Articles — Academic Journal

Optimization is a crucial step in the development context of algorithms, where depending on the purpose, different levels of optimization can be applied. Thus, the Network Dijkstra algorithm has been choosen in order to perform the compilation and execution with some levels of optimization from the GCC, measuring its execution time, number of cycles and instructions. In the present work, it is also discussed how the front-end and middle-end analyzes are performed in GCC.

The Electricity theft is an economic issue for the electricity company due to unbilled revenue of consumers who commit such action. In a regulated scenario the company needs to fit within the laws of a regulatory agency (ANEEL in Brazil) and the loss of revenue is a problem that can compromise the compliance with regulatory targets and business efficiency. The objective of this article is to analyze how the energy theft impacts on the economy of the regulated company, consumers and society as a whole. Through the economic model Tarot (Optimized Tariff) it was possible through a concise and comprehensive manner to analyze the regulated electricity market using simulations and discover in which points the company operates optimally and through it to determine the economic indicators.

En ésta páctica medimos y cuantificamos algunas de las propiedades de diferentes rocas, como la densidad y la masa, utilizando los equipos necesarios y comparándolas entre ellas para saber como es el comportamiento de las rocas que recolectamos. Al finalizar de hacer experimentos con las diferentes rocas, se compararon los resultados con los de otro equipo y se observ ́o que ambos resultados eran similares, lo que indica que cada tipo de roca tiene características diferentes de las demás, como su porosidad o densidad, independientemente de su masa o volumen.

Template: (c) 2010 Association for Computing Machinery (ACM) For tracking purposes => this is v1.3 - March 2012

We all have a good reason to learn a new language; discovering our roots, passion for travel, academic purposes, pure interest etc. However most of us find it hard to become conversationally fluent in a new language while we use traditional resources for learning like textbooks and tutorials on the internet. In this paper we propose a novel approach to learn a new language. We aim to develop an intelligent browser extension, LanGauger, that will help users learn foreign languages. This application will allow users to look up words while they are browsing, by highlighting the text to be learned. The application will then provide a translation of the word, its pronunciation and its usage context in sentences. In addition, this intelligent tutor will also remember what words have been seen by the user, and quiz them on these words at appropriate times. While testing the recall of the user, this feature will also allow users to frequently think about the language and use it.

This template for submissions to the Journal of Statistical Software (JSS) was downloaded from the journal's website. There are templates for articles, code snippets, book reviews and software reviews. To use these for your own submission, open this template, and set the appropriate file to be your main file by right-clicking on them in the file list: article.tex codesnippet.tex bookreview.tex softwarereview.tex See README.txt and jss.pdf within this template for further information on how to use the template for your own submission.

We revisit the results of the recent Reproducibility Project: Psychology by the Open Science Collaboration. We compute Bayes factors—a quantity that can be used to express comparative evidence for an hypothesis but also for the null hypothesis—for a large subset (N = 72) of the original papers and their corresponding replication attempts. In our computation, we take into account the likely scenario that publication bias had distorted the originally published results. Overall, 75% of studies gave qualitatively similar results in terms of the amount of evidence provided. However, the evidence was often weak (i.e., Bayes factor < 10). The majority of the studies (64%) did not provide strong evidence for either the null or the alternative hypothesis in either the original or the replication, and no replication attempts provided strong evidence in favor of the null. In all cases where the original paper provided strong evidence but the replication did not (15%), the sample size in the replication was smaller than the original. Where the replication provided strong evidence but the original did not (10%), the replication sample size was larger. We conclude that the apparent failure of the Reproducibility Project to replicate many target effects can be adequately explained by overestimation of effect sizes (or overestimation of evidence against the null hypothesis) due to small sample sizes and publication bias in the psychological literature. We further conclude that traditional sample sizes are insufficient and that a more widespread adoption of Bayesian methods is desirable.

How to conceal objects from electromagnetic radiation has been a hot research topic. Radar is an object detection system that uses Radio waves to determine the range , angle, or velocity. A radar transmit radio waves or microwaves that reflect from any object in their path. A receive radar is typically the same system as transmit radar, receives and processes these reflected wave to determine properties of object. Different organizations are working onto hide object from the radar in outer space. Any confidential object can be taken through space without being detected by the enemies. This calls for necessity of devising new method to conceal an object electromagnetically.

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