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| 1 | Understanding the structure–performance relationship of active sites at atomic scale显示文摘Metal-based atomically dispersed catalysts have attracted more attention because of their excellent catalytic performance and nearly 100%atom utilization.Therefore,it is very important to comprehensively and systematically understand the relationship between catalytic active sites and catalytic performance at atomic scale.Here,we discuss and summarize in detail the key and fundamental factors affecting the active site,and relate them to the catalytic performance.First,we describe the effectiveness of active site design by coordination effects.Then,the role of chemical bonds in the active sites in changing the reaction performance is discussed.In addition,for intermetallic compounds,we explore how the spacing of active atoms affects the catalytic behavior.Moreover,the importance of synergistic effect in catalyst design is further discussed.Finally,the key parameters affecting the catalytic performance at atomic scale are summarized,and the main challenges and development prospects of atomic catalysts in the future are put forward. | Runze Li Dingsheng Wang | 2022 | Nano Research2022，15，8： | 13 |
| 2 | Milling surface roughness for 7050 aluminum alloy cavity influenced by nozzle position of nanofluid minimum quantity lubrication显示文摘In nanofluid minimum quantity lubrication(NMQL)milling of aviation aluminum alloy,it is the bottleneck problem to adjust the position parameters(target distance,incidence angle,and elevation angle)of the nozzle to improve the surface roughness of milling,which has large and uncontrollable errors.In this paper,the influence law of milling cutter speed,helical angle,and cavity shape on the flow field around the milling cutter was studied,and the optimal nozzle profile parameters were obtained.Using 7050 aluminum alloy as the workpiece material,the milling experiment of the NMQL cavity was conducted by utilizing cottonseed oil-based Al2 O3 nanofluid.Results show that the high velocity of the surrounding air flow field and the strong gas barrier could be attributed to high rotating velocities of the milling cutter.The incidence angle of the nozzle was consistent with the helical angle of the milling cutter,the target distance was appropriate at 25–30 mm,and the elevation angle was suitable at 60°–65°.The range and variance analyses of the signal-to-noise ratio of milling force and roughness were performed,and the chip morphology was observed and analyzed.The results show that the optimal combination of nozzle position parameters was the target distance of 30 mm,the incidence angle of 35°,and the elevation angle of 60°.Among these parameters,target distance had the largest impact on cutting performance with a contribution rate of more than 55%,followed by incidence angle and elevation contribution rate.Analysis by orthogonal experiment revealed that the nozzle position parameters were appropriate,and Ra(0.087 lm)was reduced by 30.4%from the maximum value(0.125 lm).Moreover,Rsm(0.05 mm)was minimum,which was 36%lower than that of the seventh group(Rsm=0.078 mm). | Zhenjing DUAN Changhe LI Yanbin ZHANG Lan DONG Xiufang BAI Min YANG Dongzhou JIA Runze LI Huajun CAO Xuefeng XU | 2021 | Chinese Journal of Aeronautics2021，34，6： | 10 |
| 3 | A selective overview of feature screening for ultrahigh-dimensional data显示文摘High-dimensional data have frequently been collected in many scientific areas including genomewide association study, biomedical imaging, tomography, tumor classifications, and finance. Analysis of highdimensional data poses many challenges for statisticians. Feature selection and variable selection are fundamental for high-dimensional data analysis. The sparsity principle, which assumes that only a small number of predictors contribute to the response, is frequently adopted and deemed useful in the analysis of high-dimensional data.Following this general principle, a large number of variable selection approaches via penalized least squares or likelihood have been developed in the recent literature to estimate a sparse model and select significant variables simultaneously. While the penalized variable selection methods have been successfully applied in many highdimensional analyses, modern applications in areas such as genomics and proteomics push the dimensionality of data to an even larger scale, where the dimension of data may grow exponentially with the sample size. This has been called ultrahigh-dimensional data in the literature. This work aims to present a selective overview of feature screening procedures for ultrahigh-dimensional data. We focus on insights into how to construct marginal utilities for feature screening on specific models and motivation for the need of model-free feature screening procedures. | LIU JingYuan ZHONG Wei LI RunZe | 2015 | Science China Mathematics2015，58，10： | 8 |
