Extending the DSE: LOD support and TEI/IIIF integration in EVT

Current digital scholarly editions (DSEs) have the opportunity of evolving to dynamic objects interacting with other Internet-based resources thanks to open frameworks such as IIIF and LOD. This paper showcases and discusses two new functionalities of EVT (Edition Visualization Technology), version 2: one improving the management of named entities (f.i. personal names) through the use of LOD resources such as FOAF and DBpedia; the other, providing integration of the published text with digital images of the textual primary sources accessed from online repositories (e.g. e-codices or digital libraries such as the Vaticana or the Ambrosiana) via the IIIF protocol

Frequency shifts in natural vibrations in pantographic metamaterials under biaxial tests

In this paper a 2D continuum model, thought as the homogenized limit of a microstructured pantographic sheet, is studied. The microstructure is characterized by two families of parallel fibers, whose deformation measures account for bending, elongation and relative rotation of the fibers. The deformation energy density of the homogenized model depends on both first and second gradients of the displacement. Modal analysis is performed in order to assess the peculiarities of the dynamic behavior of higher gradient models, and in particular the difference, with respect to classical laminae, in the dependence of the eigenfrequencies on the stiffness

Protective role of adiponectin on endothelial dysfunction induced by AGEs: A clinical and experimental approach

Objective: Obesity is characterized by low levels of adiponectin, an adipocytes derived hormone, and by an inflammatory component. Endothelial dysfunction is often found in overweight/obesity, diabetes, and atherosclerosis. Advanced glycation end products (AGEs) induce endothelial dysfunction and are linked to diabetes and increased atherogenicity and inflammation. The aim of the study was to investigate the possible link between adiponectin and N(epsilon)-(carboxymethyl) lysine (CML), the predominant adduct of circulating AGEs in overweight patients, and, in an in vitro model, to test the hypothesis that adiponectin acts as modulator of endothelial dysfunction, induced by AGEs. Results: In 108 overweight patients, plasma levels of CML correlated inversely with adiponectin levels. Preincubation of human vein endothelial cells (HUVECs) with physiological concentrations of adiponectin, followed by stimulation with AGEs, reduced vascular adhesion molecule-1 (VCAM-1) and E-selectin expression, as assessed by surface enzyme immunoassay. Conclusions: Taken together, these findings demonstrate an inverse correlation between CML and adiponectin levels in overweight patients and a protective role of adiponectin on endothelial dysfunction induced by AGEs, suggesting its key role in the treatment of the vascular complications of obesity/metabolic syndrome

Magnetoencephalography in Stroke Recovery and Rehabilitation

Magnetoencephalography (MEG) is a non-invasive neurophysiological technique used to study the cerebral cortex. Currently, MEG is mainly used clinically to localize epileptic foci and eloquent brain areas in order to avoid damage during neurosurgery. MEG might, however, also be of help in monitoring stroke recovery and rehabilitation. This review focuses on experimental use of MEG in neurorehabilitation. MEG has been employed to detect early modifications in neuroplasticity and connectivity, but there is insufficient evidence as to whether these methods are sensitive enough to be used as a clinical diagnostic test. MEG has also been exploited to derive the relationship between brain activity and movement kinematics for a motor-based brain-computer interface. In the current body of experimental research, MEG appears to be a powerful tool in neurorehabilitation, but it is necessary to produce new data to confirm its clinical utility

Protective role of adiponectin on endothelial dysfunction induced by AGEs: a clinical and experimental approach

OBJECTIVE: Obesity is characterized by low levels of adiponectin, an adipocytes derived hormone, and by an inflammatory component. Endothelial dysfunction is often found in overweight/obesity, diabetes, and atherosclerosis. Advanced glycation end products (AGEs) induce endothelial dysfunction and are linked to diabetes and increased atherogenicity and inflammation. The aim of the study was to investigate the possible link between adiponectin and N(epsilon)-(carboxymethyl) lysine (CML), the predominant adduct of circulating AGEs in overweight patients, and, in an in vitro model, to test the hypothesis that adiponectin acts as modulator of endothelial dysfunction, induced by AGEs. RESULTS: In 108 overweight patients, plasma levels of CML correlated inversely with adiponectin levels. Pre-incubation of human vein endothelial cells (HUVECs) with physiological concentrations of adiponectin, followed by stimulation with AGEs, reduced vascular adhesion molecule-1 (VCAM-1) and E-selectin expression, as assessed by surface enzyme immunoassay. CONCLUSIONS: Taken together, these findings demonstrate an inverse correlation between CML and adiponectin levels in overweight patients and a protective role of adiponectin on endothelial dysfunction induced by AGEs, suggesting its key role in the treatment of the vascular complications of obesity/metabolic syndrom

Mejora de la predicción en tareas de aprendizaje automático supervisado : imputación de valores perdidos

46 páginas.Trabajo de Máster en Economía, Finanzas y Computación. Tutor: Dr. D. Antonio J. Tallón Ballesteros. En el presente trabajo, se analiza y estudia la problemática recurrente que suelen presentar las bases de datos: los missing data o valores perdidos. Se evalúan seis métodos de imputación tras su aplicación a conjuntos datos de regresión en presencia de valores ausentes. Además, se determinan los porcentajes de mejora en la predicción según RMSE (raíz del error cuadrático medio) y R2 para tres algoritmos diferentes en ocho bases de datos, siendo el objetivo central del mismo determinar si existe un método de imputación con mejor rendimiento para todos los casos donde existan valores perdidos, o por el contrario, resulta conveniente adoptar distintos procedimientos de imputación de acuerdo al método de regresión aplicado y a la base de datos analizada.In this work, the recurring problems which databases usually present are analyzed and studied: missing data or missing values. Six imputation methods are assessed after its application to regression data sets are evaluated in the presence of missing values. In addition, the improvement percentages in the prediction according to Root Mean Squared Error (RMSE) and R2 are determined for three different algorithms in eight databases, being the main goal to determine where there is an ideal imputation method with the best performance for all cases where there are missing values, or on the contrary, it is convenient to adopt different imputation procedures according to the applied regression method and the analyzed database