This essay explores the notion of resilience by providing a theoretical context and subsequently linking it to the management of safety and security. The distinct worlds of international security, industrial safety and public security have distinct risks as well as distinct ‘core purposes and integrities’ as understood by resilience scholars. In dealing with risks one could argue there are three broad approaches: cost-benefit analysis, precaution and resilience. In order to distinguish the more recent approach of resilience, the idea of adaptation will be contrasted to mitigation. First, a general outline is provided of what resilience implies as a way to survive and thrive in the face of adversity. After that, a translation of resilience for the management of safety and security is described. LinkedIn: https://www.linkedin.com/in/juul-gooren-phd-cpp-a1180622/
BACKGROUND: Ageing is a process that is often accompanied by functional limitation, disabilities and losses. Instead of focusing on these negative events of ageing, there are opportunities in focusing on adaptation mechanisms, like resilience, that are helpful to cope with those adversities.DESIGN: Cross-sectional study.METHOD: The study was conducted from 2011-2012. First, a conceptual model of resilience during the ageing process was constructed. Next, items were formulated that made up a comprehensive template questionnaire reflecting the model. Finally, a cross-sectional study was performed to evaluate the construct validity and internal consistency of this template 16-item questionnaire.FINDINGS: Participants (N = 229) with a mean age of 71·5 years, completed the template 16-item Groningen Ageing Resilience Inventory, and performance based tests and psychological questionnaires. Exploratory factor analysis resulted in a two factor solution of internal and external resources of resilience. Three items did not discriminate well between the two factors and were deleted, remaining a final 13-item questionnaire that shows evidence of good internal consistency. The direction and magnitude of the correlations with other measures support the construct validity.CONCLUSION: The Groningen Ageing Resilience Inventory is a useful instrument that can help nurses, other healthcare workers, researchers and providers of informal care to identify the internal and external resources of resilience in individuals and groups. In a multidisciplinary biopsychosocial approach this knowledge provides tools for empowering older patients in performing health promoting behaviors and self-care tasks.
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A new viral illness called coronavirus disease 2019 (COVID-19) is currently spreading throughout the world at an alarming rate (Dong et al., 2020). As family nursing practitioners, educators, and researchers, we work from a guiding assumption that health and “illness is a family affair” (Wright & Bell, 2009, p. ix). Patients, clients, residents, and their families are inextricably connected. The science and practice of Family Nursing is based on a systemic premise offered by Wright and Leahey (2013) that serious illness and life challenges impact the family unit, and reciprocally, the functioning of the family unit (including their structure, development, and function) influences the health and well-being of each family member. This especially holds true for the current coronavirus pandemic which is creating unique hardships and suffering in an alarmingly large number of patients and their families around the world.
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