| 4 | Whether Probiotic Supplementation Benefits Rheumatoid Arthritis Patients: A Systematic Review and Meta-Analysis显示文摘Gut and oral microflora are important factors in the pathogenesis and development of rheumatoid arthritis(RA). Recent studies have shown that probiotic supplements have beneficial consequences on experimental arthritis in rats. However, results from randomized clinical trials on the effects of probiotics have not been consistent. The aim of this study was to systematically review the existing evidence for the effects of probiotic intervention in RA. We included randomized controlled trials(RCTs) of RA patients receiving stable treatment with disease-modifying anti-rheumatic drugs(DMARDs) that:(1) were combined with additional probiotic supplements or(2) were combined with either no additional supplements or only a placebo treatment. Statistical analysis was performed using Review Manager 5.3.3.Six randomized clinical trials were eligible for inclusion in the meta-analysis, with 249 participants in total. The results showed that the probiotic intervention treatment has not yet achieved significant improvement in the American College of Rheumatology 20% improvement criteria(ACR20) score and the disease activity score in 28 joints(DAS28). The laboratory index C-reactive protein(CRP)(mg·L–1) was significantly reduced in the intervention group. The expression of inflammatory cytokines tumor necrosis factor(TNF)-α and interleukine(IL)-1β was also significantly reduced, while IL-10 expression increased in the probiotic intervention groups. This article is the first systematic review and meta-analysis providing a comprehensive assessment of the benefits of treating RA with probiotics. We found that probiotic supplementation may show a limited improvement in RA therapy in existing reports because of a lack of sufficiently high-quality work on the part of clinicians. More multi-centered, large-sample RCTs are needed in order to evaluate the benefits of probiotics in RA treatment. | Hudan Pan Runze Li Ting Li Jun Wang Liang Liu | 2017 | Engineering2017，3，1： | 7 |
| 5 | 电场参数对雾化特性及微量润滑磨削性能影响的实验研究显示文摘为了探究针-板电极电场参数对雾化特性微量润滑磨削性能的影响,通过调节电压幅值和电极间距进行微量润滑平面磨削实验,根据所得雾化锥角、雾滴粒径算术平均值、磨削力及表面粗糙度Ra值进行机理分析。实验结果表明静电雾化微量润滑在高压静电场的参与下,液滴荷电后会发生二次甚至多次雾化。随着电压幅值的升高,雾化锥角增大,雾滴的平均粒径减小并扩散均匀,同时润滑液的润滑性能也有所提高。在电压幅值一定,电极间距为160 mm时,获得最优的润滑性能;在电极间距一定,电压幅值为50 k V时,相比于无静电微量润滑,比切向磨削力Ft'、比法向磨削力Fn'及表面粗糙度R_a值,分别减小25.01%、15.08%、22.18%,获得最优的润滑性能。 | 张晓阳 李长河 张彦彬 杨敏 贾东洲 侯亚丽 张乃庆 Runze Li 纪合聚 | 2018 | 制造技术与机床2018，0，10： | 5 |
| 6 | Robust estimation for partially linear models with large-dimensional covariates显示文摘We are concerned with robust estimation procedures to estimate the parameters in partially linear models with large-dimensional covariates. To enhance the interpretability, we suggest implementing a nonconcave regularization method in the robust estimation procedure to select important covariates from the linear component. We establish the consistency for both the linear and the nonlinear components when the covariate dimension diverges at the rate of o(n1/2), where n is the sample size. We show that the robust estimate of linear component performs asymptotically as well as its oracle counterpart which assumes the baseline function and the unimportant covariates were known a priori. With a consistent estimator of the linear component, we estimate the nonparametric component by a robust local linear regression. It is proved that the robust estimate of nonlinear component performs asymptotically as well as if the linear component were known in advance.Comprehensive simulation studies are carried out and an application is presented to examine the fnite-sample performance of the proposed procedures. | ZHU LiPing LI RunZe CUI HengJian | 2013 | Science China Mathematics2013，56，10： | 5 |
