Olga Czeranowska, Izabela Grabowska, Iga Wermińska-Wiśnicka
Since the 2004 European Union enlargement, the United Kingdom has seen a significant influx of Polish migrants, many of whom initially found employment in low-skilled roles due to their immediate availability and low entry barriers. This study explores the career changes of young adult Polish migrants in the UK over the past two decades. Using data from British public statistics – the Annual Population Survey (APS) and in-depth interviews – we comprehensively analyse their labour market positionalities in the UK. Our findings reveal a shift from initial deskilling and confinement to the secondary labour market to diverse, upwardly mobile career changes. This study emphasises the critical role of practical skills, work ethics, experience, and social networks in migrants’ professional development. This research contributes to the broader discourse on post-EU enlargement of Central and Eastern European migration, providing a nuanced understanding of young adult Polish migrants’ labour market experiences in the UK.
Carina Soler Pons, Ana de Marco García, Ricard Martínez
et al.
The fragmentation and decentralization of medical data, including radiological imaging, continue to challenge large-scale observational research across Europe. Artificial Intelligence (AI) applied to big datasets is transforming diagnosis and treatments towards precision medicine across many diseases, yet the lack of findable, accessible, and interoperable datasets still limits model development, validation, and final clinical translation. The European Federation for Cancer Images (EUCAIM) project was launched in 2023 to address these challenges by establishing a secure centralized and federated infrastructure for the secondary use of large-scale oncological imaging and related clinical data. By consolidating fragmented datasets, EUCAIM lays the groundwork for harmonized data governance and trusted cross-border sharing. Implementing a robust documentation framework is essential to ensure regulatory compliance, safeguard data integrity, and support secure data flows across institutional and national boundaries, fully aligned with European regulations and ethical standards. EUCAIM builds on the AI for Health Imaging (AI4HI) initiative (Predictive In-silico Multiscale Analytics to support cancer personalized diagnosis and prognosis, empowered by imaging biomarkers - PRIMAGE, Accelerating the lab to market transition of AI tools for cancer management - CHAIMELEON, Novel pan-European imaging platform for artificial intelligence advances in oncology - EuCanImage, An AI Platform integrating imaging data and models, supporting precision care through prostate cancer’s continuum - ProCancer-I, A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer - INCISIVE and integrates over 94 partners and more than 180 stakeholders spanning medical imaging, high performance computing, data standardization, innovation, and legal compliance. This large collaborative ecosystem reinforces EUCAIM’s role as a reference for General Data Protection Regulation (GDPR) and European Health Data Space Regulation (EHDSR) adherence. This publication presents the real-world experience of integrating imaging and clinical data from a reference university hospital into the EUCAIM infrastructure. It outlines the procedural, ethical, and legal challenges encountered, and details the strategies implemented to ensure compliance with data protection regulations, including privacy, security, and ethical standards. These insights offer a practical framework for future large-scale oncological imaging datasets harmonization and AI development, contributing to scalable, reproducible, and legally compliant research that strengthens Europe’s capacity for trustworthy AI-driven oncology solutions.
In several European countries, regulatory frameworks now allow households to form energy communities and trade energy locally via local energy markets (LEMs). While multiple mechanisms exist to allocate locally produced energy among members, their fairness remains insufficiently understood despite energy justice being a key concern for communities. This paper first provides a thorough description of the collective self-consumption process in France, offering a real world framework for researchers. We then review the main types of fairness relevant to LEMs and identify appropriate indicators for each, including a new scalable indicator to evaluate meritocratic fairness. Using simulations across 250 randomly generated residential communities of 20 households, we assess and compare fairness across different LEM distribution mechanisms. Results show that average financial savings reach 12% with 40% PV uptake. Among the four widely used LEM mechanisms assessed, glass-filling with prioritization yields the highest egalitarian and min max fairness. Double auction and pro rata schemes promote meritocracy, while standard glass filling offers a strong balance across fairness objectives.
A study of the Revista General de Informacion y Documentacion, from 2005 to 2022. The objective is aimed at qualifying the structure of the research field and assessing the trajectory of the thematic areas covered. Applying as methodology the analysis of co-words, the construction of bibliometric networks and the creation of scientific maps. 514 documents are extracted from the Web of Science (WoS) database. The keywords assigned by the authors of the documents are selected and divided into three subperiods: 2005-2010, 2011-2016 and 2017-2022. In the results, 1701 author keywords and 37 bibliometric networks are obtained. In the period 2005-2010, the structure of the research field is represented on the scientific map with very few central and specialized topics, considering an initial and underdeveloped organization. In the period 2011-2016, the structure of the research field is distributed on the scientific map with a more varied number of central and specialized topics, but still insufficient, considering an organization in the process of development. In the period 2017-2022, the structure of the research field is shown on the map with all kinds of family of topics (central, specialized, transversal, emerging or disappearing), being valued as a dynamic, complex and heterogeneous organization. Regarding the evolution of the thematic areas, the map shows solid progress between the last two periods. The morphology of the thematic field treated in RGID is outlined in three phases: foundation, process of development and consolidation.
Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Didier Stricker
Large language models (LLMs) have achieved remarkable success in text-based tasks but often struggle to provide actionable guidance in real-world physical environments. This is because of their inability to recognize their limited understanding of the user's physical context. We present SituationalLLM, a novel approach that integrates structured scene information into an LLM to deliver proactive, context-aware assistance. By encoding objects, attributes, and relationships in a custom Scene Graph Language, SituationalLLM actively identifies gaps in environmental context and seeks clarifications during user interactions. This behavior emerges from training on the Situational Awareness Database for Instruct-Tuning (SAD-Instruct), which combines diverse, scenario-specific scene graphs with iterative, dialogue-based refinements. Experimental results indicate that SituationalLLM outperforms generic LLM baselines in task specificity, reliability, and adaptability, paving the way for environment-aware AI assistants capable of delivering robust, user-centric guidance under real-world constraints.
