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Online academic satisfaction during the COVID-19 pandemic in medical students: role of sleep, psychological issues, college adjustment, and digital skills por Medina Ramirez, Sebastian Andre, Rojas Humpire, Ricardo Josue, Canaza, Josue F., Hernandez, Fiorella, Huancahuire Vega, Salomon

Materias: “…Covid-19…”
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Translation and validation of the high-school satisfaction scale (H-SatP Scale) in Peruvian students por Gonzales-Valdivia, Johana, Morales Garcia, Wilter Charming, Saintila, Jacksaint, Huancahuire Vega, Salomon, Morales García, Wilter Eyvi Mardel, RuizMamani, Percy G.

“…The scale presented adequate internal consistency for each of the five factors (ordinal α, CR, ω, and H > 70). Confirmatory analysis confirmed the five-dimensional structure (χ 2 = 620.864, df = 160; CFI = 0.982, TLI = 0.978, RMSEA = 0.065, SRMR = 0.032). …”
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Evidence of Validity and Factorial Invariance of a Diet and Healthy Lifestyle Scale (DEVS) in University Students por Calizaya Milla, Yaquelin Eveling, Saintila, Jacksaint, Morales Garcia, Wilter Charming, Ruiz Mamani, Percy German, Huancahuire Vega, Salomon

“…Results: The results showed the unidimensionality of the DEVS in Spanish and that it provides good reliability indices: Total sample (Ordinal Alpha [ordinal α] = 0.80, Omega [ω] = 0.83, Coefficient H [H] = 0.84), men (ordinal α = 0.79, ω = 0.83, H = 0.81), women (ordinal α = 0.84, ω = 0.85, H = 0.86). …”
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Depression Associated with Caregiver Quality of Life in Post-COVID-19 Patients in Two Regions of Peru por Chavez Sosa, Jannett Virginia, Mego Gonzales, Flor M., Aliaga Ramirez, Zoila E., Cajachagua Castro de Bejarano, Mayela, Huancahuire Vega, Salomon

Materias: “…Covid-19…”
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Design and Validation of a Research Motivation Scale for Peruvian University Students (MoINV-U) por Carranza Esteban, Renzo Felipe, Mamani Benito, Oscar Javier, Huancahuire Vega, Salomon, Lingan, Susana K.

“…The items received a favorable evaluation (Aiken’s V > 0.70). The goodness-of-fit indices were adequate (CFI = 0.959, TLI = 0.950 and RMSEA = 0.080), likewise, the correlation between factor 1 and 2 was significant ( p < 0.05), evidence of validity was obtained based on the relationship with other variables with measures of academic self-efficacy and academic procrastination and the reliability was acceptable (α = 0.87; 95% CI = 0.86–0.88). …”
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Predictores de la somnolencia, satisfacción con los estudios y el cansancio emocional en estudiantes con altas capacidades intelectuales durante la pandemia COVID-19 por Tello Castro, Wendy Jazmine, Morales Garcia, Wilter Charming, Turpo Chaparro, Josue Edison, Huancahuire Vega, Salomon, Ruiz Mamani, Percy German

Materias: “…calidad de sueño…”
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Análisis psicométrico de la escala de actitudes hacia las relaciones sexuales tempranas en adolescentes tardíos y adultos jóvenes peruanos por Gálvez Carrizales, Dyaneth Lorena, Mamani Ilaquita, Nélida, Sánchez-Villena, Andy, Huayta Meza, Mariné Estefa, Mamani Benito, Oscar Javier

“…RESUMENIntroducción: la falta de instrumentos para evaluar actitudes hacia las relaciones sexuales tempranas en adolescentes tardíos y…”
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Citizen participation in public management processes, Puno Case, Peru por Mamani-Flores, Adderly, Joao Incacutipa-Limachi, Duverly, Calderón-Torres, Alfredo, Fernanda Paredes-Calatayud, Edith, Apaza-Ticona, Jorge, Incaluque Sortija, Rulli William, Huaracha-Velasquez, Jaime

“…The results demonstrated that the role of the community leader as an expression of the emotions of all citizens and the importance of community organization as a means of citizen participation are crucial to advance towards the construction of a strong and popular democracy. …”
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Impacto del COVID-19 en la rentabilidad y liquidez de una Cooperativa Minera Rinconada y Lunar de Oro Limitada, Puno, Perú por Trujillo-Mamani, Yenny Cintia, Huamantoma-Simon, Cesia Adelia, Muñoz-Soncco, Sonia, Incaluque Sortija, Rulli William, Cusilayme-Barrante, Helfer Rude

“…Respecto a la liquidez de la empresa minera, según valores de Liquidez Corriente en el 2019 fue de 15,46 y en el 2020 fue de 0,78. …”
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A predictive approach to teaching quality transition and improvement in higher education por Mamani Morales, Rosa Linda, Quispe Mamani, Zulma, Gonzales Medina, Ronny Ivan, Susanibar Ramirez, Edgar Tito, Tocto Cano, Esteban, López Gonzales, Javier Linkolk

“…Data were collected using validated psychometric instruments and analyzed through confirmatory factor analysis and structural equation modeling with bootstrapped standard errors (5,000 replications). Results FCD showed a significant positive association with CDD ( β = .42, p < .001) and directly predicted CEU ( β = .32, p < .001). …”
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Application of artificial intelligence techniques in the aquaculture sector: Systematic review of the American context por Levano Rodriguez, Danny, Pinedo, Lloy, Vizalote, Gorky, Navas-Vásquez, Manuel Enrique, López Gonzales, Javier Linkolk

