This study analyzes the effects of external debt management—specifically debt-for-education swaps—on educational outcomes in native communities of the Central Peruvian Jungle. Based on cross-sectional data from 22 educational jurisdictions, the research applies a multivariate framework incorporating financial, institutional, and governance variables. Multiple linear regression models reveal that both the number of debt-financed educational projects and the volume of swapped debt are significantly associated with reductions in illiteracy and improvements in enrollment and completion rates. The analysis further indicates that institutional design plays a critical role: simplified contractual arrangements and higher perceived transparency correlate with better educational performance, whereas overly complex agreements tend to reduce program effectiveness. Although the model demonstrates explanatory strength regarding infrastructure and access, its predictive capacity is limited in the case of Intercultural Bilingual Education, suggesting the need for complementary cultural and pedagogical strategies. The findings underscore the strategic value of debt swaps as equity-oriented financing tools and contribute to broader debates on the role of fiscal instruments in advancing inclusive human capital development in structurally excluded regions.

University Social Responsibility (USR) programs are closely linked to comprehensive student education, as they integrate academic learning with ethical, social, and civic development; these programs not only strengthen students' technical knowledge, but also promote values such as solidarity, commitment, and empathy by involving them in community actions and projects oriented to the common good; This study sought to establish the degree of connection between USR and comprehensive university education. A basic type study with a quantitative approach and correlational level, the survey technique and the instrument were used, the questionnaire called University Social Responsibility and Comprehensive Student Education. The population consisted of 221 students from the Faculty of Engineering of a public university in the department of Junín - Peru , the inclusion criterion being enrolled in the 2025-I academic period. The data were processed through structural equations (SEM); Within the results, we can see a Spearman Rho correlation coefficient of 0.831 with a significance level of 0.001, which demonstrates a positive and strong association between the variables studied. Furthermore, the general hypothesis of a significant relationship between University Social Responsibility and the comprehensive development of students is validated.

Social media plays a fundamental role in shaping eating habits, especially among young people, since their use through digital platforms has transformed the way they access information about nutrition, recipes, diets, and healthy lifestyles. Constant exposure to visual content and messages related to food directly influences daily decisions about what, how, and when to eat. The study aimed to establish the relationship of social media with eating habits in university students from a private university in the city of Huancayo, located in the Junín region of Peru. The research was basic under a quantitative approach with a cross-sectional section, the population was made up of 311 university students enrolled in the 2025-I academic period. The results were processed through structural equations using the Jamovi program. These results indicate a high degree of relationship between the study variables, given that the Spearman Rho correlation coefficient was 0.832 and 0.000 as the significance level, demonstrating a strong, positive relationship. The study concluded that there was a strong, significant relationship between the dimensions of the social media use variable (network use, platform type, social interaction, and personal and social impact) and eating habits.

Public management seeks to balance efficiency and effectiveness to ensure that administrative simplification benefits both institutions and users. This study aims to determine the extent to which service quality optimizes administrative simplification. This is an applied research study, with a quantitative approach and explanatory-correlational level, conducted with 122 students from the Faculty of Animal Husbandry at the National University of Central Peru - Huancayo. Inductive-deductive, experimental, comparative, and statistical methods were used, with a longitudinal design. A questionnaire based on the Technical Standard for Service Quality Management in the Public Sector was administered. The results, analyzed using the Z statistical test with a 95% confidence interval, showed a value of 3.527, accepting the alternative hypothesis (μD > 0). This demonstrates that administrative simplification improved significantly after the implementation of strategies designed to correct weaknesses detected in the diagnosis. Consequently, the improvement in service quality resulted in improved administrative simplification, reducing service times and costs. It is concluded that the implementation of strategic actions led to improved service quality, directly benefiting the student population.

The present study analyzes the characterization of adhesion properties in intermediate layers of asphalt pavement, a critical factor influencing road durability and performance. The research is based on a systematic review of scientific literature, highlighting different methodologies for evaluating interlayer bonding, experimental tests, and international standards such as AASHTO, ASTM, and MTC regulations. A comparative analysis was conducted between samples obtained from the “Improvement of the Santa Maria - Santa Teresa - Hydroelectric Machu Picchu Bridge Road” project and laboratory simulations using the LOTTMAN test. The results demonstrate that the amount of tack coat significantly affects interlayer adhesion. Experimental tests confirmed that a tack coat application rate of 0.4 l/m² provides optimal indirect tensile strength (TSR) values, improving mechanical bonding between asphalt layers. Moreover, findings indicate discrepancies between laboratory simulations and real-world construction data, emphasizing the need for field verification to ensure adherence to project specifications. The study concludes that optimizing tack coat application techniques is crucial for enhancing pavement structural integrity. Future research should focus on refining non-destructive testing methods, such as the Falling Weight Deflectometer (FWD), to evaluate interlayer adhesion in situ. Establishing standardized adhesion evaluation protocols will contribute to more durable and cost-effective pavement infrastructure.

