Background.The costs of anesthetic support represent a significant and essential component in the expense structure of medical services, diagnosis-related wetseat car seat covers groups (DRGs), and high-tech medical care (HMC) that involve anesthesia.Consequently, there is a need to develop a unified methodology for calculating such costs, which en
Multiple Sclerosis (MS) is a chronic autoimmune inflammatory disease of the central nervous system (CNS).Histopathological and radiological analysis revealed that neurodegeneration occurs early in the disease course.However, the pathological mechanisms involved in neurodegeneration are poorly understood.Myelin oligodendrocyte glycoprotein (MOG)-ind
Many prostate cancers relapse due to the generation of chemoresistance rendering first-line treatment drugs like paclitaxel mpu63zm/a (PTX) ineffective.The present study aims to determine the role of miRNAs and Hedgehog (Hh) pathway in chemoresistant prostate cancer and to evaluate the combination therapy using Hh inhibitor cyclopamine (CYA).Studie
Topical biological agents represent a significant advancement in the treatment of ocular surface diseases, offering a regenerative and therapeutic approach beyond conventional therapies.These agents are derived from serum (autologous 1.1x1.5 or allogeneic), platelets, amniotic membrane, and pooled intravenous immunoglobulin.Their efficacy stems fro
The on-board sensor fault detection and isolation (FDI) system is essential to guarantee the reliability and safety of an aero engine.In this paper, a novel online sequential extreme learning machine with memory principle (MOS-ELM) is proposed for detecting, isolating, and reconstructing the fault sensor signal of aero engines.In many practical onl