Impact of gaps in the asteroseismic characterization of pulsating stars. I. On the efficiency of pre-whitening

It is known that the observed distribution of frequencies in CoRoT and Kepler {\delta} Scuti stars has no parallelism with any theoretical model. Pre-whitening is a widespread technique in the analysis of time series with gaps from pulsating stars located in the classical instability strip such as {\delta} Scuti stars. However, some studies have pointed out that this technique might introduce biases in the results of the frequency analysis. This work aims at studying the biases that can result from pre-whitening in asteroseismology. The results will depend on the intrinsic range and distribution of frequencies of the stars. The periodic nature of the gaps in CoRoT observations, just in the range of the pulsational frequency content of the {\delta} Scuti stars, is shown to be crucial to determine their oscillation frequencies, the first step to perform asteroseismolgy of these objects. Hence, here we focus on the impact of pre-whitening on the asteroseismic characterization of {\delta} Scuti stars. We select a sample of 15 {\delta} Scuti stars observed by the CoRoT satellite, for which ultra-high quality photometric data have been obtained by its seismic channel. In order to study the impact on the asteroseismic characterization of {\delta} Scuti stars we perform the pre-whitening procedure on three datasets: gapped data, linearly interpolated data, and ARMA interpolated data. The different results obtained show that at least in some cases pre-whitening is not an efficient procedure for the deconvolution of the spectral window. therefore, in order to reduce the effect of the spectral window to the minimum it is necessary to interpolate with an algorithm that is aimed to preserve the original frequency content, and not only to perform a pre-whitening of the data.Comment: 27 pages, 47 figures Tables and typos fixe

An Augmented Reality App to Learn to Interpret the Nutritional Information on Labels of Real Packaged Foods

[EN] Healthy eating habits involve controlling your diet. It is important to know how to interpret the nutritional information of the packaged foods that you consume. These packaged foods are usually processed and contain carbohydrates and fats. Monitoring carbohydrates intake is particularly important for weight-loss diets and for some pathologies such as diabetes. In this paper, we present an augmented reality app for helping interpret the nutritional information about carbohydrates in real packaged foods with the shape of boxes or cans. The app tracks the full object and guides the user in finding the surface or area of the real package where the information about carbohydrates is located using augmented reality and helps the user to interpret this information. The portions of carbohydrates (also called carb choices or carb servings) that correspond to the visualized food are shown. We carried out a study to check the effectiveness of our app regarding learning outcomes, usability, and perceived satisfaction. A total of 40 people participated in the study (20 men and 20 women). The participants were between 14 and 55 years old. The results reported that their initial knowledge about carb choices was very low. This indicates that education about nutritional information in packaged foods is needed. An analysis of the pre-knowledge and post-knowledge questionnaires showed that the users had a statistically significant increase in knowledge about carb choices using our app. Gender and age did not influence the knowledge acquired. The participants were highly satisfied with our app. In conclusion, our app and similar apps could be used to effectively learn how to interpret the nutritional information on the labels of real packaged foods and thus help users acquire healthy life habits.Juan, M.; Charco, JL.; García García, I.; Mollá Vayá, RP. (2019). An Augmented Reality App to Learn to Interpret the Nutritional Information on Labels of Real Packaged Foods. Frontiers in Computer Science. 1(1):1-16. https://doi.org/10.3389/fcomp.2019.00001S11611Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1-11. doi:10.1016/j.edurev.2016.11.002Azuma, R. T. (1997). A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments, 6(4), 355-385. doi:10.1162/pres.1997.6.4.355Barsom, E. Z., Graafland, M., & Schijven, M. P. (2016). Systematic review on the effectiveness of augmented reality applications in medical training. Surgical Endoscopy, 30(10), 4174-4183. doi:10.1007/s00464-016-4800-6Billinghurst, M., & Kato, H. (2002). Collaborative augmented reality. Communications of the ACM, 45(7), 64-70. doi:10.1145/514236.514265Bowman, D. A., & McMahan, R. P. (2007). Virtual Reality: How Much Immersion Is Enough? Computer, 40(7), 36-43. doi:10.1109/mc.2007.257Calle-Bustos, A.-M., Juan, M.-C., García-García, I., & Abad, F. (2017). An augmented reality game to support therapeutic education for children with diabetes. PLOS ONE, 12(9), e0184645. doi:10.1371/journal.pone.0184645Chatzopoulos, D., Bermejo, C., Huang, Z., & Hui, P. (2017). Mobile Augmented Reality Survey: From Where We Are to Where We Go. IEEE Access, 5, 6917-6950. doi:10.1109/access.2017.2698164Chen, P., Liu, X., Cheng, W., & Huang, R. (2016). A review of using Augmented Reality in Education from 2011 to 2016. Lecture Notes in Educational Technology, 13-18. doi:10.1007/978-981-10-2419-1_2Domhardt, M., Tiefengrabner, M., Dinic, R., Fötschl, U., Oostingh, G. J., Stütz, T., … Ginzinger, S. W. (2015). Training of Carbohydrate Estimation for People with Diabetes Using Mobile Augmented Reality. 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Using Augmented Reality to Treat Phobias. IEEE Computer Graphics and Applications, 25(6), 31-37. doi:10.1109/mcg.2005.143Juan, M.-C., García-García, I., Mollá, R., & López, R. (2018). Users’ Perceptions Using Low-End and High-End Mobile-Rendered HMDs: A Comparative Study. Computers, 7(1), 15. doi:10.3390/computers7010015Juan, M.-C., Mendez-Lopez, M., Perez-Hernandez, E., & Albiol-Perez, S. (2014). Augmented Reality for the Assessment of Children’s Spatial Memory in Real Settings. PLoS ONE, 9(12), e113751. doi:10.1371/journal.pone.0113751Kerawalla, L., Luckin, R., Seljeflot, S., & Woolard, A. (2006). «Making it real»: exploring the potential of augmented reality for teaching primary school science. Virtual Reality, 10(3-4), 163-174. doi:10.1007/s10055-006-0036-4Kesim, M., & Ozarslan, Y. (2012). Augmented Reality in Education: Current Technologies and the Potential for Education. Procedia - Social and Behavioral Sciences, 47, 297-302. doi:10.1016/j.sbspro.2012.06.654Li, W., Nee, A., & Ong, S. (2017). A State-of-the-Art Review of Augmented Reality in Engineering Analysis and Simulation. Multimodal Technologies and Interaction, 1(3), 17. doi:10.3390/mti1030017Macias M, A. I., Gordillo S, L. G., & Camacho R, E. J. (2012). Hábitos alimentarios de niños en edad escolar y el papel de la educación para la salud. Revista chilena de nutrición, 39(3), 40-43. doi:10.4067/s0717-75182012000300006Augmented Reality Market by Offering (Hardware (Sensor, Displays and Projectors, Cameras), and Software), Device Type (Head-Mounted, Head-Up, Handheld), Application (Enterprise, Consumer, Commercial, Automotive) and Geography - Global forecast to 2023Augmented and Virtual Reality in Healthcare Market by Offering (Hardware and Software), Device Type, End User, Application (Patient Care Management, Medical Training and Education, Pharmacy Management, Surgery), and Geography - Global Forecast to 2023Meola, A., Cutolo, F., Carbone, M., Cagnazzo, F., Ferrari, M., & Ferrari, V. (2016). Augmented reality in neurosurgery: a systematic review. Neurosurgical Review, 40(4), 537-548. doi:10.1007/s10143-016-0732-9Nincarean, D., Alia, M. B., Halim, N. D. A., & Rahman, M. H. A. (2013). Mobile Augmented Reality: The Potential for Education. 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Visualization of multifractal superconductivity in a two-dimensional transition metal dichalcogenide in the weak-disorder regime

