340 research outputs found
Internal framework and geochemistry of the Carboniferous Huaco granite pluton, Sierra de Velasco, NW Argentina
The A-type Huaco granite pluton of the Velasco range (Sierras Pampeanas of northwest Argentina) is formed by three coeval granitic facies and contains subordinate coeval-to-late facies, as well as enclaves, dikes and stocks that show different temporal relations, textures and compositions. The dominant facies (Regional Porphyritic Granite; RPG) is a porphyritic two-mica monzo- to syenogranite, with abundant microcline megacrysts up to 12 cm in size. It was emplaced in a dominant extensional setting and has a mainly crustal source but with participation of a mantle-derived component. The RPG transitions towards two coeval and co-genetic granite facies, at its margins (Border Granite; BG) and around Be-pegmatites (Adjacent Porphyritic Granite; APG). These two facies have a finer-grained texture and smaller and less abundant megacrysts. They are also monzo- to syenogranites, but a slight decrease in the biotite/muscovite ratio is observed from the BG to the RPG to the APG. Trace element modeling suggests that the RPG, BG and APG differentiated from the same magma source by fractional crystallization. Temporally older mafic (ME) and felsic (FE) enclaves are common in the pluton. The ME can be considered partially assimilated remnants of a mafic component in the genesis of the RPG, whereas the FE seem to be remnants of premature aplites. Other subordinate rocks intrude the RPG and are, hence, temporally younger: felsic dikes (FD), dioritic dikes (DD) and equiganular granites (EqG) are clearly posterior, whereas coeval-to-late Be-pegmatites (BeP) and orbicular granites (OG) formed during the final stages of crystallization of the pluton. The BeP, OG and FD indicate the presence of abundant water and volatiles. The EqG form small stocks that intrude the RPG and were possibly originated from purely crustal sources. The DD probably correspond to a younger unrelated episode of mafic magmatism.Fil: Sardi, Fernando Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Correlación Geológica. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Departamento de Geología. Cátedra Geología Estructural. Instituto Superior de Correlación Geológica; ArgentinaFil: Grosse, Pablo. Fundación Miguel Lillo. Dirección de Geología. Instituto de Minerología y Petrografia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Murata, Mamoru. Naruto University; JapónFil: Lozano Fernández, Rafael Pablo. Instituto Geológico y Minero de España; Españ
Complejos de molibdeno (V) con oxinas y sus derivados
Tesis - Universidad Complutense de Madrid, 1980.Depto. de Química InorgánicaFac. de Ciencias QuímicasTRUEProQuestpu
Complejos de molibdeno (V) con oxinas y sus derivados
Tesis - Universidad Complutense de Madrid, 1980.Depto. de Química InorgánicaFac. de Ciencias QuímicasTRUEProQuestpu
A generalized linear model for cardiovascular complications prediction in PD patients
[Abstract] This study was conducted using machine learning models to identify patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis patients. Nowadays is well known that cardiovascular diseases are the key to mortality in patients undergoing peritoneal dialysis as the risk of cardiovascular disease increases with the progression of renal failure. Primary aim is to establish variables most associated with cardiovascular complications. To achieve this goal four different machine learning techniques were used. We found that the best classification algorithm was a Generalized Linear Model, which achieved AUC values above 96% using a small subset of the original variables following a feature selection approach. Our approach allows us to increase the interpretability of the combinations of traditional factors, advanced chronic kidney disease factors and peritoneal dialysis factors all related with cardiovascular risk profile. The final model is based primarily in the traditional factors.Instituto de Salud Carlos III; PI17/01826Xuinta de Galicia; ED431G/01Xunta de Galicia; ED431D 2017/1Xunta de Galicia; ED431D 2017/2Ministerio de Economía y Competitividad; UNLC08-1E-002Ministerio de Economía y Competitividad; UNLC13-13-350
Atrial fibrosis hampers non-invasive localization of atrial ectopic foci from multi-electrode signals: A 3D simulation study
Introduction: Focal atrial tachycardia is commonly treated by radio frequency ablation with an acceptable long-term success. Although the location of ectopic foci tends to appear in specific hot-spots, they can be located virtually in any atrial region. Multi-electrode surface ECG systems allow acquiring dense body surface potential maps (BSPM) for non-invasive therapy planning of cardiac arrhythmia. However, the activation of the atria could be affected by fibrosis and therefore biomarkers based on BSPM need to take these effects into account. We aim to analyze the effect of fibrosis on a BSPM derived index, and its potential application to predict the location of ectopic foci in the atria
Geological and geochemical setting of the Mazán Granite containing andalusite-pegmatites, Argentina
The Mazán pegmatitic fi eld integrates the Pampean Pegmatitic Province. It is located at northeastern of the La Rioja province, Northwestern Argentina. The pegmatites from Mazán fi eld have spatial relationship with Mazán Granite –MGdefi ned by Fogliata and Avila (1997). We found magmatic andalusites from pegmatites in MG, but they are not found in other pegmatites in Argentina so far. The main goal of this paper is to characterize MG and its andalusite-bearing pegmatites associated inside of geological and geochemical setting.Fil: Sardi, Fernando Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Correlación Geológica. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Departamento de Geología. Cátedra Geología Estructural. Instituto Superior de Correlación Geológica; ArgentinaFil: Murata, Cecilia. Naruto University of Eduaction, Department of Geosciences. Tokushima; JapónFil: Lozano Fernández, Rafael. Geominero Museum, Geological Survey of Spain. Madrid; EspañaFil: Báez, Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Correlación Geológica. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Departamento de Geología. Cátedra Geología Estructural. Instituto Superior de Correlación Geológica; ArgentinaFil: Fogliata, Ana Silvia. Fundación Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Cátedra de Geología de Minas; ArgentinaFil: Lazo, Miguel. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo; Argentin
