Una herramienta SIG para el análisis socioeconómico de la Región Metropolitana de Barcelona

Este proyecto ha sido desarrollado en el Institut d'Estudis Territorials, y se plantea como una solución visual que permita mapificar variables estadísticas de la Región Metropolitana de Barcelona, mediante una aplicación Web dinámica con la que el usuario pueda consultar y representar datos en el territorio a través de una cartografía de soporte.El Institut d’Estudis Territorials, a petición del Departament de Política Territorial i Obres Públiques, es el encargado de elaborar el Pla Territorial Metropolità de Barcelona. Esta aplicación complementa a los estudios socioeconómicos que se están llevando a cabo, y pretende ser una herramienta de gestión que permita caracterizar el territorio, hacer diagnósticos y evaluar las diferentes propuestas presentadas para dicho plan.En una etapa preliminar se desarrolló una aplicación Excel, pero pronto se manifestaron las numerosas carencias que esta sufría, tales como la dificultad para acceder a ella de manera concurrente, no ofrecer garantías en lo que a medidas de seguridad se refiere y no poder tratar los datos de manera centralizada. El archivo Excel debía ser distribuido entre los diferentes usuarios por lo que cualquier cambio en los datos implicaba una replicación del archivo y en consecuencia una nueva distribución. Resultó obvia la necesidad de una única base de datos centralizada, y un acceso distribuido a ésta. Se planteó entonces una aplicación Web como solución, la cual incluiría herramientas capaces de gestionar información gráfica (cartografía) y alfa-numérica (datos) de manera conjunta. Conociendo las facilidades que los Sistemas de Información Geográfica (SIG) ofrecen para el manejo de este tipo de datos y su interoperabilidad con Internet, se optó por construir un servicio de mapas con el que el usuario, de manera intuitiva, pudiese construir distintos mapas en función de la variable territorial que desease.Así mismo se plantean mejoras futuras, como la predicción a corto plazo de la evolución de diferentes variables, siempre ofreciendo los mapas como componente principal de la interfaz de usuario.

Language lateralization in early and late bilinguals using an international vocabulary

In lateralized Lexical Decision Tasks (LDT), accuracy is commonly higher and reaction times are commonly faster for right visual field (RVF) than left visual field (LVF) presentations. This visual field differences are thought to demonstrate the left hemisphere's dominance for language. Unfortunately, different tasks and words are used between studies and languages making direct comparisons difficult. For example, high frequency words show a performance advantage over low frequency words. Moreover, demographic variables impact on lateralized behavior such as language knowledge (one versus several, early acquired versus late acquired). We here aim to alleviate some of these obstacles by presenting results from a lateralized LDT for which we selected words between 4 and 6 letters used in five different languages, i.e. English, French, German, Dutch and Italian. In this first study using these words, we compared performance of right- and left-handed students being either early or late bilinguals (acquired before or after the age of 6 years) from a French-speaking University in Switzerland. Results showed a left hemispheric advantage (accuracy, reaction times) for all groups, with a trend for early as compared to late bilinguals to be less accurate and taking longer in lexical decisions. These results show that the current words result in solid visual field differences, and do so irrespective of how many languages are spoken. While early bilinguals might experience a slight performance disadvantage, it was not affecting visual field differences.

Health risk behavior pattern among students from Cartagena, Colombia: prevalence and associated variables

The aim of the study was to determine the prevalence and variables associated with the pattern of risky health behavior (PRHB) among adolescent students in Cartagena, Colombia. A cross-sectional study was designed to investigate PRHB in a random cluster sample of students from middle and high schools. The associations were adjusted by logistic regression. A total of 2,625 students participated in this research, with ages from 10 to 20 years, mean=13.8 years (SD=2.0), and 54.3% were women. A total of 332 students reported PRHB (12.7%, 95%CI 11.4–14.0). Age over 15 years (OR=2.19, 95%CI 1.72–2.79), not being heterosexual (OR=1.98, 95%CI 1.36-2.87), poor/mediocre academic performance (OR=1.87, 95%CI 1.47–2.38), family dysfunction (OR=1.78, 95%CI 1.40–2.28) and male gender (OR=1.58, 95%CI 1.24–2.01) were associated with PRHB. One in every eight students presented a PRHB. It is important to pay greater attention to students who are over 15 years of age, male, not heterosexual, with a poor/mediocre academic performance and a dysfunctional family.

Analysis of variables that are not directly observable: influence on decision-making during the research process

The sample dimension, types of variables, format used for measurement, and construction of instruments to collect valid and reliable data must be considered during the research process. In the social and health sciences, and more specifically in nursing, data-collection instruments are usually composed of latent variables or variables that cannot be directly observed. Such facts emphasize the importance of deciding how to measure study variables (using an ordinal scale or a Likert or Likert-type scale). Psychometric scales are examples of instruments that are affected by the type of variables that comprise them, which could cause problems with measurement and statistical analysis (parametric tests versus non-parametric tests). Hence, investigators using these variables must rely on suppositions based on simulation studies or recommendations based on scientific evidence in order to make the best decisions.

