Objectives: The aim of this scoping review was threefold: 1. to identify existing definitions of oral frailty and similar terms in gerodontology literature; 2. to assess the oral frailty definitions and analyze whether these are well formulated on a conceptual level; and 3. in the absence of existing definitions meeting the criteria for good conceptual definitions, a new conceptual definition of oral frailty will be presented. Methods: A search was performed in electronic databases and internet search engines. Studies explaining or defining oral frailty or similar terms were of interest. A software-aided procedure was performed to screen titles and abstracts and identify definitions of oral frailty and similar terms. We used a guide to assess the quality of the oral frailty definitions on methodological, linguistic, and content-related criteria. Results: Of the 1,528 screened articles, 47 full-texts were reviewed. Thirteen of these contained seven definitions of oral frailty and ten definitions of similar terms. We found that all definitions of oral frailty contain the same or equivalent characteristics used to define the concepts of ’oral health’, ’deterioration of oral function’, and ’oral hypofunction’. Between the seven definitions, oral frailty is described with a different number and combination of characteristics, resulting in a lack of conceptual consistency. None of the definitions of oral frailty met all criteria. Conclusion: According to our analysis, the current definitions of oral frailty cannot be considered ’good’ conceptual definitions. Therefore, we proposed a new conceptual definition: Oral frailty is the age-related functional decline of orofacial structures.
Re-structuring of a Dutch mono-industrial region; example of TwenteTable of contents of the chapter Introduction Geography and location of Twente Industrialization of Twente and development of the Textile Industry Decline of the Textile Industry Restructuring Twente: arguments for a regional innovation strategy Moving towards a more diversified economy Stronger co-operation between governments, universities, and industries The role of universities and the example of ‘Kennispark Twente’ Further regional and international co-operation Twente today
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The structure and financing of collective long-term care and support in the Netherlands changed dramatically with the introduction of the Social Support Act (WMO) the 1st of January 2015. This act arranged that municipalities assist people to live in their homes for as long as possible by providing various forms of aid and support. This aid and support however, is in addition to the help that people arrange for themselves and / or receive in the form of volunteer aid (mantelzorg) by family, friends and neighbours. Furthermore under this Act people only become eligible for state financed sheltered accommodation in the exceptional case of severe physical or mental illness. The fact that under the new regime of the Social Support Act municipal support is made additional to volunteer aid, it is important to understand what role family, friends and neighbours potentially can play and in fact do play. This is especially important in regions were unbalanced population decline through out-migration of young people, effectively changes social structures and accelerates the ageing of the population. For this reason we designed a limited pilot-study to test the possibilities and the necessity of a broader study focussing on potential and every day practice concerning volunteer aid for elderly in regions characterized by unbalanced population decline. In this pilot study we will focus on a rural municipality in the north of the Netherlands: Oldambt.Within the framework of this pilot-study we focussed on living arrangements and social network of two groups of senior citizens; one group of men and women aged 65-79 and one group aged 80 years and over. Based on demographic data kindly made available by the municipal office of Oldambt, in this paper we will draw a picture of these citizens living in the municipality. Going deeper into the material and the municipality’s structure we will than focus on one of the municipality’s communities, Finsterwolde, with its village, hamlets and surrounding rural area. For the purpose of this pilot-study we constructed a sample of 30 men and women aged 80+-elderly and asked them to fill in a questionnaire. Based on the outcomes of these questionnaires we than had five in-depth interviews with some of them. Finally, on the basis of the gathered material, we will draw some general conclusions while presenting some new questions for further research into the living conditions and social support systems for elderly in a region with unbalanced population decline and accelerated ageing.
Circular BIOmass CAScade to 100% North Sea Region (NSR) economic activity and growth are mostly found in urban areas. Rural NSR regions experience population decline and negative economic growth. The BIOCAS project expects revitalizing and greening of rural areas go hand in hand. BIOCAS will develop rural areas of the NSR into smart specialized regions for integrated and local valorization of biomass. 13 Commercial running Bio-Cascade-Alliances (BCA’s) will be piloted, evaluated and actively shared in the involved regions. These proven concepts will accelerate adoption of high to low value bio-cascading technologies and businesses in rural regions. The project connects 18 regional initiatives around technologies, processes, businesses for the conversion of biomass streams. The initiatives collaborate in a thematic approach: Through engineering, value chain assessments, BCA’s building, partners tackle challenges that are shared by rural areas. I.e. unsustainable biomass use, a mineral surplus and soil degradation, deprivation of potentially valuable resources, and limited involvement of regional businesses and SMEs in existing bio-economy developments. The 18 partners are strongly embedded in regional settings, connected to many local partners. They will align stakeholders in BCA’s that would not have cooperated without BIOCAS interventions. Triple helix, science, business and governmental input will realize inclusive lasting bio cascade businesses, transforming costly waste to resources and viable business.Interreg IVB North Sea Region Programme: €378,520.00, fEC % 50.00%1/07/17 → 30/06/21
Human kind has a major impact on the state of life on Earth, mainly caused by habitat destruction, fragmentation and pollution related to agricultural land use and industrialization. Biodiversity is dominated by insects (~50%). Insects are vital for ecosystems through ecosystem engineering and controlling properties, such as soil formation and nutrient cycling, pollination, and in food webs as prey or controlling predator or parasite. Reducing insect diversity reduces resilience of ecosystems and increases risks of non-performance in soil fertility, pollination and pest suppression. Insects are under threat. Worldwide 41 % of insect species are in decline, 33% species threatened with extinction, and a co-occurring insect biomass loss of 2.5% per year. In Germany, insect biomass in natural areas surrounded by agriculture was reduced by 76% in 27 years. Nature inclusive agriculture and agri-environmental schemes aim to mitigate these kinds of effects. Protection measures need success indicators. Insects are excellent for biodiversity assessments, even with small landscape adaptations. Measuring insect biodiversity however is not easy. We aim to use new automated recognition techniques by machine learning with neural networks, to produce algorithms for fast and insightful insect diversity indexes. Biodiversity can be measured by indicative species (groups). We use three groups: 1) Carabid beetles (are top predators); 2) Moths (relation with host plants); 3) Flying insects (multiple functions in ecosystems, e.g. parasitism). The project wants to design user-friendly farmer/citizen science biodiversity measurements with machine learning, and use these in comparative research in 3 real life cases as proof of concept: 1) effects of agriculture on insects in hedgerows, 2) effects of different commercial crop production systems on insects, 3) effects of flower richness in crops and grassland on insects, all measured with natural reference situations
