Pedro José Argumedo Teuffer

This chapter presents an analysis of the relationship between creativity and soft skills within the contemporary educational context, highlighting their fundamental role in the training of agents capable of addressing the challenges of a society characterized by constant transformation, digitalization and the complexity of professional environments. The cognitive process is conceived from a sociocultural perspective, soft skills from a socioemotional, subjective and transversal perspective and the psychological perspective of the social agent as a trigger for autonomy, self-efficacy, self-sufficiency, self-regulation and metacognition, all of which together directly influences the agent's ability to manage learning, make decisions and adapt to different personal and professional situations. Based on this conceptual framework, various constructivist educational strategies are discussed to promote and develop creativity and interpersonal skills based on their explicit and structural integration in the curricular design.

The following research focuses on the study of the behavior of air plasma developed inside a 200 kW arc-jet constrictor. The scope of the analysis performed in the present document is focused specifically on the velocity fields and their characteristics inside the constrictor domain. Among them, the velocity magnitude, the distribution of the radial profiles at different stations along the length of the constrictor, and the axial velocity profile distribution. The analytical study considers mathematical models, which include air properties like specific heat, thermal conductivity, electric conductivity and enthalpy. The axial enthalpy distribution is shown at different radii of the constrictor in order to explain the presence of the velocity fields inside the control volume of interest. In the present work, it was found that the magnitude of the air plasma velocity fields increases due to the contact with the electric arc along the constrictor, reaching maximum velocity values of 5000 m/s at 10,000 K in the center of the constrictor and gradually decreasing when the constrictor radius approaches the wall. These findings provide insight into performance aspects of an arc jet constrictor using atmospheric air as a propellant. A key limitation of the present study stems from the initial assumptions and restrictions detailed in the Materials and Methods section. These constraints inherently alter several plasma flow parameters, namely the Lorentz force, the radial variation of the electric potential, etc.

Unmanned aerial vehicles (UAVs) are increasingly employed in domains such as military operations, search-and-rescue missions, and surveillance. Recent research efforts have sought to integrate the advantages of fixed-wing and rotor-wing aircraft. Tail-sitter UAVs represent a class of hybrid platforms that combine rotor-wing vertical take-off and landing with fixed-wing forward-flight capability. These vehicles operate in three flight modes: vertical, horizontal, and transition. Depending on the transition mechanism, tail-sitter UAVs can be classified as mono-thrust transitioning (MTT), collective-thrust transitioning (CTT), or differential-thrust transitioning (DTT). Despite their potential, tail-sitter UAVs present substantial challenges in aerodynamic design and flight control, particularly with respect to instability and sensitivity to external disturbances. To address these issues, this work proposes an approach grounded in artificial intelligence and adaptive control principles. In particular, neural networks with tunable parameters, including inputs, weights, and transfer functions, are employed to enhance system robustness across varying operating conditions. Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i1.1230 Dimensions.Open Alex.