|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | BpMADS12 gene role in lignin biosynthesis of Betula platyphylla Suk by transcriptome analysis显示文摘MADS-box transcription factors show highly diverse regulatory functions in a wide variety of organisms.In this study,we characterized a MADS-box gene(BpMADS12) from the white birch(Betula platyphylla Suk).This gene is a member of the suppressor of overexpression of CO 1/tomato MADS 3 class of MADS-box genes.We generated lines overexpressing BpMADS12 and found that these had higher levels of lignin compared to that observed in nontransgenic lines.Transcriptome analysis revealed numerous changes in gene expression patterns.In total,8794 differentially expressed genes were identified,including 5006 upregulated unigenes and 3788 downregulated unigenes in Bp MADS-overexpression lines.Differentially expressed genes involved in the pathways for lignin and brassinosteroid biosynthesis were significantly enriched and may have contributed to phenotypic changes.The results from a quantitative RT-PCR analysis were consistent those obtained with the transcriptome analysis.Our transcriptome analysis,in combination with measurement of lignin level,indicated that Bp MADS12 promotes lignin synthesis through regulation of key enzymes in response to brassinosteroid signaling.These results suggest that this MADS-box protein is crucial to all subsequent structural events and provide a good foundation for studies aiming to elucidate the developmental mechanisms underlying formation of wood. | Huiyu Li Yang Yang Zijia Wang Xiaohong Guo Feifei Liu Jing Jiang Guifeng Liu | 2016 | Journal of Forestry Research2016，27，5： | 4 |
| 2 | Involvement of long non-coding RNAs in the progression of esophageal cancer显示文摘Esophageal cancer(EC)is one of the most common malignant tumors of the digestive system with high incidence and mortality rate worldwide.Therefore,exploring the pathogenesis of ECand searching for new targeted therapies are the current research hotspot for EC treatment.Long non-coding RNAs(lncRNAs)are endogenous RNAs with more than 200 nucleotides,but without proteincoding function.In recent years,lncRNAs have gradually become the focuses in the field of non-coding RNA.Some lncRNAs have been proved to be closely related to the pathogenesis of EC.Many lncRNAs are abnormally expressed in EC and participate in many biological processes including cell proliferation,apoptosis,and metastasis by inhibiting or promoting target gene expression.LncRNAs can also regulate the progression of EC through epithelial-mesenchymal transformation(EMT),which is closely related to the occurrence,development,and prognosis of EC.In this article,we review and discuss the involvement of lncRNAs in the progression of EC. | Wenhua Xue Yuanyuan Zheng Zhibo Shen Lifeng Li Zhirui Fan Wenbin Wang Zijia Zhu Yunkai Zhai Jie Zhao Quancheng Kan | 2021 | Cancer Communications2021，41，5： | 4 |
| 3 | Rational structure design to realize high-performance SiOx@C anode material for lithium ion batteries显示文摘Silicon suboxide(SiOx)is considered to be one of the most promising materials for next-generation anode due to its high energy density.For its preparation,the wet-chemistry method is a cost-effective and readily scalable route,while the so-derived SiOx usually shows lower capacity compared with that prepared by high temperature-vacuum evaporation route.Herein,we present an elaborate particle structure design to realize the wet-chemistry preparation of a high-performance SiOx/C nanocomposite.Dandelion-like highly porous SiOx particle coated with conformal carbon layer is designed and prepared.The highly-porous SiOx skeleton provides plenty specific surface for intimate contact with carbon layer to allow a deep reduction of SiOx to a low O/Si ratio at relatively low temperature(700℃),enabling a high specific capacity.The abundant mesoscale voids effectively accommodate the volume variation of SiOx skeleton,ensuring the high structural stability of SiOx@C during lithiation/delithiation process.Meanwhile,the three-dimensional(3D)conformal carbon layer provides a fast electron/ion transportation,allowing an enhanced electrodereaction kinetics.Owing to the optimized O/Si ratio and well-engineered structure,the prepared SiOx@C electrode delivers an ultra-high capacity(1,115.8 mAh·g^-1 at 0.1 A·g^-1 after 200 cycles)and ultra-long lifespan(635 mAh·g^-1 at 2 A·g^-l after 1,000 cycles).To the best of our knowledge,the achieved combination of ultra-high specific capacity and ultra-long cycling life is unprecedented. | Zhaolin Li Hailei Zhao Jie Wang Tianhou Zhang Boyang Fu Zijia Zhang Xin Tao | 2020 | Nano Research2020，13，2： | 3 |