Today one of the most strategically important directions of improvement of the activity of educational institutions becomes the implementing of technology of mentoring in the educational system. The need for mentoring is due to the fact that rapid changes in the education system, transformation of organizational processes require that all participants of educational relations flexible and instant reaction. Mentoring allows to connect professional development, resistance to change, the formation of new competencies, as well as mutual social exchange in an integrated approach to each participant of the educational process. Despite discussions of scholars and practitioners concerning mentoring problems, there is no single methodological approach to the organization of mentoring system in an educational institution of higher education as a unit of innovative educational system. The article analyzes the history of development, principles and types of mentoring, reveals the content of mentoring system; presents the results of the author’s research and suggests a mechanism for organizing a mentoring system in an educational institution of higher education. As a tool for the development of the mentoring system at the university, it is proposed to create a community – a club for the development of meta-skills within the educational institution.
The article is devoted to the early phase of the career of Martin Eric Nasmith (1883–1965) and is an attempt to summarise his achievements during three underwater patrols in the Dardanelles and the Sea of Marmara in 1915. Those missions brought him the appellation of the most effective British submariner of WW1. In Anglophone historiography, all the books and articles related to this subject constitute a one-sided narrative based solely on British sources. Thus, the author has made the first attempt in western historiography to compare the British and Turkish points of view. Although a few such efforts have been made in Tur- key, their results are not widely known to western historians, and in some cases, they raise objections. The decision to take up this challenge came from an awareness that Nasmith’s view of the situation at the moment when he was personally observing the effects of his attacks could not be complete and entirely objective. He could not have known that some of the vessels he had sunk in shallow coastal waters were salvaged by the Turks and restored to service. The article gives detailed coverage of the attacks conducted by Nasmith on Ottoman warships, steam-powered merchant ships and land targets, during all three patrols of the “E11” submarine. As a result of his research, the author was able to draw attention to the fact that the results of “E11”’s second patrol were incomparably more favourable than those of the first one (for which Nasmith was awarded the Victoria Cross), both in terms of losses inflicted on the Ottoman Navy and on the transport fleet. In the case of the latter, the total tonnage of definitively sunken steam-powered vessels was more than 470 percent higher. While Nasmith claimed that he had sunk at least 122 Ottoman vessels during all three patrols, Turkish sources indicate that the total number of warships and steam-powered transport ships definitively destroyed by him did not exceed fifteen.
Naval Science, History (General) and history of Europe
Background: Geospatial linked data brings into the scope of the Semantic Web and its technologies, a wealth of datasets that combine semantically-rich descriptions of resources with their geo-location. There are, however, various Semantic Web technologies where technical work is needed in order to achieve the full integration of geospatial data, and federated query processing is one of these technologies. Methods: In this paper, we explore the idea of annotating data sources with a bounding polygon that summarizes the spatial extent of the resources in each data source, and of using such a summary as an (additional) source selection criterion in order to reduce the set of sources that will be tested as potentially holding relevant data. We present our source selection method, and we discuss its correctness and implementation. Results: We evaluate the proposed source selection using three different types of summaries with different degrees of accuracy, against not using geospatial summaries. We use datasets and queries from a practical use case that combines crop-type data with water availability data for food security. The experimental results suggest that more complex summaries lead to slower source selection times, but also to more precise exclusion of unneeded sources. Moreover, we observe the source selection runtime is (partially or fully) recovered by shorter planning and execution runtimes. As a result, the federated sources are not burdened by pointless querying from the federation engine. Conclusions: The evaluation draws on data and queries from the agroenvironmental domain and shows that our source selection method substantially improves the effectiveness of federated GeoSPARQL query processing.
Fixed point results of Perov type mapping which satisfy generalized Tcontractive conditions in the setup of cone b-metric spaces associated with generalized c-distance are proved and illustrated by nontrivial examples.
Although gambling is traditionally associated with homosocial competition and with the prestige of the aristocratic ethos, Restoration comedies abound with examples of marginal characters at the gambling table. This article explores the symbolic implications of these marginal gamblers in plays written and produced during the reigns of Charles II and James II. These characters, whether they be women or comic butts, show us to what extent gambling constitutes a moment of suspension, or even of renegociation of theatrical, social and political hierarchies, ranging from brief moments of carnivalesque relief to genuine revenge of the weak over the powerful.
History (General) and history of Europe, French literature - Italian literature - Spanish literature - Portuguese literature
Non-fullerene acceptor (NFA) materials have posed new paradigms for the design of organic solar cells (OSC), whereby efficient carrier generation is obtained with small driving forces, in order to maximize the open-circuit voltage. In this paper we use a coarse-grained mixed quantum-classical method, that combines Ehrenfest and Redfield theories, to shed light on charge generation process in small energy offset interfaces. We have investigated the influence of the energetic driving force as well as the vibronic effects on the charge generation and photovoltaic energy conversion. By analyzing the effects of the Holstein and Peierls vibrational couplings, we find that vibrational couplings produce an overall effect of improving the charge generation. However, the two vibronic mechanisms play different roles: the Holstein relaxation mechanism decreases the charge generation whereas the Peierls mechanism always assists the charge generation. Moreover, by examining the electron-hole binding energy as a function of time, we evince two distinct regimes for the charge separation: the temperature independent excitonic spread on a sub-100 fs timescale and the complete dissociation of the charge-transfer state that occurs on the timescale of tens to hundreds of picoseconds, depending on the temperature. The quantum dynamics of the system exhibits the three regimes of the Marcus electron transfer kinetics as the energy offset of the interface is varied.