Abstract The basal heave stability of supported excavations is an essential problem in geotechnical engineering.This paper considers the probabilistic analysis of 343 basal heave stability of supported excavations with spatially random soils by employing the random adaptive finite element limit analysis and Monte Carlo simulations to simulate all p
Whilst attention has been focussed on combating priority weeds we have neglected to obtain an overall picture of our weed flora.To rectify the position a National Weed List has been compiled, the weeds have been classified and an analysis made Multiminerals of the weed flora.Aspects covered in this paper are: major taxa, exotic and indigenous speci
In the context of dynamic economic development of the Arctic, one of the strategic tasks is to ensure environmental safety and preserve the conditions and quality of life of the local population.It is possible to solve this problem by conducting environmental impact assessment (EIA) at the stage of economic activity planning, which is mandatory in
ObjectivesWe developed and tested a deep learning (DL) framework applicable to color Doppler echocardiography for automatic detection and quantification of atrial septal defects (ASDs).BackgroundColor Doppler echocardiography is the most commonly used non-invasive imaging tool for detection of ASDs.While prior studies have used DL to detect the pre