Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

El Internet de las Cosas (IoT) es una tecnología emergente con un impacto significativo en los dominios sociales y tecnológicos, que permite la interconectividad entre dispositivos electrónicos para la transferencia y el almacenamiento de datos a través de redes inalámbricas, con una mínima intervención humana. El creciente interés por las tecnologías que mejoran la vida cotidiana, como los asistentes virtuales (Alexa, Siri), pone de manifiesto su relevancia para controlar de forma intuitiva los dispositivos conectados. Si bien es popular entre las generaciones actuales, existe una oportunidad prometedora para mejorar el bienestar de la Generación X a través de IoT. Este artículo explora cómo la integración de comandos de voz y capacidades de IoT puede optimizar el uso de una cinta de correr mediante la incorporación de sensores para capturar variables como la frecuencia cardíaca y los niveles de oxigenación. La futura implementación de un asistente virtual impulsado por IA tiene como objetivo lograr la máxima personalización, mejorar los hábitos y la calidad de vida, y proporcionar ventajas económicas en comparación con los gimnasios tradicionales.

This study proposes a methodology for searching for clothing on the web using convolutional neural networks (CNN) and a color obtaining module. The system is based on the creation of a color base in the HSL (Hue, Saturation, Luminosity) space. It determines the color of an image based on dissimilarity rules. The base image, previously processed by a CNN, along with the result of obtaining the color, generates a string of characters. This string is entered into a search engine, resulting in garments that resemble the base image. These garments are processed with the ORB algorithm to extract their features and compare them with those of the base image. In this way, it can be determined which of the garments is most like the base image. This work offers new perspectives and useful techniques for obtaining colors, significantly improving the accuracy and efficiency of object search on the web.

The North American Free Trade Agreement required Mexico, the United States and Canada to measure pollutants released and transferred to the environment. In Mexico, the Ministry of Environment and Natural Resources publishes an annual report of pollutants released or transferred by public and private facilities across industrial sectors. Each facility must report substances listed in Official Mexican Standard NOM-165-SEMARNAT-2013. In this study, we used the SINAT tool to obtain records of pollutant releases by municipalities in the state of Tamaulipas. We preprocessed and analysed the substances released in Tamaulipas and mapped them to their corresponding groups based on monographs from the International Agency for Research on Cancer (IARC). These groupings were then used to identify toxic substances—such as benzene, arsenic and asbestos—classified as carcinogenic to humans (Group 1) in Tamaulipas.

Cloud computing is essential for executing scientific workflows, offering scalable resources to process large volumes of data. However, efficient resource allocation remains a challenge due to fluctuations in demand and inadequate planning, which can increase makespan and thus energy consumption. In this context, infrastructure as a service is primarily used, allowing the rental of virtual machines with different characteristics. This study focuses on identifying the factors that influence the improvement of makespan for executing workflows from different disciplines and characteristics. The factors evaluated in this study are workfloF size, structure, and the number of virtual machines (VMs) required. The algorithms in this study consist of four heuristics and one metaheuristic, specifically a genetic algorithm (GA). Regarding the factors, the most relevant in CC is the number of VMs, where increasing the number of VMs reduces makespan to a certain extent, following the behavior described by the law of diminishing returns.

Team cohesion plays a significant role in software development, shaping performance and productivity. It fosters strong connections among members working towards a shared objective. Cohesion is a dynamic process influenced by personal, interpersonal and domain-related factors. To identify key drivers of cohesion in software teams, we posed four open-ended questions to 137 industry-experienced developers. Responses most frequently highlighted effective communication, shared goals and mutual support as enablers of better organisation, role clarity and synchronisation, thereby providing structural support for cohesion. Additionally, crisis management, handling external dependencies, conflict resolution and adaptability were cited as foundations for problem-solving. Leadership, recognition and synergy were reported to foster social affinity and receptiveness to peer feedback. Overall, respondents associated cohesion with outcomes such as working affinity, social affinity, dependability, receptiveness to feedback, team-based decision-making and efficiency.

