Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
Browse
Search Results
- Charging EV station forecasting and location model for Mexico’s private sector(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-06-13) Hernández Salazar, Aldo; Ríos Solís, Yasmín Águeda; emimmayorquin; Jacobo Romero, Yulitza Yazmin; Shcool of Engineering and Sciences; Campus Monterrey; Probst, OliverThe decarbonization of the transport sector is critical for addressing climate change, with electric vehicles (EV) representing a pivotal solution. This thesis focuses on forecasting EV adoption and optimizing charging stations’ location in Mexico’s private sector. The study examines relevant national and international regulations and existing EV adoption models through a comprehensive literature review. Data collection incorporates national statistics, energy consumption records, and market reports on EV sales and adoption rates. Using statistical methods, the research develops multiple scenarios for EV adoption up to 2030. A mixed integer programming model is then constructed to maximize the profitability of charging station placements, considering constraints such as budget, parking availability, and electrical capacity. A detailed case study with anonymized data from Iberdrola’s clients is conducted, simulating the model to determine optimal charging station locations and configurations. The results provide valuable insights into the infrastructure needed to support the transition to EVs in Mexico, offering strategic recommendations for stakeholders. The study concludes with suggestions for future research, emphasizing the importance of real-time data and expanding the analysis to public charging infrastructure. This work aims to contribute significantly to Mexico’s sustainable energy transition and develop an efficient, widespread EV charging network.
- Energy consumption and greenhouse gas emissions modeling for the cement production industry in Mexico(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024) Murrieta Melchor, Mariana; Santoyo Castelazo, Edgar; emimmayorquin; Ledezma Martínez, Minerva; School of Engineering and Sciences; Campus Ciudad de México; García Kerdan, IvánThe world is working on strategies to face climate change, of which mitigating emissions is crucial. In the long term, one of the most significant challenges is to meet the needs of society while incorporating sustainable processes that consider such mitigation. Currently, cement industry contributes to emissions generation within its core processes, accounting for over 8% of global greenhouse gas (GHG) emissions. Mexico is an emerging economy with a great need for infrastructure development, which leads to an increasing cement demand. Population and economic growth tendencies are vital for predicting this industry’s demand. Different emissions mitigation strategies can be assessed with this macroeconomic perspective to determine their adaptation and implementation in the Mexican context. Aiming to collaborate in the global efforts to address climate change, this study proposed a research framework that provided a perspective on implementing mitigation strategies in the Mexican cement production industry by 2050. This framework provided an overview of the national cement industry, followed by a Business-As-Usual scenario construction with macroeconomic indicators, from which five alternative scenarios were derived. Energy and emissions modeling was carried out for each scenario using the Low Emissions Analysis Platform (LEAP). The alternative scenarios were based on national, international, and private sector emissions reduction targets for the cement production process in Mexico. These scenarios were discussed through a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, finding that carbon capture technologies are essential for significantly reducing GHG emissions. However, these technologies are not fully developed nor accessible for the industry to adopt with the required urgency. Additionally, clinker-to-cement ratio reduction represents an essential measure to reduce process-related emissions. Finally, reaching the emissions reduction targets of the scenarios requires concerted efforts between the private and public sectors. The novelty of this work resides in: (a) concentrating cement production industry performance in a single information and data platform; (b) adopting the modeled emissions reduction targets and their contextualization to Mexico; and (c) adjusting an appropriate methodology framework to evaluate a critical industrial sector. Moreover, this framework could be used for future research on emissions mitigation pathways in other national industrial sectors.
- Analysis of immune cells in peripheral blood and colostrum from obese mothers in Mexico(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-05-28) Piñeiro Salvador, Raúl; Brunck, Marion; tolmquevedo; Lara-Díaz, Víctor Javier; Licona-Cassani, Cuauhtémoc; Vásquez-Garza, Eduardo; Escuela de Ingeniería y Ciencias; Campus MonterreyBreastfeeding provides newborns not only nutritional short-term nutrient supply, but also long-term benefits in neural, metabolic, and immune development. Several bioactive components of human milk mediate these long-term benefits over immunity, including living bacteria and leukocytes, or even some modulators like cytokines and antibodies. The immunological properties of milk change over lactation progress and the colostrum (stage of lactation produced within 2 days after birth) is the stage with the highest concentration of these factors. Other factors like maternal health status, genetics or daily variations also influence on milk composition. In this scenario, prolactin promotes leukocyte migration to mammary glands and milk. However, the role of chronic conditions on human milk immune composition like obesity is poorly studied. This is especially important in countries with high rates of maternal obesity, like Mexico, where more than two-thirds of adult women suffer any grade of overweight or obesity. Here, we present an extensive flow-cytometry based characterization of leukocyte subpopulations in peripheral blood and colostrum from lean and obese mothers, as well as an analysis of some of their phenotypes. With this data, we aim to better understanding if obesity affects the process of leukocyte migration to human milk, and promotes possible changes on functionality of human milk leukocytes.
