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| 1 | Solvothermal-Assisted Exfoliation Process to Produce Graphene with High Yield and High Quality显示文摘Monolayer and bilayer graphene sheets have been produced by a solvothermal-assisted exfoliation process in a highly polar organic solvent,acetonitrile,using expanded graphite(EG)as the starting material.It is proposed that the dipole-induced dipole interactions between graphene and acetonitrile facilitate the exfoliation and dispersion of graphene.The facile and effective solvothermal-assisted exfoliation process raises the low yield of graphene reported in previous syntheses to 10 wt%12 wt%.By means of centrifugation at 2000 rpm for 90 min,monolayer and bilayer graphene were separated effectively without the need to add a stabilizer or modifi er.Electron diffraction and Raman spectroscopy indicate that the resulting graphene sheets are high quality products without any signifi cant structural defects. | Wen Qian Rui Hao Yanglong Hou Yuan Tian Chengmin Shen Hongjun Gao Xuelei Liang | 2009 | Nano Research2009，2，9： | 28 |
| 2 | Clinical features and management of postural tachycardia syndrome in children: a single-center experience显示文摘 | Li Jiawei Zhang Qingyou Hao Hongjun Jin Hongfang Du Junbao | 2014 | Chinese Medical Journal2014，，21： | 11 |
| 3 | In vivo evaluation of urokinase-loaded hollow nanogels for sonothrombolysis on suture embolization-induced acute ischemic stroke rat model显示文摘The urokinase-type plasminogen activator(uPA)loaded hollow nanogels(nUK)were synthesized by a one-step reaction of glycol chitosan and aldehyde capped poly(ethylene oxide).The resultant formulation is sensitive to diagnostic ultrasound(US)of 2 MHz.Herein,we evaluated the in vivo sonothrombolysis performance of the nUK on acute ischemic stroke rat model which was established by suture embolization of middle cerebral artery(MCA).Via intravenous(i.v.)administration,the experimental data prove a controlled release of the therapeutic protein around the clots under ultrasound stimulation,leading to enhanced thrombolysis efficiency of the nUK,evidenced from smaller infarct volume and better clinical scores when compared to the i.v.dose of free uPA no matter with or without US intervention.Meanwhile,the preservation ability of the nanogels not only prolonged the circulation duration of the protein,but also resulted in the better blood-brain barrier protection of the nUK formulation,showing no increased risk on the hemorrhagic transformation than the controls.This work suggests that the nUK is a safe sonothrombolytic formulation for the treatment of acute ischemic stroke. | Yuming Teng Haiqiang Jin Ding Nan Mengnan Li Chenghe Fan Yuanyuan Liu Pu Lv Wei Cui Yongan Sun Hongjun Hao Xiaozhong Qu Zhenzhong Yang Yining Huang | 2018 | Bioactive Materials2018，3，1： | 7 |
| 4 | A Two-stage Robust Optimal Allocation Model of Distributed Generation Considering Capacity Curve and Real-time Price Based Demand Response显示文摘Demand response, the reactive power output of distributed generation(DG), and network reconfiguration have significant impacts on a DG allocation strategy. In this context, a novel real-time price-based demand response formulation is integrated into the allocation model of DG. The tariff is regulated by the difference between the load and active power of renewable energy. Meanwhile, network reconfiguration and the capacity curve describing the active and reactive power limits of DG are included in the optimization model for promoting the allocation of DG.With these measures, the optimal allocation model of DG is established with the goal of maximizing the net annual profit while guaranteeing the efficient utilization of renewable energy. In addition, the uncertainties of renewable energy are considered on the basis of a two-stage robust optimization method. Finally, the entire optimization model is solved by the column and constraint generation algorithm in the IEEE 33-bus distribution system and a practical 99-bus distribution system. Numerical simulations show that the proposed model is effective in terms of improving both the usage of renewable energy and net annual profit. | Shuaijia He Hongjun Gao Hao Tian Lingfeng Wang Youbo Liu Junyong Liu | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，1： | 5 |
