Abstract
We show how (well-established) type systems based on non-idempotent intersection types can be extended to characterize termination properties of functional programming languages with pattern matching features. To model such programming languages, we use a (weak and closed) lambda-calculus integrating a pattern matching mechanism on algebraic data types (ADTs). Remarkably, we also show that this language not only encodes Plotkin's CBV and CBN lambda-calculus as well as other subsuming frameworks, such as the bang-calculus, but can also be used to interpret the semantics of effectful languages with exceptions. After a thorough study of the untyped language, we introduce a type system based on intersection types, and we show through purely logical methods that the set of terminating terms of the language corresponds exactly to that of well-typed terms. Moreover, by considering non-idempotent intersection types, this characterization turns out to be quantitative, i.e. the size of the type derivation of a term t gives an upper bound for the number of evaluation steps from t to its normal form.

Abstract
This paper examines the role of digital twins (DTs) in promoting sustainability within seaport operations and logistics. DTs have emerged as promising tools for enhancing seaport performance. Despite the recognized potential of DTs in seaports, there is a paucity of research on their practical implementation and impact on seaport sustainability. Through a systematic literature review, this study seeks to elucidate how DTs contribute to the sustainability of seaports and to identify future research and practical applications. We reviewed and categorized 68 conceptual and practical digital applications into ten core areas that effectively support economic, social, and environmental objectives in seaports. Furthermore, this paper proposes five preliminary potential applications for DTs where practical implementations are currently lacking. The primary findings indicate that DTs can enhance seaport sustainability by facilitating real-time monitoring and decision-making, improving safety and security, optimizing resource utilization, enhancing collaboration and communication, and supporting the development of the seaport ecosystem. Additionally, this study addresses the challenges associated with DT implementation, including high costs, conflicting stakeholder priorities, data quality and availability, and model validation. The paper concludes with a discussion of the implications for seaport managers and policymakers.

Abstract
Purpose: This study addresses the development of a variant process planning tool, following the Knowledge-Based Variant Process Planning methodology, applied in a case study and presents the gains achieved. Methodology/Approach: Case study supported by six steps: (1) Feature Analysis, (2) Knowledge Retrieval, (3) Inference, (4) Plan Adaptation, (5) Knowledge Update, and (6) Plan Validation/Optimisation. Findings: The implementation of the Knowledge-Based Variant Process Planning tool led to significant improvements: planner time reduced by 70%, analyst workload by 90%, and process plan errors to 0%. Results show this approach significantly improves process planning in customised production. Research Limitation/Implication: The limitations are associated with the specificity of the case study problem-the electric engine production systems. Originality/Value of paper: This study helps fill the gap in case studies on the Variant Process Planning approach, specifically for electric engine production systems, paving the way for similar companies to adopt Knowledge-Based Variant Process Planning.

Abstract
Editing 360 degrees videos remains a challenge in the content creation process of immersive experiences, video editing tools are primarily presented as 2D desktop GUI applications. These interfaces provide limited capabilities for previewing content in a virtual reality (VR) headset or for manipulating the spherical video directly in an intuitive manner. As a result, editors must alternate between editing on the desktop and previewing in the headset, which may be tedious and interrupts the creative process. In this work, we present the conceptualization, implementation, and evaluation of an immersive 3D editor, built as an extension of an existing 2D editor, which allows for 360 degrees editing directly using a VR headset with controllers. The editor provides the main functionalities to create 360 degrees experiences augmented with visual annotations to provide information or guide users' attention during the viewing experience. The immersive editor was evaluated through a user study to assess its usability and intuitiveness. Participants performed several tasks in both the existing 2D editor and the developed immersive editor, and provided feedback on their experience. Results indicate that performing editing tasks in the immersive editor felt overall easier and more intuitive, while also identifying potential changes and improvements to be addressed as future work.

Abstract
Electrical systems are constantly transforming to achieve global decarbonization and address the climate emergency. This process involves a substantial modernization of the distribution network that includes the integration of distributed energy resources, particularly those using inverter interfaces. Given the inevitability of faults, it is crucial to strengthen the infrastructure of protection systems so they can handle the new challenges imposed by this evolution. This article explores the challenges associated with protecting active distribution networks, caused by the incorporation of technologies such as rotary machines and power electronic converters. Special attention is given to critical issues such as changes in short-circuit currents, the bidirectional flow of currents, and the response times of protection relays. Current practical solutions are examined, and their limitations identified, highlighting the urgent need to develop more sophisticated and tailored protection schemes for the particularities of these networks. Additionally, the fault detection process is described in detail, breaking down the stages of parameter acquisition, signal processing, and fault classification, based on recent research. Finally, future trends in protection schemes are discussed, emphasizing the importance of continuously adapting and optimizing protection strategies in response to the dynamic evolution of electrical networks.

Abstract
Demand-Driven Material Requirements Planning (DDMRP) has been proposed as a solution for managing uncertainty and variability in supply chains by combining decoupling, buffer management and demand-driven planning principles. A key element of DDMRP is its inventory replenishment model, which relies on dynamically adjusted inventory buffers rather than fixed stock levels. However, parameterization of these buffers often involves subjective choices, raising concerns about consistency and performance. This paper assesses the DDMRP replenishment model through discrete-event simulation of a multi-echelon, capacity-constrained production system. Two alternative formulations of the safety stock term in the red zone are compared: the original factor-based approach and a revised formula that incorporates measurable variability coefficients. While both safety stock formulations yield similar numerical results, the revised formula enhances transparency and reduces subjectivity. Assessing the impact of introducing a buffer for components in addition to a finished goods buffer further shows that the components buffer can reduce finished goods inventory requirements while maintaining service levels. These findings contribute to a better understanding of the DDMRP replenishment model, offering practical insights for parameter selection and supply chain design.