Software development must be based on more than just the experience and capabilities of your programmers and your team. The importance of obtaining a quality product lies in the risks that can be exploited by software vulnerabilities, which can jeopardize organizational assets, consumer confidence, operations, and a broad spectrum of applications. Several methods, techniques, and models have been suggested and developed to address software security. However, only a few have solid evidence for creating secure software applications. The main objective of this paper is to survey the literature for methods or models suitable for considering the integration of security in all or some of the phases of the software development life cycle and which ones are most considered or neglected. This study represents the beginning of research to generate a methodology that integrates security practices in agile software development, allowing inexperienced developers to create more secure applications.

This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications. It highlights the evolution of gesture detection systems from the 1990s, which used computer algorithms to find patterns in static images, to the present day where advances in sensor technology, artificial intelligence, and computing power have enabled real-time gesture recognition. The paper emphasizes the role of hand gestures in virtual reality (VR), a field that creates immersive digital experiences through the Ma blending of 3D modeling, sound effects, and sensing technology. This review presents state-of-the-art hardware and software techniques used in hand gesture detection, primarily for VR applications. It discusses the challenges in hand gesture detection, classifies gestures as static and dynamic, and grades their detection difficulty. This paper also reviews the haptic devices used in VR and their advantages and challenges. It provides an overview of the process used in hand gesture acquisition, from inputs and pre-processing to pose detection, for both static and dynamic gestures.

In the last decade, great strides have been made to increase access to education and enrollment rates at all levels (primary, secondary, and higher education). Actions such as promoting equal access to education, preventing school dropout, and establishing free education, among other actions proposed by organizations such as UNESCO, seek to guarantee the universality of education. This is undoubtedly a great challenge, and to address it, it is necessary to characterize how students face the learning process, considering factors such as autonomy, competencies, and their own basic psychological needs, looking for effective learning models based on students’ needs in a changing world, where ICTs play a relevant role. This research analyzes learning models, motivation, self-determination, and technologies used for learning achievement in higher engineering education. The study will highlight relevant initiatives and the most commonly used technological tools. It will also identify learning models that seek to link emotional intelligence, self-determination, cognitive skills, and ICT. The PRISMA protocol guided the study, finding 132 relevant articles to be analyzed and proposing best practices in using learning models, strategies, and ICT to foster students’ intrinsic motivation.

Today, sustainable engineering faces challenges, highlighting the need to develop sustainable technologies and systems to support these new engineering projects and services. These sustainable engineering challenges aim to achieve a balance between people and the planet. To this end, 17 Sustainable Development Goals and 169 targets have been formulated, constituting the internationally accepted global sustainability aspirations for 2030. To address this issue, it is necessary to characterize its product life cycle; if there are models for the integration of sustainable engineering in policies, strategies, and programs of public and private institutions, what would be its impact at economic and social levels and its sustainable social engineering, and how would the gender approach impact these areas since it is an inclusive part of the SDG 2030 and plays a relevant role? This research analyzes models of social inclusiveness, engineering products and services for sustainability, and integration into sustainable development goals of engineering products and technology, reviewing whether gender equality or equity is present in their application and development. This study highlights relevant initiatives and the most used technological tools. The PRISMA protocol directed this study, which identified 252 pertinent articles for analysis and suggested effective practices for employing products, services, and technologies to advance sustainable engineering in the near term.

A new bio-inspired meta-heuristic, called the micro artificial immune system (MAIS), has been developed in order to reduce the rates of pollution for a specific region of Mexico City through the optimization of vehicular flow. Simulation of urban mobility (SUMO) was used to simulate the effects of the programming of the traffic lights obtained by the MAIS. Currently, pollution and travel times from one place to another are increasing due to the number of inhabitants that live in big cities, which has generated a decrease in people’s quality of life. Hence, we propose the optimization of the programming of the sequences of traffic lights through this bio-inspired meta-heuristic. The obtained results show that the MAIS outperforms most of the algorithms tested in this research.

A pesar de tener una planeación definida se da un giro radical consecuencia del COVID-19, situación para la que nadie estaba preparado, y menos aún, el sector educativo. Por lo anterior, el presente artículo tiene como objetivo indagar sobre las estrategias y alternativas a utilizar para que los estudiantes de básica secundaria y media técnica de una institución educativa adquiera hábitos, estilos y modelos de autoaprendizaje en el uso adecuado de herramientas tecnológicas, contribuyendo al mejoramiento académico. La investigación se realizará bajo el método analítico, paradigma positivista, enfoque cuantitativo, diseño descriptivo, tipo no experimental; con una población aproximada de 212 estudiantes, muestra 84 y soportada en tres aspectos: (a) Sondeo inicial sobre equipos tecnológicos con los que se cuenta, manera de emplearlos; (b) Tiempo dedicado al uso; (c) Aplicación como material apoyo. La técnica de recolección de datos se realizará mediante formularios en Google Forms, acerca del uso adecuado de dispositivos digitales aplicados en el proceso enseñanza aprendizaje. El análisis se hará con porcentajes, utilizando la técnica de frecuencias respuestas escala tipo Likert. Finalmente, se determinará la necesidad de capacitación a la población en el uso adecuado de las Tecnologías de la Información y de la Comunicación (TIC); a la vez, rediseñar los planes de área, cambiando modelos tradicionales, que den importancia a las ayudas tecnológicas en las actividades escolares, independientemente si hay pandemia o no.