| 5 | Effect of Zr addition on precipitates in K4169 superalloy显示文摘In order to investigate the effect of Zr addition on the precipitations of K4169 superalloy,a manual electric arc furnace was used to prepare the superalloy with different Zr addition from 0.03wt.% to 0.07wt%.After standard heat treatment and long-time aging,the microstructures of the alloys were observed using XRD,SEM and TEM.The results show that Zr not only inhibits the precipitation of Laves phase at the grain boundary,but also significantly promotes the precipitation of earlobe-like γ' and γ″ phases.After long time aging at 680℃ for 500 h,the γ″ phase grows up obviously and forms a γ'/γ'' clad microstructure when the Zr addition is 0.03 wt.%.A large number of fine orbed γ' particles precipitate in the grains and some γ″ phase transforms to disk-like δ phase when the Zr addition increases to 0.05wt.%.The nano-polycrystalline γ' phase precipitates in the grains and there is a little δ phase when the Zr addition is 0.07wt.%.As the Zr addition increases,the amount of Laves phase at the grain boundary decreases at first,and then increases and forms flaky morphology. | Li Yamin Liu Hongjun Liu Jie Wang Zhipeng Hao Yuan | 2012 | China Foundry2012，9，1： | 3 |
| 6 | Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake显示文摘Agricultural activities, including stock-farming, planting industry, and fish aquaculture,can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear.Hence, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO_3^--N, and NO_2^--N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake. | Maozhen Han Melissa Dsouza Chunyu Zhou Hongjun Li Junqian Zhang Chaoyun Chen Qi Yao Chaofang Zhong Hao Zhou Jack A Gilbert Zhi Wang Kang Ning | 2019 | Genomics, Proteomics & Bioinformatics2019，17，1： | 3 |
| 7 | Rapid hydrocarbon accumulation mechanism in later period in Kelasu thrust belt in Kuqa depression显示文摘Based on the analyses of generation, migration and accumulation of oil and gas in the structures of Kela 1, Kela 2 and Kela 3 in Kasangtuokai anticlinal belt using a series of geological and geochemical evidence, this paper proposes that the rapid rate of hydrocarbon generation, main drain path for over-pressured fluid flow and converging conduit system are indispensable conditions for the rapid, late-stage gas accumulation in the Kelasu thrust belt in the Kuqa depression. Due to structural over-lapping and the resultant rapid burial, the maturity of the source rocks had been increased rapidly from 1.3 to 2.5% Ro within 2.3 Ma, with an average rate of Ro increase up to 0.539% Ro/Ma. The rapid matura-tion of the source rocks had provided sufficient gases for late-stage gas accumulation. The kelasu structural belt has a variety of faults, but only the fault that related with fault propagation fold and cut through the gypsiferous mudstone cap could act as the main path for overpressured fluid release and then for fast gas accumulation in low fluid potential area. All the evidence from surface structure map, seismic profile explanation, authigenic kaolinite and reservoir property demonstrates that the main drain path related with faults for overpressured fluid and the converging conduit system are the key point for the formation of the giant Kela 2 gas field. By contrast, the Kela 1 and Kela 3 structures lo-cated on both sides of Kela 2 structure, are not favourable for gas accumulation due to lacking con-verging conduit system. | ZOU HuaYao WANG HongJun HAO Fang LIU GuangDi ZHANG BaiQiao | 2007 | Science China Earth Sciences2007，50，8： | 3 |
| 8 | Correlation of DNA methylation patterns to the phenotypic features of Tibetan elite alpinists in extreme hypoxia显示文摘High altitude is an extreme environment that imposes hypoxic pressure on physiological processes,and natives living at high altitudes are more adaptive in certain physiological processes.So far,epigenetic modifications under extreme changes in hypoxic pressures are relatively less understood.Here,we recruit 32 Tibetan elite alpinists(TEAs),who have successfully mounted Everest(8848 m)at least five times.Blood samples and physiological phenotypes of TEAs and 32 matched non-alpinist Tibetan volunteers(non-TEAs)are collected for analysis.Genome-wide DNA methylation analysis identifies 23,202 differentially methylated CpGs(P_(adj)<0.05,|β|>0.1)between the two groups.Some differentially methylated CpGs are in hypoxia-related genes such as PPP1R13L,MAP3K7CL,SEPTI-9,and CUL2.In addition,Gene ontology enrichment analysis reveals several inflammation-related pathways.Phenotypic analysis indicates that 12 phenotypes are significantly different between the two groups.In particular,TEAs exhibit higher blood oxygen saturation levels and lower neutrophil count,platelet count,and heart rate.For DNA methylation association analysis,we find that two CpGs(cg16687447,cg06947206)upstream of PTEN were associated with platelet count.In conclusion,extreme hypoxia exposure leads to epigenetic modifications and phenotypic alterations of TEA,providing us clues for exploring the molecular mechanism underlying changes under extreme hypoxia conditions. | Zhuoma Basang Shixuan Zhang La Yang Deji Quzong Yi Li Yanyun Ma Meng Hao WeiLin Pu Xiaoyu Liu Hongjun Xie Meng Liang Jiucun Wang Qiangba Danzeng | 2021 | Journal of Genetics and Genomics2021，48，10： | 2 |
| 9 | Testing the chirality of b to u current with B0 to rho-l+nu显示文摘 | Yang Yadong Hao Hongjun Su Fang | 2005 | Phys Lett2005，618，： | 1 |
