https://recibe.cucei.udg.mx/index.php/ReCIBE/issue/feed ReCIBE, electronic journal of Computing, Informatics, Biomedical and Electronics 2025-10-08T00:01:26-06:00 Adriana Peña Pérez Negrón recibe@cucei.udg.mx Open Journal Systems <h2>ReCIBE, <span style="font-size: 11.0pt;">Revista electrónica de Computación, Informática, Biomédica y Electrónica</span></h2> <div id="content"> <div id="journalDescription"> <div id="esp">ReCIBE is a digital publication for the dissemination of technological studies and developments scientific-investigative research in different technologies related to cyber-human integration, whose quality it is based on double-blind peer review; With this foundation, it is an open access journal. The published article are, in Spanish and English, and address results, reflective analysis and reviews of the state of the art of specific areas of research and development of technology in the following areas, although it is not limited:</div> <div> </div> <div><strong>Computer Sciences and Information technology</strong>:</div> <div>Virtual Environments</div> <div>Citizen Science</div> <div>Neural Networks</div> <div>Machine Learning</div> <div>Data Mining</div> <div>Data Processing</div> <div>Natural Language Processing</div> <div>Multi-agent Systems</div> <div>Metaheuristic Computing</div> <div>Diffuse Logic</div> <div>Intelligent Systems</div> <div>Internet of Things</div> <div>Cloud Computing</div> <div>Smart Monitoring</div> <div>Algorithmics</div> <div>Software Engineering</div> <div>Virtualization</div> <div>Embedded Systems</div> <div> </div> <div><strong>In Bioengineering Technologies</strong></div> <div>Medical Instrumentation</div> <div>Biomedical Signals</div> <div>Medical Information Technologies</div> <div>Biomaterials</div> <div>Clinical Engineering</div> <div>Physiological Models</div> <div>Medical Imaging</div> <div>Engineering applied to Health Sciences</div> <div> </div> <div><strong> In Electronics and Photonics</strong></div> <div>Circuits and Systems</div> <div>Communications</div> <div>Computational Intelligence</div> <div>Control Systems</div> <div>Electronic Circuits</div> <div>Remote Sensing Systems</div> <div>Industrial Electronics Measurement and Instrumentation Intelligent Transportation Systems</div> <div>Magnetism</div> <div>Microwave Propagation and Antennas Power and Energy Electronics</div> <div> <p><strong>Safety Engineering<br /></strong>Automation and Robotics <br />Signals Processing<br />Cybernetics<br />Vehicle Technology</p> <p><strong>As well as the application of these technologies in different areas. </strong></p> <p>ReCIBE is a quarterly publication, the number of articles corresponds to the editorial flow.</p> </div> <div id="eng"> <h3 id="consejoEditorial" style="cursor: pointer;"><span style="font-size: 14px;">Publicada por:</span></h3> <table id="logos"> <tbody> <tr> <td><img src="http://recibe.cucei.udg.mx/public/site/images/Admin/cucei.jpg" alt="cucei logo" width="40" height="62" /></td> <td> <p><a href="http://dcc.cucei.udg.mx/" target="_blank" rel="noopener">DIVISIÓN DE TECNOLOGÍAS PARA LA INTEGRACIÓN CIBER-HUMANA</a></p> <p><a href="http://dcc.cucei.udg.mx/" target="_blank" rel="noopener">CENTRO UNIVERSITARIO DE CIENCIAS EXACTAS E INGENIERIAS </a></p> </td> <td><img src="http://recibe.cucei.udg.mx/public/site/images/Admin/udg.jpg" alt="udg" width="40" height="70" /></td> <td><a href="http://www.udg.mx/" target="_blank" rel="noopener">UNIVERSIDAD DE GUADALAJARA</a></td> </tr> </tbody> </table> <p align="center"><img src="http://recibe.cucei.udg.mx/public/site/images/Admin/openaccesslogo.png" alt="Revista de Acceso Abierto" width="40" height="62" align="middle" /> <a href="https://doaj.org/toc/2007-5448?source=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22terms%22%3A%7B%22index.issn.exact%22%3A%5B%222007-5448%22%5D%7D%7D%5D%7D%7D%2C%22size%22%3A100%2C%22sort%22%3A%5B%7B%22created_date%22%3A%7B%22order%22%3A%22desc%22%7D%7D%5D%2C%22_source%22%3A%7B%7D%2C%22track_total_hits%22%3Atrue%7D">Revista de Acceso Abierto</a></p> </div> <h3 id="consejoEditorial"> </h3> </div> </div> <h2><br /><br /></h2> https://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/422 The competition among julia, python and r for leadership in data science and development 2025-05-29T09:40:19-06:00 Jessica Mendoza jessica.mendoza.j0610@gmail.com Aristeo Garrido Hernández agh@azc.uam.mx Jesús Barrón Vidales jbarronv@uttecamac.edu.mx Roberto Efraín Uribe Capulín euribester@gmail.com <p>This study compares Julia, Python, and R programming languages in the context of data science and software development. By evaluating performance, libraries, community support, and licensing, through conducting speed tests —including matrix operations, data manipulation, and visualization— it was observed that Julia is the fastest in numerical computations, making it ideal for scientific computing, while Python offers a balanced solution, it is efficient in data processing and graphics, and features a robust ecosystem and a large online community. R stands out in statistical analysis and visualization but is slower in computationally intensive tasks.