Motion control of robots is a high-dimensional, nonlinear control problem that is often difficult to handle using traditional dynamical path planning means.Reinforcement learning is currently an effective means to solve robot motion control problems, but reinforcement learning has disadvantages such as high number of trials and errors and sparse re
Abstract Introduction Cervical cancer (CC) is the most common cancer and accounts for one quarter of all cancer-related deaths among women in Uganda, where lifetime CC screening is estimated to be as low as 5%.This study will evaluate the feasibility, acceptability, and preliminary efficacy of a social network-based group intervention designed to e
Abstract Background Osteosarcoma is highly malignant.The migration, invasion, and chemoresistance contribute to poor prognosis of osteosarcoma.Research reported that endogenous bornavirus-like nucleoprotein 3 pseudogene (EBLN3P) promotes the progression of Table Lamp osteosarcoma.Methods In this study, the expression of EBLN3P in osteosarcoma tissu
Frontend supply chains CAL/MAG 2:1 involve the transfer of large quantities of products.Therefore, incomplete transfer and product loss are inevitable.This paper presents a high-efficiency group ownership transfer protocol that incorporates blockchains to enable the efficient transfer of large quantities of products and prevent disputes regarding t
Trust plays an important role in human life environments.That is why the researchers has been focusing on it for a Set of 4 Mugs long time.It allows us to delegate tasks and decisions to an appropriate person.In social sciences trust between humans was studied, but it also was analyzed in economic transactions.A lot of computer scientists from diff