Artificial Intelligence

Pearon's resource from the Brookshear Chapter

Emotional intelligence and enterprise handbook : tools and techniques to help students succeed in life and work.

Manual diseñado para que profesores de enseñanza secundaria ayuden y apoyen el desarrollo de la inteligencia emocional, que abarca la conciencia y la responsabilidad, la actitud positiva y apreciativa, la empatía y el respeto, la motivación y la persistencia. Las actividades para nueve sesiones desarrollan la inteligencia con respecto a uno mismo, otras personas, el empleo y el futuro.

101 games and activities for children with aurism, Asperger's and sensory processing disorders.

Una de las mejores maneras para que los niños con autismo, Asperger, trastornos sensoriales aprendan es a través del juego, sin embargo, los mayores desafíos a los que padres y maestros se enfrentan con estos niños es la manera de hacerlos participar con éxito en el juego. En este manual, se ofrece más de un centenar de juegos que ayudan al niño: hacer contacto visual, mantenerse concentrado, y fortalecer sus habilidades motoras; asociar las palabras con los objetos y mejorar las habilidades lingüísticas y numéricas; aprender a interactuar con otras personas, como tomar turnos, y otras habilidades sociales necesarias para asistir a la escuela preescolar.

Relationship among otoacoustic emission suppression and auditory processing measures in adults

The purpose of this Capstone Project is to help determine whether performing otoacoustic emissions with contralateral noise may be used in the diagnosis of Auditory Processing Disorder.

Artificial Cavities and Nest Site Selection by Puerto Rican Parrots: a Multiscale Assessment

We examined nest site selection by Puerto Rican Parrots, a secondary cavity nester, at several spatial scales using the nest entrance as the central focal point relative to 20 habitat and spatial variables. The Puerto Rican Parrot is unique in that, since 2001, all known nesting in the wild has occurred in artificial cavities, which also provided us with an opportunity to evaluate nest site selection without confounding effects of the actual nest cavity characteristics. Because of the data limitations imposed by the small population size of this critically endangered endemic species, we employed a distribution-free statistical simulation approach to assess site selection relative to characteristics of used and unused nesting sites. Nest sites selected by Puerto Rican Parrots were characterized by greater horizontal and vertical visibility from the nest entrance, greater density of mature sierra palms, and a more westerly and leeward orientation of nest entrances than unused sites. Our results suggest that nest site selection in this species is an adaptive response to predation pressure, to which the parrots respond by selecting nest sites offering advantages in predator detection and avoidance at all stages of the nesting cycle. We conclude that identifying and replicating the “nest gestalt” of successful nesting sites may facilitate conservation efforts for this and other endangered avian species.

A geostatistical analysis of soil, vegetation, and image data characterizing land surface variation

The elucidation of spatial variation in the landscape can indicate potential wildlife habitats or breeding sites for vectors, such as ticks or mosquitoes, which cause a range of diseases. Information from remotely sensed data could aid the delineation of vegetation distribution on the ground in areas where local knowledge is limited. The data from digital images are often difficult to interpret because of pixel-to-pixel variation, that is, noise, and complex variation at more than one spatial scale. Landsat Thematic Mapper Plus (ETM+) and Satellite Pour l'Observation de La Terre (SPOT) image data were analyzed for an area close to Douna in Mali, West Africa. The variograms of the normalized difference vegetation index (NDVI) from both types of image data were nested. The parameters of the nested variogram function from the Landsat ETM+ data were used to design the sampling for a ground survey of soil and vegetation data. Variograms of the soil and vegetation data showed that their variation was anisotropic and their scales of variation were similar to those of NDVI from the SPOT data. The short- and long-range components of variation in the SPOT data were filtered out separately by factorial kriging. The map of the short-range component appears to represent the patterns of vegetation and associated shallow slopes and drainage channels of the tiger bush system. The map of the long-range component also appeared to relate to broader patterns in the tiger bush and to gentle undulations in the topography. The results suggest that the types of image data analyzed in this study could be used to identify areas with more moisture in semiarid regions that could support wildlife and also be potential vector breeding sites.

Modelling 2,4-dichlorophenol bioavailability and bioaccumulation by the freshwater fingernail clam Sphaerium corneum using artificial particles and humic acids

The complex and variable composition of natural sediments makes it very difficult to predict the bioavailability and bioaccumulation of sediment-bound contaminants. Several approaches have been proposed to overcome this problem, including an experimental model using artificial particles with or without humic acids as a source of organic matter. For this work, we have applied this experimental model, and also a sample of a natural sediment, to investigate the uptake and bioaccumulation of 2,4-dichlorophenol (2,4-DCP) by Sphaerium corneum. Additionally, the particle-water partition coefficients (K-d) were calculated. The results showed that the bioaccumulation of 2,4-DCP by clams did not depend solely on the levels of chemical dissolved, but also on the amount sorbed onto the particles and the characteristics and the strength of that binding. This study confirms the value of using artificial particles as a suitable experimental model for assessing the fate of sediment-bound contaminants. (c) 2006 Elsevier Ltd. All rights reserved.

Conceptual and perceptual processing in prospective remembering

McDaniel, Robinson-Riegler, and Einstein (1998) recently reported findings in support of the proposal that prospective remembering is largely conceptually driven. In each of the three experiments they reported, however, the task in which the prospective memory target was encountered at test had a predominantly conceptual focus, thereby potentially facilitating retrieval of conceptually encoded features of the studied target event. We report two experiments in which we manipulated the dimension (perceptual or conceptual) along which a target event varied between study and test while using a processing task, at both study and test, compatible with the relevant dimension of target change. When the target was encountered in a sentence validity task at study and test, and the semantic context in which a target was encountered was changed between these two occasions, prospective remembering declined (Experiment 1). A similar decline occurred, using a readability rating task, when the perceptual context (font in which the word was printed) was altered (Experiment 2). These results indicate that both perceptual and conceptual processes can support prospective remembering.

Unifying syntactic theory and sentence processing difficulty through a connectionist minimalist parser

Syntactic theory provides a rich array of representational assumptions about linguistic knowledge and processes. Such detailed and independently motivated constraints on grammatical knowledge ought to play a role in sentence comprehension. However most grammar-based explanations of processing difficulty in the literature have attempted to use grammatical representations and processes per se to explain processing difficulty. They did not take into account that the description of higher cognition in mind and brain encompasses two levels: on the one hand, at the macrolevel, symbolic computation is performed, and on the other hand, at the microlevel, computation is achieved through processes within a dynamical system. One critical question is therefore how linguistic theory and dynamical systems can be unified to provide an explanation for processing effects. Here, we present such a unification for a particular account to syntactic theory: namely a parser for Stabler's Minimalist Grammars, in the framework of Smolensky's Integrated Connectionist/Symbolic architectures. In simulations we demonstrate that the connectionist minimalist parser produces predictions which mirror global empirical findings from psycholinguistic research.