11 research outputs found

    A Silicon Carbide Linear Voltage Regulator for High Temperature Applications

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    Current market demands have pushed the capabilities of silicon to the edge. High temperature and high power applications require a semiconductor device to operate reliably in very harsh environments. This situation has awakened interests in other types of semiconductors, usually with a higher bandgap than silicon\u27s, as the next venue for the fabrication of integrated circuits (IC) and power devices. Silicon Carbide (SiC) has so far proven to be one of the best options in the power devices field. This dissertation presents the first attempt to fabricate a SiC linear voltage regulator. This circuit would provide a power management option for developing SiC processes due to its relatively simple implementation and yet, a performance acceptable to today\u27s systems applications. This document details the challenges faced and methods needed to design and fabricate the circuit as well as measured data corroborating design simulation results

    Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples

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    Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food industry. Recently, near-infrared (NIR) spectroscopy revealed that it is also possible to detect the presence of viruses in animal and vegetal tissues. Here we report a platform based on visible and NIR (VNIR) hyperspectral imaging for non-contact, reagent free detection and quantification of laboratory-engineered viral particles in fluid samples (liquid droplets and dry residue) using both partial least square-discriminant analysis and artificial feed-forward neural networks. The detection was successfully achieved in preparations of phosphate buffered solution and artificial saliva, with an equivalent pixel volume of 4 nL and lowest concentration of 800 TU.mu L-1. This method constitutes an innovative approach that could be potentially used at point of care for rapid mass screening of viral infectious diseases and monitoring of the SARS-CoV- 2 pandemic.This research was funded by grants number COV20-00080 and COV20-00173 of the 2020 Emergency Call for Research Projects about the SARS-CoV-2 virus and the COVID-19 disease of the Institute of Health 'Carlos III', Spanish Ministry of Science and Innovation, and by grant number EQC2019-006240-P of the 2019 Call for Acquisition of Scientific Equipment, FEDER Program, Spanish Ministry of Science and Innovation. This work has been supported by the European Commission through the JRC HUMAINT project. ABR was supported by grant number RTI2018-094465-J funded by the Spanish National Agency of Research. The authors would like to gratefully acknowledge the assistance of the members of the EOD-CBRN Group of the Spanish National Police, whose identities cannot be disclosed, and who are represented here by JMNG. Authors thank continuous support from their institutions

    Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples

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    Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food industry. Recently, near-infrared (NIR) spectroscopy revealed that it is also possible to detect the presence of viruses in animal and vegetal tissues. Here we report a platform based on visible and NIR (VNIR) hyperspectral imaging for non-contact, reagent free detection and quantification of laboratory-engineered viral particles in fluid samples (liquid droplets and dry residue) using both partial least square-discriminant analysis and artificial feed-forward neural networks. The detection was successfully achieved in preparations of phosphate buffered solution and artificial saliva, with an equivalent pixel volume of 4 nL and lowest concentration of 800 TU·μ L−1. This method constitutes an innovative approach that could be potentially used at point of care for rapid mass screening of viral infectious diseases and monitoring of the SARS-CoV-2 pandemic.This research was funded by grants number COV20-00080 and COV20-00173 of the 2020 Emergency Call for Research Projects about the SARS-CoV-2 virus and the COVID-19 disease of the Institute of Health ‘Carlos III’, Spanish Ministry of Science and Innovation, and by grant number EQC2019-006240-P of the 2019 Call for Acquisition of Scientifc Equipment, FEDER Program, Spanish Ministry of Science and Innovation. This work has been supported by the European Commission through the JRC HUMAINT project. ABR was supported by grant number RTI2018-094465-J funded by the Spanish National Agency of Research

    Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept

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    Effective testing is essential to control the coronavirus disease 2019 (COVID-19) transmission. Here we report a-proof-of-concept study on hyperspectral image analysis in the visible and near-infrared range for primary screening at the point-of-care of SARS-CoV-2. We apply spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence to extract information from optical diffuse reflectance measurements from 5 µL fluid samples at pixel, droplet, and patient levels. We discern preparations of engineered lentiviral particles pseudotyped with the spike protein of the SARS-CoV-2 from those with the G protein of the vesicular stomatitis virus in saline solution and artificial saliva. We report a quantitative analysis of 72 samples of nasopharyngeal exudate in a range of SARS-CoV-2 viral loads, and a descriptive study of another 32 fresh human saliva samples. Sensitivity for classification of exudates was 100% with peak specificity of 87.5% for discernment from PCR-negative but symptomatic cases. Proposed technology is reagent-free, fast, and scalable, and could substantially reduce the number of molecular tests currently required for COVID-19 mass screening strategies even in resource-limited settings.This research was funded by Grants Number COV20-00080 and COV20-00173 of the 2020 Emergency Call for Research Projects about the SARS-CoV-2 virus and the COVID-19 disease of the Institute of Health ‘Carlos III’, Spanish Ministry of Science and Innovation, and by Grant Number EQC2019-006240-P funded by MICIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. ABR was supported by Grant Number RTI2018-094465-J-I00 funded by MICIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. This work has been supported by the European Commission through the Joint Research Center (JRC) HUMAINT project

    Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept

    Get PDF
    Effective testing is essential to control the coronavirus disease 2019 (COVID-19) transmission. Here we report a-proof-of-concept study on hyperspectral image analysis in the visible and near-infrared range for primary screening at the point-of-care of SARS-CoV-2. We apply spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence to extract information from optical diffuse reflectance measurements from 5 µL fluid samples at pixel, droplet, and patient levels. We discern preparations of engineered lentiviral particles pseudotyped with the spike protein of the SARS-CoV-2 from those with the G protein of the vesicular stomatitis virus in saline solution and artificial saliva. We report a quantitative analysis of 72 samples of nasopharyngeal exudate in a range of SARS-CoV-2 viral loads, and a descriptive study of another 32 fresh human saliva samples. Sensitivity for classification of exudates was 100% with peak specificity of 87.5% for discernment from PCR-negative but symptomatic cases. Proposed technology is reagent-free, fast, and scalable, and could substantially reduce the number of molecular tests currently required for COVID-19 mass screening strategies even in resource-limited settings

    Ocio e interculturalidad

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    La Universidad Bolivariana (UB), en su continua búsqueda de conocimientos innovadores, relevantes y actuales, viene trabajando con la Universidad Federal de Minas Gerais (UFMG), de Brasil, en el Programa de investigación titulado “Ocio, Tiempo libre y Recreación en Latino América: Desafíos para el siglo XXI / Lazer na América Latina: Desafios para o século XXI”. A partir de este Convenio de Cooperación UB-UFMG es que desde el Grupo de Investigación OTIUM: Lazer, Brasil & América Latina, de la UFMG, se está avanzando en un campo de estudios relativamente nuevo y poco profundizado: la temática del “ocio”. Desde aquí nace este actual número de Polis que presentamos. Es así que en este número de Polis queremos aportar en este proceso de generación de nuevos conocimientos, debates y diálogos, sabiendo que el ocio y la interculturalidad expresan algo de las emergentes identidades y diversidades globales y locales, algo que sin duda debe ser expresado y escuchado

    Ruralidad y campesinado

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    ¿Existe aún el campo? ¿Desapareció el campesinado? ¿Triunfó la expansión del modo de vida urbano y de los urbanistas? ¿Subsiste aún un modo de vida rural? ¿Existe aún una cultura campesina? ¿Cuáles son las tensiones y principales amenazas que recorren el mundo rural latinoamericano? ¿Cuáles son las formas de resistencia desde la identidad campesina e indígena a la marea globalizante? ¿Qué experiencias promisorias y/ o exitosas se están desplegando en el mundo rural? ¿Cómo se ha transformado la ruralidad en las últimas décadas? ¿Cómo se enlaza la producción agraria con la emergencia de territorios intermedios? son algunas de las muchas preguntas que abordamos en este número de Polis
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