Adversarial machine learning defenses have primarily been focused on mitigating static, white-box attacks.However, it remains an open question whether such defenses are robust under an adaptive black-box adversary.In this paper, we specifically focus on the black-box threat model and make the following contributions: First we develop an enhanced ad
Purpose: Intensive military training courses are among the programs and specialties of the police force.Musculoskeletal disorders in the military are one of the vital factors that keep people away from courses and shorten their service life.This research aims to measure the prevalence of musculoskeletal injuries in newly arrived students in the pre
Non-alcoholic fatty liver disease (NAFLD) is one the fastest emerging manifestations of the metabolic syndrome worldwide.Non-alcoholic steatohepatitis (NASH), the progressive form of NAFLD, may culminate into cirrhosis and hepatocellular cancer (HCC) and is presently a leading cause Potassium of liver transplant.Although a steady progress is seen i
The aim of this study was to determine the levels of free fatty acids and carboxymethylcellulase activity (cmc-ase) activity of some protected fat-proteins base on in vitro Tilley and Terry method.Two sources of fat, i.e.crude palm oil and fish oil and three sources of protein i.e.skim milk, soybean flour and soybean meal were used in ROSEMARY COND