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| 1 | Transcriptional Repression by Histone Deacetylases in Plants显示文摘在 histone 尾巴的 N 终点的可逆 histone acetylation 和 deacetylation 在 eukaryoticgene 活动的规定起关键作用。核心 histones 的 Acetylation 通常导致开的染色质结构并且与基因激活被联系,而 histone 的 deacetylation 经常与关上的染色质和基因压抑被相关。由 histone deacetylases (HDAC ) 的 Histone deacetylation iscatalyzed。越来越多的研究在植物表明了 histone deacetylation/acetylationon 染色体稳定性, transcriptional 规定,和开发的重要性。而且, HDAC 被显示交往在多重 developmentalprocesses 涉及 transcriptional 压抑的 withvarious 染色质 remolding 因素和抄写因素。在这评论,我们在 transcriptional 压抑上总结了最近的调查结果在 plants.Key 词由 HDAC 调停了: | Xuncheng Liua Songguang Yang Minglei Zhaoa Ming Luo Chun-Wei Yu Chia-Yang Chen Ready Tai Keqiang Wu | 2014 | Molecular Plant2014，7，5： | 16 |
| 2 | 超级贝氏体钢中贝氏体转变的一种新的定量分析方法显示文摘用高温激光扫描共聚焦显微镜原位观察超级贝氏体钢中贝氏体的形核和生长。直接观察贝氏体转过程的形貌。而且做贝氏体转变的热模拟试验,用膨胀测量法记录。贝氏体钢的贝氏体转变过程在热机械拟器上用激光扫描共聚焦显微镜和膨胀测量法组合的新方法进行定量分析。 | Guang Xu Feng Liua Li Wang Haijiang Hu | 2013 | 热处理技术与装备2013，34，4： | 14 |
| 3 | The clinicopathological and prognostic significance of PD-L1 expression in pancreatic cancer:A meta-analysis显示文摘Background: Immunotherapy has shown promise against solid tumors. However, the clinical significance of programmed cell death 1(PD-1) and programmed cell death ligand 1(PD-L1) in pancreatic ductal adenocarcinoma(PDAC) remains unclear. This meta-analysis aimed to analyze the prognostic effect of PD-L1 in PDAC.Data sources: Electronic search of the Pub Med, Cochrane Library and Web of Science was performed until December 2016. Through database searches, we identified articles describing the relationship between PD-L1 status and PDAC patient prognosis. Meta-analysis was performed to investigate the relationship between PD-1 and overall survival(OS).Results: Nine studies with 989 PDAC patients were included for PD-L1 expression analysis. And 5 studies with 688 PDAC patients were included in the prognostic analysis. The PD-L1 positive rate measured by immunohistochemistry(IHC) was higher than that measured by polymerase chain reaction(PCR)(P < 0.001). PDAC patients with high expression levels of PD-L1 had significantly reduced OS(HR = 2.34;95% CI: 1.78–3.08). Subgroup analysis showed that the prognostic effect of PD-L1 levels was similar between the IHC and PCR methods. The PD-L1 positive rate was associated with PDAC T stages; the PD-L1 positive rate in the T3–4 group was higher than that in the T1-2 group(OR = 0.37; P = 0.001).Conclusions: High PD-L1 expression levels predicted a poor prognosis in PDAC patients. Thus, PD-L1 status helps determine treatment in PDAC patients. | He-Li Gaoa Liang Liua Zi-Hao Qi Hua-Xiang Xu Wen-Quan Wang Chun-Tao Wu Shi-Rong Zhang Jin-Zhi Xu Quan-Xing Ni Xian-Jun Yua | 2018 | Hepatobiliary & Pancreatic Diseases International2018，17，2： | 13 |
| 4 | Effect of corrosive media on galvanic corrosion of complicated tri-metallic couples of 2024 Al alloy/Q235 mild steel/304 stainless steel显示文摘Galvanic corrosion of tri-metallic couples is more complicated than that of bi-metallic couples. In this study, the effect of the pH of corrosive media on the galvanic corrosion of 2024 A1 alloy/Q235 mild steel/304 stainless steel tri-metallic couples was investigated using potentiodynamic polarization, scanning electron microscopy, scanning vibrating electrode technique and a multi-channel galvanic corrosion meter. The results show that 2024 always acts as the only anode in 3.5 wt% NaCl at pH 5.56,9.72 and 12.0, while both Q235 and 2024 act as anodes at pH 2.39 in the initial stage and then the role of Q235 changes at longer coupling time, which can be attributed to the effect of pH on the surface film of 2024. It is also found that the galvanic current density of a tri-metallic couple is the superposition of two bi-metallic couples when cathodic reactions are controlled by the diffusion of oxygen, otherwise it is smaller than that of the sum of two bi-metallic couples. The localized corrosion instead of uniform corrosion of anodic metal is accelerated by galvanic corrosion. | Linjun Shi Xiuying Yang Yingwei Song Dan Liua Kaihui Dong Dayong Shan En-Hou Han | 2019 | Journal of Materials Science & Technology2019，35，9： | 8 |
