Attention, memory and verbal learning and their relation to schizotypal traits in unaffected parents of schizophrenic patients

The main objective of this ex post facto study is to compare the differences in cognitive functions and their relation to schizotypal personality traits between a group of unaffected parents of schizophrenic patients and a control group. A total of 52 unaffected biological parents of schizophrenic patients and 52 unaffected parents of unaffected subjects were assessed in measures of attention (Continuous Performance Test- Identical Pairs Version, CPT-IP), memory and verbal learning (California Verbal Learning Test, CVLT) as well as schizotypal personality traits (Oxford-Liverpool Inventory of Feelings and Experiences, O-LIFE). The parents of the patients with schizophrenia differ from the parents of the control group in omission errors on the Continuous Performance Test- Identical Pairs, on a measure of recall and on two contrast measures of the California Verbal Learning Test. The associations between neuropsychological variables and schizotpyal traits are of a low magnitude. There is no defined pattern of the relationship between cognitive measures and schizotypal traits

Adaptive integral assessment package for the A2UN@ project

This paper presents a first approach of Evaluation Engine Architecture (EEA) as proposal to support adaptive integral assessment, in the context of a virtual learning environment. The goal of our research is design an evaluation engine tool to assist in the whole assessment process within the A2UN@ project, linking that tool with the other key elements of a learning design (learning task, learning resources and learning support). The teachers would define the relation between knowledge, competencies, activities, resources and type of assessment. Providing this relation is possible obtain more accurate estimations of student's knowledge for adaptive evaluations and future recommendations. The process is supported by usage of educational standards and specifications and for an integral user modelling

Designing context-aware adaptive units of learning based on IMS-LD standard

Learning contents adaptation has been a subject of interest in the research area of the adaptive hypermedia systems. Defining which variables and which standards can be considered to model adaptive content delivery processes is one of the main challenges in pedagogical design over e-learning environments. In this paper some specifications, architectures and technologies that can be used in contents adaptation processes considering characteristics of the context are described and a proposal to integrate some of these characteristics in the design of units of learning using adaptation conditions in a structure of IMS-Learning Design (IMS-LD) is presented. The key contribution of this work is the generation of instructional designs considering the context, which can be used in Learning Management Systems (LMSs) and diverse mobile devices

Adaptive intelligent agent approach to guide the web navigation on the PLAN-G distance learning platform

Hypermedia systems based on the Web for open distance education are becoming increasingly popular as tools for user-driven access learning information. Adaptive hypermedia is a new direction in research within the area of user-adaptive systems, to increase its functionality by making it personalized [Eklu 961. This paper sketches a general agents architecture to include navigational adaptability and user-friendly processes which would guide and accompany the student during hislher learning on the PLAN-G hypermedia system (New Generation Telematics Platform to Support Open and Distance Learning), with the aid of computer networks and specifically WWW technology [Marz 98-1] [Marz 98-2]. The PLAN-G actual prototype is successfully used with some informatics courses (the current version has no agents yet). The propased multi-agent system, contains two different types of adaptive autonomous software agents: Personal Digital Agents {Interface), to interacl directly with the student when necessary; and Information Agents (Intermediaries), to filtrate and discover information to learn and to adapt navigation space to a specific student

Adaptive business intelligence for an open negotiation environment

Engineering of negotiation model allows to develop effective heuristic for business intelligence. Digital ecosystems demand open negotiation models. To define in advance effective heuristics is not compliant with the requirement of openness. The new challenge is to develop business intelligence in advance exploiting an adaptive approach. The idea is to learn business strategy once new negotiation model rise in the e-market arena. In this paper we present how recommendation technology may be deployed in an open negotiation environment where the interaction protocol models are not known in advance. The solution we propose is delivered as part of the ONE Platform, open source software that implements a fully distributed open environment for business negotiation

An analysis of trust in anonymity networks in the presence of adaptive attackers

Introduces extended Crowds protocols. Optional reading

Genomic architecture of adaptive color pattern divergence and convergence in Heliconius butterflies

Identifying the genetic changes driving adaptive variation in natural populations is key to understanding the origins of biodiversity. The mosaic of mimetic wing patterns in Heliconius butterflies makes an excellent system for exploring adaptive variation using next-generation sequencing. In this study, we use a combination of techniques to annotate the genomic interval modulating red color pattern variation, identify a narrow region responsible for adaptive divergence and convergence in Heliconius wing color patterns, and explore the evolutionary history of these adaptive alleles. We use whole genome resequencing from four hybrid zones between divergent color pattern races of Heliconius erato and two hybrid zones of the co-mimic Heliconius melpomene to examine genetic variation across 2.2 Mb of a partial reference sequence. In the intergenic region near optix, the gene previously shown to be responsible for the complex red pattern variation in Heliconius, population genetic analyses identify a shared 65-kb region of divergence that includes several sites perfectly associated with phenotype within each species. This region likely contains multiple cis-regulatory elements that control discrete expression domains of optix. The parallel signatures of genetic differentiation in H. erato and H. melpomene support a shared genetic architecture between the two distantly related co-mimics; however, phylogenetic analysis suggests mimetic patterns in each species evolved independently. Using a combination of next-generation sequencing analyses, we have refined our understanding of the genetic architecture of wing pattern variation in Heliconius and gained important insights into the evolution of novel adaptive phenotypes in natural populations.