| 7 | Model-free conditional independence feature screening for ultrahigh dimensional data显示文摘Feature screening plays an important role in ultrahigh dimensional data analysis.This paper is concerned with conditional feature screening when one is interested in detecting the association between the response and ultrahigh dimensional predictors(e.g.,genetic makers)given a low-dimensional exposure variable(such as clinical variables or environmental variables).To this end,we first propose a new index to measure conditional independence,and further develop a conditional screening procedure based on the newly proposed index.We systematically study the theoretical property of the proposed procedure and establish the sure screening and ranking consistency properties under some very mild conditions.The newly proposed screening procedure enjoys some appealing properties.(a)It is model-free in that its implementation does not require a specification on the model structure;(b)it is robust to heavy-tailed distributions or outliers in both directions of response and predictors;and(c)it can deal with both feature screening and the conditional screening in a unified way.We study the finite sample performance of the proposed procedure by Monte Carlo simulations and further illustrate the proposed method through two real data examples. | WANG LuHeng LIU JingYuan LI Yong LI RunZe | 2017 | Science China Mathematics2017，60，3： | 5 |
| 8 | Analysis of grinding mechanics and improved grinding force model based on randomized grain geometric characteristics显示文摘Too high grinding force will lead to a large increase in specific grinding energy, resulting in high temperature in grinding zone, especially for the aerospace difficult cutting metal materials,seriously affecting the surface quality and accuracy. At present, the theoretical models of grinding force are mostly based on the assumption of uniform or simplified morphological characteristics of grains, which is inconsistent with the actual grains. Especially for non-engineering grinding wheel,most geometric characteristics of grains are ignored, resulting in the calculation accuracy that cannot guide practical production. Based on this, an improved grinding force model based on random grain geometric characteristics is proposed in this paper. Firstly, the surface topography model of CBN grinding wheel is established, and the effective grain determination mechanism in grinding zone is revealed. Based on the known grinding force model and mechanical behavior of interaction between grains and workpiece in different stages, the concept of grain effective action area is proposed. The variation mechanism of effective action area under the influence of grain geometric and spatial characteristics is deeply analyzed, and the calculation method under random combination of five influencing parameters is obtained. The numerical simulation is carried out to reveal the dynamic variation process of grinding force in grinding zone. In order to verify the theoretical model, the experiments of dry grinding Ti-6Al-4 V are designed. The experimental results show that under different machining parameters, the results of numerical calculation and experimental measurement are in good agreement, and the minimum error value is only 2.1 %, which indicates that the calculation accuracy of grinding force model meets the requirements and is feasible. This study will provide a theoretical basis for optimizing the wheel structure, effectively controlling the grinding force range, adjusting the grinding zone temperature and improving the workpiece machining quality in the industrial grinding process. | Mingzheng LIU Changhe LI Yanbin ZHANG Min YANG Teng GAO Xin CUI Xiaoming WANG Wenhao XU Zongming ZHOU Bo LIU Zafar SAID Runze LI Shubham SHARMA | 2023 | Chinese Journal of Aeronautics2023，36，7： | 5 |
| 9 | Pressure distribution guided supercritical wing optimization显示文摘Pressure distribution is important information for engineers during an aerodynamic design process. Pressure Distribution Oriented(PDO) optimization design has been proposed to introduce pressure distribution manipulation into traditional performance dominated optimization.In previous PDO approaches, constraints or manual manipulation have been used to obtain a desirable pressure distribution. In the present paper, a new Pressure Distribution Guided(PDG) method is developed to enable better pressure distribution manipulation while maintaining optimization efficiency. Based on the RBF-Assisted Differential Evolution(RADE) algorithm, a surrogate model is built for target pressure distribution features. By introducing individuals suggested by suboptimization on the surrogate model into the population, the direction of optimal searching can be guided. Pressure distribution expectation and aerodynamic performance improvement can be achieved at the same time. The improvements of the PDG method are illustrated by comparing its design results and efficiency on airfoil optimization test cases with those obtained using other methods. Then the PDG method is applied on a dual-aisle airplane's inner-board wing design. A total drag reduction of 8 drag counts is achieved. | Runze LI Kaiwen DENG Yufei ZHANG Haixin CHEN | 2018 | Chinese Journal of Aeronautics2018，31，9： | 5 |
