Alexi Delgado’s research while affiliated with Pontifical Catholic University of Peru and other places

The clients of the Gamarra emporium spend too much time finding the store that sells their desired garment, as well as the address, this situation makes the purchase made by the clients tedious, but above all they do not feel satisfied and no longer want return to make purchases, since there are too many buildings that are not grouped by category and that causes them to waste too much time searching. The proposal of this research work is to implement a mobile application whose storage allows, mainly, the search for garments according to the needs of each client, in addition to this they will have the option of seeing the path to reach the store in which they wish to buy, this will have a very positive effect on customer purchases, reducing search time. The results of this research work yielded very interesting results, in the analysis that was carried out it was obtained that the vast majority of the surveyed population considers that the implementation of this mobile application is totally necessary. Below, you will be able to observe in detail the research work carried out.

This article describes the development and evaluation of a web system that aims to improve and reinforce mathematics learning in primary school students in Peru. Mathematics education is central to the school curriculum and it is important that students gain a solid understanding and ability to apply mathematical concepts in everyday situations. However, it is common for students to have difficulty learning and understanding courses in this subject, which can negatively affect their academic performance and self-confidence. To address this issue, a web-based system was developed that includes interactive lessons and personalized learning tools that are tailored to the individual needs of each student. The system also offers online resources and activities to help students deepen mathematical concepts and apply them to practical problems. To evaluate some drawbacks, a study was carried out with a group of parents of some primary school students in Peru. The results of the study showed that there is a worrying distrust of online study. Technology is set to revolutionize the way primary school students in Peru learn and study, providing access to a wide variety of digital resources and tools that can improve comprehension and academic performance. This work demonstrates the effectiveness of the web system developed as a tool to improve and reinforce mathematics learning in primary school students in Peru. The system provides a personalized and adaptive online learning platform that can help students improve their math skills and understanding, and increase their motivation and confidence.

Stress is a disease that goes unnoticed in most cases, currently the world is going through a global pandemic that in many cases has generated an increase of the stress level in the population; however, this disease is a response of the organism to stress factors, such as the work and educational environment, implying that the university population is very prone to suffering stress or already has it, for this reason, the present work is focused on they. Finally, a web system will be developed to a large extent that will allow detecting stress in university students through a form, for which multiple web technologies will be used, in addition to the Scrum methodology. In this way, a website prototype was obtained that meets two objectives, the detection of user stress and ensuring that they obtain the necessary information so that they know the causes and effects of this disease, as well as activities that help them to cope, control and overcome stress; thanks to this present project, the user will be able to know their stress level and knowing the severity of this, they will resort to the necessary professional help, achieving in the future, reducing the stress index in the university population.

The research focuses on children with Autism, who cannot access education either because they do not have a school near their homes or because they are misinformed by their parents that they can access education regardless of their disability. By not receiving an education, children are deprived of their right to education. The objective is to design a prototype of an educational platform taking advantage of technological tools for the learning of children with special educational needs. A hybrid methodology and the Balsamiq tool were used, as they were appropriate for developing the project. The result is that children with disabilities can learn by interacting with technology and in the same way their parents can visualize some exercises and crafts that they can do at home with their children, since it is based on their educational needs. It is concluded that teachers are in total agreement with the use of technology for children with autism, since this will help to improve their learning. The research contributes to society, teachers and parents with children with autism problems.

Industrial hygiene is a preventive technique that tries to avoid professional illnesses and damage to health caused by several possible toxic agents. The purpose of this study is to simultaneously analyze different risk factors (body vibration, lighting, heat stress and noise), to obtain an overall risk assessment of these factors and to classify them on a scale of levels of Unacceptable, Not recommended or Acceptable. In this work, an artificial intelligence model based on the grey clustering method was applied to evaluate the quality of industrial hygiene. The grey clustering method was selected, as it enables the integration of objective factors related to hazards present in the workplace with subjective employee evaluations. A case study, in the three warehouses of a beer industry in Peru, was developed. The results obtained showed that the warehouses have an acceptable level of quality. These results could help industries to make decisions about conducting evaluations of the different occupational agents and determine whether the quality of hygiene represents a risk, as well as give certain recommendations with respect to the factors presented.

Currently, student research at the university under study is carried out from the first semesters until the student graduates, but it is necessary to make adjustments to its guidelines that include student research within a teaching-learning process. The objective of the research is to propose a model of student research, using causal diagrams and forrester diagram; then carry out a simulation of the projection from 2021 to 2026 with the variables, students, quality teachers in the research, completed work for publication in journal or conference; and thus index in Scopus or Web of Science. Besides, in the methodological part, the systems dynamics method was applied, based on the systemic approach. The research work is predictive, which was carried out with the Vensim software, obtaining as a result of the simulation, an increase in the production of complete Works by the students; where in 2026 around 300 articles will be published by the students. In addition, there will be about 12 full-time quality research professors and approximately 6,000 students in 2026. The conclusion reached in the research is that the model helps the authorities make decisions appropriately according to the forecasts made in the different scenarios made with the Vensim software.

Water quality is an important topic for countries like Peru, where the mining sector is one of the main economic activities, so the study of its impact on water quality is also necessary to have a regular control of benefits and dangers. In this way, to achieve this objective, the chosen methodology was grey clustering, which is based on artificial intelligent theory. Specifically, the central point triangular whitening weight function better known as CTWF, which is an approach from grey clustering, was used. The case study was focused on the Mashcon and Chonta rivers, located in the province of Cajamarca, Peru, these rivers are directly affected by an open pit mine. The study was carried out taking into account thirteen monitoring points taken by National Water Authority (ANA). The results showed that all the points considered were classified as not contaminated, A1 category, this using the parameters of the Peruvian government. With these results, the mining company was able to demonstrate that they are taking the water quality into account and that they are making an effort to keep these rivers as healthy as possible.