| 4 | Surface clogging process modeling of suspended solids during urban stormwater aquifer recharge显示文摘Aquifer recharge,which uses urban stormwater,is an effective technique to control the negative effects of groundwater overexploitation,while clogging problems in infiltration systems remain the key restricting factor in broadening its practice.Quantitative understanding of the clogging process is still very poor.A laboratory study was conducted to understand surface physical clogging processes,with the primary aim of developing a model for predicting suspended solid clogging processes before aquifer recharge projects start.The experiments investigated the clogging characteristics of different suspended solid sizes in recharge water by using a series of one-dimensional fine quartz sand columns.The results showed that the smaller the suspended particles in recharge water,the farther the distance of movement and the larger the scope of clogging in porous media.Clogging extents in fine sand were 1 cm,for suspended particle size ranging from 0.075 to 0.0385 mm,and 2 cm,for particles less than 0.0385 mm.In addition,clogging development occurred more rapidly for smaller suspended solid particles.It took 48,42,and 36 hr respectively,for large-,medium-,and small-sized particles to reach pre-determined clogging standards.An empirical formula and iteration model for the surface clogging evolution process were derived.The verification results obtained from stormwater recharge into fine sand demonstrated that the model could reflect the real laws of the surface clogging process. | Zijia Wang Xinqiang Du Yuesuo Yang Xueyan Ye | 2012 | Journal of Environmental Sciences2012，24，8： | 2 |
| 5 | Structural Comparison and Drug Screening of Spike Proteins of Ten SARS-CoV-2 Variants显示文摘SARS-CoV-2(severe acute respiratory syndrome coronavirus 2)has evolved many variants with stronger infectivity and immune evasion than the original strain,including Alpha,Beta,Gamma,Delta,Epsilon,Kappa,lota,Lambda,and 21H strains.Amino acid mutations are enriched in the spike protein of SARS CoV-2.which plays a crucial role in cell infetion.However,the impact of these mutations on protein structure and function is unclear.Understanding the pathophysiology and pandemic feaures of these SARS-CoV-2 variants requires knowledge of the spike protein structures.Here,we obtained the spike protein structures of 10 main globally endemic SARS CoV-2 strains using AlphaFold2.The clustering analysis based on structural similarity revealed the unique features of the mainly pandemic SARS CoV-2 Delta variants.indicating that structural clusters can reflect the current characteristics of the epidemic more accurately than those based on the protein sequence.The analysis of the binding afinities of ACE2-RBD,antibody-NTD,and antibody-RBD complexes in the different variants revealed that the recognition of antibodies against SI NTD and RBD was decreased in the variants,especally the Delta variant compared with the original strain,which may induce the immune evasion of SARS-CoV-2 variants.Furthermore,by virtual screening the ZINC database against a high-accuracy predicted structure of Delta spike protein and experimental validation,we identified multiple compounds that target S1 NTD and RBD,which might contribute towards the development of clinical anti-SARS-CoV-2 medicines.Our findings provided a basic foundation for future in vitro and in vivo investigations that might speed up the development of potential therapies for the SARS-CoV-2 va riants. | Qiangzhen Yang Xuemin Jian Ali Alamdar Shah Syed Aamir Fahira Chenxiang Zheng zijia Zhu Ke Wang Jinmai Zhang Yangin Wen Zhiqiang Li Dun Pan Tingting Lu Zhuo Wang Yongyong Shi | 2022 | Research2022，，2： | 2 |
| 6 | Antioxidant phenolic compounds from walnut kernels ( Juglans regia L.)显示文摘 | Zijia Zhang Liping Liao Jeffrey Moore Tao Wu Zhengtao Wang | 2008 | Food Chemistry2008，，1： | 1 |
| 7 | Isolation of antioxidants from Psoralea corylifolia fruits using high-speed counter-current chromatography guided by thin layer chromatography-antioxidant autographic assay显示文摘 | Guodong Xiao Guowen Li Liang Chen Zijia Zhang Jun-Jie Yin Tao Wu Zhihong Cheng Xiaohui Wei Zhengtao Wang | 2010 | Journal of Chromatography A2010，，34： | 1 |
