1,720,983 research outputs found
On the use of boundary gradient for the analysis of MR wrist bones volumes segmentation
No full textImage segmentation partitions a digital image into regions of interest, by taking into account the information content and local properties of homogeneity and topological connectivity. The evaluation of segmentation quality is usually based on supervised ground-truth images, which are provided by experts and used for comparison with segmented images. Indeed, intra-rater and inter-rater reliability affect the accuracy of such reference information. In addition to subjectivity, the skill of the experts and their knowledge could lead to bias. To achieve an objective performance measure, an automatic method for unsupervised evaluation of volume segmentation is proposed, which aims at finding a repetitive and user-independent evaluation of segmented results. The proposed approach leverages on the integration of volume- and boundary-based analysis. The quality of the segmentation is estimated on the basis of gradient properties, measured in the volume and focused on the voxels of the border. The segmentation is evaluated through a simple fuzzy index based on the resulting gradient. The experimental phase is conducted on a set of Magnetic Resonance volumes of the wrist district
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A solution for the remote care of frail elderly individuals via exergames
No full textInternet of Things (IoT) solutions are a concrete answer to many needs in the healthcare framework since they enable remote support for patients and foster continuity of care. Currently, frail elderly people are among end users who most need and would benefit from IoT solutions from both a social and a healthcare point of view. Indeed, IoT technologies can provide a set of services to monitor the healthcare of the elderly or support them in order to reduce the risk of injuries, and preserve their motor and cognitive abilities. The main feature of IoT solutions for the elderly population is ease of use. Indeed, to fully exploit the potential of an IoT solution, patients should be able to autonomously deal with it. The remote-monitoring validation engineering system (ReMoVES) described here is an IoT solution that caters to the specific needs of frail elderly individuals. Its architecture was designed for use at rehabilitation centers and at patients’ homes. The system is user-friendly and comfortably usable by persons who are not familiar with technology. In addition, exergames enhance patient engagement in order to curb therapy abandonment. Along with the technical presentation of the solution, a real-life scenario application is described referring to sit-to-stand activity
Early maternal separation has mild effects on autonomic neural regulation of cardiac activity and stress responsivity in adult rats
No full textVariations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Application of SVM for Evaluation of Training Performance in Exergames for Motion Rehabilitation
No full textNowadays, the tools for remote monitoring and training analysis are a matter of deep interest in the field of telerehabilitation. In this study we present a method for the automated evaluation of performance in exergames for motor rehabilitation that can be performed by the patient, even autonomously in a domestic environment, with Microsoft Kinect and Leap Motion. The proposed method is based on a machine learning approach utilizing the Support Vector Machine (SVM). It uses a radial basis function kernel that deals with a two-class classification problem. The performance outcomes for one of the 10 exergames developed by our team are provided as a case study. After a crucial phase consisting of hyperparameter optimization, the SVM algorithm proved to be able to distinguish the “Good” class from the “Other” class with an accuracy of 0.80
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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