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49篇 您的检索式:作者名="Hongli Fan"
    题名 作者 年代 出处 被引量
1Management of cytokine release syndrome related to CAR-T cell therapy显示文摘Chimeric antigen receptor T (CAR-T) cell therapy is a novel cellular immunotherapy that is widely used to treat hematological malignancies, including acute leukemia, lymphoma, and multiple myeloma. Despite its remarkable clinical effects, this therapy has side effects that cannot be underestimated. Cytokine release syndrome (CRS) is one of the most clinically important and potentially life-threatening toxicities. This syndrome is a systemic immune storm that involves the mass cytokines releasing by activated immune cells. This phenomenon causes multisystem damages and sometimes even death. In this study, we reported the management of a patient with recurrent and refractory multiple myeloma and three patients with acute lymphocytic leukemia who suffered CRS during CAR-T treatment. The early application of tocilizumab, an anti-IL-6 receptor antibody, according to toxicity grading and clinical manifestation is recommended especially for patients who suffer continuous hyperpyrexia, hypotensive shock, acute respiratory failure, and whose CRS toxicities deteriorated rapidly. Moreover, low doses of dexamethasone (5-10 mg/day) were used for refractory CRS not responding to tocilizumab. The effective management of the toxicities associated with CRS will bring additional survival opportunities and improve the quality of life for patients with cancer.Hongli Chen Fangxia Wang Pengyu Zhang Yilin Zhang Yinxia Chen Xiaohu Fan Xingmei Cao Jie Liu Yun Yang Baiyan Wang Bo Lei Liufang Gu Ju Bai Lili Wei Ruili Zhang Qiuchuan Zhuang Wanggang Zhang Wanhong Zhao Aili He 2019Frontiers of Medicine2019,13,5:21
2Onco-miR-24 regulates cell growth and apoptosis by targeting BCL2L11 in gastric cancer显示文摘胃的癌症是世界范围的最普通的恶意之一;然而,在 tumorigenesis 的分子的机制仍然需要探索。BCL2L11 属于 BCL-2 家庭,并且充当内在的 apoptotic 串联的一个中央管理者并且调停房间 apoptosis。尽管 miRNAs 被报导了涉及癌症开发的每个阶段,在 GC 的 miR-24 的角色还没被报导。在现在的学习,当 BCL2L11 的表示在 GC 的肿瘤纸巾被禁止时, miR-24 被发现起来调整。研究从在 vitro 并且在显示出的 vivo,那 miR-24 调整 BCL2L11 表示由与 mRNA 的 3UTR 直接有约束力,因此支持房间生长,移植当禁止房间 apoptosis 时。因此, miR-24 是能是为未来的潜在的药目标的新奇 onco-miRNA 临床的使用。Haiyang Zhang Jingjing Duan Yanjun Qu Ting Deng Rui Liu Le Zhang Ming Bai Jialu Li Tao Ning Shaohua Ge Xia Wang ZhenzhenWang~ Qian Fan Hongli Li Guoguang Ying Dingzhi Huang Yi Ba 2016Protein & Cell2016,7,2:11
3Electro-mechanically controlled assembly of reconfigurable 3D mesostructures and electronic devices based on dielectric elastomer platforms显示文摘The manufacture of 3D mesostructures is receiving rapidly increasing attention,because of the fundamental significance and practical applications across wide-ranging areas.The recently developed approach of buckling-guided assembly allows deterministic formation of complex 3D mesostructures in a broad set of functional materials;with feature sizes spanning nanoscale to centimeter-scale.Previous studies mostly exploited mechanically controlled assembly platforms using elastomer substrates;which limits the capabilities to achieve on-demand local assembly;and to reshape assembled mesostructures into distinct 3D configurations.This work introduces a set of design concepts and assembly strategies to utilize dielectric elastomer actuators as powerful platforms for the electro-mechanically controlled 3D assembly.Capabilities of sequential-local loading with desired strain distributions allow access to precisely tailored 3D mesostructures that can be reshaped into distinct geometries,as demonstrated by experimental and theoretical studies of?30 examples.A reconfigurable inductive-capacitive radio-frequency circuit consisting of morphable 3D capacitors serves as an application example.Wenbo Pang Xu Cheng Haojie Zhao Xiaogang Guo Ziyao Ji Guorui Li Yiming Liang Zhaoguo Xue Honglie Song Fan Zhang Zheng Xu Lei Sang Wen Huang Tiefeng Li Yihui Zhang 2020National Science Review2020,7,2:8