| 10 | Comparative Proteomic Analysis of Cucumber Fruits Under Nitrogen Deficiency At the Fruiting Stage显示文摘Nitrogen deficiency is a major factor that affects the yield and quality of horticultural crops.Differentially expressed proteins were identified in cucumber fruit under nitrogen deficiency treatment,and are expected to be highly useful for dissecting carbon,nitrogen and ascorbate metabolism in cucumber and for improving nitrogen fertilizer utilization.Cucumber plants grown hydroponically in Hoagland solution were transferred to nitrogen-free conditions for 3 or 5 d after the blossom of female flowers.Fruit proteome profiles were assessed using twodimensional electrophoresis.The relative expression of the genes encoding 50 selected differentially expressed proteins and 4 key enzymes in carbon metabolism was analyzed by qRT-PCR.Resulted showed that most of the identified differentially expressed proteins were mainly associated with carbon metabolism,amino acid biosynthesis,ascorbate metabolism,and proteasomes.Glucose phosphorylation was enhanced,while the pentose phosphate pathway was inhibited.Carbon metabolism and the synthesis of most amino acids was affected significantly,and ascorbate might be accumulated under nitrogen deficiency in cucumber fruit. | Jia Hao Qiang Li Hongjun Yu Heng Wang Lin Chai Tiantian Miao Weijie Jiang | 2021 | Horticultural Plant Journal2021，7，1： | 0 |
| 11 | Bi-level Multi-leader Multi-follower Stackelberg Game Model for Multi-energy Retail Package Optimization显示文摘In the competitive energy market,energy retailers are facing the uncertainties of both energy price and demand,which requires them to formulate reasonable energy purchasing and selling strategies for improving their competitiveness in this market.Particularly,the attractive multi-energy retail packages are the key for retailers to increase their benefit.Therefore,combined with incentive means and price signals,five types of multi-energy retail packages such as peak-valley time-of-use(TOU)price package and day-night bundled price package are designed in this paper for retailers.The iterative interactions between retailers and end-users are modeled using a bi-level model of stochastic optimization based on multi-leader multi-follower(MLMF)Stackelberg game,in which retailers are leaders and end-users are followers.Retailers make decisions to maximize the profit considering the conditional value at risk(CVaR)while end-users optimize the satisfaction of both energy comfort and economy.Besides,a distributed algorithm is proposed to obtain the Nash equilibrium of above MLMF Stackelberg game model while the particle swarm optimization(PSO)algorithm and CPLEX solver are applied to solve the optimization model for each participant(retailer or end-user).Numeral results show that the designed retail packages can increase the overall profit of retailers,and the overall satisfaction of industrial users is the highest while that of residential users is the lowest after game interaction. | Hongjun Gao Hongjin Pan Rui An Hao Xiao Yanhong Yang Shuaijia He Junyong Liu | 2024 | Journal of Modern Power Systems and Clean Energy2024，12，1： | 0 |
| 12 | Research on Network Cognition Model and Mechanism of Intelligent Information Network显示文摘Intellectualization has been an inevitable trend in the information network,allowing the network to achieve the capabilities of self-learning,self-optimization,and self-evolution in the dynamic environment.Due to the strong adaptability to the environment,the cognitive theory methods from psychology gradually become an excellent approach to construct the intelligent information network(IIN),making the traditional definition of the intelligent information network no longer appropriate.Moreover,the thinking capability of existing IINs is always limited.This paper redefines the intelligent information network and illustrates the required properties of the architecture,core theory,and critical technologies by analyzing the existing intelligent information network.Besides,we innovatively propose a novel network cognition model with the network knowledge to implement the intelligent information network.The proposed model can perceive the overall environment data of the network and extract the knowledge from the data.As the model’s core,the knowledge guides the model to generate the optimal decisions adapting to the environmental changes.At last,we present the critical technologies needed to accomplish the proposed network cognition model. | Nannan Dong Hao Yin Baoquan Ren Hongjun Li Xiangwu Gong Xudong Zhong Junmei Han Jiazheng Lyu | 2023 | China Communications2023，20，2： | 0 |
