Search results for "Multiple time dimensions"
showing 10 items of 15 documents
PolyACO+: a multi-level polygon-based ant colony optimisation classifier
2017
Ant Colony Optimisation for classification has mostly been limited to rule based approaches where artificial ants walk on datasets in order to extract rules from the trends in the data, and hybrid approaches which attempt to boost the performance of existing classifiers through guided feature reductions or parameter optimisations. A recent notable example that is distinct from the mainstream approaches is PolyACO, which is a proof of concept polygon-based classifier that resorts to ant colony optimisation as a technique to create multi-edged polygons as class separators. Despite possessing some promise, PolyACO has some significant limitations, most notably, the fact of supporting classific…
Exploring the reciprocal modulation of time and space in dancers and non-dancers.
2014
We explored whether time and space representations modulate each other in subjects that are trained to integrate time and space dimensions, i.e., professional dancers. A group of dancers, and one of non-dancers, underwent two different tasks employing identical stimuli. A first static central line could last one of three possible durations and could have one of three possible lengths. A second growing line appeared from the left or right of the screen and grew up toward the opposite direction at constant velocity. In the Spatial task, subjects encoded the length of the static line and stopped the growing line when it had reached half the length of the static one, regardless of time travel. …
Spanish Version of the Time Management Behavior Questionnaire for University Students
2012
The main objective of the study is to analyze the psychometric properties and predictive capacity on academic performance in university contexts of a Spanish adaptation of the Time Management Behavior Questionnaire. The scale was applied to 462 students newly admitted at the Universitat de València in the 2006-2007 school year. The analyses performed made it possible to reproduce the factorial structure of the original version of the questionnaire with slight modifications in the ascription of various ítems. The underlying factorial structure includes four interrelated dimensions (Establishing objectives and priorities, Time management tools, Perception of time control and Preference for di…
Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field
2018
Data Mining in general is the act of extracting interesting patterns and discovering non-trivial knowledge from a large amount of data. Medical data mining can be used to understand the events happened in the past, i.e. studying a patients vital signs to understand his complications and discover why he has died, or to predict the future by analyzing the events that had happened. In this chapter we are presenting an overview on studies that use data mining to predict heart failure and heart diseases classes. We will also focus on one of the trendiest data-mining field, namely the Sequential Mining, which is a very promising paradigm. Due to its important results in many fields, this chapter …
The Playing Brain. The Impact of Video Games on Cognition and Behavior in Pediatric Age at the Time of Lockdown: A Systematic Review
2021
A growing number of children and adolescents play video games (VGs) for long amounts of time. The current outbreak of the Coronavirus pandemic has significantly reduced outdoor activities and direct interpersonal relationships. Therefore, a higher use of VGs can become the response to stress and fear of illness. VGs and their practical, academic, vocational and educational implications have become an issue of increasing interest for scholars, parents, teachers, pediatricians and youth public policy makers. The current systematic review aims to identify, in recent literature, the most relevant problems of the complex issue of playing VGs in children and adolescents in order to provide sugges…
A wavelet analysis of the ripple effect in UK regional housing markets
2021
Abstract The paper aims at gaining insights on the spatio-temporal mechanism of house price spillovers, also known as ripple effect, among 12 UK regional housing markets, over the period 1973–2018. From a policy perspective, it is essential to discriminate if the effects of a shock decay more slowly along the geographical dimension as compared to the decay along the time dimension. We enter the debate in a novel manner by using some wavelet analysis tools (wavelet coherence and phase differences amongst others) which reveal the spectral characteristics of a series and show how different periodic components of housing returns evolve over time. Results are interesting. Spillovers from London …
Exploring the generative power of performance measurement systems design
2019
Abstract Prior studies recognise the enabling power of incompleteness in the design of Performance Measurement Systems (PMS). We add to these studies by exploring the ‘time dimension’ of incompleteness as a way to delve into the generative power of design. To this aim, we rely upon the experience of a knowledge-intensive organization during the design of a new PMS. While knowledge complexity engaged the participants within an open-ended design process, incomplete measures were associated with unfolding memories of the past and confident beliefs in future solutions, which generated effects through the knowledge gaps that they entailed, as well as through the projections in the past and in th…
Mutual learning: exploring collaboration, knowledge and roles in the development of recovery-oriented services. A hermeneutic-phenomenological study
2021
ABSTRACT Purpose The concept of recovery is commonly described as multifaceted and contested in the field of mental health and substance abuse. The aim of this study is to explore how understandings of recovery and recovery orientation of services are developed through daily practices and collaboration between service users and professionals. Methods Eight pairs of participants were interviewed together, in accordance with the dyadic interview method. The dyads/pairs consisted of service users and professional helpers. A collaborative hermeneutic-phenomenological analysis was used to analyse data. Results Data were analysed into three overarching and entangled themes, exploring how recovery…
Hibridisme i autoreferència en el fantàstic d'Espiral, de Manuel Baixauli
2018
The aim of this paper is to define and to analyse the fantastic universe of short stories by Manuel Baixauli published in the volume Espiral (2010), an original and highly significant example of modern fantastic literature that has abolished the real and imaginary borders, that is to say a significant example of fantastic literature conceived as a language phenomenon. The conception of reality integrates and naturalises the supernatural and the irrational in a vision that joins multiple dimensions and perspectives of reality. The self-referential component is also of essential importance in this fantastic, which assimilates and exhibits themes and motifs of inherited traditions in a fully c…
Part-time special education predicts students' reading self-concept development
2018
Abstract The academic self-concept changes from childhood to early adulthood in relation to experiences of capability in different school tasks and comparison with peers. Students in special education have a lower academic self-concept than their peers do, but it is unclear how part-time special education affects self-concept development. In Finnish schools, part-time special education is learning support that is usually provided for 1–2 h/week in small groups. The main aim of this study was exploring the effects of participation in part-time special education and gender on the level and change in three academic self-concept domains (General School, Mathematics and Reading) between the ages…