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| 1 | Synthesis of different-sized gold nanostars for Raman bioimaging and photothermal therapy in cancer nanotheranostics显示文摘Gold nanoparticles(AuNPs) have been attractive for nanomedicine because of their pronounced optical properties.Here,we customerized the methods to synthesize two types of gold nanostars,Au nanostars-1 and Au nanostars-2,which have different spire lengths and optical properties,and also spherical AuNPs.Compared to nanospheres,gold nanostars were less toxic to a variety of cells,including macrophages.Au nanostars-1 and Au nanostars-2 also manifested a similar pattern of tissue distribution upon in vivo administration in mice to that of nanospheres,and but reveled less liver retention than nanospheres.Due to their strong absorption in the near-infrared(NIR),Au nanostars-2 induced a strong hyperthermia effect in vitro upon excitation at 808 nm,and elicited a robust photothermal therapy(PTT) efficacy in ablating tumors in a mouse model of orthotopic breast cancer using 4T1 breast cancer cells.Meanwhile,Au nanostars-1 showed a great capability to enhance the Raman signal through surface-enhanced Raman spectroscopy(SERS) in 4T1 cells.Our combined results opened a new avenue to develop Au nanostars for cancer imaging and therapy. | Jie Gao Maria Sanchez-Purra Hao Huang ShunhaoWang Yunan Chen Xuefeng Yu Qian Luo Kimberly Hamad-Schifferli Sijin Liu | 2017 | Science China Chemistry2017，60，9： | 2 |
| 2 | LACK-OF-FIT TESTS BASED ON WEIGHTED RATIO OF RESIDUALS AND VARIANCES显示文摘这篇文章为部分线性的回归模型基于剩余和变化的加权的比率建议新 lack-of-test。建议测试的大、小的采样性质被建立。严峻的过程经由几个例子被说明。模拟研究证明严峻的过程甚至在小样品是强大的。到一个真实数据集合的测试的应用被介绍。 | Maozai TIAN Youxi LUO Yunan SU Yan FAN Junlin HAN | 2012 | Journal of Systems Science & Complexity2012，25，6： | 1 |
| 3 | Next Decade’s AI-Based Drug Development Features Tight Integration of Data and Computation显示文摘Traditional drug development heavily relies on humanderived rational and effort to detect the functional mechanisms of diseases,identify druggable targets,and design lead compounds to hit the targets.Despite our progress in understanding human diseases and the advances in biotechnology,the search for novel therapeutics remains a timeconsuming and costly process.With the recent tremendous success of artificial intelligence(AI)in various domains,AIbased drug development is poised to become a revolutionary force in the pharmaceutical sector and is expected to fundamentally change the traditional trial-and-error design process(Figure 1(a)). | Yunan Luo Jian Peng Jianzhu Ma | 2022 | Health Data Science2022，，1： | 0 |
| 4 | An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19显示文摘The global spread of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)requires an urgent need to find effective therapeutics for the treatment of coronavirus disease 2019(COVID-19).In this study,we developed an integrative drug repositioning framework,which fully takes advantage of machine learning and statistical analysis approaches to systematically integrate and mine large-scale knowledge graph,literature and transcriptome data to discover the potential drug candidates against SARS-CoV-2.Our in silico screening followed by wet-lab validation indicated that a poly-ADP-ribose polymerase 1(PARP1)inhibitor,CVL218,currently in Phase I clinical trial,may be repurposed to treat COVID-19.Our in vitro assays revealed that CVL218 can exhibit effective inhibitory activity against SARS-CoV-2 replication without obvious cytopathic effect.In addition,we showed that CVL218 can interact with the nucleocapsid(N)protein of SARS-CoV-2 and is able to suppress the LPS-induced production of several inflammatory cytokines that are highly relevant to the prevention of immunopathology induced by SARS-CoV-2 infection. | Yiyue Ge Tingzhong Tian Suling Huang Fangping Wan Jingxin Li Shuya Li Xiaoting Wang Hui Yang Lixiang Hong Nian Wu Enming Yuan Yunan Luo Lili Cheng Chengliang Hu Yipin Lei Hantao Shu Xiaolong Feng Ziyuan Jiang Yunfu Wu Ying Chi Xiling Guo Lunbiao Cui Liang Xiao Zeng Li Chunhao Yang Zehong Miao Ligong Chen Haitao Li Hainian Zeng Dan Zhao Fengcai Zhu Xiaokun Shen Jianyang Zeng | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 0 |
| 5 | Variable stiffness tuned particle dampers for vibration control of cantilever boring bars显示文摘This research proposes a novel type of variable stiffness tuned particle damper(TPD)for reducing vibrations in boring bars.The TPD integrates the developments of particle damping and dynamical vibration absorber,whose frequency tuning principle is established through an equivalent theoretical model.Based on the multiphase flow theory of gas-solid,it is effective to obtain the equivalent damping and stiffness of the particle damping.The dynamic equations of the coupled system,consisting of a boring bar with the TPD,are built by Hamilton’s principle.The vibration suppression of the TPD is assessed by calculating the amplitude responses of the boring bar both with and without the TPD by the Newmark-beta algorithm.Moreover,an improvement is proposed to the existing gas-solid flow theory,and a comparative analysis of introducing the stiffness term on the damping effect is presented.The parameters of the TPD are optimized by the genetic algorithm,and the results indicate that the optimized TPD effectively reduces the peak response of the boring bar system. | Xiangying GUO Yunan ZHU Zhong LUO Dongxing CAO Jihou YANG | 2023 | Applied Mathematics and Mechanics(English Edition)2023，44，12： | 0 |
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