Three-dimensional Ising model confined in low-porosity aerogels: a Monte Carlo study

The influence of correlated impurities on the critical behaviour of the 3D Ising model is studied using Monte Carlo simulations. Spins are confined into the pores of simulated aerogels (diffusion limited cluster-cluster aggregation) in order to study the effect of quenched disorder on the critical behaviour of this magnetic system. Finite size scaling is used to estimate critical couplings and exponents. Long-range correlated disorder does not affect critical behavior. Asymptotic exponents differ from those of the pure 3D Ising model (3DIS), but it is impossible, with our precision, to distinguish them from the randomly diluted Ising model (RDIS).Comment: 10 pages, 10 figures. Submitted to Physical Review

La risa: niveles y factores demográficos, en el contexto de la COVID-19: Laughter: demographic levels and factors, in the context of COVID-19

Introduction: The pandemic does not stop, neither does the studies on it; This pandemic produces pain, sadness, despair and deaths, the numbers of which are incalculable. Faced with this difficult and painful situation, laughter raises its flag of hope. Objective: The study aims to describe the levels and demographic factors of laughter, in the context of COVID-19. Methods: The study corresponds to a quantitative, descriptive, cross-sectional approach. The data were obtained through a virtual survey, whose participants were 101, from the three regions. Results: Of the 101 participants, 87 (between 20 and 60 years old) are located in the high level and 14 in the medium level. Similarly, 14 (among single, married, divorced and cohabitants) in the medium level and 87 in the high level. Of the three regions (coast, mountains and jungle), 14 in the medium level and 87 in the high level. On the other hand, 6 men and 8 women are in the medium level, in the high 28 and 59, respectively. In the factor: religion, 14 (among Catholics, Adventists, Evangelicals and others) in the medium level, 87 in the high. According to the factor: educational level (primary, secondary and higher), 14 and 87 are located in the low and high level, respectively. In the family and friends circle, laughter is always experienced: 58.4% and 66.3%, respectively; for respondents it is easier to laugh, always, 54.5% and 66.3%, in the family environment and with friends, respectively. They declared that laughter prevents diseases, strengthens health, prevents covid-19, strengthens the immune system and limits the production of the hormone cortisol (responsible for stress), always 70.3%, 31.7%, 81.2; 31.7%, 71.3% and 83.2%, respectively. Conclusion: In the context of COVID-19, the most significant levels of laughter found in the study are two: medium and high; the most weighted demographic factors are: age, sex, religion, and employment status.Introducción: La pandemia no se detiene, los estudios sobre la misma tampoco; esta pandemia produce dolor, tristeza, desesperación y muertes, cuyos números son incalculables. Ante esta situación difícil y dolorosa, la risa levanta su bandera de esperanza. Objetivo: El estudio tiene el objetivo de describir los niveles y los factores demográficos de la risa, en el contexto la COVID-19. Métodos: El estudio corresponde a un enfoque cuantitativo, de tipo descriptivo, de corte transversal. Los datos sobre los niveles de la risa se obtuvieron mediante una encuesta virtual, cuyos participantes fueron 101, de edades entre 20 y 60 años, quienes participaron voluntariamente, procedentes de las tres regiones del Perú: costa, sierra y selva. Los datos sobre la experiencia de la risa, con misma encuesta, con el tipo Likert: nunca, a veces y siempre. Resultados: De los 101 participantes, 87 (entre 20 y 60 años) presentan una risa en el nivel alto y 14 en el nivel medio. 14 participantes (entre solteros, casados, divorciados y convivientes) revelan una risa en el nivel medio y 87 en el nivel alto. De las tres regiones (costa, sierra y selva), 14 participantes se ubican en el nivel medio y 87 en el nivel alto. Por otro lado, 6 hombres y 8 mujeres practican una risa ubicada en el nivel medio, en el alto 28 y 59, respectivamente. En el factor: religión, 14 (entre católicos, adventistas, evangélicos y otros) revelan una sonrisa en el nivel medio, 87 en el alto. Según el factor: nivel de estudios (primario, secundario y superior), 14 y 87 ubican su risa en el nivel bajo y alto, respectivamente. En el círculo familiar y de los amigos, se experimenta siempre la risa: 58.4% y 66.3%, respectivamente; para los encuestados es más fácil reír, siempre, 54.5% y 66.3%, en el entorno familiar y de los amigos, respectivamente. Declararon que la risa previene las enfermedades, fortalece la salud, evita el covid-19, fortalece el sistema inmunológico y limita la producción de la hormona cortisol (responsable del estrés), siempre 70.3%, 31.7%, 81.2; 31.7%, 71.3% y 83.2%, respectivamente. Conclusión: En el contexto de la COVID-19, los niveles más significativos de la risa encontrados en el estudio son dos: medio y alto; los factores demográficos más ponderados son: edad, sexo, religión y estado laboral

