As startups no contexto da organização capitalista financeira e as subjetividades empreendedoras / Startups in the context of financial capitalist organization and entrepreneurial subjectivities / Startups en el contexto de la organización capitalista financiera y subjetividades emprendedoras

As startups são empresas que apresentam modelos de negócios marcados pela inovação, rapidez, flexibilidade e alta capacidade de adaptação aos mercados. Atuando em diferentes setores socioeconômicos, elas prometem criar e transformar produtos e serviços. A emergência e disseminação dessas empresas ocorrem em um momento histórico de mudanças iniciadas a partir de 1970 e marcadas pelas crises geradas com o esgotamento do paradigma da sociedade urbano industrial. No Brasil, o número desse modelo de negócio apresentou uma expansão expressiva, alcançando a marca de 13.374 nos últimos cinco anos. Atento a esse cenário, o objetivo desta pesquisa consistiu em compreender como sujeitos, grupos e instituições atribuem sentidos à experiência de trabalho nas chamadas startups. Na parte teórica, as condições sociais e econômicas que possibilitaram a emergência e disseminação das startups são analisadas em uma perspectiva crítica. A parte empírica, por sua vez, apresenta depoimentos de empreendedores relatando o contexto geral de atuação nas startups. Ao final deste artigo, conclui-se que há uma instrumentalização capitalística de componentes subjetivos específicos selecionados e colocados em circulação para fortalecer o modo de produção capitalista financeirizado.(AU)

Startups are companies that have business models characterized by innovation, speed, flexibility, and a high capacity to adapt to markets. Operating in different socioeconomic sectors, they promise to create and transform products and services. The emergence and dissemination of these companies occur at a historical moment of changes that began from 1970 and are marked by the crises generated by the exhaustion of the paradigm of industrial urban society. In Brazil, the number of businesses in this model showed a significant expansion, reaching 13,374 companies in the last five years. Attentive to this scenario, the objective of this research was to understand how subjects, groups, and institutions attribute meanings to the work experience in so-called startups. In the theoretical part, the social and economic conditions that enabled the emergence and dissemination of startups are analyzed in a critical perspective. The empirical part presents entrepreneurs reporting the general context of action in startups. At the end of this article, it is concluded that there is a capitalistic instrumentalization of specific subjective components that are selected and put into circulation to strengthen the financed capitalist production.(AU)

Las startups son empresas que tienen modelos de negocio marcados por la innovación, la velocidad, la flexibilidad y una alta capacidad de adaptación a los mercados. Desde diferentes sectores socioeconómicos, las startups prometen crear y transformar productos y servicios. La aparición y difusión de estas empresas se produce en un momento histórico de cambios que comenzó a partir de 1970 y que está marcado por crisis generadas por el agotamiento del paradigma de la sociedad urbana industrial. En Brasil, estas empresas se expandieron significativamente alcanzando la marca de 13.374 empresas en los últimos cinco años. En este escenario, el objetivo de esta investigación fue entender cómo los sujetos, grupos e instituciones atribuyen significados a la experiencia laboral en las startups. En la parte teórica, se analizan las condiciones sociales y económicas que permitieron el surgimiento y la difusión de las startups en una perspectiva crítica. La parte empírica presenta testimonios de emprendedores que informan sobre el trabajo en startups. La investigación concluye que hay una instrumentalización capitalista de componentes subjetivos específicos que se seleccionan y ponen en circulación para fortalecer el modo de producción capitalista financiero.(AU)

Gestión de información en procesos académicos y asistenciales a través de la nube Infomed Santiago / Information management in academic and assistance processes through the cloud Infomed Santiago

Introducción: La gestión de información agiliza los procesos en diferentes ambientes laborales, para lo cual se emplean sistemas capaces de reunir, organizar y vincular la información almacenada. La nube se basa en tecnologías existentes, tales como virtualización y servicios web; constituye un hito informático y se adapta a diversos escenarios y contextos. Objetivo: Contribuir a la gestión de información relacionada con las bases de datos de la reacción en cadena de la polimerasa y los procesos de acreditación en la Universidad de Ciencias Médicas de Santiago de Cuba a través de la nube Infomed Santiago. Métodos: Se realizó una investigación aplicada de desarrollo tecnológico en el Centro Provincial de Información de Ciencias Médicas, la Universidad de Ciencias Médicas y el Centro Provincial de Higiene, Epidemiología y Microbiología de Santiago de Cuba, desde junio hasta diciembre del 2021. Se aplicaron encuestas a 19 profesionales del sector, quienes laboraban directamente en la gestión de información relacionada con las bases de datos antes citadas. Resultados: Los 19 encuestados (100,0 %) afirmaron que utilizaban el correo electrónico, el chat integrado, la nube y otras facilidades que esta herramienta ofrece para almacenar y compartir información. Conclusiones: La nube permitió la gestión de información relacionada con los procesos asistenciales y académicos durante el periodo más crítico de la COVID-19.

