Abstract
An institution must understand its users to provide quality services, and archives are no exception. Over the years, archives have adapted to the technological world, and their users have also changed. To understand archive users' characteristics and motivations, we conducted a study in the context of the Portuguese Archives. For this purpose, we analysed a survey and complemented this analysis with information gathered in interviews with archivists. Based on the most frequent reasons for visiting the archives, we defined six main archival profiles (genealogical research, historical research, legal purposes, academic work, institutional purposes and publication purposes), later characterised using the results of the previous analysis. For each profile, we created a persona for a more visual and realistic representation of users.

Abstract
Social entrepreneurship is currently a field of research that has attracted increasing attention from various sectors of society mainly due to the difficulty of the various governments to respond to social needs. Higher education cannot remain indifferent to this challenge and must provide training programs specifically aimed at social entrepreneurship. This study intends to find out the dimensions that characterize the process of teaching social entrepreneurship in higher education and analyze the relevance of these dimensions for increasing entrepreneurial intention. This study considers a sample of 177 students and adopts a quantitative methodology based on descriptive and correlational parametric and nonparametric statistical methods. The results indicate that individual and organizational factors appear to be more integrated in the social entrepreneurship process than contextual factors. However, the social component is the only factor that shows a moderate correlation with entrepreneurial intention. The other dimensions of the model in isolation have a low and not significant correlation. Nevertheless, the contextual construct is not favorable for the emergence of new social entrepreneurship projects. The results of this study are relevant for higher education institutions to design social entrepreneurship programs in which the social component is an integral part of these programs, through outreach programs with local communities that can help identify socially relevant causes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

Abstract
Conflict-free Replicated Data Types (CRDTs) are useful to allow a distributed system to operate on data even when partitions occur, and thus preserve operational availability. Most CRDTs need to track whether data evolved concurrently at different nodes and needs to be reconciled; this requires storing causality metadata that is proportional to the number of nodes. In this paper, we try to overcome this limitation by introducing a stochastic mechanism that is no longer linear on the number of nodes, but whose accuracy is now tied to how much divergence occurs between synchronizations. This provides a new tool that can be useful in deployments with many anonymous nodes and frequent synchronizations. However, there is an underlying trade-off with classic deterministic solutions, since the approach is now probabilistic and the accuracy depends on the configurable metadata space size.

Abstract
This article provides a framework for coordinating the operation of multiple microgrids with hydrogen systems in a distribution network considering the uncertainties of wind and solar power generation as well as load demands. The model is based upon a bilevel stochastic programming problem. On the upper level, the distribution system is the leader with a profit-maximization goal, and the microgrids are followers with cost-minimization goals on the lower level. The problem is solved by transforming the model to a single-level model using Karush-Kuhn-Tucker (KKT) conditions and linearized using McCormick's relaxation and Fortuny-Amat techniques. Unlike previous studies, both levels are modeled as scenario-based stochastic problems. Moreover, the scenarios associated with uncertain variables are obtained from a real data set. After preparing the data set, scenarios are reduced using a machine learning-based clustering approach. An application of the coordinated operation model is developed for a distribution network containing several microgrids. By solving the problem, the optimal amount of power exchange and the clearing price between microgrids and distribution systems are determined. Moreover, the proposed bilevel model made 13% more profit for the distribution system than the centralized model. Also, the effects of integrating hydrogen systems with microgrids on increasing the flexibility of operators are investigated.

Abstract
This essay addresses the importance of geotechnics and marine georesources in developing technologies. The study proposes a coastal and marine geoengineering approach that focuses on five domains (5G’s): georesources, geology, geotechnics, geomechanics and geotechnologies. These domains are considered in several engineering projects related to coastal, hydraulic, marine, and maritime applications. The reality of a world in rapid, continuous evolution has put into perspective a multidisciplinary approach combining different practices and coastal strategies. That is the main driving force that should be considered when dealing with geoengineering projects in general. Moreover, geological resources and the potential exploitation of mineral and rock raw materials boost innovative techniques and upscaling geo-robotic systems. Finally, the essay unravels new trends in challenging and extreme environments and natural hazards, highlighting emerging fields such as deep-sea mining, geo-exploration, offshore, coastal, harbour and marine geotechnics. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
There is an increasing need for autonomous mobile robots (AMRs) in industrial environments. The capability of autonomous movement and transportation of items in industrial environments provides a significant increase in productivity and efficiency. This need, coupled with the possibility of controlling groups of heterogeneous robots, simultaneously addresses a wide range of tasks with different characteristics in the same environment, further increasing productivity and efficiency. This paper will present an implementation of a system capable of coordinating a fleet of heterogeneous robots with robustness. The implemented system must be able to plan a safe and efficient path for these different robots. To achieve this task, the TEA* (Time Enhanced A*) graph search algorithm will be used to coordinate the paths of the robots, along with a graph decomposition module that will be used to improve the efficiency and safety of this system. The project was implemented using the ROS framework and the Stage simulator. Results validate the proposed approach since the system was able to coordinate a fleet of robots in various different tests efficiently and safely, given the heterogeneity of the robots.