Background: Functional Capacity (FC) is a multidimensional construct within the activity domain of the International Classification of Functioning, Disability and Health framework (ICF). Functional capacity evaluations (FCEs) are assessments of work-related FC. The extent to which these work-related FC tests are associated to bio-, psycho-, or social factors is unknown. The aims of this study were to test relationships between FC tests and other ICF factors in a sample of healthy workers, and to determine the amount of statistical variance in FC tests that can be explained by these factors. Methods: A cross sectional study. The sample was comprised of 403 healthy workers who completed material handling FC tests (lifting low, overhead lifting, and carrying) and static work FC tests (overhead working and standing forward bend). The explainable variables were; six muscle strength tests; aerobic capacity test; and questionnaires regarding personal factors (age, gender, body height, body weight, and education), psychological factors (mental health, vitality, and general health perceptions), and social factors (perception of work, physical workloads, sport-, leisure time-, and work-index). A priori construct validity hypotheses were formulated and analyzed by means of correlation coefficients and regression analyses. Results: Moderate correlations were detected between material handling FC tests and muscle strength, gender, body weight, and body height. As for static work FC tests; overhead working correlated fair with aerobic capacity and handgrip strength, and low with the sport-index and perception of work. For standing forward bend FC test, all hypotheses were rejected. The regression model revealed that 61% to 62% of material handling FC tests were explained by physical factors. Five to 15% of static work FC tests were explained by physical and social factors. Conclusions: The current study revealed that, in a sample of healthy workers, material handling FC tests were related to physical factors but not to the psychosocial factors measured in this study. The construct of static work FC tests remained largely unexplained.
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Het ondergaan van een eenzijdige beenamputatie is een drastische chirurgische ingreep. Mensen, die na een amputatie in staat zijn om te lopen met een prothese, zijn functioneel onafhankelijker, en hebben een hogere kwaliteit van leven dan mensen die in een rolstoel belanden. Het is daarom niet verrassend dat het herwinnen van de oopvaardigheid één van de voornaamste doelen is tijdens de revalidatie. Doel van het onderzoek was om inzicht te krijgen in de factoren die het herwinnen en onderhouden van de loopvaardigheid van mensen na een beenamputatie beïnvloeden. Gebaseerd op de resultaten van het onderzoek kan geconcludeerd worden dat de fysieke capaciteit hierbij een belangrijke rol speelt. Een relatief kleine verbetering in de capaciteit kan al resulteren in significante en klinisch relevante verbeteringen. Hoewel geavanceerde prothesen de mechanische belasting van het lopen met een beenprothese verminderen, kan een ineffectieve balanscontrole deze positieve resultaten weer tenietdoen. ABSTRACT Undergoing a lower limb amputation is a life-changing surgery. The ability to walk greatly influences the subject's functional independence and quality of life. Not surprisingly, regaining walking ability is one of the primary goals during prosthetic rehabilitation. The primary aim of the research performed was to enhance our understanding of some of the factors that influence the ability to regain and maintain walking after a unilateral lower limb amputation. Based on the results we can deduce that a person's physical capacity plays an important role in their walking ability. Relatively small improvements in capacity could lead to significant and clinically relevant improvements in people's walking ability. Furthermore, results show that sophisticated prosthetic feet can reduce the mechanical load experienced when walking with a prosthesis. Interestingly, inefficient balance control strategies can undo any positive effect of these prostheses.
The ever-increasing electrification of society has been a cause of utility grid issues in many regions around the world. With the increased adoption of electric vehicles (EVs) in the Netherlands, many new charge points (CPs) are required. A common installation practice of CPs is to group multiple CPs together on a single grid connection, the so-called charging hub. To further ensure EVs are adequately charged, various control strategies can be employed, or a stationary battery can be connected to this network. A pilot project in Amsterdam was used as a case study to validate the Python model developed in this study using the measured data. This paper presents an optimisation of the battery energy storage capacity and the grid connection capacity for such a P&R-based charging hub with various load profiles and various battery system costs. A variety of battery control strategies were simulated using both the optimal system sizing and the case study sizing. A recommendation for a control strategy is proposed.
The maximum capacity of the road infrastructure is being reached due to the number of vehicles that are being introduced on Dutch roads each day. One of the plausible solutions to tackle congestion could be efficient and effective use of road infrastructure using modern technologies such as cooperative mobility. Cooperative mobility relies majorly on big data that is generated potentially by millions of vehicles that are travelling on the road. But how can this data be generated? Modern vehicles already contain a host of sensors that are required for its operation. This data is typically circulated within an automobile via the CAN bus and can in-principle be shared with the outside world considering the privacy aspects of data sharing. The main problem is, however, the difficulty in interpreting this data. This is mainly because the configuration of this data varies between manufacturers and vehicle models and have not been standardized by the manufacturers. Signals from the CAN bus could be manually reverse engineered, but this process is extremely labour-intensive and time-consuming. In this project we investigate if an intelligent tool or specific test procedures could be developed to extract CAN messages and their composition efficiently irrespective of vehicle brand and type. This would lay the foundations that are required to generate big data-sets from in-vehicle data efficiently.
