Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551014
Pertenecen a esta colección Tesis y Trabajos de grado de los Doctorados correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- A minutiae-based indexing algorithm for latent palmprints(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-11) Khodadoust, Javad; Monroy Borja, Raúl; emipsanchez; Aparecida Paulino, Alessandra; Valdes Ramírez, Danilo; Rodríguez Ruiz, Jorge; School of Engineering and Sciences; Campus Monterrey; Medina Pérez, Miguel ÁngelToday, many countries rely on biometric traits for individual authentication, necessitating at least one high-quality sample from each person. However, countries with large populations like China and India, as well as those with high visitor and tourist volumes like France, face challenges such as data storage and database identification. Latent palmprints, comprising about one-third of prints recovered from crime scenes in forensic applications, require inclu sion in law enforcement and forensic databases. Unlike fingerprints, palmprints are larger, and features such as minutiae are approximately ten times more abundant, accompanied by more prominent and wider creases. Consequently, accurately and efficiently identifying la tent palmprints within stored reference palmprints poses significant challenges. Using fre quency domain approaches and deep convolutional neural networks (DCNNs), we present a new palmprint segmentation method in this work that can be used for both latent and full impression prints. The method creates a binary mask. Additionally, we introduce a palmprint quality estimation technique for latent and full impression prints. This method involves parti tioning each palmprint into non-overlapping blocks and considering larger windows centered on each block to derive frequency domain values, effectively accounting for creases and en hancing overall quality mapping. Furthermore, we present a region-growing-based palmprint enhancement approach, starting from high-quality blocks identified through our quality es timation method. Similar to the quality estimation process, this method operates on blocks and windows, transforming high-quality windows into the frequency domain for processing before reverting to the spatial domain, resulting in improved neighboring block outcomes. Finally, we propose two distinct minutiae-based indexing methods and enhance an existing matching-based indexing approach. Our experiments leverage three palmprint datasets, with only one containing latent palmprints, showcasing superior accuracy compared to existing methods
- Processing Applications of Multiple Quantum Teleportation and Structured Light Beams(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-03) Cardoso Isidoro, Carlos; Delgado Cepeda, Francisco Javier; emimmayorquin; Enríquez Flores, Marco Benjamín; Gutiérrez Vega, Julio César; Fernández Cabrera, David José; Vázquez Lepe, Elisa Virginia; Campus Monterrey; Pérez García, Benjamín de JesúsThis dissertation project was designed to work in parallel with the theoretical development of parallel quantum teleportation applications and with the experimental study of structured light beams and their potential application to communications. The study of quantum teleportation has become popular over the years since it was first described by Charles Bennett and his colleagues in the early 1990s. Since then, many processes have emerged for the improvement of the fidelity and exciting applications have arisen, such as those aimed to enhance communication systems. This dissertation explores the development of a scheme for parallel quantum teleportation, starting with the analysis of a double teleportation, where an unknown quantum state is intended to be teleported to two simultaneous receivers, and extending such analysis so that the state is quantumly transmitted in superposition to several receivers supported by other quantum states used as a control. This studied scheme is used for the development of some applications such as for cryptography purposes in the settlement of secure authentication, in Quantum Key Distribution, Quantum Parameter Estimation and database settlement. In these applications, it is highlighted the use of the parallel quantum teleportation for carrying out the process or for some specific stages along the process. Jointly with the theoretical work, the experimental development for structure light applications was made in terms of the study of properties of some vortex beams, such as the Laguerre-Gaussian, Hermite-Gaussian and Bessel beams and their behaviour when the source light is partially coherent, which brings critical advantages against noise and turbulence in the environment but, however, it has the downside to be hard to identify the intensity profile. For this reason, a scheme for characterizing these Partially Coherent Beams as well as the possible effects of turbulence was studied in this work. Finally, a study of the application of entangled photons for learning the phase of unknown unitary operations was also experimentally tested. This document, also presents a proposal for an experimental implementation of parallel double teleportation for communication, involving Structured Light Beams.
