The enteric bar drain board nervous system (ENS) continues to dazzle scientists with its ability to integrate signals, from the outside as well as from the host, to accurately regulate digestive functions.Composed of neurons and enteric glial cells, the ENS interplays with numerous neighboring cells through the reception and/or the production of se
This study utilizes machine learning and, more specifically, reinforcement learning (RL) to allow for an optimized, real-time operation of large numbers of decentral flexible assets on private household scale in the electricity domain.The potential and current obstacles of RL are demonstrated and a guide for interested practitioners is provided on
This paper addresses the displacement path-following problem for a class of disturbed cart-pendulum systems under the fake data injection (FDI) actuator attacks.A filter operator is proposed to estimate the weight vector caused by unknown attacks and disturbances, so that the actuator attacks can be bostik roll-cote parameterized using neural netwo
With the continual evolution of new strains of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) that are more virulent, transmissible, and able to evade current vaccines, there is an urgent need for effective anti-viral drugs.The SARS-CoV-2 main protease (Mpro) is a leading target for drug design due to its conserved and indispensable r