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| 1 | Wheat breeding history reveals synergistic selection of pleiotropic genomic sites for plant architecture and grain yield显示文摘Diversity surveys of crop germplasm are important for gaining insights into the genomic basis for plant architecture and grain yield improvement,which is still poorly understood in wheat.In this study,we exome sequenced 287 wheat accessions that were collected in the past 100 years.Population genetics analysis identified that 6.7%of the wheat genome falls within the selective sweeps between landraces and cultivars,which harbors the genes known for yield improvement.These regions were asymmetrically distributed on the A and B subgenomes with regulatory genes being favorably selected.Genome-wide association study(GWAS)identified genomic loci associated with traits for yield potential,and two underlying genes,TaARF12 encoding an auxin response factor and TaDEP1 encoding the G-proteinγ-subunit,were located and characterized to pleiotropically regulate both plant height and grain weight.Elite single-nucleotide haplotypes with increased allele frequency in cultivars relative to the landraces were identified and found to have accumulated over the course of breeding.Interestingly,we found that TaARF12 and TaDEP1 function in epistasis with the classical plant height Rht-1 locus,leading to propose a“Green Revolution”-based working model for historical wheat breeding.Collectively,our study identifies selection signatures that fine-tune the gibberellin pathway during modern wheat breeding and provides a wealth of genomic diversity resources for the wheat research community. | Aili Li Chenyang Hao Zhenyu Wang Shuaifeng Geng Meiling Jia Fang Wang Xiang Han Xingchen Kong Lingjie Yin Shu Tao Zhongyin Deng Ruyi Liao Guoliang Sun Ke Wang Xingguo Ye Chengzhi Jiao Hongfeng Lu Yun Zhou Dengcai Liu Xiangdong Fu Xueyong Zhang Long Mao | 2022 | Molecular Plant2022，15，3： | 4 |
| 2 | Wheat functional genomics in the era of next generation sequencing: An update显示文摘Bread wheat is not only an important cereal crop but also a model for study of an allopolyploid plant with a large, highly repetitive genome. Advances in next-generation sequencing(NGS) technology provide needed throughput to conquer the enormous size of the wheat genome. Multiple high quality reference genome sequences will soon be available. Full-scale wheat functional genomics studies are dawning. In this review we highlight the available tools and methodologies for wheat functional genomics research developed with the assistance of NGS technology and recent progress, particularly the concerted effort in generating multiple reference genomes, strategies to attain genome-wide genetic variation, genome-wide association studies, mutant population generation, and NGS-supported gene cloning and functional characterization. These resources and platforms lay a solid foundation for wheat research, leading to a new era of wheat functional genomics that will bridge the gap between genotype and phenotype.Dissection of wheat genomes and gene functions should assist in genomics-assisted selection and facilitate breeding of elite varieties for sustainable agriculture in China and the world. | Meiling Jia Jiantao Guan Zhiwen Zhai Shuaifeng Geng Xueyong Zhang Long Mao Aili Li | 2018 | The Crop Journal2018，6，1： | 3 |
| 3 | Species richness, forest types and regeneration of Schima in the subtropical forest ecosystem of Yunnan, southwestern China显示文摘Background: Schima genus of Theaceae is confined to subtropics and tropics of South, East and Southeast Asia.Thirteen species of Schima are distributed in subtropical China. Many of them appear as dominant canopy species in the subtropical forests. To date, Schima species richness distribution patterns of China have remained unknown.Meanwhile, there has been a longtime debate as to whether forests dominated by Schima species are early or late successional forests. We aim to clarify Schima species richness patterns and these species' roles in the forest succession and regeneration dynamics of the subtropical ecosystem in Yunnan Province, China.Method: We mapped Schima species richness distribution patterns in China. Based on 71 vegetation plots, we analyzed forest characteristics, population structure, and regeneration dynamics of Schima species in Yunnan.Results: Yunnan was found to harbor the greatest richness and the highest rarity-weighted richness of Schima species in the subtropical regions of China. We classified five primary and six secondary forest types containing Schima species as one of