Aceite de oliva virgen y regulación hormonal de la presión arterial: una revisión del papel de los enzimas proteolíticos

Numerosos estudios realizados en los últimos años, han puesto de manifiesto que los niveles elevados de grasa en la dieta están directamente relacionados con el desarrollo de diversas patologías, entre las que destacan enfermedades cardiovasculares, diabetes o incluso diversos tipos de cánceres. Estudios epidemiológicos también han demostrado que no sólo es importante la cantidad, sino también el tipo de grasa de la dieta. Son especialmente conocidos los efectos beneficiosos de la dieta mediterránea, caracterizada entre otros aspectos, por un consumo elevado de ácidos grasos monoinsaturados como el oleico. En cualquier caso, no se conoce con exactitud las relaciones existentes entre el tipo de grasa de la dieta y el desarrollo de las distintas patologías. Las aminopeptidasas son enzimas proteolíticos implicados en una amplia variedad de procesos biológicos, destacando su papel en el control de la presión arterial a través del sistema renina-angiotensina. En esta revisión se estudia la influencia de una dieta enriquecida en aceite de oliva sobre la actividad aminopeptidásica sérica y de tejidos periféricos, analizando su influencia en la regulación del sistema renina-angiotensina para el control de la presión arterial y el balance de líquidos y electrolitos.The intake of high fat dietary levels is related to the development of several pathologies such as cardiovascular diseases, diabetes and cancer. However, epidemiological studies have demonstrated that not only the amount but also the type of dietary fat participates in the origin of the diseases. In fact, several important beneficts have been attributed to the Mediterranean diet, characterized by the high intake of monoinsaturated fatty acids such as oleic acid preferently. In any case, the relationship between the type of dietary fat an the development of diseases are unknown. Aminopeptidases are proteolytic enzymes involved in several biological proccesses, regulating blood pressure through the renin-angiotensin system. In this review, the influence of an olive oil-enriched diet is presented, analyzing their role in the regulation of blood pressure, local blood flow and fluid and electrolytic balance among other functions

sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints

Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving objects. To solve this, some other authors have proposed the combination of keypoints and artificial markers distributed in the environment so as to facilitate the tracking process in the long run. Artificial markers are special elements (similar to beacons) that can be permanently placed in the environment to facilitate tracking. In any case, these systems keep a set of keypoints that is not likely to be reused, thus unnecessarily increasing the computing time required for tracking. This paper proposes a novel visual SLAM approach that efficiently combines keypoints and artificial markers, allowing for a substantial reduction in the computing time and memory required without noticeably degrading the tracking accuracy. In the first stage, our system creates a map of the environment using both keypoints and artificial markers, but once the map is created, the keypoints are removed and only the markers are kept. Thus, our map stores only long-lasting features of the environment (i.e., the markers). Then, for localization purposes, our algorithm uses the marker information along with temporary keypoints created just in the time of tracking, which are removed after a while. Since our algorithm keeps only a small subset of recent keypoints, it is faster than the state-of-the-art vSLAM approaches. The experimental results show that our proposed sSLAM compares favorably with ORB-SLAM2, ORB-SLAM3, OpenVSLAM and UcoSLAM in terms of speed, without statistically significant differences in accuracy

sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints

Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving objects. To solve this, some other authors have proposed the combination of keypoints and artificial markers distributed in the environment so as to facilitate the tracking process in the long run. Artificial markers are special elements (similar to beacons) that can be permanently placed in the environment to facilitate tracking. In any case, these systems keep a set of keypoints that is not likely to be reused, thus unnecessarily increasing the computing time required for tracking. This paper proposes a novel visual SLAM approach that efficiently combines keypoints and artificial markers, allowing for a substantial reduction in the computing time and memory required without noticeably degrading the tracking accuracy. In the first stage, our system creates a map of the environment using both keypoints and artificial markers, but once the map is created, the keypoints are removed and only the markers are kept. Thus, our map stores only long-lasting features of the environment (i.e., the markers). Then, for localization purposes, our algorithm uses the marker information along with temporary keypoints created just in the time of tracking, which are removed after a while. Since our algorithm keeps only a small subset of recent keypoints, it is faster than the state-of-the-art vSLAM approaches. The experimental results show that our proposed sSLAM compares favorably with ORB-SLAM2, ORB-SLAM3, OpenVSLAM and UcoSLAM in terms of speed, without statistically significant differences in accuracy.This research was funded by the project PID2019-103871GB-I00 of the Spanish Ministry of Economy, Industry and Competitiveness, FEDER, Project 1380047-F UCOFEDER-2021 of Andalusia and by the European Union–NextGeneration EU for requalification of Spanish University System 2021–2023

Análisis pluriescalar de los patrones de distribución espacial del endemisrno alicantino Vella lucentina, MB Crespo (Brassicaceae) e implicaciones sobre su conservación

El análisis de la distribución de los patrones espaciales y de la estructura de las poblaciones en el espacio, es uno de los aspectos clave que se deben considerar en la gestión y conservación de poblaciones de especies vegetales. En el presente estudio se realiza un análisis de la distribución del arbusto endémico estricto de la provincia de Alicante, Vella lucentina, con el fin de obtener información acerca de su biología que favorezca la gestión adecuada de las poblaciones existentes para asegurar su conservación. El estudio contempla dos escalas espaciales. En primer lugar, en la escala regional, se analiza la estructura metapoblacional de la especie dentro de la Provincia de Alicante (Comunidad Valenciana). En segundo lugar, el análisis en una escala local permite apreciar la existencia de discontinuidades en la densidad de los individuos dentro de una misma población, en función de las coberturas de suelo.Spatial pattern in plant populations is a key topic in conservation ecology of rare plants. We analyse distribution patterns of rare, endemic shrub Vella lucentina in semi-arid southeastern Spain at macro and mesoescale. Macroescale analysis show a metapopulation pattern whereas mesoescale analyses indicate discontinuities between plant densities related to landuses. In addition these results can offer a conceptual framework for the population management and the conservation of the species

Análisis pluriescalar de los patrones de distribución espacial del endemisrno alicantino Vella Lucentina, MB Crespo (Brassicaceae) e implicaciones sobre su conservación

Spatial pattern in plant populations is a key topic in conservation ecology of rare plants. We analyse distribution patterns of rare, endemic shrub Vella lucentina in semi-arid southeastern Spain at macro and mesoescale. Macroescale analysis show a metapopulation pattern whereas mesoescale analyses indicate discontinuities between plant densities related to landuses. In addition these results can offer a conceptual framework for the population management and the conservation of the species.El análisis de la distribución de los patrones espaciales y de la estructura de las poblaciones en el espacio, es uno de los aspectos clave que se deben considerar en la gestión y conservación de poblaciones de especies vegetales. En el presente estudio se realiza un análisis de la distribución del arbusto endémico estricto de la provincia de Alicante, Vella lucentina, con el fin de obtener información acerca de su biología que favorezca la gestión adecuada de las poblaciones existentes para asegurar su conservación. El estudio contempla dos escalas espaciales. En primer lugar, en la escala regional, se analiza la estructura metapoblacional de la especie dentro de la Provincia de Alicante (Comunidad Valenciana). En segundo lugar, el análisis en una escala local permite apreciar la existencia de discontinuidades en la densidad de los individuos dentro de una misma población, en función de las coberturas de suelo