|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The HuangZaoSi Maize Genome Provides Insights into Genomic Variation and Improvement History of Maize显示文摘Maize is a globally important crop that was a classic model plant for genetic studies. Here, we report a 2.2 Gb draft genome sequence of an elite maize line, HuangZaoSi (HZS). Hybrids bred from HZS-improved lines (HILs) are planted in more than 60% of maize fields in China. Proteome clustering of six completed sequeneed maize genomes show that 638 proteins fall into 264 HZS-specific gene families with the majority of contributions from tandem duplication events. Resequencing and comparative analysis of 40 HZSrelated lines reveals the breeding history of HILs. More than 60% of identified selective sweeps were clustered in identity.by.descent conserved regions, and yield-related genes/QTLs were enriched in HZS characteristic selected regions. Furthermore, we dem on strated that HZS-specific family genes were not uniformly distributed in the genome but enriched in improvement/function.related genomic regions. This study provides an important and novel resource for maize genome research and expands our knowledge on the breadth of genomic variation and improvement history of maize. | Chunhui Li Wei Song Yingfeng Luo Shenghan Gao Ruyang Zhang Zi Shi Xiaqing Wang Ronghuan Wang Fengge Wang Jidong Wang Yanxin Zhao Aiguo Su Shuai Wang Xin Li Meijie Luo Shuaishuai Wang Yunxia Zhang Jianrong Ge Xinyu Tan Ye Yuan Xiaochun Bi Hang He Jianbing Yan Yuandong Wang Songnian Hu Jiuran Zhao | 2019 | Molecular Plant2019，12，3： | 15 |
| 2 | Design and validation of real-time dynamic spectrum management in OFDM-based HNPLC systems显示文摘Time-varying frequency selective attenuation and colored noises are unfavorable characteristics of power line communication(PLC) channels of the low voltage networks.To overcome these disadvantages,a novel real-time dynamic spectrum management(DSM) algorithm in orthogonal frequency division multiplexing(OFDM)-based high-speed narrow-band power line communication(HNPLC) systems is proposed,and the corresponding FPGA circuit is designed and realized.Performance of the proposed DSM is validated with a large amount of network experiments under practical PLC circumstance.As the noise in each narrow subcarrier is approximately Gaussian,the proposed DSM adopts the BER/SER expression formulized via the AWGN channel to provide a handy and universal strategy for power allocation.The real-time requirement is guaranteed by choosing subcarriers in group and employing the same modulation scheme within each transmission.These measures are suitable for any modulation scheme no matter the system criterion is to maximize data rate or minimize power/BER.Algorithm design and hardware implementation of the proposed DSM are given with some flexible and efficient conversions.The DSM circuit is carried out with Xilinx KC705.Simulation and practical experiments validate that the proposed real-time DSM significantly improves system performance. | 刘雯静 Guo Jingbo Yan Yanxin Zhang Tongfei | 2015 | High Technology Letters2015，21，4： | 2 |
| 3 | Influence of soil microorganisms and physicochemical properties on plant diversity in an arid desert of Western China显示文摘Soil microorganisms and physicochemical properties are considered the two most influencing factors for maintaining plant diversity.However,the operational mechanisms and which factor is the most influential manipulator remain poorly understood.In this study,we examine the collaborative influences of soil physicochemical properties(i.e.,soil water,soil organic matter(SOM),salinity,total phosphorus and nitrogen,pH,soil bulk density and fine root biomass)and soil microorganisms(fungi and bacteria)on plant diversity across two types of tree patches dominated by big and small trees(big trees:height≥7 m and DBH≥60 cm;small trees:height≤4.5 m and DBH≤20 cm)in an arid desert region.Tree patch is consists of a single tree