4Free-standing porous carbon electrodes derived from wood for high-performance Li-O2 battery applications显示文摘Jingru Luo Xiahui Yao Lei Yang Yang Han Liao Chen Xiumei Geng Vivek Vattipalli Qi Dong Wei Fan Dunwei Wang Hongli Zhu 2017Nano Research2017,10,12:7
5Fast recognition using convolutional neural network for the coal particle density range based on images captured under multiple light sources显示文摘A method based on multiple images captured under different light sources at different incident angles was developed to recognize the coal density range in this study.The innovation is that two new images were constructed based on images captured under four single light sources.Reconstruction image 1 was constructed by fusing greyscale versions of the original images into one image,and Reconstruction image2 was constructed based on the differences between the images captured under the different light sources.Subsequently,the four original images and two reconstructed images were input into the convolutional neural network AlexNet to recognize the density range in three cases:-1.5(clean coal) and+1.5 g/cm^(3)(non-clean coal);-1.8(non-gangue) and+1.8 g/cm^(3)(gangue);-1.5(clean coal),1.5-1.8(middlings),and+1.8 g/cm^(3)(gangue).The results show the following:(1) The reconstructed images,especially Reconstruction image 2,can effectively improve the recognition accuracy for the coal density range compared with images captured under single light source.(2) The recognition accuracies for gangue and non-gangue,clean coal and non-clean coal,and clean coal,middlings,and gangue reached88.44%,86.72% and 77.08%,respectively.(3) The recognition accuracy increases as the density moves further away from the boundary density.Feiyan Bai Minqiang Fan Hongli Yang Lianping Dong 2021International Journal of Mining Science and Technology2021,31,6:4
6A Projection Pursuit Dynamic Cluster Model Based on a Memetic Algorithm显示文摘A Projection Pursuit Dynamic Cluster(PPDC) model optimized by Memetic Algorithm(MA) was proposed to solve the practical problems of nonlinearity and high dimensions of sample data, which appear in the context of evaluation or prediction in complex systems. Projection pursuit theory was used to determine the optimal projection direction; then dynamic clusters and minimal total distance within clusters(min TDc) were used to build a PPDC model. 17 agronomic traits of 19 tomato varieties were evaluated by a PPDC model. The projection direction was optimized by Simulated Annealing(SA) algorithm, Particle Swarm Optimization(PSO), and MA. A PPDC model,based on an MA, avoids the problem of parameter calibration in Projection Pursuit Cluster(PPC) models. Its final results can be output directly, making the cluster results objective and definite. The calculation results show that a PPDC model based on an MA can solve the practical difficulties of nonlinearity and high dimensionality of sample data.Hongli Zhang Cong Wang Wenhui Fan 2015Tsinghua Science and Technology2015,20,6:3
7Scientific literature addressing brain glioma in the Web of Science A 10-year bibliometric analysis显示文摘Brain glioma is a hot topic in recent years; however, brain glioma remains poorly understood. A bibliometric analysis based on the Science Citation Index (SCI) published by the Institute of Scientific Information (ISI) was performed to identify the global research and to improve the understanding of research trends in the brain glioma field from 2001 to 2010. During 2001 to 2010, there were 8 413 papers addressing brain glioma added to the SCI, and this trend is increasing annually. Of these reports, 6 945 papers are written in English. Journals published in the United States had the most papers, including ten core source titles. The Journal of Neuro-Oncology published the most articles followed by Cancer Research. Furthermore, the University of California, San Francisco, is the most productive institution for publishing articles in the brain glioma field. Finally, this study highlights the topics in brain glioma research that are being published around the world.Zaihua Xu Tao Tang Dongsheng Pan Di Fan Zhenquan Song Hongli Xue 2011Neural Regeneration Research2011,6,32:3
