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Agricultural land use results in multiple stressors affecting stream ecosystems. Flow reduction due to water abstraction, elevated levels of nutrients and chemical contaminants are common agricultural stressors worldwide. Concurrently, stream ecosystems are also increasingly affected by climate change. Interactions among multiple co-occurring stressors result in biological responses that cannot be

Disentangling the individual and interactive effects of multiple stressors on microbial communities is a key challenge to our understanding and management of ecosystems. Advances in molecular techniques allow studying microbial communities in situ and with high taxonomic resolution. However, the taxonomic level which provides the best trade-off between our ability to detect multiple-stressor effec

Most freshwater ecosystems are subject to multiple anthropogenic stressors, which commonly reduce biodiversity across all levels. Existing freshwater bioassessment programmes aim at identifying responses of aquatic biota to stressors. For practical reasons, higher-level taxonomic groups (e.g. genus or family) are often used in these programmes. This approach, however, may bias assessment results a

Agricultural land use commonly exerts multiple stressors on the functioning of stream ecosystems, including leaf litter decomposition and the utilization of this resource in stream food webs. If stressors interact, their cumulative effects on biotic responses cannot be predicted from knowledge of individual stressor effects, posing challenges for management and restoration of ecosystems. We examin

Streams draining agricultural land are simultaneously exposed to multiple stressors including agricultural antibiotics and effluent from surface water run-off. The potential interactive effects of these contaminants on stream benthic communities are poorly understood. Using a streamside channel experiment with a full factorial, repeated-measures design, we assessed the individual and combined effe

Lack of knowledge about how the various drivers of global climate change will interact with multiple stressors already affecting ecosystems is the basis for great uncertainty in projections of future biological change. Despite concerns about the impacts of changes in land use, eutrophication and climate warming in running waters, the interactive effects of these stressors on stream periphyton are

Pancreatic cancer (PC) is a highly fatal cancer with currently limited opportunities for early detection and effective treatment. Modifiable factors may offer pathways for primary prevention. In this study, the association between the Healthy Lifestyle Index (HLI) and PC risk was examined. Within the European Prospective Investigation into Cancer and Nutrition cohort, 1113 incident PC (57% women)

Background: The Movement Disorder Society criteria for progressive supranuclear palsy introduced the category “probable 4-repeat (4R)-tauopathy” for joint clinical diagnosis of progressive supranuclear palsy and corticobasal degeneration. Objectives: To validate the accuracy of these clinical criteria for “probable 4R-tauopathy” to predict underlying 4R-tauopathy pathology. Methods: Diagnostic acc

Critical Infrastructures (CIs) have a vital role in the functioning and development of our modern societies. To accurately understand the potential consequences of critical infrastructure disruptions, dependencies and potential cascading effects between CIs have to be considered in risk governance. As a step towards creating a system-of-systems model of Sweden’s national technical CIs, this paper

While digitalisation is a widespread technological, social and economic process, shaping markets and consumers, not all efforts to produce digitalised smart consumers are successful. The aim of this paper is to explore and explain failures in the digital agencing of consumers. Making use of the market studies literature on consumer agencing, and drawing on an ethnographic study of ethical shopping

Diabetes mellitus (DM) is a worldwide disease that affects 9% of the adult world population and type 2 DM accounts for 90% of those. A common consequence of DM is kidney complications, which could lead to kidney failure. We studied the potential effects of treatment with insulin and the glucagon-like peptide 1 receptor (GLP-1R) agonist liraglutide on the diabetic kidney proteome through the use of