“…The study analyzes the application of artificial intelligence techniques in aquaculture on the American continent through a systematic review of 31 articles published between 2020 and 2024 in the Scopus and SciELO databases. …”
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Data-Driven Socioeconomic Segmentation for Residential Energy Planning: A Machine Learning Approach por Ferreira, Lucas Camaz, Leite Coelho da Silva, Felipe, da Silva Cordeiro, Josiane, López Gonzales, Javier Linkolk, Tocto Cano, Esteban, Centurion, Lennin

“…By enabling data-driven socioeconomic segmentation based on observable electricity consumption patterns, this approach provides relevant insights for residential energy planning and contributes to more targeted and equitable energy policy design, supporting Sustainable Development Goal 7 on Affordable and Clean Energy and Sustainable Development Goal 10 on Reduced Inequalities.…”
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AI-driven optimization in cloud computing: a systematic review of cost, resource management, and security por Ito López, Ronaldy Solano, Gutierrez Oscata, Romel, Condori Coaquira, Angel Rosendo, Gonzales Medina, Ronny Ivan, López Gonzales, Javier Linkolk, Tocto Cano, Esteban

“…The synthesized evidence demonstrates that predictive provisioning systems and intelligent load-balancing mechanisms reduce operational costs by up to 85%, metaheuristic algorithms such as the Whale Optimization Algorithm and Particle Swarm Optimization improve energy efficiency by 30%-40% and increase resource utilization by up to 80%, and deep learning-based intrusion detection systems achieve accuracy levels exceeding 92%. …”
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Machine Learning Models for Predicting Professional Disqualification in Peruvian Association Members por Pretel Pretel, Manuel, Chávez Llempén, Yeny, Sullon Macalupu, Abel Angel, Rodrigues, Paulo Canas, López Gonzales, Javier Linkolk, Tocto Cano, Esteban

“…The results indicated that CatBoost performed best (F1-score = 57.96%; AUC = 0.72), whereas XGBoost showed greater stability across cross-validation folds. …”
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Teaching vocation as a key dimension of teacher education in Peru: evidence from the CVOC-D scale por Vera-Mendoza, Edwin Michel, Gonzales Medina, Ronny Ivan, Orrego Granados, David Leandro, Tocto Cano, Esteban, López Gonzales, Javier Linkolk

Materias: “…Teaching Vocation Scale (CVOC-D)…”
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A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation por Shah, Salman, Mahmoudi, Eisa, Qureshi, Moiz, Iftikhar, Hasnain, Rodrigues, Paulo Canas, Gonzales Medina, Ronny Ivan, López Gonzales, Javier Linkolk

“…The proposed estimator is examined using three real-world datasets, and its precision is further validated through a comprehensive simulation study. …”
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An Intelligent Hybrid Ensemble Model for Early Detection of Breast Cancer in Multidisciplinary Healthcare Systems por Iftikhar, Hasnain, Hashem, Atef F., Qureshi, Moiz, Rodrigues, Paulo Canas, Ali, S. O., Gonzales Medina, Ronny Ivan, López Gonzales, Javier Linkolk

“…Methods: The proposed system employs a multistage framework comprising three main phases: (1) data preprocessing and balancing, which involves normalization using the min–max technique and application of the Synthetic Minority Over-sampling Technique (SMOTE) to mitigate class imbalance; (2) model development, where multiple ML algorithms, DL architectures, and a novel ensemble model are applied to the preprocessed data; and (3) model evaluation and validation, performed under three distinct training–testing scenarios to ensure robustness and generalizability. …”
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Validation of a questionnaire assessing artificial intelligence use in secondary mathematics education in Peru por Susanibar Ramirez, Edgar Tito, Tapia Díaz, Abel, Torres Gallegos, Rudy Ricardo, Andrade Girón, Elia Clorinda, Tocto Cano, Esteban, López Gonzales, Javier Linkolk

Materias: “…artificial intelligence (AI)…”
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An intelligent ensemble machine learning model for early detection of chronic kidney disease in aging populations por Iftikhar, Hasnain, Hashem, Atef F., Mohamud, Liban Ali, Al-Moisheer, A. S., Gonzales Medina, Ronny Ivan, López Gonzales, Javier Linkolk

“…The ensemble model consistently outperformed individual classifiers, achieving a mean accuracy of 97.71%, specificity of 97.19%, sensitivity of 99.84%, Youden index of 86.55, Brier score of 1.43%, and F1 score of 98.19%. …”
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Random Forest Model for Optimizing Coagulant Doses in Drinking Water Treatment: Application at the Miguel de la Cuba Ibarra Plant por Gonzales Medina, Ronny Ivan, Carlos Mendoza, Juan Adriel, Zuñiga Goyzueta, Eduardo José, Morán-Silva, Rosa María, López Gonzales, Javier Linkolk

“…The model demonstrated robust predictive performance, achieving a coefficient of determination (R2) of 0.92 during training and 0.76 during validation with unseen data, alongside a Root Mean Square Error (RMSE) of 0.11 NTU and a Mean Absolute Percentage Error (MAPE) of 0.11 in the training phase. …”
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