or group of trees and their accompanying shrubs and herbs.It was hypothesized that soil physicochemical properties and microorganisms affect plant diversity but their influence differ.The results show that plant and soil microbial diversity increased with increasing distances from big trees.SOM,salinity,fine root biomass,soil water,total phosphorus and total nitrogen contents decreased with increasing distance from big trees,while pH and soil bulk density did not change.Plant and soil microbial diversity were higher in areas close to big trees compared with small trees,whereas soil physicochemical properties were opposite.The average contribution of soil physicochemical properties(12.2%-13.5%)to plant diversity was higher than microbial diversity(4.8%-6.7%).Salinity had the largest negative affect on plant diversity(24.7%-27.4%).This study suggests that soil fungi constrain plant diversity while bacteria improve it in tree patches.Soil physicochemical properties are the most important factor modulating plant diversity in arid desert tree patches. | Xiaodong Yang Yanxin Long Binoy Sarkar Yan Li Guanghui Lv Arshad Ali Jianjun Yang Yue-E.Cao | 2021 | Journal of Forestry Research2021，32，6： | 2 |
| 4 | Utilization of waste phosphogypsum to prepare non-fired bricks by a novel Hydration–Recrystallization process显示文摘 | Jun Zhou Hui Gao Zhu Shu Yanxin Wang Chunjie Yan | 2012 | Construction and Building Materials2012，，： | 1 |
| 5 | Liquid - phase adsorption: Characterization and use of activated carbon prepared from diosgenin production residue, Colloids and Surfaces A: Physicochem 显示文摘 | Caixiang Zhang Yanxin Wang Xifeng Yan | 2006 | Eng Aspects2006，280，： | 1 |
| 6 | A novel quantum swarm evolutionary algorithm and its applications 显示文摘 | WANG Yan FENG Xiaoyue HUANG Yanxin | 2007 | Neurocomputing2007，70，： | 1 |
| 7 | Recovery of iron oxide concentrate from high-sulfur and low-grade pyrite cinder using an innovative beneficiating process显示文摘 | Binbin He Xike Tian Yan Sun Chao Yang Yanglin Zeng Yanxin Wang Suxin Zhang Zhenbang Pi | 2010 | Hydrometallurgy2010，，2： | 1 |
| 8 | A novel quantum swarm evolutionary algorithm and its application 显示文摘 | Yan W Xiaoyue F Yanxin H | 2007 | Neurocompu- ring2007，70，46： | 1 |
| 9 | A New Way to CCK Performance Analysis under AWGN Channel显示文摘In this paper,M-ary Quaternary Orthogonal Keying modulation(MQOK) is proposed based on the analysis of Complementary Code Keying(CCK) and Mary Bi-orthogonal Keying(MBOK).Besides,CCK can be defined as a kind of MQOK.By analyzing the performance of MQOK on the condition of additive white Gaussian noise(AWGN) channel,new closed-form formulae for CCK modulation are gained. Comparison between the numerical result and the simulation result confirms that these formulae are more accurate and practical to manipulate. | Tai Nengjian Wu Jie Gou Yanxin Tian Yan | 2007 | China Communications2007，4，4： | 1 |
| 10 | A two-stage nanofiltration process for reclamation of diosgenin wastewater显示文摘 | Yue’e Peng Yanxin Wang Zhihua Yang Jianguo Bao Yan Hong | 2010 | Desalination2010，，1： | 1 |
| 11 | The saccharification–membrane retrieval–hydrolysis (SMRH) process: a novel approach for cleaner production of diosgenin derived from Dioscorea zingiberensis显示文摘 | Yanxin Wang Hui Liu Jianguo Bao Yan Hong Zhihua Yang Caixiang Zhang | 2007 | Journal of Cleaner Production2007，，10： | 1 |