| 13 | Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design显示文摘Genomic prediction(GP)in plant breeding has the potential to predict and identify the best-performing hybrids based on the genotypes of their parental lines.In a GP experiment,34 elite inbred lines were selected to make 285 single-cross hybrids in a partial-diallel cross design.These lines represented a mini-core collection of Chinese maize germplasm and comprised 18 inbred lines from the Stiff Stalk heterotic group and 16 inbred lines from the Non-Stiff Stalk heterotic group.The parents were genotyped by sequencing and the 285 hybrids were phenotyped for nine yield and yield-related traits at two locations in the summer sowing area(SUS)and three locations in the spring sowing area(SPS)in the main maizeproducing regions of China.Multiple GP models were employed to assess the accuracy of trait prediction in the hybrids.By ten-fold cross-validation,the prediction accuracies of yield performance of the hybrids estimated by the genomic best linear unbiased prediction(GBLUP)model in SUS and SPS were 0.51 and 0.46,respectively.The prediction accuracies of the remaining yield-related traits estimated with GBLUP ranged from 0.49 to 0.86 and from 0.53 to 0.89 in SUS and SPS,respectively.When additive,dominance,epistasis effects,genotype-by-environment interaction,and multi-trait effects were incorporated into the prediction model,the prediction accuracy of hybrid yield performance was improved.The ratio of training to testing population and size of training population optimal for yield prediction were determined.Multiple prediction models can improve prediction accuracy in hybrid breeding. | Ping Luo Houwen Wang Zhiyong Ni Ruisi Yang Fei Wang Hongjun Yong Lin Zhang Zhiqiang Zhou Wei Song Mingshun Li Jie Yang Jianfeng Weng Zhaodong Meng Degui Zhang Jienan Han Yong Chen Runze Zhang Liwei Wang Meng Zhao Wenwei Gao Xiaoyu Chen Wenjie Li Zhuanfang Hao Junjie Fu Xuecai Zhang Xinhai Li | 2023 | The Crop Journal2023，11，6： | 0 |
| 14 | Multi-spherical interactions and mechanisms of hydrocarbon enrichment in the Southeast Asian archipelagic tectonic system显示文摘Global cooling began since 50 Ma,but a warm climate was maintained in the archipelagic tectonic system in Southeast Asia where a wealth of Cenozoic oil and gas resources was formed and preserved.From the perspective of Earth system,this study analyzes Cenozoic tectonic activities,climatic and environmental evolution,and petroleum enrichment in Southeast Asia,and provides the following insights:(1)Subduction of oceanic plates and the extension of overlying continental lithosphere resulted in widespread volcanic eruptions as well as the formation of rift basins and shallow marine shelves,leading to complex interactions between deep tectonic processes and Earth’s surface including mountains,basins,and seas.(2)Microcontinental accretion and prolonged stay in equatorial low-latitude regions have changed trade winds into monsoons,altered ocean current pathways and flow rates,and profoundly affected rainfall and climate.(3)The archipelagic tectonic system,coupled with a hot and rainy climate,fostered tropical rainforests,mangroves,and phytoplankton,providing abundant organic matter and promoting the development of petroleum resources.(4)Combinations of rift basin development and marine transgression and regression led to an effective superposition of source-reservoir-seal combinations from multiplepetroleum systems.Rapid deep burial of organic matter and high geothermal gradients facilitated the generation and large-scale accumulation of oil and gas.(5)Multi-spherical(such as atmosphere,biosphere,hydrosphere and lithosphere)interactions on the Earth,which resulted from the convergence of multiple tectonic plates,are believed as the primary driver for exceptional enrichments of Cenozoic oil and gas resources in Southeast Asia.These understandings are significant for developing theories of oil and gas enrichment under the guidance of Earth System Science.In order to continue making significant oil and gas exploration discoveries in the deep-layers,deep-waters,and unconventional oil and gas fields of Southeast Asia,attention should be paid to the oil and gas resource effects of the collision between Australia and Sunda blocks and the high-temperature and high-rainfall climate environment,and efforts should be made to develop economic development and CO_(2)sequestration technologies for offshore CO_(2)-rich gas fields. | Rixiang ZHU Hongjun WANG Huajian WANG Xiaomei WANG Bo WAN Wang ZHANG Houqin ZHU Yuke LIU Junlai LIU Qingren MENG Fang HAO Zhijun JIN | 2024 | Science China Earth Sciences2024，67，2： | 0 |
