Samenvatting Doel Door de COVID-19-pandemie is een nieuwe groep revalidanten ontstaan waarbij voor een deel intensieve multidisciplinaire geriatrische revalidatie cruciaal lijkt te zijn. Gezien de nog beperkt beschikbare wetenschappelijke kennis en ervaring met het ziektebeeld, was er behoefte aan een praktijkgericht groeidocument en een continu cyclisch proces om praktijkkennis en nieuwe wetenschappelijke kennis direct te implementeren in de praktijk. Dit artikel beschrijft het proces van ontwikkeling, implementatie, evaluatie en doorontwikkeling daarvan in de praktijk, welke onder bijzondere omstandigheden heeft plaatsgevonden. Methode Het hele proces van de totstandkoming van het multidisciplinaire CO-FIT+ revalidatieprogramma bestond uit multipele iteraties van de PDCA-cyclus op zowel projectorganisatie-, projectuitvoerings- als implementatieniveau. Het behandeladvies post COVID-19-geriatrische revalidatie van Verenso is gebruikt als leidraad. Dit is aangevuld met de kennis en expertise van de GRZPLUS-professionals, ketenpartners, aanbevelingen vanuit de beroepsverenigingen en kennis uit wetenschappelijk onderzoek onder andere op het gebied van geriatrische (long-)revalidatie en post IC-revalidatie. Resultaten Een multidisciplinair geriatrisch revalidatieprogramma CO-FIT+ welke is geïmplementeerd in de praktijk. Dit heeft geresulteerd in een uniforme werkwijze en een continue verbetercyclus.
In the Dutch armed forces clothing sizes are determined using 3D body scans. To evaluate if the predicted size based on the scan analysis matches the best fit, 35 male soldiers fitted a combat jacket and combat pants. It was shown that the predicted jacket size was slightly too large. Therefore, an adjustment was proposed. The predicted and preferred pant size matched rather well. We further investigated discrepancies between predicted and preferred sizes using virtual fitting analysis. Colour maps showing the difference between garment and body circumference illustrated that some soldiers selected a garment size that was obviously too small or too large. In order to minimize the effect of personal preference and maximize standardize ease, we recommend to maintain the current size prediction (with minor corrections for jackets) and use virtual fitting selectively as a control measure.
Recycling of plastics plays an important role to reach a climate neutral industry. To come to a sustainable circular use of materials, it is important that recycled plastics can be used for comparable (or ugraded) applications as their original use. QuinLyte innovated a material that can reach this goal. SmartAgain® is a material that is obtained by recycling of high-barrier multilayer films and which maintains its properties after mechanical recycling. It opens the door for many applications, of which the production of a scoliosis brace is a typical example from the medical field. Scoliosis is a sideways curvature of the spine and wearing an orthopedic brace is the common non-invasive treatment to reduce the likelihood of spinal fusion surgery later. The traditional way to make such brace is inaccurate, messy, time- and money-consuming. Because of its nearly unlimited design freedom, 3D FDM-printing is regarded as the ultimate sustainable technique for producing such brace. From a materials point of view, SmartAgain® has the good fit with the mechanical property requirements of scoliosis braces. However, its fast crystallization rate often plays against the FDM-printing process, for example can cause poor layer-layer adhesion. Only when this problem is solved, a reliable brace which is strong, tough, and light weight could be printed via FDM-printing. Zuyd University of Applied Science has, in close collaboration with Maastricht University, built thorough knowledge on tuning crystallization kinetics with the temperature development during printing, resulting in printed products with improved layer-layer adhesion. Because of this knowledge and experience on developing materials for 3D printing, QuinLyte contacted Zuyd to develop a strategy for printing a wearable scoliosis brace of SmartAgain®. In the future a range of other tailor-made products can be envisioned. Thus, the project is in line with the GoChem-themes: raw materials from recycling, 3D printing and upcycling.
The primary objective of the project is to identify policies for the transformation of the Norwegian tourism sector to become resilient to climate change and carbon risks; to maintain and develop its economic benefits; and to significantly reduce its emissions-intensity per unit of economic output. Collaborative partnersStiftinga Vestlandforsking, Stiftelsen Handelshoyskolen, Stat Sentralbyra, Norges Handelshoyskole, Stiftelsen Nordlandsforskning, Fjord Norge, Hurtigruten, Neroyfjorden Verdsarvpark, Uni Waterloo, Uni Queensland, Desinasjon Voss, Stift Geirangerfjorden Verdsarv, Hogskulen Pa Vestlandet.
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.
