The Autism Spectrum Disorder is diagnosed from birth is why they must have early stimulation that helps them to control some characteristics, improving their attention, auditory stimulation, and their social stimulation. That is why we have the objective of designing a mobile prototype for early stimulation in children with autism. In the methodology we use Design Thinking which has five phases (Empathize, Define, Ideate, Prototype, Testing) which is responsible for analyzing and solving user needs by proposing innovative ideas, for the mobile prototype we use the Figma tool, with Tinkercad we make 3D models and for an augmented reality we use MetaClass Studio these three tools are complemented to meet our goal. Our results show the solution for each phase of our methodology with 80 people involved in the analysis and finding the main problems, which we are responsible for solving by proposing the mobile application with augmented reality being validated by experts, with a level of acceptance of 94% guaranteeing their approval of the project, The analysis of usability by those involved was very effective with a 96% by specialists in early stimulation, parents and children with autism, guaranteeing a satisfactory, efficient and easy to learn the application. Finally, the project was continuously improved with an analysis of the traditional early stimulation with the mobile application with augmented reality, complementing an optimisation in its use. Keywords—Autism; design thinking; figma; metaclass studio; tinkercad

Within the district of Ventanilla there are many lead smelting companies, which emit gases containing heavy metals that, when transported to human settlements, could be causing damage to the health of the population, mostly harming young children. At present, the evaluation of soil quality involves the monitoring of various indicators that are analysed independently, leaving aside the systemic approach in which the elements interact and often restrict each other, making the analysis very complex. In this sense, a superior analysis system is proposed based on the Grey Clustering method, which is based on the theory of grey systems, an artificial intelligence approach that allows for an integral evaluation and takes into account the high degree of uncertainty present in the environment. The proposed methodology was used for the study of soil quality in the industrial park of the district of Ventanilla - Mi Perú, specifically in 3 Areas of Potential Interest (API): "Mercado Virgen de Guadalupe", "Patio de La I.E.P. Arturo Padilla Espinoza" and "AA.HH. Las Casuarinas". The results of the evaluation of soil quality using the Grey Clustering method showed that 40% of the total number of monitoring points have very poor soil quality, with the Virgen de Guadalupe Market area having 75% of the monitoring points with very poor soil quality. Finally, the present study can be of great use to the competent authorities related to the surveillance and monitoring of soil quality, as well as the health of the nearby population in order to make decisions on the control of nearby industrial activities.

Currently, pollution and global warming is a very controversial problem, due to the various consequences and effects it generates on health and the environment. There are studies that highlight that the main pollutants are due to human action that generates the extermination of certain ecosystems, as well as the increase in various acute and chronic diseases. The ecosystems most neglected by the authorities and the citizens are the wetlands, which can be seen reflected in the wetlands of Ventanilla, whose surface has been reduced from 1,500 to 275.45 hectares due to overpopulation and contamination by the citizens themselves in recent years. These accessions endanger the extermination of the habitat of 126 birds and 27 species of native plants that inhabit a certain place, which is of great concern because these ecosystems are rapidly degrading. That is why, in the face of this problem, the design of a weather station applying the internet of things is proposed, which aims to inform the caretakers of the current state of the wetlands through a web server, where it will serve to carry out preventive actions. regarding the care of a certain ecosystem that are essential for the stabilization of CO2 emissions. This system is made up of the ESP32 platform, which will activate the emergency lights and a siren when the DHT 22, BMP180, ML8511 and MQ135 sensors detect abnormal values in temperature, humidity, atmospheric pressure, altitude, UV radiation and toxic gases.

The Mantaro River travels through Junín, Ayacucho, and Huancavelica departments,in Peru, and receives not only domestic discharges from the population but also tailings fields and dumps containing lead, silver, copper, and zinc from mining companies. To be able to assess the water quality, the grey clustering method was applied, using Center-point Triangular Whitenization Weight Functions (CTWF) for this purpose. As well, Pearson correlation between parameters was used to understand the dynamics of pollution. In the watershed of the Mantaro river the results of the Monitoring of the Surface Water published in 2018 by the Mantaro Water Administrative Authority were compared to the Peruvian Environmental Quality Standards (ECA) Category 1, subcategory A parameters. The results obtained suggest that the main driver of pollution in the Mantaro river is not mining, but domestic waste in landfills and probably agriculture. Finally, this study shows responsible environmental management by mining companies, besides, could be helpful for regional and local authorities of Peru in making decisions to improve the management of the Mantaro river watershed and make the population aware of the sustainable use of water

Mining is one of the most important activities in Peru, although controversial because it is currently highly criticized for generating environmental liabilities that mostly contain a high content of metals which contaminate the different environmental components such as water. , soil, air, biodiversity and social among others, for the study and analysis of the soil in a specific area we will use the grey clustering methodology, which determines, based on the grey systems and it should be noted that for this analysis it was also used as a reference the parameters defined by the Kelley Directives, a clustering coefficient through various calculations and with these define the level of soil contamination in 5 sectors located in the communities of Michiquillay and La Encañada. With the calculated grey clustering coefficients, it was determined that, of the five sectors, only the Michiquillay sector presents a slight level of contamination, and the other sectors are in uncontaminated soils, at least for the parameters that were selected. Mining activity, the authorities in charge of measuring the environmental impact in the sector, can proceed to investigate and infract if the permitted limits are exceeded and these have not been correctly remedied. The results of this study could be an important contribution for the analysis of soil contamination and the impact on the same of future mining projects that are developed in Michiquillay and La Encañada communities studied, how much the natural conditions of the soils have changed after the operation of the mine. Keywords—Grey Clustering, Grey Systems, Mining Activities, Soil Quality.