Variation in fine-scale genetic structure and local dispersal patterns between peripheral populations of a South American passerine bird

Indexación: Scopus.The distribution of suitable habitat influences natal and breeding dispersal at small spatial scales, resulting in strong microgeographic genetic structure. Although environmental variation can promote interpopulation differences in dispersal behavior and local spatial patterns, the effects of distinct ecological conditions on within-species variation in dispersal strategies and in fine-scale genetic structure remain poorly understood. We studied local dispersal and fine-scale genetic structure in the thorn-tailed rayadito (Aphrastura spinicauda), a South American bird that breeds along a wide latitudinal gradient. We combine capture-mark-recapture data from eight breeding seasons and molecular genetics to compare two peripheral populations with contrasting environments in Chile: Navarino Island, a continuous and low density habitat, and Fray Jorge National Park, a fragmented, densely populated and more stressful environment. Natal dispersal showed no sex bias in Navarino but was female-biased in the more dense population in Fray Jorge. In the latter, male movements were restricted, and some birds seemed to skip breeding in their first year, suggesting habitat saturation. Breeding dispersal was limited in both populations, with males being more philopatric than females. Spatial genetic autocorrelation analyzes using 13 polymorphic microsatellite loci confirmed the observed dispersal patterns: a fine-scale genetic structure was only detectable for males in Fray Jorge for distances up to 450 m. Furthermore, two-dimensional autocorrelation analyzes and estimates of genetic relatedness indicated that related males tended to be spatially clustered in this population. Our study shows evidence for context-dependent variation in natal dispersal and corresponding local genetic structure in peripheral populations of this bird. It seems likely that the costs of dispersal are higher in the fragmented and higher density environment in Fray Jorge, particularly for males. The observed differences in microgeographic genetic structure for rayaditos might reflect the genetic consequences of population-specific responses to contrasting environmental pressures near the range limits of its distribution.http://onlinelibrary.wiley.com/doi/10.1002/ece3.3342/epd

Conditioning of extreme learning machine for noisy data using heuristic optimization

This article provides a tool that can be used in the exact sciences to obtain good approximations to reality when noisy data is inevitable. Two heuristic optimization algorithms are implemented: Simulated Annealing and Particle Swarming for the determination of the extreme learning machine output weights. The first operates in a large search space and at each iteration it probabilistically decides between staying at its current state or moving to another. The swarm of particles, it optimizes a problem from a population of candidate solutions, moving them throughout the search space according to position and speed. The methodology consists of building data sets around a polynomial function, implementing the heuristic algorithms and comparing the errors with the traditional computation method using the Moore–Penrose inverse. The results show that the heuristic optimization algorithms implemented improve the estimation of the output weights when the input have highly noisy data

Teaching English From the Multiple Intelligences Theory Approach for Bilingualism Development

discoveries to understand the functioning and cognitive process of the brain. The study aims to determine strategies based on multiple intelligences and their relationship with cognitive neuroscience to improve English language learning processes. To achieve this, a theoreticalpractical methodological approach was proposed through the review of bibliographic information from researchers whose studies aim to improve mental processes for learning another language. It is worth highlighting the importance of the results where the teacher’s role is to apply the learning strategies and styles in students to promote new cognitive developments, skills, and motivation, despite the fact that students possess different multiple intelligences. In addition, emotional intelligence is strengthened, and the importance of neuroscience in the context of neuroplasticity for learning English in the classroom is understood. For this purpose, strategies are presented for each intelligence. Furthermore, the bilingualism scale is presented in terms of flexibility with non-linguistic rules, producing an effect on other aspects of human knowledge. Additionally, arguments centered on neuroscience have been raised to indicate how the brain learns and its emotional connections, which contribute to linguistic processing, bringing us closer to a basic understanding of the central nervous system to inquire about the relationships between linguistic elements and mechanisms for learning another language. Keywords: multiple intelligences theory, English language teaching, bilingualism, cognitive neuroscience. Resumen Las Inteligencias Múltiples de Gardner ha evolucionado en las teorías sobre la mente, aportando descubrimientos para comprender el funcionamiento y el proceso cognitivo desde el cerebro; para lo cual, el objetivo es determinar las estrategias basados en las inteligencias múltiples y su relación con la neurociencia cognitiva para mejorar los procesos de aprendizaje del idioma inglés, para ello se planteó un enfoque metodológico teórico – práctico a través de la revisión de información bibliográfica de investigadores cuyos estudios buscan mejorar los procesos mentales para el aprendizaje de otro idioma, cabe destacarla importancia de los resultados donde el rol del profesor es aplicar las estrategias y estilos de aprendizaje en los estudiantes para promover nuevos desarrollos cognitivos, habilidades y motivación a pesar que el estudiante posee inteligencias múltiples distintos, además fortalecer la inteligencia emocional y comprender la importancia de la neurociencia en el contexto de la neuroplasticidad para el aprendizaje del inglés en el aula; para este efecto, se presenta estrategias para cada una de las inteligencias, asimismo la escala del bilingüismo en la flexibilidad a la hora de normas no necesariamente lingüísticas, esto produce un efecto sobre otros aspectos del conocimiento humano, además se ha topado argumentos centrados en la neurociencia para indicar como aprende el cerebro y sus conexiones emocionales, mismos que contribuyen al procesamiento lingüístico acercándonos a un conocimiento básico del sistema nervioso central para indagar sobre las relaciones entre los elementos lingüísticos y los mecanismos de aprender otro idioma. Palabras Clave: Teoría de las inteligencias Múltiples, enseñanza del inglés, bilingüismo, neurociencias cognitivas