| 8 | Theoretical investigation on self-recovery regulation method for diesel engine misalignment through co-simulation显示文摘Misalignment is one of the most common faults for the diesel engine.In order to eliminate the misalignment fault of the diesel engine in the process of operation,a targeting self-recovery regulation system is constructed by using a movable base and displacement sensors.Misalignment is monitored and detected in real time,the value of misalignment is calculated rapidly and accurately,andintelligent decision is made.Then,the base is moved reversely with a definite target to drive the shaft to translate or rotate,so that the shafts can be recovered to alignment online.A co-simulation model for the self-recovery system is established which consists of a dynamic model of the crankshaft system and control model.The self-recovery regulation process of misalignment is simulated.The simulation results show that the system can accurately calculate the misalignment values,with an error of less than 5%,and can automatically eliminate the misalignment fault of the diesel engine online.The research results provide theoretical support for the self-recovery regulation of misalignment fault,and due to the universality of structure and principle,the self-recovery system is not only suitable for diesel engine,but also for other rotating machineries. | 江志农 Wang Zijia Mao Zhiwei Zhang Jinjie Wang Chenguang Huang Yifei | 2021 | High Technology Letters2021，27，3： | 0 |
| 9 | Research on full-period acquisition method for diesel engine based on self-adaptive correlation analysis显示文摘Full-period signal acquisition of vibration signal plays a vital role in the health monitoring and fault diagnosis of modern industrial equipment group. The traditional full-period signal acquisition methods usually need not only a reference signal generated from special key phase device but also a reserved position, which is only suitable for a small number of particular equipment. A novel full-period signal acquisition method without key phase is proposed to construct the time-frequency method with strong energy concentration called the synchrosqueezing generalized S-Transform(SGST), combining together the Teager energy operator(TEO) and self-adaptive correlation analysis(SACA) based on the vibration signals of both gear and cylinder head. Actual vibration signals of diesel engine are employed to verify the feasibility and effectiveness of the proposed method by comparing with traditional method with special key phase device. By comparisons, the results show that full-period signal acquisition method without key phase has approximate accuracy for diesel engine under different working conditions. | 赵海朋 Mao Zhiwei Zhang Jinjie Lai Yuehua Wang Zijia Jiang Zhinong | 2020 | High Technology Letters2020，26，3： | 0 |
| 10 | Towards extreme fast charging of 4.6 V LiCoO_(2) via mitigating high-voltage kinetic hindrance显示文摘High-voltage LiCoO_(2)(LCO) is an attractive cathode for ultra-high energy density lithium-ion batteries(LIBs) in the 3 C markets.However,the sluggish lithium-ion diffusion at high voltage significantly hampers its rate capability.Herein,combining experiments with density functional theory(DFT) calculations,we demonstrate that the kinetic limitations can be mitigated by a facial Mg^(2+)+Gd^(3+)co-doping method.The as-prepared LCO shows significantly enhanced Li-ion diffusion mobility at high voltage,making more homogenous Li-ion de/intercalation at a high-rate charge/discharge process.The homogeneity enables the structural stability of LCO at a high-rate current density,inhibiting stress accumulation and irreversible phase transition.When used in combination with a Li metal anode,the doped LCO shows an extreme fast charging(XFC) capability,with a superior high capacity of 193.1 mAh g^(-1)even at the current density of 20 C and high-rate capacity retention of 91.3% after 100 cycles at 5 C.This work provides a new insight to prepare XFC high-voltage LCO cathode materials. | Yu Tang Jun Zhao He Zhu Jincan Ren Wei Wang Yongjin Fang Zhiyong Huang Zijia Yin Yalan Huang Binghao Zhang Tingting Yang Tianyi Li Leighanne CGallington Si Lan Yang Ren Qi Liu | 2023 | Journal of Energy Chemistry2023，，3： | 0 |
| 11 | Scalable and Robust Bio-inspired Organogel Coating by Spraying Method Towards Dynamic Anti-scaling显示文摘Scaling usually causes serious problems in daily life and industrial production.Currently,developing passive anti-scaling coatings has shown promises to overcome this problem.In this work,we fabricated a scalable and robust bio-inspired organogel(BIO)coating,showing dynamic scale resistance in the oil/brine mixture.The oil layer of the BIO coating was utilized as a barrier to inhibit scale nucleation and reduce scale adhesion.The mechanical strength of the coating was optimized by regulating nanoparticle contents.Moreover,the universality of scale resistance was demonstrated by varying the types of nanoparticles,oils and scales.Compared with commercial pipeline materials,such as copper,this BIO coating significantly reduces scale deposition after 240-h scaling test(ca.93%reduction).Therefore,this study designs scalable and robust organogel coatings for sustainable scale resistance,which may be used for practical application in oil production. | ZANG Ruhua CHEN Zijia YANG Hui WANG Yixuan WANG Shutao MENG Jingxin | 2023 | Chemical Research in Chinese Universities2023，39，1： | 0 |
