ANALYSIS OF MICROSEISMICITY IN SEA ICE WITH DEEP LEARNING AND BAYESIAN INFERENCE: APPLICATION TO HIGH-RESOLUTION THICKNESS MONITORING

Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring

In the perspective of an upcoming seasonally ice-free Arctic, understanding the dynamics of sea ice in the changing climate is a major challenge in oceanography and climatology.In particular, the new generation of sea ice models will require fine parameterization of sea ice thickness and nautica kad?n cüzdan rheology.With the rapidly evolving stat

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First-episode mania after COVID-19: A case series in Iran

BackgroundIncreasing reports of manic episodes in patients during acute infection with COVID-19 have been documented since the pandemic began, including individuals without a previous personal or family history of bipolar disorder.As infections and autoimmunity have putative roles in bipolar disorder, we aimed to document the clinical presentations

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Rail Corrugation Characteristics Deduced from a Wavelet Analysis of High-Speed Train Interior Noise and Vibration

A method to deduce the characteristics of rail corrugation was developed and presented in this paper.It has been found that noise and vibration in the train vehicle were primarily contributed by rail corrugation and wheel polygonalisation.As the characteristics of wheel sets of a particular vaping walrus train can be assumed to be unchanged during

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