Extreme learning machine adapted to noise based on optimization algorithms

The extreme learning machine for neural networks of feedforward of a single hidden layer randomly assigns the weights of entry and analytically determines the weights the output by means the Moore-Penrose inverse, this algorithm tends to provide an extremely fast learning speed preserving the adjustment levels achieved by classifiers such as multilayer perception and support vector machine. However, the Moore-Penrose inverse loses precision when using data with additive noise in training. That is why in this paper a method to robustness of extreme learning machine to additive noise proposed. The method consists in computing the weights of the output layer using non-linear optimization algorithms without restrictions. Tests are performed with the gradient descent optimization algorithm and with the Levenberg-Marquardt algorithm. From the implementation it is observed that through the use of these algorithms, smaller errors are achieved than those obtained with the Moore-Penrose inverse

The last reason of the judicial proof. A philosophical approach

El presente artículo indaga por los fundamentos últimos de la prueba judicial desde la perspectiva del realismo jurídico clásico. Pone en evidencia la necesidad primordial de un sustrato ontológico, lógico y metodológico sustancialista, en el sentido de objetivo, de la prueba judicial, al mismo tiempo que hace manifiestas las antinomias provocadas por los sistemas probatorios y procesales constructivistas a la ciencia del derecho y al propio estatuto epistemológico de la prueba judicial, lo que ha desembocado en un olvido, consciente o inconsciente, del fin último del quehacer del derecho: el acto de justicia.This paper deals with the basic essentials of legal evidence from the perspective of legal realism factor. It underlines the paramount need for a substrate ontological, logical and methodological substantial, objective meaning of legal evidence. At the same time, which makes manifest the antinomies caused by constructivist evidentiary and procedural systems to the science of law and at the same epistemological status of legal evidence. What has led to an oversight, consciously or unconsciously, the ultimate goal of the task of law: the act of justice

Determinantes del comercio intra-industrial en el Grupo de los Tres

El comercio intra-industrial regional permite una menor dependencia del sector primario y facilita el proceso de integración comercial al reducir los costos de ajuste en la estructura productiva. En este trabajo se analizan los determinantes del comercio intra-industrial en el Grupo de los Tres. El documento se divide en cuatro partes. Primero, se ofrece una explicación teórica del comercio intra-industrial. Segundo, se presenta una descripción de la estructura comercial del Grupo de los Tres. Tercero, se muestra la evolución y los niveles bilaterales del comercio intra-industrial entre sus miembros. Y por último, se explican los determinantes fundamentales que lo originan, mediante la utilización de un modelo econométrico.comercio intra industrial, integración regional, Grupo de los Tres

Determinantes de la actividad innovadora en la industria manufacturera colombiana

Se presenta una revisión de los principales trabajos que analizan, teórica y empíricamente los determinantes de la inversión de las firmas en innovación. Se describen los resultados para la industria manufacturera colombiana, de un modelo Tobit, cuya estimación se lleva a cabo por medio del método CLAD propuesto por Powell (1984). Se concluye que el tamaño de las empresas, la participación del capital extranjero y las bases de conocimiento de las firmas son las principales variables explicativas.Innovación, Investigación y Desarrollo, Economía del Conocimiento, Estimación CLAD. Classification JEL: D20; L60; L22.