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Herramientas e inteligencias artificiales para la investigación científica
No full texthttps://dilemascontemporaneoseducacionpoliticayvalores.com/index.php/dilemas/article/view/428
La falta de agencia como determinante de la pobreza en México
No full textRescatando una dimensión muy importante del enfoque de capacidades, la libertad de agencia, en el presente trabajo se demuestra esta última variable es una de las determinantes de la pobreza en México. Para ello se ha considerado como proxy de la libertad de agencia a la responsabilidad en sus tres dimensiones (responsabilidad posterior, responsabilidad anterior y responsabilidad autrui) y se han revisado los datos de la encuesta de hogares de 2014. Los resultados muestran una significativa carencia en responsabilidad autrui en el contexto social donde se desenvuelven las personas en todas las entidades de la República Mexicana. Ello permite concluir que la libertad de agencia impide el mejoramiento de indicadores sociales, tales como la pobreza
Smart Parking: Enhancing Urban Mobility with Fog Computing and Machine Learning-Based Parking Occupancy Prediction
No full textParking occupancy is difficult in most modern cities because of increases in the accessibility and use of motor vehicles, and users generally take several minutes or even hours to find a place to park. In this work, we propose a smart parking prediction model in order to help users locate in advance the availability of parking near the places they plan to visit. For this it is proposed a fog computing architecture that integrates a machine learning algorithm based on AdaBoost to predict parking places hours or days in advance. Additionally, a user interface was developed, which involves the collection of user inputs through a mobile application where the user is prompted to enter the destination location and the prediction time interval. Through extensive experimentation using real-world parking flow data, our proposed algorithm demonstrated an improved level of accuracy compared with alternative prediction methods. Moreover, a simulation was conducted to evaluate the system’s latency when using cloud computing versus our hybrid approach combining both fog and cloud computing. The results showed that employing the fog module in conjunction with cloud computing significantly reduced response delay in comparison with using cloud computing alone
A New Generalization of the Uniform Distribution: Properties and Applications to Lifetime Data
No full textIn this paper, we generalize two new statistical distributions, to improve the ability to model failure rates with non-monotonic, monotonic, and mainly bathtub curve behaviors. We call these distributions Generalized Powered Uniform Distribution and MOE-Powered Uniform. The proposed distributions’ approach is based on incorporating a parameter k in the power of the values of the random variables, which is associated with the Probability Density Function and includes an operator called the Powered Mean. Various statistical and mathematical features focused on reliability analysis are presented and discussed, to make the models attractive to reliability engineering or medicine specialists. We employed the Maximum Likelihood Estimator method to estimate the model parameters and we analyzed its performance through a Monte Carlo simulation study. To demonstrate the flexibility of the proposed approach, a comparative analysis was carried out on four case studies with the proposed MOE-Powered Uniform distribution, which can model failure times as a bathtub curve. The results showed that this new model is more flexible and useful for performing reliability analysis
Algoritmo Evolutivo para reducir la congestión vehicular
No full textUno de los grandes problemas en cualquier ciudad es el tráfico vehicular y su solución no es fácil,
aunque sí es necesaria. Lo primero que se debe realizar es un análisis del tráfico para comenzar a
plantear soluciones donde se presentan las congestiones. Existen herramientas disponibles para
llevar a cabo el análisis, como la función de tráfico de Google Maps, que permite revisar la saturación
vehicular en determinados horarios. Por tanto, en el presente artículo, se muestra una propuesta
para desarrollar un algoritmo evolutivo que pronostique la saturación de tráfico vehicular. Para ello,
primero se explica la conceptualización del algoritmo, después se presenta su aplicación, desde la
captura de los datos hasta los pronósticos. Posteriormente, se ofrecen explicaciones de las pruebas
realizadas para evaluar el desempeño del algoritmo en comparación con el estado actual del tráfico,
para finalmente realizar una recomendación de uso. Después de las pruebas, los resultados
obtenidos muestran la cantidad de iteraciones realizadas para obtener el resultado, así como el
estado del tráfico
The Benefit of Community and Family Support During the Perinatal Period for Latina Immigrants
No full textLatina women are at increased risk for depression and anxiety, with rates twice those of Latino men in the United States. Specifically, among immigrants, rates of depression and anxiety increase with the number of years lived in the United States. The perinatal period (during pregnancy and up to 12 months postpartum) is a time of heightened risk for depression and anxiety for Latina immigrants, with studies demonstrating prevalence rates of between 52-54%
Augmented Reality: Fundamentals and Applications
No full texthttps://www.routledge.com/Augmented-Reality-Fundamentals-and-Applications/VergaraVillegas-CruzSanchez/p/book/978100343519
A Pilot Study of the Effectiveness of Cognitive Resilience Training on Anxiety, Depression, and Suicidal Ideation Among Students of a Selected University in Mexico
No full textMental distress burdens student populations; meanwhile, intervention-based studies are insufficient. This pilot study examined
the effectiveness of cognitive resilience training (CRT) in enhancing students’ mental health. This experimental design study
recruited 29 participants (mean age = 21.70; SD = 2.55) from the Autonomous University of Ciudad Juarez (UACJ) in northern
Mexico. A questionnaire pack containing the General Anxiety Disorder-2, Patient Health Questionnaire-2, Plutchik Suicide Risk
Scale, and Brief Resilience Scale was utilized. At the pretest, there was no significant difference between the experimental
group (EG) and the control group (CG). At the posttest, the CG scored higher on anxiety, depression, and suicidal ideation
compared to its EG counterparts. However, the EG’s participants exhibited higher resilience, leading to a reduction in mental
distress compared to their control group counterparts. The study concluded that CRT is an effective intervention for enhancing
students’ mental health. Therefore, it is recommended for use in university clinical settings
ORIENTACIÓN ALIMENTARIA, FÍSICA Y PSICOLÓGICA: ACOMPAÑAMIENTO INTEGRAL PARA LA PACIENTE CON SINDROME DE OVARIO POLIQUÍSTICO
No full texthttps://www.ugto.mx/campusleon/dcs/images/redicinaysa/publicaciones/2024/REDICINAySA-Mayo-Junio-2024-Vol-17-No3.pd
¿QUÉ ESPERAR CUANDO SE BRINDA LACTANCIA MATERNA POR PRIMERA VEZ?
No full texthttps://www.ugto.mx/campusleon/dcs/images/redicinaysa/publicaciones/2024/REDICINAYSA-2024-Vol-17-No-5-Sep-Oct-2024.pd