Gallery — Academic Journal

This is the TeX template for articles submitted to Pisika. Notes: The authblk package is contained in the preprint bundle. Other packages needed are: amsmath, bm, booktabs, caption, dcolumn, fancyhdr, geometry, graphicx, hyperref, latexsym, natbib The pisikabst.bst file is modified from the LPPL distributed apsrev.bst by PW Daly.

En esta práctica utilizamos un láser con el cual medimos los diferentes ángulos resultantes que este hacía cuando era reflejado o refractado con diferentes ángulos de incidencia, con la finalidad de comprobar las leyes de reflexión y refracción de la luz.

This guide is for authors who are preparing papers for the Taylor & Francis journal International Journal of Geographical Information Science (tGIS ) using the LATEX 2ε document preparation system and the Class file tGIS2e.cls, which is available via the journal homepage on the Taylor & Francis website. Authors planning to submit their papers in LATEX2ε are advised to use tGIS2e.cls as early as possible in the creation of their files.

Use this template to prepare manuscript submissions for In­ter­na­tional Jour­nal of Stu­dent Research in Ar­chae­ol­ogy (IJSRA). See https://github.com/LukasCBossert/ijsra for submission. [Updated 21 Sept, 2016]

This is the Overleaf template for The World Economy. It is a generic template that allows authors to write in either Rich Text or LaTeX formats, and has multiple options designed to work for a number of journals participating in Wiley’s pilot with Overleaf. Please refer to the journal’s author guidelines in order to confirm your manuscript adheres to the journal’s requirements for submissions; note, without exception, the reference style used should be that provided in the template. Should the journal style differ, the references will be reformatted during production if the manuscript is accepted for publication. Once your manuscript is complete, simply use the "Submit to Journal" option in the Overleaf editor to submit your files directly to the journal for processing. If you're new to LaTeX, check out our free online introduction to help you get started, or please get in touch if you have any questions.

This template is for authors who are preparing papers for the Natural Language Engineering journal using the LaTeX document preparation system and the CUP NLE style file. (Downloaded from here on 29 September 2018

This software/template may only be used to prepare an article for publication in SOFTWARE TESTING, VERIFICATION AND RELIABILITY to be published by John Wiley & Sons, Ltd. Any other use constitutes an infringement of copyright. Downloaded from Software Testing, Verification and Reliability journal homepage

This is the Overleaf template for Veterinary Radiology & Ultrasound (VRU). It is a generic template that allows authors to write in either Rich Text or LaTeX formats, and has multiple options designed to work for a number of journals participating in Wiley’s pilot with Overleaf. Please refer to the journal’s author guidelines in order to confirm your manuscript adheres to the journal’s requirements for submissions; note, without exception, the reference style used should be that provided in the template. Should the journal style differ, the references will be reformatted during production if the manuscript is accepted for publication. Once your manuscript is complete, simply use the "Submit to Journal" option in the Overleaf editor to submit your files directly to the journal for processing. If you're new to LaTeX, check out our free online introduction to help you get started, or please get in touch if you have any questions.

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.