The COVID-19 pandemic generated significant social transformations in different sectors of society, one of the most important being the labor market. This research establishes the relationship between these transformations and employment trends among repowered item vendors in the city of Huancayo, Peru. Three key dimensions were addressed: destruction, expansion, and modification of employment. The research adopted a quantitative approach, with an exploratory, descriptive, and correlational design. Validated questionnaires were administered to a representative sample of 331 repowered item vendors. The results indicate a significant relationship between social transformation and employment trends, which is reflected in a reconfiguration of employment in this sector. A loss of job opportunities was evident; however, an expansion of employment was also observed through adaptation to new forms of marketing and the growing demand for repowered products. Likewise, changes in labor dynamics were identified, including the use of new sales strategies and the digitization of processes. In conclusion, the pandemic not only negatively affected employment in this sector, but also encouraged resilience and adaptation strategies.

Websites have become the digital showcase for companies, organizations, and people in a globalized world. These platforms are essential for communication, e-commerce, education, and entertainment. The objective of this study is to analyze the relationship between the quality of information on websites and user satisfaction in public higher education in Tarma. This is basic research with a quantitative and correlational approach, carried out with a sample of 428 students of the professional careers of Administration, Nursing, and Agroindustrial Engineering enrolled in 2024 at the Universidad Nacional Autónoma Altoandina de Tarma, located in the Department of Junín. The data were processed and modeled using structural equations based on PLS. The results show a Spearman's Rho correlation coefficient of 0.852 and a significance level of 0.000, which shows a high positive correlation between the variables studied. Likewise, the general hypothesis is confirmed, which establishes a significant relationship between usability, information quality, service interaction quality and user satisfaction of the university website.

The purpose of this research work is to evaluate the use of statistical tools, specifically Ordinary Least Squares (OLS) and Artificial Neural Networks (ANN) and with the help of these tools to be able to independently and effectively predict the costs. of production in the context of supply logistics in the Peruvian paper industry. Both models that turn out to be different in their analysis, however, turn out to be complementary for a more exact and precise result, highlighting the ANNs for their superior performance in the precision of the evaluated metrics, where they managed to achieve an RMSE of 0.0171 and a MAE of 0.0122 compared to the OLS statistical model that achieved an RMSE of 0.0181 and a MAE of 0.2070. Likewise, the analysis between the dimensions studied, purchasing management stands out with a negative coefficient of -0.4978, which shows that its optimization will generate a positive impact on production costs, contrary to the case with the other two dimensions, which are: storage management and inventory management, which resulted in positive coefficients (0.7457 and 0.4667), which shows that their optimization does not necessarily generate a positive impact on production costs, but quite the opposite, that their inadequate management On the contrary, it can harm production costs. These results highlight the inherent need that Peruvian paper companies must have in being able to implement updated logistics systems, capable of integrating advanced statistical tools such as the use of ANN and MCO, which can scientifically help better decision making, allowing thereby improving your supply processes and thus being able to reduce your production costs.

The focus of this research is to analyze how supply chains’ management affects production costs in the cardboard and Packaging sector in Peru, specifically through the creation of artificial neural networks (ANN) to improve the logistical activities. Non-experimental quantitative design was applied, collected the data from the Year 2020 to the Year 2024 and sought to assess variables such as supplier capacities, stocks held, bottom line costs incurred and stock out ratios. The study revealed that there exists a proportionate inverse relationship between the logistical costs and production costs, proving that as the cost of acquiring goods needed for production as well as the cost of keeping and managing stock decreases, the overall production cost also decreases significantly. The ANN model was able to perform cost predictions with a high degree of accuracy which points out the relevance of sophisticated instruments in the shift of the supply chain. Also, it is important to note the core contribution of the research – effective logistics management is emphasized as a way of increasing competition in industries where supply chains are of critical importance. This research reinforces the effectiveness of designing ANN in minimizing costs, while adding knowledge to the reporting practice of the companies aimed at bettering their costs. The results are a good contribution in terms of technological change in logistics aimed at helping the organizations remain flexible in a changing economy.

The present study analyzed the relationship between the average annual temperature and the area of Amazonian forest in the departments of Peru during the period 2013-2021, using a panel data model with random effects. The data used come from the National Institute of Statistics and Informatics (INEI) and include the average annual temperature in degrees Celsius and the area of Amazonian rainforest in thousands of hectares, both disaggregated by department. Additionally, CO2 emissions resulting from the loss of tree cover, measured in megatons (Mt) of carbon dioxide equivalent (CO₂e), were considered as a control variable. The results revealed a positive and statistically significant relationship between the area of Amazonian forest and the average annual temperature, denoting that an increase of one thousand hectares in the extension of the forest corresponds to an increase of 0.0004 °C in temperature. In this sense, the finding contradicts the climate-regulating role played by forests, however, this is attributed to the influence of unobserved confounding variables that are linked to both forest area and temperature.