Introduction: The information management speeds up the processes in different labor atmospheres, for which systems able to gather, organize and link the stored information are used. The cloud is based on existent technologies, such as virtualization and web services; it constitutes a computer landmark and it is adapted to diverse scenarios and contexts. Objective: To contribute the information management related to the databases of the polymerase chain reaction and the accreditation processes in the University of Medical Sciences from Santiago de Cuba through the cloud Infomed Santiago. Methods: An applied investigation of technological development was carried out in the Provincial Information Center of Medical Sciences, the University of Medical Sciences and the Provincial Center of Hygiene, Epidemiology and Microbiology in Santiago de Cuba, from June to December, 2021. Surveys were applied to 19 professionals of the sector who worked directly in the administration of information related to the databases mentioned. Results: The 19 professionals interviewed (100.0 %) affirmed that they used the electronic mail, the integrated chat, the cloud and other facilities that this tool offers to store and share information. Conclusions: The cloud allowed the information management related to the assistance and academic processes during the most critical period of COVID-19.

Internet de las cosas en el ámbito de la atención médica: tendencias y desafíos / Internet of Things in the Field of Health Care: Trends and Challenges

La internet de las cosas ha mantenido un crecimiento continuo en los últimos años. Las potencialidades de uso que muestra en diferentes campos han sido ampliamente documentadas. Su utilización efectiva en el campo de la salud puede traer consigo mejoras en la eficiencia de los tratamientos médicos, prevenir situaciones de riesgo, ayudar a elevar la calidad del servicio y proporcionar soporte a la toma de decisiones. La presente revisión profundiza en aspectos medulares de su utilización con el objetivo de explorar las principales tendencias y desafíos relacionados con la creciente utilización de la internet de las cosas en la salud, prestando mayor atención a los aspectos relacionados con las arquitecturas utilizadas para el despliegue de sistemas de internet de las cosas en ese ámbito, el manejo de la seguridad de estos sistemas y las herramientas para el apoyo a la toma de decisiones empleadas. Mediante el análisis documental se logra mostrar las principales características de estos sistemas, así como su arquitectura, herramientas utilizadas para la gestión de los datos capturados y mecanismos de seguridad. La utilización de la internet de las cosas en el campo de la salud tiene gran impacto, mejorando la vida de millones de personas en todo el mundo y brindando grandes oportunidades para el desarrollo de sistemas inteligentes de salud(AU)

The internet of things has maintained continuous growth in recent years. The potentialities of use that it shows in different fields have been widely documented. Its effective use in the field of health can bring improvements in the efficiency of medical treatments, prevention of risky situations, help raising the quality of service and provide support for decision-making. The present review explores into core aspects of its use in order to analyze trends, challenges and strengths. Document analysis was used to show the main characteristics of these systems, as well as their architecture, tools used for the management of the captured data and security mechanisms. The use of the internet of things in the health field has a great impact, improving the lives of millions of people around the world and providing great opportunities for the development of intelligent health systems(AU)

Design and Development of Cloud Platform of Emergency COVID-19 Nucleic Acid Detection / 中国医疗器械杂志

According to the characteristics of short time and large amount of samples for out of hospital emergency nucleic acid detection, this study introduces an out of hospital emergency nucleic acid detection cloud platform system, which realizes the functions of rapid identification of the detected person and one-to-one correspondence with the samples, and real-time upload of the detection results to Zhejiang Government service network for quick viewing and statistics, so as to complete the task of national nucleic acid screening efficiently and accurately that we must provide information support.

