Newtonian gravity and resonance on de-Sitter branes

A dS brane on the boundary between two five-dimensional spacetimes is determined. We consider asymmetric scenarios with AdS${}_5$ vacua at each side of the dS brane; and as a result, a resonant mode inside of the spectrum of the gravitational fluctuations is found. We analyze the deviations to the Newton potential generated by the gravitational excitations, finding that, for scenarios with large values of the cosmological constants, the contribution of the resonant mode is exponentially suppressed. However, when one of the vacua is null, the resonant mode belongs to the light states set of the gravitational fluctuations and five-dimensional gravity is recovered on the dS brane.Comment: 6 pages, 2 figure

Gauge field localization on brane worlds

We consider the effects of spacetime curvature and brane thickness on the localization of gauge fields on a brane via kinetic terms induced by localized fermions. We find that in a warped geometry with and infinitely thin brane, both the infrared and the ultraviolet behavior of the electromagnetic propagator are affected, providing a more stringent bound on the brane's tension than that coming from the requirement of four-dimensional gravity on the brane. On the other hand, for a thick wall in a flat spacetime, where the fermions are localized by means of a Yukawa coupling, we find that 4-dimensional electromagnetism is recovered in a region bounded from above by the same critical distance appearing in the thin case, but also from below by a new scale related to the brane's thickness and the electromagnetic couplings.Comment: 7 page

Analysis of spatio-temporal representations for robust footstep recognition with deep residual neural networks

IEEE: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.”Human footsteps can provide a unique behavioural pattern for robust biometric systems. We propose spatio-temporal footstep representations from floor-only sensor data in advanced computational models for automatic biometric verification. Our models deliver an artificial intelligence capable of effectively differentiating the fine-grained variability of footsteps between legitimate users (clients) and impostor users of the biometric system. The methodology is validated in the largest to date footstep database, containing nearly 20,000 footstep signals from more than 120 users. The database is organized by considering a large cohort of impostors and a small set of clients to verify the reliability of biometric systems. We provide experimental results in 3 critical data-driven security scenarios, according to the amount of footstep data made available for model training: at airports security checkpoints (smallest training set), workspace environments (medium training set) and home environments (largest training set). We report state-of-the-art footstep recognition rates with an optimal equal false acceptance and false rejection rate of 0.7% (equal error rate), an improvement ratio of 371% from previous state-of-the-art. We perform a feature analysis of deep residual neural networks showing effective clustering of client's footstep data and provide insights of the feature learning process.This work has been partially supported by Cognimetrics TEC2015-70627-R MINECO/FEDE

El efecto antisenescente del resveratrol reduce la tasa de ablandamiento poscosecha de chirimoya

El fruto de chirimoya (Annona cherimolaMill.) es muy susceptible al deterioroposcosechadebido a sunaturaleza climatérica. Con el fin de observar el efecto antisenescente del resveratrol (RVS), éste bioreguladorvegetal se aplicó en frutos de Fino de Jete y Bronceada a 1,6; 0,16; 0,016 y 0 mM a los 0, 8 y 15 días antesde la cosecha (DAC). A los 1, 7 y 15 días después de la cosecha (DDC) se analizaron variables bioquímicas ybiofísicas. Al termino de 15 días de almacenamiento a temperatura ambiente, en relación al control, 1,6 mMRVS, aplicado 15 DAC, disminuyó el ablandamiento del fruto 78% para chirimoya Fino de Jete y 54% paraBronceada. A los 15 DDC se realizó la evaluación sensorial a frutos tratados 8 y15 DAC, los resultadosmostraron que los frutos de mayor aceptación fueron los tratados con 1,6 mM RVS ya sea a los 8 y 15 DAC,al ser calificados como de mejor aspecto, aroma y sabor

Spatial footstep recognition by convolutional neural networks for biometrie applications

We propose a Convolutional Neural Network model to learn spatial footstep features end-to-end from a floor sensor system for biometric applications. Our model’s generalization performance is assessed by independent validation and evaluation datasets from the largest footstep database to date, containing nearly 20,000 footstep signals from 127 users. We report footstep recognition performance as Equal Error Rate in the range of 9% to 13% depending on the test set. This improves previously reported footstep recognition rates in the spatial domain up to 4% EE

Caracterización morfológica y bioquímica de frutos de tejocote (Crataegus mexicana DC.) de Lerma y Ocoyoacac, México

Se caracterizó morfológica y bioquímicamente a frutos de 49 tejocoteros (Crataegus mexicana DC.) de Santa María Tlalmimilolpan, Lerma y Ocoyoacac, México, encontrando diferencias estadísticas (P < 0.05) para peso, longitud (L) y diámetro de fruto (D); relación L/D, porcentaje de pulpa; peso, longitud del eje mayor y longitud del eje menor del endocarpio; pH, acidez titulable, compuestos fenólicos y azúcares totales. Al formarse cuatro grupos, los grupos ii y iii, sobresalieron para peso de fruto con 17.4 y 13.6 g, respectivamente. El grupo i presentó un mayor contenido de compuestos fenólicos (16.5 mg g-1 PF), mientras que en el grupo iv se presentó el más alto contenido de azúcares totales (102.9 mg g-1 PF).Se caracterizó morfológica y bioquímicamente a frutos de 49 tejocoteros (Crataegus mexicana DC.) de Santa María Tlalmimilolpan, Lerma y Ocoyoacac, México, encontrando diferencias estadísticas (P ≤ 0.05) para peso, longitud (L) y diámetro de fruto (D); relación L/D, porcentaje de pulpa; peso, longitud del eje mayor y longitud del eje menor del endocarpio; pH, acidez titulable, compuestos fenólicos y azúcares totales. Al formarse cuatro grupos, los grupos ii y iii, sobresalieron para peso de fruto con 17.4 y 13.6 g, respectivamente. El grupo i presentó un mayor contenido de compuestos fenólicos (16.5 mg g-1 PF), mientras que en el grupo iv se presentó el más alto contenido de azúcares totales (102.9 mg g-1 PF)