Gallery — Poster

Modelo de Poster para eventos de Lic. Inform.

Entre las ventajas que tiene la domótica esta la protección del hogar e integración familiar, añadir valor a la vivienda, mejorar la calidad de vida (acondicionar el clima, aislamiento de equipos, encendido y apagado de luces, regular la energía y automatizar los distintos sistemas) de las personas que viven en ella y en este caso la que nos identifica es el ahorro energético que 'añade inteligencia a las casas

A christmas wishlist with a pretty background picture, christmas icons for bullets in the itemize and already stamped and postmarked, ready to be shipped to santa.

Improper oral care is often an unintentional lifestyle that can lead to a variety of health issues. Lacking access to oral health care services is a problem faced by many, which can lead to adverse economic and health consequences. Tooth decay is one of the earliest indicators of inadequate oral health care in children. By utilizing a preventative approach that o ers u- oride tablets to elementary children in uoride-de cient com- munities, the prevalence of oral cavities can be combated.

Template contendo o modelo de POSTER para trabalhos acadêmicos desenvolvidos por alunos do curso de Engenharia de Computação do Centro Federal Celso Suckow da Fonseca (CEFET) campus Petrópolis.

Modelo de poster padrão do Programa de Pós-graduação em Computação Aplicada, Departamento de Computação e Matemática - DCM, FFCLRP, USP. Ribeirão Preto.

The following paper is a try out on the application of multivariate analysis (regression tree, principal component analysis, and cluster analysis) for classifying hot water chemistry. The number of sample analysed was 416 from all over Indonesia. Regression tree technique has failed to read the data structure due to multi-collinearity effect therefore PCA and cluster analysis were applied. We used open source R statistical packages to do the calculation. Such technique classifies hot water samples into three major clusters: cluster 1 (pure hot water), cluster 2 (mixing water), and cluster 3 (cold-meteoric water). Similar clustering were also detected in the PCA plot. The statistical is able to detect the close and open geothermal system based on data structure. This robust method should be applied to more geothermal system with larger dataset to see its performance.

Based on the MUW Poster LaTeX Template and the Jacobs Portrait Poster Adaptado por Augusto Ferreira, Universidade Federal de Lavrasgstfrr@gmail.com

Information before unblinding regarding the success of confirmatory clinical trials is highly uncertain. Estimates of expected future power which purport to use this information for purposes of sample size adjustment after given interim points need to reflect this uncertainty. Estimates of future power at later interim points need to track the evolution of the clinical trial. We employ sequential models to describe this evolution. We show that current techniques using point estimates of auxiliary parameters for estimating expected power: (i) fail to describe the range of likely power obtained after the anticipated data are observed, (ii) fail to adjust to different kinds of thresholds, and (iii) fail to adjust to the changing patient population. Our algorithms address each of these shortcomings. We show that the uncertainty arising from clinical trials is characterized by filtering later auxiliary parameters through their earlier counterparts and employing the resulting posterior distribution to estimate power. We devise MCMC-based algorithms to implement sample size adjustments after the first interim point. Bayesian models are designed to implement these adjustments in settings where both hard and soft thresholds for distinguishing the presence of treatment effects are present. Sequential MCMC-based algorithms are devised to implement accurate sample size adjustments for multiple interim points. We apply these suggested algorithms to a depression trial for purposes of illustration.