Acupoint selection rules of post-stroke cognitive impairment treated with acupuncture based on ancient and modern medical record cloud platform / 中国针灸

OBJECTIVE@#To analyze the acupoint selection rules of post-stroke cognitive impairment (PSCI) treated with acupuncture by ancient and modern medical record cloud platform (V1.5).@*METHODS@#The published randomized controlled trial (RCT) literature of PSCI treated with acupuncture was retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Cochrane Library and Web of Science, and the data was extracted to establish prescription database. The ancient and modern medical record cloud platform (V1.5) was used to analyze the data.@*RESULTS@#A total of 185 articles was included, involving 91 acupoints, the total using frequency was 1174 times. The top 5 acupoints in frequency of PSCI treated with acupuncture were Baihui (GV 20, 151 times), Shenting (GV 24, 97 times), Sishencong (EX-HN 1, 83 times), Neiguan (PC 6, 69 times) and Sanyinjiao (SP 6, 64 times); the most involved meridian was the governor vessel, and the generally used acupoints were mainly distributed in the head, face and neck. The top 5 acupoint combinations in frequency were Baihui (GV 20)-Shenting (GV 24, 89 times), Baihui (GV 20)-Sishencong (EX-HN 1, 79 times), Baihui (GV 20)-Neiguan (PC 6, 59 times), Baihui (GV 20)-Sanyinjiao (SP 6, 56 times) and Baihui (GV 20)-Zusanli (ST 36, 51 times). The acupoint combination with the strongest association was Shenting (GV 24)→Baihui (GV 20). There were 6 acupoint cluster groups according to the cluster analysis, and the main core prescription was Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6).@*CONCLUSION@#Acupoints on the governor vessel, and distributed in head, face and neck are the main acupoints for PSCI treated with acupuncture, Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6) can be used as the main acupoints, but it is still necessary to combine with syndrome differentiation.

The application mode of athletes in the calculation of cloud motion capture technology in football / Modo de aplicação de cálculo da tecnologia de captura de movimentos na nuvem no futebol / Modo de aplicación de los jugadores en el cálculo de la tecnología de captura de movimiento en la nube de fútbol

ABSTRACT Motion capture is a common problem in sports. It is mainly used to measure and capture running distance in football matches. Use of cloud computing motion capture algorithm in football running distance test, for lack of cloud computing algorithm using motion capture in the application. Data are obtained by experiment to verify the effectiveness and feasibility of the improved cloud computing motion capture algorithm in running distance in football. The final conclusion is that, compared with the original cloud computing motion capture algorithm, the optimized cloud computing motion capture algorithm can significantly reduce the number of cycles in the test of football running distance.

RESUMO A captura de movimento é um problema comum nos esportes. É usado principalmente para medir e capturar a distância de corrida em jogos de futebol. Este estudo aborda o uso do algoritmo de captura de movimento por computação em nuvem no teste de distância de corrida de futebol, por falta do algoritmo de computação em nuvem usando a captura de movimento na aplicação. Os dados são obtidos por experimento para verificar a eficácia e viabilidade do algoritmo melhorado de captura de movimento por computação em nuvem no teste de distância de corrida no futebol. A conclusão final é que, em comparação com o algoritmo original de captura de movimento por computação em nuvem, o algoritmo otimizado de captura de movimento por computação em nuvem pode reduzir significativamente o número de ciclos no teste de distância de corrida no futebol.

RESUMEN La captura de movimiento es un problema común en los deportes. Es usado principalmente para medir y capturar la distancia de corrida en juegos de fútbol. Este estudio aborda el uso del algoritmo de captura de movimiento por computación en nube en el test de distancia de corrida de fútbol, por falta del algoritmo de computación en nube usando la captura de movimiento en la aplicación. Los datos son obtenidos por experimento para verificar la eficacia y viabilidad del algoritmo mejorado de captura de movimiento por computación en nube en el test de distancia de corrida en el fútbol. La conclusión final es que, en comparación con el algoritmo original de captura de movimiento por computación en nube, el algoritmo optimizado de captura de movimiento por computación en nube puede reducir significativamente el número de ciclos en el test de distancia de corrida en el fútbol.

Review of Medical Drainage Devices and Systems / 中国医疗器械杂志

In clinical medicine, patient drainage monitoring and early warning have received extensive attention from the clinical medical community since they reflect the real-time status of patients. Firstly, this study points out the shortcomings of current medical drainage technology combined with actual clinical applications and proposes a detailed analysis of the current medical drainage monitoring technology and medical drainage equipment. Secondly, this study focuses on cloud medical, intelligent medical and other digital intelligent medical development. Combined with advanced artificial intelligence technology and cloud data processing technology, this study is proposed to realize the clinical promotion, and popularization of medical drainage technology and promote the medical industry's attention to the realization of comprehensive and intelligent drainage monitoring.