- A stable real-time implementation model predictive control for fast nonlinear systems(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-03) Rodríguez Guevara, Daniel Orlando; Favela Contreras, Antonio Ramón Xicoténcatl; emipsanchez; Lozoya Gámez, Rafael Camilo; Sotelo Molina, Carlos Gustavo; Sotelo Molina, David Alejandro; School of Engineering and Sciences; Campus Monterrey; Beltrán Carbajal, FranciscoThis dissertation presents two novel approaches for real-time implementation of robust Model Predictive Control (MPC) for fast complex nonlinear systems. These approaches use a linearization step of the model of the system by two different strategies depending on the nature of the nonlinear system. Linear Parameter Varying (LPV) modeling and Differential Flatness representation are the strategies chosen to develop the Model Predictive Controller. LPV modeling consists of the embedding of the nonlinear terms of the system into a series of scheduling parameters. Therefore, the Model Predictive Control is designed using a linear model being a function of the scheduling parameter to predict the behavior of the states of the system along the prediction horizon. The future values of the scheduling parameters are estimated using a recursive least squares algorithm. Both stability and robustness conditions are ensured using Linear Matrix Inequalities (LMI) constraints included in the optimization problem of the MPC. Finally, terminal ellipsoidal sets are introduced in the cost function to improve the performance of the controller. On the other hand, Differential Flatness representation is used to build a linear MPC to exploit the flatness property of some nonlinear systems. In this approach, the nonlinear model is solved as a function of the flat outputs of the system and its derivatives. Thus, a linear optimization problem is solved to predict the future behavior of the flat output and its derivatives as a function of an auxiliary control variable. Afterward, a feedforward controller is designed to define the optimal control action to be inputted into the system as a function of the auxiliary control variable. Finally, the performance of both control strategies is tested with several simulations of complex nonlinear systems using the Matlab-Simulink environment
- Design of an acoustic virtual environment of the mexican archaeological site Edzna(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-03) Navas Reascos, Gustavo Sebastián; Ibarra Zárate, David Isaac; emipsanchez; Recuero López, Manuel; Zalaquett Rock, Francisca Amelia; Lopez Caudana, Edgar Omar; School of Engineering and Sciences; Campus Monterrey; Alonso Valerdi, Luz MaríaArchaeoacoustics is an acoustic field that has great potential in Mexico since the existence of archaeological places inherited from the native people who inhabited these territories in the past. The objective of this project was the design and implementation of a virtual acoustic environment of the archaeological place Edzna. To achieve this goal, the research was conducted as follows: (1) to select a strategically archaeological Mexican place in terms of minimal archaeological deterioration, minimal environmental noise, flexible access, and with both open and enclosed places; (2) to characterize acoustically the selected place; (3) to recreate the recorded sounds; (4) to design and implement an acoustic virtual environment based on the acoustic characterization of the selected place; and (5) to evaluate the User Experience of the acoustic virtual environment from participants in an exposition at MARCO museum in Monterrey. This investigation aimed to contribute to the dissemination and exposure of vivid archaeological sites along in the country, which could help to foster the awareness of Mexican history and heritage
- Development of chitosan films using lemon Juice and impact of bimetallic and trimetallic nanoparticles on their physical properties(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-02) Hassan, Dilawar; Torres Huerta, Ana Laura; emipsanchez; Ehsan, Muhammad; Sánchez Rodríguez, Elvia Patricia; Talha Khalil, Ali; School of Engineering and Sciences; Campus Ciudad de México; Antonio Pérez AuroraThe global challenge of plastic pollution has driven the search for biodegradable and sustainable materials. This thesis explores the development of chitosan (CH) films, synthesized using a green chemical approach that employs lemon juice and lemon peel extract as natural alternatives to synthetic acids. The incorporation of nanoparticles, explicitly zinc ferrite (ZnFe₂O₄ NPs) and nickel zinc ferrite (NiZnFe₂O₄NPs), further manipulate the functional properties of the films, making them suitable for diverse applications. The ZnFe₂O₄ NPs, synthesized using lemon peel extract, presented a crystalline size of 16 nm and significantly improved the mechanical (TS) and barrier properties of 1.5% CH films. The TS of the films increased from 0.641 MPa for bare CH to 0.835 MPa with 2% ZnFe₂O₄ NPs, while puncture strength improved by 2.7 times. The water vapor permeability (WVP) decreased by 28%, establishing enhanced barrier properties. Conversely, NiZnFe₂O₄ NPs (crystalline size 29 nm), enhanced 2% CH film flexibility, achieving a 36.83% elongation at break with 2% NP reinforcement. These films also exhibited enhanced resistance to moisture, making them suitable for applications that require better barrier properties. Morphological testing, including SEM and AFM, revealed that NPs incorporation altered the surface texture of the films, increasing roughness uniformly with NP concentration. FTIR spectra confirmed successful NPs’ integration, with characteristic metal-oxygen bond vibrations appearing at specific wavenumbers. Optical properties showed minimal color changes after NPs addition, with both ZnFe₂O₄ and NiZnFe₂O₄ films maintaining suitable transparency for practical applications. This thesis highlights the potential of green-synthesized CH films as eco-friendly substitutes for conventional plastics. ZnFe₂O₄ films demonstrated superior mechanical strength and barrier properties, while NiZnFe₂O₄ films provided improved flexibility and moisture resistance. The integration of green chemistry with nanotechnology establishes a sustainable pathway for the development of highperformance polymeric materials, addressing pressing environmental and industrial needs.
