Search results for "Process"
showing 10 items of 22310 documents
Testing audiovisual comprehension tasks with questions embedded in videos as subtitles: a pilot multimethod study
2017
<p>Listening, watching, reading and writing simultaneously in a foreign language is very complex. This paper is part of wider research which explores the use of audiovisual comprehension questions imprinted in the video image in the form of subtitles and synchronized with the relevant fragments for the purpose of language learning and testing. Compared to viewings where the comprehension activity is available only on paper, this innovative methodology may provide some benefits. Among them, it could reduce the conflict in visual attention between watching the video and completing the task, by spatially and temporally approximating the questions and the relevant fragments. The technique…
Azorín y la “historia menuda” de España: una lectura de Los pueblos (1905)
2015
El propósito de este trabajo es proponer una lectura de Los pueblos (1905) desde el punto de vista del historiador; concretamente, desde la perspectiva de dos corrientes historiográficas —la microhistoria y la history from below— surgidas en Europa durante los años setenta con el objetivo fundamental de recuperar al individuo anónimo como sujeto histórico, prestando atención a las “clases subalternas” de la sociedad. Mediante el análisis de dicha obra, mi intención es demostrar que la concepción que tiene Azorín de la historia de España responde a una idea fundamental: la necesidad de conceder la atención que merecen a los pequeños hechos y sucesos de la vida cotidiana protagonizados por in…
Measuring Aksak Rhythm and Synchronization in Transylvanian Village Music by Using Motion Capture
2015
<p>Techniques based on motion capture can be useful in <span><span style="font-size: x-small;">analyzing a wide range of musical styles and practices</span></span>: in this case, Transylvanian village music. We focused on a repertoire known as “Gypsy songs of sorrow”, played by professional Gypsy musicians during parties and celebrations of their own community. Two parameters were the object of study: rhythmic duration, and synchronization between musicians (a violinist and a viola player). Results show that rhythm is a local variant of <em>aksak</em> and is based on two duration units (S=short, L=long) which respect the formula 2:3 &lt; S:L &am…
Music May Reduce Loneliness and Act as Social Surrogate for a Friend: Evidence from an Experimental Listening Study
2020
After losing a close other, individuals usually confide in an empathic friend to receive comfort and they seem to have a heightened desire for mood-congruent, consoling music. Hence, it has been proposed that affect-congruent music acts as a social surrogate for an empathic friend. Thus, we hypothesized that listening to comforting music, as a response to a social loss experience, provides a sense of empathic company as indicated by reduced loneliness and heightened empathy. We further predicted that distracting music would have a stronger impact on the listeners’ mood in comparison to comforting pieces. To test these assumptions, an experiment with two factors was designed: (1) Sadness wa…
Towards a framework for New Service Development Practices
2017
Different frameworks for New Service Development (NSD) practices have been suggested by prior conceptual research. We have assessed three frameworks frequently referred to in extant research, and exposed how these three cover different dimensions of NSD practices. By exploring the practices of NSD empirically, this paper continues the ongoing discussion of what the relevant aggregated dimensions of NSD practices are. The detailed practices identified by interviewing 25 employees, all with key roles in relation to NSD in five large Scandinavian service firms, about their NSD practices, are clustered into three aggregated overarching dimensions of NSD practices: 1) identifying needs, 2) assur…
High Performance 3D PET Reconstruction Using Spherical Basis Functions on a Polar Grid
2011
Statistical iterative methods are a widely used method of image reconstruction in emission tomography. Traditionally, the image space is modelled as a combination of cubic voxels as a matter of simplicity. After reconstruction, images are routinely filtered to reduce statistical noise at the cost of spatial resolution degradation. An alternative to produce lower noise during reconstruction is to model the image space with spherical basis functions. These basis functions overlap in space producing a significantly large number of non-zero elements in the system response matrix (SRM) to store, which additionally leads to long reconstruction times. These two problems are partly overcome by expl…
Skin Parameter Map Retrieval from a Dedicated Multispectral Imaging System Applied to Dermatology/Cosmetology
2013
International audience; In vivo quantitative assessment of skin lesions is an important step in the evaluation of skin condition. An objective measurement device can help as a valuable tool for skin analysis. We propose an explorative new multispectral camera specifically developed for dermatology/cosmetology applications. The multispectral imaging system provides images of skin reflectance at different wavebands covering visible and near-infrared domain. It is coupled with a neural network-based algorithm for the reconstruction of reflectance cube of cutaneous data. This cube contains only skin optical reflectance spectrum in each pixel of the bidimensional spatial information. The reflect…
Image Segmentation Techniques for Healthcare Systems
2019
The present special issue of the Journal of Healthcare Engineering collects articles written by researchers scattered around the world who belong to the academic and industrial environments. The papers of this special issue have been selected by a rigorous peer-reviewing process with the support of at least two reviewers per paper, along with the opinion written in the final decision by a component of the editorial staff. Different methods on biomedical image segmentation dedicated to healthcare systems have been developed regarding, for example, the fields of machine learning, deformable models, fuzzy models, and so on. Such methods have been applied on different biomedical image modalitie…
Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis.
2020
AbstractBackgroundNonnegative matrix factorization (NMF) has been successfully used for electroencephalography (EEG) spectral analysis. Since NMF was proposed in the 1990s, many adaptive algorithms have been developed. However, the performance of their use in EEG data analysis has not been fully compared. Here, we provide a comparison of four NMF algorithms in terms of accuracy of estimation, stability (repeatability of the results) and time complexity of algorithms with simulated data. In the practical application of NMF algorithms, stability plays an important role, which was an emphasis in the comparison. A Hierarchical clustering algorithm was implemented to evaluate the stability of NM…
A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images.
2020
Background: Deep learning methods have become popular for their high-performance rate in the classification and detection of events in computer vision tasks. Transfer learning paradigm is widely adopted to apply pretrained convolutional neural network (CNN) on medical domains overcoming the problem of the scarcity of public datasets. Some investigations to assess transfer learning knowledge inference abilities in the context of mammogram screening and possible combinations with unsupervised techniques are in progress. Methods: We propose a novel technique for the detection of suspicious regions in mammograms that consist of the combination of two approaches based on scale invariant feature …