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No abstract is provided for this article.
A set of simplified expressions are derived for estimating the design fault displacement for pipelines crossing active faults by considering alternative scenarios, seismicity levels, and the pertinent uncertainties.Buried steel pipelines are an efficient and safe means of oil and gas onshore transportation and provide a direct link between extraction, processing, and consumption of fuel.Hazardous materials are transported via pipelines and consequently, any pipe failure may have devastating consequences.In case of crossing an active tectonic fault, the pipeline may be subject to significant deformations and strains threatening its integrity in the event of an earthquake.Its design hinges on a single value of the fault displacement magnitude, typically estimated as a specific "safe" percentile (e.g., 84%) from the surface displacement distribution given a "maximum" magnitude, estimated from regression models parameterized on fault characteristics.This single-scenario-based approach can lead to either conservative or unconservative designs as the actual level of safety is unknown.Instead, Probabilistic Fault Displacement Hazard Analysis (PFDHA) can provide a robust probabilistic basis to determine design values corresponding to specified return periods, at the cost of requiring extensive seismological data that may be unavailable for every single major or minor fault that a transmission or distribution pipeline crosses.Herein, logic tree aggregation is employed to cater to different levels of data completeness and provide design-level fault displacement values that incorporate all pertinent uncertainties.
No abstract is provided for this article.
The mission of the human stress system is the maintenance of homeostasis in the presence of real or perceived, acute or chronic stressors. The hypothalamic–pituitary–adrenal (HPA) axis and the autonomic nervous system (ANS) are the stress system-related neuroendocrine pathways. There is abundant evidence that children and adolescents with autism spectrum disorder (ASD) may exhibit atypical function within the HPA axis and the ANS both at the resting state and during the presence of social and/or non-social stressors. The aim of this review is to provide an up-to-date summary of the findings regarding stress system alterations in children and adolescents with ASD. We focus on the variations of stress hormones circadian rhythms, specifically cortisol and alpha-amylase (i.e., a surrogate index of epinephrine/norepinephrine secretion), and on the alterations of stress system responsivity to different stressors. Also, we present imaging and immunological findings that have been associated with stress system dysregulation in children and adolescents with ASD. Finally, we review the pivotal role of HPA axis-ANS coordination, the developmental trajectory of the stress system in ASD, and the possible role of early life stress in the dysregulation of the stress system demonstrated in children and adolescents with ASD. This synthesis will hopefully provide researchers with a foundation for an integrated approach to future research into stress system variations in children and adolescents with ASD.