Auditory motion affects visual biological motion processing.

The processing of biological motion is a critical, everyday task performed with remarkable efficiency by human sensory systems. Interest in this ability has focused to a large extent on biological motion processing in the visual modality (see, for example, Cutting, J. E., Moore, C., & Morrison, R. (1988). Masking the motions of human gait. Perception and Psychophysics, 44(4), 339-347). In naturalistic settings, however, it is often the case that biological motion is defined by input to more than one sensory modality. For this reason, here in a series of experiments we investigate behavioural correlates of multisensory, in particular audiovisual, integration in the processing of biological motion cues. More specifically, using a new psychophysical paradigm we investigate the effect of suprathreshold auditory motion on perceptions of visually defined biological motion. Unlike data from previous studies investigating audiovisual integration in linear motion processing [Meyer, G. F. & Wuerger, S. M. (2001). Cross-modal integration of auditory and visual motion signals. Neuroreport, 12(11), 2557-2560; Wuerger, S. M., Hofbauer, M., & Meyer, G. F. (2003). The integration of auditory and motion signals at threshold. Perception and Psychophysics, 65(8), 1188-1196; Alais, D. & Burr, D. (2004). No direction-specific bimodal facilitation for audiovisual motion detection. Cognitive Brain Research, 19, 185-194], we report the existence of direction-selective effects: relative to control (stationary) auditory conditions, auditory motion in the same direction as the visually defined biological motion target increased its detectability, whereas auditory motion in the opposite direction had the inverse effect. Our data suggest these effects do not arise through general shifts in visuo-spatial attention, but instead are a consequence of motion-sensitive, direction-tuned integration mechanisms that are, if not unique to biological visual motion, at least not common to all types of visual motion. Based on these data and evidence from neurophysiological and neuroimaging studies we discuss the neural mechanisms likely to underlie this effect.

Evaluation of Composite Pavement Unbonded Overlays: Phase III, August 2006

In recent years, thin whitetopping has evolved as a viable rehabilitation technique for deteriorated asphalt cement concrete (ACC) pavements. Numerous projects have been constructed and tested, allowing researchers to identify the important elements contributing to the projects’ successes. These elements include surface preparation, overlay thickness, synthetic fiber reinforcement usage, joint spacing, and joint sealing. Although the main factors affecting thin whitetopping performance have been identified by previous research, questions still existed as to the optimum design incorporating these variables. The objective of this research is to investigate the interaction between these variables over time. Laboratory testing and field testing were conducted to achieve the research objectives. Laboratory testing involved shear testing of the bond between the portland cement concrete (PCC) overlay and the ACC surface. Field testing involved falling weight deflectometer deflection responses, measurement of joint faulting and joint opening, and visual distress surveys on the 9.6-mile project. The project was located on Iowa Highway 13 extending north from the city of Manchester, Iowa, to Iowa Highway 3 in Delaware County. Variables investigated include ACC surface preparation, PCC thickness, slab size, synthetic fiber reinforcement usage, and joint spacing. This report documents the planning, construction, and performance of each variable in the time period from summer 2002 through spring 2006. The project has performed well with only minor distress identification since its construction.

Biotic and abiotic variables show little redundancy in explaining tree species distributions

Abiotic factors such as climate and soil determine the species fundamental niche, which is further constrained by biotic interactions such as interspecific competition. To parameterize this realized niche, species distribution models (SDMs) most often relate species occurrence data to abiotic variables, but few SDM studies include biotic predictors to help explain species distributions. Therefore, most predictions of species distributions under future climates assume implicitly that biotic interactions remain constant or exert only minor influence on large-scale spatial distributions, which is also largely expected for species with high competitive ability. We examined the extent to which variance explained by SDMs can be attributed to abiotic or biotic predictors and how this depends on species traits. We fit generalized linear models for 11 common tree species in Switzerland using three different sets of predictor variables: biotic, abiotic, and the combination of both sets. We used variance partitioning to estimate the proportion of the variance explained by biotic and abiotic predictors, jointly and independently. Inclusion of biotic predictors improved the SDMs substantially. The joint contribution of biotic and abiotic predictors to explained deviance was relatively small (similar to 9%) compared to the contribution of each predictor set individually (similar to 20% each), indicating that the additional information on the realized niche brought by adding other species as predictors was largely independent of the abiotic (topo-climatic) predictors. The influence of biotic predictors was relatively high for species preferably growing under low disturbance and low abiotic stress, species with long seed dispersal distances, species with high shade tolerance as juveniles and adults, and species that occur frequently and are dominant across the landscape. The influence of biotic variables on SDM performance indicates that community composition and other local biotic factors or abiotic processes not included in the abiotic predictors strongly influence prediction of species distributions. Improved prediction of species' potential distributions in future climates and communities may assist strategies for sustainable forest management.

