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Posters are a great way to showcase your work, whether at conferences, class presentations, or university open days. Formatting a poster correctly can be difficult but these templates and examples make it easy to create beautiful, eye-catching posters with key content clearly laid out. Each template provides placeholders for text, tables, figures and equations. Font size is usually set automatically, and it’s easy to switch between landscape or portrait, A0, A1, A2, A3 and A4 size posters.

An Initial  Analysis of Approximation Error for Evolutionary Algorithms
An Initial Analysis of Approximation Error for Evolutionary Algorithms
Author: Jun He This file may be distributed and/or modified under the LaTeX Project Public License and/or under the GNU Public License.
Jun He
Quiz Challenger (Poster)
Quiz Challenger (Poster)
The idea behind Quiz Challenger was to create knowledgeable environment in which user can share and enhance knowledge by giving and accepting challenge. The Quiz challenger is developed on JavaScript used for front-end and node JS used for back-end development. To dealt with database we use MongoDB.
Haseeb Ghaffar
The Flyby Model of Chondrule Formation: an Investigation into the Viability ofGranoblastic Olivine Aggregates as Type I Chondrule Precursor Material
The Flyby Model of Chondrule Formation: an Investigation into the Viability ofGranoblastic Olivine Aggregates as Type I Chondrule Precursor Material
A look into the viability of GOAs as type I chondrule precursor material within the new heating parameters of the fly by model.
Ian K. Bania
Predictive Posterior Power for Sample Size Re-estimation
Predictive Posterior Power for Sample Size Re-estimation
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.
marc sobel
Classifying hot water chemistry: Application of multivariate statistics
Classifying hot water chemistry: Application of multivariate statistics
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.
Prihadi Sumintadireja, Dasapta Erwin Irawan, Rina Herdianita, Yuano Rezky, Prana Ugiana Gio, Anggita Agustin, and Ali Lukman
Child and Adolescent Oral Health
Child and Adolescent Oral Health
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.
Punita Peketi
Comunicaciones Analogicas
Comunicaciones Analogicas
El proyecto está basado en la construcción y diseño de un transmisor de frecuencia modulada de baja potencia, que consta de dos etapas, una la cual amplifica la señal que es una señal de audio sinusoidal por medio de una entrada Jack 3.5 que va directamente a un dispositivo electrónico ya sea un reproductor mp3 o también un celular o computador, y la segunda etapa se encarga de modular la señal y transmitirla, el circuito tiene una como fuente una pila de 9v y su diseño está basado en una forma en la que pueda ser portable y de fácil uso en general, utilizando los conocimientos vistos en todas las clases en especial la que tenían enfoque en transmisión de frecuencia modulada y también el comportamiento de los dispositivos electrónicos básicos en alta frecuencia, basados en esta teoría pudimos construir el transmisor.
GUSTAVO RIVAS GUTIERREZ
Autonomous robot navigation in mixed environment
Autonomous robot navigation in mixed environment
Created from portrait poster template
OviRush
T\écnicas e instrumentos para la recolección de datos: La entrevista
T\écnicas e instrumentos para la recolección de datos: La entrevista
Realizar entrevistas toma tiempo; por lo tanto no es posible utilizar este método para recopilar toda la información que se necesite en la investigación; incluso el analista debe verificar los datos recopilados utilizando unos de los otros métodos de recabación de dato
Melisa

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