Informe de suficiencia y competencias desarrolladas en el área de supervisión de planeamiento y control de proyectos en el proyecto “Reparación de espesador de relaves de 50 metros de diámetro en Cuajone”

En el presente informe de trabajo de suficiencia profesional, se expone el desarrollo del proyecto “Servicios de Reparación de Espesador de Ø 54m de Diámetro en Mina Cuajone” (Espesador THK-54). El espesador de relaves THK-54, es de alta densidad, este tipo de espesador es considerado en los procesos mineros modernos como espesadores de alto rendimiento por la cantidad de agua que pueden recuperar para retornar al proceso. Esto ha motivado que diferentes centros metalúrgicos opten por instalar este tipo de Espesador y reemplazar a los espesadores convencionales. En este sentido SPCC (Southern Perú Copper Corporation) construye en el 2017 un nuevo espesador de alto rendimiento de 54 metros de diámetro para reemplazar a sus 03 espesadores convencionales de 131 metros de diámetro denominados espesador 1, 2 y 3. En el 2018, SPCC finaliza la construcción del Nuevo Espesador que no logra poner en servicio por presentar fallas de diseño evidentes ya en la etapa de pruebas con carga. Por esta razón SPCC contrata a IMCO (IMCO SERVICIOS S.A.C) para ejecutar el rediseño planteado por TENOVA que consiste en la reparación y reforzamiento del Espesador bajo el contrato L8-C34- 001. En octubre del 2018, IMCO inicia actividades de construcción electromecánica y pruebas de Comisión y puesta en marcha según los planos y especificaciones técnicas de TENOVA, logrando en marzo del 2019 poner en servicio el Espesador THK-54 después de recibir la conformidad por parte del área de proyectos y operaciones de SPCC

Análisis del comportamiento de BBR en redes 4G

BBR es un nuevo algoritmo de control de congestión desarrollado por Google. A diferencia de los protocolos tradicionales que se basan en la pérdida de paquetes como señal de congestión, BBR estima la capacidad del canal disponible para determinar la cantidad de datos que enviar. BBR trata de mejorar el uso del canal evitando la creación de colas en los enlaces de menor capacidad. En la publicación original de BBR se muestra un mejor rendimiento en topologías estáticas frente a TCP CUBIC. Ante la falta de información acerca de cómo se comporta en entornos móviles, este proyecto trata de evaluar el rendimiento de BBR en redes LTE.BBR is a new congestion control algorithm developed by Google. Instead of using packet loss as congestion signal, like many currently used congestion control algorithms, BBR estimates the available bandwith in bottleneck links in order to determinate its sending rate. It tries to provide high link utilization while avoiding queues creation in bottleneck buffers. The original publication of BBR shows that it can deliver superior performance in static environments compared to CUBIC TCP. In the absence of information about how it behaves in mobile environments, this project tries to evaluate the performance of BBR in LTE networks.BBR Googlek garatutako kongestio kontrol algoritmo berria da. Kongestio seinale bezala paketeen galeran oinarritzen diren ohiko protokoloak ez bezala, BBR-k kanal erabilgarriaren gaitasuna estimatzen du, bidaliko den datu kantitatea zehazteko. BBR kanalaren erabilera hobetzen saiatzen da, gaitasun txikiko loturetan ilaren sorkuntza saihestuz. BBR-ren argitalpen originalak erakusten du, topologia estatikoan, TCP CUBIC bezalako ohiko protokoloen aurrean errendimendu hobeagoa duela. Ingurune mugikorretan BBR-ren portaerari buruzko informazio falta dela eta, proiektu honek, BBR-ren errendimendua LTE sareetan ebaluatzen ahalegintzen da

A unique role for Kv3 voltage-gated potassium channels in starburst amacrine cell signaling in mouse retina.

Direction-selective retinal ganglion cells show an increased activity evoked by light stimuli moving in the preferred direction. This selectivity is governed by direction-selective inhibition from starburst amacrine cells occurring during stimulus movement in the opposite or null direction. To understand the intrinsic membrane properties of starburst cells responsible for direction-selective GABA release, we performed whole-cell recordings from starburst cells in mouse retina. Voltage-clamp recordings revealed prominent voltage-dependent K(+) currents. The currents were mostly blocked by 1 mm TEA, activated rapidly at voltages more positive than -20 mV, and deactivated quickly, properties reminiscent of the currents carried by the Kv3 subfamily of K+ channels. Immunoblots confirmed the presence of Kv3.1 and Kv3.2 proteins in retina and immunohistochemistry revealed their expression in starburst cell somata and dendrites. The Kv3-like current in starburst cells was absent in Kv3.1-Kv3.2 knock-out mice. Current-clamp recordings showed that the fast activation of the Kv3 channels provides a voltage-dependent shunt that limits depolarization of the soma to potentials more positive than -20 mV. This provides a mechanism likely to contribute to the electrical isolation of individual starburst cell dendrites, a property thought essential for direction selectivity. This function of Kv3 channels differs from that in other neurons where they facilitate high-frequency repetitive firing. Moreover, we found a gradient in the intensity of Kv3.1b immunolabeling favoring proximal regions of starburst cells. We hypothesize that this Kv3 channel gradient contributes to the preference for centrifugal signal flow in dendrites underlying direction-selective GABA release from starburst amacrine cell