| 5 | Preliminary evaluation of the long-term GLASS albedo product显示文摘Land surface albedo is an important parameter to describe the radiant forcing in the climate system.A long-time series of global albedo products is needed to understand the mechanism of climate change.Aiming to support global change and Earth system studies,GLASS(Global LAnd Surface Satellites)provides long-term global land surface albedo product from 1981 to 2010,which are generated from multisource remote sensing data and newly developed algorithms.It is critical to assess the quality of the GLASS product when it is released to the public.This paper first introduced the algorithms and then analyzed the integrity,accuracy,and robustness of the GLASS albedo product.The results show that the GLASS albedo product is a gapless,long-term continuous,and self-consistent data-set with an accuracy similar to that of the widely acknowledged MODIS MCD43 product.The quality flag,which is provided along with the black-sky and white-sky albedo,gives a pertinent indication of the expected uncertainty in the product. | Qiang Liua Lizhao Wang Ying Qu Nanfeng Liu Suhong Liu Hairong Tang Shunlin Liang | 2013 | International Journal of Digital Earth2013，6，S01： | 7 |
| 6 | Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer显示文摘Objective: By optimizing the extreme learning machine network with particle swarm optimization, we established a syndrome classification and prediction model for primary liver cancer(PLC), classified and predicted the syndrome diagnosis of medical record data for PLC and compared and analyzed the prediction results with different algorithms and the clinical diagnosis results. This paper provides modern technical support for clinical diagnosis and treatment, and improves the objectivity, accuracy and rigor of the classification of traditional Chinese medicine(TCM) syndromes.Methods: From three top-level TCM hospitals in Nanchang, 10,602 electronic medical records from patients with PLC were collected, dating from January 2009 to May 2020. We removed the electronic medical records of 542 cases of syndromes and adopted the cross-validation method in the remaining10,060 electronic medical records, which were randomly divided into a training set and a test set.Based on fuzzy mathematics theory, we quantified the syndrome-related factors of TCM symptoms and signs, and information from the TCM four diagnostic methods. Next, using an extreme learning machine network with particle swarm optimization, we constructed a neural network syndrome classification and prediction model that used 'TCM symptoms + signs + tongue diagnosis information + pulse diagnosis information' as input, and PLC syndrome as output. This approach was used to mine the nonlinear relationship between clinical data in electronic medical records and different syndrome types. The accuracy rate of classification was used to compare this model to other machine learning classification models.Results: The classification accuracy rate of the model developed here was 86.26%. The classification accuracy rates of models using support vector machine and Bayesian networks were 82.79% and 85.84%,respectively. The classification accuracy rates of the models for all syndromes in this paper were between82.15% and 93.82%.Conclusion: Compared with the case of data processed using traditional binary inputs, the experiment shows that the medical record data processed by fuzzy mathematics was more accurate, and closer to clinical findings. In addition, the model developed here was more refined, more accurate, and quicker than other classification models. This model provides reliable diagnosis for clinical treatment of PLC and a method to study of the rules of syndrome differentiation and treatment in TCM. | Liang Ding Xin-you Zhang Di-yao Wu Meng-ling Liua | 2021 | Journal of Integrative Medicine2021，19，5： | 5 |