Increased neurotransmitter release at the neuromuscular junction in a mouse model of polyglutamine disease
In Huntington’s disease (HD), the expansion of polyglutamine (polyQ) repeats at the N terminus of the ubiquitous protein huntingtin (htt) leads to neurodegeneration in specific brain areas. Neurons degenerating in HD develop synaptic dysfunctions. However, it is unknown whether mutant htt impacts synaptic function in general. To investigate that, we have focused on the nerve terminals of motor neurons that typically do not degenerate in HD. Here, we have studied synaptic transmission at the neuromuscular junction of transgenic mice expressing a mutant form of htt (R6/1 mice).Wehave found that the size and frequency of miniature endplate potentials are similar in R6/1 and control mice. In contrast, the amplitude of evoked endplate potentials in R6/1 mice is increased compared to controls. Consistent with a presynaptic increase of release probability, synaptic depression under high-frequency stimulation is higher in R6/1 mice. In addition, no changes were detected in the size and dynamics of the recycling synaptic vesicle pool. Moreover, we have found increased amounts of the synaptic vesicle proteins synaptobrevin 1,2/VAMP 1,2 and cysteine string protein-_, and the SNARE protein SNAP-25, concomitant with normal levels of other synaptic vesicle markers. Our results reveal that the transgenic expression of a mutant form of htt leads to an unexpected gain of synaptic function. That phenotype is likely not secondary to neurodegeneration and might be due to a primary deregulation in synaptic protein levels. Our findings could be relevant to understand synaptic toxic effects of proteins with abnormal polyQ repeats
Diseño de un viaje turístico personalizado
En los últimos tiempos se ha producido un cambio sustancial en las
preferencias y el comportamiento de los turistas, pasando de viajes estándar a otras
opciones más personalizadas. Actualmente, cuando un turista se desplaza suele buscar
múltiples atractivos turísticos, debiendo repartir el tiempo de sus vacaciones entre diversas
actividades, considerando diversos criterios para su elección. Estos criterios van a estar en
conflicto, ya que entre otros aspectos, las atracciones más importantes normalmente son las
más caras, nos encontramos así ante un problema multicriterio. En este trabajo intentamos
solucionar el problema que se le plantea a un turista que desea planificar un viaje por una
zona determinada, teniendo en cuenta los costes económicos, el tiempo de realización de las
actividades, y por supuesto, sus preferencias. Se recogen las preferencias del turista y se
incorpora esta información en la formulación del problema multicriterio, para obtener un
conjunto de soluciones eficientes (mediante un método metaheurístico basado en Búsqueda
Tabú). Finalmente, mediante un proceso interactivo, se ayuda al turista a elegir la solución
más adecuada entre el conjunto de soluciones eficientes, obteniendo un itinerario de
actividades para realizar cada día en un horario establecido.In the last years a substantial change has taken place in the tourists'
preferences and behaviours, going from standard trips to other more personalized options,
looking for a wide variety of activities and trying to distribute their time. Then, several
objectives will be in conflict, because (among other causes) the most important attractions
are usually the most expensive and, in consequence, we face clearly with a multiobjetive
problem. In this work we try to solve the problem of a tourist trying to plan a trip for a
certain area, taking into account the diverse economic costs, the timing of the different
activities to carry out and, of course, his/her particular preferences. We will ask the tourist
about his/her preferences and this information will be used in a multiobjective problem
formulation, in order to obtain a set of efficient solutions (by means of a metaheuristic
method based on Tabu Search). Finally, using an interactive procedure, we will help the
decision maker to choose the most preferred solution among this set of efficient choices.
With this solution, the tourist will obtain a set of activities for each day and a schedule for
them
Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulation
Reinforcement learning is one of the most promising machine learning techniques to get intelligent behaviors for embodied agents in simulations. The output of the classic Temporal Difference family of Reinforcement Learning algorithms adopts the form of a value function expressed as a numeric table or a function approximator. The learned behavior is then derived using a greedy policy with respect to this value function. Nevertheless, sometimes the learned policy does not meet expectations, and the task of authoring is difficult and unsafe because the modification of one value or parameter in the learned value function has unpredictable consequences in the space of the policies it represents. This invalidates direct manipulation of the learned value function as a method to modify the derived behaviors. In this paper, we propose the use of Inverse Reinforcement Learning to incorporate real behavior traces in the learning process to shape the learned behaviors, thus increasing their trustworthiness (in terms of conformance to reality). To do so, we adapt the Inverse Reinforcement Learning framework to the navigation problem domain. Specifically, we use Soft Q-learning, an algorithm based on the maximum causal entropy principle, with MARL-Ped (a Reinforcement Learning-based pedestrian simulator) to include information from trajectories of real pedestrians in the process of learning how to navigate inside a virtual 3D space that represents the real environment. A comparison with the behaviors learned using a Reinforcement Learning classic algorithm (Sarsa(λ)) shows that the Inverse Reinforcement Learning behaviors adjust significantly better to the real trajectories
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