|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Efficient elimination of multidrug-resistant bacteria using copper sulfide nanozymes anchored to graphene oxide nanosheets显示文摘Antibacterial nanomaterials have attracted growing interest for bacterial infection therapy.However,most nanomaterials eliminate bacteria either physically or chemically,which hampers their efficacy when dealing with multidrug-resistant bacteria.To overcome this,we integrated copper sulfide(CuS)nanoparticles with active graphene oxide nanosheets(GO NSs)to synthesize a superior nanocomposite(CuS/GO NC)that acts both physically and chemically on the bacteria.CuS/GO NC was produced using a facile hydrothermal method,whereby the CuS nanoparticles grew and were uniformly dispersed on the GO NSs in situ.We found that the CuS/GO NC possesses a unique needle-like morphology that physically damages the bacterial cell membrane.CuS/GO NC also exhibits high oxidase-and peroxidase-like activity,ensuring efficient generation of the reactive oxygen species•OH from H2O2,which kills bacteria chemically.These features endow the CuS/GO NC with excellent antibacterial capabilities to kill multidrug-resistant bacteria such as methicillin-resistant Staphylococcus aureus(MRSA)with only a single dose.Additionally,it was found that the CuS/GO NC accelerated the healing of infected wounds in vivo owing to its good biocompatibility as well as facilitation of cell migration and collagen secretion.This study provides a new strategy to combine the physical and chemical antibacterial modes of nanomaterials to develop more effective therapies to combat multidrug-resistant bacterial infections. | Wanshun Wang Binglin Li Huili Yang Zefeng Lin Lingling Chen Zhan Li Jiayuan Ge Tao Zhang Hong Xia Lihua Li Yao Lu | 2020 | Nano Research2020，13，8： | 8 |
| 2 | Multi-Cluster Feature Selection Based on Isometric Mapping显示文摘Dear editor,This letter presents an unsupervised feature selection method based on machine learning.Feature selection is an important component of artificial intelligence,machine learning,which can effectively solve the curse of dimensionality problem.Since most of the labeled data is expensive to obtain. | Yadi Wang Zefeng Zhang Yinghao Lin | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，3： | 2 |
| 3 | Application of fluorescence in situ hybridization in the detection of bladder transitional-cell carcinoma: A multi-center clinical study based on Chinese population显示文摘Objective:To evaluate the diagnostic value of fluorescence in situ hybridization(FISH)in bladder cancer.Methods:We enrolled healthy volunteers and patients who were clinically suspected to have bladder cancer and conducted FISH tests and cytology examinations from August 2007 to December 2008.Receiver operating characteristic(ROC)curve analysis was performed and the area under curve(AUC)values were calculated for both the FISH and urine cytology tests.Results:A cohort of 988 healthy volunteers was enrolled to establish a reference range for the normal population.A total of 4807 patients with hematuria were prospectively,randomly enrolled for the simultaneous analysis of urine cytology,FISH testing,and a final diagnosis as determined by the pathologic findings of a biopsy or a surgically-excised specimen.Overall,the sensitivity of FISH in detecting transitional-cell carcinoma was 82.7%,while that of cytology was 33.4%(p<0.001).The sensitivity values of FISH for non-muscle invasive and muscle invasive bladder transitional-cell carcinoma were 81.7%and 89.6%,respectively(p=0.004).The sensitivity values of FISH for low and high grade bladder cancer were 82.6%and 90.1%,respectively(p=0.002).Conclusion:FISH is significantly more sensitive than voided urine cytology for detecting bladder cancer in patients evaluated for gross hematuria at all cancer grades and stages.Higher sensitivity using FISH was obtained in high grade and muscle invasive tumors. | Liqun Zhou Kaiwei Yang Xuesong Li Yi Ding Dawei Mu Hanzhong Li Yong Yan Jinyi Li Dongwen Wang Wei Li Yulong Cong Jiangping Gao Kewei Ma Yajun Xiao Sheng Zhang Hongyi Jiang Weilie Hu Qiang Wei Xunbo Jin Zhichen Guan Qingyong Liu Danfeng Xu Xin Gao Yongguang Jiang Weimin Gan Guang Sun Qing Wang Yanhui Liu Jianquan Hou Liping Xie Xishuang Song Fengshuo Jin Jiafu Feng Ming Cai Zhaozhao Liang Jie Zhang Dingwei Ye Lin Qi Lulin Ma Jianzhong Shou Yuping Dai Jianyong Shao Ye Tian Shizhe Hong Tao Xu Chuize Kong Zefeng Kang Yuexin Liu Xun Qu Benkang Shi Shaobin Zheng Yi Lin Shujie Xia Dong Wei Jianbo Wu Weiling Fu Zhiping Wang Jianbo Liang | 2019 | Asian Journal of Urology2019，6，1： | 2 |
| 4 | The Effects of Increased Expression of DLK1 Gene on the Pathogenesis of Myelodysplastic Syndromes显示文摘 | Xiaotang Ma Yue Zhang Lin Yang Zefeng Xu Zhijian Xiao | 2012 | Clinical Lymphoma Myeloma and Leukemia2012，，4： | 1 |