| 12 | Novel numerical model to simulate water seepage through segmental gasketed joints of underwater shield tunnels considering the superimposed seepage squeezing effect显示文摘The water leakage through segmental joint gaskets has become a major concern that adversely affects the normal serviceability of underwater shield tunnels throughout the construction and operational periods.Therefore,it is of great significance to investigate the sealing performances of the joint gaskets,which directly helps evaluate the waterproof capacity of underwater shield tunnels.To date,the numerical modeling plays an irreplaceable role in the analysis on the waterproof capacity of the joint gaskets.Nevertheless,conventional methods tend to ignore the self-sealing effect induced by the water seepage pressurization,thus failing to reveal the progressive evolution of the water infiltration process through the joint gasket.To remedy this defect,this paper proposed a novel numerical model to simulate the penetration process of the sealing gasket based on the Python language-enabled secondary programming in the ABAQUS software,which could fully consider the superimposed seepage squeezing effect.Based on the proposed model,the waterproof failure process and the dynamic contact stress of the gasket’s water seepage path subject to excessive hydraulic pressure were thoroughly investigated.Moreover,indoor tests on the waterproof capacity of the gasket were also performed to validate the proposed model.It is found that the numerical results from the developed model are consistent with the experimental results.This research will contribute to better understanding of the gaskets’hydraulic penetration process and more accurate prediction of the maximum waterproof capacity in underwater shield tunnels. | Qixiang Yan Haojia Zhong Chuan Zhang Zechang Zhao Yanxin Wen Ping Wang | 2023 | Underground Space2023，，6： | 0 |
| 13 | Biogas by two-stage microbial anaerobic and semi-continuous digestion of Chinese cabbage waste显示文摘Anaerobic digestion of Chinese cabbage waste was investigated through a pilot-scale two-stage digester at a mesophilic temperature of 37 °C. In the acidification digester, the main product was acetic acid, with the maximum concentration of 4289 mg·L-1on the fourth day, accounting for 50.32% of total volatile fatty acids. The oxidation reduction potential(ORP) and NH+4-N level decreased gradually with hydraulic retention time(HRT)of acidification. In the second digestion phase, the maximum methanogenic bacterial concentration reached9.6 × 1010ml-1at the organic loading rate(OLR) of 3.5–4 kg VS·m-3, with corresponding HRT of 12–16 days.Accordingly, the optimal biogas production was 0.62 m3·(kg VS)-1, with methane content of 65%–68%. ORP and NH+4-N levels in the methanizer remained between- 500 and- 560 m V and 2000–4500 mg·L-1, respectively. Methanococcus and Methanosarcina served as the main methanogens in the anaerobic digester. | Xiaoying Dong Lijie Shao Yan Wang Wei Kou Yanxin Cao Dalei Zhang | 2015 | Chinese Journal of Chemical Engineering2015，23，5： | 0 |
| 14 | Nomogram prediction model called“ADPLCP”for predictinglinezolid-associated thrombocytopenia in elderly individuals显示文摘Background:Linezolid-associated thrombocytopenia(LAT)leads to drug withdrawal associated with a poor prognosis.Some risk factors for LAT have been identified;however,the sample size of previous studies was small,data from elderly individuals are limited,and a simple risk score scale was not established to predict LAT at anearly stage,making it difficult to identify and intervene in LAT at an early stage.Methods:In this single-center retrospective case-control study,we enrolled elderly patients treated with linezolidin the intensive care unit from January 2015 to December 2020.All the data of enrolled patients,includingdemographic information and laboratory findings at baseline,were collected.We analyzed the incidence andrisk factors for LAT and established a nomogram risk prediction model for LAT in the elderly population.Results:A total of 428 elderly patients were enrolled,and the incidence of LAT was 35.5%(152/428).Age≥80 years old(OR=1.980;95%CI:1.179–3.325;P=0.010),duration of linezolid≥10 days(OR=1.100;95%CI:1.050–1.152;P<0.0001),platelet count at baseline(100–149×10^(9)/L vs.≥200×10^(9)/L,OR=8.205,95%CI:4.419–15.232,P<0.0001;150–199×10^(9)/L vs.