Postselection-Loophole-Free Bell Test Over an Installed Optical Fiber Network

Device-independent (DI) quantum communication will require a loophole-free violation of Bell inequalities. In typical scenarios where line-of-sight between the communicating parties is not available, it is convenient to use energy-time entangled photons due to intrinsic robustness while propagating over optical fibers. Here we show an energy-time Clauser-Horne-Shimony-Holt Bell inequality violation with two parties separated by 3.7 km over the deployed optical fiber network belonging to the University of Concepci\'on in Chile. Remarkably, this is the first Bell violation with spatially separated parties that is free of the post-selection loophole, which affected all previous in-field long-distance energy-time experiments. Our work takes a further step towards a fiber-based loophole-free Bell test, which is highly desired for secure quantum communication due to the widespread existing telecommunication infrastructure.Comment: 5 pages, 3 figures. Matches published versio

PRONÓSTICO DE GENERACIÓN ELÉCTRICA DE CORTO PLAZO DE UN PARQUE EÓLICO, UTILIZANDO TÉCNICAS NUMÉRICAS DE PREDICCIÓN DEL CLIMA (SHORT-TERM ELECTRICITY GENERATION PROGNOSTIC OF A WIND FARM, USING WEATHER PREDICTION NUMERICAL TECHNIQUES)

ResumenActualmente el aumento de la demanda energética ha provocado impactos negativos al ambiente, debido al uso irracional de combustibles fósiles que se ocupan en la producción de energía eléctrica. Derivado de esta situación se busca una solución en la cual México afronte esta problemática. El desarrollo e implementación de energías renovables ha tenido un auge en los últimos años, por lo que se considera una manera adecuada de minimizar los impactos negativos al ambiente y la sustitución y/o reducción de combustibles fósiles. En particular, la energía eólica presenta una alternativa a esta problemática, sin embargo, está energía tiene una limitante, debido a su intermitencia. El objetivo del presente trabajo es desarrollar un modelo de predicción numérica del tiempo (PNT) en microescala, para el cálculo de la generación de energía eléctrica en parques eólicos en un periodo de corto plazo (24 horas). El desarrollo de este proyecto contribuye a la integración de la energía eólica para suministrar a la red eléctrica y de esta manera disminuir el uso de combustibles fósiles. Palabra(s) Clave: Energía eólica, generación de energía eléctrica, intermitencia y PNT.AbstractCurrently the increase in energy demand has caused negative impacts on the environment, due to the irrational use of fossil fuels that are involved in the production of electricity. Derived from this situation, a solution is sought in which Mexico faces this problem. The development and implementation of renewable energies has had a boom in recent years, which is why it is considered an adequate way to minimize the negative impacts on the environment and the substitution and / or reduction of fossil fuels. In particular, wind energy presents an alternative to this problem, however, this energy has a limiting factor, due to its intermittence. The objective of this work is to develop a model of numerical weather prediction (NWP) in microscale, for the calculation of the generation of electric power in wind farms for a short period (24 hours). The development of this project contributes to the integration of wind power to supply the electricity network and thus reduce the use of fossil fuels. Keywords: Wind power, electric power generation, Intermittence and NWP.

Towards Better Wind Resource Modeling in Complex Terrain: A k-Nearest Neighbors Approach

Wind turbines are often placed in complex terrains, where benefits from orography-related speed up can be capitalized. However, accurately modeling the wind resource over the extended areas covered by a typical wind farm is still challenging over a flat terrain, and over a complex terrain, the challenge can be even be greater. Here, a novel approach for wind resource modeling is proposed, where a linearized flow model is combined with a machine learning approach based on the k-nearest neighbor (k-NN) method. Model predictors include combinations of distance, vertical shear exponent, a measure of the terrain complexity and speedup. The method was tested by performing cross-validations on a complex site using the measurements of five tall meteorological towers. All versions of the k-NN approach yield significant improvements over the predictions obtained using the linearized model alone; they also outperform the predictions of non-linear flow models. The new method improves the capabilities of current wind resource modeling approaches, and it is easily implemented

Manual de habilidades motrices básicas para la clase de educación física de NB1, como material de apoyo a los profesores de enseñanza general básica de los colegios municipalizados de la comuna de Santiago

Tesis (Profesor de Educación Física para la Enseñanza Básica, Licenciado en Educación)A continuación, se presenta un manual para el desarrollo de las habilidades motrices básicas, en el cual se demuestra una gama de juegos y actividades, los cuales podrán ser desarrollados por el profesor de educación general básica en conjunto con los alumnos del nivel básico l. El propósito es aportar juegos y actividades que ayuden a desarrollar patrones de locomoción (carrera y salto) no locomoción (equilibrio y coordinación) y manipulación (lanzamiento y recepción) organizados por semestres, los cuales irán aumentando su complejidad a medida del progreso de las clases, Se le asignará una estrella al nivel mas básico, alcanzando cuatro estrellas el nivel mas complejo,esto debido a que la actividad física en este nivel es fundamental para el desarrollo de sus habilidades motrices, adicionalmente ayuda a preparar su cuerpo para nuevas habilidades más complejas que tendrá que realizar a lo largo de su etapa escolar. En este manual se presentan 72 juegos con sus respectivas ilustraciones para facilitar y otorgar al docente una mejor comprensión de cada una de las actividades a realizar con sus alumnos

Sequence analysis of mutations and translocations across breast cancer subtypes. Nature 486

Breast carcinoma is the leading cause of cancer-related mortality in women worldwide, with an estimated 1.38 million new cases and 458,000 deaths in 2008 alone 13 and MAP3K1 10 , we discovered recurrent mutations in the CBFB transcription factor gene and deletions of its partner RUNX1. Furthermore, we have identified a recurrent MAGI3-AKT3 fusion enriched in triple-negative breast cancer lacking oestrogen and progesterone receptors and ERBB2 expression. The MAGI3-AKT3 fusion leads to constitutive activation of AKT kinase, which is abolished by treatment with an ATPcompetitive AKT small-molecule inhibitor. Breast cancers are classified according to gene-expression subtypes: luminal A, luminal B, Her2-enriched (Her2 is also known as ERBB2), and basal-like 14 . Luminal subtypes are associated with expression of oestrogen and progesterone receptors and differentiated luminal epithelial cell markers. The subtypes differ in genomic complexity, key genetic alterations and clinical prognosis In total, whole-exome sequencing was performed on 103 tumour/ normal pairs, 54 from Mexico and 49 from Vietnam, targeting 189,980 exons comprising 33 megabases (Mb) of the genome and with a median of 85.1% of targeted bases covered at least 30-fold across the sample set. This analysis revealed a total of 4,985 candidate somatic substitutions (see https://confluence.broadinstitute.org/display/CGATools/MuTect for methods and data sets) and insertions/deletions (indels, see https:// confluence.broadinstitute.org/display/CGATools/Indelocator for methods) in the target protein-coding regions and the adjacent splice sites, ranging from 14 to 307 putative events in individual samples (Supplementar