Gallery — Academic Journal

A CONEXÕES - CIÊNCIA E TECNOLOGIA é uma publicação científica do Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE) que tem como objetivo publicar artigos que contribuam para o estudo de temas interdisciplinares e áreas afins. O periódico recebe contribuições em português e inglês. A Revista CONEXÕES - CIÊNCIA E TECNOLOGIA é indexada nas seguintes bases: Sistema eletrônico de editoração de revistas do IBICT (SEER) e no LATINDEX – http://www.latindex.unam.mx ISSN 1982-176X (versão impressa) ISSN 2176-0144 (versão on-line)

The Journal of Mechatronics Engineering is a semiannually electronic publication created by the Federal Institute of Ceará - IFCE. The aim of this work is to contribute to the dissemination of knowledge through the publication of scientific papers (unpublished and original articles, reviews and scientific notes) in English language. Through this, work the editorial board of the journal invites researchers, professionals, undergraduate and graduate students to share their experiences with the scientific and academic community through our electronic journal.

Combined LaTeX Template and Instructions (updated January 2019) for KONA Powder and Particle Journal

Here's a sample how APA papers can be done in LaTeX, especially as a reference for myself. If it helps you, nice. I however don't guarantee any correctness etc.

English template for submissions to Almanaque Económico, student journal by the undergraduate students in Economics at El Colegio de México (COLMEX)

Plantilla para los artículos que deseen enviarse en LATEX a Almanaque Económico, revista estudiantil de la Licenciatura en Economía del Colegio de México.

An aesthetic and simple LaTeX style suitable for "preprint" publications such as arXiv and bio-arXiv, etc. This styling maintains the esthetic of NIPS but adding and changing features to make it (IMO) even better and nore suitable for preprints. The result looks fairly different from NIPS style so that readers won't get confused to think that the preprint was published in NIPS. This style is still in development. You can get the latest version from: https://github.com/kourgeorge/arxiv-style

Manuscript template for RAIRO Operations Research as provided on the journal webpage; downloaded from the journal's FTP site on 16 March, 2019.

The efficiency of a query execution plan depends on the accuracy of the selectivity estimates given to the query optimiser by the cost model. The cost model makes simplifying assumptions in order to produce said estimates in a timely manner. These assumptions lead to selectivity estimation errors that have dramatic effects on the quality of the resulting query execution plans. A convenient assumption that is ubiquitous among current cost models is to assume that attributes are independent with each other. However, it ignores potential correlations which can have a huge negative impact on the accuracy of the cost model. In this paper we attempt to relax the attribute value independence assumption without unreasonably deteriorating the accuracy of the cost model. We propose a novel approach based on a particular type of Bayesian networks called Chow-Liu trees to approximate the distribution of attribute values inside each relation of a database. Our results on the TPC-DS benchmark show that our method is an order of magnitude. more precise than other approaches whilst remaining reasonably efficient in terms of time and space.