| 15 | A supersaturated Cu-Ag nanoalloy joint with ultrahigh shear strength and ultrafine nanoprecipitates for power electronic packaging显示文摘Ag-Cu bimetallic nanoalloy,integrating the advantages of reducing migration and cost of nano-Ag and alleviating oxidation of nano-Cu,is a prospective bonding material for power electronic packaging.The Ag-coated Cu nanoparticles(Cu@Ag NPs)paste can execute bonding with high quality at 250℃,and the achieved supersaturated Ag-Cu nanoalloy joint with ultrahigh shear strength(152 MPa)dramatically exceeds most nano-paste joints.The interstitial solid solutions with atomic-level metallurgical bonds at the interface dominantly promoted the shear strength.Besides,the numerous ultrafine nanograin,high proportion of low angle grain boundaries(7.44%)without deformation,and the Cu nanoprecipitates in the joint would improve subordinately.Furthermore,the high content(16.8%)of∑3 twin boundaries would contribute to the electrical and thermal conductivity.Thus,the multiple strengthening mechanisms with the solid solution,the second precipitated phase,and ultrafine nanograin can dramatically enhance shear strength and electro-thermal conductivity of joints for high-temperature device packaging. | Wenwu Zhang Penghao Zhang Dashi Lu Hao Pan Xiangli Liu Chengyan Xu Jun Wei Mingyu Li Hongjun Ji | 2023 | Journal of Materials Science & Technology2023，，14： | 0 |
| 16 | Deep Learning and Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications显示文摘The study delves into the expanding role of network platforms in our daily lives, encompassing various mediums like blogs, forums, online chats, and prominent social media platforms such as Facebook, Twitter, and Instagram. While these platforms offer avenues for self-expression and community support, they concurrently harbor negative impacts, fostering antisocial behaviors like phishing, impersonation, hate speech, cyberbullying, cyberstalking, cyberterrorism, fake news propagation, spamming, and fraud. Notably, individuals also leverage these platforms to connect with authorities and seek aid during disasters. The overarching objective of this research is to address the dual nature of network platforms by proposing innovative methodologies aimed at enhancing their positive aspects and mitigating their negative repercussions. To achieve this, the study introduces a weight learning method grounded in multi-linear attribute ranking. This approach serves to evaluate the significance of attribute combinations across all feature spaces. Additionally, a novel clustering method based on tensors is proposed to elevate the quality of clustering while effectively distinguishing selected features. The methodology incorporates a weighted average similarity matrix and optionally integrates weighted Euclidean distance, contributing to a more nuanced understanding of attribute importance. The analysis of the proposed methods yields significant findings. The weight learning method proves instrumental in discerning the importance of attribute combinations, shedding light on key aspects within feature spaces. Simultaneously, the clustering method based on tensors exhibits improved efficacy in enhancing clustering quality and feature distinction. This not only advances our understanding of attribute importance but also paves the way for more nuanced data analysis methodologies. In conclusion, this research underscores the pivotal role of network platforms in contemporary society, emphasizing their potential for both positive contributions and adverse consequences. The proposed methodologies offer novel approaches to address these dualities, providing a foundation for future research and practical applications. Ultimately, this study contributes to the ongoing discourse on optimizing the utility of network platforms while minimizing their negative impacts. | Hongjun Zhang Hao Zhang Yu Lei Hao Ye Peng Li Desheng Shi | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
| 17 | A differentially methylated region of the ZmCCT10 promoter affects flowering time in hybrid maize显示文摘Flowering time(FT) is a key maize domestication trait, variation in which allows maize to grow in a wide range of latitudes. Although previous studies have investigated the genetic control of FT-related traits per se, few studies of FT hybrid performance have been published. We characterized the genomic architecture associated with hybrid performance for FT in a hybrid panel by testcrossing Chang 7–2 with 328Ye478 × Qi319 recombinant inbred lines(RILs). We identified 11 quantitative trait loci(QTL) for hybrid performance in FT-related traits, including a major QTL qFH10 that controls hybrid performance and heterosis in a summer maize-growing region. However, this locus acts in regulating FT traits per se only in a spring maize-growing region. We validated ZmCCT10 as a candidate gene for qFH10 and found that differences between hybrids and their parental lines in DNA methylation in the differentially methylated region(DMR, –700 to –1520) of the ZmCCT10 promoter affected gene expression pattern and thereby FT in the summer maize-growing region. | Zhiqiang Zhou Xin Lu Chaoshu Zhang Mingshun Li Zhuanfang Hao Degui Zhang Hongjun Yong Jienan Han Xinhai Li Jianfeng Weng | 2023 | The Crop Journal2023，11，5： | 0 |
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