Opioids comprise an important group of drugs used in cancer pain pharmacotherapy.In recent years, more and more studies have emerged indicating the potentially immunosuppressive effects of opioid analgesics and their serious consequences, including the risk of cancer progression.The identification of these risks has prompted a search for other effe
The sensing coverage and accuracy of vehicles are vital for autonomous driving.However, the current sensing capability of a single autonomous vehicle is quite limited in the complicated road traffic environment, which leads to many sensing dead zones or frequent misdetection.In this paper, we propose to develop a Vehicular Fog Computing (VFC) archi
We compared the transmission performances of 600 Gbit/s PM-64QAM WDM signals over 75.6 km of single-mode fibre (SMF) using EDFA, discrete Raman, hybrid Raman/EDFA, and first-order or second-order (dual-order) distributed Raman amplifiers.Our numerical simulations and experimental results showed that the simple first-order distributed Raman scheme w
Research on data-driven fault diagnosis methods has received much attention in recent years.The deep belief network (DBN) is a commonly used deep learning method for fault diagnosis.In the past, when people used DBN to diagnose gear pitting faults, it was found that the WILD ROSE diagnosis result was not good with continuous time domain vibration s