| 10 | Diatomite supported nano zero valent iron with 3D network for peroxymonosulfate activation in efficient degradation of bisphenol A显示文摘Diatomite supported nano zero valent iron(n ZVI)catalyst(NDA)with complex network structure was prepared via a mild reduction precipitation method in this work.The pore structure and pore distribution of NDA can be regulated and controlled through adjusting the loading amount of n ZVI.In general,the nano three-dimensional network formed by n ZVI and diatomite channels greatly increase the specific surface area and pore volume of NDA,and further formed more active sites,which made NDA have better performance in activating PMS to degrade BPA than pure n ZVI.The pseudo-first-order reaction rate constant of 50-NDA(50%-n ZVI/diatomite)is almost 3 times higher than that of pure n ZVI.Besides,the electron paramagnetic resonance(EPR)and radical quenching experiments showed that the activation process was dominated by the sulfate radical(SO_(4)^(-))and hydroxyl radical(·OH)produced by Fe;oxidation.The generated electrons promote the self-decomposition of PMS to produce singlet oxygen(^(1)O_(2)),and then the valence state of iron changes to produce free radicals.In addition,the possible degradation pathway of BPA was inferred from the intermediate products identified by liquid chromatograph-mass spectrometer(LC-MS).This study provides a novel strategy for the design and preparation of three-dimensional composite catalysts derived from natural mineral. | Ye Tan Shuilin Zheng Yonghao Di Chunquan Li Runze Bian Zhiming Sun | 2021 | Journal of Materials Science & Technology2021，，36： | 4 |
| 11 | Electrostatic atomization minimum quantity lubrication machining:from mechanism to application显示文摘Metal cutting fluids(MCFs)under flood conditions do not meet the urgent needs of reducing carbon emission.Biolubricant-based minimum quantity lubrication(MQL)is an effective alternative to flood lubrication.However,pneumatic atomization MQL has poor atomization properties,which is detrimental to occupational health.Therefore,electrostatic atomization MQL requires preliminary exploratory studies.However,systematic reviews are lacking in terms of capturing the current research status and development direction of this technology.This study aims to provide a comprehensive review and critical assessment of the existing understanding of electrostatic atomization MQL.This research can be used by scientists to gain insights into the action mechanism,theoretical basis,machining performance,and development direction of this technology.First,the critical equipment,eco-friendly atomization media(biolubricants),and empowering mechanisms of electrostatic atomization MQL are presented.Second,the advanced lubrication and heat transfer mechanisms of biolubricants are revealed by quantitatively comparing MQL with MCF-based wet machining.Third,the distinctive wetting and infiltration mechanisms of electrostatic atomization MQL,combined with its unique empowering mechanism and atomization method,are compared with those of pneumatic atomization MQL.Previous experiments have shown that electrostatic atomization MQL can reduce tool wear by 42.4%in metal cutting and improve the machined surface Ra by 47%compared with pneumatic atomization MQL.Finally,future development directions,including the improvement of the coordination parameters and equipment integration aspects,are proposed. | Wenhao Xu Changhe Li Yanbin Zhang Hafiz Muhammad Ali Shubham Sharma Runze Li Min Yang Teng Gao Mingzheng Liu Xiaoming Wang Zafar Said Xin Liu Zongming Zhou | 2022 | International Journal of Extreme Manufacturing2022，4，4： | 4 |
| 12 | The Variation of Stone Cell Content in 236 Germplasms of Sand Pear(Pyrus pyrifolia)and Identification of Related Candidate Genes显示文摘Stone cells have been described to substantially influence pear fruit quality,as lignin and cellulose are the main components of stone cells.However,there are limited studies on the relationship between the variation and molecular basis of stone cells,lignin and cellulose content among different pear varieties.Here,to reveal the variation of stone cell content within different cultivated species,we collected 236 germplasms of sand pear(Pyrus pyrifolia)at 50 days after flower blooming(DAFB),the key stage of stone cell formation.In our results,we measured the content of stone