Recovery of movement is a long and hard process for patients. One of the most common problems that occurs is the so-called “phantom limb", which induces the body to feel strange due to the failure to use the injured limb. This process is due to the lack of use of the leg that in most cases is fractured and the long recovery time, so the use of crutches makes the body in conjunction with the brain understand that normal movement of the body is with the leg suspended and always with the help of crutches. In the present work a technique for the retraining of the brain is presented by means of which the brain is taught through the presentation of images if it corresponds to the right and left side of the arms and legs. This retraining makes it possible for the brain to understand the coordinated movement between the arms and legs. In addition to the use of virtual reality, through the OCULUS GEST II lenses, allowing maximum concentration, the results allow to improve the recovery time of patients, the technique can be used both in rehabilitation centers and in the patient’s own home patient.

The present research seeks to offer an extension of Michael Porter's traditional value chain, to adapt it to the new era of social responsibility awareness in SMEs. Applied research with experimental design was conducted. The applied statistical analysis showed in the results of the variables that there is a strong relationship between value chains and social responsibilitycompetitiveness in 74.5%. Also, in the statistical results of indicators it was obtained that the indicator of digital social marketing reached 63% of the collections by number of observations made in the measurement in SMEs compared to the indicator of sales competitiveness that had a maximum range of 90% and sales growth reached only 1% of the collections by number. Therefore, this research affirms that there was a positive impact on sales due to the preference of customers and increased performance of workers, also producing a differentiation in the image of the company, being a determining factor of advantage.

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According to current evidence in university research, it was proposed to develop a type of virtual assistant tha t uses artificial intelligence to support university students in the development of thesis, determining the influence on scientific production as a support tool. A methodology study was carried o ut in which it is presented as applied research with an experimentalpre-experimental design at an explanatory level with a quantita tive approach. The applied statistical analysis showed that the results of the measurements carried out show that the degree of application is effective, thus indicating that the time dimension has 82.27% , quality 95.83% and knowledge 88.46% . being so that in the comparative results of measurements 1 and 2 of the time dimension they are close to 94% compared to the quality dimension that presents 97% and the third knowledge dimension a percentage result of 90% . Therefore, in the present investigation it was evidenced that the proposal of the generation of a tentative consistency matrix by a virtual assistant based on Artificial Intelligence allowed to clarify the viability of a thesis topic elaborated by university students.

In this scientific article, a proposed sales processmaturity model for beauty and personal care products companies, the some one that was used as an instrument to carry out pilot test, where indicators for measuring improvement were taken into consideration. In addition, the objective was to guarantee the realization of the process adapted to the new tendencies, specificallyto the CM M I methodology; all this allowed to obtain as a result an efficient a nd effective sales process model. Finally, it was possible to identify a significant difference in the amount of time of a sale before using the designed maturity model and the time of a sale after the implementation of the Framewo rk : which implies a decrease in the amount of time of a sale for the time of a sale post framework. The results produced were, that in the Pre-Test a value of 3 minutes was obtained, in the Post-Test it was 2 minutes, this shows a decrease in the average time of a sale after implementing the maturity model; also, the maximum average time of a sale in thePre-Test was 10 minutes and in the Post-Test 7 minutes ha ving implemented the maturity model.