|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Essential role of the CUL4B ubiquitin ligase in extra-embryonic tissue development during mouse embryogenesis显示文摘CUL4B ubiquitin ligase 基因的变化有原因地被连接到 syndromic X 连接智力迟钝(XLMR ) 。然而,在 neuronal 和发展缺点的 CUL4B 变化的病原的角色没被理解。我们与 Cul4b 的指向的混乱产生了老鼠,并且与显著生长抑制观察了胚胎的致命性并且在胚胎外的纸巾增加了 apoptosis。Cul4b,然而并非它的 paralog Cul4a,在胚胎外的纸巾驿站培植在高水平被表示。在一根胚胎外的房间线的 CUL4B 表示的 Silencing 导致了 CUL4 底层 p21 Cip1/WAF 和 G2/M 房间周期逮捕 Cip1/WAF 。Cul4b 的 Epiblast 特定的删除阻止了胚胎的致命性并且产生了可行 Cul4b 空老鼠。因此,当时在胚胎非必需合适, Cul4b 在胚胎外的纸巾执行一个必要发展角色。我们的学习提供策略产生可行 Cul4b 缺乏的老鼠为潜在的 neuronal 和人的 CUL4B XLMR 病人的行为的缺乏建模。 | Liren Liu Yan Yin Yuewei Li Lisa Prevedel Elizabeth H Lacy Liang Ma Pengbo Zhou | 2012 | Cell Research2012，22，8： | 6 |
| 2 | Unexpected intercalation-dominated potassium storage in WS2 as a I potassium-ion battery anode显示文摘Unexpected intercalation-dominated process is observed duri ng K^+insertion in WS2 in a voltage range of 0.01-3.0 V.This is different fromthe previously reported two-dimensional(2D)transition metal dichalcogenides that undergo a conversion reaction in a low voltage rangewhen used as anodes in potassium-ion batteries.Charge/discharge processes in the K and Na cells are studied in parallel to demonstrate thedifferention storage mechanisms.The Na^+storage proceeds through intercalation and conversion reactions while the K^+storage is governedby an intercalation reaction.Owing to the reversible K^+intercalation in the van der Waals gaps,the WS2 anode exhibits a low decay rate of 0.07%per cycle,delivering a capacity of 103 mAh·g^-1 after 100 cycles at 100 mA·g^-1.It maintains 57%capacity at 800 mA·g^-1 and shows stablecyclability up to 400 cycles at 500 mA·g^-1.Kinetics study proves the facilitation of K^+transport is derived from the intercalation-dominatedmecha nism.Furthermore,the mechanismis verified by the density functional theory(DFT)calculations,showing that the progressive expansion of the interlayer space can account for the observed results. | Vuhan Wu Yang Xu Yueliang Li Pengbo Lyu Jin Wen Chenglin Zhang Min Zhou Yaoguo Fang Huaping Zhao Ute Kaiser Yong Lei | 2019 | Nano Research2019，12，12： | 3 |
| 3 | Molecular Characterisation of the Faecal Microbiota in Patients with Type II Diabetes显示文摘 | Xiaokang Wu Chaofeng Ma Lei Han Muhammad Nawaz Fei Gao Xuyan Zhang Pengbo Yu Chang’an Zhao Lianchuan Li Aiping Zhou Juan Wang John E. Moore B. Cherie Millar Jiru Xu | 2010 | Current Microbiology2010，，1： | 2 |
| 4 | Stable and realistic crack pattern generation using a cracking node method显示文摘 | Juan ZHANG Fuqing DUAN Mingquan ZHOU Dongcan JIANG Xuesong WANG Zhongke WU Youliang HUANG Guoguang DU Shaolong LIU Pengbo ZHOU Xiangang SHANG | 2018 | Frontiers of Computer Science2018，12，4： | 1 |
| 5 | Clinical characteristics and prognostic significance of 92 cases ofpatients with primary mixed?histology lung cancer显示文摘 | Pengbo Deng Chengping Hu Lihua Zhou Yuanyuan Li Li Huang | 2013 | Molecular and Clinical Oncology2013，，5： | 1 |
| 6 | DCAFs, the Missing Link of the CUL4-DDB1 Ubiquitin Ligase显示文摘 | Jennifer Lee Pengbo Zhou | 2007 | Molecular Cell2007，，6： | 1 |
| 7 | The hPLIC Proteins May Provide a Link between the Ubiquitination Machinery and the Proteasome显示文摘 | Maurits F. Kleijnen Alan H. Shih Pengbo Zhou Sushant Kumar Raymond E. Soccio Nancy L. Kedersha Grace Gill Peter M. Howley | 2000 | Molecular Cell2000，，2： | 1 |
| 8 | Neural network and support vector machine models for the prediction of the liquefaction-induced uplift displacement of tunnels显示文摘Tunnels buried in liquefiable deposits are vulnerable to liquefaction-induced uplift damage during earthquakes.This paper presents support vector machine(SVM)and artificial neural network(ANN)models to predict the liquefaction-induced uplift displacement of tunnels based on artificial databases generated by the finite difference method.The performance of the SVM and ANN models was assessed using statistical parameters,including the coefficient of determination R^(2),the mean absolute error,and the root mean squared error.Applications for the above-mentioned approaches are compared and discussed.A relative importance analysis was adopted to quantify the sensitivity of each input variable.The precision of the presented models is demonstrated using centrifuge test results from previous studies. | Gang Zheng Wenbin Zhang Wengang Zhang Haizuo Zhou Pengbo Yang | 2021 | Underground Space2021，6，2： | 1 |
