Abstract

Abstract

Abstract
Understanding user behavior in search systems is essential for improving retrieval effectiveness and user satisfaction. While prior research has extensively examined general-purpose web search engines, domain-specific contexts—such as sports information—remain comparatively underexplored. In this study, we analyze over 400,000 interaction log entries from a sports-oriented search engine collected over a two-week period. Our analysis combines classic query-level metrics (e.g., frequency distributions, query lengths) with a detailed examination of click behavior, including entropy-based intent variability and a custom query quality scoring model. Compared to established baselines from general and specialized search environments, we observe a high proportion of new and single-term queries, as well as a notable lack of representativeness among top queries. These findings reveal patterns shaped by the event-driven and entity-centric nature of sports content, offering actionable insights for the design of domain-specific retrieval systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Abstract

Abstract
Informal caregiving for People Living with Dementia (PLD) presents multifaceted challenges encompassing emotional, practical, and societal dimensions. This study explores the experiences of informal caregivers in Portugal and investigates the potential role of technology, particularly mHealth solutions, in addressing their needs. A mixed-methods approach incorporating questionnaire surveys and semi-structured interviews gathered insights regarding participants' caregiving experiences and technology usage. Findings reveal prevalent emotional challenges, practical limitations, and societal stigmas caregivers face, underscoring the need for enhanced support systems. Moreover, the study identifies deficiencies in mobile apps designed for caregivers and highlights the potential of Emotional Design (ED) principles to address these shortcomings. Future research should focus on validation, longitudinal studies, and co-design approaches to develop targeted interventions that support informal caregivers of PLD in Portugal and beyond. This study deepens understanding of informal caregiving and highlights the need to integrate emotional considerations into mHealth solutions to enhance caregiver wellbeing and dementia care outcomes. © 2025 The Author(s).

Abstract
This paper presents an optimisation approach based on mixed-integer programming for tactical planning decisions within fresh fruit processing industries. It applies to fruits such as oranges, tomatoes, guavas and others, where diluted fruit juice needs to be concentrated in evaporators to produce semi-finished or finished products. It considers agricultural and industrial activities, integrating them to address complex and interconnected decisions. Agricultural tasks include planting, harvesting, and transporting fruits from fields to processing plants, while industrial activities involve the production, inventory, and transportation of semi-finished and final products. This approach accommodates multiple agricultural regions, fruit varieties, processing plants, and products, operating on a weekly basis within a one-year planning horizon. It offers a detailed solution for harvesting, the fruit juice concentration process, inventory management for the products produced, and transportation of raw materials and products among processing plants. Production of semi-finished products is modelled using the Proportional Lot-Sizing and Scheduling Problem and the production of finished products is modelled adopting a blending lot-sizing problem. The results were validated through computational experiments using a dataset from a company that processes tomatoes and guavas. Scenario analyses were conducted to evaluate the solution's consistency and real-world applicability. The findings indicate that the approach can support decision making in practice, highlighting its potential as a valuable managerial, analytical, and optimisation tool for some agri-food industries.