dominants. Yunnan had the high floristic diversity and varying stand structure of forests containing Schima species. The Schima species studied generally had a sporadic regeneration type and a long lifespan. Four species(Schima argentea, Schima villosa, Schima sinensis, Schima sericans) were shade-intolerant. But three species(Schima noronhae, Schima khasiana and Schima wallichii) were considered as bi-modal type species having shade-intolerant and shade-tolerant traits. Schima noronhae was seen to be a top dominant in late successional forests, while S. wallichii was found as a top-dominant in early or middle or late successional forests. S.khasiana, Schima villosa, Schima sinensis usually appeared as a top dominant in early or middle successional secondary forests, though they also presented as a second dominant in late-successional forests. Schima argentea and Schima sericans dominated only in the early or middle/seral successional forests. Schima species' regeneration establishment depended mainly on forest canopy gap formation through moderate human and natural disturbances.Conclusions: Yunnan has high species richness and rarity-weighted richness of Schima. Both moderate human and natural disturbances have provided regeneration niches for Schima species. Some of the Schima species studied as a second dominant(rare as the top-dominant) present in the late-successional forests. Some of them are more often as the top-dominant in early or middle successional forests, where as time goes by the dominance of Schima species would be replaced by their associated dominant taxa such as Castanopsis species. | Cindy QTang Peng-Bin Han Shuaifeng Li Li-Qin Shen Diao-Shun Huang Yun-Fang Li Ming-Chun Peng Chong-Yun Wang Xiao-Shuang Li Wei Li Wei Wang Zhi-Ying Zhang | 2020 | Forest Ecosystems2020，7，3： | 3 |
| 4 | Measurement methods of particle size distribution in emulsion polymerization显示文摘The particle size distribution of polymer always develops in emulsion polymerization systems,and certain key phenomena/mechanisms as well as properties of the final product are significantly affected by this distribution.This review mainly focuses on the measurement methods of particle size distribution rather than average particle size during the emulsion polymerization process,including the existing off-line,on-line,and in-line measurement methods.Moreover,the principle,resolution,performance,advantages,and drawbacks of various methods for evaluating particle size distribution are contrasted and illustrated.Besides,several possible development directions or solutions of the in-line measurement technology are explored. | Shuaifeng Zhang Qinghua Zhang Jianzhuang Shang Zaisha Mao Chao Yang | 2021 | Chinese Journal of Chemical Engineering2021，34，11： | 2 |
| 5 | Controlling dynamic recrystallization via modified LPSO phase morphology and distribution in Mg-Gd-Y-Zn-Zr alloy显示文摘Featured initial microstructures of Mg-11Gd-4Y-2Zn-0.5Zr alloy(wt%) were obtained by adjusting temperatures of solid solution and cooling methods, including island intergranular 18R and 14H LPSO phases with low-density stacking faults, differentially spaced lamellar intragranular 14H-LPSO phases, and network intergranular 18R-LPSO phases with high-density intragranular stacking faults. Effects of these featured LPSO phases and stacking faults on dynamic recrystallization(DRX) behavior were investigated via hot compression. Promoted DRX behavior via particle stimulated nucleation(PSN) is introduced by coexisting intergranular island 18R and 14H LPSO phases and intragranular wide spacing lamellar 14H-LPSO phases, contributing the highest DRX fraction of 42.6%. Conversely, it is found that DRX behavior with network intergranular 18R-LPSO phases and dense intragranular stacking fault is considerably inhibited with the lowest fraction of 22.8%. That is, the restricted DRX due to dislocations pinning by stacking faults overwhelms the enhanced DRX behavior via PSN of island intergranular 18R and 14H LPSO phases. Specially, compared with dense intragranular lamellar 14H-LPSO phases, high-density stacking faults exert a larger inhibition effect on DRX behavior. | Ce Zheng Shuaifeng Chen Ming Cheng Shihong Zhang Yingju Li Yuansheng Yang | 2023 | Journal of Magnesium and Alloys2023，11，11： | 1 |
| 6 | Molecular evolution of two duplicated CDPK genes CPK7 and CPK12 in grass species: A case study in wheat ( Triticum aestivum L.)显示文摘 | Shuaifeng Geng Yongliang Zhao Lichuan Tang Rongzhi Zhang Minghui Sun Hanzi Guo Xiuying Kong Aili Li Long Mao | 2011 | Gene2011，，2： | 1 |