| 12 | Disturbance-level-dependent post-disturbance succession in a Eurasian steppe显示文摘Anthropogenic disturbances may decrease as we take measures to control them.However,the patterns and mechanisms of postdisturbance ecosystem succession have rarely been studied.Here we reported that disturbance level determined the importance of stochastic relative to deterministic changes in ecosystem components(plant community composition,soil microbial community composition,and soil physicochemical indices),and thus predefined the pattern of post-disturbance ecosystem succession.We proposed a theoretical framework with five disturbance levels corresponding to distinct succession patterns.We conducted a nitrogen addition experiment in a temperate steppe,monitored these ecosystem components during'disturbance'treatment(2010-2014)and post-treatment'succession'(2014-2018).The disturbance level experienced by each component in each treatment was inferred by fitting the observed succession patterns into the theoretical framework.The mean disturbance level of these components was found to increase quadratically with nitrogen addition rate.This was because increasing nitrogen addition reduced the importance of stochastic relative to deterministic changes in these components,and these changes had a quadratic relationship with disturbance level.Overall,our results suggested that by monitoring the importance of stochastic relative to deterministic changes in an ecosystem,we can estimate disturbance levels and predict succession patterns,as well as propose disturbance-level-dependent strategies for post-disturbance restoration. | Junjie Yang Minjie Xu Shuang Pang Lili Gao Zijia Zhang Zhiping Wang Yunhai Zhang Xingguo Han Ximei Zhang | 2022 | Science China(Life Sciences)2022，65，1： | 0 |
| 13 | Phytic acid-derived fabrication of ultra-small MoP nanoparticles for efficient CO methanation: Effects of P/Mo ratios显示文摘Molybdenum phosphide(MoP) catalyst has been widely applied in hydrogenation reactions, while the preparation of unsupported MoP catalysts with ultra-small size and large specific surface area(SBET) is still challenging. Herein, we have provided a facile method for preparing a series of MoP-x(x=P/Mo ratios ranging from 1 to 5) catalysts by pyrolyzing phytic acid(PA)-derived Mo complexes in a H2 atmosphere. The physicochemical properties and the catalytic activity of MoP catalysts were investigated. The results showed that the obtained MoP-5 catalyst had the largest SBETand exhibited ultra-small nanoparticle diameter of 3.6 nm, which ascribed to the chelation of PA and the confinement of deposited products.As the content of PA increased, the synthetic mechanism of MoP was also affected, which led to the difference in the valence of surface Mo species. The characterization results further confirmed that Moδ+ sites in MoP catalysts are active sites for methanation reaction and its content on the surface of MoP-x catalysts determines the catalytic activity. | Jun Zhao Zijia Yin Baowei Wang Zhenhua Li Yan Xu Xinbin Ma | 2020 | Journal of Energy Chemistry2020，29，8： | 0 |
| 14 | Simulation analysis of wear characteristics of connecting rod bearing bush based on improved mixed lubrication model显示文摘The failure rate of crankpin bearing bush of diesel engine under complex working conditions such as high temperature,dynamic load and variable speed is high.After serious wear,it is easy to deteriorate the stress state of connecting rod body and connecting rod bolt,resulting in serious accidents such as connecting rod fracture and body damage.Based on the mixed lubrication characteristics of connecting rod big endbearing shell of diesel engine under high explosion pressure impact load,an improved mixed lubrication mechanism model is established,which considers the influence of viscoelastic micro deformation of bearing bush material,integrates the full film lubrication model and dry friction model,couples dynamic equation of connecting rod.Then the actual lubrication state of big end bearing shell is simulated numerically.Further,the correctness of the theoretical research results is verified by fault simulation experiments.The results show that the high-frequency impact signal with fixed angle domain characteristics will be generated after the serious wear of bearing bush and the deterioration of lubrication state.The fault feature capture and alarm can be realized through the condition monitoring system,which can be applied to the fault monitoring of connecting rod bearing bush of diesel engine in the future. | 高云端 WANG Zijia TIAN Ye HUANG Yan ZHANG Jinjie | 2023 | High Technology Letters2023，29，1： | 0 |
