Browsing by Author "Cieza Altamirano, Gilder"

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Conocimiento sobre el consumo de ácido fólico en gestantes atendidas en el Centro de Salud Paccha, Chota – 2024.
(Universidad Nacional Autónoma de Chota, 2024-03-21) Herrera Tapia, Ana; Rivera Fernandez, Clever Enrique; Tenorio Carranza, Jorge Romain; Cieza Altamirano, Gilder
La investigación tuvo como objetivo describir el nivel de conocimiento sobre el consumo de ácido fólico en gestantes atendidas en el Centro de Salud Paccha, Chota 2024. Estudio descriptivo, observacional y trasversal. La muestra fueron 36 gestantes. La técnica una encuesta y el instrumento un cuestionario sobre el conocimiento del consumo de ácido fólico. Resultados: Las características sociodemográficas más frecuentes fueron que, 88,9% eran casadas o convivientes, 77,8% amas de casa, 44,4% tenían educación primaria y 41,7% entre 18 y 29 años. El mayor conocimiento se presentó en el 100% de gestantes que respondieron correctamente a preguntas como ¿Qué es ácido fólico? y ¿Dónde se brinda información correcta sobre suplementación?; mientras que se registró 83,3% en la pregunta ¿Al consumir ácido fólico, qué enfermedades o complicaciones se puede prevenir en el bebé?; y 80,6% en ¿Qué tipo de alimentos, además del suplemento que recibe en el Puesto de Salud se puede encontrar el ácido fólico? Por otro lado, se observó un desconocimiento del 66,7% en cuanto a ¿En qué momento se recomienda finalizar el consumo de ácido fólico?, un 63,9% en ¿Por qué es importante el consumo de ácido fólico?, y 52,8% en ¿Cuál es el momento ideal para iniciar el consumo de ácido fólico? En la dimensión consumo de ácido fólico 50% presentaron conocimiento medio, 27,8% medio y 22,2% alto; en la dimensión complicaciones al no consumir ácido fólico, 38,9% conocimiento bajo, 33,3% medio y 27,8% alto; mientras que en el conocimiento global 50% conocimiento medio, 36,1% bajo y 13,9% alto. Conclusión: El conocimiento sobre ácido fólico es mayormente de nivel medio.
IoT technology enabled stochastic computing paradigm for numerical simulation of heterogeneous mosquito model
(springer Link, 2022-11-19) Sohaib Latif; Zulqurnain Sabir; Muhammad Asif Zahoor Raja; Cieza Altamirano, Gilder; Sandoval Núñez, Rafaél Artidoro; Oseda Gago, Dulio; R. Sadat; Mohamed R. Ali
In this communication, a fractional order design and numerical form of the solutions are presented for numerical simulations of heterogeneous mosquito model. The use of the fractional order derivatives is exploited to observe more accurate and exhaustive performances of the numerical simulation of the model. The novel design of the fractional order heterogeneous mosquito differential system is analyzed with stochastic solver based on the internet of things (IoT) technologies, represented with four categories i.e., normal individuals, people with reflex behavior, panic behavior and controlled behavior based differential system. The solutions of the novel design of the fractional order system are presented by using the stochastic paradigm of artificial neural network (ANN) procedures along with the Scaled Conjugate Gradient (SCG), i.e., ANN-SCG, for learning of weights. In ANN-SCG implementation, the data statistics are picked as 78% for training, 11% for both authorization and testing samples to approximate the solutions. The accuracy of the ANN-SCG technique is seen by correlation of the determined outcomes and the information base on Adams-Bashforth-Moulton method based standard solutions. To achieve the capacity, legitimacy, consistent quality, fitness, and accuracy of the ANN-SCG strategy, the reproductions-based error histograms (EHs), MSE, regression, and state transitions (STs) are used for extensive experimentations.
Solution to a Damped Duffing Equation Using He’s Frequency Approach
(Hindawi, 2022-07-11) Salas, Alvaro H. S.; Cieza Altamirano, Gilder; Sánchez-Chero, Manuel
In this paper, we generalize He’s frequency approach for solving the damped Duffing equation by introducing a time varying amplitude. We also solve this equation by means of the homotopy method and the Lindstedt–Poincaré method. High accurate formulas for approximating the Jacobi elliptic function cn are formally derived using Chebyshev and Pade approximation techniques.
Swarming Computational Techniques for the Influenza Disease System
(Tech Science Press, 2022-07-28) Cieza Altamirano, Gilder; Sakda Noinang; Zulqurnain Sabir; Muhammad Asif Zahoor Raja; Manuel Jesús Sànchez-Chero; Seminario-Morales, María-Verónica; Wajaree Weera; Thongchai Botmart
The current study relates to designing a swarming computational paradigm to solve the influenza disease system (IDS). The nonlinear system’s mathematical form depends upon four classes: susceptible ndividuals, infected people, recovered individuals and cross-immune people. The solutions of the IDS are provided by using the artificial neural networks (ANNs) together with the swarming computational paradigm-based particle swarm optimization (PSO) and interior-point scheme (IPA) that are the global and local search approaches. The ANNs-PSO-IPA has never been applied to solve the IDS. Instead a merit function in the sense of mean square error is constructed using the differential form of each class of the IDS and then optimized by the PSOIPA. The correctness and accuracy of the scheme are observed to perform the comparative analysis of the obtained IDS results with the Adams solutions (reference solutions). An absolute error in suitable measures shows the precision of the proposed ANNs procedures and the optimization efficiency of the PSOIPA. Furthermore, the reliability and competence of the proposed computing method are enhanced through the statistical performances.