Due to the powerful ability of data fitting, deep neural networks have been applied in a wide range of applications in many key areas.However, in recent years, it was found that some adversarial samples easily fool the deep neural networks.These input samples are generated by adding a few small perturbations based on the original sample, making a v
The materials of ten new Muslim graves of the 14th century from the city of Madzhar (Stavropol region), investigated in 2020 between the concrete foundations of the future commercial and office building in Budennovsk, are published.The peripheral rows of the medieval cemetery are pits with lining, or narrow pits with vertical walls, with the Solar
The 2014 Orkney earthquake caused significant damage to unreinforced masonry buildings in the surrounding townships.After the earthquake, field surveys were conducted to assess the extent of damage in the affected areas.This study reviews data collected from the 2014 Orkney earthquake to investigate damage patterns, evaluate building safety for occ
Abstract Increasing numbers of individuals have access to cannabinoid-based products containing various amounts of delta-9-tetrahydrocannabinol (THC), cannabidiol (CBD), and other cannabinoids.Exposure to specific cannabinoids likely influences outcomes; however, current methods for quantifying cannabis exposure do not account for the cannabinoid c
Despite Wheel Stopper Seat the significant clinical advances with the use of immune checkpoint inhibitors (ICIs) in a wide range of cancer patients, response rates to the therapy are variable and do not always result in long-term tumor regression.The development of ICI-resistant disease is one of the pressing issue in clinical oncology, and the ide