Incidencia de los aspectos socioeconómicos y la percepción de riesgo de contagio de Covid-19 sobre el comportamiento individual

EMMANUEL CHÁVEZ HERNÁNDEZ (2023, [Tesis de maestría])

Este estudio trata de recoger una perspectiva del impacto de la crisis sanitaria sobre la

precariedad socioeconómica a través de la visión del otro, para comprender el pensamiento y

comportamiento respectivo de desacato a las medidas sanitarias. Por ello, utilizamos

conceptualizaciones y técnicas interdisciplinarias que permitieron la apertura a la expresión y

análisis del discurso, desde la perspectiva de los agentes en el entorno local.

Nuestro objetivo fue identificar los factores socioeconómicos que incidieron en el

comportamiento de los comerciantes informales, y contribuyeron a la construcción de la

percepción de riesgo, ante la probabilidad de contraer Covid19, en el centro de Cuernavaca,

Morelos, durante los años 2020-2022. Se describieron los procesos de incidencia y se abordaron

aspectos y momentos específicos contextuales y locales de la crisis sanitaria.

De acuerdo a estos planteamientos utilizamos dos metodologías inductivas, una cualitativa

“Investigación Acción Participativa”, y una cuantitativa “Metodología de la economía

positiva”. De esta manera, el producto obtenido fue un modelo de árbol de toma de decisiones

de comportamientos entre los individuos (basado en los factores socioeconómicos), el cual

relacionamos con el nivel de percepción de riesgo resultante, y mostró el comportamiento de

los actores durante la crisis sanitaria.

CIENCIAS SOCIALES SOCIOLOGÍA Socioeconomía, percepción de riesgo, comercio informal, Covid19, árbol de decisiones

Implementation of a Nickel-Electroless Coating in Heat Exchanger Pipes Considering the Problem of the Environmental Conditions ofthe Cooling Water Without Recirculation to Increase the Effectiveness Under Uncertainty

VICTOR MANUEL ZEZATTI FLORES GUSTAVO URQUIZA BELTRAN MIGUEL ANGEL BASURTO PENSADO LAURA LILIA CASTRO GOMEZ JUAN CARLOS GARCIA CASTREJON (2022, [Artículo])

This research is based on the operation tube heat exchangers, their use and problematic on hydroelectric power plants. It is based on the design heat exchanger tubes for industrial use, which took the parameters of operation, design, working fluids (air and water) and conditions to assemble a monitoring equipment at appropriate scale for the laboratory, with the necessary measurement instruments to analyze the behavior of heat energy transfer by means of thermocouples, the velocity of the air with a hot wire anemometer and the flow of water with a turbine flow meter, in pipes of different materials: copper, steel 1018 and stainless steel 316L, all in ideal conditions, and with this to found a comparative parameter with pipes of the same materials but under conditions of deterioration with the presence of forced oxidation and with the data mining and support vector machine can be minimized the corrosion problems in pipes.

INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS Data mining, Support Vector Machine, Pattern Recognition and Decision Support System, Heat exchangers

OPTIMIZING THE TRANSFER OF ENERGY IN A HEAT EXCHANGER MINIMIZING THE CORROSION PROBLEMS IN PIPES IN A HYDROELECTRIC POWER STATION USING DATA MINING AND SUPPORT VECTOR MACHINE

VICTOR MANUEL ZEZATTI FLORES GUSTAVO URQUIZA BELTRAN MIGUEL ANGEL BASURTO PENSADO LAURA LILIA CASTRO GOMEZ (2019, [Artículo])

This research is based on the operation tube heat exchangers, their use and problematic on hydroelectric power plants. It is based on the design heat exchanger tubes for industrial use, which took the parameters of operation, design, working fluids (air and water) and conditions to assemble a monitoring equipment at appropriate scale for the laboratory, with the necessary measurement instruments to analyze the behavior of heat energy transfer by means of thermocouples, the velocity of the air with a hot wire anemometer and the flow of water with a turbine flow meter, in pipes of different materials: copper, steel 1018 and stainless steel 316L, all in ideal conditions, and with this to found a comparative parameter with pipes of the same materials but under conditions of deterioration with the presence of forced oxidation and with the data mining and support vector machine can be minimized the corrosion problems in pipes.

INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS Data Mining, Support Vector Machine, Pattern Recognition and Decision Support System, heat exchangers.