Software de apoyo a la decisión para el establecimiento de pautas correctoras de vacunación

En la actualidad, cualquier ámbito profesional cuenta con herramientas software especializadas que mejoran la productividad en la realización de tareas repetitivas o facilitan la ejecución de tareas críticas con un alto grado de especialización. Entre estos sistemas software especializados se encuentran las herramientas informáticas que sirven de apoyo a la toma de decisiones, a veces basadas en sistemas expertos, que pueden alcanzar un grado de eficiencia y exactitud incomparables con procesos de elaboración artesanal. En este proyecto se detalla la creación de un sistema de ayuda a la toma de decisión clínica para la elaboración de pautas vacunales aceleradas en personas que no se encuentran correctamente vacunadas según su calendario de vacunación. Esta herramienta se sirve de una serie de algoritmos, extraídos de conocimiento experto y encargados de calcular un calendario de vacunación acelerado a medida del paciente, según su edad, género y dosis previamente administradas. Estos algoritmos son totalmente configurables y pueden ser adaptados a cualquier tipo de calendario vacunal y vacunas que formen parte de él. La herramienta software desarrollada en este trabajo pretende dar servicios a dos tipos de usuario. Los usuarios con perfil enfermero podrán acceder a la herramienta para la elaboración de pautas de vacunación acelerada. Los usuarios con perfil administrador podrán definir para cada una de las vacunas dadas de alta en el sistema los algoritmos de pautas de vacunación aceleradas según la edad del paciente y las dosis previamente recibidas dentro de cada rango temporal. El objetivo principal del proyecto consiste en contribuir, mediante un software de ayuda a la toma de decisión, a reducir el índice de error humano en el diseño de pautas de corrección vacunales, suministrando para ello unas pautas exactas y adecuadas a las circunstancias del paciente y su historia vacunal previa.

Navegar na web : as redes sociais como espaços de comunicação, partilha de conhecimento e de promoção de competências de aprendizagem

A aprendizagem em rede e as potencialidades do software social trouxeram novos e estimulantes desafios para os sistemas educativos e para os seus profissionais. Um dos principais desafios prende-se com a necessidade de conceber uma “nova” didática para a docência na web social que deve basear-se não só nos conhecimentos científico, tecnológico, curricular e pedagógico, mas também num conhecimento científico e pedagógico da tecnologia que permita planear, conceber e utilizar as redes sociais, como o Facebook, no processo de ensino-aprendizagem de forma eficaz. Assim, e perante esta realidade, neste estudo exploratório procurámos perceber em que medida a utilização do Facebook no processo de ensino-aprendizagem permite a promoção de competências de aprendizagem de estudantes de cursos pós-graduados, a nível da capacidade para aprender, da iniciativa e da autonomia. Os resultados sugerem que os estudantes aceitam o Facebook como um novo contexto para a aprendizagem, que não impede a reflexão crítica sobre os conceitos e as temáticas apresentadas para trabalho, possibilitando o desenvolvimento de comunidades de aprendizagem desde que exista uma intencionalidade educativa explícita.

Aplicación de redes Mesh en el área de videovigilancia y ampliación de zonas Wi-Fi en el municipio de San José las Flores, Chalatenango

El trabajo describe la aplicación de redes Mesh (tecnología inalámbrica) en campos de la videovigilancia y ampliación de zonas Wi-Fi, basado en la realización de una red prototipo capaz de soportar tales servicios, todo esto aplicado al caso de estudio del municipio de San José las Flores, Chalatenango, comunidad de escasos recursos, pues uno de los principales objetivo de este trabajo es hacer accesible esta tecnología a las municipalidades más pobres, para ello se utilizaron herramientas y software libres, dejando plasmado en el documento las factibilidades económicas, técnica y operativa, así como los resultados obtenidos durante la investigación

Um sistema para a inferência de variáveis usando redes neurais artificiais

This work aims to obtain a low-cost virtual sensor to estimate the quality of LPG. For the acquisition of data from a distillation tower, software HYSYS ® was used to simulate chemical processes. These data will be used for training and validation of an Artificial Neural Network (ANN). This network will aim to estimate from available simulated variables such as temperature, pressure and discharge flow of a distillation tower, the mole fraction of pentane present in LPG. Thus, allowing a better control of product quality

A produção de conteúdos midiáticos realizada por jovens e suas possibilidades educativas

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Educação, Programa de Pós-Graduação em Educação, 2016.

Entrevista sobre as Redes de Atenção à Saúde

Apresenta as Redes de atenção à saúde, sua definição, conceitos, fases, organização, metas, que visam a atenção contínua, integral, humanizada, com qualidade e responsabilidade. Também expõe sobre as redes que estão em fase de implantação no Maranhão: Cegonha, Urgência e Emergência, Atenção Psicossocial, Atendimento ao câncer de colo de útero e de mama.

Teleodontologia no Programa Nacional Telessaúde Brasil Redes: relato da experiência em Mato Grosso do Sul

Relatar as experiências em teleodontologia, desenvolvidas por meio de teleconsultorias assíncronas e teleducação, no Núcleo Técnico-Científico do Programa Nacional Telessaúde Brasil Redes em Mato Grosso do Sul, no período de 2012- 2013.

