Publications by authors named "K Schroter"

Purpose: Adolescent and young adult cancer survivors (AYA-CS) face a long working life after treatment, yet factors related to a successful return to work remain largely unexplored. We therefore aimed to investigate the use of occupational adjustments and their impact on work ability upon return to work.

Methods: As part of the AYA-LE study, we surveyed AYA-CS (aged 18-39 at diagnosis) who returned to work and assessed work ability (Work Ability Index) as well as use and benefit of occupational adjustments.

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Pluvial floods are increasingly threatening urban environments worldwide due to human-induced climate change. High-resolution, state-of-the-art pluvial flood models are urgently needed to inform climate change adaptation and disaster risk reduction measures but are generally not empirically tested because of the rarity of local high-intensity precipitation events and the lack of monitoring capabilities. Volunteered Geographic Information (VGI) collected by professionals, non-professionals and citizens and made available on the internet can be used to monitor the dynamic extent of a pluvial flood during and after an extreme rain event but is sometimes considered to be unreliable.

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Risk management has reduced vulnerability to floods and droughts globally, yet their impacts are still increasing. An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data. On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced.

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Article Synopsis
  • The study introduces improved methodologies for estimating flood damage to commercial assets like buildings and machinery, aiming for better applicability across Europe.
  • One approach involves breaking down economic statistics to get precise building-level replacement cost estimates, while the other utilizes a Bayesian Network model based on post-disaster surveys from Germany, offering probabilistic predictions of losses.
  • The Bayesian Network model demonstrated strong accuracy in predicting building losses, outperformed several alternative models in real-case scenarios across Europe, and provides valuable uncertainty information that can aid decision-making.
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Unlabelled: Changes of sphingolipid metabolism were suggested to contribute to the patho-etiology of major depression (MD) and bipolar disorder (BD). In a pilot study we assessed if lipid allostasis manifested in pathological plasma concentrations of bioactive lipids i.e.

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