Abstract In the late medieval and early modern period, beer and herring emerged as the predominant export products from the coastal region of the Netherlands. The archaeological tangible evidence of these two products are represented by casks. Even though these casks are a common find during archaeological research determining the original contents of these casks remains a challenge. This makes it difficult to connect users of the casks to specific products and their trade networks. This study is focused on the identification of Dutch beer and herring casks that were produced between the 15th and 18th centuries. To address this goal, various types of sources were utilized. Information regarding cask construction was obtained from archival legislative records. During their use, the casks were subject to monitoring by urban authorities and guild councils, who employed gauge instruments that are now preserved in museum collections, which were used to ascertain their specifications. Additionally, the casks themselves provide valuable insights into the packing material of beer and herring. Both casks depicted in artwork and those recovered from maritime archaeology sites were examined to gain a comprehensive understanding of beer and herring casks
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Collaborative approaches to destination design require conscious and reflexive stakeholder involvement in activities and decision making. Design science studies such participatory processes by observing design teams in practice. From these observations, scientists have identified design strategies and processes that design teams use to support their work in identifying problems and developing solutions. Observing design processes in tourism destinations provides an opportunity to identify successful co-design strategies for destination design. This study presents three key co-design strategies based on data collected from five living labs in five destinations. Each co-design strategy is presented with a recommended use, suggestions for stakeholder involvement, and activities to develop solutions efficiently and effectively with the available resources. Together, the strategies provide a framework to optimise decision-making in relation to shaping destination design processes, and to validate processes and outcomes.
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Young adult caregivers experience reduced wellbeing when the combination of family care and an educational program becomes too demanding. We aim to clarify the role views, competences, and needs of lecturers regarding the identification and support of these students to prevent negative mental health consequences. A mixed-methods explanatory sequential design was used. We collected quantitative data using a survey of lecturers teaching in bachelor education programs in the Netherlands ( n = 208) and then conducted in-depth interviews ( n = 13). Descriptive statistics and deductive thematic analyses were performed. Most participants (70.2%) thought that supporting young adult caregivers was the responsibility of the educational institution, and 49% agreed that it was a responsibility of the lecturer, but only 66.8% indicated that they feel competent to do so. However, 45.2% indicated that they needed more training and expertise to identify and support these students. All interviewees felt responsible for their students' wellbeing but highlighted a lack of clarity regarding their role fulfillment. In practice, their ability to identify and support these students depended on their available time and level of expertise. The lecturers required agreements on responsibility and procedures for further referral, as well as information on support and referral opportunities, communication skills courses, and peer-to-peer coaching.
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Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
Renewable energy, particularly offshore wind turbines, plays a crucial role in the Netherlands' and EU energy-transition-strategies under the EU Green Deal. The Dutch government aims to establish 75GW offshore wind capacity by 2050. However, the sector faces human and technological challenges, including a shortage of maintenance personnel, limited operational windows due to weather, and complex, costly logistics with minimal error tolerance. Cutting-edge robotic technologies, especially intelligent drones, offer solutions to these challenges. Smaller drones have gained prominence through applications identifying, detecting, or applying tools to various issues. Interest is growing in collaborative drones with high adaptability, safety, and cost-effectiveness. The central practical question from network partners and other stakeholders is: “How can we deploy multiple cooperative drones for maintenance of wind turbines, enhancing productivity and supporting a viable business model for related services?” This is reflected in the main research question: "Which drone technologies need to be developed to enable collaborative maintenance of offshore wind turbines using multiple smaller drones, and how can an innovative business model be established for these services? In collaboration with public and private partners, Saxion, Hanze, and RUG will research the development of these collaborative drones and investigate the technology’s potential. The research follows a Design Science Research methodology, emphasizing solution-oriented applied research, iterative development, and rigorous evaluation. Key technological building blocks to be developed: • Morphing drones, • Intelligent mechatronic tools, • Learning-based adaptive interaction controllers and collaborations. To facilitate the sustainable industrial uptake of the developed technologies, appropriate sustainable business models for these technologies and services will be explored. The project will benefit partners by enhancing their operations and business. It will contribute to renewing higher professional education and may lead to the creation of spin-offs/spinouts which bring this innovative technology to the society, reinforcing the Netherlands' position as a leading knowledge economy.
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.
