Puccinia striiformis f. sp. tritici (Pst), the causal fungus of wheat stripe rust, was previously reported to be infected by Lecanicillium lecanii, Microdochium nivale and Typhula idahoensis. Here, we report a novel hyperparasite on Pst. This hyperparasitic fungus was identified as Cladosporium cladosporioides (Fresen.) GA de Vries based on morphological characteristics observed by light and sc...

Traditional Deep Neural Network (DNN) security is mostly related to the well-known adversarial input example attack. Recently, another dimension of attack, namely, attack on DNN weight parameters, has been shown be very powerful. As a representative one, Bit-Flip-based Attack (BFA) injects an extremely small amount faults into parameters hijack executing function. Prior works BFA focus <italic ...

septoria tritici blotch (stb), caused by the ascomycete fungus mycosphaerella graminicola (asexual stage: septoria tritici), is one of the most important foliar diseases of wheat. in this research, quantitative expression analysis of five candidate genes for the induction of resistance to stb (pr-1, bsi, msr, per, and ppi) was conducted in the wheat cultivars ‘seri 82’ (susceptible) and ‘fronta...

Production of wheat in Ethiopia is under danger from stem rust, which brought on by the disease Puccinia graminis f.sp. tritici and has resulted a yield loss 100%. An investigation was conducted hotspot area (Debere Zeit, Ethiopia) to evaluate status Ethiopian durum cultivars for their level rust resistance field. During main seasons 2017, 2020, 2021, 34 varieties with three susceptibility chec...

In recent years, memristive crossbar-based neuromorphic computing systems (NCS) have obtained extremely high performance in neural network acceleration. However, adversarial attacks and conductance variations of memristors bring reliability challenges to NCS design. First, can fool the pose a serious threat security critical applications. On other hand, device lead degradation accuracy. this pa...

PARyOpt 1 is a Python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. especially attractive computational due to its low cost footprint as well ability account uncertainties in data. A key challenge efficiently deploy any strategy on distributed computing systems synchronization step, where data from multiple calls assimilated...