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This paper approach the study of transmedia phenomenon as a set of relationships that involves not only intertextual narrative conditions, but also anthropological. With two goals: first, to structure a system that serves intertextual analysis tool to own transmedia products of the culture industry and the second, to generate possible keys to be used as a pedagogical strategy in the classroom to encourage reading and writing in conjunction with other symbolic systems. So, the article introduces the reader to the phenomenon of transmediality, which is then reviewed proposals from Henry Jenkins and Marsha Kinder that serve as material for developing a transmedia Intertextual System, which applied as a methodology for the analysis of a case of the entertainment industry, The Walking Dead ®.

From the above and way of results, the text identifies key for this type of transmedia systems, which are applied as instructional strategies for teaching in basic education levels in secondary and high schools, as evidenced in the The Odyssey study. Finally, in conclusion exposes the importance of exploring the possibilities offered by the study and reflection transmedial in areas that transcend the world of entertainment.

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The European Commission has a strong compromise in matter of developing eco-friendly designs for airborne systems to reduce both manufacturing and in-service contamination related to those elements. One of the main approaches in this sense is to substitute metal parts by stiff, light-weight, multifunctional and recyclable polymer-based compounds which allow eliminating hazardous surface treatments and also permit reusing the materials at the end of life of the components.

In this framework, ECOFUNEL project was launched by Liebherr Aerospace SAS with the consortium formed by FIDAMC, CTAG and CANOE, and with the financial support of the European Commission under the Clean Sky 2 initiative. The work aims to giving alternatives to current metal valve bodies of air conditioning systems for aircraft, by investigating the use of thermoplastic while addressing the challenge of keeping sufficient electrical conductivity and mechanical properties of the part.

The research line put the focus on the development of new functionalized material formulations based on high performance injection molding thermoplastic compounds with enhanced electrical feature. New formulations are designed, produced and studied systematically within ECOFUNEL and a final prototype element will be created employing the ad-hoc own-designed materials.

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In this paper, we develop a novel analytical framework to investigate the Mittag-Leffler stability (MLS) of fractional order reaction—diffusion systems (FO-RDs). By employing fractional calculus and Lyapunov function (LF) techniques, we derive sufficient conditions that guarantee the system’s equilibrium point (EP) is reached within a settling time (ST). Our approach provides explicit estimates for the ST, linking the fractional dynamics to practical stability criteria. The theoretical results are rigorously validated through numerical simulations on a glycolysis RD model, which demonstrates rapid convergence of the state trajectories to the unique equilibrium. These findings not only deepen the understanding of the transient behavior in FO-RDs but also pave the way for applications in biomedical engineering, chemical reactor design, and environmental management, where swift stabilization is essential.OPEN ACCESS Received: 30/03/2025 Accepted: 17/06/2025 Published: 22/09/2025

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The consensus control problem to be discussed in this paper is concerned with nonlinear multi-agent systems with unknown dynamics, unknown fractions, time-varying delays, and input saturation limits. In order to address these difficulties, an adaptive control system is established, incorporating a recurrent general type-2 fuzzy neural network (RGT2FNN) with a biogeography-based optimization (BBO) algorithm. The RGT2FNN is used to model nonlinear functions that are not known offline, and the BBO algorithm also optimizes the parameters of the fuzzy network and performs offline identification of the fractional order by minimizing multi-step model prediction error. In order to make the model more resistant to modeling uncertainties, time-varying delays, and actuator saturation effects, a LMI-based compensator is proposed to ensure the stability of the closed-loop. Lyapunov analysis guarantees the boundedness of consensus errors. The simulation findings prove that the suggested methodology can attain an accurate consensus tracking and strong performance when the uncertainties are harsh, the delays may change with time, and the limits of input saturation are taken into account.OPEN ACCESS Received: 06/01/2026 Accepted: 16/03/2026