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您的检索式：作者名="QINGHUI DENG"
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| 1 | Low-latency deep-reinforcement learning algorithm for ultrafast fiber lasers显示文摘The application of machine learning to the field of ultrafast photonics is becoming more and more extensive.In this paper,for the automatic mode-locked operation in a saturable absorber-based ultrafast fiber laser(UFL),a deep-reinforcement learning algorithm with low latency is proposed and implemented.The algorithm contains two actor neural networks providing strategies to modify the intracavity lasing polarization state and two critic neural networks evaluating the effect of the actor networks.With this algorithm,a stable fundamental modelocked(FML)state of the UFL is demonstrated.To guarantee its effectiveness and robustness,two experiments are put forward.As for effectiveness,one experiment verifies the performance of the trained network model by applying it to recover the mode-locked state with environmental vibrations,which mimics the condition that the UFL loses the mode-locked state quickly.As for robustness,the other experiment,at first,builds a database with UFL at different temperatures.It then trains the model and tests its performance.The results show that the average mode-locked recovery time of the trained network model is 1.948 s.As far as we know,it is 62.8%of the fastest average mode-locked recovery time in the existing work.At different temperatures,the trained network model can also recover the mode-locked state of the UFL in a short time.Remote algorithm training and automatic mode-locked control are proved in this work,laying the foundation for long-distance maintenance and centralized control of UFLs. | QIUQUAN YAN QINGHUI DENG JUN ZHANG YING ZHU KE YIN TENG LI DAN WU TIAN JIANG | 2021 | Photonics Research2021，9，8： | 7 |
| 2 | Comparison of high‐protein soybean meal and commercial soybean meal partly replacing fish meal on the activities of digestive enzymes and aminotransferases in juvenile Japanese seabass, Lateolabrax japonicus (Cuvier, 1828)显示文摘 | Yan Li Qinghui Ai Kangsen Mai Wei Xu Junming Deng Zhenyan Cheng | 2014 | Aquac Res2014，，6： | 1 |
| 3 | Effects of replacing fish meal with soy protein concentrate on feed intake and growth of juvenile Japanese flounder, Paralichthys olivaceus显示文摘 | Junming Deng Kangsen Mai Qinghui Ai Wenbing Zhang Xiaojie Wang Wei Xu Zhiguo Liufu | 2006 | Aquaculture2006，，1： | 1 |
| 4 | Discovery of Kaempferol,a Novel ADAM10 Inhibitor,as a Potential Treatment for Staphylococcus aureus Infection显示文摘Host-directed therapy(HDT)is an emerging novel approach for treating multidrug-resistant Staphylococcus aureus(S.aureus)infection.Functioning as the indispensable specific cellular receptor for a-toxin(Hla),a-disintegrin and metalloproteinase 10(ADAM10)is exploited to accelerate S.aureus infection through diverse mechanisms.The extraordinary contribution of ADAM10 to S.aureus pathogenesis renders it an attractive HDT target for combating S.aureus infection.Our study is the first to demonstrate the indispensable role of ADAM10 in S.aureus-induced necroptosis,and it enhances our knowledge of the role of ADAM10 in S.aureus infection.Using a fluorogenic substrate assay,we further identified kaempferol as a potent ADAM10 inhibitor that effectively protected mice from S.aureus infection by suppressing Hla-mediated barrier disruption and necroptosis.Collectively,our work presents a novel hostdirected therapeutic strategy for using the promising candidate kaempferol to treat S.aureus infection and other diseases relevant to the disordered upregulation of ADAM10. | Tingting Wang Jianfeng Wang Xiangzhu Xu Fan Jiang Hongfa Lv Qinghui Qi Can Zhang Qianghua Lv Xuming Deng | 2023 | Engineering2023，，9： | 0 |
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