8A comparative investigation into floatability of bastnaesite with three di/trialkyl phosphate surfactants显示文摘Flotation separation and recovery of rare earth minerals(REM) have returned to an important position due to the growing strategy demand for rare earth elements(REE).In this paper,a comparative investigation into the floatability of bastnaesite((Ce,La)FCO3) was conducted by using three di/trialkyl phosphate collectors,di(2-ethylhexyl) phosphate(DEHPA),dibutyl phosphate(DBP) and tributyl phosphate(TBP).The density functional theory(DFT) computation recommends that the chemical activity of the three phosphate collectors is in order of DEHPA≥ DBP >> TBP,and their hydrophobization assuggested by the IgP(oil-water partition coefficient) value is in the order of DEHPA> TBP> DBP.The micro-flotation indicates that the preferable pH values for flotation of bastnaesite with the three phosphate collectors are 7.0-8.0,and DEHPA achieves much higher flotation recovery of bastnaesite,followed by DBP,and then TBP,which coincides with their reactivity and hydrophobicity,the two prerequisites for froth flotation.The contact angle,zeta potential,Fourier transform infrared spectroscopy(FTIR) and X-ray photoelectron spectroscopy(XPS) deduce that DEHPA likely reacts with the Ce(Ⅲ)atoms of bastnaesite interface through its O atom(s) of the P(=O)-O-group to generate the Ce-O-P bonds,and its two 2-ethylhexyl groups orient outside for attaching bubbles,resulting in flotation enrichment of bastnaesite.Furthermore,this investigation offers a novel strategy for developing collectors in selective beneficiation of REM.Hongli Fan Xianglin Yang Jing Qi Guangyi Liu Jingqin Qin 2021Journal of Rare Earths2021,39,11:3
9Image segmentation method for coal particle size distribution analysis显示文摘Particle size distribution is extremely important in the coal preparation industry.It is traditionally analysed by a manual screening method,which is relatively time-consuming and cannot immediately guide production.In this paper,an image segmentation method for images of coal particles is proposed.It employs the watershed algorithm,k-nearest neighbour algorithm,and convex shell method to achieve preliminary segmentation,merge small pieces with large pieces,and split adhered particles,respectively.Comparing the automated segmentation using this method with manual segmentation,it is found that the results are comparable.The size distributions obtained by the automated and manual segmentation methods are nearly identical,and the standard deviation is less than 3%,indicating good reliability.This automated image segmentation method provides a new approach for rapidly analysing the size distribution of coal particles with size fractions defined according to consumer requirements.Feiyan Bai Minqiang Fan Hongli Yang Lianping Dong 2021Particuology2021,19,3:3
10General formulas for drag coefficient and settling velocity of sphere based on theoretical law显示文摘The settlement of particles is of great importance in many areas.The accurate determination of drag coefficient and settling velocity in wide Reynolds number(Re)range remains a problem.In this paper,a series of new formulas for drag coefficient of spherical particles based on theoretical laws,such as the Stokes law,the Oseen law,and the Goldstein law,were developed and fitted using 480 groups of experimental data(Re<2 105).The results show that the 2nd approximation of a rational function containing only one parameter can describe CD–Re relationship accurately over the whole Re range of0–2 105.The new developed formulas containing five parameters show higher goodness over wide Re range than presently existing equations.The introduction of the Oseen law is helpful for improving the fitting goodness of the empirical formulas.On the basis of one of the Oseen-based CD–Re formulas giving the lowest sum of squared relative errors Q over the whole Re range(Re<2 105),a general formula for settling velocity utbased on dimensionless parameters was proposed showing high goodness.Yang Hongli Fan Minqiang Liu Airong Dong Lianping 2015International Journal of Mining Science and Technology2015,25,2:3
