain activity.

Escolarização de alunos com deficiência intelectual em classes comuns e em salas de recursos multifuncionais

Pós-graduação em Educação Escolar - FCLAR

Spectrum Sensing Algorithms for Cognitive Radio Applications

Future wireless communications systems are expected to be extremely dynamic, smart and capable to interact with the surrounding radio environment. To implement such advanced devices, cognitive radio (CR) is a promising paradigm, focusing on strategies for acquiring information and learning. The first task of a cognitive systems is spectrum sensing, that has been mainly studied in the context of opportunistic spectrum access, in which cognitive nodes must implement signal detection techniques to identify unused bands for transmission. In the present work, we study different spectrum sensing algorithms, focusing on their statistical description and evaluation of the detection performance. Moving from traditional sensing approaches we consider the presence of practical impairments, and analyze algorithm design. Far from the ambition of cover the broad spectrum of spectrum sensing, we aim at providing contributions to the main classes of sensing techniques. In particular, in the context of energy detection we studied the practical design of the test, considering the case in which the noise power is estimated at the receiver. This analysis allows to deepen the phenomenon of the SNR wall, providing the conditions for its existence and showing that presence of the SNR wall is determined by the accuracy of the noise power estimation process. In the context of the eigenvalue based detectors, that can be adopted by multiple sensors systems, we studied the practical situation in presence of unbalances in the noise power at the receivers. Then, we shift the focus from single band detectors to wideband sensing, proposing a new approach based on information theoretic criteria. This technique is blind and, requiring no threshold setting, can be adopted even if the statistical distribution of the observed data in not known exactly. In the last part of the thesis we analyze some simple cooperative localization techniques based on weighted centroid strategies.

Adjectives in Thai: Implications for a functionalist typology of word classes

Tai languages are often described as “lacking” a major lexical class “adjectives”; accordingly, they and other area languages are frequently cited as evidence against adjectival universality. This article brings the putative lack under examination, arguing that a more complete distributional analysis reveals a pattern: overlap is highest among semantically peripheral adjectives and verbs and in constructions prototypically associated to both classes crosslinguistically, and lowest among semantically core adjectives and verbs and in constructions prototypically associated to only one or the other class. Rather than “lacking” adjectives, data from Thai thus in fact support functional-typological characterizations of adjectival universality such as those of Givón (1984), Croft (2001), and Dixon (2004). Finally, while data from Thai would fail to falsify an adaptation of Enfield's (2004) Lao lexical class-taxonomy (in which adjectives are treated as a verbal subclass) on its own terms, this article argues that in absence of both universally-applicable criteria for the evaluation of categorial taxonomies crosslinguistically and evidence for the cognitive reality of categorial taxonomies so stipulated, even this more limited sense of a “lack” of adjectives in Thai is less radical a challenge to adjectival universality than has sometimes been supposed.