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Sustainability and resilience are two related but distinct theories of coupled environmental and social systems. Both have been heavily debated and contested over recent decades, and both are highly relevant for understanding, managing, and living with and within riverine landscapes. In this chapter, I summarise key concepts of sustainability and social–ecological resilience theories and discuss t
Systems with strong electronic Coulomb correlations often display rich phase diagrams exhibiting different ordered phases involving spin, charge, or orbital degrees of freedom. The theoretical description of the interplay of the corresponding collective fluctuations giving rise to this phenomenology, however, remains a tremendous challenge. Here, we introduce a multichannel extension of the recent
The underlying mechanisms of many pain conditions are not known and many conditions have no effective treatment. Modern dynamic neuroimaging has increased the understanding of altered nervous system (CNS) processing in multiple pain conditions. This chapter describes the potential and the limitations of functional neuroimaging in the evaluation and treatment of clinical pain syndromes. It consider
Climate change predictions suggest that arctic and subarctic ecosystems will be particularly affected by rising temperatures and extreme weather events, including severe heat waves. Temperature is one of the most important environmental factors controlling and regulating microbial decomposition in soils; therefore, it is critical to understand its impact on soil microorganisms and their feedback t
Increased core body temperature and dehydration are critical thermal physiological responses to heat disorders. Dehydration is preventable through adequate water intake. However, a simple heat balance equation for assessing the heatstroke risk considering the core body temperature is currently lacking. Hence, this study proposes an equation for evaluating heatstroke risk. To derive the equation, t
Background: Patients with bacteraemia caused by gram-positive bacteria are at risk for infective endocarditis (IE). Because IE needs long antibiotic treatment and sometimes heart valve surgery, it is very important to identify patients with IE. Objectives: In this narrative review we present and discuss how to determine which investigations to detect IE that are needed in individual patients with
A tool called LARCalc, for calculating the radiological consequences of accidental large scale nuclear power plant releases based on estimates of 137Cs ground deposition, is presented. LARCalc is based on a previously developed models that has been further developed and packaged into an easy-to-use decision support tool for training of decision makers. The software visualises the radiological impa
This study sheds light upon how memes about rioting in present-day Belfast are read by their audiences. As such, it answers to a distinct research gap in the meme studies literature, which has mostly shied away from in-depth engagements with audiences, favouring instead the intertwined concepts ‘imagined audience’ and the ideological ‘directionality’ of memes. Drawing on semi-structured interviews
Background: Recombination reshuffles alleles at linked loci, allowing genes to evolve independently and consequently enhancing the efficiency of selection. This makes quantifying recombination along chromosomes an important goal for understanding how selection and drift are acting on genes and chromosomes. Results: We present RecView, an interactive R application and its homonymous R package, to f
Climate change is predicted to cause milder winters and thus exacerbate soil freeze–thaw perturbations in the subarctic, recasting the environmental challenges that soil microorganisms need to endure. Historical exposure to environmental stressors can facilitate the microbial resilience to new cycles of that same stress. However, whether and how such microbial memory or stress legacy can modulate
The paper contributes to re-viewing entrepreneurial universities by expanding the understanding of the role and impact of alumni engagement in this context. Embedded in a stakeholder theory perspective, we develop and test a framework thatidentifies social, behavioural, cognitive and affective drivers of alumni engagement. We conducted statistical analyses to test hypotheses on a sample of 493 ent
Recent experimental advances have made it possible to detect individual quantum jumps in open quantum systems, such as the tunneling of single electrons in nanoscale conductors or the emission of photons from nonclassical light sources. Here, we investigate theoretically the statistics of photons emitted from a microwave cavity that is driven resonantly by an external field. We focus on the differ
Understanding high-order biexciton dynamics is important for the use of semiconductor quantum dots (QDs) in optoelectronic devices. The core–shell structure can be used to modulate biexciton dynamics by varying the shell thickness and core–shell energy band alignment. In this study, the biexciton dynamics in an unconventional case in which each QD is encapsulated by a submonolayer shell are demons
Body dysmorphic disorder (BDD) is a prevalent and impairing psychiatric condition that typically debuts in adolescence and is associated with risky behaviours. The disorder can be effectively treated with cognitive behaviour therapy (CBT). However, CBT for BDD is seldom available primarily due to a shortage of trained therapists. Internet-delivered CBT (ICBT) can be a way to increase treatment ava
This paper presents the results of an experimental campaign designed to compare and understand the performance of passive protection under exposure to standard furnace tests and natural fires. As part of this campaign, five natural fire experiments were performed with partially protected cross-laminated timber (CLT) compartments under a range of ventilation conditions. In all the tests, only one s
The transition to agile manufacturing, Industry 4.0, and high-mix-low-volume tasks require robot programming solutions that are flexible. However, most deployed robot solutions are still statically programmed and use stiff position control, which limit their usefulness. In this paper, we show how a single robot skill that utilizes knowledge representation, task planning, and automatic selection of
Whereas the validity of deductive inferences can be characterized in terms of their logical form, this is not true for all inferences that appear pre-theoretically valid. Nonetheless, philosophers have argued that at least some of those inferences—sometimes called “similarity-based inferences” —can be given a formal treatment with the help of similarity spaces, which are mathematical spaces purpor
