Un enfoque de toma de decisiones multicriterio aplicado a la estrategia de transformación digital de las organizaciones por medio de la inteligencia artificial responsable en la nube de las organizaciones. Estudio de caso en el sector de salud

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Estudios Estadísticos, leída el 08-02-2023Organisations are committed to understanding both the needs of their customers and the capabilities and plans of their competitors and partners, through the processes of acquiring and evaluating market information in a systematic and anticipatory manner. On the other hand, most organisations in the last few years have defined that one of their main strategic objectives for the next few years is to become a truly data-driven organisation in the current Big Data and Artificial Intelligence (AI) context (Moreno et al., 2019). They are willing to invest heavily in Data and AI Strategy and build enterprise data and AI platforms that will enable this Market-Oriented vision (Moreno et al., 2019). In this thesis, it is presented a Multicriteria Decision Making (MCDM) model (Saaty, 1988), an AI Digital Cloud Transformation Strategy and a cloud conceptual architecture to help AI leaders and organisations with their Responsible AI journey, capable of helping global organisations to move from the use of data from descriptive to prescriptive and leveraging existing cloud services to deliver true Market-Oriented in a much shorter time (compared with traditional approaches)...Las organizaciones se comprometen a comprender tanto las necesidades de sus clientes como las capacidades y planes de sus competidores y socios, a través de procesos de adquisición y evaluación de información de mercado de manera sistemática y anticipatoria. Por otro lado, la mayoría de las organizaciones en los últimos años han definido que uno de sus principales objetivos estratégicos para los próximos años es convertirse en una organización verdaderamente orientada a los datos (data-driven) en el contexto actual de Big Data e Inteligencia Artificial (IA) (Moreno et al. al., 2019). Están dispuestos a invertir fuertemente en datos y estrategia de inteligencia artificial y construir plataformas de datos empresariales e inteligencia artificial que permitan esta visión orientada al mercado (Moreno et al., 2019). En esta tesis, se presenta un modelo de toma de decisiones multicriterio (MCDM) (Saaty, 1988), una estrategia de transformación digital de IA de la nube y una arquitectura conceptual de nube para ayudar a los líderes y organizaciones de IA en su viaje de IA responsable, capaz de ayudar a las organizaciones globales a pasar del uso de datos descriptivos a prescriptivos y aprovechar los servicios en la nube existentes para ofrecer una verdadera orientación al mercado en un tiempo mucho más corto (en comparación con los enfoques tradicionales)...Fac. de Estudios EstadísticosTRUEunpu

Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations

Market-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a systematic and anticipatory manner. On the other hand, most companies in the last years have defined that one of their main strategic objectives for the next years is to become a truly data-driven organisation in the current Big Data context. They are willing to invest heavily in Data and Artificial Intelligence Strategy and build enterprise data platforms that will enable this Market-Oriented vision. In this paper, it is presented an Artificial Intelligence Cloud Architecture capable to help global companies to move from the use of data from descriptive to prescriptive and leveraging existing cloud services to deliver true Market-Oriented in a much shorter time (compared with traditional approaches).This paper has been elaborated with the financing of FEDER funds in the Spanish National research project TIN2016-75850-R from Spanish Department for Economy and Competitiveness

Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations

Market-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a systematic and anticipatory manner. On the other hand, most companies in the last years have defined that one of their main strategic objectives for the next years is to become a truly data-driven organisation in the current Big Data context. They are willing to invest heavily in Data and Artificial Intelligence Strategy and build enterprise data platforms that will enable this Market-Oriented vision. In this paper, it is presented an Artificial Intelligence Cloud Architecture capable to help global companies to move from the use of data from descriptive to prescriptive and leveraging existing cloud services to deliver true Market-Oriented in a much shorter time (compared with traditional approaches)

