La Dirección Ejecutiva de Epidemiología de la DIRESA Junín requiere de la implementación de modelos de predicción que contribuyan con la toma de decisiones clínicas, es así que habiéndose identificado que entre los años 2010 y julio del 2019 el 91.75% de las muertes perinatales estuvieron asociadas a “ciertas afecciones originadas en el periodo perinatal”, el objetivo de esta investigación fue en primer lugar desarrollar modelos de predicción de mortalidad perinatal y luego determinar la diferencia entre el rendimiento de los modelos de aprendizaje automático basados en técnicas supervisadas, ello con la finalidad de poder tomar decisiones preventivas para evitar estos eventos no deseados. El tipo de investigación fue de enfoque cuantitativo y el diseño correspondió al no experimental retrospectivo porque se trabajó con datos históricos de casos de muerte perinatal ...

La presente tesis surge de la necesidad de contar con un sistema de administración del conocimiento que contenga un modelo eficiente de predicción del comportamiento de enfermedades y eventos de salud de mayor prevalencia en la Dirección Regional de Salud de Junín; para lo cual se formuló la pregunta de investigación ¿Cuál es el sistema de administración del conocimiento que permite obtener con mayor precisión la predicción de la prevalencia de enfermedades en la Dirección Regional de Salud de Junín?. El objetivo propuesto es determinar el sistema de administración del conocimiento que permite obtener con mayor precisión la predicción de la prevalencia de enfermedades en la Dirección Regional de Salud de Junín, para lo cual se planteó la hipótesis: El sistema de administración del conocimiento basado en la técnica de redes neuronales artificiales permite obtener con...

In this research, an innovative mechanical- electronic device has been developed for the efficient purification of carrots seeds, a critical process in agricultural production due to its impact on the quality and yield of future crops. The device uses mechanical and electronic principles to effectively separate impurities and unwanted seeds from carrots. Through detection and classification technologies together with mechanical elements of transport and separation, the quality of the resulting seeds is sought to improve, ensuring their purity. This development represents a significant advance in the automation of agricultural production, enabling farmers to benefit from higher quality seeds and higher productivity. This project shows how the integration of mechanical and electronic technologies can address the challenges in food production. In addition, the carrot seed cleaning machine o...

Abstract — Automated composting has proven to be a vital solution for the transformation of organic waste into high - quality compost, soil enrichment, and improved agricultural production. This innovation responds to the need to manage urban waste efficiently and mitigate emissions of polluting gases. The implementation of the VDI 2222 Methodology ensures a structured design in key stages, from preparation to compost collection, maximizing its efficiency and quality. The use of black box simulation modeling, backed by probability distributions and precise technology, is an advanced approach to improving the process. The combination of PID controllers and IoT technologies in the control system enables real - time monitoring and adjustment of temperature and humidity, optimizing the process and reducing the environmental footprint. In addition to improving soil quality and food producti...

Business sustainability has become a global imperative in response to the environmental, social, and economic challenges facing our world. In this context, the measurement and evaluation of business sustainability have become crucial to guide the actions of organizations towards more responsible and sustainable practices. However, the lack of specific measurement instruments for specific regional contexts may limit the ability of companies to evaluate and improve their sustainability performance. In this paper, we present the design of a business sustainability measurement method adapted to the context of Tarma, Peru. Tarma, a region located in the heart of the Peruvian Andes, is characterized by its cultural, environmental, and economic diversity, making it a unique context to address business sustainability. This article proposes a method for measuring business sustainability based on ...

The Mantaro Valley in Peru is an inter-Andean River valley, through which the Mantaro River passes. Approximately a population of one million inhabitants live here. Currently, the damage caused by the use of non-renewable energy sources is very evident, both to the environment and to the local economy, which will become unsustainable in the future. That is why we want to critically study the implementation of renewable energy projects that support the generation of electricity and other types of energy in this area. However, this has some positive and negative elements. In this paper, we apply a PEST-SWOT analysis to evaluate the balance of each of these aspects. Furthermore, we use an evaluation in the form of single-valued neutrosophic numbers, which allow us to capture the uncertainty and indeterminacy in this decision-making problem.

The main purpose of this evaluation is to analyze the economic viability of the implementation of circular models in agriculture in Tarma, Peru. This involves examining the costs and benefits associated with the adoption of circular practices, as well as identifying possible barriers and opportunities for their implementation at the local level. By better understanding the economic landscape, it will be possible to inform decision-making both at the government level and at the level of individual farmers. For the analysis, we have a committee of 30 experts who will evaluate the relationship between variables that positively or negatively affect the implementation of these models in the town. The tool selected for the analysis is Neutrosophic Cognitive Maps, which includes an indeterminacy component within the calculations. This allows greater accuracy in the results since indeterminacy i...