| 5 | A review of mid-frequency vibro-acoustic modelling for highspeed train extruded aluminium panels as well as the most recent developments in hybrid modelling techniques显示文摘The present paper reviews the vibro-acoustic modelling of extruded aluminium train lloor structures including the state-of-the-art of its industrial applications,as well as the most recent developments on mid-frequency modelling techniques in general.With the common purpose to predict mid-frequency vibro-acoustic responses of stiffened panel structures to an acceptable accuracy at a reasonable computational cost,relevant techniques are mainly based on one of the following three types of mid-frequency vibroacoustic modelling principles:(1) enhanced deterministic methods,(2) enhanced statistical methods,and(3) hybrid deterministic/statistical methods.It is shown that,although recent developments have led to a significant step forward in industrial applicability,mature and adequate prediction techniques,however,are still very much required for solving sound transmission through,and radiation from,extruded aluminium panels used on high-speed trains.Due to their great potentials for predicting mid-frequency vibro-acoustics of stiffened panel structures,two of recently developed mid-frequency modelling approaches,i.e.the so-called hybrid finite element-statistical energy analysis(FE-SEA) and hybrid wave-based methodstatistical energy analysis(WBM-SEA),are then recapitulated. | Lin Ji Xiaozhen Sheng Xinbiao Xiao Zefeng Wen Xuesong Jin | 2015 | Journal of Modern Transportation2015，23，3： | 1 |
| 6 | Mapless navigation for UAVs via reinforcement learning from demonstrations显示文摘This paper is concerned with the problems of mapless navigation for unmanned aerial vehicles in the scenarios with limited sensor accuracy and computing capability.A novel learning-based algorithm called soft actor-critic from demonstrations(SACfD)is proposed,integrating reinforcement learning with imitation learning.Specifically,the maximum entropy reinforcement learning framework is introduced to enhance the exploration capability of the algorithm,upon which the paper explores a way to sufficiently leverage demonstration data to significantly accelerate the convergence rate while improving policy performance reliably.Further,the proposed algorithm enables an implementation of mapless navigation for unmanned aerial vehicles and experimental results show that it outperforms the existing algorithms. | YANG JiaNan LU ShengAo HAN MingHao LI YunPeng MA YuTing LIN ZeFeng LI HaoWei | 2023 | Science China(Technological Sciences)2023，66，5： | 0 |
| 7 | Micheliolide exerts effects in myeloproliferative neoplasms through inhibiting STAT3/5 phosphorylation via covalent binding to STAT3/5 proteins显示文摘Ruxolitinib is a cornerstone of management for some subsets of myeloproliferative neoplasms(MPNs);however,a considerable number of patients respond suboptimally.Here,we evaluated the efficacy of micheliolide(MCL),a natural guaianolide sesquiterpene lactone,alone or in combination with ruxolitinib in samples from patients with MPNs,JAK2V617F-mutated MPN cell lines,and a Jak2V617F knock-in mouse model.MCL effectively suppressed colony formation of hematopoietic progenitors in samples from patients with MPNs and inhibited cell growth and survival of MPN cell lines in vitro.Co-treatment with MCL and ruxolitinib resulted in greater inhibitory effects compared with treatment with ruxolitinib alone.Moreover,dimethylaminomicheliolide(DMAMCL),an orally available derivative of MCL,significantly increased the efficacy of ruxolitinib in reducing splenomegaly and cytokine production in Jak2V617F knock-in mice without evident effects on normal hematopoiesis.Importantly,MCL could target the Jak2V617F clone and reduce mutant allele burden in vivo.Mechanistically,MCL can form a stable covalent bond with cysteine residues of STAT3/5 to suppress their phosphorylation,thus inhibiting JAK/STAT signaling.Overall,these findings suggest that MCL is a promising drug in combination with ruxolitinib in the setting of suboptimal response to ruxolitinib. | Huijun Huang Jinqin Liu Lin Yang Yiru Yan Meng Chen Bing Li Zefeng Xu Tiejun Qin Shiqiang Qu Liang Wang Gang Huang Yue Chen Zhijian Xiao | 2023 | Blood Science2023，5，4： | 0 |