| 7 | Spatial distribution of health risks for residents located close to solvent-consuming industrial VOC emission sources显示文摘Emissions derived from the consumption of organic solvents have been proven to be the primary industrial source of volatile organic compounds(VOCs).In conjunction with epidemiologic studies, water-based paints(WBPs) and solvent-based paints(SBPs) were selected as representatives of newly developed solvents and traditional solvents, respectively,to simulate the effects of consuming solvents emitted during industrial production.And non-carcinogenic and carcinogenic risks to residents near emission sources were studied in detail.The results showed that the spatial distribution of health risks varied with meteorological conditions and type of emission source, and the prevailing wind direction strongly affected the distribution range and shape of the influenced area.The areas of influence maximized on heavy-polluting days for both WBP and SBP emission sources with the total span reaching 804 m and 16 km, respectively;meanwhile, the areas of influence for carcinogenic risk resulting from WBP emission sources were 1.2 and 2.3 times greater than those measured on fine and rainy days, respectively, and 1.8 and 2.9 times greater for SBP emission sources.Compared with WBPs, the total spans of negatively influenced regions resulting from SBP emission sources were 10.4, 12.5 and 19.9 times greater on fine, rainy and heavypolluting days, respectively.Therefore, carcinogenic risk was the dominant health threat for populations residing close to solvent-consuming industrial emission sources.The findings suggest that newly developed solvents are capable of significantly reducing consequent health threats, nevertheless, they could still pose occasional threats to nearby residents under specific meteorological conditions. | Di Wang Xuan Li Xinmin Zhang Wenjuan Zhao Weiqi Zhang Shuaifeng Wu Xia Shao Lei Nie | 2021 | Journal of Environmental Sciences2021，33，9： | 1 |
| 8 | Tracking Battery Dynamics by Operando Synchrotron X‑ray Imaging:Operation from Liquid Electrolytes to Solid-State Electrolytes显示文摘CONSPECTUS:Lithium-ion batteries have been widely applied in portable electronics due to their high energy density(300 Wh kg^(-1)).However,their potential applications in electric vehicles and grid energy storage call for higher energy density toward 500 Wh kg^(-1).Solid-state batteries,employing highly safe electrolytes to replace flammable liquid electrolytes,probably achieve this aim by reviving the metallic lithium anode.However,the sluggish lithium transport across the solid−solid interfaces seriously influences the actual battery electrochemistry in applications.Unlike the relatively complete basic theories of solid−liquid electrochemistry,the electrochemical fundamentals and models in the solid-state batteries are still ambiguous,which cannot give a guideline for optimizing strategies for high battery performance.Therefore,building better batteries for next-generation electrochemical energy storage remains a great challenge.Synchrotron X-ray imaging techniques are currently catching increasing attention due to their natural advantages,which are nondestructiveness,chemically responsiveness,elementally sensitivity,and high penetrability to enable operando investigation of a real battery.Based on the derived nanotomography techniques,it can provide 3D morphological information including thousands of slice morphologies from the bulk to the surface.Combined with X-ray absorption spectroscopy,X-ray imaging can even present chemical and phase mapping information,including the oxidation state,local environment,etc.,with sub-30 nm spatial resolution,which addresses the issues that we only obtain as averaged information in traditional X-ray absorption spectroscopy.Through an operando charging/discharging setup,X-ray imaging enables the study of the correlation between the morphology change and the chemical evolution(mapping)under different states of charge and cycling.In addition,X-ray imaging breaks up the size limit of nanoscale samples for the in-situ transmission electron microscope imaging,which enables a large,thick sample with a broad field of view,truly uncovering the behavior inside a real battery system. | Shuaifeng Lou Nan Sun Fang Zhang Qingsong Liu Jiajun Wang | 2021 | Accounts of Materials Research2021，2，12： | 1 |
