The Covid-19 pandemic has undoubtedly affected the education sector; its possible consequences include the development of burnout and the intention to dropout. Thus, the objective of this research was to determine if, in Mexican university students, fear of Covid-19, emotional exhaustion and cynicism are antecedents of the intention to drop out of school. A quantitative, empirical, non-experimental and cross-sectional investigation was carried out on 478 students during the Covid-19 pandemic. The analysis technique was a model of Structural Equations with Partial Least Squares [PLS-SEM]. The evidence indicates that the fear of Covid-19 directly and indirectly affects the intention to dropout, through emotional exhaustion and cynicism. The limitations of the study imply the use of a non-probability sampling. The value of the research lies in the contribution to the understanding of the effects of the fear of contracting the disease on the intention to abandon university studies. It is concluded that the fear of Covid-19, cynicism and exhaustion directly and indirectly influence the intention to abandon school.

The Integral Ergonomic-Value Stream Mapping (Ergo-VSM) methodology is introduced in this study, which is tailored for the metal-mechanic sector and aims to assess the operational and ergonomic conditions of production processes. The methodology is designed to identify ergonomic risks and propose an improvement plan to increase productivity by integrating ergonomic measurement instruments aligned with official standards and lean manufacturing tools such as VSM and Kaizen. The study, which was conducted in a metal-mechanical MSME (micro, small and medium enterprises), resulted in an 11.8% overall improvement in psychosocial risk factors, a 4.4% increase in productivity with a 1.96-h reduction in cycle time, and a 20% decrease in reported quality rejections. Notably, the study shows that the Integral Ergo-VSM can be implemented in a variety of organizational contexts, ensuring adaptability without jeopardizing the methodology’s core objectives.

As interest in additive manufacturing (AM) continues to increase, it has become more important to have a robust method to help potential users select the AM process that best suits their technological needs while providing the greatest potential benefits in terms of sustainability and its effect on people. This paper presents the development of a framework for selecting the best AM process for a given application by considering both sustainability and human factors through the combination of axiomatic design and the analytic hierarchy process. Thirty-one participants with varying levels of expertise (novice and advanced users) were involved in the study, considering the frequency of 3D printer usage (novice users: never, rarely; expert users: sometimes, almost always, always) for prototyping parts. They employed fused deposition modeling (FDM) and stereolithography (SLA) (both 3D desktop printers) and collected data on five evaluation criteria. The participation of experts helped establish a novel methodology, with material cost deemed most important (49.8%), followed by cycle time (28%), energy consumption (11.7%), error rate (6.6%), and equipment noise (3.9%). The results showed that FDM was the optimal equipment option for advanced users. By examining the information content of the other options, it was found that FDM demanded less information than SLA, regardless of the user’s level of expertise. The proposed method is appropriate to assess the sustainability aspect of FDM and SLA; however, it can be further improved by adding indicators such as environmental impact, recyclability, and ergonomic and occupational health factors.

In recent years, burnout has emerged as one of the most important work risks. Continuous chronical emotional and interpersonal stressors at the workplace can lead to burnout. Among those, psychosocial risk factors are things, events, or circumstances that may affect workers' health due to their work and workplace conditions and may result in burnout. The purpose of this research was to design and validate a scale to evaluate the relationship between psychosocial risk factors and burnout within the aerospace manufacturing industry. A reliable, valid scale was obtained, which can be applied to operative personnel.

RESUMEN Un gran número de fracturas de húmero proximal están siendo tratadas con osteosíntesis. Sin embargo, la pérdida de reducción sigue siendo un problema grave, lo que lleva al recorte de tornillo en la articulación humeral y la reoperación. De acuerdo con la teoría del strain interfragmentario, se debe considerar el equilibrio entre una fijación flexible, que estimula la formación de callos, y una fijación inestable, que conduce al fallo del implante. Los principales elementos implicados en este caso son las condiciones fisiológicas de carga, la configuración de los tornillos de soporte, el material del implante y la calidad ósea. El objetivo de esta investigación es detectar la influencia de los elementos anteriores para formular una escena positiva que minimice el riesgo de fracaso. Se utilizó un diseño de experimentos de tipo factorial en combinación con el uso del método de elementos finitos para dar lugar a la recogida de datos. Las condiciones de carga asemejan a: “sostener un peso muerto” (tensión), “levantar frontalmente un peso muerto” (flexión) y torsión. Los resultados sugirieron que el material del implante es el elemento con mayor influencia y contribuye a estabilizar la fijación de la fractura, siguiendo la configuración de soporte. La práctica de incluir un soporte medial con tornillos calcar en diferentes calidades de tejido óseo ofrece una rigidez favorable que aquellos que no los utilizan. Esta afirmación es apoyada por resultados de informes publicados recientemente. Además, el soporte medial reduce el strain en la interfaz hueso-implante. Aunque estos resultados mostraron una evaluación demasiado moderada por el uso de un modelo isotrópico, son eficaces para conocer los elementos biomecánicos y su influencia para describir una tendencia de comportamiento y crear una base para futuros estudios. Además, el tiempo de cálculo disminuyó considerablemente.

Recycling of composite materials has become a very important topic to develop sustainable solutions for the management of waste generated by industries that use composite materials. This paper presents a bibliographical review on the main recycling methods of composite materials such as: mechanical, chemical, thermal and hybrid. In mechanical recycling, the material is crushed or ground, generally using the resulting material as filler, which causes limitations in the applications due to the type of resulting fibers (short, long, non-uniform). On the other hand, chemical recycling breaks down polymers through a chemical reaction and recovers fibers, so in some cases the mechanical properties of the fibers are affected. Thermal recycling uses high temperatures to break down materials, transforming them into energy or reusing them in other products. Finally, hybrid recycling uses two or more processes as a means to recover the material; among the most used methods in this category is the mechanical process combined with the thermal process. This review describes the advantages and disadvantages of each method, as well as the environmental impact. Although each type of recycling offers special characteristics for the material obtained, it is necessary to continue researching and developing technologies for recycling processes that promote recycling and reuse of composite materials in a better way.