≥200×10^(9)/L,OR=3.067,95%CI:1.676–5.612,P<0.001),leukocytecount at baseline≥16×10^(9)/L(OR=2.580;95%CI:1.523–4.373;P<0.0001),creatinine clearance<50 mL/min(OR=2.323;95%CI:1.388–3.890;P=0.001),and total protein<60 g/L(OR=1.741;95%CI:1.039–2.919;P=0.035)were associated with LAT.The nomogram prediction model called“ADPLCP”(age,duration,platelet,leukocyte,creatinine clearance,protein)was established based on logistic regression.The area under the curve(AUC)of ADPLCP was 0.802(95%CI:0.748–0.856;P<0.0001),with 78.9%sensitivity and 69.2%specificity(cut-off was 108).Risk stratification for LAT was performed based on“ADPLCP.”Total points of<100 were defined as low risk,and the possibility of LAT was<32.0%.Total points of 100–150 were defined as medium risk,and the possibility of LAT was 32.0–67.5%.A total point>150 was defined as high risk,and the probability ofLAT was>67.5%.Conclusions:We created the ADPLCP risk score scale to predict the occurrence of LAT in elderly individuals.ADPLCP is simple and feasible and is helpful for the early determination of LAT to guide drug withdrawal orearly intervention. | Yanxin Liu Jiang Wang Tingting Liu Kun Xiao Peng Yan Xiangqun Fang Lixin Xie | 2023 | Journal of Intensive Medicine2023，3，3： | 0 |
| 15 | GAN and CNN for imbalanced partial discharge pattern recognition in GIS显示文摘The convolutional neural network(CNN)achieves excellent performance in pattern recognition owing to its powerful automatic feature extraction capability and outstanding classification performance.However,the actual samples obtained are unbalanced,and accurate diagnoses are difficult for the existing methods.A classification method for partial discharge(PD)pattern recognition in gas-insulated switchgear(GIS)that uses a generative adversarial network(GAN)and CNN on unbalanced samples is proposed.First,a novel Wasserstein dual discriminator GAN is used to generate data to equalise the unbalanced samples.Second,a decomposed hierarchical search space is used to automatically construct an optimal diagnostic CNN.Finally,PD pattern recognition classification in GIS of the unbalanced samples is realised by the GAN and CNN.The experimental results show that the GAN and CNN methods proposed in this study have a pattern recognition accuracy of 99.15%on unbalanced samples,which is significantly higher than that obtained by other methods.Therefore,the method proposed in this study is more suitable for industrial applications. | Yanxin Wang Jing Yan Zhou Yang Qianzhen Jing Jianhua Wang Yingsan Geng | 2022 | High Voltage2022，7，3： | 0 |
| 16 | ShuffleNet-based comprehensive diagnosis for insulation and mechanical faults of power equipment显示文摘Despite the complicated fault mechanism of power equipment,with the increasing promotion and development of the Ubiquitous Power Internet of Things(UPIoT),the fault information of power equipment can be instantly saved,which makes possible intelligent diagnosis via fault samples.This study proposes a new method to implement comprehensive intelligent diagnosis by adopting the ShuffleNet light-weight convolution neural network(SLCNN).Considering the requirements of the UPIoT intelligent terminal,this study constructs six models,which are measured in terms of recognition accuracy,model storage,and calculation cost when applied to insulation and mechanical datasets.Compared with the existing models,the SLCNN outperforms them significantly in terms of recognition accuracy,with an accuracy of 95.77%and 99.9%in insulation and mechanical fault diagnoses,respectively.The SLCNN also demonstrates obvious advantages in other performance indicators,all of which contribute to its use in the accurate and reliable fault diagnosis of power equipment in the UPIoT context.Furthermore,through comparing feature maps,it is discovered that the aliasing degree and boundary of insulation defects are not as obvious as those of mechanical faults,which means that insulation fault diagnosis is much more difficult than mechanical fault diagnosis. | Yanxin Wang Jing Yan Qifeng Sun Yiming Zhao Tingliang Liu | 2021 | High Voltage2021，6，5： | 0 |
