The objective of this study is to analyze populism in the Peruvian Congress (from 2021 to 2025). Its growth, in the global context, affects democratic processes and transforms or restructures institutions according to the interests of a particular group or its leaders. This phenomenon is not foreign to Peru, where it is evident that the current (congressional) regime operates against institutions by enacting laws that are not in the public interest. A qualitative investigation was conducted based on the analysis of information disseminated in two of the most representative digital media outlets: the newspapers “La República” and “El Comercio,” which have different editorial lines. The information was consolidated based on the following categories: controversial laws passed by Congress; problems in the selection of members of important institutions; and the coalitions formed in Congress between the right and left. It is concluded that the populism practiced by Congress affects democratic processes, the laws that have been passed do not respond to the problems or needs of the population, and the election of members of the most important institutions has been carried out based on the interests of the politicians in power.
Digital technologies and sustainability are the main trends that impact supply chains. This study seeks to expand the knowledge of Structural Equation Modeling (SEM) in digital and sustainable supply chains within social sciences, business and management fields. It presents a bibliometric analysis of the SEM statistical method applied to digitised and sustainable supply chain management. It also analyses the different types of SEM used: classic SEM, PLS-SEM, Bayesian SEM, and Multilevel SEM. The paper focuses on constructs and latent variables, dependent and independent variables, and the main theories utilised by other authors. Web of Science Core Collection is the source database, addressing these research areas. The results show that SEM, PLS-SEM and sustainability-related topics are analyzed mainly. The limitation is that the research focuses solely on one statistical method (SEM) to analyse digitised and sustainable supply chains, which could be solved in further studies.
This study describes an automated system for verifying the use of Personal Protective Equipment (PPE) related to machine vision and the YOLOv8 model. The images were collected with a digital camera and analyzed through the OpenCV library. To evaluate performance, the paired T-test was applied, which showed a statistically significant reduction in verification time (p = 0.043). In practice, the average inspection time was reduced from 32.4 s under manual supervision to 16.8 s when the automated system was used. The normality of the data was verified by the Shapiro–Wilk test (p > 0.05) the system has a low operating cost of 7.49 USD per month. Economic analysis indicates a return on investment of 351.03
This study describes the first steps to designing and evaluating a MOOC on Hybrid Photovoltaic Thermal Systems (HVTS), an emerging topic in Renewable Energy Education. We piloted the MOOC using a small group of 15 learners and developed a Learning Analytics Dashboard (LAD) specifically to analyze Learner Engagement, Performance and Difficulty. The pilot led to a high Completion Rate of 73.3
