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Este minicurso foi (e ainda está sendo) concebido para iniciantes em Mendeley + LaTeX com Overleaf. Os conteúdos deste minicurso estão em uma contante evolutiva.

Template for the 9th Forum Media Technology at St. Poelten University of Applied Sciences. Adapted from "The Two Column Style for CEUR-WS".

abnTeX2: Modelo de Trabalho Academico em conformidade com ABNT NBR 14724:2011: Informacao e documentacao - Trabalhos academicos Customização Unoesc \Autor: Jonas Alessi(alessi.jonas@gmail.com Versão: 10 de Julho 2013.

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.

Distributed system is a collection of independent systems which can communicate with each other by transferring massages. There are some major issues in distributed systems but we focus in this paper on fault tolerance. It is the system’s ability to work in the condition when there occur any type of some fault in the system, like failure in communication, hardware or resources. It is a very important issue in distributed system, in this paper we present a survey of different types of fault tolerance techniques and their comparison.

This example shows how to create partial tables of contents using the titletoc package.

Paper Template for Joint Congress on Computational Intelligence 2020.

Modelo para Tese

A one-sided CV template in a row layout. The heights and background colors of the rows can be customized to create a featured-content-like layout. Taken from https://github.com/jankapunkt/latexcv.