| 9 | A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM显示文摘The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major concern.Advance rate is a key parameter of TBM operation and reflects the TBM-ground interaction,for which a reliable prediction helps optimize the TBM performance.Here,we develop a hybrid neural network model,called Attention-ResNet-LSTM,for accurate prediction of the TBM advance rate.A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning model.The evolutionary polynomial regression method is adopted to aid the selection of input parameters.The results of numerical exper-iments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage error.Further,parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy.A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational parameters.The performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable strata.Finally,data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our model.The results indicate that,compared to the conventional ResNet-LSTM model,our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic. | Sihao Yu Zixin Zhang Shuaifeng Wang Xin Huang Qinghua Lei | 2024 | Journal of Rock Mechanics and Geotechnical Engineering2024，16，1： | 0 |
| 10 | Correlation of the anisotropic hardening behavior and texture features of cold rolled Zr-4 sheet under uniaxial tension显示文摘The strongly anisotropic mechanical behaviors commonly observed in Zr-4 sheets typically lead to inferior formability.In this study,the mechanical behavior and texture evolution of a cold-rolled Zr-4 sheet under uniaxial tension in various directions were systematically investigated,and the results showed both anisotropic yielding and hardening behavior in the Zr-4 sheet.The microstructure and texture features revealed by electron backscattered diffraction(EBSD)method indicate that this anisotropic mechanical behavior is closely related to the initial texture and its evolution during plastic deformation.In conjunction with experimental observations,a visco-plastic self-consistent(VPSC)model was employed to quantitatively analyze the relationship between the mechanical anisotropy and the texture features and activation of deformation modes.It was found that the yield anisotropy is affected by the distinct activity of prismaticslip,while the different activities of basalslip and extension twinning(ETW)result in anisotropic hardening.The distinct activation of deformation modes is mainly caused by differences in the evolution of the Schmid factor(SF)and critical resolved shear stress(CRSS)with increasing strain.Additionally,the results prove that the limited twinning activation with a fraction of less than 3%plays a non-negligible role in the hardening behavior during tension along the transverse direction.The latent hardening effect caused by the interaction between prismatic slip and tensile twinning is considered to successfully capture the anisotropic hardening behavior of the Zr-4 sheet.The implementation and insights from the predictions are presented and discussed in this work. | Huan Liu Siying Deng Shuaifeng Chen Hongwu Song Shihong Zhang Ben Wang | 2022 | Journal of Materials Science & Technology2022，，24： | 0 |
| 11 | Conjugated polymerized bimetallic phthalocyanine based electrocatalyst with Fe-N_(4)/Co-N_(4) dual-sites synergistic effect for zinc-air battery显示文摘The bifunctional oxygen catalyst is essential for zinc-air batteries(ZABs).Here,an efficient bifunctional oxygen catalyst,PPcFeCo/3D-G,is obtained throughπ-πinteraction between the conjugated polymerized iron-cobalt phthalocyanine(PPcFeCo)with excellent thermal stability and three-dimensional graphene(3D-G).The bimetallic synergistic effect of PPcFeCo,verified by DFT(Density functional theory)calculation,andπ-πinteractions enhances the catalytic activity and durability of the PPcFeCo/3D-G.Regarding electrochemical performance,the PPcFeCo/3D-G with a high electron transfer number(3.98,@0.768 V vs.RHE)has excellent half-wave potential(E_(1/2)=0.890 V vs.RHE)and exhibits outstanding reversibility(ΔE=0.700 V,ΔE=Ej=10-E_(1/2)).The liquid ZAB(LZAB)employed PPcFeCo/3D-G displays a high power density(222 m W cm^(-2)),a specific capacity(792 m A h g-1),and excellent durability(120 h).This work has guiding significance for the preparation of high-efficiency bifunctional catalysts. | Shuaifeng Wang Zhongfang Li Wenjie Duan Peng Sun Jigang Wang Qiang Liu Lei Zhang Yanqiong Zhuang | 2023 | Journal of Energy Chemistry2023，，11： | 0 |
