Numerical studies of droplet-laden spatially developing shear layers are conducted with a high convective Mach number (Mc = 1.0), in which a high-order hybrid weighted essentially nonoscillatory scheme is used for the turbulence as well as shock capturing.The evaporating droplets are tracked as point mass in the Lagrangian manner, and the two-way c
Application of Machine Learning in Food Flavor Analysis
Flavor plays a crucial role in the sensory perception of food and is a key determinant for consumer preference and choice.Therefore, flavor analysis methods are of paramount Acrylic Display importance.Traditional methods for flavor analysis have limitations such as time-consuming and unable to handle large sample data.The emergence of machine learn
Helper NLR immune protein NRC3 evolved to evade inhibition by a cyst nematode virulence effector.
Parasites can counteract host immunity by suppressing nucleotide binding and leucine-rich repeat (NLR) proteins that function as immune receptors.We previously showed that a cyst nematode virulence effector SPRYSEC15 (SS15) binds and inhibits oligomerisation of helper NLR proteins in the expanded NRC1/2/3 clade by preventing intramolecular rearrang
Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm
Cloud computing technology enables efficient utilization of available physical resources through the virtualization where different clients share the same underlying physical hardware infrastructure.By utilizing the cloud computing concept, distributed, scalable and elastic computing resources are provided to the end-users over high speed computer