The today Technological University José Antonio Echeverría, in its beginnings the University City José Antonio Echeverría (CUJAE), whose old acronyms are still used for its popular recognition. With the triumph of the Revolution on January 1, 1959, a stage of revolutionary transformations at the national level began in Cuba and among the first were educational ones. Thus the conditions are created to initiate a true university reform, dreams until then unique of the great Cuban teachers: Varela, Martí, Mella, Varona and of all those who for years had fought and even given their lives to cement a worthy University that was only achieved with Fidel. It is attached to the Ministry of Higher Education of Cuba.On February 15, 2017, the National Accreditation Board awarded him the superior category of excellence, for his results in the comprehensive training of students, research and its impact on the municipality, the nation and abroad..
La Empresa de Telecomunicaciones de Cuba SA (ETECSA), ha tenido que enfrentar muchos retos para alinearse a las estrategias que ha adoptado el país. Sus principales transformaciones son tecnológicas, estructurales y organizativas. El estudio organizacional en ella, basado en su agente fundamental de cambio, los directivos, implica la búsqueda de mejores resultados. Se ha podido comprobar insuficiencias en la evaluación del desempeño, así como en la efectividad de la capacitación en los directivos de ETECSA, que limitan sus resultados. En este estudio se propone un procedimiento que diagnostica, evalúa y aplica acciones (entre ellas de capacitación) para mejorar el desempeño de los directivos, a través de competencias directivas alineadas a la Estrategia Nacional de Preparación y Superación de los directivos, así como sus potenciales sucesores.
The rapid growth of low-cost and open-source spectrophotometers has created a need for systematic methodologies to evaluate and compare alternative instrument architectures. This study presents a comparative assessment of three representative open-source spectrophotometric platforms, encompassing discrete multispectral sensing and continuous-spectrum imaging approaches. Their performance was evaluated against a commercial Thermo Scientific Genesys 30 spectrophotometer in terms of spectral agreement, portability, implementation complexity, and cost. The results demonstrate that no single architecture is universally optimal; instead, each presents distinct trade-offs that determine its suitability for specific applications. Multispectral sensor-based systems offer compact, low-power solutions for field deployment, whereas imaging-based platforms provide spectral performance closer to laboratory-grade instrumentation. All hardware designs, firmware, and software developed in this work are released as open-source resources to support reproducibility and further development. The study highlights the importance of matching instrument architecture to application requirements and proposes a practical framework for the evaluation and selection of low-cost spectrophotometers, facilitating the adoption of open-source analytical tools for water quality monitoring and related applications.
Sugarcane bagasse (SCB) is one of the main residues of the sugar agroindustry; its complex lignocellulosic structure limits its biodegradation and utilization in the production of bio-based chemicals. This study evaluated the effect of hydrothermal pretreatment of raw SCB (HPSCB; 140 ℃, 15 min; 62.3
The consumption of large volumes of natural resources in construction has led to the depletion of its sources of supply, that´s why it has become a necessity to take advantage of the waste generated in different industrial processes. The slag obtained in the steel manufacturing process constitutes one of those sources, to which added value could be given, also reducing environmental pollution. The research studies the performance of concrete by replacing Portland cement with white granulated steel slag in proportions between 35% and 45% at ages of 7, 28 and 180 days, evaluating their physical, mechanical and durability properties, as well as the influence of the type of slag cooling in this process. It is concluded that at late ages, slag can be used to partially replace Portland cement, without significant effects on the properties of concrete, although further improvement of its rapid cooling procedures is necessary.
In the last few years Generative Artificial Intelligence (GenAI) has taken universities by storm. This does not only affect the way what and how to teach and how to assess knowledge and competences in exams, but it also impacts the way how to do research. On one hand, GenAI has fast access to a huge amount of wide-ranging (explicit) knowledge and the capability to extract and combine knowledge that seems to be relevant in the context of certain research. On the other hand, research is closely linked to the human capability of being creative showing curiosity, care, collaboration, and critical thinking. Against this background, the paper addresses a question of immense social and also ethical relevance: May we use (Gen)AI as tool for scientific research and if so to what extent? The paper starts analysing the problem from a theoretical and conceptual point of view by comparing capabilities of GenAI with those of a good researcher. Based on this the complete research cycle is investigated to understand which capabilities are more helpful to achieve research results of high quality and novelty, but in an effective way. To gather empirical data from a self-experiment, the setup of an unexperienced researcher (e.g. PhD student) with just a rough idea about the intentional research focus was chosen. Addressing the first and fundamental phase of any research process, idea generation, by comparing performance of an AI researcher with a human one, results demonstrate the usefulness of combining strength of both worlds mandatorily keeping the human researcher in the loop. With this, the paper focusses on chances and challenges coming with the highly dynamic evolution of AI within a complex, knowledge-intense application area where human experience, problem-solving capability and creativity is decisive. It contributes to discussions about necessary adjustments in how organizations (and particularly universities) manage their knowledge generating potential considering artificial and human intelligence.