- Designing sustainable agri-food supply chain networks(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-02) Gholiyanjouybari, Fatemeh; Hajiaghaeikeshteli, Mostafa; emipsanchez; Mejia Argueta, Christopher; Bonakdari, Hossein; School of Engineering and Sciences; Campus Monterrey; Smith Cornejo, Neale Ricardo; Rodríguez Calvo, Ericka ZulemaAgri-food products are critical to sustaining human life, as they provide essential nutrients for maintaining bodily functions. Agri-food production must match potential demand to ensure efficient supply to industries and markets. In terms of national and international concerns, this is one of the most important, even a top priority. In recent years, the agri-food industry has prioritized the development of efficient supply chain systems based on current trends and principles, such as sustainability and circular economy. The principles of sustainability can be employed to effectively utilize or reintroduce agri-food waste back into the network. This PhD dissertation deals with designing new agri-food supply chain networks for the first time in the literature. It not only considers the most important products to study, but also focuses on the recent trends and challenging issues like circular economy, water consumption, CO2 emission, and sustainability. We considered Saffron, Coconut, Soybean, and Pistachio, respectively, in four chapters of this thesis. In this work, we formulate some novel mixed-integer linear programming models to design agri-food supply chain networks in different agriculture industries, considering the above new challenges. The multi-objective networks struggle to manage the total net profit while monitoring CO2 emissions and the satisfaction of customers within the network. Given the NP-hard nature of the networks, the solution approach embraces a set of conventional, new, modified, and hybrid metaheuristics to surmount its complexity effectively. The effectiveness of the proposed mathematical models is certified by case studies and general problems evolved from real-world practices. In Saffron's work, we consider marketing practices and develop a stochastic multiobjective programming model to improve sustainability in three main areas. A convex robust optimization approach addresses farm production capacity uncertainty and saffron demand uncertainty. The LP-metric method is used to validate the mathematical model for the saffron business. We adopt a modified Keshtel algorithm to deal with the problem of NP-hardness. Two strategies are used to evaluate the performance of the proposed solution methods: a statistical comparison and a supportive tool that is based on multicriteria decision-making (MCDM). According to the MCDM method, MOKASEO outperformed other algorithms in small, medium, and large-sized problems compared to the other algorithms tested. The secodn supply chain network that we consider to design its colsed-loop network is for the coconut industry. We propose a new mixed-integer linear programming model to design an agri-food supply chain network under sustainable terms. With the goal of resolving a multi-objective closed-loop supply chain, both forward and reverse movements of products are taken into account. During the planning process, the model monitors environmental pollution within the network as well as job opportunities. Given the NP-hardness of the model, we use six multi-objective optimizers and three hybrid algorithms, among which the multi-objective artificial rabbit optimizer is first developed and applied in this study. Therefore, fifteen practical tests are conducted to determine whether the model is compatible with real conditions. The Friedman statistical test and interval plots demonstrate that optimizers are capable of solving problems of all sizes. In both statistical tests and the hybrid Multi-Criteria Decision Making (MCDM) framework, Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) outperformed solving practical tests. In the third work, we study circular economy in a closed-loop supply chain. To do this, we consider one of the most famous and valuable agricultural products, soybean. We formulate a novel mixed-integer linear programming model to design a closed-loop agri-food supply chain network under sustainability and circular economy terms. The multi-objective network strives to reduce CO2 emissions while monitoring customer satisfaction and overall net profit. Since the network is NP-hard, a combination of conventional and hybrid metaheuristics is used to overcome its complexity. Four multi-objective optimization algorithms and three hybrid algorithms are utilized to investigate the model's suitability for real-world conditions. A combination of interval plots and hybrid multi-criteria decision-making techniques demonstrates that optimizers can handle any size problem. For large and mediumsized problems, however, MOHHSA is more effective than MOGWO. Finally, in the fourth paper, we develop a new mixed linear mathematical model for the pistachio supply chain network to minimize the total fixed and variable costs of the closed-loop supply chain. This model is addressed with efficient and well-known meta-heuristic algorithms. A hybrid meta-heuristic algorithm is also developed to enhance the intensification and diversification phases. Finally, we compare and evaluate the quality of both meta-heuristic algorithms and hybrid algorithms.
