Memorias Científicas y Tecnológicas

Mejora de las propiedades piezoeléctricas del titanato de bismuto sodio potasio con titanato de estroncio (BNKT-ST) mediante el monitoreo de viscosidad uniaxial

Antonino Vega Siverio, Héctor Camacho Montes, Boris Jesús Mederos Madrazo — Mon, 27 Nov 2023 00:00:00 -0700

Modelo estructural de factores de la efectividad del Mantenimiento Productivo Total “TPM”

Wed, 29 Nov 2023 00:00:00 -0700

Abstract

In the context of an increasingly globalized world, competition intensifies, emphasizing the pressing need for tools that boost productivity and competitiveness. Among these tools, Total Productive Maintenance (TPM) stands out as a fundamental pillar to achieve optimal levels of efficiency by ensuring proper maintenance of both physical and human resources. The research focuses on developing a structural model that identifies key factors influencing the effectiveness of TPM, concentrating on critical elements for successful implementation. The adopted methodological approach is non-experimental, quantitative, and cross-sectional. Data are collected from a single sample during a specific period, from September to November 2023, within the manufacturing sector of the city of Chihuahua, Chihuahua. While the research is limited in its focus on the manufacturing industry of this city, it is presented as a valuable reference to enrich theory and guide the implementation of new maintenance practices.

The proposed model, evaluated using Partial Least Squares (PLS), demonstrates a good fit to the data, highlighting the significance of relationships between latent and manifest variables. This analysis contributes to a deep understanding of factors positively impacting the effectiveness of TPM, providing a valuable framework to enhance maintenance practices and, consequently, competitiveness in the industrial environment.

Estudio opto-eléctrico de un dispositivo fotovoltaico orgánico

Thu, 30 Nov 2023 00:00:00 -0700

In the present work, membranes based on a phenanthroline derivative (GBB) were developed and we reported the lowest functional concentration. The processes used were solution mixing and the solution casting technique in GBB/PVA-PEG/Nps structure of Cu, CdS or PANI. The characterization so far allowed for chemical, optical, microstructural, thermogravimetric, and electrical analysis. The optical effect observed in the membranes was 0.86% absorbance (A.U), adjusting the absorption by adding doping with CuNps and PANI which showed a hyperchromic adjustment of 88.37% associated with a totally organic doping. In addition, the band gap calculated by the Tauc method using the OriginPro 8.5 software is presented. Among these dopings, the CuNps give the band gap of 1.99 eV. However, without doping and increasing the concentration to 3.9x10-5 moles of GBB, the band gap is reduced to 1.49 eV. Excellent data when the proposed application is for photovoltaic effect.

Desarrollo de un biosensor de glucosa en saliva a base de ZnS.Cu/biocerámico

Thu, 30 Nov 2023 00:00:00 -0700

The control of diabetes mellitus has increased the mortality rate in patients through diagnostic methods such as glucose detection by biosensors capable of analyzing the analyte in an alternative liquid to the blood, such as salivary glucose, allowing a painless and quick diagnosis. The materials used to maintain optimal properties for use in the development of glucose biosensors, using bioglass 45S5 as an encapsulation medium and ZnS. Cu for its properties acts as a fixative of analytes with a high electron transfer rate. Different optical and electrical characterization techniques (scanning electron microscopy, UV-vis spectroscopy, 4-tip method and impedance analyzer) are performed on thin films of 1 and 2 layers of ZnS.Cu coated with bioglass 45S5, to obtain an electrical circuit that allows us to observe the changes of resistance in the film with different concentrations, conditioning the sensor and obtaining the signal.

Metodología de selección de modelos de analítica de datos para la detección de APT con enfoque en la confiabilidad y optimización

Adrián Hernández Rivas, Julia Patricia Sánchez Solís — Thu, 30 Nov 2023 00:00:00 -0700

Modelos de analítica de datos para la recomendación de estrategias que apoyen la trayectoria académica de estudiantes en riesgo de deserción en la UACJ

César Alonso Rivas Flores, Rogelio Florencia Juárez, Gilberto Rivera Zárate — Thu, 30 Nov 2023 00:00:00 -0700

Detección de cáncer de endometrio a partir de imágenes de biopsias de Pipelle de Cornier basado en aprendizaje profundo

Haydeé Itzel Lira Casas, Nelly Gordillo Castillo — Fri, 01 Dec 2023 00:00:00 -0700

Análisis de integridad del desarrollo de un acelerómetro óptico de silicio con encapsulado cerámico

Daniel Rivera Rojo, José Mireles García, Abimael Jiménez Pérez — Fri, 01 Dec 2023 00:00:00 -0700

Sensor óptico de glucosa basado en moléculas orgánicas PQ/PA