Comparative Analysis of Three Massive Medical Image Storage Technologies / 中国医疗器械杂志

Nowadays, the massive medical data have already influenced the information construction in medical institutes, so it is not enough to solely rely on traditional local storage system to solve the problems like the read/write speed, visualization, and economy brought about by the massive data. Furthermore, various medical cloud services have been developed at home and abroad that patients' medical data can be shared through all medical institutes on the cloud, which makes a higher demand on the transmission speed of the medical data. This article analyzes from multiple aspects like high availability and costs by performing a medical image transmission speed test on the three mainstream storage technologies to provide an optional storage system for future medical image big data in the access process. The experimental result shows that it can be found that in the process of accessing medical image big data, the access speed and performance of object storage system is better than those of the existing local storage systems. However, with comprehensive consideration, it is recommended that the distributed file storage system like HDFS be the first choice for the storage system of the medical images.

Validation of an overnight wireless high-resolution oximeter plus cloud-based algorithm for the diagnosis of obstructive sleep apnea

OBJECTIVES: Obstructive sleep apnea (OSA) is a common but largely underdiagnosed condition. This study aimed to test the hypothesis that the oxygen desaturation index (ODI) obtained using a wireless high-resolution oximeter with a built-in accelerometer linked to a smartphone with automated cloud analysis, Overnight Digital Monitoring (ODM), is a reliable method for the diagnosis of OSA. METHODS: Consecutive patients referred to the sleep laboratory with suspected OSA underwent in-laboratory polysomnography (PSG) and simultaneous ODM. The PSG apnea-hypopnea index (AHI) was analyzed using the criteria recommended and accepted by the American Academy of Sleep Medicine (AASM) for the definition of hypopnea: arousal or ≥3% O2 desaturation (PSG-AHI3%) and ≥4% O2 desaturation (PSG-AHI4%), respectively. The results of PSG and ODM were compared by drawing parallels between the PSG-AHI3% and PSG-AHI4% with ODM-ODI3% and ODM-ODI4%, respectively. Bland-Altman plots, intraclass correlation, receiver operating characteristics (ROC) and area under the curve (AUC) analyses were conducted for statistical evaluation. ClinicalTrial.gov: NCT03526133. RESULTS: This study included 304 participants (men: 55%; age: 55±14 years; body mass index: 30.9±5.7 kg/m2; PSG-AHI3%: 35.3±30.1/h, ODM-ODI3%: 30.3±25.9/h). The variability in the AASM scoring bias (PSG-AHI3% vs PSG-AHI4%) was significantly higher than that for PSG-AHI3% vs ODM-ODI3% (3%) and PSG-AHI4% vs ODM-ODI4% (4%) (9.7, 5.0, and 2.9/h, respectively; p<0.001). The limits of agreement (2±SD, derived from the Bland-Altman plot) of AASM scoring variability were also within the same range for (PSG vs ODM) 3% and 4% variability: 18.9, 21.6, and 16.5/h, respectively. The intraclass correlation/AUC for AASM scoring variability and PSG vs ODM 3% or 4% variability were also within the same range (0.944/0.977 and 0.953/0.955 or 0.971/0.964, respectively). CONCLUSION: Our results showed that ODM is a simple and accurate method for the diagnosis of OSA.

Development of Hospital Medical Instrumentation Management System Based on Cloud Computing / 中国医疗器械杂志

In order to improve the efficiency of medical instrumentation management in hospital, reduce the management cost and save the human cost, this study analyzes the problems in the traditional hospital medical instrumentation management system, and develops a new system based on cloud computing. Through the characters of the SaaS Service Platform, the system improves the flow efficiency of the medical instrumentation in hospital, saves deployment and operating system costs, and improves the people's work efficiency.

Exploration and Minging of Large Medical Equipment Operation Data under Internet of Things / 中国医疗器械杂志

With the technology development in Internet of Things (IoT) area, it is good to try to use IoT and cloud computing technologies to improve the efficiency of medical equipment management. This article described using CT as sample to do the data capture and data analysis with the IoT technology. The positive result got shows the benefit of the exploring.

