The number of people who combine work and unpaid care is increasing rapidly as more people need care, public and private care systems are progressively under pressure and more people are required to work for longer. Without adequate support, these working carers may experience detrimental effects on their well-being. To adequately support working carers, it is important to first understand the challenges they face. A scoping review was carried out, using Arksey and O’Malley's framework, to map the challenges of combining work and care and solutions described in the literature to address these challenges. The search included academic and grey literature between 2008 and 2018 and was conducted in April 2018, using electronic academic databases and reference list checks. Ninety-two publications were mapped, and the content analysed thematically. A conceptual framework was derived from the analysis which identified primary challenges (C1), directly resulting from combining work and care, primary solutions (S1) aiming to address these, secondary challenges (C2) resulting from solutions and secondary solutions (S2) aiming to address secondary challenges. Primary challenges were: (a) high and/or competing demands; (b) psychosocial/-emotional stressors; (c) distance; (d) carer's health; (e) returning to work; and (f) financial pressure. This framework serves to help those aiming to support working carers to better understand the challenges they face and those developing solutions for the challenges of combining work and care to consider potential consequences or barriers. Gaps in the literature have been identified and discussed.
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This article describes a European project which was aimed at improving the situation of persons with psychiatric or learning disabilities with regard to social participation and citizenship. The project took place in three countries (Estonia, Hungary and the Netherlands) and four cities (Tallinn, Budapest, Amersfoort and Maastricht). The project included research and actions at the policy level, the organizational level and the practice level. At the policy level, the framework of the United Nations Convention on the Rights of Persons with Disabilities (United Nations, 2006) and the European Disability Strategy (European Commission, 2010) were used to look at national and local policies, at the reality of the lives of those with disabilities and at the support that professional services offer with regard to participation and inclusion. The project generated a number of insights, recommendations and methods by which to improve the quality of services and increase the number of opportunities for community engagement. In this article, we present some of the lessons learned from the meta-analysis. Although the circumstances in each country are quite different with regard to policy, culture and service systems, it is remarkable that people with disabilities face many of the same problems. The study shows that in all three countries, access to services could be improved. Barriers include bureaucratic procedures and a lack of services. The research identified that in every country and city there are considerable barriers regarding equal participation in the field of housing, work and leisure activities. In addition to financial barriers, there are the barriers of stigma and self-stigmatization. Marginalization keeps people in an unequal position and hinders their recovery and participation. In all countries, professionals need to develop a stronger focus on supporting the participation of their clients in public life and in the development of different roles pertaining to citizenship
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The concept of Smart Healthy Age-Friendly Environments (SHAFE) emphasises the comprehensive person-centred experience as essential to promoting living environments. SHAFE takes an interdisciplinary approach, conceptualising complete and multidisciplinary solutions for an inclusive society. From this approach, we promote participation, health, and well-being experiences by finding the best possible combinations of social, physical, and digital solutions in the community. This initiative emerged bottom-up in Europe from the dream and conviction that innovation can improve health equity, foster caring communities, and sustainable development. Smart, adaptable, and inclusive solutions can promote and support independence and autonomy throughout the lifespan, regardless of age, gender, disabilities, cultural differences, and personal choices, as well as promote happier and fairer living places.
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Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.
Due to the existing pressure for a more rational use of the water, many public managers and industries have to re-think/adapt their processes towards a more circular approach. Such pressure is even more critical in the Rio Doce region, Minas Gerais, due to the large environmental accident occurred in 2015. Cenibra (pulp mill) is an example of such industries due to the fact that it is situated in the river basin and that it has a water demanding process. The current proposal is meant as an academic and engineering study to propose possible solutions to decrease the total water consumption of the mill and, thus, decrease the total stress on the Rio Doce basin. The work will be divided in three working packages, namely: (i) evaluation (modelling) of the mill process and water balance (ii) application and operation of a pilot scale wastewater treatment plant (iii) analysis of the impacts caused by the improvement of the process. The second work package will also be conducted (in parallel) with a lab scale setup in The Netherlands to allow fast adjustments and broaden evaluation of the setup/process performance. The actions will focus on reducing the mill total water consumption in 20%.
