Long-term performance and biofilms of the novel nano manganese dioxide coupling carbon source pre-loaded biological activated carbon filters for drinking water.

In order to accelerate the start-up of biological activated carbon (BAC) filters and enhance ammonium (NH-N) removal performance, three substrates (sucrose and/or nano manganese dioxide (nMnO)) pre-loaded BAC filters were set up to investigate the pollutants removals and microbiological characteristics for a long-term operation of 197 days. The average NH-N removal performance treated by the sucrose coupled with nMnO loaded BAC filter was the highest (71.18 %), which was 3.

Exploring the degree of nicotine dependence and willingness to quit smoking in Chinese smoking patients with stroke: A cross-sectional survey.

Smoking is closely related to the occurrence of stroke. The degree of nicotine dependence and willingness to quit smoking are key factors that determine whether a smoker can successfully quit smoking. Few studies have been conducted on factors affecting the willingness to quit smoking among smokers who suffered from stroke.

TUSC8 enhances cisplatin sensitivity of NSCLC cells through regulating VEGFA.

Purpose: We aimed at studying LncRNA TUSC8 expression in non-small cell lung cancer (NSCLC) cells and its sensitivity to cisplatin chemotherapy, and explore its role in the occurrence, development and treatment of NSCLC.

Methods: NSCLC tissues and adjacent normal ones were randomly selected from 45 patients in our hospital who were pathologically diagnosed as NSCLC. Then H358 and H1299 cells were treated with cisplatin at different concentrations (0 μM, 2 μM, 4 μM, 8 μM, 16 μM) for 24 hours.

End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm.

Changing lanes while driving requires coordinating the lateral and longitudinal controls of a vehicle, considering its running state and the surrounding environment. Although the existing rule-based automated lane-changing method is simple, it is unsuitable for unpredictable scenarios encountered in practice. Therefore, using a deep deterministic policy gradient (DDPG) algorithm, we propose an end-to-end method for automated lane changing based on lidar data.