Dysfunctional and compensatory duality in mild cognitive impairment during a continuous recognition memory task

One of the current issues of debate in the study of mild cognitive impairment (MCI) is deviations of oscillatory brain responses from normal brain states and its dynamics. This work aims to characterize the differences of power in brain oscillations during the execution of a recognition memory task in MCI subjects in comparison with elderly controls. Magnetoencephalographic (MEG) signals were recorded during a continuous recognition memory task performance. Oscillatory brain activity during the recognition phase of the task was analyzed by wavelet transform in the source space by means of minimum norm algorithm. Both groups obtained a 77% hit ratio. In comparison with healthy controls, MCI subjects showed increased theta (p < 0.001), lower beta reduction (p < 0.001) and decreased alpha and gamma power (p < 0.002 and p < 0.001 respectively) in frontal, temporal and parietal areas during early and late latencies. Our results point towards a dual pattern of activity (increase and decrease) which is indicative of MCI and specific to certain time windows, frequency bands and brain regions. These results could represent two neurophysiological sides of MCI. Characterizing these opposing processes may contribute to the understanding of the disorder.

Age-Related Effects in Working Memory Recognition Modulated by Retroactive Interference

One of the main causes for age-related declines in working memory is a higher vulnerability to retroactive interference due to a reduced ability to suppress irrelevant information. However, the underlying neural correlates remain to be established. Magnetoencephalography was used to investigate differential neural patterns in young and older adults performing an interference-based memory task with two experimental conditions, interrupting and distracting, during successful recognition. Behaviorally, both types of retroactive interference significantly impaired accuracy at recognition more in older adults than in young adults with the latter exhibiting greater disruptions by interrupters. Magnetoencephalography revealed the presence of differential age-related neural patterns. Specifically, time-modulated activations in temporo-occipital and superior parietal regions were higher in young adults compared with older adults for the interrupting condition. These results suggest that age-related deficits in inhibitory mechanisms that increase vulnerability to retroactive interference may be associated with neural under-recruitments in a high-interference task.

Identifying Topics in Social Media Posts using DBpedia

This paper describes a method for identifying topics in text published in social media, by applying topic recognition techniques that exploit DBpedia. We evaluate such method for social media in Spanish and we provide the results of the evaluation performed.

A Satisfaction-based Model for Affect Recognition from Conversational Features in Spoken Dialog Systems

Detecting user affect automatically during real-time conversation is the main challenge towards our greater aim of infusing social intelligence into a natural-language mixed-initiative High-Fidelity (Hi-Fi) audio control spoken dialog agent. In recent years, studies on affect detection from voice have moved on to using realistic, non-acted data, which is subtler. However, it is more challenging to perceive subtler emotions and this is demonstrated in tasks such as labelling and machine prediction. This paper attempts to address part of this challenge by considering the role of user satisfaction ratings and also conversational/dialog features in discriminating contentment and frustration, two types of emotions that are known to be prevalent within spoken human-computer interaction. However, given the laboratory constraints, users might be positively biased when rating the system, indirectly making the reliability of the satisfaction data questionable. Machine learning experiments were conducted on two datasets, users and annotators, which were then compared in order to assess the reliability of these datasets. Our results indicated that standard classifiers were significantly more successful in discriminating the abovementioned emotions and their intensities (reflected by user satisfaction ratings) from annotator data than from user data. These results corroborated that: first, satisfaction data could be used directly as an alternative target variable to model affect, and that they could be predicted exclusively by dialog features. Second, these were only true when trying to predict the abovementioned emotions using annotator?s data, suggesting that user bias does exist in a laboratory-led evaluation.

Towards a fuzzy-based multi-classifier selection module for activity recognition applications

Performing activity recognition using the information provided by the different sensors embedded in a smartphone face limitations due to the capabilities of those devices when the computations are carried out in the terminal. In this work a fuzzy inference module is implemented in order to decide which classifier is the most appropriate to be used at a specific moment regarding the application requirements and the device context characterized by its battery level, available memory and CPU load. The set of classifiers that is considered is composed of Decision Tables and Trees that have been trained using different number of sensors and features. In addition, some classifiers perform activity recognition regardless of the on-body device position and others rely on the previous recognition of that position to use a classifier that is trained with measurements gathered with the mobile placed on that specific position. The modules implemented show that an evaluation of the classifiers allows sorting them so the fuzzy inference module can choose periodically the one that best suits the device context and application requirements.

