Editorial

Abstract

THIS ISSUE of the Polytechnic Open Library International Bulletin of Information Technology and Science (POLIBITS) includes ten papers by authors from Mexico. The majority of the papers included in this issue are devoted to the general topic of emerging challenges and trends in business intelligence, including such specific topics as software development, pattern recognition, natural language processing, forecasting, Internet of things, time series analysis, as well as optimization and multi-objective optimization.A. Esquivias-Varela et al. in their paper “Mental Fatigue Analysis in an Industry 4.0 Workstation Using an Intelligent R Language-Based Model”, discussing the impact of psychosocial factors, work stress, and mental fatigue in the automotive industry, particularly focusing on a company engaged in fabric cutting for car seats. Discusses Industry 4.0 and its implications for working methods and environments. Highlights the importance of complying with Mexican Standards, especially NOM-035, related to psychosocial risk factors and workplace violence prevention. Discusses the measurement methods and algorithms used, including Naive Bayes, Neural Networks (Multilayer Perceptron), and Random Forest. Provides details on how each algorithm was implemented and trained using data from the automotive industry.L. Nahle-Ortiz, et al. in their paper “Intelligent Social Forecast in the Olympic Program of La Laguna: A Multicultural Perspective” explores the application of multicriteria decision-making (MCDM) analyses using the TOPSIS methodology to manage the Olympic program of La Laguna. The model integrates key performance indicators (KPIs) such as the PISA test, cultural cohesion metrics, and Olympic medals. Various qualitative techniques and paradigms, such as Cultural Algorithms and social portfolio problems, are employed. The study emphasizes the importance of Smart Cities in facilitating societal evolution and highlights the potential of the Olympic program to contribute to this evolution.E. B. Pérez Martínez, et al. in their paper “Early Detection of Aortic Stenosis for the Prevention of Heart Failure in High-Risk Population using Whale Optimization Algorithm detailed exploration of the use of Convolutional Neural Networks (CNN) and the Whale Optimization Algorithm (WOA) for echocardiographic image segmentation, particularly focusing on the detection of Aortic Stenosis.H. A. Bravo Quintero, et al. in his paper “Analysis of Circular Economy in a Green Logistics Approach of the Citrus Industry in Mexico” provides a comprehensive analysis of the integration of Green Logistics (GL) and Circular Economy principles in the citrus industry in Mexico. It provides an overview of the citrus industry, highlighting its significance in national agriculture, particularly in regions like Martínez de la Torre, Veracruz. The challenges associated with citrus production, such as long-term investments and the need for sustainable practices, are also addressed.GL is introduced as a promising approach to managing supply chain decisions to reduce environmental damage, particularly focusing on reducing greenhouse gas emissions from transportation operations.the article provides valuable insights into the potential benefits of integrating Green Logistics and circular economy principles in the citrus industry, highlighting opportunities for further research and practical application in sustainable supply chain management.R. Hinojosa Meza et al. in their paper “Temperature compensation of pH Measurements Using a Fuzzy Inference System and Genetic Algorithms” proposes a novel approach to compensate for the effects of temperature on pH measurements using a combination of fuzzy inference systems and genetic algorithms. pH measurement is crucial in hydroponic crops as it indicates the acidity or alkalinity of the nutrient solution, which directly impacts nutrient uptake by the plants' roots.This issue of the journal will be useful to researchers, students, and practitioners working in the corresponding areas, as well as to public in general interested in advances in computer science, artificial intelligence, and computer engineering.