Análisis del comportamiento de BBR en redes 4G

BBR es un nuevo algoritmo de control de congestión desarrollado por Google. A diferencia de los protocolos tradicionales que se basan en la pérdida de paquetes como señal de congestión, BBR estima la capacidad del canal disponible para determinar la cantidad de datos que enviar. BBR trata de mejorar el uso del canal evitando la creación de colas en los enlaces de menor capacidad. En la publicación original de BBR se muestra un mejor rendimiento en topologías estáticas frente a TCP CUBIC. Ante la falta de información acerca de cómo se comporta en entornos móviles, este proyecto trata de evaluar el rendimiento de BBR en redes LTE.BBR is a new congestion control algorithm developed by Google. Instead of using packet loss as congestion signal, like many currently used congestion control algorithms, BBR estimates the available bandwith in bottleneck links in order to determinate its sending rate. It tries to provide high link utilization while avoiding queues creation in bottleneck buffers. The original publication of BBR shows that it can deliver superior performance in static environments compared to CUBIC TCP. In the absence of information about how it behaves in mobile environments, this project tries to evaluate the performance of BBR in LTE networks.BBR Googlek garatutako kongestio kontrol algoritmo berria da. Kongestio seinale bezala paketeen galeran oinarritzen diren ohiko protokoloak ez bezala, BBR-k kanal erabilgarriaren gaitasuna estimatzen du, bidaliko den datu kantitatea zehazteko. BBR kanalaren erabilera hobetzen saiatzen da, gaitasun txikiko loturetan ilaren sorkuntza saihestuz. BBR-ren argitalpen originalak erakusten du, topologia estatikoan, TCP CUBIC bezalako ohiko protokoloen aurrean errendimendu hobeagoa duela. Ingurune mugikorretan BBR-ren portaerari buruzko informazio falta dela eta, proiektu honek, BBR-ren errendimendua LTE sareetan ebaluatzen ahalegintzen da

Ethnic markers and the emergence of group-specific norms: an experiment

Visible markers are an important factor in social interactions. Some researchers have argued that one of their roles is to promote cooperation, but models designed to address this issue have yielded contradictory results. Here we present an experimental study of the effect of visible markers on the emergence of social norms where human subjects play a binary coordination game. Our results do not show different, marker-dependent behaviors. Instead, in practically all sessions participants achieved a global equilibrium disregarding the markers. Our findings suggest that simple markers may have a limited role in promoting the emergence of group-dependent social norms and call for further research investigating the role of markers in more sophisticated social settings

Ethnic markers and the emergence of group-specific norms

Observable social traits determine how we interact meaningfully in society even in our globalized world. While a popular hypothesis states that observable traits may help promote cooperation, the alternative explanation that they facilitate coordination has gained ground in recent years. Here we explore this possibility and present a model that investigates the role of ethnic markers in coordination games. In particular, we aim to test the role of reinforcement learning as the microscopic mechanism used by the agents to update their strategies in the game. For a wide range of parameters, we observe the emergence of a collective equilibrium in which markers play an assorting role. However, if individuals are too conformist or too greedy, markers fail to shape social interactions. These results extend and complement previous work focused on agent imitation and show that reinforcement learning is a good candidate to explain many instances where ethnic markers influence coordination

Valoración neurológica del fracaso escolar.

Los trastornos del aprendizaje en la infancia y el fracaso escolar que provocan, constituyen un importante problema médico, social y económico en los países desarrollados. En los últimos 25 años el gran número de publicaciones científicas referidas a estos temas da una idea de la importancia de los mismos. En la actualidad, son utilizados indistintamente términos como Síndrome de Disfunción Cerebral Mínima (DCM) y Síndrome de Hiperactividad aunque consideramos que este último es parte o síntoma del primero, y aunque ambos nos parezcan desafortunados prefiriendo el nombre de trastornos del aprendizaje para englobar a estos niños

Known by the company we keep: `Triadic influence' as a proxy for compatibility in social relationships

Networks of social interactions are the substrate upon which civilizations are built. Often, we create new bonds with people that we like or feel that our relationships are damaged through the intervention of third parties. Despite their importance and the huge impact that these processes have in our lives, quantitative scientific understanding of them is still in its infancy, mainly due to the difficulty of collecting large datasets of social networks including individual attributes. In this work, we present a thorough study of real social networks of 13 schools, with more than 3,000 students and 60,000 declared positive and negative relations, including tests for personal traits of all the students. We introduce a metric -- the `triadic influence' -- that measures the influence of nearest-neighbors in the relationships of their contacts. We use neural networks to predict the relationships and to extract the probability that two students are friends or enemies depending on their personal attributes or the triadic influence. We alternatively use a high-dimensional embedding of the network structure to also predict the relationships. Remarkably, the triadic influence (a simple one-dimensional metric) achieves the highest accuracy at predicting the relationship between two students. We postulate that the probabilities extracted from the neural networks -- functions of the triadic influence and the personalities of the students -- control the evolution of real social networks, opening a new avenue for the quantitative study of these systems