Pathways to hydrogen production through variable renewable energy capacity: A study of Mexico and Jamaica

German Miranda Flores

Energy Conversion and Management

agosto 2025

This review assesses green hydrogen potential in Mexico and Jamaica, highlighting renewable energy capacities, key regions, production technologies, and barriers such as costs, infrastructure, and legislation.

El marketing social desde un enfoque interdisciplinario

Rodrigo Barcenas Lopez

Contexto UDLAP

agosto 2025

El marketing social usa técnicas del marketing tradicional para visibilizar problemas y promover cambios. Su éxito exige compromiso real, participación activa y estrategias ligadas a políticas públicas que aborden causas estructurales.

A Monte Carlo-based approach for the evaluation of Mexicos geothermal potential

German Miranda Flores

Renewable Energy

agosto 2025

Mexico’s geothermal reserves (~8000 MWe) can support green hydrogen generation. Using Monte Carlo simulations on 12 hot springs, the study estimates ~147.6 MWe capacity over 25 years.

Importancia de las “Habilidades Blandas” en un mercado laboral dominado por la IA

Raul Gonzalez Lopez

https:ia.udlap.mx

agosto 2025

El artículo destaca cómo la rápida transformación tecnológica y económica impulsada por la Inteligencia Artificial (IA) está afectando profundamente el mercado laboral.'El artículo destaca cómo la rápida transformación tecnológica y económica impulsada por la Inteligencia Artificial (IA) está afectando profundamente el mercado laboral.

El problema de las dos sigmas y los tutores de inteligencia artificial

Raul Gonzalez Lopez

https:ia.udlap.mx

agosto 2025

El fenómeno conocido como el “problema de las dos sigmas” de Bloom se refiere a la diferencia significativa en el rendimiento académico entre los estudiantes que reciben instrucción convencional en grupo y aquellos que reciben tutoría individualizada.

Fraudulent Event Detection via Temporal Graph Networks

Diego Saldana Ulloa

IEEE

julio 2025

The development of new objective functions in Neural Architecture Search (NAS) may include temporal and dynamic aspects of the problem to be modeled. In this line, we show the application of a temporal graph neural algorithm for detecting fraud on real data of an online payment platform, which is made up of different events that a user can perform, such as card registration, device registration, bank account registration, and IP registration. A combination of previous information generates different Event-Based Temporal Graphs (ETG) used in constructing the objective function for our neural network. The results show that combining different events effectively impacts AUC and recall, which is directly related to the proportion of fraudulent observations captured, and that there is a direct correlation between better metrics values and the graph density (measured as the proportion between vertices and edges). Few works focus on applying ETGs for fraud detection using real data and its analysis through the chara

A Temporal Graph Network Algorithm for Detecting Fraudulent Transactions on Online Payment Platforms

Diego Saldana Ulloa

MDPI

diciembre 2024

A temporal graph network (TGN) algorithm is introduced to identify fraudulent activities within a digital platform. The central premise is that digital transactions can be modeled via a graph network where various entities interact. The data used to build an event-based temporal graph (ETG) were sourced from an online payment platform and include details such as users, cards, devices, bank accounts, and features related to all these entities. Based on these data, seven distinct graphs were created; the first three represent individual interaction events (card registration, device registration, and bank account registration), while the remaining four are combinations of these graphs (card–device, card–bank account, device–bank account, and card–device–bank account registration). This approach was adopted to determine if the graph’s structure influenced the detection of fraudulent transactions. The results demonstrate that integrating more interaction events into the graph enhances the metrics, meaning graphs c