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| 1 | Effect of KBr on the micellar properties of CTAB显示文摘The effect of KBr on the size, shape and microviscosity of CTAB micelles has been investigated by means of laser light scattering (LLS), 1H NMR measurements and fluorescence probe. The data obtained from the various techniques are quantitatively in agreement. The Rh of micelles in 0.01 mol ·L-1 CTAB solution increases from 3.5 nm to 43 nm and Rg increases to 89 nm with addition of KBr salt. In this process, both the microviscosity and molecular weight of micelles Mw have noticeable increases, too. The rod-like micelles are formed at 0.1 mol ·L -1 KBr and the worm-like micelles are formed at above 0.2 mol ·L-1 KBr. | ZHANG Weican LI Ganzuo MU Jianhai SHEN Qiang ZHENG Liqiang LIANG Haojun WU Chi | 2000 | Chinese Science Bulletin2000，45，20： | 3 |
| 2 | Highly sensitive fluorescence detection of chloride ion in aqueous solution with Ag-modified porous g-C_(3)N_(4) nanosheets显示文摘The porous g-C_(3)N_(4)(PCN)nanosheets are successfully synthesized and further modified with nano-sized Ag by a simple wet-chemical process.Intere stingly,the Ag-modified porous g-C_(3)N_(4)(Ag-PCN)nanosheets exhibit competitive fluorescence detection performance of chloride ion(Cl)in aqueous solutio n.Under the optimized conditions,the concentration of Cl could be quantitative analyzed with the Ag-PCN in a wide detection range from 0.5 mmol/L to 0.1 mol/L,with a low detection limitation of 0.06 mmol/L.It is confirmed that the fluorescence of PCN could be effectively decayed by the photoinduced charge transfer via the adsorbed Cl for trapping holes,mainly by means of the time-resolved fluorescence and surface photo voltage spectra.The porous structure and modified Ag promote the adsorption of Cl on resulting Ag-PCN,leading to excellent fluorescence detection for Cl.This work provides a feasible route to develop a fluorescence detection of Cl with g-C_(3)N_(4) nanosheets in environment water. | Zishu Zhang Ying Gao Peng Li Binhong Qu Zhiyuan Mu Yang Liu Yang Qu Degui Kong Qing Chang Liqiang Jing | 2020 | Chinese Chemical Letters2020，31，10： | 2 |
| 3 | Accelerating the discontinuous Galerkin method for seismic wave propagation simulations using multiple GPUs with CUDA and MPI显示文摘We have successfully ported an arbitrary highorder discontinuous Galerkin method for solving the threedimensional isotropic elastic wave equation on unstructured tetrahedral meshes to multiple Graphic Processing Units(GPUs)using the Compute Unified Device Architecture(CUDA)of NVIDIA and Message Passing Interface(MPI)and obtained a speedup factor of about 28.3 for the single-precision version of our codes and a speedup factor of about 14.9 for the double-precision version.The GPU used in the comparisons is NVIDIA Tesla C2070 Fermi,and the CPU used is Intel Xeon W5660.To effectively overlap inter-process communication with computation,we separate the elements on each subdomain into inner and outer elements and complete the computation on outer elements and fill the MPI buffer first.While the MPI messages travel across the network,the GPU performs computation on inner elements,and all other calculations that do not use information of outer elements from neighboring subdomains.A significant portion of the speedup also comes from a customized matrix–matrix multiplication kernel,which is used extensively throughout our program.Preliminary performance analysis on our parallel GPU codes shows favorable strong and weak scalabilities. | Dawei Mu Po Chen Liqiang Wang | 2013 | Earthquake Science2013，26，6： | 2 |
| 4 | Study on Absorption Capacity of Northeast Main greening tree species to Heavy Metal Pollutants of the Atmosphere显示文摘 | Mu Liqiang Sunhaiyan Zhuning | 2004 | Forestry Research2004，15，1： | 1 |
| 5 | Absorption capacity of major urban afforestation species in northeastern China to heavy metal pollutanis in the atmosphere 显示文摘 | Mu Liqiang Sun Haiyan Zhu Ning | 2004 | Journal of Forest Research2004，15，1： | 1 |
| 6 | The diversity of arbuscular mycorrhizal fungi of Rosa acicularis ’Luhe’ in saline areas显示文摘Arbuscular mycorrhizal fungi(AMF)in the soil encompass a diversity of species and play an important role in maintaining ecosystem balance.However,little research has focused on the AMF diversity of Rosa acicularis Lindl.’Luhe’,which has been cultivated in northeastern saline areas,because of its strong salt tolerance and cold resistance.In the present study the AMF in the rhizosphere of R.acicularis Luhe were identified and AMF diversity and community composition were assessed using morphological and molecular techniques.Vesicles,hyphae,and arbuscular structures were observed in seedlings of different ages.Result shows that AMF established a good symbiotic relationship with R.acicularis Luhe.The colonization rate and spore density tended to increase over time.The AMF diversity in the rhizosphere of R.acicularis Luhe was low and four species of AMF were validated:Rhizophagus irregularis,Glomus aggregatum,Septoglomus furcatum,and Funneliformis mosseae.Of these,R.irregularis and G.aggregatum were dominant and have high salt tolerance.Determining the AMF diversity in the rhizosphere of R.acicularis Luhe will aid in screening AMF species with strong resistance and using mycorrhizas for plant establishment in breeding programs. | Yanrong Zu Yuan Ping Liqiang Mu Tiantian Yang | 2019 | Journal of Forestry Research2019，30，4： | 1 |