Vertical Bone Measurements From Cone Beam Computed Tomography Images Using Different Software Packages.

This article aimed at comparing the accuracy of linear measurement tools of different commercial software packages. Eight fully edentulous dry mandibles were selected for this study. Incisor, canine, premolar, first molar and second molar regions were selected. Cone beam computed tomography (CBCT) images were obtained with i-CAT Next Generation. Linear bone measurements were performed by one observer on the cross-sectional images using three different software packages: XoranCat®, OnDemand3D® and KDIS3D®, all able to assess DICOM images. In addition, 25% of the sample was reevaluated for the purpose of reproducibility. The mandibles were sectioned to obtain the gold standard for each region. Intraclass coefficients (ICC) were calculated to examine the agreement between the two periods of evaluation; the one-way analysis of variance performed with the post-hoc Dunnett test was used to compare each of the software-derived measurements with the gold standard. The ICC values were excellent for all software packages. The least difference between the software-derived measurements and the gold standard was obtained with the OnDemand3D and KDIS3D (-0.11 and -0.14 mm, respectively), and the greatest, with the XoranCAT (+0.25 mm). However, there was no statistical significant difference between the measurements obtained with the different software packages and the gold standard (p> 0.05). In conclusion, linear bone measurements were not influenced by the software package used to reconstruct the image from CBCT DICOM data.

Calibração de câmeras para análises subaquáticas de movimentos = : Cameras calibration for underwater motion analysis

Universidade Estadual de Campinas . Faculdade de Educação Física

Evaluation of follicular lymphoid depletion in the Bursa of Fabricius: an alternative methodology using digital image analysis and artificial neural networks

Fifty Bursa of Fabricius (BF) were examined by conventional optical microscopy and digital images were acquired and processed using Matlab® 6.5 software. The Artificial Neuronal Network (ANN) was generated using Neuroshell® Classifier software and the optical and digital data were compared. The ANN was able to make a comparable classification of digital and optical scores. The use of ANN was able to classify correctly the majority of the follicles, reaching sensibility and specificity of 89% and 96%, respectively. When the follicles were scored and grouped in a binary fashion the sensibility increased to 90% and obtained the maximum value for the specificity of 92%. These results demonstrate that the use of digital image analysis and ANN is a useful tool for the pathological classification of the BF lymphoid depletion. In addition it provides objective results that allow measuring the dimension of the error in the diagnosis and classification therefore making comparison between databases feasible.

Systematic Management of Variability in UML-based Software Product Lines

This paper presents SMarty, a variability management approach for UML-based software product lines (PL). SMarty is supported by a UML profile, the SMartyProfile, and a process for managing variabilities, the SMartyProcess. SMartyProfile aims at representing variabilities, variation points, and variants in UML models by applying a set of stereotypes. SMartyProcess consists of a set of activities that is systematically executed to trace, identify, and control variabilities in a PL based on SMarty. It also identifies variability implementation mechanisms and analyzes specific product configurations. In addition, a more comprehensive application of SMarty is presented using SEI's Arcade Game Maker PL. An evaluation of SMarty and related work are discussed.

Atratividade de projetos de software livre: importância teórica e estratégias para administração

Thousands of Free and Open Source Software Projects (FSP) were, and continually are, created on the Internet. This scenario increases the number of opportunities to collaborate to the same extent that it promotes competition for users and contributors, who can guide projects to superior levels, unachievable by founders alone. Thus, given that the main goal of FSP founders is to improve their projects by means of collaboration, the importance to understand and manage the capacity of attracting users and contributors to the project is established. To support researchers and founders in this challenge, the concept of attractiveness is introduced in this paper, which develops a theoretical-managerial toolkit about the causes, indicators and consequences of attractiveness, enabling its strategic management.

Evaluation of three brands of drug interaction software for use in intensive care units

Objective To evaluate drug interaction software programs and determine their accuracy in identifying drug-drug interactions that may occur in intensive care units. Setting The study was developed in Brazil. Method Drug interaction software programs were identified through a bibliographic search in PUBMED and in LILACS (database related to the health sciences published in Latin American and Caribbean countries). The programs` sensitivity, specificity, and positive and negative predictive values were determined to assess their accuracy in detecting drug-drug interactions. The accuracy of the software programs identified was determined using 100 clinically important interactions and 100 clinically unimportant ones. Stockley`s Drug Interactions 8th edition was employed as the gold standard in the identification of drug-drug interaction. Main outcome Sensitivity, specificity, positive and negative predictive values. Results The programs studied were: Drug Interaction Checker (DIC), Drug-Reax (DR), and Lexi-Interact (LI). DR displayed the highest sensitivity (0.88) and DIC showed the lowest (0.69). A close similarity was observed among the programs regarding specificity (0.88-0.92) and positive predictive values (0.88-0.89). The DIC had the lowest negative predictive value (0.75) and DR the highest (0.91). Conclusion The DR and LI programs displayed appropriate sensitivity and specificity for identifying drug-drug interactions of interest in intensive care units. Drug interaction software programs help pharmacists and health care teams in the prevention and recognition of drug-drug interactions and optimize safety and quality of care delivered in intensive care units.