</p> <p>&nbsp;In the field of web development, Python leads with mature frameworks such as Django and Flask, while the alternatives in R (Shiny) and Julia (Genie) have more limited reach. Additionally, licensing differs: Julia and Python use MIT and PSF licenses, respectively, which are flexible and suitable for commercial projects, whereas R uses the GPL license, which is more restrictive.</p> <p>&nbsp;In conclusion, Python emerges as the most versatile option for general-purpose projects, Julia excels in high-performance computing, and R maintains advantages in statistical analysis. Therefore, the choice of a programming language depends on the context and objectives of the project.</p> 2025-10-08T00:00:00-06:00 Copyright (c) 2025 ReCIBE, electronic journal of Computing, Informatics, Biomedical and Electronics https://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/441 Nanoemulsions: Definition, synthesis methods, characterisation and biomedical applications 2025-09-11T13:50:36-06:00 Abraham Gabriel Alvarado Mendoza gabriel.alvarado@academicos.udg.mx Valeria Sánchez González valeria.sanchez5825@alumnos.udg.mx Rosaura Hernández Montelongo rosaura.hernandez@academicos.udg.mx Alejandra Cruz Hernández alejandra.cruz@academicos.udg.mx <p>Nanoemulsions represent an emerging platform in controlled drug delivery due to their ability to transport and release bioactive compounds, improve their bioavailability, and enable sustained release at the site of action. Their nanometric size and high kinetic stability facilitate penetration into biological tissues and protect therapeutic molecules from enzymatic degradation. In the biomedical field, these nanostructures have shown great potential in the administration of hydrophobic agents and combination therapies. Growing scientific evidence supports their potential to revolutionise pharmaceutical delivery, although key barriers to their widespread clinical application remain. This paper is a brief summary presenting a description of nanoemulsions, the most commonly used synthesis methods and characterisation techniques. Finally, one of their many applications, controlled drug release, is demonstrated.</p> <p>&nbsp;</p> 2025-10-08T00:00:00-06:00 Copyright (c) 2025 ReCIBE, electronic journal of Computing, Informatics, Biomedical and Electronics https://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/434 Implementation of a system for the study of pupillary reflexes using blue and white color stimuli. 2025-08-21T12:00:48-06:00 Rodrigo Hernandez Moncayo rhernandezm403@alumno.uaemex.mx Asdrúbal López Chau _ rhernandezm403@alumno.uaemex.mx Carlos Omar González Morán _ rhernandezm403@alumno.uaemex.mx Ernesto Suaste Gómez _ rhernandezm403@alumno.uaemex.mx Jose de Jesus Agustin Flores Cuautle _ rhernandezm403@alumno.uaemex.mx Juan Carlos Belen Luna _ rhernandezm403@alumno.uaemex.mx <p>This work describes the implementation of a <strong>video-oculography (VOG) and pupillometry system</strong> to measure pupillary reflexes in 20 volunteers (21 ± 3 years old) under blue and white light stimuli in a controlled environment. Although it's a very small sample, the results demonstrate that the system can be useful for obtaining pupillary data, with both the system and the infrastructure employed receiving a positive evaluation. Three 10 ms stimuli were used with 10 s intervals, recording pupillary areas between 3000 and 9000 pixels, with maximum contractions of 3000-5000 pixels. The results show that <strong>blue light induces slightly more pronounced contractions</strong> (average PCA: 444-449 pixels²) than white light (average PCA: 410-417 pixels²), with a <strong>decrease in post-illumination pupillary response (PIPR)</strong> in the third cycle due to fatigue of the intrinsically photosensitive retinal ganglion cells (ipRGCs). This system provides a preliminary database for future studies using artificial intelligence to identify potential biomarkers for parasympathetic ocular disorders.</p> 2025-10-13T00:00:00-06:00 Copyright (c) 2025 ReCIBE, electronic journal of Computing, Informatics, Biomedical and Electronics