Abstract
Over the years, many solutions have been suggested in order to improve object detection in maritime environments. However, none of these approaches uses flight information, such as altitude, camera angle, time of the day, and atmospheric conditions, to improve detection accuracy and network robustness, even though this information is often available and captured by the UAV. This work aims to develop a network unaffected by image-capturing conditions, such as altitude and angle. To achieve this, metadata was integrated into the neural network, and an adversarial learning training approach was employed. This was built on top of the YOLOv7, which is a state-of-the-art realtime object detector. To evaluate the effectiveness of this methodology, comprehensive experiments and analyses were conducted. Findings reveal that the improvements achieved by this approach are minimal when trying to create networks that generalize more across these specific domains. The YOLOv7 mosaic augmentation was identified as one potential responsible for this minimal impact because it also enhances the model's ability to become invariant to these image-capturing conditions. Another potential cause is the fact that the domains considered (altitude and angle) are not orthogonal with respect to their impact on captured images. Further experiments should be conducted using datasets that offer more diverse metadata, such as adverse weather and sea conditions, which may be more representative of real maritime surveillance conditions. The source code of this work is publicly available at https://git hub.com/ipleiria-robotics/maritime-metadata-adaptation.

Abstract
This paper presents a literature review on Data Envelopment Analysis assessments of economic efficiency, covering methodological developments and empirical applications. We review the seminal models for economic efficiency measurement, involving the optimization of cost, revenue, and profit. The applications of the different modelling approaches are also discussed. Based on a content analysis of papers published between 1978 and 2020 in various sectors, the main areas of study are identified, and the pathways of research developments are discussed. Most studies are based on disaggregated quantity and price data. In addition, the use of panel data is prevalent compared to cross-sectional studies. There is a preponderance of input -oriented studies focused on cost efficiency rather than revenue or profit efficiency. Informed by the historical evolution of economic efficiency assessments portrayed in this review, we suggest directions for future developments. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

Abstract
This study addresses the sonar perceptual ambiguity problem inherent in underwater sonar-based SLAM systems, resulting from the sonar's wide beam aperture. We propose a SLAM algorithm that integrates a free-space mapping approach with a particle filter, leveraging polar-based acoustic images collected from an MSIS. Our method utilizes grid maps to compile information on empty regions, aiming at improving mapping accuracy. Free-space representations are further leveraged for particle filter weight update via scan matching. The centre-of-mass map cell representation is exploited for efficient weight update using simple matrix operations. Illustrative experimental results are provided, based on real data collected from a testing pool environment.

Abstract
This book results from an initiative by the European university consortium EUGLOH - European University Alliance for Global Health - between the University of Porto, Portugal (U.P.), and the University of the Arctic, Norway (UiT). To support the activity consisting of a three-day masterclass and workshop at UiT, designated as “Tromsø Idea Camp 2024 - Developing ideas through co-creation using human-centred design,” which had as its motto: . “Identify the needs and expectations of Vardesenteret’s patients before, during, and after treatment, considering their and volunteers’ points of view and creating projectual answers that foster empathy and communication”, a handbook was created, which later formed the basis of this book. It has three sections dedicated to Person-Centred Design in the Context of Health and Well-being. The first section— ”Reported Experience”, — Relates to the doctoral project “Ludic Activities in Health Context: An Anorexia Nervosa Case in the Hospital Environment,” which systematizes Ludic methods and tools created in and for a clinical context to support the treatment and monitoring of Anorexia Nervosa. Part of the project stems from collaborative work with São João Central Hospital, Portugal, in a group dedicated to treating eating disorders. The second section - “Documented Experience” — Explores the concept of Positive Play, coined by Giesteira, B., Cardoso, P., and Peçaibes, V. in various papers and book chapters from 2021 onwards. It presents a group of methods and tools created by the authors in recent years, such as the SEED Toolkit - “SomaEsthetics for Enabling Designers” (Giesteira, B. 2023) and the ANgame Collab (Cardoso, P., Peçaibes, V., Giesteira, B. 2022). The first tool aims to work on the concept of Somaesthetics, promoting empathy and contributing to identifying feelings and sensations interdependent on body activities and movements. The second tool aims to mediate playful sessions of Participatory Design, especially in the ‘user research’ phase. Other tools and methods were selected because, based on the aforementioned authors’ experience, they are most suitable for applied research in Health Technology Design. The third section - “Lived Experience” — Records the three days of the workshop dedicated to the themes: “Emotional Design and Somaesthetics”; “Human-Centered and Participatory Design”; “Ideation, Lateral Thinking, and Prototype.” In addition to the aforementioned themes, the different phases of development of the participants' projects from the various universities of the EUGLOH university consortium are recorded, which, in a Participatory Design approach, involved the collaboration of volunteers and oncology patients from Vardesenteret. This section shares the tools used to support each phase of product or service design and the final results of the low-fidelity prototypes.

Abstract
Context. Dual-field interferometric observations with VLTI/GRAVITY sometimes require the use of a binary calibrator. This is a binary star whose individual components remain unresolved by the interferometer, with a separation between 400 and 2000 mas for observations with the Unit Telescopes (UTs), or 1200-3000 mas for the Auxiliary Telescopes (ATs). The separation vector also needs to be predictable to within 10 mas for a proper pointing of the instrument. Aims. No list of properly vetted calibrators was available so far for dual-field observations with VLTI/GRAVITY on the UTs. Our objective is to compile such a list and make it available to the community. Methods. We identified a list of candidates from the Washington Double Star (WDS) catalogue, all with appropriate separations and brightness, scattered over the southern sky. We observed them as part of a dedicated calibration programme, determined whether these objects were true binaries (excluding higher multiplicities resolved interferometrically, but unseen by imaging), and extracted measurements of the separation vectors. We combined these new measurements with those available in the WDS to determine updated orbital parameters for all our vetted calibrators. Results. We compiled a list of 13 vetted binary calibrators for observations with VLTI/GRAVITY on the UTs, and we provide orbital estimates and astrometric predictions for each of them. We show that our list guarantees that there are always two binary calibrators at least at an airmass < 2 in the sky over the Paranal observatory at any point in time. Conclusions. Any principal investigator wishing to use the dual-field mode of VLTI/GRAVITY with the UTs can now refer to this list to select an appropriate calibrator. We encourage the use of whereistheplanet to predict the astrometry of these calibrators, which seamlessly integrates with p2Gravity for VLTI/GRAVITY dual-field observing material preparation.

Abstract
Raw materials are essential for Europe’s industrial base, as they are used to produce vital goods and technologies. The European Comission’s assessment identifies lithium and tin as critical and strategic raw materials due to rising demand. A PhD thesis aims to create a 3D geological model of the Argemela District in Central Portugal to provide vital information about the genesis of the hydrothermal tin and lithium mineralizations founded in the region. The study places emphasis on the very-low-frequency (VLF) electromagnetic method as a tool to provide information about the mineralization, lithologic contacts, and structural features that can be related to the mineralizations. Argemela district has two main areas, the Argemela Tin and Lithium Mine and the Argemela Hill Top. VLF data was collected and analyzed, showing that low resistivity may be associated with mineralization in the Argemela Mine, while high resistivity may be linked to the Argemela microgranite in the Argemela Hill Top. This geophysical method is effective in non-invasively mapping subsurface features, assisting in the development of a comprehensive 3D geological model and enhancing resource evaluation.