Research and Implementation of Vital Signs Monitoring System Based on Cloud Platform / 中国医疗器械杂志

Through analyzing the existing problems in the current mode, the vital signs monitoring information system based on cloud platform is designed and developed. The system's aim is to assist nurse carry out vital signs nursing work effectively and accurately. The system collects, uploads and analyzes patient's vital signs data by PDA which connecting medical inspection equipments. Clinical application proved that the system can effectively improve the quality and efficiency of medical care and may reduce medical expenses. It is alse an important practice result to build a medical cloud platform.

Recent Patient Health Monitoring Platforms Incorporating Internet of Things-Enabled Smart Devices / 대한배뇨장애요실금학회지

Synergistic integration of the Internet of Things (IoT), cloud computing, and big data technologies in healthcare have led to the notion of “smart health.” Smart health is an emerging concept that refers to the provision of healthcare services for prevention, diagnosis, treatment, and follow-up management at any time or any place by connecting information technologies and healthcare. As a significant breakthrough in smart healthcare development, IoT-enabled smart devices allow medical centers to carry out preventive care, diagnosis, and treatment more competently. This review focuses on recently developed patient health monitoring platforms based on IoT-enabled smart devices that can collect real-time patient data and transfer information for assessment by healthcare providers, including doctors, hospitals, and clinics, or for self-management. We aimed to summarize the available information about recently approved devices and state-of-the-art developments through a comprehensive, systematic literature review. In this review, we also discuss possible future directions for the integration of cloud computing and blockchain, which may offer unprecedented breakthroughs in on-demand medical services. The combination of IoT with real-time, remote patient monitoring empowers patients to assert more control over their care, thereby allowing them to actively monitor their particular health conditions.

Mapeamento de hotspots de transmissão de malária utilizando geolocalização de pacientes / Mapping hotspots of malaria transmission using patients geolocation data

A identificação de focos de transmissão pode ser de grande utilidade no controle da malária. Por esse motivo, hospitais em regiões endêmicas buscam saber os locais que foram visitados anteriormente por pacientes. No entanto, tais informações, obtidas através de questionários fornecidos aos pacientes, são geralmente vagas e muitas vezes imprecisas. Isto torna o processo manual, lento e de pouca valia em estudos epidemiológicos de larga escala. Baseando-se no fato de que uma parcela significativa da população possui celulares com GPS, o objetivo deste projeto é melhorar a acurácia, organização e dinâmica do processo de coleta de dados de geolocalização de pacientes infectados. Um sistema (https://sipos.fcf.usp.br) foi desenvolvido para que pacientes que chegam aos hospitais possam, sob consentimento voluntário, fornecer os dados de GPS dos seus celulares. Os dados dos usuários, que são tratados de forma anônima, são automaticamente processados e armazenados de forma segura. Através do sistema SiPoS Explorer, epidemiologistas e especialistas em saúde pública podem explorar e analisar os dados de geolocalização, permitindo, desta forma, que regiões vulneráveis sejam priorizadas durante campanhas de controle

The identification of regions with high rates of infection can be of great use in the control of malaria. For this reason, hospitals in endemic regions seek to know the places previously visited by patients. However, such information, obtained through questionnaires provided to patients, is usually vague, inaccurate and not integrated into databases. This makes the process manual, slow and of little value in large-scale epidemiological studies. Based on the fact that a significant portion of the population has smartphones equipped with GPS, this project aims to improve the accuracy and organization of the process of collecting geolocation data from infected patients. The Sickness Positioning System (https://sipos.fcf.usp.br) was developed so that patients who arrive at hospitals can, with voluntary consent, provide the GPS data collected by their smartphones. User data, which is handled anonymously, is automatically processed and securely stored. Through the SiPoS Explorer system (https://sipos.fcf.usp.br/explorer), epidemiologists and public health experts can explore and analyze geolocation data, thereby allowing vulnerable regions to be prioritized during control campaigns

Anatomicis network: una plataforma de software educativa basada en la nube para mejorar la enseñanza de la anatomía en la educación médica / Anatomicis network: a cloud-based educational software platformto enhance anatomy teaching in medical education

En este artículo, se describe una propuesta novedosa de plataforma de software educativa para mejorar la enseñanza de la anatomía en la educación médica. Con el fin de determinar la utilidad y el impacto de esta plataforma, se desarrollo una experiencia inter institucional entre los años 2016 y 2017, el cual involucró a las Universidades de Antofagasta, Playa Ancha, Austral y Católica de Chile. Los departamentos de anatomía que participaron en esta experiencia utilizaron la plataforma de software educativa para acceder a imágenes anatómicas 2D y 3D, videos y evaluaciones teórico prácticas multimodales en línea, pudiendo realizar con sus estudiantes pruebas de usabilidad. Este proyecto pretende aportar a la enseñanza de la anatomía en los diferentes departamentos de anatomía a lo largo del país.