11A New Filter Collaborative State Transition Algorithm for Two-Objective Dynamic Reactive Power Optimization显示文摘Dynamic Reactive Power Optimization(DRPO) is a large-scale, multi-period, and strongly coupled nonlinear mixed-integer programming problem that is difficult to solve directly. First, to handle discrete variables and switching operation constraints, DRPO is formulated as a nonlinear constrained two-objective optimization problem in this paper. The first objective is to minimize the real power loss and the Total Voltage Deviations(TVDs), and the second objective is to minimize incremental system loss. Then a Filter Collaborative State Transition Algorithm(FCSTA) is presented for solving DRPO problems. Two populations corresponding to two different objectives are employed. Moreover, the filter technique is utilized to deal with constraints. Finally, the effectiveness of the proposed method is demonstrated through the results obtained for a 24-hour test on Ward & Hale 6 bus, IEEE 14 bus, and IEEE 30 bus test power systems. To substantiate the effectiveness of the proposed algorithms, the obtained results are compared with different approaches in the literature.Hongli Zhang Cong Wang Wenhui Fan 2019Tsinghua Science and Technology2019,24,1:3
12A Multicenter Application and Evaluation of the Oxford Classification of IgA Nephropathy in Adult Chinese Patients显示文摘Cai-Hong Zeng Weibo Le Zhaohui Ni Minfang Zhang Lining Miao Ping Luo Rong Wang Zhimei Lv Jianghua Chen Jiong Tian Nan Chen Xiaoxia Pan Ping Fu Zhangxue Hu Lining Wang Qiuling Fan Hongguang Zheng Dewei Zhang Yaping Wang Yanhong Huo Hongli Lin Shuni Chen Sh 2012American Journal of Kidney Diseases2012,,5:2
13Genomic and transcriptomic analysis unveils population evolution and development of pesticide resistance in fall armyworm Spodoptera frugiperda显示文摘The fall armyworm(FAW),Spodoptera frugiperda,is a destructive pest native to America and has recently become an invasive insect pest in China.Because of its rapid spread and great risks in China,understanding of FAW genetic background and pesticide resistance is urgent and essential to develop effective management strategies.Here,we assembled a chromosome-level genome of a male FAW(SFynMstLFR)and compared re-sequencing results of the populations from America,Africa,and China.Strain identification of 163 individuals collected from America,Africa and China showed that both C and R strains were found in the American pop-ulations,while only C strain was found in the Chinese and African populations.Moreover,population geno-mics analysis showed that populations from Africa and China have close relationship with significantly genetic differentiation from American populations.Taken toge-ther,FAWs invaded into China were most likely origi-nated from Africa.Comparative genomics analysis displayed that the cytochrome p450 gene family is extremely expanded to 425 members in FAW,of which 283 genes are specific to FAW.Treatments of Chinese populations with twenty-three pesticides showed the variant patterns of transcriptome profiles,and several detoxification genes such as AOX,UGT and GST spe-cially responded to the pesticides.These findings will be useful in developing effective strategies for manage-ment of FAW in China and other invaded areas.Furong Gui Tianming Lan Yue Zhao Wei Guo Yang Dong Dongming Fang Huan Liu Haimeng Li Hongli Wang Ruoshi Hao Xiaofang Cheng Yahong Li Pengcheng Yang Sunil Kumar Sahu Yaping Chen Le Cheng Shuqi He Ping Liu Guangyi Fan Haorong Lu Guohai Hu Wei Dong Bin Chen Yuan Jiang Yongwei Zhang Hanhong Xu Fei Lin Bernard Slippers Alisa Postma Matthew Jackson Birhan Addisie Abate Kassahun Tesfaye Aschalew Lemma Demie Meseret Destaw Bayeleygne Dawit Tesfaye Degefu Feng Chen Paul K.Kuria Zachary M.Kinyua Tong-Xian Liu Huanming Yang Fangneng Huang Xin Liu Jun Sheng Le Kang 2022Protein & Cell2022,13,7:2