| 12 | TBM performance prediction using LSTM-based hybrid neural network model:Case study of Baimang River tunnel project in Shenzhen,China显示文摘Accurately predicting tunnel boring machine(TBM)performance is beneficial for excavation efficiency enhancement and risk miti-gation of TBM tunneling.In this paper,we develop a long short-term memory(LSTM)based hybrid intelligent model to predict two key TBM performance parameters(advance rate and cutterhead torque).The model combines the LSTM,BN,Dropout and Dense layers to process the raw data and improve the fitting quality.The features,including the ground formation properties,tunnel route cur-vature,tunnel location and TBM operational parameters,are divided into historical/real-time time-varying parameters,time-invariant parameters and historical/real-time output prediction data.The effectiveness of the proposed model is verified based on a large moni-toring database of the Baimang River Tunnel Project in Shenzhen,south China.We then discuss the influence of the prediction mode,neural network structure and time division interval length of historical data on the prediction accuracy.The significance evaluation of input features shows that the historical output prediction has the largest influence on the prediction accuracy,and the influence of ground properties is secondary.It is also found that the correlations between input features and the output prediction are coincident with their interrelationships with the ground properties and ease of TBM excavation.Finally,it is found that the prediction results are most affected by the total propulsion force followed by the rotation speed of the cutterhead.The established model can provide useful guidance for construction personnel to roughly grasp the possible TBM status from the prediction results when adjusting the operational parameters. | Qihang Xu Xin Huang Baogang Zhang Zixin Zhang Junhua Wang Shuaifeng Wang | 2023 | Underground Space2023，，4： | 0 |
| 13 | 中国云南石灰岩山地森林系统中受到威胁的董棕的森林特征和种群结构显示文摘别具魅力的董棕(Caryota obtusa)属于棕榈科(Arecaceae)的树种,在中国西南地区、印度、缅甸、泰国、老挝和越南有自然分布。董棕是一个具有重要经济价值且受到人为活动威胁的物种,其在云南的一些石灰岩山地乔木层占据优势。本研究的目的是阐明在云南石灰岩山地森林生态系统中董棕的群落结构、物种多样性、种群现状及其更新动态。为了全面深入的调查董棕群落,我们在云南南部10个县设置56个样方。根据样方数据,我们分析了群落的垂直结构、物种组成和种群结构,并对当地村民进行问卷采访记录了长期以来人为活动对董棕林的干扰情况。研究结果表明,董棕棕榈林分布在石灰岩山坡和沟谷,有7个群落类型。每个群落的垂直结构明显,分为乔木层、灌木层和林床。群落物种组成丰富,各群落类型的木本物种和草本物种的香农-维纳多样性指数均在2.1–3.8。董棕在胸径级上的分布为多峰型,属间歇性更新,且依赖于一定的自然干扰,董棕小树主要在无人为干扰或人为干扰小的群落中出现,重度人为干扰严重地阻碍了董棕的更新,其次的中度人为干扰也给董棕的更新带来了一定的困难。 | Cindy Q.Tang Xia Lu Min-Rui Du Shu-Li Xiao Shuaifeng Li Peng-Bin Han Jia-Le Zeng Jian-Ran Wen Shi-Qian Yao You-Cai Shi Yun-Fang Li Ming-Chun Peng Chong-Yun Wang Zhi-Ying Zhang | 2022 | Journal of Plant Ecology2022，15，4： | 0 |
| 14 | Earthquake-induced fracture displacements and transmissivity changes in a 3D fracture network of crystalline rock for spent nuclear fuel disposal显示文摘During the long service period of a nuclear waste repository in crystalline rock,large earthquake(s)may occur nearby the repository site and coseismically alter the local stress field around pre-existing fractures within the geological formation.The resulting fracture normal/shear displacements may lead to fracture opening and further promote the transport of leaked radionuclides into the groundwater system.Thus,it is of central importance to analyze the consequences of potential future earthquake(s)on the hydrogeological properties of a repository site for spent nuclear fuel disposal.Based on the detailed site characterization data of the repository site at Forsmark,Sweden,we conduct a three-dimensional(3D)seismo-hydro-mechanical simulation using the 3Dimensional Distinct Element Code(3DEC).We explicitly represent a primary seismogenic fault zone and its surrounding secondary fracture network associated with a power-law size scaling and a Fisher orientation distribution.An earthquake with a magnitude of M_(w)=5.6 caused by the reactivation of the primary fault zone is modeled by simulating its transient rupture propagating radially outwards from a predefined hypocenter at a specified rupture speed,with the faulting dynamics controlled by a strength weakening law.We model the coseismic response of the off-fault fracture network subject to both static and dynamic triggering effects.We further diagnose the distribution of fracture hydro-mechanical properties(e.g.mechanical/hydraulic aperture,hydraulic transmissivity)before and after the earthquake in order to quantify earthquakeinduced hydraulic changes in the fracture network.It is found that earthquake-induced fracture transmissivity changes tend to follow a power-law decay with the distance to the earthquake fault.Our simulation results and insights obtained have important implications for the long-term performance assessment of nuclear waste repositories in fractured crystalline rocks. | Wenbo Pan Zixin Zhang Shuaifeng Wang Qinghua Lei | 2023 | Journal of Rock Mechanics and Geotechnical Engineering2023，15，9： | 0 |
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