| 15 | A new denoising method for photon-counting LiDAR data with different surface types and observation conditions显示文摘Spaceborne photon-counting LiDAR is significantly affected by noise,and existing denoising algorithms cannot be universally adapted to different surface types and topographies under all observation conditions.Accordingly,a new denoising method is presented to extract signal photons adaptively.The method includes two steps.First,the local neighborhood radius is calculated according to photons’density,then thefirst-step denoising process is completed via photons’curvature feature based on KNN search and covariance matrix.Second,the local photonfiltering direction and threshold are obtained based on thefirst-step denoising results by RANSAC and elevation frequency histogram,and the local dense noise photons that thefirst-step cannot be identified are further eliminated.The following results are drawn:(1)experimental results on MATLAS with different topographies indicate that the average accuracy of second-step denoising exceeds 0.94,and the accuracy is effectively improves with the number of denoising times;(2)experiments on ICESat-2 under different observation conditions demonstrate that the algorithm can accurately identify signal photons in different surface types and topographies.Overall,the proposed algorithm has good adaptability and robustness for adaptive denoising of large-scale photons,and the denoising results can provide more reasonable and reliable data for sustainable urban development. | Jieying Lao Cheng Wang Sheng Nie Xiaohuan Xi Hui Long Baokun Feng Zijia Wang | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 16 | Decision-Making Models Based on Meta-Reinforcement Learning for Intelligent Vehicles at Urban Intersections显示文摘Behavioral decision-making at urban intersections is one of the primary difficulties currently impeding the development of intelligent vehicle technology.The problem is that existing decision-making algorithms cannot effectively deal with complex random scenarios at urban intersections.To deal with this,a deep deterministic policy gradient(DDPG)decision-making algorithm(T-DDPG)based on a time-series Markov decision process(T-MDP)was developed,where the state was extended to collect observations from several consecutive frames.Experiments found that T-DDPG performed better in terms of convergence and generalizability in complex intersection scenarios than a traditional DDPG algorithm.Furthermore,model-agnostic meta-learning(MAML)was incorporated into the T-DDPG algorithm to improve the training method,leading to a decision algorithm(T-MAML-DDPG)based on a secondary gradient.Simulation experiments of intersection scenarios were carried out on the Gym-Carla platform to verify and compare the decision models.The results showed that T-MAML-DDPG was able to easily deal with the random states of complex intersection scenarios,which could improve traffic safety and efficiency.The above decision-making models based on meta-reinforcement learning are significant for enhancing the decision-making ability of intelligent vehicles at urban intersections. | Xuemei Chen Jiahe Liu Zijia Wang Xintong Han Yufan Sun Xuelong Zheng | 2022 | Journal of Beijing Institute of Technology2022，31，4： | 0 |
| 17 | Optimal Location and Sizing ofMulti-Resource Distributed Generator Based onMulti-Objective Artificial Bee Colony Algorithm显示文摘Distribution generation(DG)technology based on a variety of renewable energy technologies has developed rapidly.A large number of multi-type DG are connected to the distribution network(DN),resulting in a decline in the stability of DN operation.It is urgent to find a method that can effectively connect multi-energy DG to DN.photovoltaic(PV),wind power generation(WPG),fuel cell(FC),and micro gas turbine(MGT)are considered in this paper.A multi-objective optimization model was established based on the life cycle cost(LCC)of DG,voltage quality,voltage fluctuation,system network loss,power deviation of the tie-line,DG pollution emission index,and meteorological index weight