- Lean en salud desde la perspectiva técnica y cultural en México(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-02) Zazueta Padilla, Erika Karolina; PEIMBERT GARCIA, RODRIGO ERNESTO; 226983; Peimbert Garcia, Rodrigo Ernesto; tolmquevedo, emipsanchez; Garay Rondero, Claudia Lizette; Vicencio Ortiz, Julio César; Escuela de Ingeniería y Ciencias; Campus MonterreyAnte las exigencias de los gobiernos en el mundo por ofrecer servicios médicos de calidad y disminuir los costos operativos de los hospitales, estos últimos han optado por el uso de filosofías como Lean, con el fin de enfocar los esfuerzos operativos únicamente en las actividades que agregan valor. Sin embargo, la sustentabilidad de Lean en salud puede verse limitada al no explorarse la cultura propicia para el desarrollo de la filosofía. México, un país que empieza a explorar la filosofía, no hay evidencia en la literatura de la cultural de los hospitales que mejor se han desempeñado en Lean. En este estudió, se realizaron entrevistas semi estructuradas (n = 6) para conocer los niveles culturales de un hospital Lean. Con los retos metodológicos de un país con pocos referentes de Lean en salud y el desarrollo de la investigación durante una pandemia. Como resultado del estudio no se tiene evidencia suficiente para indicar que el hospital de estudio tiene experiencia aplicando Lean. Culturalmente, la evaluación de Hofstede a México concuerda en la mayoría de los aspectos evaluados y la cultura de la organización no está necesariamente adaptada a los principios filosóficos de Lean. Con lo anterior, es posible continuar con estudios que evalúen a más hospitales mexicanos para determinar la cultura en la cual la introducción de Lean, traerá los beneficios operativos y económicos que se han observado en otros países.
- A Scientometric Study of the Impact of Mexican Institutions in the Period 2007-2016(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-05) Méndez López, Diana Carolina; Ceballos Cancino, Héctor Gibrán; 223871; Ceballos Cancino, Héctor Gibrán; emipsanchez; Garza Villarreal, Sara Elena; Juárez Ibarra, Erika Alejandra; Hernández Gress, Neil; Galeano Sánchez, Nathalíe María; Escuela de Ingeniería y Ciencias; Campus Monterrey; Cantú Ortiz, Francisco JavierIn management contexts of science, the study of the impact that different research outputs have often involves a combination of bibliometric and scientometric indicators, as well as peer review and expert opinion. Scientometric indicators are effective for a quantitative analysis as they provide a quick insight of the current and past situation at any organizational level. However, there is no indicator that fits every decision as there are many factors that can have an effect on the impact of an entity (e.g., different publication and citation patterns among disciplines or types of publications), and not all indicators are normalized to account for them. The present study, focuses on the analysis of a set of indicators and their relation with a proposed field-normalized indicator, known as the Field-Weighted Citation Impact for Mexican Institutions (FWCIMX), using a panel data model. The proposed indicator is based on the formula for the FWCI developed by Scopus; the main differences involve ignoring the document type and using data that only contemplates the citations done to Mexican documents, so it only compares Mexican institutions against other Mexican institutions. Two models are proposed: the first model analyzes the relation between the citations per region and the FWCIMX, while the second one analyzes the collaborations per region. Both models include other indicators, and have presented different results when tested in three-year time windows. This research has been performed with the intention of helping researchers and research institutions understand the relation, either positive or negative, that certain indicators have on the behavior of the FWCIMX, which has been designed to compare the impact that the most relevant Mexican institutions have, regardless of the disciplines in which each one of them is more prominent. To achieve these results, it is worth mentioning that the data used was collected from Scopus and comprises a ten-year period that goes from 2007 to 2016. Two batches of experiments were run. The first batch revealed that publishing in journals and trade journals had positive effects on the FWCIMX, so did receiving citations from Oceania, and collaborating with South America and Oceania. In contrast, indicators with negative effects on the FWCIMX include publishing in Open Access periodicals, receiving citations from Europe, and collaborating with Europe. The second batch of experiments revealed that Mexico is the main source of citations for the publications published by the institutions analyzed in this study. The results also suggested that international collaborations and publishing in journals have negative effects. This batch also revealed that publishing in periodicals that are open access have negative effects on the proposed metric. Not so surprisingly, publishing in periodicals in quartiles Q1 and Q2 have positive effects. During the computation of the metrics and the FWCIMX itself, other interesting discoveries where obtained, such as the identification of the averaged expected citations per area and year with respect to the production in Mexico, and the ranking of Mexican institutions with regard to their averaged FWCIMXs.
- Financial Habits of Mexican Women using Machine Learning Algorithms(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-04) Lozano Medina, Jessica Ivonne; Hernández Gress, Neil; RR/tolmquevedo; Ceballos Cancino, Héctor Gibrán; Flores Segovia, Miguel Alejandro; School of Engineering and Sciences; Campus Monterrey; Hervert Escobar, LauraThis research was conducted under the Master in Computational Science program at Tecnológico de Monterrey. The proposal is a model to assess a profile risk for Mexican women, who require the service of a financial portfolio offered by a financial institution. Typically, women are scored with a lower financial risk than men. However, the understanding of variables and indicators that lead to such results, are not fully understood. Furthermore, the stochastic nature of the data makes it difficult to generate a suitable profile to offer an adequate financial portfolio to the women segment. Therefore, there is a great interest for developing methods that correctly model the behavior, and aid the decision-making process in financial services. Several models in the State-of-art for this type of analysis is done with linear programming and statistical techniques. Therefore, this study will use a benchmark of Machine Learning algorithms, such as Unsupervised and Supervised Learning algorithms, to extract information on four different datasets relevant to the population of interest. The first phase involves applying state-of-the-art techniques on public datasets of the Mexican population, whereas the second phase involves a future research involving a financial institution to create the model for the Women segment. It was found that financial habits of the population are heavily dependent on the region. There also an important group in the population characterized for not possessing an account in a financial institution and also not having emergency funds. In the case of the profiles of women, the most important attributes were their civil status and their participation in the workforce. The largest group of women are housewives, though the second largest group consists of married women who also participate in the workforce.