cells,lignin and cellulose and found that these contents ranged from2.82%to 29.00%,8.84%to 55.30%and 11.52%to 30.55%,respectively.Further analysis showed that the variation coefficient of stone cell,lignin and cellulose content was 39.10%,28.03%and 16.71%,respectively.Additionally,a significant correlation between stone cell,lignin and cellulose content were detected,and the correlation coefficient between the contents of stone cell and lignin(0.912)was higher than between the contents of stone cell and cellulose(0.796).Moreover,the average lignin content(29.73%)was higher than the average cellulose content(18.03%)in stone cells in pear fruits,indicating that lignin is the main component of stone cell in pears.Finally,on the basic of the transcriptome data,we identified 10 transcription factors belonging to bHLH,ERF,MYB,and NAC transcript families,which might be involved in lignin formation in stone cells.qRT-PCR experiments verified coincident trends between expression of candidate genes and stone cell content.This research laid foundation for future studies on genetic variation of stone cells in pear fruits and provided important gene resources for stone cell regulation. | Jiaying Zhang Jiaming Li Cheng Xue Runze Wang Mingyue Zhang Kaijie Qi Jing Fan Hongju Hu Shaoling Zhang Jun Wu | 2021 | Horticultural Plant Journal2021，7，2： | 3 |
| 13 | Dual-wavelength in-line digital holography with untrained deep neural networks显示文摘Dual-wavelength in-line digital holography(DIDH)is one of the popular methods for quantitative phase imaging of objects with non-contact and high-accuracy features.Two technical challenges in the reconstruction of these objects include suppressing the amplified noise and the twin-image that respectively originate from the phase difference and the phase-conjugated wavefronts.In contrast to the conventional methods,the deep learning network has become a powerful tool for estimating phase information in DIDH with the assistance of noise suppressing or twin-image removing ability.However,most of the current deep learning-based methods rely on supervised learning and training instances,thereby resulting in weakness when it comes to applying this training to practical imaging settings.In this paper,a new DIDH network(DIDH-Net)is proposed,which encapsulates the prior image information and the physical imaging process in an untrained deep neural network.The DIDHNet can effectively suppress the amplified noise and the twin-image of the DIDH simultaneously by automatically adjusting the weights of the network.The obtained results demonstrate that the proposed method with robust phase reconstruction is well suited to improve the imaging performance of DIDH. | CHEN BAI TONG PENG JUNWEI MIN RUNZE LI YUAN ZHOU BAOLI YAO | 2021 | Photonics Research2021，9，12： | 3 |
| 14 | Relationship between the parent charge transfer gap and maximum transition temperature in cuprates显示文摘One of the biggest puzzles concerning the cuprate high temperature superconductors is what determines the maximum transition temperature(Tc,max), which varies from less than 30 to above 130 K in different compounds.Despite this dramatic variation, a robust trend is that within each family, the double-layer compound always has higher Tc,maxthan the single-layer counterpart. Here we use scanning tunneling microscopy to investigate the electronic structure of four cuprate parent compounds belonging to two different families. We find that within each family, the double layer compound has a much smaller charge transfer gap size(DCT), indicating a clear anticorrelation between DCTand Tc,max. These results suggest that the charge transfer gap plays a key role in the superconducting physics of cuprates, which shed important new light on the high Tc mechanism from doped Mott insulator perspective. | Wei Ruan Cheng Hu Jianfa Zhao Peng Cai Yingying Peng Cun Ye Runze Yu Xintong Li Zhenqi Hao Changqing Jin Xingjiang Zhou Zheng-Yu Weng Yayu Wang | 2016 | Science Bulletin2016，61，23： | 3 |