| 9 | Merlin/ NF2 Suppresses Tumorigenesis by Inhibiting the E3 Ubiquitin Ligase CRL4 DCAF1 in the Nucleus显示文摘 | Wei Li Liru You Jonathan Cooper Gaia Schiavon Angela Pepe-Caprio Lu Zhou Ryohei Ishii Marco Giovannini C. Oliver Hanemann Stephen B. Long Hediye Erdjument-Bromage Pengbo Zhou Paul Tempst Filippo G. Giancotti | 2010 | Cell2010，，4： | 1 |
| 10 | Maximizing target protein ablation by integration of RNAi and protein knockout显示文摘 | Jeffrey Hannah Pengbo Zhou | 2011 | Cell Research2011，21，7： | 1 |
| 11 | A spawning particle filter for defocused moving target detection in GNSS-based passive radar显示文摘Global Navigation Satellite System(GNSS)-based passive radar(GBPR)has been widely used in remote sensing applications.However,for moving target detection(MTD),the quadratic phase error(QPE)introduced by the non-cooperative target motion is usually difficult to be compensated,as the low power level of the GBPR echo signal renders the estimation of the Doppler rate less effective.Consequently,the moving target in GBPR image is usually defocused,which aggravates the difficulty of target detection even further.In this paper,a spawning particle filter(SPF)is proposed for defocused MTD.Firstly,the measurement model and the likelihood ratio function(LRF)of the defocused point-like target image are deduced.Then,a spawning particle set is generated for subsequent target detection,with reference to traditional particles in particle filter(PF)as their parent.After that,based on the PF estimator,the SPF algorithm and its sequential Monte Carlo(SMC)implementation are proposed with a novel amplitude estimation method to decrease the target state dimension.Finally,the effectiveness of the proposed SPF is demonstrated by numerical simulations and pre-liminary experimental results,showing that the target range and Doppler can be estimated accurately. | ZENG Hongcheng DENG Jiadong WANG Pengbo ZHOU Xinkai YANG Wei CHEN Jie | 2023 | Journal of Systems Engineering and Electronics2023，34，5： | 0 |
| 12 | Decorative Wood Fiber/High-Density Polyethylene Composite with Canvas or Polyester Fabric显示文摘Wood-plastic composite is an environmentally friendly material,due to its use of recycled thermoplastics and plant fibers.However,its surface lacks attractive aesthetic qualities.In this paper,a method of decorating wood fiber/high-density polyethylene(WF/HDPE)without adding adhesive was explored.Canvas or polyester fabrics were selected as the surface decoration materials.The influence of hot-pressing temperature and WF/HDPE ratio on the adhesion was studied.The surface bonding strength,water resistance,and surface color were evaluated,and observation within the infrared spectrum and under scanning electron microscopy was used to analyze the bonding process.The results showed that the fabric and WF/HDPE substrate could be closely laminated together depending on the HDPE layer accumulated on the WF/HDPE surface.The molten HDPE matrix penetrates canvas more easily than polyester fabric,and the canvasveneered composite shows a greater bonding strength than does the polyester fabric-veneered composite.A higher proportion of the thermoplastic component in the substrate improved the bonding.When the hot-pressing temperature exceeded 160°C,the fabric-veneered WF/HDPE panels had greater water resistance,although the canvas fabric changed more obviously in terms of fiber shape and color,compared with the polyester fabric.For the canvas fabric,140°C–160°C was a suitable hot-pressing temperature,whereas 160°C–180°C was more suitable for polyester fabric.The proportion of the thermoplastic component in the composite should be not less than 30%to achieve adequate bonding strength. | Jialin Lv Rao Fu Yinan Liu Xuelian Zhou Weihong Wang Pengbo Xie Tingwei Hu | 2020 | Journal of Renewable Materials2020，8，8： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员