of DN.Multi-objective artificial bee colony algorithm(MOABC)was used to determine the optimal location and capacity of the four kinds of DG access DN,and compared with the other three heuristic algorithms.Simulation tests based on IEEE 33 test node and IEEE 69 test node show that in IEEE 33 test node,the total voltage deviation,voltage fluctuation,and system network loss of DN decreased by 49.67%,7.47%and 48.12%,respectively,compared with that without DG configuration.In the IEEE 69 test node,the total voltage deviation,voltage fluctuation and system network loss of DN in the MOABC configuration scheme decreased by 54.98%,35.93%and 75.17%,respectively,compared with that without DG configuration,indicating that MOABC can reasonably plan the capacity and location of DG.Achieve the maximum trade-off between DG economy and DN operation stability. | Qiangfei Cao Huilai Wang Zijia Hui Lingyun Chen | 2024 | Energy Engineering2024，121，2： | 0 |
| 18 | Chaos Raman distributed optical fiber sensing显示文摘The physics principle of pulse flight positioning is the main theoretical bottleneck that restricts the spatial resolution of the existing Raman distributed optical fiber sensing scheme.Owing to the pulse width of tens of nanoseconds,the spatial resolution of the existing Raman distributed optical fiber sensing scheme with kilometer-level sensing distance is limited to the meter level,which seriously restricts the development of the optical time-domain reflection system.In this paper,a chaos laser is proposed in the context of the physical principle of the Raman scattering effect,and a novel theory of chaos Raman distributed optical fiber sensing scheme is presented.The scheme reveals the characteristics of chaos Raman scattering light excited by a chaotic signal on the sensing fiber.Further,the chaos time-domain compression demodulation mechanism between the temperature variation information and chaos correlation peak is demonstrated.Then,the position of the temperature variation signal is precisely located using the delay time of the chaos correlation peak combined with the chaos pulse flight time.Based on this novel optical sensing mechanism,an experiment with 10 cm spatial resolution and 1.4 km sensing distance was conducted,and the spatial resolution was found to be independent of the sensing distance.Within the limit of the existing spatial resolution theory,the spatial resolution of the proposed scheme is 50 times higher than that of the traditional scheme.The scheme also provides a new research direction for optical chaos and optical fiber sensing. | Chenyi Wang Jian Li Xinxin Zhou Zijia Cheng Lijun Qiao Xiaohui Xue Mingjiang Zhang | 2023 | Light(Science & Applications)2023，12，10： | 0 |
| 19 | Targeted trace ingredients coupled with chemometric analysis for consistency evaluation of Panax notoginseng saponins injectable formulations显示文摘Evaluating the consistency of herb injectable formulations could improve their product quality and clinical safety,particularly concerning the composition and content levels of trace ingredients.Panax notoginseng Saponins Injection(PNSI),widely used in China for treating acute cardiovascular diseases,contains low-abundance(10%-25%)and trace saponins in addition to its five main constituents(notoginsenoside R1,ginsenoside Rg1,ginsenoside Re,ginsenoside Rb1,and ginsenoside Rd).This study aimed to establish a robust analytical method and assess the variability in trace saponin levels within PNSI from different vendors and formulation types.To achieve this,a liquid chromatography-triple quadrupole mass spectrometry(LC-MS/MS)method employing multiple ions monitoring(MIM)was developed.A“post-column valve switching”strategy was implemented to eliminate highly abundant peaks(NR_(1),Rg_(1),and Re)at 26 min.A total of 51 saponins in PNSI were quantified or relatively quantified using 18 saponin standards,with digoxin as the internal standard.This study evaluated 119 batches of PNSI from seven vendors,revealing significant variability in trace saponin levels among different vendors and formulation types.These findings highlight the importance of consistent content in low-abundance and trace saponins to ensure product control and clinical safety.Standardization of these ingredients is crucial for maintaining the quality and effectiveness of PNSI in treating acute cardiovascular diseases. | ZHANG Jingxian ZHANG Zijia WANG Zhaojun ZHANG Tengqian ZHOU Yang CHEN Ming HUANG Zhanwen HE Qingqing LONG Huali HOU Jinjun WU Wanying GUO Dean | 2023 | Chinese Journal of Natural Medicines2023，21，8： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员