LaTeX templates and examples — Two-column

Template for short two column paper in Japanese

The use of technological resources in education has lead to positive changes in the elaboration of new methodologies, in this context technologies such as the Digital Interactive Whiteboard (DIW) can act by facilitating Learning. The mere presence of the DIW does not guarantee benefits for the student's learning process, that raises doubts about whether or not the resources available are used in a satisfactory manner. In this research it was possible to verify that there are few tools available for the DIW context, and many of them have problems of usability and content quality. Thus, a form of facilitate the content elaboration for the DIW is the use of Authoring Tools (ATs). In order to verify whether or not the use of ATs promotes better use of the DIW, an AT (entitled AtauDIW) was developed to assist the use of DIWs.

This paper presents instructions for preparing papers for the IFMBE Proceedings series. The template is intended to guide the authors in preparing the electronic version of their paper. Only papers prepared according to these instructions will be published in both, the paper and online version of the IFMBE proceedings. In this abstract section you should provide an abstract of your paper, not longer than 300 words.

Template to submit articles in Ingeniería e Investigación Journal.

Submission template for the Young Researchers’ Roundtable on Spoken Dialog Systems (YRRSDS 2020)

Created using the Deedy - One Page Two Column Resume from LaTeX Template, Version 1.1 (30/4/2014). Original author: Debarghya Das (http://debarghyadas.com) Original repository: https://github.com/deedydas/Deedy-Resume

Lista de exercício com gabarito

This paper describes the use of the LaTeX qjrms4.cls class file for setting papers for the Quarterly Journal of the Royal Meteorological Society

Gene regulatory networks have an important role to study the behaviour of genes. By analysing these Gene Regulatory Networks we can get the detailed information i.e. the occurrence of diseases by changing behaviour of GRNs. Many different approaches are used (i.e. qualitative modelling and hybrid modelling) and various tools (i.e. GenoTech, GINsim) have been developed to model and simulate gene regulatory networks. GenoTech allows the user to specify a GRN on Graphical User Interface (GUI) according to the asynchronous multivalued logical functions of René Thomas, and to simulate and/or analyse its qualitative dynamical behaviour. René Thomas discrete modelling of gene regulatory network (GRN) is a well known approach to study the dynamics of genes. It deals with some parameters which reflect the possible targets of trajectories. Those parameters are priory unknown. These unknown parameters are fetched using another model checking tool SMBioNet. SMBioNet produces all the possible parameters satisfying the given Computational Logic Tree (CTL) formula as input. This approach involving logical parameters and conditions also known as qualitative modelling of GRN. However, this approach neglects the time delays for a gene to pass from one level of expression to another one i.e. inhibition to activation and vice versa. To find out these time delays, another modelling tool HyTech is used to perform hybrid modelling of GRN. We have developed a Java based tool called GenNet http://asanian.com/gennet to facilitate the model checking user by providing a unique GUI layout for both qualitative and quantitative modelling of GRNs. As we discussed, three separate modelling tools are used for complete modelling and analysis of a GRN. This process is much lengthy and takes too much time. GenNet assists the modelling users by providing some extra features i.e. CTL editor, parameters filtering and input/output files management. GenNet takes a GRN network as input and does all the rest of computations i.e. CTL verification, K-parameters generation, parameter implication to GRN, state graph, hybrid modelling and parameter filtration automatically. GenNet serves the user by computing the results within seconds that were taking hours and days of manual computation