| 17 | A novel method for small and unbalanced sample pattern recognition of gas insulated switchgear partial discharge using an auxiliary classifier generative adversarial network显示文摘Convolutional neural networks(CNNs)have been widely used for gas-insulated switchgear(GIS)partial discharge(PD)pattern recognition due to their powerful feature extraction ability.However,there is commonly a scarcity of fault samples due to low insulation failure rate of GIS equipment,which degrades the diagnostic performance of these CNN networks when directly applied to small and unbalanced datasets.Therefore,we propose a novel auxiliary classifier generative adversarial network for GIS PD pattern recognition for small and unbalanced samples.First,we propose using synchrosqueezed wavelet transform to extract time-frequency characteristics of PD pulses and obtain a time-frequency image with high energy aggregation and timefrequency distribution rate.Then,we propose an improved generative adversarial network with an auxiliary classier and self-attention mechanism,which can generate highquality PD samples for situations with few classes.Experiments show that our proposed method can reach 95.75%recognition accuracy for small datasets,which is the highest among several comparable methods.Furthermore,the proposed method has excellent and stable recognition performance for various unbalanced datasets. | Qianzhen Jing Jing Yan Yanxin Wang Xinyu Ye Jianhua Wang Yingsan Geng | 2023 | High Voltage2023，8，2： | 0 |
| 18 | Vitamin B_(9) derived nitrogen-doped graphene for metal-free aerobic oxidation of biomass-derived chemicals显示文摘A superior carbocatalyst ultrahigh N-doped graphene(NG) was prepared by a novel self-sacrificial templating method of one-step annealing vitamin B_(9).The NG catalyst with pyrolysis temperature of 800℃(abbreviated VB_(9)-NG-800) has an ultrahigh nitrogen content of 13.5 wt% and demonstrated the highest activity for the oxidation of bio-based alcohols and terpenes with molecular oxygen without any additives.Systematic characterizations and quantum-chemical calculations further manifested that high contents of graphitic N and pyridinic N species in VB_(9)-NG-800 promoted the generation of·O_(2)^(-)active species from molecular oxygen effortlessly,resulting in excellent catalytic performance for aerobic oxidation. | Duan-Jian Tao Xin Zhao Yanxin Wang Xixi Liu Hong-Ping Li Zhang-Min Li Yan Zhou Ziliang Yuan Zehui Zhang | 2022 | Green Energy & Environment2022，7，5： | 0 |
| 19 | A Simulation Study on the Thermal Shock Behavior of Tungsten Mock-Up under Steady-State Heat Loads显示文摘In a fusion reactor,due to high heat flux(HHF) loads,the plasma facing components(PFCs) will suffer severe thermal shock.In this paper,the temperature distribution and thermal-stress field of tungsten armor under HHF loads were investigated by the method of finite element modeling and simulating.The orthogonal experiment and range analysis were employed to compare the influence degree of four representative factors:steady-state heat flux;thickness of tungsten armor;inner diameter of cooling tube and the coefficient of convection heat transfer(CCHF) of cooling water,on thermal shock behavior tungsten mock-ups,and then get an optimization model to conduct the transient heat flux experiment.The final simulation results indicated that the steady-state heat flux and the thickness of W armor are the main influential factors for the maximum temperature of mock-ups.Furthermore,the influence of transient thermal shock all mainly concentrates on the shallow surface layer of tungsten(about 500 μm) under different transient heat flux(duration 0.5 ms).The results are useful for the structural design and the optimization of tungsten based plasma facing materials for the demonstration reactor(DEMO) or other future reactors. | Yanxin Wang Shuming Wang Qing Ye Qingzhi Yan Changchun Ge | 2016 | Journal of Materials Science & Technology2016，32，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员