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| 1 | Characteristics of gas-solid micro fluidized beds for thermochemical reaction analysis显示文摘Fuel conversion and clean energy reaction systems involve a variety of catalytic and non-catalytic gas-solid thermochemical reactions.A good understanding of the correct reaction mechanism and kinetics,as well as the profiles of reaction products,is of great significance to the development,design,and operation of such reaction systems.The micro fluidized bed reaction analysis provides an efficient and reliable method to acquire this essential information with low capital and operating costs,low energy consumption and enhanced safety.This paper provides an overview of the system and its characteristics for the micro fluidized bed reaction analyzer that has been well proven to be a reliable new approach as well as an instrument for characterizing various gas-solid thermochemical reactions. | Zhennan Han Junrong Yue Xi Zeng Jian Yu Fang Wang Shaozeng Sun Hong Yao Guangqian Luo Xuejing Liu Yining Sun Fu Ding Liangliang Fu Lei Shi Kangjun Wang Jiebin Yang Shaonan Wang Xueqing Chen Dingrong Bai Guangwen Xu | 2020 | Carbon Resources Conversion2020，3，1： | 6 |
| 2 | Cancer-associated adipocyte-derived G-CSF promotes breast cancer malignancy via Stat3 signaling显示文摘Adipocyte is the most predominant cell type in the tumor microenvironment of breast cancer and plays a pivotal role in cancer progression,yet the underlying mechanisms and functional mediators remain elusive.We isolated primary preadipocytes from mammary fat pads of human breast cancer patients and generated mature adipocytes and cancer-associated adipocytes(CAAs)in vitro.The CAAs exhibited significantly different gene expression profiles as assessed by transcriptome sequencing.One of the highly expressed genes in CAAs is granulocyte colony-stimulating factor(G-CSF).Treatment with recombinant human G-CSF protein or stable expression of human G-CSF in triple-negative breast cancer(TNBC)cell lines enhanced epithelial–mesenchymal transition,migration,and invasion of cancer cells,by activating Stat3.Accordantly,targeting G-CSF/Stat3 signaling with G-CSF-neutralizing antibody,a chemical inhibitor,or siRNAs for Stat3 could all abrogate CAA-or G-CSF-induced migration and invasion of breast cancer cells.The pro-invasive genes MMP2 and MMP9 were identified as target genes of G-CSF in TNBC cells.Furthermore,in human breast cancer tissues,elevated G-CSF expression in adipocytes is well correlated with activated Stat3 signal in cancer cells.Together,our results suggest a novel strategy to intervene with invasive breast cancers by targeting CAA-derived G-CSF. | Li Liu Yudong Wu Cheng Zhang Chong Zhou Yining Li Yi Zeng Chunbo Zhang Rong Li Daya Luo Lieliang Wang Long Zhang Shuo Tu Huan Deng Shiwen Luo Ye-Guang Chen Xiangyang Xiong Xiaohua Yan | 2020 | Journal of Molecular Cell Biology2020，12，9： | 4 |
| 3 | KLF2 inhibits TGF-β-mediated cancer cell motility in hepatocellular carcinoma显示文摘Feedback regulation plays a pivotal role in determining the intensity and duration of TGF-p signaling and subsequently affecting the pathophysiological roles of TGF-p,including those in liver malignancy.KLF2,a member of the Kruppel-like factor(KLF)fam ily transcription factors,has been implicated in impeding hepatocellular carcinoma(HCC)development.However,the underlying molecular mechanisms are not fully understood.In the present study,we found that TGF-p stimulates the expression of KLF2 gene in several HCC cell lines.KLF2 protein is able to inhibit TGF-p/Smad signaling in HCC cells as assessed by luciferase reporter assay.Further studies indicated that KLF2 inhibits the transcriptional activity of Smad2/3 and Smad4 and ameliorates TGF-p-induced target gene expression,therefore creating a novel negative feedback loop in TGFp signaling.Functionally,stably expression of KLF2 in HCCLM3 cells attenuated TGF-卜induced cancer cell motility in wound-healing and transwell assays by interfering with TGF-p-mediated upregulation of MMP2.Together,our results revealed that KLF2 protein has a tumor-suppressive function in HCC through a negative feedback loop over TGF-p signaling. | Yining Li Shuo Tu Yi Zeng Cheng Zhang Tian Deng Weicheng Luo Lingyan Lian Ling Chen Xiangyang Xiong Xiaohua Yan | 2020 | Acta Biochimica et Biophysica Sinica2020，52，5： | 2 |
| 4 | Near-infrared quantum cutting in Eu 2+ , Yb 3+ co-doped Sr 3 Gd(PO 4 ) 3 phosphor显示文摘 | Jiayue Sun Yining Sun Junhui Zeng Haiyan Du | 2013 | Optical Materials2013，，6： | 1 |
| 5 | How does plant cell wall nanoscale architecture correlate with enzymatic digestibility 显示文摘 | Ding Shiyou Liu Yusan Zeng Yining | 2012 | Science2012，338，6110： | 1 |
| 6 | Cilostazol as an alternative to aspirin after ischaemic stroke: a randomised, double-blind, pilot study显示文摘 | Yining Huang Yan Cheng Jiang Wu Yansheng Li En Xu Zhen Hong Zhengyi Li Weiwei Zhang Meiping Ding Xuguang Gao Dongsheng Fan Jinsheng Zeng Kasing Wong Chuanzhen Lu Jiangxi Xiao Chen Yao | 2008 | Lancet Neurology2008，，6： | 1 |
