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您的检索式：作者名="Xinkai JIA"
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| 1 | Engineering white blood cell membrane-camouflaged nanocarriers for inflammation-related therapeutics显示文摘White blood cells(WBCs)play essential roles against inflammatory disorders,bacterial infections,and cancers.Inspired by nature,WBC membrane-camouflaged nanocarriers(WBC-NCs)have been developed to mimic the“dynamic”functions of WBCs,such as transendothelial migration,adhesion to injured blood vessels,etc,which make them promising for diverse medical applications.WBC-NCs inherit the cell membrane antigens of WBCs,while still exhibiting the robust inflammation-related therapeutic potential of synthetic nanocarriers with excellent(bio)physicochemical performance.This review summarizes the proposed concept of cell membrane engineering,which utilizes physical engineering,chemical modification,and biological functionalization technologies to endow the natural cell membrane with abundant functionalities.In addition,it highlights the recent progress and applications of WBC-NCs for inflammation targeting,biological neutralization,and immune modulation.Finally,the challenges and opportunities in realizing the full potential of WBC-NCs for the manipulation of inflammation-related therapeutics are discussed. | Wanli Song Pengfei Jia Yaping Ren Junmiao Xue Bingqian Zhou Xinkai Xu Yansheng Shan Jing Deng Qihui Zhou | 2023 | Bioactive Materials2023，，5： | 1 |
| 2 | A reduced order model for coupled mode cascade flutter analysis显示文摘A Reduced Order Model(ROM)based analysis method for turbomachinery cascade coupled mode flutter is presented in this paper.The unsteady aerodynamic model is established by a system identification technique combined with a set of Aerodynamic Influence Coefficients(AIC).Subsequently,the aerodynamic model is encoded into the state space and then coupled with the structural dynamic equations,resulting in a ROM of the cascade aeroelasticity.The cascade flutter can be determined by solving the eigenvalues of the ROM.Bending-torsional coupled mode flutter analysis for the Standard Configuration Eleven(SC11)cascade is used to validate the proposed method. | Huang HUANG Xinkai JIA Jia REN Bochao CAO Dingxi WANG Xiuquan HUANG | 2022 | Chinese Journal of Aeronautics2022，35，10： | 1 |
| 3 | AI-aided on-chip nucleic acid assay for smart diagnosis of infectious disease显示文摘Global pandemics such as COVID-19 have resulted in significant global social and economic disruption.Although polymerase chain reaction(PCR)is recommended as the standard test for identifying the SARS-CoV-2,conventional assays are time-consuming.In parallel,although artificial intelligence(AI)has been employed to contain the disease,the implementation of AI in PCR analytics,which may enhance the cognition of diagnostics,is quite rare.The information that the amplification curve reveals can reflect the dynamics of reactions.Here,we present a novel AI-aided on-chip approach by integrating deep learning with microfluidic paper-based analytical devices(μPADs)to detect synthetic RNA templates of the SARS-CoV-2 ORF1ab gene.TheμPADs feature a multilayer structure by which the devices are compatible with conventional PCR instruments.During analysis,real-time PCR data were synchronously fed to three unsupervised learning models with deep neural networks,including RNN,LSTM,and GRU.Of these,the GRU is found to be most effective and accurate.Based on the experimentally obtained datasets,qualitative forecasting can be made as early as 13 cycles,which significantly enhances the efficiency of the PCR tests by 67.5%(∼40 min).Also,an accurate prediction of the end-point value of PCR curves can be obtained by GRU around 20 cycles.To further improve PCR testing efficiency,we also propose AI-aided dynamic evaluation criteria for determining critical cycle numbers,which enables real-time quantitative analysis of PCR tests.The presented approach is the first to integrate AI for on-chip PCR data analysis.It is capable of forecasting the final output and the trend of qPCR in addition to the conventional end-point Cq calculation.It is also capable of fully exploring the dynamics and intrinsic features of each reaction.This work leverages methodologies from diverse disciplines to provide perspectives and insights beyond the scope of a single scientific field.It is universally applicable and can be extended to multiple areas of fundamental research. | Hao Sun Linghu Xiong Yi Huang Xinkai Chen Yongjian Yu Shaozhen Ye Hui Dong Yuan Jia Wenwei Zhang | 2022 | Fundamental Research2022，2，3： | 0 |
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