Abstract
Renewable energies, particularly photovoltaic (PV) systems, stand out as one of the sustainable solutions for mitigating climate change. This aspect assumes even more relevance in a scenario of high penetration of PV production, with a consequent increase in the number of parks to be kept operational by asset managers. It is imperative to recognize the significance of an early fault-diagnosis system in this context. This work proposes a solution for detecting and classifying faults in a photovoltaic power plant (PVPP), including open circuit, short circuit, partial shading and degradation. The considered approach relies on using a lightGBM model trained with data scarcity generated by a digital twin. In light of the scarcity of data labeled with fault information, this paper will present the methodology employed to generate synthetic data. These findings highlight that thoughtful feature selection and split strategy can significantly improve classification accuracy, even when limited data. © European Alliance for Innovation 2026.

Abstract
The lack of open-source platforms capable of integrated operational modeling and multi-scenario decarbonization analysis, often hinders data-driven decision-making in the maritime sector. To address this gap, this paper presents an open-source, multi-agent, discrete-event simulator capable of accurately forecasting the energy consumption associated with the diverse assets and activities within a container terminal. The tool's modular architecture enables transparent evaluations of operational strategies and decarbonization alternatives by allowing users to systematically modify inputs or alter embedded energy modules. The tool's capabilities were validated through a case study of a medium-sized Portuguese container terminal. For this particular port, findings indicate that installing three onshore power supply (OPS) units and fully electrifying the internal truck fleet yields the most substantial emission reductions. However, these interventions result in a two-fold increase in daily electricity demand, potentially straining grid capacity. This finding underscores that the effectiveness of terminal electrification as a decarbonization strategy ultimately depends on a simultaneous transition to a decarbonized and secure energy supply.

Abstract
In the context of the diversity and complexity of laboratory processes, it is crucial to address the vulnerabilities associated with healthcare. Proper risk management becomes essential to ensure quality and safety in this environment. In this sense, the application of risk management tools and methodologies plays a crucial role in the identification, assessment and mitigation of potential risks present in laboratory processes performed, especially in a hospital environment. The present work addresses the theme of risk and safety management in a hospital environment, with the aim of promoting a safe environment for this community. The Healthcare Failure Mode and Effect Analysis methodology was applied to identify and mitigate the risks associated with medical equipment used in a medical genetics laboratory. The methodology included data collection, failure analysis, risk quantification, decision tree application and risk evaluation. Among the 19 failures analyzed none demonstrated a Risk Priority Number (RPN) greater than 8, suggesting that the equipment operates within acceptable risk thresholds. The results highlighted the importance of the safety of healthcare professionals and the proper functioning of equipment to ensure patient safety. The study contributed to the development of preventive and corrective actions, as well as providing future improvements and implementation of the methodology in other services of the hospital. © 2025 Elsevier B.V., All rights reserved.

Abstract
Despite growing commitments to inclusive education, higher education institutions struggle with digital accessibility. Accessibility problems often remain invisible to educators during content creation and difficult for institutions to monitor and manage at scale. We present a Moodle-integrated accessibility system that connects real-time evaluation of PDF materials at upload time with an institutional dashboard that aggregates accessibility metrics across courses and departments. By doing so, the system aims to link everyday teaching practices with higher-level monitoring and decision-making. To understand how educators and coordinators engage with this integrated approach, we conducted a formative user study. Results indicate that while visual feedback and aggregated metrics increase accessibility awareness, a critical tension remains: compliance-oriented technical language hinders educators from translating detection into remediation. These findings suggest that detection and monitoring, while necessary, are not sufficient on their own. Effective accessibility infrastructures must also support meaningful, actionable engagement with accessibility in everyday teaching practice.

Abstract

Abstract
Container terminals are of pivotal importance to global trade, as they act as a bridge between maritime and land transport. However, inefficiencies in operations, such as long waiting times and high emissions, continue to challenge the industry. Current practices, including first-come-first-served (FCFS) berth allocation, often result in ships arriving too early and idling at anchorage, leading to increased fuel consumption and negative environmental impacts. Just-in-Time (JIT) strategies have been identified as a potentially effective approach to address these issues by aligning ship arrivals with berth availability, thus optimising speed and reducing emissions. In this work, we present a simulation-based decision-support tool to evaluate JIT strategies in container terminal operations. By analysing scenarios involving speed optimisation and resource investments, the tool provides insights into key performance metrics, including waiting times, emissions, and resource utilisation. A case study designed around a large Portuguese seaport was used to validate the approach, with significant reductions in emissions and operational inefficiencies. These findings highlight the potential of JIT operations to enhance sustainability and efficiency in the maritime sector. Copyright © 2025. Published by Elsevier B.V.