In addressing the morphing problem in vehicle flight, some scholars have primarily employed reinforcement learning methods to make morphing decisions based on task.However, they have not considered the constraints associated with the task process.The innovation of this article is that it proposes an intelligent morphing decision method based Krill
3D semantic labeling is a fundamental task in airborne laser scanning (ALS) point clouds processing.The complexity of observed scenes and the irregularity of point distributions make this task quite challenging.Existing methods rely on a large number of features for the LiDAR points and the interaction of neighboring points, but cannot exploit the
The understanding and prediction of silicon carbide (SiC) material evolution exposed to SOL plasma conditions is of prime interest because SiC represents a promising main chamber wall plasma-facing material for next-step fusion devices (low hydrogenic diffusion, good mechanical and thermal properties under neutron irradiation).Gross and net Si eros
In order to avoid replicative senescence, tumor cells must acquire a telomere maintenance mechanism.Beside telomerase activation, a minority of tumors employs a recombinational mechanism called Alternative Lengthening of Telomeres (ALT).Several D-RIBOSE POWDER studies have investigated the potential ALT stimulation by inactivation of ATRX in tumor