La Salle University

Support for restricting civil rights remains a central concern in psychological science. Among these rights, access to information has increasingly been regulated, including through policies limiting adolescents' use of social media. Yet little is known about how adolescents themselves evaluate such measures or how ideological dispositions structure their support. Drawing on research linking Right-Wing Authoritarianism (RWA) to endorsement of restrictive policies, the present study examined whether RWA and age predict support for a new Brazilian law that prohibits unsupervised social media use for individuals under 16 (the so-called Felca Law). A sample of 308 Brazilian adolescents (ages 11–19; 48.4% female) completed measures of RWA and support for the Felca Law. Higher RWA and older age independently predicted greater support for the law, with no significant interaction between them. These findings indicate that authoritarian ideological dispositions operate during adolescence and extend to contemporary digital regulation. Support for the Felca Law appears to be shaped less by developmental maturation than by stable ideological mechanisms, even in a policy domain framed around youth protection.

Labor provisions in preferential trade agreements are becoming increasingly relevant, yet research has predominantly focused on global trends and developed economies. In Latin America, scholars have focused either on country-specific analyses or on individual agreements, resulting in a fragmented approach. The objective of this article is to identify the determining factors that explain the depth of labor provisions in Latin American preferential trade agreements. We conduct a cross-sectional analysis, employing linear regressions on data from 114 preferential trade agreements signed 1990-2015. Our research delves into government political orientation, trade union participation, informality rates, and intra-industrial competition to provide a comprehensive analysis. Our findings reveal that interactions among freedom of association and wage bargaining, regime type and stability (rather than political orientation), and trade openness and intra-industrial competition shape the depth of labor standards in preferential trade agreements in Latin American countries. These findings highlight the relevance of regional approaches in contrast with global studies.

Credit scores have traditionally been calculated from sociodemographic and credit information contained in the databases of financial entities. After the recommendations of the Basel committee in 2004 and the 2008 crisis, the lack of updating of the models and the existence of information asymmetries became evident. In the present systematic review of 30 articles on psychological factors and their relationship with credit risk, the lack of consensus on default is evident and its main psychological predictors are intelligence and the big five traits, among others.

Introduction: The management of people living with HIV has seen significant advances in recent decades with antiretroviral therapy (ART); however, healthcare professionals continue to face challenges in clinical management, particularly in viral load interpretation and therapeutic decision-making. This study aimed to standardize the definitions and guidelines for the interpretation and management of persistent low-level viremia in people with HIV receiving antiretroviral therapy in Colombia. Materials and methods: A systematic review of the literature addressing four clinical questions was performed. Evidence was classified according to the Oxford Centre for Evidence-Based Medicine (2009). A modified Delphi consensus method was employed, which involved national experts. The strong consensus threshold was defined as reaching agreement among 80% of the participating experts. Results: Eighteen relevant documents were reviewed in this study. Twelve recommendations with strong consensus were developed, focusing on the definition of persistent low-level viremia, targeted genotyping from 200 copies/mL, and the transition to regimens with a high genetic barrier. Discussion: Recent studies suggest that persistently detectable low-level viremia may increase the risk of emerging resistance and virologic failure. This document adopts a more conservative, clinically oriented approach, in line with the recommendations of the DHHS and GeSIDA. The importance of assessing adherence, optimizing regimens, and judiciously using genotyping is emphasized. In conclusion, careful assessment of adherence, use of high genetic barrier regimens, and an individualized approach optimize care for people with HIV with persistent low-level viremia, especially in uncertain clinical scenarios.

Last-mile delivery is a critical and complex element of supply chain network design because ineffective planning can lead to higher customer dissatisfaction, increased operational costs, and greater environmental impacts. These challenges intensify in the context of Quick Commerce (Q-commerce), a retail model characterized by extremely short fulfillment cycles and strict delivery expectations. This study develops a decision support system for multi-depot vehicle routing problems with time windows to optimize last-mile delivery operations in Q-commerce. The model offers two delivery-speed options: fast and ultra-fast, and requires customers to select their preferred service type. Ultra-fast delivery does not permit delays, whereas fast delivery allows delays with an associated penalty. To enhance system resilience and reduce the risk of service disruption, both in-house and platform riders are included, enabling a mix of fixed and flexible delivery capacity. Model performance is assessed through 15 simulated problem instances, demonstrating that the system generates accurate and reliable routing and assignment decisions. A seven-scenario sensitivity analysis further highlights the model’s adaptability to changes in inter-node distances, customer delivery preferences, and rider employment costs. To incorporate service quality considerations, the model is then extended into a bi-objective formulation that includes customer satisfaction as a secondary objective, and an additional set of 15 simulated instances is solved using the augmented epsilon-constraint method. The resulting insights offer practical guidance for decision-makers in selecting rider types, assigning routes, and providing customers and store operators with more precise arrival-time estimates.