Hermenéutica de la recepción piadosa en el Blanquerna de Ramon Llull

Abstract not availabl

Segregation-induced grain boundary electrical potential in ionic oxide materials: A first principles model

A first principles continuum analytical model for cationic segregation to the grain boundaries in complex ceramic oxides is presented. The model permits one to determine the electric charge density and the segregation-induced electric potential profiles through the grain and can be extrapolated to the range of nanostructured grain sizes. The theoretical predictions are compared with existing data for yttria-stabilized tetragonal zirconia polycrystals. The implications for physical properties (mainly high temperature plasticity and hardening behaviour) are then discussed.Gobierno de España MAT2009-14351-C02-01, MAT2009-14351-C02-0

Is Short-Term Heart Rate Variability Good Enough to Predict Vascular Events in Hypertensive Patients?

[EN] Vascular events are the main cause of premature death and disability in the developed countries, where there is great interest in the development of computational tools for their early detection. A very relevant variable for their study is the heart rate, that can be analyzed through heart rate variability (HRV). Furthermore, high blood pressure is an important risk factor for most cardiovascular diseases. In fact, small reductions in blood pressure are known to markedly reduce cardiovascular morbidity and mortality. This study evaluates the predictive value of short-term HRV (STHRV) by developing models based on data mining algorithms to stratify the risk of vascular events from hypertensive patients. For this specific framework, the performance of various machine learning models (Random Forest, Support Vector Machines, Gaussian Naive Bayes, K-N Nearest Neighbours and Logistic regression), trained with different time lengths of 5, 30 and 60 minutes of HRV features during sleep stage was compared. The analyzed HRV parameters were associated to time, frequency and nonlinear features. A total of 139 Holter recordings from hypertensive patients of whom 17 developed a vascular event were analyzed. Results indicated that classification models developed using STHRV, with only 5 minutes length, provided similar or even better results than those developed with longer time series. Furthermore, the STHRV models provided a higher sensitivity and a slightly higher F1 score. The best one, based on Support Vector Machines, yielded 88.2% sensitivity and 75% F1 score. Thus, this research suggests the feasibility of STHRV analysis for risk stratification of hypertensive patients to anticipate serious vascular events.Research supported by grants DPI2017¿83952¿C3 from MINECO/AEI/FEDER UE, SBPLY/17/180501/000411 from JCCLM and AICO/2021/286 from GVA.Tornero, R.; Fácila, L.; Bertomeu-González, V.; Zangróniz, R.; Alcaraz, R.; Rieta, JJ. (2021). Is Short-Term Heart Rate Variability Good Enough to Predict Vascular Events in Hypertensive Patients?. IEEE. 1-4. https://doi.org/10.1109/EHB52898.2021.96576591

Pyroclasts of the first phases of the explosive-effusive PCCVC volcanic eruption: physicochemical analysis

The morphology, texture, grain size and other physicochemical characteristics of pyroclastic material from the first phases of the Puyehue-Cordon Caulle volcanic complex (PCCVC) eruption, (Southern Andes, Chile), can be associated to the model recently reported for the magma storage and its ascent conditions. The eruption started June 4th 2011, and the studied volcanic material corresponds to that collected in Argentine territory at different distances from the source, between 4 and 12 June 2011. The explosive-effusive volcanic process of the first days occurred with the simultaneous emplacement of lava flows and the venting of pyroclastic material, ejecting two well differentiated types of particles. The more abundant was constituted by rhyolitic and light color pumice fragments, characterized by a typical vesicular texture, easy fragmentation and absence of occluded crystalline phases. Particles found in minor proportion were dark color, different in shape and texture and rich in Fe and Ti. They seemed to be more effective for the interaction with emitted gases in the upper part of the column, for this reason, they appeared partially covered by condensation products. The ascent conditions of the magma affected its rheological behavior through variations in the degassing, viscosity and fragmentation. On the other hand, distance to the source, depositional time, volcanic evolution and environmental conditions are factors that affect the chemical composition of collected ash. So, the SiO2/FeO ratio not only increases with the distance but also with the deposition time and volcanic activity. The work was done with the aid of several techniques such as a laser-sediment analyzer, X-ray diffraction (XRD), chemical analysis (bulk and surface), SEM microscopy and Raman “microprobe” spectroscopy. On the other hand, the physicochemical behavior of the pyroclastic material allows us to suggest eventual applications

Improving Scalability of Application-Level Checkpoint-Recovery by Reducing Checkpoint Sizes

