Families are the central nucleus of society; however, they face internal challenges that affect their functioning and stability, often manifesting in incidents of domestic and gender-based violence. The World Health Organization has classified this violence as a severe public health problem and a violation of human rights. To address this issue, the Congress of the Republic of Colombia enacted Law 2126 of 2021, introducing significant changes to the responsibilities of authorities in preventing, restoring, protecting, and repairing the rights of victims. This law provided a three-year implementation period for territorial entities, which concluded on 4 August 2023. In 2023, 119,483 cases were reported, and by June 2024, the number had reached 63,528—the highest recorded to date. This situation continued to escalate uncontrollably throughout 2024, overwhelming functional capacity and resulting in a crisis. Therefore, the objective of this study is to analyze the guarantee of rights for victims of violence in the family context, within the competencies of Family Commissariats, as outlined in Law 2126 of 2021. The methodology focuses on analyzing academic and scientific databases, including studies and articles published in indexed journals, to evaluate government measures and describe the challenges in service provision by Family Commissariats to propose conclusions. The approach is qualitative, with a hermeneutic, documentary, legal-dogmatic orientation and anthropological contributions. The results reveal that the law’s implementation has been gradual, surpassing the established deadline. Administrative, political, and financial factors identified over the three years remain unresolved in 2024. The situation for victims of physical, psychological, economic, and sexual violence within the family context has worsened due to multicausal obstacles to accessing justice in a timely, efficient, and effective manner. Consequently, there is evidence of an exponential increase in violence, underreporting, impunity, setbacks, procedural delays, normalization of violence, and re-victimization, among other issues.

Credit policies for clean and renewable energy businesses play a crucial role in supporting carbon neutrality efforts to combat climate change. Clustering the credit capacity of these companies to prioritize lending is essential given the limited capital available. Support Vector Machine (SVM) and Artificial Neural Network (ANN) are two robust machine learning algorithms for addressing complex clustering problems. Additionally, hyperparameter selection within these models is effectively enhanced through the support of a robust heuristic optimization algorithm, Particle Swarm Optimization (PSO). To leverage the strength of these advanced machine learning techniques, this paper aims to develop SVM and ANN models, optimized with the PSO, for the clustering problem of green credit capacity in the renewable energy industry. The results show low Mean Square Error (MSE) values for both models, indicating high clustering accuracy. The credit capabilities of wind energy, clean fuel, and biomass pellet companies are illustrated in quadrant charts, providing stakeholders with a clear view to adjust their credit strategies. This helps ensure the efficient operation of banking green credit policies.

This study explores the interactions between inflation and stock market. We carried out a bibliometric analysis with R package to highlight the worldwide research trends in the field, covering the period of three crises (financial, health crisis and war of Ukraine). Next, using monthly data for the period from 1 March 2020 to 31 August 2023 and based on a vector autoregressive model, impulse response and variance decomposition are performed to explore the dynamic relationships between inflation and Greek stock market. The results reveal the existence of high volatility in Athens’ stock market during COVID-19 pandemic, owning to a shock of the inflation. Regarding the period of Ukrainian war, the study verified the Fama’s hypothesis that there is a negative relationship between inflation and stock returns. The findings have significant implications for investors and policy makers.

One functional class is described in terms of one-sided modulus of continuity and the modulus of positive (negative) variation on which there
is a uniform convergence of the truncated cardinal Whittaker functions.