Adherence to nutritional recommendations and sociodemographic variables in patients with diabetes mellitus

OBJECTIVETo determine if there is a relationship between adherence to nutritional recommendations and sociodemographic variables in Brazilian patients with type 2 diabetes mellitus.METHODSCross-sectional observational study using a stratified random sample of 423 individuals. The Food Frequency Questionnaire (FFQ) was used, and the Fisher's exact test was applied with 95% confidence interval (p<0.05).RESULTSOf the 423 subjects, 66.7% were women, mean age of 62.4 years (SD = 11.8), 4.3 years of schooling on average (SD = 3.6) and family income of less than two minimum wages. There was association between the female gender and adherence to diet with adequate cholesterol content (OR: 2.03; CI: 1.23; 3.34), between four and more years of education and adherence to fractionation of meals (OR: 1 92 CI: 1.19; 3.10), and income of less than two minimum wages and adherence to diet with adequate cholesterol content (OR: 1.74; CI: 1.03, 2.95).CONCLUSIONAdherence to nutritional recommendations was associated with the female gender, more than four years of education and family income of less than two minimum wages.

Fusion of data sets in multivariate linear regression with errors-in-variables

We consider the application of normal theory methods to the estimation and testing of a general type of multivariate regressionmodels with errors--in--variables, in the case where various data setsare merged into a single analysis and the observable variables deviatepossibly from normality. The various samples to be merged can differ on the set of observable variables available. We show that there is a convenient way to parameterize the model so that, despite the possiblenon--normality of the data, normal--theory methods yield correct inferencesfor the parameters of interest and for the goodness--of--fit test. Thetheory described encompasses both the functional and structural modelcases, and can be implemented using standard software for structuralequations models, such as LISREL, EQS, LISCOMP, among others. An illustration with Monte Carlo data is presented.

Preperceptual and stimulus-selective enhancement of low-level human visual cortex excitability by sounds.

Evidence of multisensory interactions within low-level cortices and at early post-stimulus latencies has prompted a paradigm shift in conceptualizations of sensory organization. However, the mechanisms of these interactions and their link to behavior remain largely unknown. One behaviorally salient stimulus is a rapidly approaching (looming) object, which can indicate potential threats. Based on findings from humans and nonhuman primates suggesting there to be selective multisensory (auditory-visual) integration of looming signals, we tested whether looming sounds would selectively modulate the excitability of visual cortex. We combined transcranial magnetic stimulation (TMS) over the occipital pole and psychophysics for "neurometric" and psychometric assays of changes in low-level visual cortex excitability (i.e., phosphene induction) and perception, respectively. Across three experiments we show that structured looming sounds considerably enhance visual cortex excitability relative to other sound categories and white-noise controls. The time course of this effect showed that modulation of visual cortex excitability started to differ between looming and stationary sounds for sound portions of very short duration (80 ms) that were significantly below (by 35 ms) perceptual discrimination threshold. Visual perceptions are thus rapidly and efficiently boosted by sounds through early, preperceptual and stimulus-selective modulation of neuronal excitability within low-level visual cortex.

Adaptive learning in models with lagged variables

In this work I study the stability of the dynamics generated by adaptivelearning processes in intertemporal economies with lagged variables. Iprove that determinacy of the steady state is a necessary condition for the convergence of the learning dynamics and I show that the reciprocal is not true characterizing the economies where convergence holds. In the case of existence of cycles I show that there is not, in general, a relationship between determinacy and convergence of the learning process to the cycle. I also analyze the expectational stability of these equilibria.

Design Gráfico na Construção da Identidade visual da Marca Turística em City Branding.

Esta dissertação apresenta um estudo sobre a participação de Design Gráfico no projeto de identidade visual das marcas turísticas de cidades. O foco recai sobre a coerência da visualidade gráfica da marca com relação ao posicionamento socioeconômico e cultural das cidades, como instâncias de empreendimentos turísticos. O estudo do posicionamento das marcas de cidades foi baseado no livro Competitive Identity (ANHOLT, 2007), também, em Anholt city branding index (2006) e nas atualizações parciais desse índice (ANHOLT, 2009 e 2011). Além disso, as marcas gráficas de 30 cidades e os respectivos dados sobre seu posicionamento, como empreendimentos turísticos, foram coletadas em websites oficiais das cidades na internet. Tendo como base essas 30 cidades com um a marca gráfica turística da cidade, foi proposta uma classificação visual dessas baseando-se em três principais categorias: Categorização conceitual; a Categorização cinéticosensorial; Categorização visual. Com base nessas informações e na classificação da visualidade das marcas gráficas pesquisadas, foi realizado um estudo comparado, visando estabelecer coerências entre a comunicação visual da marca gráfica e o posicionamento socioeconômico e cultural das cidades turísticas. Diante disso, apresentam-se em destaque as marcas das cidades São Paulo e Melbourne, como um exemplo nacional e outro internacional da criatividade gráfica aplicada e da coerência entre o posicionamento do empreendimento turístico e a identidade visual da marca