The project aims to improve palliative care in China through the competence development of Chinese teachers, professionals, and students focusing on the horizontal priority of digital transformation.Palliative care (PC) has been recognised as a public health priority, and during recent years, has seen advances in several aspects. However, severe inequities in the access and availability of PC worldwide remain. Annually, approximately 56.8 million people need palliative care, where 25.7% of the care focuses on the last year of person’s life (Connor, 2020).China has set aims for reaching the health care standards of the developed countries by 2030 through the Healthy China Strategy 2030, where one of the improvement areas in health care includes palliative care, thus continuing the previous efforts.The project provides a constructive, holistic, and innovative set of actions aimed at resulting in lasting outcomes and continued development of palliative care education and services. Raising the awareness of all stakeholders on palliative care, including the public, is highly relevant and needed. Evidence based practice guidelines and education are urgently required for both general and specialised palliative care levels, to increase the competencies for health educators, professionals, and students. This is to improve the availability and quality of person-centered palliative care in China. Considering the aging population, increase in various chronic illnesses, the challenging care environment, and the moderate health care resources, competence development and the utilisation of digitalisation in palliative care are paramount in supporting the transition of experts into the palliative care practice environment.General objective of the project is to enhance the competences in palliative care in China through education and training to improve the quality of life for citizens. Project develops the competences of current and future health care professionals in China to transform the palliative care theory and practice to impact the target groups and the society in the long-term. As recognised by the European Association for Palliative Care (EAPC), palliative care competences need to be developed in collaboration. This includes shared willingness to learn from each other to improve the sought outcomes in palliative care (EAPC 2019). Since all individuals have a right to health care, project develops person-centered and culturally sensitive practices taking into consideration ethics and social norms. As concepts around palliative care can focus on physical, psychological, social, or spiritual related illnesses (WHO 2020), project develops innovative pedagogy focusing on evidence-based practice, communication, and competence development utilising digital methods and tools. Concepts of reflection, values and views are in the forefront to improve palliative care for the future. Important aspects in project development include health promotion, digital competences and digital health literacy skills of professionals, patients, and their caregivers. Project objective is tied to the principles of the European Commission’s (EU) Digital Decade that stresses the importance of placing people and their rights in the forefront of the digital transformation, while enhancing solidarity, inclusion, freedom of choice and participation. In addition, concepts of safety, security, empowerment, and the promotion of sustainable actions are valued. (European Commission: Digital targets for 2030).Through the existing collaboration, strategic focus areas of the partners, and the principles of the call, the PalcNet project consortium was formed by the following partners: JAMK University of Applied Sciences (JAMK ), Ramon Llull University (URL), Hanze University of Applied Sciences (HUAS), Beijing Union Medical College Hospital (PUMCH), Guangzhou Health Science College (GHSC), Beihua University (BHU), and Harbin Medical University (HMU). As project develops new knowledge, innovations and practice through capacity building, finalisation of the consortium considered partners development strategy regarding health care, (especially palliative care), ability to create long-term impact, including the focus on enhancing higher education according to the horizontal priority. In addition, partners’ expertise and geographical location was also considered important to facilitate long-term impact of the results.Primary target groups of the project include partner country’s (China) staff members, teachers, researchers, health care professionals and bachelor level students engaging in project implementation. Secondary target groups include those groups who will use the outputs and results and continue in further development in palliative care upon the lifetime of the project.
In the past decade additive manufacturing has gained an incredible traction in the construction industry. The field of 3D concrete printing (3DCP) has advanced significantly, leading to commercially viable housing projects. The use of concrete represents a challenge because of its environmental impact and CO2 footprint. Due to its material properties, structural capacity and ability to take on complex geometries with relative ease, concrete is and will remain for the foreseeable future a key construction material. The framework required for casting concrete, in particular non-orthogonal geometries, is in itself wasteful, not reusable, contributing to its negative environmental impact. Non-standard, complex geometries generally require the use of moulds and subsystems to be produced, leading to wasteful, material-intense manufacturing processes, with high carbon footprints. This research proposal bypasses the use of wasteful scaffolding and moulds, by exploring 3D printing with concrete on reusable substructures made of sand, clay or aggregate. Optimised material depositing strategies for 3DCP will be explored, by making use of algorithmic structural optimisation. This way, material is deposited only where structurally needed, allowing for further reduction of raw-material use. This collaboration between Neutelings Riedijk Architects, Vertico and the Architectural Design and Engineering Chair of the TU Eindhoven, investigates full-scale additive manufacturing of spatially complex 3D-concrete printed components using multi-material support systems (clay, sand and aggregates). These materials can be easily shaped multiple times into substrates with complex geometries, without generating material waste. The 3D concrete printed full-scale prototypes can be used as lightweight façade elements, screens or spatial dividers. To generate waterproof components, the cavities of the extruded lattices can be filled up with lightweight clay or cement. This process allows for the exploration of new aesthetic, creative and circular possibilities, complex geometries and new material expressions in architecture and construction, while reducing raw-material use and waste.