14N/S co-doped carbon nanosheet bundles as high-capacity anode for potassium-ion battery显示文摘Potassium-ion batteries(PIBs)are of academic and economic significance,but still limited by the lack of highly active electrode materials for de-/intercalation of large-radius K ions.Herein,an interconnected nitrogen/sulfur co-doped carbon nanosheep bundle(N/S-CSB)was proposed as the potassium ions storage material.The rich co-doping of nitrogen/sulfur of N/S-CNB with three-dimensional hierarchical bundled array structure yields distensible interlayer spaces to buffer the volume expansion during K+insertion/extraction,offers more electrochemical active sites to obtain a high specific capacity,and provides efficient channels for fast ion/electron transports.Therefore,the N/S-CSB anode achieved high reversible specific capacity of 365 mAh/g obtained at 50 mA/g after 200 cycles with a coulombic efficiency(CE)close to 100%,high rate performance and long cycle stability.Moreover,the in-situ Raman spectra indicated outstanding reaction kinetics of as-prepared N/S-CSB anode.Jinhui Cao Jiang Zhong Hanjiao Xu Shengyang Li Hongli Deng Tao Wang Ling Fan Xinghui Wang Lei Wang Jian Zhu Bingan Lu Xidong Duan 2022Nano Research2022,15,3:1
15Separation perform- ance of a cyclone column separator with complicated positive and negative cones 显示文摘Dong Lianping Fan Minqiang Yang Hongli 2013International Journal of Mineral Processing2013,122,:1
16Impact of Phanerochaete chrysosporium inoculation on indigenous bacterial communities during agricultural waste composting显示文摘Jiachao Zhang Guangming Zeng Yaoning Chen Man Yu Hongli Huang Changzheng Fan Yi Zhu Hui Li Zhifeng Liu Ming Chen Min Jiang 2013Applied Microbiology and Biotechnology2013,,7:1
17Trace-Norm Regularized Multi-Task Learning for Sea State Bias Estimation显示文摘Sea state bias(SSB)is an important component of errors for the radar altimeter measurements of sea surface height(SSH).However,existing SSB estimation methods are almost all based on single-task learning(STL),where one model is built on the data from only one radar altimeter.In this paper,taking account of the data from multiple radar altimeters available,we introduced a multi-task learning method,called trace-norm regularized multi-task learning(TNR-MTL),for SSB estimation.Corresponding to each individual task,TNR-MLT involves only three parameters.Hence,it is easy to implement.More importantly,the convergence of TNR-MLT is theoretically guaranteed.Compared with the commonly used STL models,TNR-MTL can effectively utilize the shared information between data from multiple altimeters.During the training of TNR-MTL,we used the JASON-2 and JASON-3 cycle data to solve two correlated SSB estimation tasks.Then the optimal model was selected to estimate SSB on the JASON-2 and the HY-270-71 cycle intersection data.For the JSAON-2 cycle intersection data,the corrected variance(M)has been reduced by 0.60 cm^2 compared to the geophysical data records(GDR);while for the HY-2 cycle intersection data,M has been reduced by 1.30 cm^2 compared to GDR.Therefore,TNR-MTL is proved to be effective for the SSB estimation tasks.ZHONG Guoqiang QU Jianzhang WANG Haizhen LIU Benxiu JIAO Wencong FAN Zhenlin MIAO Hongli HEDJAM Rachid 2020Journal of Ocean University of China2020,19,6:1
18Separation performanceof a cyclone column separator with complicated positive andnegative cones显示文摘Dong Lianping Fan Minqiang Yang Hongli 2013International Journal of Mineral Processing2013,122,:1
19The influence of hightemperature crystallite growth and petrography of pulverized coal on combustion characteristics显示文摘Xu Xuchang Chen Qun Fan Hongli 2003Fuel2003,82,1:1
20The GPU-based high-performance pattern-matching algorithm for intrusion detection显示文摘Xu Dongliang Zhang Hongli Fan Yujian 2013Journal of Computational Information Systems 92013,2013,10:1
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