The Role of ICT in Scaling Up the Impact of Social Enterprises

Information and Communication Technologies (ICT) can help social enterprises and other organizations working on global sustainability issues and in the human development sector in general scale their social impact. The flexibility, dynamism, and ubiquity of ICTs make them powerful tools for improving relationships among organizations and their beneficiaries, multiplying the effects of action against many, if not all, aspects of global unsustainability, including poverty and exclusion. The scaling of social impact occurs in two different dimensions. On one hand, ICTs can increase the value proposition of a program or action (depth scaling) in different ways: providing accurate and fast needs recognition, adapting products and services, creating opportunities, building fairer markets, mobilizing actions on environmental and social issues, and creating social capital. On the other hand, ICTs can also increase the number of people reached by the organization (breadth scaling) by accessing new resources, creating synergies and networks, improving organizational efficiency, increasing its visibility, and designing new access channels to beneficiaries. This article analyzes the role of ICT in the depth and breadth scaling of social impact.

La vivienda social como patrimonio urbano: análisis de la patrimonialización de tres Barrios de Promoción Oficial madrileños

Aunque los conjuntos de vivienda social carecen en Europa de un nivel de protección patrimonial comparable a otras áreas urbanas, las negociaciones que surgen a raíz del anuncio de su remodelación o rehabilitación resultan inexplicables si no se supone su aceptación como patrimonio por parte de algunos de los actores implicados. Nos encontraríamos entonces no con un repertorio patrimonial consolidado, sino ante un proceso de patrimonialización, entendido no sólo como el paso de la categoría de no-patrimonio a la de patrimonio mediante la protección jurídica o urbanística, sino también como la construcción del consenso social suficiente en torno la posesión de ciertos valores preexistentes, así como la producción y reproducción social e histórica de estos valores. Ante el incipiente proceso de patrimonialización de determinados Barrios de Promoción Oficial madrileños, la tesis aborda dos cuestiones fundamentales, los mecanismos que conducen a su construcción social e histórica como nuevos elementos patrimoniales, y la evolución y estado actual del conjunto de elementos eventualmente patrimonializables, los Barrios de Promoción Oficial madrileños. De esta forma, propone un modelo teórico del proceso de patrimonialización de los conjuntos de vivienda social, basado en la identificación de discursos, valores, sujetos y etapas, así como de su relación con las características físicas y sociales originales de los barrios y su evolución hasta la actualidad. Para ello, se reconstruye la evolución física, social y de la protección patrimonial de los Barrios de Promoción Oficial madrileños, y se analizan tres procesos concretos de patrimonialización, la participación de la Colonia del Tercio y Terol en la defensa ciudadana de las Colonias Históricas madrileñas (1973-1979), la incorporación de criterios patrimoniales en la rehabilitación integral del Poblado Dirigido de Caño Roto (1991-2004), y la protección patrimonial como obstáculo para la remodelación de la U.V.A. de Hortaleza (2004-2015). ABSTRACT Comparatively speaking, few social housing estates are legally protected as cultural heritage in Europe. However, when a physical intervention is announced, the ensuing negotiation often defies explanation unless one assumes that the estate is regarded as cultural heritage by some of the players involved. Therefore, one should not so much talk of social housing as heritage, but of the process of patrimonialisation, which refers not only to the change of these estates from the status of non-heritage to that of cultural heritage through their legal recognition, but also to the process that leads to the acknowledgment of certain values in these estates, and even the social and cultural shaping of these values. This thesis tackles two main issues: the mechanisms that lead to the social and historical construction of new heritage elements or repertoires, and the evolution and current status of the Barrios de Promoción Oficial in Madrid. It proposes a theoretical model of the process of patrimonialisation of social housing estates, based on the identification of discourses, values, subjects and phases, as well as its relationship with the original physical and social features of these estates and their further evolution up to the present. In order to do so, the changes in the physical and social features of the Barrios de Promoción Oficial and in their heritage protection are reconstructed, and three particular processes are analysed. These are the role of Colonia del Tercio y Terol in the citizens’ movement for the preservation of the Colonias Históricas in Madrid (1973-1979), the incorporation of conservation criteria in the refurbishment of Poblado Dirigido de Caño Roto (1991-2004), and heritage as an obstacle to urban renewal in U.V.A. de Hortaleza (2004-2015).