Desarrollo de una app para el diagnóstico diferencial de pacientes con Parkinson y temblor esencial

Este trabajo tiene cómo objetivo desarrollar una aplicación móvil para ayudar en el diagnóstico diferencial entre pacientes con Parkinson y pacientes con Temblor Esencial Estos son los síndromes de temblor más comunes en todo el mundo Para lograr esto, se desarrollaron modelos de Machine Learning a partir de diferentes características cinemáticas de las señales de la velocidad angular del temblor de mano de sujetos sanos y pacientes con temblor usando el giroscopio de un teléfono móvil Los modelos desarrollados se implementaron en un servidor web y una aplicación móvil para hacer el registro, el procesamiento y la clasificación de las señales de velocidad angular El modelo implementado para diferenciar sujetos con temblor patológico de sujetos con temblor fisiológicos mostró un 97 06 de sensibilidad y un 100 de especificidad Por otro lado, el modelo implementado para diferenciar entre los dos síndromes de temblor mostró un 95 00 de sensibilidad y un 100 de especificidad Con esto, se presume que esta aplicación le servirá de apoyo a los médicos especialistas que tratan patologías y trastornos del movimiento a realizar diagnósticos tempranosPostprint (published version

Electrorotation of semiconducting microspheres

We study experimentally the electrorotation (ROT) of semiconducting microspheres. ZnO microspheres obtained by a hydrothermal synthesis method are dispersed in KCl aqueous solutions and subjected to rotating electric fields. Two ROT peaks are found in experiments: a counterfield peak and a cofield peak at somewhat higher frequencies. These observations are in accordance with recent theoretical predictions for semiconducting spheres. The counterfield rotation is originated by the charging of the electrical double layer at the particle-electrolyte interface, while the cofield rotation is due to the Maxwell-Wagner relaxation. Additionally, we also found that some microspheres in the sample behaved differently and only showed counterfield rotation. We show that the behavior of these particles can be described by the so-called shell model. The microstructure of the microspheres is analyzed with electron microscope techniques and related to the ROT measurements.Spanish Government Ministry MICINN under Contract No. PGC2018-099217-B-I00Junta de Andalucía Contract No. PEJUS-

Improvements in meta-heuristic algorithms for minimum cost design of reinforced concrete rectangular sections under compression and biaxial bending

A numerical procedure is proposed in this paper for achieving the minimum cost design of reinforced concrete rectangular sections under compression and biaxial bending by using biologically-inspired meta-heuristic optimization algorithms. The problem formulation includes the costs of concrete, reinforcement and formwork, obtaining the detailed optimum design in which the section dimensions and the reinforcement correspond to values used in practice. The formulation has been simplified in order to reduce the computational cost while ensuring the rigor necessary to achieve safe designs. The numerical procedure includes the possibility of using high-strength concrete and several design constraints, such as mínimum reinforcement and limiting the neutral axis depth. Two numerical examples are presented, drawing comparisons between the results obtained by ACI318 and EC2 standards

Software prefetching for software pipelined loops

The paper investigates the interaction between software pipelining and different software prefetching techniques for VLIW machines. It is shown that processor stalls due to memory dependencies have a great impact into execution time. A novel heuristic is proposed and it is show to outperform previous proposals.Peer ReviewedPostprint (published version

MeshPipe: a Python-based tool for easy automation and demonstration of geometry processing pipelines

The popularization of inexpensive 3D scanning, 3D printing, 3D publishing and AR/VR display technologies have renewed the interest in open-source tools providing the geometry processing algorithms required to clean, repair, enrich, optimize and modify point-based and polygonal-based models. Nowadays, there is a large variety of such open-source tools whose user community includes 3D experts but also 3D enthusiasts and professionals from other disciplines. In this paper we present a Python-based tool that addresses two major caveats of current solutions: the lack of easy-to-use methods for the creation of custom geometry processing pipelines (automation), and the lack of a suitable visual interface for quickly testing, comparing and sharing different pipelines, supporting rapid iterations and providing dynamic feedback to the user (demonstration). From the user's point of view, the tool is a 3D viewer with an integrated Python console from which internal or external Python code can be executed. We provide an easy-to-use but powerful API for element selection and geometry processing. Key algorithms are provided by a high-level C library exposed to the viewer via Python-C bindings. Unlike competing open-source alternatives, our tool has a minimal learning curve and typical pipelines can be written in a few lines of Python code.Peer ReviewedPostprint (published version