Application of Big Data Science techniques for crisis management

A pesar de la existencia de una multitud de investigaciones sobre el análisis de sentimiento, existen pocos trabajos que traten el tema de su implantación práctica y real y su integración con la inteligencia de negocio y big data de tal forma que dichos análisis de sentimiento estén incorporados en una arquitectura (que soporte todo el proceso desde la obtención de datos hasta su explotación con las herramientas de BI) aplicada a la gestión de la crisis. Se busca, por medio de este trabajo, investigar cómo se pueden unir los mundos de análisis (de sentimiento y crisis) y de la tecnología (todo lo relacionado con la inteligencia de negocios, minería de datos y Big Data), y crear una solución de Inteligencia de Negocios que comprenda la minería de datos y el análisis de sentimiento (basados en grandes volúmenes de datos), y que ayude a empresas y/o gobiernos con la gestión de crisis. El autor se ha puesto a estudiar formas de trabajar con grandes volúmenes de datos, lo que se conoce actualmente como Big Data Science, o la ciencia de los datos aplicada a grandes volúmenes de datos (Big Data), y unir esta tecnología con el análisis de sentimiento relacionado a una situación real (en este trabajo la situación elegida fue la del proceso de impechment de la presidenta de Brasil, Dilma Rousseff). En esta unión se han utilizado técnicas de inteligencia de negocios para la creación de cuadros de mandos, rutinas de ETC (Extracción, Transformación y Carga) de los datos así como también técnicas de minería de textos y análisis de sentimiento. El trabajo ha sido desarrollado en distintas partes y con distintas fuentes de datos (datasets) debido a las distintas pruebas de tecnología a lo largo del proyecto. Uno de los datasets más importantes del proyecto son los tweets recogidos entre los meses de diciembre de 2015 y enero de 2016. Los mensajes recogidos contenían la palabra "Dilma" en el mensaje. Todos los twittees fueron recogidos con la API de Streaming del Twitter. Es muy importante entender que lo que se publica en la red social Twitter no se puede manipular y representa la opinión de la persona o entidad que publica el mensaje. Por esto se puede decir que hacer el proceso de minería de datos con los datos del Twitter puede ser muy eficiente y verídico. En 3 de diciembre de 2015 se aceptó la petición de apertura del proceso del impechment del presidente de Brasil, Dilma Rousseff. La petición fue aceptada por el presidente de la Cámara de los Diputados, el diputado Sr. Eduardo Cunha (PMDBRJ), y de este modo se creó una expectativa sobre el sentimiento de la población y el futuro de Brasil. También se ha recogido datos de las búsquedas en Google referentes a la palabra Dilma; basado en estos datos, el objetivo es llegar a un análisis global de sentimiento (no solo basado en los twittees recogidos). Utilizando apenas dos fuentes (Twitter y búsquedas de Google) han sido extraídos muchísimos datos, pero hay muchas otras fuentes donde es posible obtener informaciones con respecto de las opiniones de las personas acerca de un tema en particular. Así, una herramienta que pueda recoger, extraer y almacenar tantos datos e ilustrar las informaciones de una manera eficaz que ayude y soporte una toma de decisión, contribuye para la gestión de crisis.Fac. de Estudios EstadísticosTRUEsubmitte

Da Sociedade da Informação Frente ao Acesso à Internet como um Direito Fundamental de Personalidade

The changes that come from scientific-technological revolution impact the social model. Beside it, it also emerged new challenges to the harvest of law. The Civil Marco Internet represented a democratic process, that aims to control the use of computer space and blame the providers of access to possible violations of rights such as access to the internet, which is the guarantor of the constitution of the human personality. This study aimed to analyze both the information society, the digital walls, as the regulation of the Internet, the access to the virtual world as a fundamental right of personality.As mudanças advindas da revolução científico-tecnológica impactaram no modelo social, dando espaço ao surgimento da Sociedade da Informação. Junto a ela também emergiram novos desafios à seara do Direito. O Marco Civil da Internet representou um processo democrático, que visa controlar a utilização do espaço informático e responsabilizar os provedores de acesso a possíveis violações de direitos, como o acesso à internet, que é garantidor da constituição da personalidade humana. Assim, o trabalho teve buscou analisar tanto a sociedade informacional, as muralhas digitais, a regulamentação da internet, quanto o acesso ao mundo virtual como um direito fundamental de personalidade

Effect of Intravitreous Anti–Vascular Endothelial Growth Factor Therapy on Choroidal Thickness in Neovascular Age-Related Macular Degeneration Using Spectral-Domain Optical Coherence Tomography

A critical method of monitoring patients with neovascular age-related macular degeneration (AMD) being treated with anti–vascular endothelial growth factor (anti-VEGF) is optical coherence tomography (OCT), which uses low-coherence interferometry of light to examine the retina in vivo on a micrometer scale.National Institutes of Health (U.S.) (Grant R01-EY11289-25)National Institutes of Health (U.S.) (Grant R01-EY13178-10)National Institutes of Health (U.S.) (Grant R01-EY013516-07)National Institutes of Health (U.S.) (Grant R01-EY019029-02)United States. Air Force Office of Scientific Research (Grant FA9550-10-1-0551)United States. Air Force Office of Scientific Research (Grant FA9550-10-1-0063)Massachusetts Lions Club

POLÍTICA SOCIAL, GESTÃO E NEGÓCIO NA PRODUÇÃO DAS CIDADES: o programa Minha Casa Minha Vida “entidades”

