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Este artigo tem como objetivo relatar e detalhar a construção de um conversor buck-boost. Cuja a função deste é converter uma tensão cc (corrente contínua) de entrada, em outra tensão cc em sua saída, de valor mais elevado ou inferior dependendo de sua configuração. Destaca-se aqui o uso de um semi condutor MOSFET que funciona como uma chave controladora. Na elabiração deste está destacada o funcionamento, principais características e toda a parte de simulação e comprovação prática deste conversor.

Our goal is to derive a formula for the volume of n-dimensional balls in Rn.

This is the training exercise for AguaClara team members to learn how to use LaTeX and Overleaf. Use this as an opportunity to get to know Overleaf, LaTeX, your teammates, and even yourself better!

The Public Library of Science (PLOS) provides guidelines for the submission of articles prepared using LaTeX. These guidelines include a detailed LaTeX template, which is pre-loaded into Overleaf to help you get started. You can use Overleaf to create and edit your article with nothing to install and no sign up required - simply click the button above to start writing your article using the PLOS template. If you're new to LaTeX, our free online LaTeX course covers all the steps you need to create a complete document in LaTeX with figures, tables and bibliography. PLOS template version 3.5 March 2018

A sample document with some code, useful packages, resources, and sample solution writeups to help Phillips Academy math students get started with Overleaf and LaTeX.

Sermão apresentado na Igreja Presbiteriana Central de Coronel Fabriciano

Template for use by LING/TRST 415

Simple Group Presentation Template for Duke University by Carter Rhea

This study aimed to determine the effects of climate change on forest fire trends in Canada by measuring correlations between weather conditions and the frequency and size of forest fires. Upon identifying the correlations, a model was created to understand future forest fire trends. The purpose of this study was to prevent the increasing trend of forest fires and devise solutions to reduce their damages. The data obtained from the Canadian National Fire Database underwent a linear regression and a machine learning algorithm to respectively predict and correlate weather conditions with future forest fire trends. It was concluded that temperature and wind speed experienced a positive correlation with forest fire frequency and size and precipitation experienced a negative correlation. To reduce the harmful effects of forest fires, cloud seeding can be used to create more precipitation and wind farms can be built to lower wind speed and attract lightning. However, more research and stricter policies directly targeting climate change are necessary for long term stability or decrease in forest fire trends.