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One of the acceptable templates for writing a physics comps paper at Carleton College. This template is part of an internal wiki page for students at Carleton College.

A template for a Japanese-style New Year card. This is based on https://qiita.com/yyu/items/defa9eb6d4cf5e797270 and https://mentalpoker.blogspot.com/2020/03/latex.html. Some additional comments are added so that one can adjust the margins and font sizes and add references.

UiTMSlides is a LaTeX Beamer theme for UiTM presentation slides. The slides is based on the UiTM Slide Master template from https://korporat.uitm.edu.my/index.php/download/brand-management.

Cover page template for NTU School of Mechanical & Aerospace Engineering FYP reports. If you don't know how to use LaTeX, just fill in details and download PDF, then merge it with your report PDF.

A free LGU report template to get start your report much easier.

http://www.pgeb.uff.br/pgeb/index.php/pt_br/

A template for problem sets, set up to enter blocks of equations, images and arrays.

Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV. Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code. Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.

A CV for research scholars/PhD Students.