The human ankle is a complex joint, most commonly represented as the talocrural and subtalar axes. It is troublesome to take in vivo measurements of the ankle joint. There are no instruments for patients lying on flat surfaces; employed in outdoor or remote sites. We have developed a “Turmell-meter” to address these issues. It started with the study of ankle anatomy and anthropometry. We also use the product of exponentials’ formula to visualize the movements. We built a prototype using human proportions and statistics. For pose estimation, we used a trilateration method by applying tetrahedral geometry. We computed the axis direction by fitting circles in 3D, plotting the manifold and chart as an ankle joint model. We presented the results of simulations, a prototype comprising 45 parts, specifically designed draw-wire sensors, and electronics. Finally, we tested the device by capturing positions and fitting them into the bi-axial ankle model as a Riemannian manifold. The Turmell-meter is a hardware platform for human ankle joint axes estimation. The measurement accuracy and precision depend on the sensor quality; we address this issue by designing an electronics capture circuit, measuring the real measurement with a Vernier caliper. Then, we adjust the analog voltages and filter the 10-bit digital value. The Technology Readiness Level is 2. The proposed ankle joint model has the properties of a chart in a geometric manifold, and we provided the details.

The ankle is a complex joint with a high injury incidence. Rehabilitation Robotics applied to the ankle is a very active research field. We present the kinematics and statics of a cable-driven reconfigurable ankle rehabilitation robot. First, we studied how the tendons pull mid-foot bones around the talocrural and subtalar axes. We proposed a hybrid serial-parallel mechanism analogous to the ankle. Then, using screw theory, we synthesized a cable-driven robot with the human ankle in the closed-loop kinematics. We incorporated a draw-wire sensor to measure the axes’ pose and compute the product of exponentials. We also reconfigured the cables to balance the tension and pressure forces using the axis projection on the base and platform planes. Furthermore, we computed the workspace to show that the reconfigurable design fits several sizes. The data used are from anthropometry and statistics. Finally, we validated the robot’s statics with MuJoCo for various cable length groups corresponding to the axes’ range of motion. We suggested a platform adjusting system and an alignment method. The design is lightweight, and the cable-driven robot has advantages over rigid parallel robots, such as Stewart platforms. We will use compliant actuators for enhancing human–robot interaction.

En los últimos años las universidades han elevado el número de estudiantes y programas académicos, lo cual exige optimizar sus recursos en tecnologías de la información con el fin de brindar cobertura y funcionalidad, permitiendo cumplir a estudiantes, profesores y administrativos sus funciones. Ante tal exigencia, se realizó un estudio sobre la Administración de Servicios de Tecnologías de la Información en la facultad de Ciencias Básicas e Ingeniería. Mediante el uso del ciclo Planear, Hacer, Verificar y Actuar, se definieron servicios, catálogos y SLA, se implementó OTRS como herramienta ITSM para el manejo de incidencias, permitiendo de esta manera controlar y mejorar la calidad de los servicios ofrecidos a la comunidad universitaria.

Currently, the use of the tools of information technology and communication in education has begun to strengthen the field of teaching and learning, however, the application of pedagogical models that focus on student learning increase response apprehension of knowledge by the learner. From this perspective, metacognition becomes an incentive to improve the student to self-regulate their learning processes. Therefore, this research includes a component in the area of digital technology for the process of design and development of Multimedia Educational Material (MDM) in Plant Histology for obtaining a package containing a digital book software and a series of video explaining the issues that relate to the topic of biology worked through tools Adobe suite. On the other hand, the pedagogical application was performed using a metacognitive strategy to improve the learning process of students Lic. In Agricultural Production (LPA). Followed proceeded to its application to the courses of Biology, Botany and Plant Education I, II and IV semester LPA, respectively. The implementation of MDM regulated metacognitive strategy was the teacher and teaching assistants for each course during the semester as axes. This was done to generate selflearning skills in students. Thus, the main findings relate to any of the courses students lost the shaft material in which the MDM Plant Histology was running. Moreover, in the scope of skills and metacognitive skills, students met up on average in each of the courses by 1.0, equivalent to an improvement of twice that they set according to the initial test performed. In conclusion, the combination of MDM and the use of an educational component allows and enables students to acquire skills that will facilitate learning.

Rice feeds an estimated 3.5 billion people worldwide, making it central to global food security. Early detection of disease is essential to protect yields, and augmented reality (AR) offers unique potential through hands-free, firstperson data capture that can deliver real-time diagnostic support in the field. Yet AR-based disease recognition remains constrained by dataset scarcity, as infections are seasonal, environmentally dependent, and costly to annotate. To address this gap, we introduce a pipeline that uses DALL E 3 generative editing to synthesize diseased rice leaves from healthy AR captures. The resulting synthetic datasets were used to train a YOLOv11n model and benchmarked against real diseased AR images. The model achieved strong performance $(\text{mAP} {@} 0.50=0.78)$, confirming that AI-generated lesions preserved diagnostic traits relevant for robust detection. By providing a data-efficient pathway toward smarter crop health monitoring, this research supports Sustainable Development Goal 2 (Zero Hunger) and advances sustainable food security through technological innovation.

This article describes the characteristics of an application that aims to strengthen or enhance the logic of students in computer programming courses. This tool is another contribution to the teaching strategies used by teachers in the teaching / learning of computer programming. With the use of open source libraries that facilitate the development of interactive environments the use and handling of components, led to the application called BLOCK-C, which allows the creation of algorithms based on logical assembly of components and similarly to visualize its corresponding C source code, this in order that students get to know the structure (syntax) of the C language and the way some instructions are encoded.