In this article, we describe a novel proposal of an educational software platform to enhance the anatomy teaching in medical education. In order to determine the usefulness and impact of this platform, between 2016 and 2017, an inter-institutional experience was developed, which included the Universities of Antofagasta, Playa Ancha, Austral and Católica de Chile. The participation of anatomy departments in this experience, used the educational software platform to access 2D and 3D anatomical images and online multimodal practical-theoretical evaluations, being able to perform usability tests with their students. This project aims to improve teaching in the different anatomy departments throughout the country.

Cost-Effective Mobile-Based Healthcare System for Managing Total Joint Arthroplasty Follow-Up / 대한의료정보학회지

OBJECTIVES: Long-term follow-up care after total joint arthroplasty is essential to evaluate hip and knee arthroplasty outcomes, to provide information to physicians and improve arthroplasty performance, and to improve patients' health condition. In this paper, we aim to improve the communication between arthroplasty patients and physicians and to reduce the cost of follow-up controls based on mobile application technologies and cloud computing. METHODS: We propose a mobile-based healthcare system that provides cost-effective follow-up controls for primary arthroplasty patients through questions about symptoms in the replaced joint, questionnaires (WOMAC and SF-36v2) and the radiological examination of knee or hip joint. We also perform a cost analysis for a set of 423 patients that were treated in the University Clinic for Orthopedics in Essen-Werden. RESULTS: The estimation of healthcare costs shows significant cost savings (a reduction of 63.67% for readmission rate 5%) in both the University Clinic for Orthopedics in Essen-Werden and the state of North Rhine-Westphalia when the mobile-based healthcare system is applied. CONCLUSIONS: We propose a mHealth system to reduce the cost of follow-up assessments of arthroplasty patients through evaluation of diagnosis, self-monitoring, and regular review of their health status.

Big Data e Nuvens Computacionais: Aplicações em Saúde Pública e Genômica / Big data and cloud computing: Applications in Public Health and Genomics / Big Data y Cloud Computing: Aplicaciones en Salud Pública y Genómica

Big Data é um termo utilizado para descrever conjuntos de dados cuja captura, armazenamento, distribuição e análise requerem métodos e tecnologias avançadas devido a qualquer combinação de seu tamanho (volume), a frequência de atualização (velocidade) e diversidade (heterogeneidade). Este artigo apresenta uma revisão bibliográfica sobre aplicações de Big Data em saúde pública e em genômica. São descritos diversos exemplos, e alguns desafios tecnológicos relacionados com a análise destes dados são identificados. Também é discutida a utilização de nuvens computacionais no processamento de Big Data. No nosso ponto de vista, a nuvem computacional é uma plataforma adequada para o processamento de grandes volumes de dados, e pode ser usada também em diversas aplicações relacionadas à saúde pública e genômica. Diversos trabalhos disponíveis na literatura e citados neste artigo corroboram esta visão.

Big Data is a term used to describe data sets whose capture, storage, distribution and analysis require advanced methods and technologies due to any combination of its size (volume), the update frequency (speed) and diversity (heterogeneity). This paper presents a literature review of Big Data applications in public health and genomics. Several examples are described, and some technological challenges related to the analysis of these data are identified. The use of computational clouds for Big Data processing is also discussed in this paper. In our view, the cloud is an appropriate platform for the processing of large volumes of data, and it can be used in several applications related to public health and genomics. Several studies available in the literature and cited in this paper corroborate this view.

