Inventario (1999-2018)

El próximo septiembre nuestro plantel cumple cuarenta y seis años de vida, todos ellos llenos de acontecimientos que le han dado sentido a nuestro plantel. Poco a poco el rostro de nuestra querida preparatoria ha cambiado notablemente para emprender su consolidación y credibilidad académica. Sin duda, cada coordinador, encargado del despacho o director imprimió su sello personal en lo que le tocó vivir

DE LOS PRIMEROS AMANECERES DE ABRIL, MES DE LA LECTURA, AL CENTENARIO DE LA BIBLIOTECA UNIVERSITARIA: EL DISCURSO HUMANÍSTICO DE JORGE OLVERA GARCÍA

En esta ocasión, me honro en compartir una parte de un periodo no conocido a profundidad de uno de los más conspicuos egresados del plantel “Nezahualcóyotl”, la querida y “combativa prepa dos”, me refiero al D. en D. Jorge Olvera García, Rector de nuestra Máxima Casa de Estudios, quien ha demostrado el cariño por su prepa con acciones, como la edificación de uno de los mejores campos de fútbol soccer, la instauración del Aula Digital Móvil, la cimentación de una amplia cisterna que nos abastecerá del agua necesaria, la construcción de nuevas aulas, así como la adquisición de laptops y cañones, entre otros aspectos

HORACIO, EL CRONISTA VIAJERO

En su libro sobre la educación de los jóvenes, Rousseau le explica a Émile que para alcanzar la madurez del conocimiento es necesario viajar, pero que del viaje no importan los dos puntos extremos, el de la partida y el del regreso, sino lo que hay en medio de ellos (Rousseau, 1981: 48). Y, ciertamente, en el libro de viaje aprendemos y nos deleitamos, y también es cierto que el viajero ya no es el mismo que vuelve al que partió. La partida es ese deseo subconsciente de ser nómada y el regreso convierte al viajero en escritor, al empeñarse en ordenar, recordar, dejar impreso su viaje: esa ha sido la constante en los viajes realizados por Horacio Ramírez de Alba

Una hojeada al plantel 2, “Nezahualcóyotl”, de la Escuela Preparatoria de la Universidad Autónoma del Estado de México

En este contexto cobra vida La Combativa Prepa Dos, hace cuarenta y siete años. En octubre de 1971 se coloca la primera piedra para construir el edificio en un terreno donado por el Profr. Carlos Hank González, entonces Gobernador Constitucional del Estado de México, siendo Rector de nuestra Máxima Casa de Estudios el Dr. Guillermo Ortiz Garduño

Somos nuestra memoria

Retomo el título del libro Somos nuestra memoria, del neurocientífico español Emilio García García, quien señala: “Somos nuestra memoria, mejor dicho, nuestras memorias. Desde ellas y gracias a ellas percibimos, nos movemos, pensamos, hablamos, nos emocionamos y sentimos, planificamos y proyectamos. Ellas determinan nuestras decisiones e incluso definen nuestra identidad”

Distribution of coat protein and nucleic acid of Plum pox virus (PPV) in seedlings of peach rootstock GF305 and apricot cv. Real Fino

In this work, the in-plant distribution of Plum pox virus (PPV) in seedlings of peach rootstock GF305 and apricot cv. Real Fino was studied. Symptom severity and the optical density with the ELISA-DASI test were determined in the leaves. Occurrence of the virus (coat protein and nucleic acid) in the stems and petioles was analyzed by tissue printing of sections. The in-plant distribution of PPV was very irregular in both species, even in severely infected plants. It was also more erratic in seedlings showing an irregular distribution of symptoms, mainly in apricot. A correlation between occurrence of symptoms and localization of coat protein and nucleic acid was also observed. The irregular distribution of the virus, as regards both coat protein and nucleic acid, has negative implications for PPV resistance evaluation, since it renders virus detection and secure inoculation more difficult

A Simflowny-based high-performance 3D code for the generalized induction equation

In the interior of neutron stars, the induction equation regulates the long-term evolution of the magnetic fields by means of resistivity, Hall dynamics and ambipolar diffusion. Despite the apparent simplicity and compactness of the equation, the dynamics it describes is not trivial and its understanding relies on accurate numerical simulations. While a few works in 2D have reached a mature stage and a consensus on the general dynamics at least for some simple initial data, only few attempts have been performed in 3D, due to the computational costs and the need for a proper numerical treatment of the intrinsic non-linearity of the equation. Here, we carefully analyze the general induction equation, studying its characteristic structure, and we present a new Cartesian 3D code, generated by the user-friendly, publicly available {\em Simflowny} platform. The code uses high-order numerical schemes for the time and spatial discretization, and relies on the highly-scalable {\em SAMRAI} architecture for the adaptive mesh refinement. We present the application of the code to several benchmark tests, showing the high order of convergence and accuracy achieved and the capabilities in terms of magnetic shock resolution and three-dimensionality. This paper paves the way for the applications to a realistic, 3D long-term evolution of neutron stars interior and, possibly, of other astrophysical sources.Comment: 23 pages, 13 figures. In pres

Pobreza y políticas de desarrollo rural en México

La lucha contra la pobreza en lo rural ha dejado de ser prioritaria en algunos países, fruto de una aparente mejoría de sus condi- ciones de vida. El estudio de las políticas de desarrollo rural en México resulta de espe- cial interés, por cuanto este país se sitúa a la vanguardia en el intento de aumentar la coordinación de sus políticas, siendo este objeto de evaluación en este trabajo. A par- tir de la información obtenida con las en- trevistas realizadas en dos rondas a expertos en desarrollo rural – metodología Delphi – , en este trabajo se analiza la desatención de la pobreza en zonas rurales, aportando los expertos sus valoraciones acerca de la efi ca- cia que en la reducción de la pobreza rural están teniendo las políticas implementadas, planteándose el interés de seguir profundi- zando las reformas iniciadas

A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactions

The role of three-dimensional genome organization as a critical regulator of gene expression has become increasingly clear over the last decade. Most of our understanding of this association comes from the study of long range chromatin interaction maps provided by Chromatin Conformation Capture-based techniques, which have greatly improved in recent years. Since these procedures are experimentally laborious and expensive, in silico prediction has emerged as an alternative strategy to generate virtual maps in cell types and conditions for which experimental data of chromatin interactions is not available. Several methods have been based on predictive models trained on one-dimensional (1D) sequencing features, yielding promising results. However, different approaches vary both in the way they model chromatin interactions and in the machine learning-based strategy they rely on, making it challenging to carry out performance comparison of existing methods. In this study, we use publicly available 1D sequencing signals to model cohesin-mediated chromatin interactions in two human cell lines and evaluate the prediction performance of six popular machine learning algorithms: decision trees, random forests, gradient boosting, support vector machines, multi-layer perceptron and deep learning. Our approach accurately predicts long-range interactions and reveals that gradient boosting significantly outperforms the other five methods, yielding accuracies of about 95%. We show that chromatin features in close genomic proximity to the anchors cover most of the predictive information, as has been previously reported. Moreover, we demonstrate that gradient boosting models trained with different subsets of chromatin features, unlike the other methods tested, are able to produce accurate predictions. In this regard, and besides architectural proteins, transcription factors are shown to be highly informative. Our study provides a framework for the systematic prediction of long-range chromatin interactions, identifies gradient boosting as the best suited algorithm for this task and highlights cell-type specific binding of transcription factors at the anchors as important determinants of chromatin wiring mediated by cohesin.This research was funded by grant TIN2015-64776-C3-2-R from the Spanish Government and the European Regional Development FundPeer reviewe