Abstract Most athletes who undergo anterior cruciate ligament (ACL) reconstruction surgery plan to return to some level of sporting activity.However, rates of return to pre-injury sport are often less than might be expected and many factors influence whether individuals return to sport after this surgery.They include surgical and rehabilitation fac
Comparative study of expandable cage with integrated plate versus non expandable cage in cervical spine corpectomies
Background: The use of expandable cages in cervical spine has gained popularity over the last decade.They have been used in dorsal spine since long but were rarely used in cervical spine due to their high cost.Now, with more insight into their mechanics, many advantages have been noted over the fixed cages along with similar efficacy and with no ad
Natural Language-Based Human–Machine Collaborative Learning Games Algorithm Based on Deep Rein-Forcement Learning
Human-machine collaborative game agents are usually in an open environment, and they typically obtain behavioral information through environmental rewards.However, traditional agent environment exploration techniques are limited in reward-sparse environments.Deep rein-forcement learning was adopted to Vacuum Filter Set design an algorithm with adve
Integrated resources planning in microgrids considering interruptible loads and shiftable loads
Abstract Demand Sets response has the potential to bring significant benefits to the optimal sizing of distributed generation (DG) resources for microgrids planning.This paper presents an integrated resources planning model considering the impact of interruptible loads (IL) and shiftable loads (SL) in microgrids, which simultaneously deals with sup