Imagen biblioteca

El Repositorio Institucional de la UNIVERSIDAD TÉCNICA DE MACHALA, tiene el objetivo de preservar y dar visibilidad al contenido académico y científico que produce la institución tales como: tesis, trabajos finales de graduación, libros, artículos, resultados de investigación, trabajos docentes, etc. El repositorio esta siendo indexado por varios cosechadores a nivel nacional e internacional como: RRAAE, LA REFERENCIA, REDI, etc. Con la finalidad de incrementar la visibilidad a los recursos bibliográficos, además de permitir la consulta y citación del contenido académico en todo el mundo.


Recent Submissions

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    Salud mental en personal militar: impacto de la interacción familia-trabajo en conflicto armado
    (2025) Verduga Guerrero, Isaac Napoleón; Sánchez Padilla, Yadira Liliana
    Combat exposure increases military personnel's vulnerability to psychological consequences associated with their work. This effect is mediated by factors such as social support and work-family interaction. When family-work conflicts occur, stress levels increase significantly. The objective was to determine whether the type of work-family interaction is related to the development of symptoms of depression, anxiety, and stress in Ecuadorian military personnel during the Internal Armed Conflict. A non-experimental, quantitative, cross-sectional, descriptive-correlational-causal design was used. The sample consisted of 64 active-duty Ecuadorian military personnel. The SWING and DASS-21 scales were administered. Positive correlations were identified between the negative dimensions of work-family interaction and the symptoms analyzed. It is concluded that family and work conflicts negatively impact military mental health, constituting a risk factor for depression, anxiety, and stress.
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    Actitudes parentales hacia la ESI en secundaria: Ecuador versus contextos internacionales.
    (2025) Vera Castro, Verónica Jacqueline; Carpio Mosquera, Carlos Patricio
    Comprehensive Sex Education (CSE) in secondary education is a scientific intervention that promotes healthy development in adolescents, but faces barriers due to parental perceptions. The objective was to analyze parental perceptions and attitudes toward CSE program implementation in secondary educational centers, considering cultural gaps between Ecuador and international contexts. A systematic review methodology following PRISMA was used, analyzing 74 studies published between 2010-2025. Results show that parental perceptions in Ecuador are influenced by cultural, social, and religious factors, generating significant gaps compared to international contexts, with greater resistance in traditional contexts and greater acceptance in societies with consolidated inclusive educational policies.
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    Prevención del suicidio en contextos digitales
    (2025) Vaca Jaramillo, Jorge Antonio; Durán Solórzano, Stéfano Alexander
    With the aim of analyzing the scientific evidence on digital technologies and artificial intelligence in suicide prevention through a systematic review, the PRISMA methodology was applied by consulting five academic databases (Web of Science, Scopus, PubMed, Science Direct, EBSCO) using specific Boolean operators. Out of 600 initial records, 40 studies (2020-2025) were selected after applying inclusion/exclusion criteria. The results indicate that the identified technologies include therapeutic chatbots, large language models, machine learning algorithms, and social media analysis. They showed effectiveness in early detection, psychoeducational intervention, and emotional support in diverse populations (adolescents, adults, veterans). Conclusions establish that digital technologies and AI present significant potential for suicide prevention, requiring rigorous clinical validations and ethical frameworks for safe implementation.
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    Systematic review and meta-analysis of explainable machine learning models for clinical depression detection
    (2025) Trelles Urgiles, Francisco Ariosto; Fontaines Ruiz, Tomás Iván
    Depression is among the most prevalent mental disorders, and its early detection is essential to improving therapeutic outcomes in psychotherapy. This systematic review and meta-analysis evaluated the accuracy, interpretability, and generalizability of supervised algorithms (SVM, Random Forest, XGBoost, and GCN) for clinical detection of depression using real-world data. Following PRISMA guidelines, 20 studies published between 2014 and 2025 were analyzed across major scientific databases. Extracted metrics included F1- Score, AUC-ROC, interpretability methods (SHAP/LIME), and cross-validation strategies, with statistical analyses using ANOVA and Pearson correlations. Results showed that XGBoost achieved the best average performance (F1-Score: 0.86; AUC-ROC: 0.84), although differences across algorithms were not statistically significant (p > 0.05), challenging claims of algorithmic superiority. SHAP was the predominant interpretability approach (70% of studies). Studies implementing combined SHAP+LIME showed higher F1-Score values (F(1,7) = 8.71, p = 0.021), although this association likely reflects greater overall methodological rigor rather than a direct causal effect of interpretability on predictive performance. Clinical surveys and electronic health records demonstrated the most stable predictive outputs across validation schemes, whereas neurophysiological data achieved the highest point estimates but with limited sample representation. F1-Score strongly correlated with AUC-ROC (r = 0.950, p < 0.001). Considerable heterogeneity was observed for both metrics (I2 = 74.37% for F1; I2 = 71.49% for AUC), and Egger’s test indicated a publication bias for AUC (p = 0.0048). Overall, findings suggest that algorithmic performance depends more on data quality, context, and interpretability than on the choice of model, with explainable approaches offering practical value for personalized and collaborative clinical decision-making.
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    DBT en TEPT en mujeres víctimas de violencia sexual: revisión sistemática
    (2025) Tobar Jaramillo, Paola Andrea; Serpa Carangui, Eliana Maribel; Salamea Nieto, Rosa Marianela
    Sexual violence is a critical risk factor for the development of posttraumatic stress disorder (PTSD) in adult women, particularly when accompanied by emotional dysregulation, dissociation, and self-harming behaviors. This systematic review analyzed 29 studies published between 2010 and 2025 on the application of Dialectical Behavior Therapy for PTSD (DBT-PTSD) in women survivors of sexual violence. Findings indicate that DBT- PTSD produces significant reductions in PTSD symptoms, with superiority over traditional cognitive therapies, better safety profile, and higher treatment adherence. Core components such as emotion regulation, mindfulness, and radical acceptance emerge as active mechanisms of change linked to reductions in self-harm and improvements in overall functioning. However, dissociation and variability in skill practice appear to moderate treatment effectiveness. Overall, DBT-PTSD stands as an effective and adaptable therapeutic framework, with important clinical implications for implementation across diverse healthcare settings