| 8 | Robust reinforcement learning with UUB guarantee for safe motion control of autonomous robots显示文摘This paper addresses the issue of safety in reinforcement learning(RL)with disturbances and its application in the safety-constrained motion control of autonomous robots.To tackle this problem,a robust Lyapunov value function(rLVF)is proposed.The rLVF is obtained by introducing a data-based LVF under the worst-case disturbance of the observed state.Using the rLVF,a uniformly ultimate boundedness criterion is established.This criterion is desired to ensure that the cost function,which serves as a safety criterion,ultimately converges to a range via the policy to be designed.Moreover,to mitigate the drastic variation of the rLVF caused by differences in states,a smoothing regularization of the rLVF is introduced.To train policies with safety guarantees under the worst disturbances of the observed states,an off-policy robust RL algorithm is proposed.The proposed algorithm is applied to motion control tasks of an autonomous vehicle and a cartpole,which involve external disturbances and variations of the model parameters,respectively.The experimental results demonstrate the effectiveness of the theoretical findings and the advantages of the proposed algorithm in terms of robustness and safety. | ZHANG RuiXian HAN YiNing SU Man LIN ZeFeng LI HaoWei ZHANG LiXian | 2024 | Science China(Technological Sciences)2024，67，1： | 0 |
| 9 | Biomimetic three-layered membranes comprising(poly)-e-caprolactone,collagen and mineralized collagen for guided bone regeneration显示文摘The distinct structural properties and osteogenic capacity are important aspects to be taken into account when developing guided bone regeneration membranes.Herein,inspired by the structure and function of natural periosteum,we designed and fabricated using electrospinning a fibrous membrane comprising(poly)-e-caprolactone(PCL),collagen-I(Col)and mineralized Col(MC).The three-layer membranes,having PCL as the outer layer,PCL/Col as the middle layer and PCL/Col/MC in different ratios(5/2.5/2.5(PCM-1);3.3/3.3/3.3(PCM-2);4/4/4(PCM-3)(%,w/w/w))as the inner layer,were produced.The physiochemical properties of the different layers were investigated and a good integration between the layers was observed.The three-layeredmembranes showed tensile properties in the range of those of natural periosteum.Moreover,the membranes exhibited excellent water absorption capability without changes of the thickness.In vitro experiments showed that the inner layer of the membranes supported attachment,proliferation,ingrowth and osteogenic differentiation of human bone marrowderived stromal cells.In particular cells cultured on PCM-2 exhibited a significantly higher expression of osteogenesis-related proteins.The three-layered membranes successfully supported new bone formation inside a critical-size cranial defect in rats,with PCM-3 being the most efficient.The membranes developed here are promising candidates for guided bone regeneration applications. | Jingjing Wu Mengyu Yao Yonggang Zhang Zefeng Lin Wenwu Zou Jiaping Li Pamela Habibovic Chang Du | 2021 | Regenerative Biomaterials2021，8，6： | 0 |
| 10 | Genetic analysis of the seed dehydration process in maize based on a logistic model显示文摘Seed moisture at harvest is a critical trait affecting maize quality and mechanized production,and is directly determined by the dehydration process after physiological maturity.However,the dynamic nature of seed dehydration leads to inaccurate evaluation of the dehydration process by conventional determination methods.Seed dry weight and fresh weight were recorded at 14 time points after pollination in a recombinant inbred line(RIL)population derived from two inbred lines with contrasting seed dehydration dynamics.The dehydration curves of RILs were determined by fitting trajectories of dry weight accumulation and dry weight/fresh weight ratio change based on a logistic model,allowing the estimation of eight characteristic parameters that can be used to describe dehydration features.Quantitative trait locus(QTL)mapping,taking these parameters as traits,was performed using multiple methods.Single-trait QTL mapping revealed 76 QTL associated with dehydration characteristic parameters,of which the phenotypic variation explained(PVE)was 1.03%to 15.24%.Multipleenvironment QTL analysis revealed 21 related QTL with PVE ranging from 4.23%to 11.83%.Multiple-trait QTL analysis revealed 58 QTL,including 51 pleiotropic QTL.Combining these mapping results revealed 12 co-located QTL and the dehydration process of RILs was divided into three patterns with clear differences in dehydration features.These results not only deepen general understanding of the genetic characteristics of seed dehydration but also suggest that this approach can efficiently identify associated genetic loci in maize. | Shuangyi Yin Jun Liu Tiantian Yang Pengcheng Li Yang Xu Huimin Fang Shuhui Xu Jie Wei Lin Xue Derong Hao Zefeng Yang Chenwu Xu | 2020 | The Crop Journal2020，8，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员