Gallery — Academic Journal

Plantilla publicada en la página de la revista de la Facultad de Ciencias Exactas, Físicas y Naturales

This template is for authors who are preparing a manuscript for a Taylor & Francis journal using the LaTeX document preparation system and the interact class file and the "P" reference style, which is available via selected journals' home pages on the Taylor & Francis website.

cas-sc.cls and cas-dc.cls are the two new class files created for typesetting Elsevier's journal articles which go through Complex Article Service (CAS) workflow. These are now accepted for submitting articles, both in Elsevier's electronic submission system and elsewhere. Bugs and problems with elsarticle.cls may be reported to the developers of the class via elsarticle@stmdocs.in. License: The LaTeX Project Public Li­cense 1.2

cas-sc.cls and cas-dc.cls are the two new class files created for typesetting Elsevier's journal articles which go through Complex Article Service (CAS) workflow. These are now accepted for submitting articles, both in Elsevier's electronic submission system and elsewhere. Bugs and problems with elsarticle.cls may be reported to the developers of the class via elsarticle@stmdocs.in. License: The LaTeX Project Public Li­cense 1.2

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.

Japanese template for IEICE journals, technical reports (ieicej v3.2)

This is an unofficial general-purpose template for articles in Nature Reviews Physics based on the information about the journal and the guide to authors available at: https://www.nature.com/natrevphys/

Paper template for the COGAI course (CLiPS - University of Antwerp)

This template can be used to prepare a research article for submission to the OSA/IEEE Journal of Optical Communications and Networking (JOCN). Note that this template can be run from your own TeX system or within the cloud-based Overleaf system (formerly writeLaTeX). Once your article is complete, you may submit it directly to Prism (the OSA's article tracking system) via the 'Submit to OSA' option in the Overleaf editor.