Zobrazeno 1 - 10
of 634
pro vyhledávání: '"Jiansheng, Liu"'
Autor:
Hongyu Chen, Junbin Wang, Kaiyun Ding, Jingwen Xu, Yun Yang, Cong Tang, Yanan Zhou, Wenhai Yu, Haixuan Wang, Qing Huang, Bai Li, Dexuan Kuang, Daoju Wu, Zhiwu Luo, Jiahong Gao, Yuan Zhao, Jiansheng Liu, Xiaozhong Peng, Shuaiyao Lu, Hongqi Liu
Publikováno v:
Gut Microbes, Vol 16, Iss 1 (2024)
ABSTRACTGastrointestinal (GI) infection is evidenced with involvement in COVID-19 pathogenesis caused by SARS-CoV-2. However, the correlation between GI microbiota and the distinct pathogenicity of SARS-CoV-2 Proto and its emerging variants remains u
Externí odkaz:
https://doaj.org/article/bd3658f1874b42aabd6aca2b2b53933e
Publikováno v:
Advanced Science, Vol 11, Iss 39, Pp n/a-n/a (2024)
Abstract Glioblastoma (GBM) is one of the deadliest primary brain tumors, but its diagnosis and curative therapy still remain a big challenge. Herein, neutrophil‐targeting semiconducting polymer nanotheranostics (SSPNiNO) is reported for second nea
Externí odkaz:
https://doaj.org/article/4cd29925142448a6a742f6372ab832cb
Publikováno v:
Materials & Design, Vol 246, Iss , Pp 113338- (2024)
Metallic bipolar plates (BPPs) manufactured by stamping have great commercialization prospects in proton exchange membrane fuel cells (PEMFCs) owing to their significant advantages of low density, small volume, high mechanical strength, and low cost.
Externí odkaz:
https://doaj.org/article/d0a99e41fb5742b89fbcd5898440389a
Autor:
Shuang Wang, Pinjiao Jin, Yanyan Zheng, Wang Kangkang, Jiaxin Chen, Jiansheng Liu, Yonggang Li
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
IntroductionMaize stalk rot (MSR), caused by Fusarium graminearum, is the most serious soil borne disease in maize production, seriously affecting maize yield and quality worldwide. Microbial biocontrol agents are the best means of controlling MSR an
Externí odkaz:
https://doaj.org/article/1ef6f9d8ed0e4f0683c94a634edfc1f8
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6009-6030 (2024)
Abstract Many surrogate-assisted evolutionary algorithms (SAEAs) have been shown excellent search performance in solving expensive constrained optimization problems (ECOPs) with continuous variables, but few of them focus on ECOPs with mixed-integer
Externí odkaz:
https://doaj.org/article/0aa097058a7d4271abdb2442acadcf0f
Autor:
Zhongtao Xiang, Changhai Yu, Zhiyong Qin, Xuhui Jiao, Jiahui Cheng, Qiaoxuan Zhou, Gatie Axi, Jianghua Jie, Ya Huang, Jintan Cai, Jiansheng Liu
Publikováno v:
Matter and Radiation at Extremes, Vol 9, Iss 3, Pp 035201-035201-7 (2024)
We propose an efficient scheme to produce ultrahigh-brightness tens of MeV electron beams by designing a density-tailored plasma to induce a wakefield in the weakly nonlinear regime with a moderate laser energy of 120 mJ. In this scheme, the second b
Externí odkaz:
https://doaj.org/article/1b539bb05b3f41e6b92b66fbf2282fbb
Autor:
Maoyuan Su, Yumin Chen, Qian Li, Yang Wei, Jiansheng Liu, Zhengwei Chang, Xueyuan Liu, Anan Zhang
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Temperature compensation is the main measure to solve the problem that the detection accuracy of non-dispersive infrared CO2 gas sensor is affected by temperature. As the measurement accuracy of the non-dispersive infrared CO2 gas sensor is easily af
Externí odkaz:
https://doaj.org/article/6a3a2d8e86d74ca6a0a8706f9631aeaf
Autor:
Jiansheng Liu, Jiajia Li, Yanhui Shi, Anni Zhu, Mengbin Ding, Ningyue Yu, Yongkang Liu, Ping Wang, Jingchao Li, Yu Liu
Publikováno v:
Small Structures, Vol 5, Iss 5, Pp n/a-n/a (2024)
Laser interstitial thermal therapy (LITT), which ablates diseased brain tissues via hyperthermia, has offered novel treatment approach for epilepsy; however, the current LITT protocols still lack ablation selectivity and disease‐modifying efficacy.
Externí odkaz:
https://doaj.org/article/1f26ac64125744d7bf513aad588633d8
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0301839 (2024)
Traditional optical flame detectors (OFDs) in flame detection are susceptible to environmental interference, which will inevitably cause detection errors and miscalculations when confronted with a complex environment. The conventional deep learning-b
Externí odkaz:
https://doaj.org/article/06bf41f35af449dba8f7d7f8c16860f0
Publikováno v:
Advanced Materials Interfaces, Vol 10, Iss 34, Pp n/a-n/a (2023)
Externí odkaz:
https://doaj.org/article/68bb6e8546904d8185e8f0a900ec4df0