Introduction: vocational training and guidance are fundamental for the advancement and triumph of students in both their academic and professional endeavors, as they equip them with crucial decision-making tools before selecting further studies aligned with their professional passions and social demands. Objectives: the proposed objective of the study is to evaluate how the implementation of a vocational training and guidance strategy fosters students' propensity to choose career paths for their educational progress at the "Leonidas Gruezo George" Educational Unit in the 2024 school year. Methodology: the research adopted a quantitative approach characterized by detailed, correlational and applied research. Employing inductive and synthetic analytical methods, data were collected through surveys using questionnaires exploring socio-cultural aspects, involving a cohort of 47 students with post-secondary education as they approached a crossroads in their technical career options. Results: The results obtained after the training revealed a change in the students' perception of their preferred career paths, with technical fields becoming the most favored disciplines, illustrating the positive impact of vocational training on career decision making. Conclusions: It was observed that the intervention process through vocational training and vocational guidance, as students were initially inclined towards health, administration, and education-oriented careers and then their perception changed towards technical careers due to their characteristics and advantages. This suggests that vocational training exerted a favorable influence on the students' career prospects.

Introduction: The benefits derived after the usage of technology in education, particularly in the field of foreign language teaching and learning, are countless. However, critical research has evidenced that the privilege assigned to technology hides consequences that most students and teachers are not conscious of. Objective: In this regard, this study aims to elucidate to what extent English teachers are cognizant of the threats hidden in the implementation of technologies in their classrooms. Methodology: For this, the study transits under the interpretative paradigm and mixed approach of scientific research. For the data collection process, a survey and a semi-structured interview were applied to the population. Results: The principal results evidenced a naive position of the participants who ignore that an acratically usage of Technology evokes not only academic risks but, also ethical, labor, and societal ones. Conclusion: These circumstances demand teachers adopt a critical position regarding what, when, and how to use technologies in class. General Study Area: Education. Specific Study Area: Educational Technology.

Introduction: In crude oil refining, the Fluid Catalytic Cracking (FCC) process converts crude oil into high-quality petrochemical products. Understanding molecular interactions in FCC is crucial for optimization, efficiency, and quality purposes. This quantitative and descriptive study analyzes Cartesian coordinates of key compounds, employing computational chemistry for this purpose. Methodology: Quantitative and descriptive. Through a literature review, typical chemical compounds feeding into the FCC process were identified, including paraffins, olefins, aromatics, and naphthenes among others. These compounds were processed using computational chemistry to obtain their 3D coordinates, optimizing their molecular geometry to represent the real structure, ensuring reliable data accuracy in subsequent simulations and analysis. Analysis and Discussion of Results: Cartesian coordinates aid in understanding and identifying optimal operating conditions, enhancing the comprehension of molecular interactions in real time and facilitating the prediction of separation behaviors. These coordinates are envisaged to optimize crude oil refining processes in FCC, through modeling and visualization of atomic-level movements and collisions. Conclusions: Optimizing molecular geometry using the appropriate force field is crucial for obtaining precise Cartesian coordinates. These coordinates enable the simulation of molecular interactions at the atomic level, design of more efficient catalysts, and optimization of refining processes. Additionally, real-time monitoring with accurate molecular data could ensure consistent product quality in FCC.

Introduction: Refinery alkylation is crucial for the production of high-octane gasoline with low emissions, meeting environmental requirements and demands of today's automotive industry. This study provides data obtained by computational chemistry analysis of the chemical compounds in the refinery alkylation process input stream, which is expected to significantly improve fuel quality and process efficiency. Objective: The objective of this study is to analyse the lipophilicity values of chemical compounds in the refinery alkylation process input stream, which are identified through an exhaustive literature search and analysed by computational chemistry using the iLOGP, XLOGP3, MLOGP, WLOGP and SILICOS-IT methods. The aim is to understand how the lipophilicity of these compounds influences their behaviour during this crude oil refining process, in order to improve the efficiency and selectivity of this process. Methodology: In this study, observation, measurement, experimentation and systematic and rigorous interpretation of the results are carried out. By means of analysis and bibliographic search, the compounds present in the input flow to the alkylation process in the refinery are determined. These compounds are processed by computational chemistry to obtain the lipophilicity values of each molecule. Subsequently, these values and their influence on the relevant variables of the refining process are meticulously analysed. Results: Consensus Log Po/w combines computational methods to estimate the Log Po/w of each molecule, improving the accuracy of the predictions. This study focuses on analysing the lipophilicity of compounds in the inlet stream for refinery alkylation. Propylene has the lowest value, while n-pentane has the highest. Lipophilicity ensures the solubility and efficiency of the process. Conclusions: The lipophilic characteristics of compounds in the alkylation feed stream are crucial in crude oil refining. Understanding and predicting lipophilicity can be achieved with computational methods such as iLOGP, XLOGP3, WLOGP, MLOGP and SILICOS-IT. Consensus values of lipophilicity range from 1.35 to 2.45, affecting solubility in organic phases and interaction with catalysts, which influences the efficiency and yield of alkylation in refinery.

Introduction: One of the alternatives for the teaching of physics is the application of knowledge and means which are offered from neurodidactics. This scientific discipline is developed from its own inquiries and from other fields of science. However, there is an arduous road to go in the scientific researches that allow the establishment of the epistemological, theoretical and methodological basis of this emerging discipline, which, particularly in the teaching and learning of physics, the studies are still limited. Objective: is to show an approximation to a neurodidactic approach to the teaching of physics in the short-cycle training program for Medical Biophysics Higher Technicians in the University of Medical Sciences of Matanzas. Methodology: The analytical-synthetic method was used to determine the essential aspects of the scientific results that are related to the research topic. Induction-deduction favored determining regularities from the facto-perceptual and configuring the theoretical aspects that are proposed. The hermeneutic-dialectical was used to interpret the theoretical information and carry out a critical analysis. Results: The theoretical aspects that underpin the neurodidactic approach and the steps that must be taken into account to apply it in the teaching of physics are established. Conclusion: The contributions of the neurodidáctics favor the understanding of the teaching-learning process of physics and constitute a theoretical framework that enables the design of tasks and activities that enhance attention and motivation towards learning.