- Applications of classical andquantum-optomechanical Light Propagation(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12) Onah, Francis Emenike; Gutiérrez Vega, Julio César; emipsanchez; Hernández Aranda, Raúl I; Pérez García, Benjamín; López Aguayo, Servando; School of Engineering and Sciences; Campus MonterreyThe theory of electromagnetic waveguides has found applications in many areas of science and technology, ranging from nanotechnology, nano-optics, optics and photonics, sensing, optical communications, plasma physics to astrophysics. One of the challenges facing the application of other waveguides such as the elliptic and parabolic waveguides in the nano-regime is the amount of parameters to be considered in their fabrications and the ability to control these parameters in miniature systems. The equilateral triangular waveguides, just as the circular cylindrical waveguides, has at most just one parameter to consider in their design or fabrication. That is, the triangle side a. The indices m and n (and a third index l, for equilateral triangular waveguide, is dependent on the other two l = −m−n), is a general feature of all cylindrical waveguides. Thus, the equilateral triangular waveguide, has a promising utility for applications in nanotechnology. Since just focusing on this one parameter, one can as precision allows (within the limits of classical light propagation, in essence, before the quantum theory becomes important), produce very tiny equilateral triangular waveguide. Thus the feasibility and promising utility motivates our investigation of the equilateral triangular waveguides, which despite its simplicity, does not have a thorough study of for instance, its attenuation characteristics. This characteristics and other symmetry properties of the modes, especially the surprisingly interesting odd modes of the equilateral triangular waveguide is what we investigate in this project. In the second part of our research, we study Quantum Photonic nano-cavties, which is a typical case of what happens when quantum mechanics becomes important, in propagation of light, in the nano-regime. This also, promises great and novel solutions to the numerous challenges facing the production of versatile and effective nano-machine fabrications. Thus the significance of our research work lies in illustrating and exploring the possibility for a far more reaching industrial applications of quantum photonic-nano cavities, through the quantum optomechanical theoretic formulation and application of multiply synchronized nano-photonic cavities in sensing, information or data storage and distribution in nano-devices, very effective/versatile nano-machines, high level machine learning, artificial intelligence and the future of modern nano-material fabrications and nanotechnology in general. We intend or expect to have a clear cut technological advancement, demonstrated by a fabricated device that harnesses the high quality factorof quantum photonic nano-cavities, in terms of increased capacity or storage power of the nano-device and or a very sensitive light sensor and other technological advancement that has applications in information commutation technology, medicine and the industry in general.
- Enfoques integrales para el diagnóstico y seguimiento de enfermedades metabólicas asociadas a obesidad(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-11-28) Castillo Castro, Carolina; Martagón Rosado, Alexandro J.; emipsanchez; Sánchez Avila, María Teresa; Castorena Torres, Fabiola; Arriaga Cázares Héctor Eliud; Escuela de Medicina y Ciencias de la Salud; Sede EGAP Monterrey; Morales Garza, Luis AlonosLa obesidad es una enfermedad crónica caracterizada por un exceso de adiposidad que impacta negativamente a la salud, aumentando el riesgo de desarrollar complicaciones metabólicas, como la diabetes mellitus tipo 2 (DM2) y la enfermedad por hígado graso no alcohólico (EHGNA). En México, donde la prevalencia de obesidad es una de las más altas del mundo, estas enfermedadesnrepresentan un desafío significativo para la salud pública. La interrelación entre obesidad y complicaciones metabólicas genera una necesidad urgente de identificar métodos diagnósticos y de seguimiento que sean accesibles y puedan implementarse a gran escala en la población mexicana. La EHGNA es una manifestación hepática de la obesidad. Es caracterizada por la acumulación de grasa en más del 5% de los hepatocitos sin consumo significativo de alcohol, afecta a un porcentaje considerable de la población, especialmente en personas con DM2, donde la prevalencia llega hasta el 90%. En México, se estima que hasta el 50% de la población podría verse afectada debido a las altas tasas de obesidad. Su relevancia radica en que puede progresar a esteatohepatitis, fibrosis y cirrosis, aumentando el riesgo de mortalidad. Actualmente, el diagnóstico definitivo se realiza mediante biopsia hepática, un procedimiento invasivo y costoso, lo que impulsa la búsqueda de alternativas no invasivas, más seguras y accesibles para la detección y seguimiento de esta condición. Por su parte, la DM2 afecta a más de 15.6% de los adultos en México, y se proyecta un crecimiento global alarmante en las próximas décadas, con proyecciones de hasta 783 millones de adultos afectados a nivel mundial para el 2045. Esta enfermedad, altamente vinculada con la obesidad y la adiposidad visceral, genera complicaciones micro y macrovasculares, así como deterioro significativo de la calidad de vida. Dada su alta prevalencia en nuestro país, donde hasta el 70% de la población adulta vive con sobrepeso u obesidad, resulta crucial desarrollar herramientas de diagnóstico y seguimiento que permitan un manejo efectivo y oportuno. En esta tesis, abordamos las enfermedades metabólicas asociadas a obesidad desde diferentes ángulos: exploramos biomarcadores no invasivos en el diagnóstico de EHGNA, evaluamos métodos accesibles para medir la composición corporal en pacientes con DM2, y analizamos el impacto de los hábitos de sueño en el riesgo de desarrollar diabetes. El objetivo común es identificar alternativas diagnósticas y de seguimiento que sean aplicables a gran escala en la población mexicana, mejorando así la prevención y el tratamiento de estas enfermedades. Para ello, realizamos tres estudios complementarios. El primero es una revisión que examina la posibilidad de utilizar biomarcadores no invasivos como reemplazo de la biopsia hepática en el diagnóstico y seguimiento de la EHGNA en pacientes con obesidad o DM2. El segundo es un estudio de cohorte que compara la precisión de la bioimpedancia eléctrica (BIA) con la absorciometría de rayos X de energía dual (DXA) en la estimación de la masa grasa en pacientes hispanos con DM2. El tercer estudio investiga la asociación entre la duración del sueño y el riesgo de desarrollar DM2 en adultos mexicanos, utilizando datos de la ENSANUT. A través de estos trabajos, buscamos aportar herramientas útiles, accesibles y de bajo costo que puedan ser implementadas en la práctica clínica diaria para mejorar la prevención, diagnóstico y seguimiento de estas condiciones metabólicas altamente prevalentes en la población mexicana
- Effect of physical activity on the myodynamic characteristics of patellofemoral pain in young adults(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-11-25) Garza Borjón, Abiel Eugenio; González González, Mirna Alejandra; emipsanchez; Rito Palomares, Marco Antonio; Rodríguez de Ita, Julieta; Simental Mendía, Mario Alberto; Escuela de Medicina y Ciencias de la Salud; Campus Monterrey; Acosta Olivo, Carlos AlbertoBackground: Patellofemoral pain (PFP) is a worldwide frequent cause of medical evaluation. It iscommon in the young, female and active population affecting one in four individuals. It is considered a multifactorial disease in which the management must focus on the alterations found in the physical exam and radiologic images. The effect of muscle strength in the lower extremities after aerobic activity in patients with this condition has yet to be detailed. To determine if patients with PFP show alterations in lower extremity, muscle strength measurements after performing a session of ten minutes of aerobic activity on a treadmill compared to people without patellofemoral pain were performed. Materials and Methods: Prospective experimental study with a stratified, non-randomized, and non-blinded population sample with group matching, including an experimental group with PFP and a control group with no pain. Subjects completed self-reported functional questionnaires (IKDC, Kujala, KOOS, SF-12), underwent radiographic studies, and were evaluated by measuring the strength of hip and knee muscles and the Single-Leg Triple-Hop (SLTH) test before and after ten minutes of exercise on a treadmill. Results: Seventeen subjects diagnosed with PFP, and seventeen control subjects were evaluated. Both groups were homogeneous and had no significant differences in the demographic variables. A wider sulcus angle at 30° (136.8 ± 3.8° vs 132.5 ± 5.6°, p = 0.0140), a decrease strength post-exercise in the hip abductor (37.9 ± 7.1 N⋅m vs 45.6 ± 7.7 N⋅m, p <0.05) and knee extensor (36.0 ± 9.1 N⋅m vs 47.7 ± 14.0 N⋅m, p <0.05), and a shorter distance in the SLTH test (337.9 ± 74.9 cm vs 438.6 ± 65.8 cm, p <0.01) was recorded in subjects with patellofemoral pain. Conclusion: Subjects with PFP had an overall lower strength of hip and knee muscles, showing significant differences in the hip abductors and knee extensors between people with PFP and healthy matched controls after aerobic exercise.
- Development of a competitive technology intelligence methodology to identify technology dynamics: the case of M-health for diabetes(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-11-13) Castillo Valdez, Pedro Fernando; Rodríguez Salvador, Marisela; emipsanchez; Martínez Ledesma, Emmanuel; Díaz de la Garza, Rocío Isabel; Hernánez Brenes, Carmen; Tejeda Alejandre, Raquel; School of Engineering and Sciences; Rectoría Tec de MonterreyThe unprecedented development of technological advances brings new challenges and opportunities to create competitive advantages. It is necessary the effective use of technology as a facilitator to bring better products and services in all sectors such as industry, business, education, healthcare, and government. An adequate assessment of science and technology is fundamental to impact present and future Research and Development (R&D) and innovation decisions. Diverse disciplines based on metrics analysis have emerged to facilitate science and technology understanding, such as scientometrics, patentometrics, and altmetrics. They offer fundamental theoretical and methodological contributions to quantify scientific research literature, patents, scholarly activities on social networks and websites, aiming to reveal the process of scientific and technology development. However, the current accelerated technological advances require researchers to implement a superior approach to detect continuous changes in the external environment identifying opportunities and vulnerabilities to strengthen the decision-making process regarding R&D and innovation. Organizations can increase their advantages by systematically analyzing the external environment, identify movements of competitors and detect opportunities for growth. In this context, Competitive Technology Intelligence (CTI) offers a strategic approach where information is transformed into opportunities for an actionable result. This research proposes a CTI methodology of eight steps that incorporates experts feedback, a scientometrics and a word distribution analysis into a process to provide a broader scope to science and technology. This thesis provides a more robust analytical approach than traditional scientometric analysis where indicators as relevant authors, institutions, countries, citations, and impactful articles are identified. In this context, this thesis goes further since current hotspots and landscape of main research topics are also determined as well as technological trends, gaps, and opportunity areas to research, evolving the traditional scientometric approach. To demonstrate the methodology proposed, a case study was carried out around diabetes m-Health which is particularly relevant given the worldwide increase in diabetes prevalence. Identifying its technological dynamics can facilitate the adoption of effective technologies that enhance patients' quality of life. As a result of all this process, three scientific publications were developed and published in Q1, and Q2 journals. In the first publication (2021) the proposed CTI methodology is VII presented, while in the second publication (2024) the methodology is applied through a scientometric analysis where current hotspots on diabetes m-Health are determined. Finally, the third publication (2024) provides a landscape of main research topics in diabetes m-Health, and technological trends and opportunity areas to research are identified. These studies aim to contribute researchers, decision makers, and policy makers to prioritize R&D efforts, consolidate areas of interest and explore new research topics.
