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Nivel del desempeño sísmico de la Escuela de Educación Superior "Víctor Andrés Belaunde"empleando el análisis estático no lineal (Pushover), 2024
(Universidad Nacional de Jaén, 2025-12-23) Tenorio Díaz,Heistin Rubiany; Venegas Nicolas,May Jordano; Cayatopa Calderón,Billy Alexis; Piedra Tineo,José Luis
La presente investigación tuvo con fin determinar el desempeño sísmico de la Escuela de Educación Superior “Víctor Andrés Belaunde” empleando el análisis estático
no lineal (Pushover). La investigación fue no experimental, de diseño cuantitativa con alcance aplicativa – evaluativa, teniendo un enfoque deductivo. Entre los resultados, se determinó que en la dirección X su máxima deriva estuvo en el primer nivel con un valor de 0.0074 y en la dirección Y su máxima deriva estuvo en el segundo nivel con un valor de 0.02102, el cual es superior al 0.007; la máxima capacidad de la estructura a resistir en la dirección X es de 85.98 tonf y en la dirección en Y es 37.02 tonf; el punto de desempeño de la estructura en la dirección X tiene un desplazamiento de 0.03911 m y un cortante máximo de 85.98 tonf; asi mismo en la dirección Y se tiene un desplazamiento de 0.007384 m y un cortante máximo de 58.58 tonf. Se concluye que la estructura no resistiría ante un sismo severo, debido a que el punto de desempeño se encuentra fuera del rango operacional.
Potencial medicinal de especies vegetales cultivadas en Cajamarca: “Ciencia y conciencia en el estudio de especies terapéuticas”
(Universidad Nacional de Jaén, 2025-12-22) Santa Cruz López,Cinthya Yanina; Rivera Salazar,Christian Alexander
Las plantas medicinales son una fuente valiosa de compuestos terapéuticos, especialmente en regiones biodiversas como Cajamarca. Es ahí donde el conocimiento ancestral sobre sus usos curativos se ha mantenido vivo, formando parte clave de la medicina tradicional, particularmente en zonas rurales con acceso limitado a servicios de salud. Entre las plantas más usadas destacan el matico, la muña, el eucalipto y la uña de gato, conocidas por sus propiedades antiinflamatorias, digestivas y antimicrobianas. Sin embargo, se requiere mayor evidencia científica que avale y refuerce su potencial uso con fines medicinales. Las condiciones ecológicas de la región favorecen la presencia de especies ricas en metabolitos activos, además, algunas investigaciones recientes sugieren que estas plantas tienen efectos contra bacterias, hongos y parásitos.
Sistema Experto para Orientar a los Usuarios del Corredor Turístico de las Provincias de Jaén, San Ignacio y Utcubamba en Cajamarca, Perú
(International Journal of Professional Business Review, 2022-08-29) Arce Fernández,Nilthon
Purpose: Develop a rule-based expert system to guide the users of the tourist corridor of the provinces of Jaén, San Ignacio and Utcubamba (Peru). Theoretical framework: Hussein and Aqel (2015), developed a rule-based expert system in Jordan to choose the best tour package based on time, budget, and preferences. In Peru, Ramos and Valdivia (2017), proposed an expert system to promote tourism in the Lambayeque region. Methodology: To develop the system, the methodology of Nicolás Kemper was used. Tourism experts from the provinces participated in the development of the knowledge base. The evaluation was carried out with an expert different from those who prepared the aforementioned base. Findings: In the evaluation, the expert system and the human expert agreed on the recommendation of tourist attractions by 80%. Concluding that this system helps tourists in making decisions about which places to visit in the tourist corridor. Contributions: The system helps improve the dissemination of local tourist information. To develop the knowledge base, tourism resources were systematized. New variables can be incorporated into the knowledge base in order to obtain more personalized tourist recommendations. Originality/value: This research is innovative because there is no expert system to guide tourists who want to travel to these places; it has social relevance as it helps to boost the local economy.
Fuzzy Optimization Model for Decision-Making in Single Machine Construction Project Planning
(Mathematics, 2024-04-04) Arce Fernández,Nilthon
Scheduling for a construction project with a limited number of machines is a critical and well-studied problem. Most studies assume that task processing times are exact; in practice, delays frequently occur, rendering the initial work plan invalid. Therefore, adaptability is crucial to the success of a project. This work introduces a fuzzy optimization model for the planning of construction projects executed simultaneously and having only one backhoe. The model assumes imprecise task processing times, represented by triangular fuzzy sets, that accept delays up to a permitted degree of tolerance. The model solution obtains a fuzzy work plan. This is a robust plan that supports incidents (delays). A method to apply the model was created. The fuzzy model can help construction companies reduce delays in the delivery of their projects and avoid excessive penalties. The model was implemented in the CPLEX solver, which can quickly obtain an optimal solution for small and medium instances. For large instances, the model must be solved with metaheuristics. This scientific contribution is important for future work since it consists of the application of fuzzy optimization in a specific area of civil engineering.
Assembly Algorithms for Seismic Vulnerability Estimation in Confined Masonry Dwellings
(IIETA, 2024-06-24) Arce Fernández,Nilthon
In Peru, confined masonry houses are self-built, which makes it crucial to determine their seismic vulnerability. The objective of the research was to estimate the seismic vulnerability of confined masonry dwellings in the Pueblo Libre-Jaén sector using assembly algorithms. A database was constructed with data obtained from the National Institute of Civil Defense (INDECI), scientific articles, and theses. Subsequently, the data set was divided into a training set (80%) and a validation set (20%), employing the stacking method with five combinations CB_1, CB_2, CB_3, CB_4, and CB_5. The basic algorithms Gradient-Boosting, Random-Forest, Extra-Tree, and Decision-Tree were utilized as the base algorithms, with the final estimator being the Random Forest Meta-Learner. The models were trained and validated in Python, achieving accuracies of 94.95, 95.48, 95.39, and 95.66 for the base models and 95.62, 95.23, 95.76, 95.90, and 94.80% for the ensemble models. The most accurate models were the simple Gradient Boosting (95.66%) and the assembled models CB_3 (95.76%) and CB_4 (95.90%). The CB_4 model, which is composed of the Decision Tree and Gradient Boosting algorithms, was applied to the Pueblo Libre sector and yielded a reliability estimate of greater than 95% for the seismic vulnerability of confined masonry. This estimate was classified as high (1.48%), moderate (32.85%), and low (65.67%). It is anticipated that the model implemented will enable engineers and authorities to implement mitigation measures to reinforce housing in the event of a seismic event.