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
Hydrogen plays an increasingly important role in the energy transition, particularly as a means of storing surplus renewable energy. This paper evaluates the feasibility of integrating a hydrogen production and storage system into a hybrid PV-grid-hydrogen energy system, combining technical optimisation with a detailed techno-economic assessment. The optimisation results show that hydrogen is produced exclusively from renewable energy surpluses and is used only during limited periods when it is economically advantageous, leading to a significant reduction in grid electricity purchases. The study case achieved a 42.1% decrease in annual energy bought from the grid compared to the fully grid-supplied scenario. The negative NPV, undefined IRR, absence of payback, and high Levelised Cost of Energy highlight the strong impact of the high capital costs associated with hydrogen technologies, particularly the electrolyser. These results validate that, while hydrogen can technically enhance renewable energy integration and energy autonomy at the microgrid level, its widespread adoption remains constrained by economic factors. © 2026 IEEE.

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.

Abstract
Circular startups (CSUs) play a crucial role in the circular transition by developing circular business models (CBMs) that minimise resource use and narrow material and energy loops. However, empirical research on how CBMs shape growth strategies and how ecosystems enable or constrain scaling remains limited. This study aims to fill this gap by analysing the growth strategy of CSUs, addressing their circularity, business model and scalability strategies. It analysed 44 CSUs operating in packaging and plastics, textiles and food, water and nutrients value chains, using a qualitative multiple-case design. Results show that CSUs predominantly adopt Commercial and ecosystem scalability strategies, linking replication and geographical expansion with access to partners, resources and markets, and implementing platform- or waste-based CBMs. The study expands existing frameworks by conceptualising Ecosystem Strategy as a core scalability approach and clarifying its mechanisms, offering guidance for entrepreneurs and policymakers seeking to foster circular transformation.

Abstract
Depression remains a major global mental health challenge, and early screening still depends largely on self-report questionnaires, despite their vulnerability to response bias and limited insight into the response process. This study examined the feasibility of a human-in-the-loop, LLM-based chatbot for depression screening under real-time supervision by a licensed psychologist. Twenty-one participants completed the DASS-21 in two digital formats: a static form and a conversational chatbot interface. In the chatbot condition, LLM-generated follow-up questions were reviewed by the psychologist before delivery. Interaction data were collected in both conditions using a digital phenotyping screening tool. The results suggest that the chatbot is a usable alternative for administering screening instruments and that process-level behavioral traces may add contextual information beyond final questionnaire responses. These findings support the potential of clinician-supervised chatbot workflows for enriching depression screening, while highlighting the need for further validation of the clinical relevance of such behavioral signals. © 2026 Copyright held by the owner/author(s).