This is a post-peer-review, pre-copyedit version of an article published in New Generation Computing. The final authenticated version is available online at: https://doi.org/10.1007/s00354-013-0302-4[Abstract] The execution times of large-scale parallel applications on nowadays multi/many-core systems are usually longer than the mean time between failures. Therefore, parallel applications must tolerate hardware failures to ensure that not all computation done is lost on machine failures. Checkpointing and rollback recovery is one of the most popular techniques to implement fault-tolerant applications. However, checkpointing parallel applications is expensive in terms of computing time, network utilization and storage resources. Thus, current checkpoint-recovery techniques should minimize these costs in order to be useful for large scale systems. In this paper three different and complementary techniques to reduce the size of the checkpoints generated by application-level checkpointing are proposed and implemented. Detailed experimental results obtained on a multicore cluster show the effectiveness of the proposed methods to reduce checkpointing cost.Ministerio de Ciencia e Innovación; TIN2010-16735Galicia. Consellería de Economía e Industria; 10PXIB105180P

Diversity of functional groups in the vegetation sandy seashore of the Grande, Anclitas and Caguamas Cays (Jardines de la Reina Archipelago, Cuba)

Las costas arenosas son ambientes extremos donde la vegetación desarrolla adaptaciones morfológicas y fisiológicas para su supervivencia. Con la finalidad de cuantificar y relacionar la diversidad funcional con factores abióticos, se tomaron datos de riqueza y abundancia en la vegetación de costa arenosa de los cayos Grande, Anclitas y Caguamas. La flora se caracteriza por poseer un predominio de plantas caméfitas y hemicriptófitas, con hojas nanófilas y síndromes de dispersión de anemocoria y zoocoria. No obstante, la riqueza de los grupos funcionales varía entre los cayos estudiados. La diversidad funcional es semejante entre las estaciones lluvia y seca, y su variación espacial depende de la interacción del conjunto de factores abióticos medidos.Sandy shores are known to be extreme ecosystems where the vegetation has evolved many morphological and physiological adaptations for its survival. With the aim of identify possible relationships between the vegetation´s functional diversity with abiotic factors and its corresponding quantification, we collected data on the abundance and richness of the sandy coast vegetation complex in Grande, Anclitas and Caguamas keys. Its flora is largely characterized by the dominance of hemicryptophytes and chamaephytes plants with nanophyllous leaves and displaying dispersal syndromes such as zoochory and anemochory. However, the functional groups´ richness, in the present study, varies from one key to another. Functional diversity is similar between the wet and dry seasons, and its spatial variation is influenced by the interplay of the set of abiotic factors herein studied

How Evolutionary Visual Software Analytics Supports Knowledge Discovery

[EN] Evolutionary visual software analytics is a specialization of visual analytics. It is aimed at supporting software maintenance processes by aiding the understanding and comprehension of software evolution with the active participation of users. Therefore, it deals with the analysis of software projects that have been under development and maintenance for several years and which are usually formed by thousands of software artifacts,which are also associated to logs from communications, defect-tracking and software configuration management systems. Accordingly, evolutionary visual software analytics aims to assist software developers and software project managers by means of an integral approach that takes into account knowledge extraction techniques as well as visual representations that make use of interaction techniques and linked views. Consequently,this paper discusses the implementation of an architecture based on the evolutionary visual software analytics process and how it supports knowledge discovery during software maintenance tasks.[ES] Analítica de software visual evolutivos es una especialización de la analítica visual. Está dirigido a apoyar los procesos de mantenimiento de software, ayudando al entendimiento y la comprensión de la evolución del software, con la participación activa de los usuarios. Por lo tanto, tiene que ver con el análisis de los proyectos de software que han estado bajo desarrollo y mantenimiento por varios años y que por lo general están formados por miles de artefactos de software, que también están asociadas a los registros de las comunicaciones, seguimiento de defectos y sistemas de gestión de configuración de software. En consecuencia, la analítica de software visual evolutivos tiene como objetivo ayudar a los desarrolladores de software y administradores de proyectos de software a través de un enfoque integral que tenga en cuenta las técnicas de extracción de conocimiento, así como representaciones visuales que hacen uso de técnicas de interacción y vistas enlazadas. En consecuencia, en este documento se analiza la implementación de una arquitectura basada en el proceso de analítica de software visual evolutivos y la forma en que apoya el descubrimiento de conocimiento durante las tareas de mantenimiento de softwar

La construcción de una elite urbana en una sociedad de nueva colonización: Tenerife

The conquest of the Canary Islands opens a new scenario for Castile at the end of the 15th C: if until then the territorial expansion was developed thanks to the Islamic enemy then, the Islands constitute a different area because of new factors -presented here- which made a new society governed by new matrices. The process is analyzed from the perspective of the constitution of the first oligarchy in the island.La conquista de Canarias abre un escenario inédito a Castilla a finales del s. XV: si hasta entonces laexpansión territorial se desarrolló a costa del enemigo islámico, las islas serán un espacio distinto por diversosfactores —aquí expuestos— que hicieron que la nueva sociedad se rigiera por nuevas matrices. Se analiza elproceso desde el punto de vista de la constitución de la primera oligarquía de la isla