| 15 | Comparative assessment of force,temperature,and wheel wear in sustainable grinding aerospace alloy using biolubricant显示文摘The substitution of biolubricant for mineral cutting fluids in aerospace material grinding is an inevitable development direction,under the requirements of the worldwide carbon emission strategy.However,serious tool wear and workpiece damage in difficult-to-machine material grinding challenges the availability of using biolubricants via minimum quantity lubrication.The primary cause for this condition is the unknown and complex influencing mechanisms of the biolubricant physicochemical properties on grindability.In this review,a comparative assessment of grindability is performed using titanium alloy,nickel-based alloy,and high-strength steel.Firstly,this work considers the physicochemical properties as the main factors,and the antifriction and heat dissipation behaviours of biolubricant in a high temperature and pressure interface are comprehensively analysed.Secondly,the comparative assessment of force,temperature,wheel wear and workpiece surface for titanium alloy,nickel-based alloy,and high-strength steel confirms that biolubricant is a potential replacement of traditional cutting fluids because of its improved lubrication and cooling performance.High-viscosity biolubricant and nano-enhancers with high thermal conductivity are recommended for titanium alloy to solve the burn puzzle of the workpiece.Biolubricant with high viscosity and high fatty acid saturation characteristics should be used to overcome the bottleneck of wheel wear and nickel-based alloy surface burn.The nano-enhancers with high hardness and spherical characteristics are better choices.Furthermore,a different option is available for high-strength steel grinding,which needs low-viscosity biolubricant to address the debris breaking difficulty and wheel clogging.Finally,the current challenges and potential methods are proposed to promote the application of biolubricant. | Xin CUI Changhe LI Yanbin ZHANG Wenfeng DING Qinglong AN Bo LIU Hao Nan LI Zafar SAID Shubham SHARMA Runze LI Sujan DEBNATH | 2023 | Frontiers of Mechanical Engineering2023，18，1： | 3 |
| 16 | Machinability of ultrasonic vibration-assisted micro-grinding in biological bone using nanolubricant显示文摘Bone grinding is an essential and vital procedure in most surgical operations.Currently,the insufficient cooling capacity of dry grinding,poor visibility of drip irrigation surgery area,and large grinding force leading to high grinding temperature are the technical bottlenecks of micro-grinding.A new micro-grinding process called ultrasonic vibration-assisted nanoparticle jet mist cooling(U-NJMC)is innovatively proposed to solve the technical problem.It combines the advantages of ultrasonic vibration(UV)and nanoparticle jet mist cooling(NJMC).Notwithstanding,the combined effect of multi parameter collaborative of U-NJMC on cooling has not been investigated.The grinding force,friction coefficient,specific grinding energy,and grinding temperature under dry,drip irrigation,UV,minimum quantity lubrication(MQL),NJMC,and U-NJMC micro-grinding were compared and analyzed.Results showed that the minimum normal grinding force and tangential grinding force of U-NJMC micro-grinding were 1.39 and 0.32 N,which were 75.1%and 82.9%less than those in dry grinding,respectively.The minimum friction coefficient and specific grinding energy were achieved using U-NJMC.Compared with dry,drip,UV,MQL,and NJMC grinding,the friction coefficient of U-NJMC was decreased by 31.3%,17.0%,19.0%,9.8%,and 12.5%,respectively,and the specific grinding energy was decreased by 83.0%,72.7%,77.8%,52.3%,and 64.7%,respectively.Compared with UV or NJMC alone,the grinding temperature of U-NJMC was decreased by 33.5%and 10.0%,respectively.These results showed that U-NJMC provides a novel approach for clinical surgical micro-grinding of biological bone. | Yuying YANG Min YANG Changhe LI Runze LI Zafar SAID Hafiz Muhammad ALI Shubham SHARMA | 2023 | Frontiers of Mechanical Engineering2023，18，1： | 3 |
| 17 | 用高压氧治疗高原脱习服症的效果分析显示文摘目的:探讨用高压氧治疗高原脱习服症的临床效果。方法:对近期结束高原防守任务后赴临潼疗养院进行疗养治疗的31例高原官兵的临床资料进行回顾性研究。我们将这31例患者分为高压氧组和康复疗养组,其中,高压氧组有18例患者,康复疗养组有13例患者。我院对康复疗养组的患者进行康复疗养,在此基础上,对高压氧组的患者进行高压氧治疗。我们在患者入院时、进行治疗后的15天及30天记录其临床症状,并对其临床症状的改善情况进行评分,比较两组患者的评分结果。结果:在治疗后15天后,高压氧组患者的高原脱习服症状评分明显低于康复疗养组的患者,二者相比差异有显著性(P<0.05)。结论:在进行康复疗养的基础上用高压氧治疗高原脱习服症可明显地改善患者的症状。但该方法的治疗效果及成熟的治疗方案尚待进一步的研究。 | 哈振德 Xu Li Shi Runze Guo Guanghui Song Wei Wang Junfang Zhang Quan | 2014 | 当代医药论丛2014，12，14： | 3 |
| 18 | Quantum dots assisted in vivo two-photon microscopy with NIR-Ⅱemission显示文摘With the advantages of high resolution and deep penetration depth,two-photon excited NIR-Ⅱ(900–1880 nm)fluorescence(2PF)microscopic bioimaging is promising.However,due to the lack of imaging systems and suitable probes,few such works,to our best knowledge,were demonstrated utilizing NIR-II excitation and NIR-Ⅱfluorescence simultaneously.Herein,we used aqueously dispersible Pb S/Cd S quantum dots with bright NIR-II fluorescence as the contrast agents.Under the excitation of a 1550 nm femtosecond(fs)laser,they emitted bright 2 PF in the NIR-Ⅱregion.Moreover,a 2PF lifetime imaging microscopic(2PFLIM)system was implemented,and in vivo 2PFLIM images of mouse brain blood vessels were obtained for the first time to our best knowledge.To improve imaging speed,an in vivo two-photon fluorescence microscopy(2 PFM)system based on an In Ga As camera was implemented,and in vivo 2PFM images of QDs-stained mouse brain blood vessels were obtained. | HUWEI NI YALUN WANG TAO TANG WENBIN YU DONGYU LI MUBIN HE RUNZE CHEN MINGXI ZHANG JUN QIAN | 2022 | Photonics Research2022，10，1： | 3 |