Eigenstate multifractality is a distinctive feature of non-interacting disordered metals close to a metal-insulator transition, whose properties are expected to extend to superconductivity. While multifractality in three dimensions (3D) only develops near the critical point for specific strong-disorder strengths, multifractality in 2D systems is expected to be observable even for weak disorder. Here we provide evidence for multifractal features in the superconducting state of an intrinsic weakly disordered single-layer NbSe$_2$ by means of low-temperature scanning tunneling microscopy/spectroscopy. The superconducting gap, characterized by its width, depth and coherence peaks' amplitude, shows a characteristic spatial modulation coincident with the periodicity of the quasiparticle interference pattern. Spatial inhomogeneity of the superconducting gap width, proportional to the local order parameter in the weak-disorder regime, follows a log-normal statistical distribution as well as a power-law decay of the two-point correlation function, in agreement with our theoretical model. Furthermore, the experimental singularity spectrum f($\alpha$) shows anomalous scaling behavior typical from 2D weakly disordered systems

Diagnóstico diferencial de las enfermedades prostáticas

Este trabajo incluye una revisión de los métodos de diagnóstico de las enfermedades prostáticas; además describe cómo podemos distinguir entre cada una de ellas, dependiendo del método de diagnóstico utilizado.This paper reviews the prostatic pathologies diagnosis methods; it also describes the way we can distinguish between each one depending on the one we use

Montera: A Framework for Efficient Execution of Monte Carlo Codes on Grid Infrastructures

he objective of this work is to improve the performance of Monte Carlo codes on Grid production infrastructures. To do so, the codes and the grid sites are characterized with simple parameters to model their behaviors. Then, a new performance model for grid infrastructures is proposed, and an algorithm that employs this information is described. This algorithm dynamically calculates the number and size of tasks to execute on each site to maximize the performance and reduce makespan. Finally, a newly developed framework called Montera is presented. Montera deals with the execution of Monte Carlo codes in an unattended way, isolating the complexity of the problem from the final user. By employing two fusion Monte Carlo codes as example cases, along with the described characterizations and scheduling algorithm, a performance improvement up to 650 % over current best results is obtained on a real production infrastructure, together with enhanced stability and robustness

Genomic Evolution of Two Acinetobacter baumannii Clinical Strains from ST-2 Clones Isolated in 2000 and 2010 (ST-2_clon_2000 and ST-2_clon_2010)

Acinetobacter baumannii is a successful nosocomial pathogen due to its ability to persist in hospital environments by acquiring mobile elements such as transposons, plasmids, and phages. In this study, we compared two genomes of A. baumannii clinical strains isolated in 2000 (ST-2_clon_2000) and 2010 (ST-2_clon_2010) from GenBank project PRJNA308422