Este texto apresenta resultados de pesquisa sobre o Programa Minha Casa Minha Vida – Entidades, uma das modalidades da política de habitação inaugurada em 2009, no âmbito da sua apreensão como parte da constelação de programas sociais dos governos Lula e Dilma Roussef. Esses resultados de pesquisa ainda em curso apontam para dilemas, paradoxos e dimensões que envolvem a demanda, os operadores, os processos de produção dos conjuntos habitacionais e a produção e reprodução das formas de desigualdade e segregação socioespacial na cidade de São Paulo, assim como a constituição de um campo de consensos que permeia as relações entre movimentos de moradia e Estado, no interior do que se pode denominar de “lulismo”. PALAVRAS-CHAVE: Política de habitação. Movimentos de moradia. Políticas sociais. Periferias.SOCIAL POLICIES, MANAGEMENT AND BUSINESS IN THE PRODUCTION OF CITIES: the program Minha Casa, Minha Vida - “Entities” Cibele Saliba Rizek Caio Santo Amore Camila Moreno de Camargo This text presents the results of a research about the program Minha Casa, Minha Vida – “Entities”, one of the social housing policies launched in 2009, as to its part in the group of social welfare programs of the governments of Lula and Dilma Rousseff. These results from a research which is still going on point to dilemmas, paradoxes, and dimensions which involve the demand, the operators, the production processes of the housing compounds, and the production and reproduction of inequality and segregation in the city of São Paulo. Also, it points to the constitution of a field of agreements which permeates the relations between movements for housing and the State inside what can be called Lulismo. KEYWORDS: Housing policies. Housing movements. Social welfare. Outskirts.POLITIQUE SOCIALE, GESTION ET AFFAIRES DANS LA PRODUCTION DES VILLES: le programme ma maison, ma vie “entités” Cibele Saliba Rizek Caio Santo Amore Camila Moreno de Camargo Ce texte présente les résultats d’une recherche concernant le Programme Ma Maison Ma vie – “Entités”, l’une des politiques du logement inaugurée en 2009 dans le cadre de la constellation de programmes sociaux des gouvernements de Lula et de Dilma Roussef. Les résultats de cette recherche, toujours en cours, indiquent des dilemmes, des paradoxes et des dimensions portant sur la demande, les opérateurs, les processus de production de l’ensemble des logements, la production et la reproduction des formes d’inégalités et de ségrégation socio-spatiale dans la ville de São Paulo ainsi que la création d’un champ de consensus qui imprègne les relations entre les mouvements pour le logement et l’État au sein de ce que l’on pourrait appeler le “lulisme”. MOTS-CLES: Politique du logement. Mouvements en faveur de l’habitation. Politiques sociales. Banlieues. Publicação Online do Caderno CRH no Scielo: http://www.scielo.br/ccrh  Publicação Online do Caderno CRH: http://www.cadernocrh.ufba.br

Assessing Music Perception in Young Children: Evidence for and Psychometric Features of the M-Factor

Given the relationship between language acquisition and music processing, musical perception (MP) skills have been proposed as a tool for early diagnosis of speech and language difficulties; therefore, a psychometric instrument is needed to assess music perception in children under 10 years of age, a crucial period in neurodevelopment. We created a set of 80 musical stimuli encompassing seven domains of music perception to inform perception of tonal, atonal, and modal stimuli, in a random sample of 1006 children, 6–13 years of age, equally distributed from first to fifth grades, from 14 schools (38% private schools) in So Paulo State. The underlying model was tested using confirmatory factor analysis. A model encompassing seven orthogonal specific domains (contour, loudness, scale, timbre, duration, pitch, and meter) and one general music perception factor, the “m-factor,” showed excellent fit indices. The m-factor, previously hypothesized in the literature but never formally tested, explains 93% of the reliable variance in measurement, while only 3.9% of the reliable variance could be attributed to the multidimensionality caused by the specific domains. The 80 items showed no differential item functioning based on sex, age, or enrolment in public vs. private school, demonstrating the important psychometric feature of invariance. Like Charles Spearman's g-factor of intelligence, the m-factor is robust and reliable. It provides a convenient measure of auditory stimulus apprehension that does not rely on verbal information, offering a new opportunity to probe biological and psychological relationships with music perception phenomena and the etiologies of speech and language disorders

Relação da ineficiência ventilatória e a baixa aptidão cardiorrespiratória em idosos : estudo observacional retrospectivo

Objetivos : Verificar se a ineficiência ventilatória está relacionada à baixa aptidão cardiorrespiratória em idosos. Identificar qual(ais) a(s) melhor(es) variável(eis) do teste Cardiopulmonar de Exercício (TCPE) para determinar essa relação. Método : Foi realizada uma análise retrospectiva de 1.357 TCPEs. Sessenta e um indivíduos acima de 60 anos de idade e com índice de eficiência ventilatória (VE/VCO2) slope >35 foram selecionados e divididos em dois grupos: baixa aptidão cardiorrespiratória (VO280% do previsto) (n=39). Foram comparados com um grupo controle de idosos saudáveis com aptidão cardiorrespiratória normal e VE/VCO2 slope 0,05); o POC apresentou área sob a curva de 0.84 (p35 were selected and divided into two groups: low cardiorespiratory fitness (VO280% predicted) (n=39) and were compared with a control group of healthy elderly persons with normal cardiorespiratory fitness and VE/VCO2 slope index 0.05); the COP showed an area under the curve of 0.84 (p <0.0001) and the OUES presented an area under the curve of 0.81 (p<0.0001). Conclusion : Ventilatory inefficiency is related to poor cardiorespiratory fitness in the elderly. The COP and OUES were more accurate at predicting low cardiorespiratory fitness