Adaptive control of finite-state Markov chains is discussed, The optimal performance is characterized through the minimization of a long-run average cost functional, subject to constraints on several ...

Objectives This study analyses the cost-effectiveness of annual low-dose CT (LDCT) screening of high-risk cancer populations in Chinese urban areas. Design We used a Markov model to evaluate LDCT ...

K-Ras4B, the most frequently mutated Ras isoform in human tumors, plays a vital part in cell growth, differentiation, and survival. Its tail, the C-terminal hypervariable region (HVR), is involved in ...

Global automakers joined their U.S. counterparts to complain that restrictions by China on exports of rare earth alloys, mixtures and magnets could cause production delays and outages without a ...

Ex-McDonald's chef Mike Haracz took to TikTok to reveal the secret behind the chain's burger seasoning that's found on fan-favorite items, like the Big Mac ...

Market Basket's board says it has placed CEO Arthur T. Demoulas on leave, citing allegations that he was planning a work stoppage among employees at the family-controlled supermarket chain. One of the ...

GenAI harnesses the latent potential of traditional AI. Let’s look at how it does so and whether its applicability in supply chain management is hyped or real.

Implementing different learning algorithms and analyzing their performance in a Markov game model called the Soccer Game. reinforcement-learning q-learning game-theory nash-equilibrium soccer-game ...

Specifically, the convergence time of our algorithm (equivalently, the mixing time of our Markov chain) is proportional to the diameter of the network graph and hence optimal. As a byproduct, our ...