Melting behavior of large disordered sodium clusters

The melting-like transition in disordered sodium clusters Na_N, with N=92 and 142 is studied by using a first-principles constant-energy molecular dynamics simulation method. Na_142, whose atoms are distributed in two (surface and inner) main shells with different radial distances to the center of mass of the cluster, melts in two steps: the first one, at approx. 130 K, is characterized by a high intrashell mobility of the atoms, and the second, homogeneous melting, at approx. 270 K, involves diffusive motion of all the atoms across the whole cluster volume (both intrashell and intershell displacements are allowed). On the contrary, the melting of Na_92 proceeds gradually over a very wide temperature interval, without any abrupt step visible in the thermal or structural melting indicators. The occurrence of well defined steps in the melting transition is then shown to be related to the existence of a distribution of the atoms in shells. Thereby we propose a necessary condition for a cluster to be considered rigorously amorphouslike (totally disordered), namely that there are no space regions of the cluster where the local value of the atomic density is considerably reduced. Na_92 is the only cluster from the two considered that verifies this condition, so its thermal behavior can be considered as representative of that expected for amorphous clusters. Na_142, on the other hand, has a discernible atomic shell structure and should be considered instead as just partially disordered. The thermal behavior of these two clusters is also compared to that of icosahedral (totally ordered) sodium clusters of the same sizes.Comment: LaTeX file. 7 pages with 12 picture

Trabajo e interacción como intereses rectores del conocimiento.

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Padilla Novoa, M.: Unamuno, filósofo de encrucijada.

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Sentido y funciones de la facultad de juzgar en la reflexión kantiana sobre la naturaleza.

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A new self-organizing neural gas model based on Bregman divergences

In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman Neural Gas (GHBNG) has been proposed. Our proposal is based on the Growing Hierarchical Neural Gas (GHNG) in which Bregman divergences are incorporated in order to compute the winning neuron. This model has been applied to anomaly detection in video sequences together with a Faster R-CNN as an object detector module. Experimental results not only confirm the effectiveness of the GHBNG for the detection of anomalous object in video sequences but also its selforganization capabilities.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

The environmental watchdogs: Wildlife as sentinels of antimicrobial resistance pollution in the environment in Catalonia

El creciente incremento de resistencias a los antimicrobianos (RAM) tanto en seres humanos como en el ganado se atribuye en gran medida al uso excesivo o incorrecto de estos tratamientos. La alarmante aparición de estas resistencias en la medicina humana y veterinaria ha impulsado el desarrollo de diversos estudios de monitorización de los niveles de contaminación RAM en el medio ambiente. En este documento se describe la aparición de genes de resistencia a los antibióticos de último recurso en medicina humana, en una amplia diversidad de animales salvajes. Se sugiere que la fauna salvaje puede ser un buen centinela de la contaminación ambiental por RAM, especialmente en áreas muy pobladas. Por otro lado, los animales salvajes también pueden contribuir a la propagación de bacterias y genes RAM en el medio ambiente y representar un riesgo zoonótico para las personas que estén en estrecho contacto.; El creixent increment de resistències als antimicrobians (RAM) tant en éssers humans com en el bestiar s’atribueix en gran manera a l’ús excessiu o incorrecte d’aquests tractaments. L’alarmant aparició d’aquestes resistències en la medicina humana i veterinària ha impulsat el desenvolupament de diversos estudis de monitoratge dels nivells de contaminació RAM en el medi ambient. En aquest document es descriu l’aparició de gens de resistència als antibiòtics d’últim recurs en medicina humana, en una àmplia diversitat d’animals salvatges. Se suggereix que la fauna salvatge pot ser un bon sentinella de la contaminació ambiental per RAM, especialment en àrees molt poblades. D’altra banda, els animals salvatges també poden contribuir a la propagació de bacteris i gens RAM en el medi ambient i representar un risc zoonòtic per a les persones que hi estiguen en contacte estret.; The increasing prevalence of antimicrobial resistance (AMR) in both humans and livestock is attributed largely to the overuse and misuse of antimicrobials. The alarming emergence of this resistance in human and veterinary medicine has activated awareness for monitoring the levels of AMR pollution in the environment. In this report, the emergence of genes conferring resistance to human last-resort antibiotics is described in a wide diversity of wild animals. It suggests that wildlife can be good sentinels of AMR environmental pollution, especially in highly populated areas. Moreover, wild animals can also contribute in the dissemination of AMR bacteria and genes in the environment and represent a zoonotic risk for the population who are exposed to them

Vehicle Type Detection by Convolutional Neural Networks

In this work a new vehicle type detection procedure for traffic surveillance videos is proposed. A Convolutional Neural Network is integrated into a vehicle tracking system in order to accomplish this task. Solutions for vehicle overlapping, differing vehicle sizes and poor spatial resolution are presented. The system is tested on well known benchmarks, and multiclass recognition performance results are reported. Our proposal is shown to attain good results over a wide range of difficult situations.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Dunford-Pettis-like Properties of Projective and Natural Tensor Product Spaces

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Road pollution estimation using static cameras and neural networks

Este artículo presenta una metodología para estimar la contaminación en carreteras mediante el análisis de secuencias de video de tráfico. El objetivo es aprovechar la gran red de cámaras IP existente en el sistema de carreteras de cualquier estado o país para estimar la contaminación en cada área. Esta propuesta utiliza redes neuronales de aprendizaje profundo para la detección de objetos, y un modelo de estimación de contaminación basado en la frecuencia de vehículos y su velocidad. Los experimentos muestran prometedores resultados que sugieren que el sistema se puede usar en solitario o combinado con los sistemas existentes para medir la contaminación en carreteras.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Effect of preparation conditions on the polymorphism and transport properties of lanthanum molybdates

In this work, La6MoO12-based compounds were investigated as part of a new family of materials very competitive as hydrogen separation membranes [1,2]. La5.4MoO11.1 was synthesized by the freeze-drying precursor method and the calcination conditions were optimized in order to obtain single phases. Several cooling rates were applied and different polymorphs were obtained: a simple cubic fluorite symmetry (Fm-3m) for the sample cooled by quenching, and two different rhombohedral (R-3) space groups for the samples cooled at 50 ºC•min-1 and 0.5 ºC•min-1 (see Figure below). For the quenched sample, the Rietveld refinement was satisfactory in a Fm-3m space group. For the other two compositions no structural model was available and were indexed in a R-3 space group, however some small reflections were not given any intensity by the model used. Transmission electron microscopy confirmed the presence of superstructures for those samples. All ceramic materials were obtained with relative densities close to 100% after sintering at 1500 ºC. Stability studies demonstrated that all three polymorphs were stable in oxidizing and reducing conditions at 800 ºC for 48 hours. The three samples present a significant proton contribution to the conductivity at temperatures lower than 800 ºC. These results were confirmed by thermogravimetric analysis. The highest conductivity values were observed for the samples prepared by quenching. The three polymorphs display a small p-type electronic contribution to the overall conductivity in oxidizing conditions and n-type electronic one in very reducing conditions, much more significant for the samples cooled by quenching and at 50 ºC•min-1.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech