Rocío García-Cortés
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Rocío García-Cortés has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- Magdalena Marciano-Melchor
Laboratorio de Mecatrnica y Energa Renovable, CIDETEC, Instituto Politcnico Nacional, Ciudad de Mxico, Mexico
7 shared publications - Diego Alfredo Padilla-Pérez
Centro de Desarrollo Aeroespacial, Instituto Politécnico Nacional, Mexico City 06010, Mexico
5 shared publications - Emmanuel Cabanas-García
Centro de Estudios Científicos y Tecnológicos No. 18, Instituto Politécnico Nacional, Blvd. del Bote 202 Cerro del Gato Ejido La Escondida, Col. Ciudad Administrativa, Zacatecas 98160, Mexico
5 shared publications - Yenny Adriana Gómez-Aguirre
SECIHTI-Universidad Autónoma de Aguascalientes—Av. Universidad 940, Ciudad Universitaria, Aguascalientes 20131, Aguascalientes, Mexico
3 shared publications - Elvia Pérez-Soto
Laboratorio de Biomedicina y Salud Ocupacional, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México 07320, Mexico
2 shared publications - Gilberto Silva-Ortigoza
Facultad de Ciencias Fsico Matemticas, Benemrita Universidad Autnoma de Puebla, Puebla, Mexico
2 shared publications
Latest Publications
- 1 November 2025
- Published by IATED Academy in ICERI Proceedings
- Vol. 1, 9104-9109
PRIVACY MANAGEMENT OF PERSONAL DATA WITHIN EDUCATIONAL TECHNOLOGY ENVIRONMENTS
- 1 November 2025
- Published by IATED Academy in ICERI Proceedings
- Vol. 1, 9104-9109
PRIVACY MANAGEMENT OF PERSONAL DATA WITHIN EDUCATIONAL TECHNOLOGY ENVIRONMENTS
- 1 November 2025
- Published by IATED Academy in ICERI Proceedings
- Vol. 1, 9119-9123
ARTIFICIAL INTELLIGENCE IN TEACHING: OPPORTUNITIES AND CHALLENGES IN CONTEMPORARY EDUCATION
- 1 November 2025
- Published by IATED Academy in ICERI Proceedings
- Vol. 1, 9119-9123
ARTIFICIAL INTELLIGENCE IN TEACHING: OPPORTUNITIES AND CHALLENGES IN CONTEMPORARY EDUCATION
- Open Access
- 3 July 2025
- Published by Brazilian Journals in South Florida Journal of Development
- Vol. 6 (7) , e5601
Reporte de caso: El suplemento alimenticio 2.0 (astaxantina, fucoxantina y polifenoles de manzana) disminuye el estrés, fatiga laboral y alteraciones metabólicas
Se presenta un caso clínico de un paciente con deficiente estado de salud física que afecta negativamente la capacidad del trabajador para realizar sus funciones laborales. El paciente, masculino de 30 años, es referido por percepción de estrés, mala calidad de sueño, dolor corporal e hígado graso. Se le diagnosticó mediante examen clínico, química sanguínea; ultrasonido de hígado; pruebas de estrés laboral (EL) y fatiga laboral (FL); y se cuantificó cortisol en cabello. Se ministró por vía oral el suplemento 2.0 Algas Marinas, BioMaussan® (Astaxantina, AXT, fucoxantina, FXT y polifenoles de manzana, PM), durante 3 meses. Los resultados muestran efectos benéficos, disminuyendo EL, FL, cortisol capilar, peso (-4.7%), y parámetros bioquímicos (-1.58% a -25.45%), incluyendo bilirrubinas directas. Así también disminuyeron los síntomas de cansancio físico, agotamiento, somnolencia e irritabilidad, por lo que mejoró su calidad de vida. Se sugiere al paciente, dar tratamiento médico farmacológico y continuar con el suplemento 2.0 Algas Marinas hasta normalizar otros parámetros metabólicos y el ácido úrico. Estos hallazgos conducen a proponer un estudio clínico controlado, aleatorizado, doble ciego para evaluar el mecanismo de acción molecular del suplemento 2.0 Algas Marinas, BioMaussan® en trabajadores con EL, FL y obesidad, particularmente sobre vía de acción de inhibición de cortisol, moléculas proinflamatorias y de daño oxidativo, además de estudiar referente al metabolismo de glucosa y de lípidos.
- 3 July 2025
- Published by Brazilian Journals in South Florida Journal of Development
- Vol. 6 (7) , e5601
Open AccessReporte de caso: El suplemento alimenticio 2.0 (astaxantina, fucoxantina y polifenoles de manzana) disminuye el estrés, fatiga laboral y alteraciones metabólicas
Se presenta un caso clínico de un paciente con deficiente estado de salud física que afecta negativamente la capacidad del trabajador para realizar sus funciones laborales. El paciente, masculino de 30 años, es referido por percepción de estrés, mala calidad de sueño, dolor corporal e hígado graso. Se le diagnosticó mediante examen clínico, química sanguínea; ultrasonido de hígado; pruebas de estrés laboral (EL) y fatiga laboral (FL); y se cuantificó cortisol en cabello. Se ministró por vía oral el suplemento 2.0 Algas Marinas, BioMaussan® (Astaxantina, AXT, fucoxantina, FXT y polifenoles de manzana, PM), durante 3 meses. Los resultados muestran efectos benéficos, disminuyendo EL, FL, cortisol capilar, peso (-4.7%), y parámetros bioquímicos (-1.58% a -25.45%), incluyendo bilirrubinas directas. Así también disminuyeron los síntomas de cansancio físico, agotamiento, somnolencia e irritabilidad, por lo que mejoró su calidad de vida. Se sugiere al paciente, dar tratamiento médico farmacológico y continuar con el suplemento 2.0 Algas Marinas hasta normalizar otros parámetros metabólicos y el ácido úrico. Estos hallazgos conducen a proponer un estudio clínico controlado, aleatorizado, doble ciego para evaluar el mecanismo de acción molecular del suplemento 2.0 Algas Marinas, BioMaussan® en trabajadores con EL, FL y obesidad, particularmente sobre vía de acción de inhibición de cortisol, moléculas proinflamatorias y de daño oxidativo, además de estudiar referente al metabolismo de glucosa y de lípidos.
- 1 June 2025
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 7853-7857
EARLY IMMERSION IN SCIENCE: HIGH SCHOOL STUDENTS IN PLANT BIOTECHNOLOGY PROJECTS
- 1 June 2025
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 7853-7857
EARLY IMMERSION IN SCIENCE: HIGH SCHOOL STUDENTS IN PLANT BIOTECHNOLOGY PROJECTS
- 1 June 2025
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 10041-10045
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE STUDY HABITS OF UNIVERSITY STUDENTS IN MEXICO
- 1 June 2025
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 10041-10045
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE STUDY HABITS OF UNIVERSITY STUDENTS IN MEXICO
- 1 June 2025
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 7825-7830
PROJECT-BASED LEARNING WITH IOT TECHNOLOGY: SMART GREENHOUSE WITH RASPBERRY PI
- 1 June 2025
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 7825-7830
PROJECT-BASED LEARNING WITH IOT TECHNOLOGY: SMART GREENHOUSE WITH RASPBERRY PI
- 1 November 2024
- Published by IATED Academy in ICERI Proceedings
- Vol. 1, 10187-10191
CLOSING GENDER DIVIDES IN DIGITAL SKILLS FOR WEB 3.0 DEVELOPMENT IN MEXICO
- 1 November 2024
- Published by IATED Academy in ICERI Proceedings
- Vol. 1, 10187-10191
CLOSING GENDER DIVIDES IN DIGITAL SKILLS FOR WEB 3.0 DEVELOPMENT IN MEXICO
- Open Access
- 21 June 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (13) , 9858
Sensorless Tracking Control Based on Sliding Mode for the “Full-Bridge Buck Inverter–DC Motor” System Fed by PV Panel
This paper presents a sliding mode control (SMC) for the “full-bridge Buck inverter–DC motor” system when a photovoltaic (PV) panel is considered as the power supply. The control executes the trajectory tracking task related to the angular velocity of the DC motor shaft without the need for electromechanical sensors. The proposed control is validated through realistic simulation results via Matlab-Simulink. In this regard, the system is constructed by using the electronic components of the specialized power systems library of Simscape. The results of the following four case studies are presented: (i) The performance of the closed-loop system considering two desired angular velocity profiles and three different incident solar irradiance shapes on the PV panel. (ii) An analysis associated with the primary energy source. (iii) A comparison of the proposed SMC versus a passive control. (iv) A study of the current ripple and its relationship with the execution of the tracking control task on the angular velocity.
- 21 June 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (13) , 9858
Open AccessSensorless Tracking Control Based on Sliding Mode for the “Full-Bridge Buck Inverter–DC Motor” System Fed by PV Panel
This paper presents a sliding mode control (SMC) for the “full-bridge Buck inverter–DC motor” system when a photovoltaic (PV) panel is considered as the power supply. The control executes the trajectory tracking task related to the angular velocity of the DC motor shaft without the need for electromechanical sensors. The proposed control is validated through realistic simulation results via Matlab-Simulink. In this regard, the system is constructed by using the electronic components of the specialized power systems library of Simscape. The results of the following four case studies are presented: (i) The performance of the closed-loop system considering two desired angular velocity profiles and three different incident solar irradiance shapes on the PV panel. (ii) An analysis associated with the primary energy source. (iii) A comparison of the proposed SMC versus a passive control. (iv) A study of the current ripple and its relationship with the execution of the tracking control task on the angular velocity.
- Open Access
- 4 November 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (21) , 4110
Robust Flatness-Based Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System
By developing a robust control strategy based on the differential flatness concept, this paper presents a solution for the bidirectional trajectory tracking task in the “full-bridge Buck inverter–DC motor” system. The robustness of the proposed control is achieved by taking advantage of the differential flatness property related to the mathematical model of the system. The performance of the control, designed via the flatness concept, is verified in two ways. The first is by implementing experimentally the flatness control and proposing different shapes for the desired angular velocity profiles. For this aim, a built prototype of the “full-bridge Buck inverter–DC motor” system, along with Matlab–Simulink and a DS1104 board from dSPACE are used. The second is via simulation results, i.e., by programming the system in closed-loop with the proposed control algorithm through Matlab–Simulink. The experimental and the simulation results are similar, thus demonstrating the effectiveness of the designed robust control even when abrupt electrical variations are considered in the system.
- 4 November 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (21) , 4110
Open AccessRobust Flatness-Based Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System
By developing a robust control strategy based on the differential flatness concept, this paper presents a solution for the bidirectional trajectory tracking task in the “full-bridge Buck inverter–DC motor” system. The robustness of the proposed control is achieved by taking advantage of the differential flatness property related to the mathematical model of the system. The performance of the control, designed via the flatness concept, is verified in two ways. The first is by implementing experimentally the flatness control and proposing different shapes for the desired angular velocity profiles. For this aim, a built prototype of the “full-bridge Buck inverter–DC motor” system, along with Matlab–Simulink and a DS1104 board from dSPACE are used. The second is via simulation results, i.e., by programming the system in closed-loop with the proposed control algorithm through Matlab–Simulink. The experimental and the simulation results are similar, thus demonstrating the effectiveness of the designed robust control even when abrupt electrical variations are considered in the system.