The role of networks to overcome large-scale challenges in tomography: The non-clinical tomography users research network

Our ability to visualize and quantify the internal structures of objects via computed tomography (CT) has fundamentally transformed science. As tomographic tools have become more broadly accessible, researchers across diverse disciplines have embraced the ability to investigate the 3D structure-function relationships of an enormous array of items. Whether studying organismal biology, animal models for human health, iterative manufacturing techniques, experimental medical devices, engineering structures, geological and planetary samples, prehistoric artifacts, or fossilized organisms, computed tomography has led to extensive methodological and basic sciences advances and is now a core element in science, technology, engineering, and mathematics (STEM) research and outreach toolkits. Tomorrow's scientific progress is built upon today's innovations. In our data-rich world, this requires access not only to publications but also to supporting data. Reliance on proprietary technologies, combined with the varied objectives of diverse research groups, has resulted in a fragmented tomography-imaging landscape, one that is functional at the individual lab level yet lacks the standardization needed to support efficient and equitable exchange and reuse of data. Developing standards and pipelines for the creation of new and future data, which can also be applied to existing datasets is a challenge that becomes increasingly difficult as the amount and diversity of legacy data grows. Global networks of CT users have proved an effective approach to addressing this kind of multifaceted challenge across a range of fields. Here we describe ongoing efforts to address barriers to recently proposed FAIR (Findability, Accessibility, Interoperability, Reuse) and open science principles by assembling interested parties from research and education communities, industry, publishers, and data repositories to approach these issues jointly in a focused, efficient, and practical way. By outlining the benefits of networks, generally, and drawing on examples from efforts by the Non-Clinical Tomography Users Research Network (NoCTURN), specifically, we illustrate how standardization of data and metadata for reuse can foster interdisciplinary collaborations and create new opportunities for future-looking, large-scale data initiatives

The role of networks to overcome large-scale challenges in tomography : the non-clinical tomography users research network

Our ability to visualize and quantify the internal structures of objects via computed tomography (CT) has fundamentally transformed science. As tomographic tools have become more broadly accessible, researchers across diverse disciplines have embraced the ability to investigate the 3D structure-function relationships of an enormous array of items. Whether studying organismal biology, animal models for human health, iterative manufacturing techniques, experimental medical devices, engineering structures, geological and planetary samples, prehistoric artifacts, or fossilized organisms, computed tomography has led to extensive methodological and basic sciences advances and is now a core element in science, technology, engineering, and mathematics (STEM) research and outreach toolkits. Tomorrow's scientific progress is built upon today's innovations. In our data-rich world, this requires access not only to publications but also to supporting data. Reliance on proprietary technologies, combined with the varied objectives of diverse research groups, has resulted in a fragmented tomography-imaging landscape, one that is functional at the individual lab level yet lacks the standardization needed to support efficient and equitable exchange and reuse of data. Developing standards and pipelines for the creation of new and future data, which can also be applied to existing datasets is a challenge that becomes increasingly difficult as the amount and diversity of legacy data grows. Global networks of CT users have proved an effective approach to addressing this kind of multifaceted challenge across a range of fields. Here we describe ongoing efforts to address barriers to recently proposed FAIR (Findability, Accessibility, Interoperability, Reuse) and open science principles by assembling interested parties from research and education communities, industry, publishers, and data repositories to approach these issues jointly in a focused, efficient, and practical way. By outlining the benefits of networks, generally, and drawing on examples from efforts by the Non-Clinical Tomography Users Research Network (NoCTURN), specifically, we illustrate how standardization of data and metadata for reuse can foster interdisciplinary collaborations and create new opportunities for future-looking, large-scale data initiatives

Diseño e implementación de sistema de seguimiento 2D para concentradores fotovoltáicos mediante geometría solar

La cantidad de energía captada en sistemas de concentración solar aumenta de entre un 35 y 50% si la radiación solar incide perpendicularmente al área de captación, implicando en un mejor aprovechamiento del recurso solar disponible, las nuevas tecnologías permiten resolver estos retos manteniendo un costo y consumo de energía aceptables. Este artículo presenta el diseño e implementación de un sistema de seguimiento 2D con acción de control en el ángulo de elevación (E) y azimutal (A), basado en los Microcontroladores ATmega2560 y 328P, Reloj de Tiempo Real (RTC, del inglés Real Time Clock), actuador lineal, motor a pasos, la Unidad de Medición Inercial (IMU, del inglés Inertial Measurement Unit) y el Software de instrumentación virtual (NI LabVIEW). El control del sistema es mediante un comparador de ventana que relaciona los ángulos actuales E y A que provienen del IMU con los ángulos de referencia Azimutal (Ar) y de elevación (Er) determinados en base a Geometría Solar (GS) y el RTC, para obtener la acción de control necesaria en los actuadores, con la finalidad de posicionar perpendicularmente el área de captación con la radiación del Sol. Una interfaz de Instrumentación Virtual permite ver el estado del sistema. El diseño mecánico del prototipo se realizó en SolidWorks (programa de dibujo en 3D). El principal aporte en este trabajo es la técnica de control basada en algoritmos de GS, la técnica de sensado de los ángulos E y A, el diseño y construcción del prototipo con tecnologías innovadoras

Anáfora: revista literaria de humanidades

19 páginas ; ilustracionesColección HumanidadesEl segundo número de Anáfora, se reúnen sonetos creados por los estudiantes del cuarto semestre, generados en la materia de Literatura II, como parte del ejercicio creativo a partir de la teoría revisada en clase. Por otro lado, también se integran pinturas creadas por los jóvenes, realizadas en el taller de dibujo y pintura

100 Cartas para Paulo Freire de quienes pretendemos Enseñar

Realizar un texto colectivo como “100 Cartas para Paule Freire de quienes pretendemos Enseñar”, es un desafío al reunir el aprehender desde el sentido profesional de la educación y con el espíritu de transformación, desde la educación como un espacio endógeno de revolución y exógeno a las comunidades y sociedades, en busca de un sentido de identidad. Hoy desde una crítica decolonial, antirracista, feminista y ecologica en la construcción de un sentido real que busque enfrentar el sistema hegemónico y destructivo que se ha impuesto con explotación, sangre y libertades de nuestro pueblo