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| 1 | Liensinine attenuates inflammation and oxidative stress in spleen tissue in an LPS-induced mouse sepsis model显示文摘Sepsis is a complex syndrome caused by multiple pathogens and involves multiple organ failure,particularly spleen dysfunction.In 2017,the worldwide incidence was 48.9 million sepsis cases and 1l million sepsis-related deaths were reported(Rudd et al.,2020).Inflammation,oxidative stress,and apoptosis are the most common pathologies seen in sepsis.Liensinine(LIE)is a bisbenzylisoquinoline-type alkaloid extracted from the seed embryo of Nelumbo nucifera.Lotus seed hearts have high content of LIE which mainly has antihypertensive and antiarrhythmic pharmacological effects.It can exert anti-carcinogenicactivityby regulating cell. | HANYU WANG YUANHAO YANG XIAO ZHANG YAN WANG HUI FAN JINFENG SHI XUELIAN TAN BAOSHI XU JINGCHAO QIANG ENZHUANG PAN MINGYI CHU ZIBO DONG JINGQUAN DONG | 2023 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2023，24，2： | 4 |
| 2 | Full waveform inversion based on improved MLQN method显示文摘Full waveform inversion( FWI) is a challenging data-fitting procedure between model wave field value and theoretical wave field value. The essence of FWI is an optimization problem,and therefore,it is important to study optimization method. The study is based on conventional Memoryless quasi-Newton( MLQN)method. Because the Conjugate Gradient method has ultra linear convergence,the authors propose a method by using Fletcher-Reeves( FR) conjugate gradient information to improve the search direction of the conventional MLQN method. The improved MLQN method not only includes the gradient information and model information,but also contains conjugate gradient information. And it does not increase the amount of calculation during every iterative process. Numerical experiment shows that compared with conventional MLQN method,the improved MLQN method can guarantee the computational efficiency and improve the inversion precision. | LU Xiaoman FENG Xuan LIU Cai ZHOU Chao WANG Baoshi ZHANG Minghe XU Cong | 2015 | Global Geology2015，18，4： | 0 |
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