| 19 | Shale pore characteristics of Shahejie Formation: Implication for pore evolution of shale oil reservoirs in Dongying sag, north China显示文摘The pore characteristics of shale reservoirs in the lower submember of Member 3 to upper submember of Member 4 of Shahejie Formation in Dongying sag are analyzed,influences of mineral content and organic matter content on porosity and pore size are also investigated,and through the diagenetic thermal simulation experiment,the main pore evolution is further discussed.The results show that the pore structure of shale reservoirs is complex,the micron-nanometer pores can storage liquid hydrocarbons,and the free-phase crude oil is mainly distributed in intergranular dissolution pores of calcite,recrystallized intergranular pores,intergranular shrinkage fractures of clay mineral which have large pore size.Framework minerals and organic matter content directly influence porosity and pore size of shale reservoirs,relationship between porosity and content of felsic mineral as well as content of organic matter content is linear and positive,while relationship between content of carbonated mineral is negative.At the buried depth from 2500 to 3500 m,concentration of organic acid from hydrocarbon generation and expulsion of organic matter,increasing range of pressure coefficient,are well corresponding to highporosity intervals;pore formation in shale oil reservoirs are almost controlled by diagenetic evolution of clay minerals;framework storage spaces formed by carbonate grain crystals as well as intergranular and intergranular dissolution pores of carbonate increases porosity of shale oil reservoirs;local increase of porosity at the depth of 3500e3800 m is mainly caused by coupling of hydrocarbon-generating overpressure and dissolution,and size,distribution and connectivity of pores are enhanced obviously. | Shun Zhang Huimin Liu Min Wang Xinjin Liu Huilai Liu Youshu Bao Weiqing Wang Runze Li Xin Luo Zhengwei Fang | 2019 | Petroleum Research2019，4，2： | 2 |
| 20 | Synergistic osteogenic and angiogenic effects of KP and QK peptides incorporated with an injectable and self-healing hydrogel for efficient bone regeneration显示文摘Irregular defects generated by trauma or surgery in orthopaedics practice were usually difficult to be fitted by the preformed traditional bone graft substitute. Therefore, the injectable hydrogels have attracted an increasing interest for bone repair because of their fittability and mini-invasivity. However, the uncontrollable spreading or mechanical failures during its manipulation remain a problem to be solved. Moreover, in order to achieve vascularized bone regeneration, alternatives of osteogenic and angiogenic growth factors should be adopted to avoid the problem of immunogenicity and high cost. In this study, a novel injectable self-healing hydrogel system (GMO hydrogel) loaded with KP and QK peptides had been developed for enhancing vascularized regeneration of small irregular bone defect. The dynamic imine bonds between gelatin methacryloyl and oxidized dextran provided the GMO hydrogel with self-healing and shear-thinning abilities, which led to an excellent injectability and fittability. By photopolymerization of the enclosed GelMA, GMO hydrogel was further strengthened and thus more suitable for bone regeneration. Besides, the osteogenic peptide KP and angiogenic peptide QK were tethered to GMO hydrogel by Schiff base reaction, leading to desired releasing profiles. In vitro, this composite hydrogel could significantly improve the osteogenic differentiation of BMSCs and angiogenesis ability of HUVECs. In vivo, KP and QK in the GMO hydrogel demonstrated a significant synergistic effect in promoting new bone formation in rat calvaria. Overall, the KP and QK loaded GMO hydrogel was injectable and self-healing, which can be served as an efficient approach for vascularized bone regeneration via a minimally invasive approach. | Runze Li Chen Zhou Jun Chen Haotian Luo Ruoyu Li Danying Chen Xuenong Zou Weicai Wang | 2022 | Bioactive Materials2022，7，12： | 2 |
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