| 7 | Rock thin-section analysis and identification based on artificial intelligent technique显示文摘Rock thin-section identification is an indispensable geological exploration tool for understanding and recognizing the composition of the earth.It is also an important evaluation method for oil and gas exploration and development.It can be used to identify the petrological characteristics of reservoirs,determine the type of diagenesis,and distinguish the characteristics of reservoir space and pore structure.It is necessary to understand the physical properties and sedimentary environment of the reservoir,obtain the relevant parameters of the reservoir,formulate the oil and gas development plan,and reserve calculation.The traditional thin-section identification method has a history of more than one hundred years,which mainly depends on the geological experts'visual observation with the optical microscope,and is bothered by the problems of strong subjectivity,high dependence on experience,heavy workload,long identification cycle,and incapability to achieve complete and accurate quantification.In this paper,the models of particle segmentation,mineralogy identification,and pore type intelligent identification are constructed by using deep learning,computer vision,and other technologies,and the intelligent thinsection identification is realized.This paper overcomes the problem of multi-target recognition in the image sequence,constructs a fine-grained classification network under the multi-mode and multi-light source,and proposes a modeling scheme of data annotation while building models,forming a scientific,quantitative and efficient slice identification method.The experimental results and practical application results show that the thin-section intelligent identification technology proposed in this paper does not only greatly improves the identification efficiency,but also realizes the intuitive,accurate and quantitative identification results,which is a subversive innovation and change to the traditional thin-section identification practice. | He Liua Yi-Li Ren Xin Li Yan-Xu Hu Jian-Ping Wu Bin Li Lu Luo Zhi Tao Xi Liu Jia Liang Yun-Ying Zhang Xiao-Yu An Wen-Kai Fang | 2022 | Petroleum Science2022，19，4： | 4 |
| 8 | Chemically modified magnetic chitosan microspheres for Cr(VI) removal from acidic aqueous solution显示文摘 | Xitong Sun Qian Li Liangrong Yang Huizhou Liua | 2016 | Particuology2016，14，3： | 4 |
| 9 | Heterologous expression of the Haynaldia villosa pattern-recognition receptor CERK1-V in wheat increases resistance to three fungal diseases显示文摘Wheat production is under continuous threat by various fungal pathogens.Identification of multipledisease resistance genes may lead to effective disease control via the development of cultivars with broad-spectrum resistance.Plant Lysin-motif(LysM)-type pattern-recognition receptors,which elicit innate immunity by recognizing fungal pathogen associated molecular patterns such as chitin,are potential candidates for such resistance.In this study,we cloned a LysM receptor-like kinase gene,CERK1-V,from the diploid wheat relative Haynaldia villosa.CERK1-V expression was induced by chitin and Blumeria graminis f.sp.tritici,the causal agent of wheat powdery mildew.Heterologous overexpression of CERK1-V in wheat inhibited the development of three fungal pathogens,thereby increased resistance to powdery mildew,yellow rust,and Fusarium head blight.CERK1-V physically interacted with the wheat Lys M protein Ta CEBi Ps.CERK1-V/Ta CEBi Ps interaction promoted chitin recognition and activated chitin signal transduction in wheat.Transgenic plants with excessively high CERK1-V expression showed high resistance but abnormal plant growth,whereas plants with moderate expression level showed adequate resistance level with no marked impairment of plant growth.In transgenic lines,RNA-seq showed that gene expression involved in plant innate immunity was activated.Expression of genes involved in photosynthesis,ER stress and multiple phytohormone pathways was also activated.Optimized expression of CERK1-V in wheat can confer disease resistance without compromising growth or defense fitness. | Anqi Fan Luyang Wei Xu Zhang Jia Liua Li Sun Jin Xiao Yajia Wang Haiyan Wang Jian Hua Ravi P.Singh Zongkuan Wang Xiue Wang | 2022 | The Crop Journal2022，10，6： | 2 |
