Polysemy and Co-predication

Many word forms in natural language are polysemous, but only some of them allow for co-predication, that is, they allow for simultaneous predications selecting for two different meanings or senses of a nominal in a sentence. In this paper, we try to explain (i) why some groups of senses allow co-predication and others do not, and (ii) how we interpret co-predicative sentences. The paper focuses on those groups of senses that allow co-predication in an especially robust and stable way. We argue, using these cases, but focusing particularly on the multiply polysemous word ‘school’, that the senses involved in co-predication form especially robust activation packages, which allow hearers and readers to access all the different senses in interpretation

Efectos contradictorios del Tai Chi Chuan sobre la osteoartrosis de rodilla

Discusión sobre los efectos del Tai Chi Chuan sobre la osteoartrosis de rodill

Dynamic object detection fusing LIDAR data and images

We present a method to segment dynamic objects on point clouds using images and 3D laser data. Per-pixel background classes are adapted online as Gaussian Mixtures independently for each sensor. The learned classes are fused labeling pixels/voxels that belong to either the background, or the dynamic objects We pay special attention in the calibration and synchronization modules to reach accuracy in registration and data association. We show results of people segmentation in indoor scenes using a Velodyne sensor at a high frame-rate .Postprint (author’s final draft

A review of Tai Chi Chuan and parameters related to balance

Introduction: Previous systematic reviews of the literature on the effects of Tai Chi Chuan(TCC)on balance have focussed either on determining the quality of the research design or have provided just a general description of the studies.To the best of our knowledge none have approached this topic by conducting an analysis from the point of view of the factors which affect balance.It is important to present this perspective as it will help to guide future research in this field. Methodology: Seven electronic data bases were searched for publications dated between 1996 and 2012.The inclusion criteria were;randomized controlled trials(RCT)written in English. Results: From a total of 397 articles identified, 27 randomized controlled trials were eligible for the analysis. Conclusions: Studies reviewed appear to confirm that TCC improves static and dynamic balance and in the functional factors which affect balance in persons of over 55 years of age.Only one study was identified on people affected with problems with the vestibular system. No studies on the influence of TCC on improvement in balance in individuals suffering from deteriorated brain function were identified

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Beneficios del Tai Chi Chuan en la osteoartritis, el equilibrio y la calidad de vida

Efectos del Tai Chi sobre la calidad de vid

Quantitative indices of student social media engagement in tertiary education: a systematic review and a taxonomy

Recent studies have evaluated the use of social media as learning aids in tertiary education. Emerging research in this area has focused primarily on non-quantitative approaches to student social media engagement. However, quantitative engagement outcomes may be extracted from student posts, comments, likes, and views. The goal of the present review was to provide a research-informed taxonomy of quantitative and behavior-based metrics of student social media engagement. We selected 75 empirical studies comprising a pooled sample of 11,605 tertiary education students. Included studies used social media for educational purposes and reported student social media engagement outcomes (source databases: PsycInfo and ERIC). We used independent raters and stringent interrater agreement and data extraction processes to mitigate bias during the screening of references. Over half of the studies (52%, n =39) utilized ad hoc interviews and surveys to estimate student social media engagement, whereas thirty-three studies (44%) used some form of quantitative analysis of engagement. Based on this literature, we present a selection of countbased, time-based, and text-analysis metrics. The proposed taxonomy of engagement metrics resulting provides the methodological basis for the analysis of social media behavior in educational settings, particularly, for human operant and behavioral education studies. Implications for future research are discussedFunding Open Access funding enabled and organized by Council of Australian University Libraries and its member The University of Auckland. The frst author received a one-year research contract funded through a Ramon y Cajal Fellowship (Ministerio de Ciencia e Innovación, Spain) awarded to second author (reference no. RYC-2016-20706). This work was supported by a research contract between ABA España (Madrid, Spain) and The University of Auckland (Auckland, New Zealand) (project no. CON02739

Estimation of camera calibration uncertainty using LIDAR data

This paper presents an analysis of uncertainty in the calibration of a network of cameras. A global 3D scene model, acquired with a LIDAR scanner, allows calibrating cameras with non overlapping ¿elds of view by means of the DLT-Lines algorithm. Once the projection matrix is computed for each camera, error sources are propagated to compute estimates of each camera position uncertainty. We validate the consistency of the uncertainty analysis with Monte-Carlo simulations, and apply the technique in a real camera network. This allows to evaluate the accuracy of DLT-Lines in real settings.Peer ReviewedPostprint (published version