| 7 | Cilostazol as an alternative to aspirin after ischaemic stroke: a randomised, double-blind, pilot study显示文摘 | Yining Huang Yan Cheng Jiang Wu Yansheng Li En Xu Zhen Hong Zhengyi Li Weiwei Zhang Meiping Ding Xuguang Gao Dongsheng Fan Jinsheng Zeng Kasing Wong Chuanzhen Lu Jiangxi Xiao Chen Yao | 2008 | Lancet Neurology2008，，6： | 1 |
| 8 | How does plant cell wall nanoscale architecture correlate with enzymatic digestibility?显示文摘 | Ding Shiyou Liu Yusan Zeng Yining Michael E Himmel John O Baker Edward A Bayer | 2012 | Science2012，338，6110： | 1 |
| 9 | Tea domain transcription factor TEAD4 mitigatesTGF-β signaling and hepatocellular carcinomaprogression independently of YAP显示文摘Tea domain transcription factor 4 (TEAD4) plays a pivotal role in tissue development and homeostasis by interacting with Yesassociated protein (YAP) in response to Hippo signaling inactivation. TEAD4 and YAP can also cooperate with transforminggrowth factor-β (TGF-β)-activated Smad proteins to regulate gene transcription. Yet, it remains unclear whether TEAD4 playsa YAP-independent role in TGF-β signaling. Here, we unveil a novel tumor suppressive function of TEAD4 in liver cancer viamitigating TGF-β signaling. Ectopic TEAD4 inhibited TGF-β-induced signal transduction, Smad transcriptional activity, and targetgene transcription, consequently suppressing hepatocellular carcinoma cell proliferation and migration in vitro and xenografttumorgrowth in mice. Consistently, depletion of endogenous TEAD4 by siRNAs enhanced TGF-β signaling in cancer cells. Mechanistically,TEAD4 associates with receptor-regulated Smads (Smad2/3) and Smad4 in the nucleus, thereby impairing the binding of Smad2/3to the histone acetyltransferase p300. Intriguingly, these negative effects of TEAD4 on TGF-β/Smad signaling are independent ofYAP, as impairing the TEAD4–YAP interaction through point mutagenesis or depletion of YAP and/or its paralog TAZ has little effect.Together, these results unravel a novel function of TEAD4 in fine tuning TGF-β signaling and liver cancer progression in a YAPindependent manner. | Weicheng Luo Yi Li Yi Zeng Yining Li Minzhang Cheng Cheng Zhang Fei Li Yiqing Wu Chunhong Huang Xiaolong Yang Joachim Kremerskothen Jianmin Zhang Chunbo Zhang Shuo Tu Zhihua Li Zhijun Luo Zhenghong Lin Xiaohua Yan | 2023 | Journal of Molecular Cell Biology2023，15，2： | 0 |
| 10 | Wind tunnel test of gust load alleviation for a large-scale full aircraft model显示文摘Wind tunnel test is an important way to test the performance of Gust Load Alleviation(GLA).At present,some component-level wind tunnel tests have been carried out in big aviation countries,but there is a lack of full aircraft model GLA tests.In this study,a set of large-scale GLA test system in low-speed wind tunnel is developed,which includes a gust generator,a five-degree-of-freedom suspension system,a full elastic aircraft model with control system,and gust load measuring devices.Two control schemes based on closed-loop feedback control and open-loop feed forward control are respectively designed and verified by the full-model GLA tests in the wind tunnel.The experimental results show that the designed gust generator can generate a stable wideband,wide-area gust wind field;the suspension support system can sustain static and dynamic stability during wind tunnel test,and enables the model moving in the horizontal,vertical,pitching,rolling and yawing directions.The results show that the closed-loop feedback control can obtain good control performance of reducing the peak values of elastic vibration response induced by gust excitation,but has little effect on suppressing the rigid body motion excited by low-frequency gust,while the open-loop feed forward control presents superior performance in allevi-ating the high-frequency elastic vibration as well as the low-frequency rigid body motion with more than 40%overall reduction rate. | Dongqiang ZHAO Zhichun YANG Xianang ZENG Jinge YU Yining GAO Guoning HUANG | 2023 | Chinese Journal of Aeronautics2023，36，4： | 0 |
| 11 | MSDA:multi-subset data aggregation scheme without trusted third party显示文摘Data aggregation has been widely researched to address the privacy concern when data is published,meanwhile,data aggregation only obtains the sum or average in an area.In reality,more fine-grained data brings more value for data consumers,such as more accurate management,dynamic price-adjusting in the grid system,etc.In this paper,a multi-subset data aggregation scheme for the smart grid is proposed without a trusted third party,in which the control center collects the number of users in different subsets,and obtains the sum of electricity consumption in each subset,meantime individual user’s data privacy is still preserved.In addition,the dynamic and flexible user management mechanism is guaranteed with the secret key negotiation process among users.The analysis shows MSDA not only protects users’privacy to resist various attacks but also achieves more functionality such as multi-subset aggregation,no reliance on any trusted third party,dynamicity.And performance evaluation demonstrates that MSDA is efficient and practical in terms of communication and computation overhead. | Zhixin ZENG Xiaodi WANG Yining LIU Liang CHANG | 2022 | Frontiers of Computer Science2022，16，1： | 0 |
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