Liderazgo y poder: una aproximación desde la ecología

El trabajo de grado se desarrollará a partir del análisis del liderazgo y el poder como característica de éste, desde una visión ecológica, lo cual constituye un aspecto de gran importancia en los estudios de administración. Primero, se abordará el significado de liderazgo y la importancia que este representa dentro de las organizaciones, a través de la generación de procesos que llevan a la organización a su evolución y desarrollo. Posteriormente se abordará el tema de poder en relación con la comprensión del efecto que este puede tener sobre las interacciones que se dan entre las personas de la organización. Finalmente, se estudiará también desde la ecología, como el poder ejercido por los líderes puede influir en la forma en que estos agentes, es decir personas, procesos e interacciones, interactúan para movilizar a la organización. De esta forma, se asume el poder como un aspecto importante dentro del estudio del liderazgo, en cuanto éste puede afectar la forma en que las personas son lideradas al interior de la organización.

La experiencia de los receptores en el trasplante de órganos y tejidos

El trasplante de órganos y/o tejidos es considerado como una opción terapéutica viable para el tratamiento tanto de enfermedades crónicas o en estadios terminales, como de afectaciones no vitales, pero que generen una disminución en la calidad de vida percibida por el paciente. Este procedimiento, de carácter multidimensional, está compuesto por 3 actores principales: el donante, el órgano/tejido, y el receptor. Si bien un porcentaje significativo de investigaciones y planes de intervención han girado en torno a la dimensión biológica del trasplante, y a la promoción de la donación; el interés por la experiencia psicosocial y la calidad de vida de los receptores en este proceso ha aumentado durante la última década. En relación con esto, la presente monografía se plantea como objetivo general la exploración de la experiencia y los significados construidos por los pacientes trasplantados, a través de una revisión sistemática de la literatura sobre esta temática. Para ello, se plantearon unos objetivos específicos derivados del general, se seleccionaron términos o palabras claves por cada uno de estos, y se realizó una búsqueda en 5 bases de datos para revistas indexadas: Ebsco Host (Academic Search; y Psychology and Behavioral Sciences Collection); Proquest; Pubmed; y Science Direct. A partir de los resultados, se establece que si bien la vivencia de los receptores ha comenzado a ser investigada, aún es necesaria una mayor exploración sobre la experiencia de estos pacientes; exploración que carecería de objetivo si no se hiciera a través de las narrativas o testimonios de los mismos receptores

Adaptive computer assisted assessment of free-text students answers : an approach to automatically generate students' conceptual models.

Las formas de evaluación basadas en el uso de tests no pueden identificar muchos errores conceptuales de los estudiantes. Esta investigación tiene como objetivo facilitar un nuevo procedimiento capaz de generar los modelos conceptuales de los estudiantes de forma automática a partir de respuestas en texto libre.. Este trabajo se organiza en tres apartados. En primer lugar, se procede a la revisión del estado de la cuestión. A continuación se describen el procedimiento para generar automáticamente los modelos conceptuales de los estudiantes y los sistemas que implementan dicho procedimiento. Por último se ofrecen: una explicación de los experimentos realizados y sus resultados, las conclusiones obtenidas y las líneas de trabajo futuro. Además se proporciona información para aplicar el procedimiento en otro idioma y/o área de conocimiento.. Se propone un procedimiento para generar automáticamente modelos conceptuales de cada estudiante y de una clase a partir de las respuestas facilitadas al sistema de evaluación automático y adaptativo. Estos sistemas son la evolución de los actuales de evaluación de respuestas en texto libre, que evalúan respuestas en texto libre automáticamente y de forma adaptada al modelo de cada estudiante..

Adaptive constraints for feature tracking

In this paper extensions to an existing tracking algorithm are described. These extensions implement adaptive tracking constraints in the form of regional upper-bound displacements and an adaptive track smoothness constraint. Together, these constraints make the tracking algorithm more flexible than the original algorithm (which used fixed tracking parameters) and provide greater confidence in the tracking results. The result of applying the new algorithm to high-resolution ECMWF reanalysis data is shown as an example of its effectiveness.

A cell by cell anisotropic adaptive mesh ALE scheme for the numerical solution of the Euler equations

In this paper a cell by cell anisotropic adaptive mesh technique is added to an existing staggered mesh Lagrange plus remap finite element ALE code for the solution of the Euler equations. The quadrilateral finite elements may be subdivided isotropically or anisotropically and a hierarchical data structure is employed. An efficient computational method is proposed, which only solves on the finest level of resolution that exists for each part of the domain with disjoint or hanging nodes being used at resolution transitions. The Lagrangian, equipotential mesh relaxation and advection (solution remapping) steps are generalised so that they may be applied on the dynamic mesh. It is shown that for a radial Sod problem and a two-dimensional Riemann problem the anisotropic adaptive mesh method runs over eight times faster.