Antecedentes. El trastorno por déficit de atención del adulto (TDA-A), la ansiedad y depresión se encuentran entre los problemas salud mental más importantes en todo el mundo. Método. En este trabajo analizaron síntomas autorreportados las tres condiciones clínicas una muestra estudiantes universitarios. Procedimiento. Se efectuó un tamizaje con 575 participantes, identificándose 110 (70 mujere...

The intersection of pervasive technology and verbal communication has resulted in the creation Automatic Speech Recognition Systems (ASRs), which automate conversion spontaneous speech into texts. ASR enables human-computer interactions through is rapidly integrated our daily lives. However, research studies on current technologies have reported unfulfilled social inclusivity accentuated biases...

The objective of this study was to investigate the recent incidence and mortality trends for breast cancer in Mexican females. Data between 2000 and 2010 from the Department of Epidemiology of the Ministry of Health, and International Agency for Research on Cancer (IARC) were analyzed. Age-standardized rates (ASRs) and annual percent changes (APCs) were calculated. The absolute incidence and mo...

Task Management (TM) refers to the function in which the human operator manages his/her available sensory and mental resources in a dynamic, complex, safety critical environment in order to accomplish the multiple tasks competing for a limited quantity of attention. There is reason to believe that the level of automation on the commercial aircraft flight deck may affect TM. Two samples of 210 A...

Continuous spatial queries retrieve a set of time-varying objects continuously during a given period of time. However, monitoring moving objects to maintain the correctness of the query results often incurs frequent location updates from these moving objects. To address this problem, existing solutions propose lazy updates, but such techniques generally avoid only a small fraction of all unnece...

In this article we describe the approach we applied for the JRS 2012 Data Mining Competition. The task of the competition was the multi-labelled classification of biomedical documents. Our method is motivated by recent work in the machine learning and computer vision communities that highlights the usefulness of feature learning for classification tasks. Our approach uses orthogonal matching pe...

A lexicon containing explicit mappings between words and pronunciations is an integral part of most automatic speech recognizers (ASRs). While many ASR components can be trained or adapted using data, the lexicon is one of the few that typically remains static until experts make manual changes. This work takes a step towards alleviating the need for manual intervention by integrating a popular ...

This paper describes using a mobile robot, equipped with some sonar sensors and an odometer, to test navigation through the use of a cognitive map. The robot explores an office environment, computes a cognitive map, which is a network of ASRs [33, 34], and attempts to find its way home. Ten trials were conducted and the robot found its way home each time. From four random positions in two trial...

Phonemic or phonetic sub-word units are the most commonly used atomic elements to represent speech signals in modern ASRs. However they are not the optimal choice due to several reasons such as: large amount of effort required to handcraft a pronunciation dictionary, pronunciation variations, human mistakes and under-resourced dialects and languages. Here, we propose a data-driven pronunciation...

Currently, although prevalent location privacy methods based on k-anonymizing spatial regions (K-ASRs) can achieve privacy protection by sacrificing the quality of service (QoS), users cannot obtain accurate query results. To address this problem, it proposes a new location privacy-preserving k-anonymity method based on the credible chain with two major features. First, the optimal k value for ...