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| 1 | NF-κB Signaling Pathway, Inflammation and Colorectal Cancer显示文摘 | Soly Wang Zhanjie Liu Lunshan Wang Xiaoren Zhang | 2009 | Cellular & Molecular Immunology2009，6，5： | 46 |
| 2 | Identification of ExpIdentification of Expressed Resistance Gene Analogs from Peanut (Arachis hypogaea L.) Expressed Sequence Tags显示文摘Low genetic diversity makes peanut (Arachis hypogaea L.) very vulnerable to plant pathogens, causing severe yield loss and reduced seed quality. Several hundred partial genomic DNA sequences as nucleotide-binding-site leucine-rich repeat (NBS-LRR) resistance genes (R) have been identified, but a small portion with expressed transcripts has been found. We aimed to identify resistance gene analogs (RGAs) from peanut expressed sequence tags (ESTs) and to develop polymorphic markers. The protein sequences of 54 known R genes were used to identify homologs from peanut ESTs from public databases. A total of 1,053 ESTs corresponding to six different classes of known R genes were recovered, and assembled 156 contigs and 229 singletons as peanut-expressed RGAs. There were 69 that encoded for NBS-LRR proteins, 191 that encoded for protein kinases, 82 that encoded for LRR-PK/transmembrane proteins, 28 that encoded for Toxin reductases, 11 that encoded for LRR-domain containing proteins and four that encoded for TM-domain containing proteins. Twenty-eight simple sequence repeats (SSRs) were identified from 25 peanut expressed RGAs. One SSR polymorphic marker (RGA121) was identified. Two polymerase chain reaction-based markers (Ahsw-1 and Ahsw-2) developed from RGA013 were homologous to the Tomato Spotted Wilt Virus (TSWV) resistance gene. All three markers were mapped on the same linkage group AhIV. These expressed RGAs are the source for RGA-tagged marker development and identification of peanut resistance genes. | Zhanji Liu Suping Feng Manish K. Pandey Xiaoping Chen Albert K. Culbreath Rajeev K. Varshney Baozhu Guo | 2013 | Journal of Integrative Plant Biology2013，55，5： | 4 |
| 3 | A simulator with an elastic guidewire and vascular system for minimally invasive vascular surgery显示文摘Simulators play an important role in minimally invasive vascular surgery training. A challenging task for the simulator is to model an elastic guidewire and an elastic vascular system, both of which are important aspects for vascular surgery.However, many simulators treat the virtual vascular system as a rigid object, which reduces the immersion of operators. In this study, a virtual guidewire is first modeled based on Cosserat | Xiaoran CHENG Xiaoliang XIE Guibin BIAN Zengguang HOU Shiqi LIU Zhanjie GAO | 2018 | Science China(Information Sciences)2018，61，10： | 2 |
| 4 | Identification of Expressed Resistance Gene Analogs from Peanut ( Arachis hypogaea L.) Expressed Sequence Tags显示文摘 | Zhanji Liu Suping Feng Manish K. Pandey Xiaoping Chen Albert K. Culbreath Rajeev K. Varshney Baozhu Guo | 2013 | J Integr Plant Biol2013，，5： | 1 |
| 5 | Pointwise Estimate for Exponential-typeoperators显示文摘 | Xiwu Liu and Shunsheng Guo | 2002 | Southeast Asian Bulletinof Mathematics2002，24，： | 1 |
| 6 | Pointwise estimate for exponential-typeoperators显示文摘 | SONG ZHANJIE LIU XIWU GUO SHUNSHENG | 2000 | Southeast Asian Bulletin of Mathematics2000，24，： | 1 |
| 7 | Study on the coil design of the reusable linear magnetic flux compressor显示文摘 | Wang Zhanji Li Jun Liu Xinjie | 2003 | IEEE Trans on Magn2003，40，1： | 1 |
| 8 | The low temperaturepreparation of nanocrystalline MgA1204 spinel by citrate solgel process显示文摘 | Zhang Haijun Jia Xiaolin Liu Zhanjie | 2004 | Mater Lett2004，58，10： | 1 |
| 9 | Pointwise Estimate for Exponential-Type Operators显示文摘 | Zhanjie Song Xiwu Liu Shunsheng Guo | 2000 | Southeast Asian Bulletin of Mathematics2000，，3： | 1 |
| 10 | Preparation and microstructure of bauxite-based sialon by reduction nitridation显示文摘 | ZHANG Haijun LIU Zhanjie ZHONG Xiangchong | 2003 | UNITECR 2003 Proc2003，37，4： | 1 |
| 11 | Inflammatory risk stratification individualizes anti-inflammatory pharmacotherapy for acute type A aortic dissection显示文摘The systemic benefits of anti-inflammatory pharmacotherapy vary across cardiovascular diseases in clinical practice.We aimed to evaluate the application of artificial intelligence to acute type A aortic dissection(ATAAD)patients to determine the optimal target population who would benefit from urinary trypsin inhibitor use(ulinastatin).Patient characteristics at admission in the Chinese multicenter 5A study database(2016-2022)were used to develop an inflammatory risk model to predict multiple organ dysfunction syndrome(MODS). | Hong Liu Haiyang Li Lu Han Yingyuan Zhang Ying Wu Liang Hong Jinong Yang Jisheng Zhong Yuqi Wang Dongkai Wu Guoliang Fan Junquan Chen Shengqiang Zhang Xingxing Peng Zhihua Zeng Zhiwei Tang Zhanjie Lu Lizhong Sun Sichong Qian Yongfeng Shao Hongjia Zhang on behalf of the Additive Anti-inflammatory Action for Aortopathy&Arteriopathy(A)Investigators | 2023 | The Innovation2023，4，4： | 0 |
| 12 | An Improved Measurement Uncertainty Calculation Method of Profile Error for Sculptured Surfaces显示文摘The current researches mainly adopt 'Guide to the expression of uncertainty in measurement(GUM)' to calculate the profile error. However, GUM can only be applied in the linear models. The standard GUM is not appropriate to calculate the uncertainty of profile error because the mathematical model of profile error is strongly non-linear. An improved second-order GUM method(GUMM) is proposed to calculate the uncertainty. At the same time, the uncertainties in different coordinate axes directions are calculated as the measuring points uncertainties. In addition, the correlations between variables could not be ignored while calculating the uncertainty. A k-factor conversion method is proposed to calculate the converge factor due to the unknown and asymmetrical distribution of the output quantity. Subsequently, the adaptive Monte Carlo method(AMCM) is used to evaluate whether the second-order GUMM is better. Two practical examples are listed and the conclusion is drawn by comparing and discussing the second-order GUMM and AMCM. The results show that the difference between the improved second-order GUM and the AMCM is smaller than the difference between the standard GUM and the AMCM. The improved second-order GUMM is more precise in consideration of the nonlinear mathematical model of profile error. | Chenhui Liu Zhanjie Song Yicun Sang Gaiyun He | 2019 | Chinese Journal of Mechanical Engineering2019，32，6： | 0 |
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