| 7 | Optimal ultrasonic extraction condition and determination of polysaccharides in Tilia amurensis flower显示文摘 | MU Liqiang LIU Liping MA Dalong | 2010 | J Forestry Research2010，21，1： | 1 |
| 8 | Analysis and prediction of global vegetation dynamics:past variations and future perspectives显示文摘Spatiotemporal dynamic vegetation changes affect global climate change,energy balances and the hydrological cycle.Predicting these dynamics over a long time series is important for the study and analysis of global environmental change.Based on leaf area index(LAI),climate,and radiation flux data of past and future scenarios,this study looked at historical dynamic changes in global vegetation LAI,and proposed a coupled multiple linear regression and improved gray model(CMLRIGM)to predict future global LAI.The results show that CMLRIGM predictions are more accurate than results predicted by the multiple linear regression(MLR)model or the improved gray model(IGM)alone.This coupled model can effectively resolve the problem posed by the underestimation of annual average of global vegetation LAI predicted by MLR and the overestimate predicted by IGM.From 1981 to 2018,the annual average of LAI in most areas covered by global vegetation(71.4%)showed an increase with a growth rate of 0.0028 a-1;of this area,significant increases occurred in 34.42%of the total area.From 2016 to 2060,the CMLRIGM model has predicted that the annual average global vegetation LAI will increase,accounting for approximately 68.5%of the global vegetation coverage,with a growth rate of 0.004 a-1.The growth rate will increase in the future scenario,and it may be related to the driving factors of the high emission scenario used in this study.This research may provide a basis for simulating spatiotemporal dynamic changes in global vegetation conditions over a long time series. | Guangchao Li Wei Chen Liqiang Mu Xuepeng Zhang Pengshuai Bi Zhe Wang Zhen Yang | 2023 | Journal of Forestry Research2023，34，2： | 0 |
| 9 | Green Hydrothermal Synthesis and Applications of Sorbus pohuashanensis/Aronia melanocarpa Extracts Functionalized-Au/Ag/AuAg Nanoparticles显示文摘Nanoparticles(NPs)have already been widely used in catalysis,antibacterial and coating fields.Compared with the traditional toxic and harmful reducing reagents,green synthesis of NPs by using plant extracts is not only environmental-friendly and cost-effective but also conducive to the multi-level and efficient utilization of wild plant resources.In this study,the aqueous extracts from Sorbus pohuashanensis(SP)and Aronia melanocarpa(AM)fruits were used as the reducing and protective reagents for synthesizing Au/AgNPs,with the characteristics of originality operation and high repeatability.The SP/AM fruit extracts functionalized Au/AgNPs were characterized by UV-vis spectroscopy(UV-vis),transmission electron microscopy(TEM),energy dispersive spectroscopy(EDS),scanning electron microscope(SEM),X-ray diffraction(XRD)and Fourier transform infrared spectroscopy(FTIR).UV-vis spectrums showed the NPs peaks verified by the presence between 400–550 nm;TEM and SEM demonstrated NPs displayed approximately spherical structures;EDS confirmed the existence of Au/Ag elements;XRD measurements confirmed that the obtained NPs showed highly crystalline structures;FTIR demonstrated the fruits extracts were adsorbed on the surface of NPs.Primary experiments indicated that SP/AM fruit extracts functionalized-NPs could be used as the reagents for removing the organic dyes efficiently;Zone of inhibition tests(ZOI)explained that NPs have slow-release antibacterial activity. | Jin Huang Jixiang Sun Kai Shao Yamei Lin Zhiguo Liu Yujie Fu Liqiang Mu | 2023 | Journal of Renewable Materials2023，11，4： | 0 |
| 10 | Automated optical inspection of FAST’s reflector surface using drones and computer vision显示文摘The Five-hundred-meter Aperture Spherical radio Telescope(FAST)is the world’s largest single-dish radio telescope.Its large reflecting surface achieves unprecedented sensitivity but is prone to damage,such as dents and holes,caused by naturally-occurring falling objects.Hence,the timely and accurate detection of surface defects is crucial for FAST’s stable operation.Conventional manual inspection involves human inspectors climbing up and examining the large surface visually,a time-consuming and potentially unreliable process.To accelerate the inspection process and increase its accuracy,this work makes the first step towards automating the inspection of FAST by integrating deep-learning techniques with drone technology.First,a drone flies over the surface along a predetermined route.Since surface defects significantly vary in scale and show high inter-class similarity,directly applying existing deep detectors to detect defects on the drone imagery is highly prone to missing and misidentifying defects.As a remedy,we introduce cross-fusion,a dedicated plug-in operation for deep detectors that enables the adaptive fusion of multi-level features in a point-wise selective fashion,depending on local defect patterns.Consequently,strong semantics and fine-grained details are dynamically fused at different positions to support the accurate detection of defects of various scales and types.Our AI-powered drone-based automated inspection is time-efficient,reliable,and has good accessibility,which guarantees the long-term and stable operation of FAST. | Jianan Li Shenwang Jiang Liqiang Song Peiran Peng Feng Mu Hui Li Peng Jiang Tingfa Xu | 2023 | Light(Advanced Manufacturing)2023，4，1： | 0 |
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