In this contribution, the Markov chain approach is used to predict the job satisfaction of employees in a telecommunications company in Mexico. Under certain assumptions, the Chapman–Kolmogorov equation is applied to estimate the probabilities that: employees remain satisfied if they are satisfied; if they are not satisfied, the probability that they remain unsatisfied; if they are satisfied, the probability that they will become unsatisfied; and finally, if they are unsatisfied, the probability that they will become satisfied, within a one-year prediction horizon. Our proposal could be applied to support decision-making in human capital management strategies.

Incomplete data poses a significant obstacle in data science and machine learning, influencing model outcomes and occurring commonly across domains such as health, nutrition, electricity, agriculture, chemistry and water resources. Missing data refers to the absence of information for one or more variables in a dataset. Accurate imputation is therefore crucial to ensure the reliability and validity of analyses and predictive models. This study proposes a Harmony Search Algorithm (HSA) to address missing-data imputation, emphasising its flexibility and adaptability. The approach seeks the best imputations by minimising error metrics such as MAE, MSE and RMSE. Computational tests indicate that HSA is a promising method for imputing missing data in a range of contexts.

This article analyzes the advancement of the integration of Generative Artificial Intelligences into platforms, especially those based on Large Language Models (LLMs). These changes are beginning to alter the way content is produced and used, information is searched and processed, and user profiles are managed. The aim of the article is to map the main LLM developments in the West and their strategic, hardware supply or financial partnerships with cloud computing platforms, hardware producers and servers. In this sense, we start with the massive launch of ChatGPT as the founding moment of this new stage and go through the main uses and applications of transformers in platform environments. Although we are at the beginning of the application of this technology in an integrated manner, it could generate a deepening of algorithmic personalization, modifying the forms of human subjectivation and favoring epistemic bubbles at the cognitive level, as well as concentrating supply and development at the level of political economy. That is why it is necessary to seek more forms of human intervention in data curation and to increase the active observance –both civil and governmental– of these systems and their alliances in order to avoid extreme concentration and to attend to the biases that could generate negative effects on culture.

The article addresses the mediatization of the museum agency's communication in the face of the socio-climatic crisis, taking as an object of analysis the performance of the State System of Museums of Rio Grande do Sul (SEM/RS) on Instagram during the extreme climatic events of May 2024. We reflect on the incidence of technologies and new digital culture in an environment that has historically been dedicated to caring for and honoring collections that, since the emergence of the public sphere, have been conceived as exemplary superlatives and typical of analogue culture. We address the communicative mutations of museums, conceived as traditional institutions, in their movement towards digital platforms during this period. The analysis and reflection provide an initial approach and show that the digital strategy achieved its objectives by engaging the public and volunteers, but without deepening debates on public policies. The study highlights that there is much to be explored in the context of the use of social media networks by the museum agency in the daily life of museums affected by climate change; and demonstrates the importance of digitizing museums and using social networks in expanding the reach of museum communication, especially in crisis contexts.

This article approaches video games, their products and social practices from a socio-semiotic perspective, focusing on the modes of behavior of the sense associated with retro. The research that appeared in the field of game studies approached the issue of retro mostly from the category of nostalgia and have taken celebratory or lapidary positions that did not advance the understanding of the phenomenon. Here we propose an analysis that examines the functioning of stylistic taxonomies, the self-consciousness of some genres with regard to their own history and the attempt to restore playful experiences attached to old devices. The article proposes an approach to retro following the concepts of style, genre and device. This segmentation of the question around the references to the past reveals that retro can exhibit different semiotic functions depending on the dimension observed: stylistic taxonomies such as 8-bit or CGA promise a return to a technological moment, even if their reference systems concentrate on a delimited corpus of games and expressive operations; the nostalgic survival of a specific genre such as fighting games evidences a tension between audiovisual modernization and the insistence on old tactile pleasures; and the launching of new games for old consoles confirms that the enjoyment of video games is not restricted to their diegetic worlds, but also extends to the device and paratexts (such as boxes and manuals) that have accompanied the life of the medium and its consumption since its origins.