| 10 | High-performance single-wall carbon nanotube transparent conductive films显示文摘A single-wall carbon nanotube(SWCNT)has superior optical,electrical,and mechanical properties due to its unique structure and is therefore expected to be able to form flexible high-performance transparent conductive films(TCFs).However,the optoelectronic performance of these films needs to be improved to meet the requirements of many devices.The electrical resistivity of SWCNTTCFs is mainly determined by the intrinsic resistivity of individual SWCNTs and their junction resistance in networks.We analyze these key factors and focus on the optimization of SWCNTs and their networks,which include the diameter,length,crystallinity and electrical type of the SWCNTs,and the bundle size and interconnects in networks,as well as chemical doping and microgrid design.We conclude that isolated/small-bundle,heavily doped metallic or semiconducting SWCNTs with a large diameter,long length and high crystallinity are necessary to fabricate high-performance SWCNTTCFs.A simple,controllable way to construct macroscopic SWCNT networks with Y-type connections,welded junctions or microgrid design is important in achieving a low resistivity.Finally,some insights into the key challenges in the manufacture and use of SWCNT TCFs and their prospects are presented,hoping to shed light on promoting the practical application of SWCNT TCFs in future flexible and stretchable optoelectronics. | Song Jiang Peng-Xiang Hou Chang Liua Hui-Ming Cheng | 2019 | Journal of Materials Science & Technology2019，35，11： | 2 |
| 11 | Simultaneous detection for three kinds of veterinary drugs:Chloramphenicol,elenbuterol and 17-beta-estradiol by high-throughput suspension array technology显示文摘 | Nan Liua Pu Sua Zhixian Gaoa | 2009 | Analytica Chimica Acta2009，632，1： | 1 |
| 12 | Experimen tal and Numerical Characterization of a Membrane Ma terial for Orthotropic Steel Deck Bridges显示文摘 | X Liua T O Medanib A Scarpasa etal | 2008 | Finite E1 ements in Analysis and Design2008，44，9： | 1 |
| 13 | Evaluation of the antibacterial efficacy of bamboo charcoal/silver biological protective material 显示文摘 | FU Chu Yanga KUO Hui Wua MING Jie Liua | 2009 | Materials Chemistry and Physics2009，，113： | 1 |
| 14 | Comparative transcriptomic profiling of a salt tolerant wild tomato species and a salt sensitive tomato cultivar显示文摘 | Sun W Xu X Zhu H LiuA Liu L Li J Hua X | | 0，，6： | 1 |
| 15 | Application of Multivalued Carbon Nanotubes as a Solid- Phase Extraction Sorbent for Chlorobenzenes 显示文摘 | Guohong Liua Jinglin Wangb Zhua Yongfa | 2004 | Analytical Letters2004，37，14： | 1 |
| 16 | Essential roles of grp94 in gut homeostasis via chaperoning canonical Wnt pathway 显示文摘 | Bei Liua Matthew Staronb Feng Honga et ai | 2013 | Proc Natl Acad Sci USA2013，110，17： | 1 |
| 17 | Coptis extracts enhance the anticancer effect of estrogen receptor antagonists on human breast cancer cells显示文摘 | Jing Liua Chengwei Hea Keyuan Zhoub | 2009 | Biochem Biophys Res Commun2009，378，2： | 1 |
| 18 | The porous structure of bituminous coal chars and its influence on combustion and gasification under chemically controlled conditions显示文摘 | Liua G Benyonb P Benfella K E | 2000 | Fuel2000，79，1： | 1 |
| 19 | Investigation on electrochemical properties of cerium doped lead dioxide anode and application for elimination of nitrophenol 显示文摘 | Yuan Liu Huiling Liua Jun Maa | 2011 | Electrochimica Acta2011，56，： | 1 |
| 20 | Waterbased sol-gel synthesis of hydroxyapatite: process development显示文摘 | Liua M Troczynskia T | 2001 | Biomaterials2001，22，13： | 1 |
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