Search results for "55"
showing 10 items of 2320 documents
Internal Communication System Analysis in a Small Company
2017
[EN] The aim of this paper is to analyze the internal communication system in a small company. We used structured interviews in all hierarchical levels to compare the perceptive differences and the way of using the communication tools. A total of five one-hour interview sessions were made to evaluate the involved variables in every communicative tool appointed byor-ganization members. The results showed some contradictions between the respondentsand a low horizontal and descending communication caused by the limited use of these commu-nication tools. Finally, suggestions for improvements to prevent problems and enhance their positive effects were informed.
INFLUENCIA DE LA TEORÍA DE IMPRESSION MANAGEMENT EN LOS COMPORTAMIENTOS QUE AFECTAN A LA RELACIÓN ENTRE PERSONAS Y ORGANIZACIONES / The influence of …
2013
El proceso por el que las personas intentan, de modo más o menos consciente controlar las impresiones que otros se forman de ellos, impression management (IM), juega un papel importante en la relación entre las personas y las organizaciones. Este artículo revisa la literatura existente sobre el concepto, de forma multidisciplinar y sistematizada, analizando y aunando los distintos enfoques desde los que ha sido estudiado: comportamiento social; comportamiento organizativo y los recursos humanos; y comportamiento ético. Ofrece una definición integral y propia teniendo en cuenta las tres dimensiones del comportamiento individual y sus implicaciones para la organización de empresas. Trata fina…
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…
The factorization method for electrical impedance tomography data from a new planar device.
2006
We present numerical results for two reconstruction methods for a new planar electrical impedance tomography device. This prototype allows noninvasive medical imaging techniques if only one side of a patient is accessible for electric measurements. The two reconstruction methods have different properties: one is a linearization-type method that allows quantitative reconstructions; the other one, that is, the factorization method, is a qualitative one, and is designed to detect anomalies within the body.
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 …
Aprendiendo con todos los sentidos en la clase EFE
2016
En esta experiencia práctica queremos compartir nuestra propuesta para trabajar diferentes aspectos del mundo de los negocios desde un enfoque holístico que apele a la emoción y al uso de los sentidos y que respete los diferentes estilos de aprendizaje. Nuestro objetivo más importante es ofrecer al estudiantado la oportunidad de vivir, practicar y procesar nuevos conocimientos relacionándolos con sus experiencias y conocimientos previos. Por otra parte, aspiramos también a que nuestros estudiantes reflexionen en este proceso sobre su propio aprendizaje y la forma en la que les resulta más fácil acceder a la nueva información y hacerla memorable. Nuestra experiencia educativa, que tiene por…
Over-qualification in Young Spanish Workers: A Decade of Research at IDOCAL
2020
Over-Qualification is a common phenomenon in industrialized societies, and it has received increasing interest from social scientists in recent years. The main purpose of this paper is to summarize the main findings obtained from a decade of research on Over-qualification and related topics at IDOCAL (Research Institute on HR Psychology, Organizational Development and Quality of Working Life; University of Valencia). Drawing on extensive surveys of young people entering the labour market and graduates of the University of Valencia, our research team developed a number of contributions on over-qualification and education-related person-job fit. This paper presents an overview of these findin…