Big Data es un término usado para describir conjuntos de datos cuya captura, almacenamiento, distribución y análisis requieren métodos y tecnologías avanzadas, debido a una combinación de su tamaño (volumen), la frecuencia de actualización (velocidad) y la diversidad (heterogeneidad). Este artículo presenta una revisión de la literatura de aplicaciones Big Data en la salud pública y la genómica. Se describen varios ejemplos, y algunos de los desafíos tecnológicos relacionados con el análisis de estos datos se identifica. También discute es el uso de nubes computacionales en el procesamiento de grandes volúmenes de datos. En nuestra opinión, la plataforma de computación en la nube es adecuado para el procesamiento de grandes volúmenes de datos, y también puede ser utilizado en diversas aplicaciones relacionadas con la salud pública y la genómica. Varios estudios disponibles en la literatura y citados en este artículo corroboran esta opinión.

A retrotransposição de mRNAs como fator de variabilidade genética no genoma humano e de outros primatas / The retrotransposition of mRNAs as a factor of genetic variability in the human and other primates genomes

Duplicação genica é uma das principais forças levando a evolução dos genomas eucarioto. O impacto de duplicações gênicas/genômicas vem sendo investigado a muito tempo em humanos e outros primatas. Um segundo mecanismo de duplicação gênica, a retrotransposição baseada em RNA maduros, vem sendo menos estudada devido ao seu potencial menor de gerar cópias funcionais. No entanto, recentemente, publicações descreveram retrocópias funcionais em humanos, roedores e mosca de fruta. Nesta tese, para investigar sobre retrocópias causando variabilidade genética no genoma de primatas, nós desenvolvemos a implementamos os métodos para detectar estas inserções. Utilizando nove genomas e transcriptomas publicamente disponíveis (sete primatas e dois roedores) nós confirmamos um número similar, porém, com origem independente, de retrocópias em primatas e roedores. Nós também encontramos um enriquecimento de retrocópias no genoma de Platyrrhini, possivelmente explicado pela expansão de L1PA7 e L1P3 nestes genomas. Posteriormente, nós analisamos a ortologia de retrocópias no genoma de primatas e encontramos 127 eventos específicos à linhagem humana. Nós também exploramos dados do projeto 1000 Genomes para detectar retrocópias polimórficas (retroCNVs germinativos) e encontramos 17 eventos, presentes no genoma referência humano, mas ausentes em mais de um indivíduo. Similarmente, nós investigamos novas retroduplicações de mRNAs no genoma humano, detectando 21 eventos ausentes do genoma referência. Finalmente, investigamos a existência de retroCNVs somáticos e descrevemos sete possíveis retrocópias somáticas. Apesar de sua possível insignificância, nós encontramos que algumas retrocópias compartilhadas entre todos os primatas, espécie específicas, e polimórficas podem ser expressas per se ou como transcritos quiméricos com genes hospedeiros. Sobretudo, nós encontramos que retrocópias são um fator importante da variabilidade genética inter-espécie, intra-espécie e intra-indivíduo e podem estar influenciando a evolução de mamíferos ao criar reservatórios de duplicações potencialmente funcionais

Gene duplication is a major driving force of evolution in eukaryotic genome. The impact of gene/genomic duplication has long been investigated in human and other primates. A second mechanism of gene duplication, retrotransposition, which is based on mature RNA, has been traditionally less studied due to their lower potential to generate functional copies. Recently, however, publications described functional retrocopies in humans, murines and drosophila. Here, to gain insights of the genetic variability arising from retrocopies on primate genomes, we developed and implemented the methods to detect these insertions. Using nine publicly available reference genomes and transcriptomes (seven primates and two rodents) we described a similar number independently arisen retrocopies in primates and rodents. We also found an enrichment of retrocopies in Platyrhinni genomes, putatively explained by the expansion of L1PA7 and L1P3 in these genomes. Next, we evaluated the orthology of retrocopies in primate genomes and found 127 events specific to human lineage. We also explored 1000 Genomes Project data to detect polymorphic events (germinative retroCNVs) on human populations and found 17 events, present on the reference genome, absent in more than one individual. Conversely, we also investigated new insertions of mRNA retroduplications in the human genome, detecting 21 events absent to the human reference genome. Finally, we evaluated the existence of somatic retroCNVs and described seven putative somatic retrocopies. Despite their putative insignificance, we found that some of these shared, specie-specific and polymorphic events may be expressed per se and as chimeric transcripts within host genes. Taken together, we found that retrocopies are a great factor of genetic variation interspecie, intraspecie e intraindividual and may be affecting mammal evolution by creating reservoirs of potentially functional duplications