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Source apportionment of PM_(2.5)and visibility in Jinan,China

Journal of Environmental Sciences 2021年第4期33卷 207-215页

作者： Mengtian cheng Guiqian Tang bo Lv Xingru Li Xinrui Wu Yiming wang Yuesi wang Key Laboratory for Semi-Arid Climate Change of Ministry of Education College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China State Key Laboratory of Atmospheric boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Jinan Ecological and Environment Monitoring Center of Shandong Province Jinan 250000China Capital Normal University Beijing 100048China

Atmospheric extinction is impacted by the chemical composition of *** better understand the chemical composition of PM_(2.5)(particles with diameters of less than 2.5μm)and its relationship with extinction,one-month sampling campaigns were carried out in four different seasons from 2013 to 2014 in Jinan,*** seasonal average concentrations of PM_(2.5)were 120.9(autumn),156.6(winter),102.5(spring),and 111.8μg/m^(3)(summer).The reconstructed PM_(2.5)chemical composition showed that sulfate,nitrate,chlorine salt,organic matter(OM),mineral dust,elemental carbon(EC)and others accounted for 25%,14%,2%,24%,22%,3%and 10%,*** relationship between the chemical composition of PM_(2.5)and visibility was reconstructed by the IMPROVE method,and ammonium sulfate,ammonium nitrate,OM and EC dominated the *** main sources were resolved for PM_(2.5),including secondary particles,coal combustion,biomass burning,industry,motor vehicle exhaust,soil dust and cooking,which accounted for 37%,21%,13%,13%,12%,3%and 1%,*** contributions of different sources to visibility were similar to those to PM_(2.5).With increasing severity of air pollution,the contributions of secondary particles and coal combustion increased,while the contribution of motor vehicle exhaust *** results showed that coal combustion and biomass burning were still the main sources of air pollution in Jinan.

关键词： PM_(2.5) Jinan Source apportionment Extinction

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A Detailed Study of Mode Changing and Modulation of PSR B1237+25 with FAST

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Research in Astronomy and Astrophysics 2022年第7期22卷 73-83页

作者： Zheng-Wu wang Mao Yuan Lin wang cheng-Min Zhang bo Peng CAS Key Laboratory of FAST National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China

PSR B1237+25,whose mean pulse profile has five components,is a well-known star to study pulsar emission *** conducted mode changing and modulation analysis on this pulsar using FAST data at 1.25 GHz with a bandwidth of 400 *** observed and identified three emission modes of this pulsar:a quiet normal mode that has little or no core activity with distinctive 2.8-period subpulse modulation on its outer cone,a flare normal mode in which the core is highly active and an abnormal mode in which the core is active and the last component is *** found that the core activity cuts off the position angle traverse in flare normal mode and leads to a position angle jumping in abnormal *** also found that there exists a quasi-periodical modulation on the outer conal *** modulation shows an irregular wave-like pattern,and has a weak correlation with the core *** discuss the likely origin of such a modulation,and argue that this modulation can be interpreted as precession of the emission cones around the magnetic axis.

关键词： (stars:)pulsars:individual(PSR B1237+25) radiation mechanisms:non-thermal magnetic fields polarization

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电子书包在麻醉专业技能培训中的应用效果评价

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继续医学教育 2017年第10期31卷 80-82页

作者：钱正霞高进程波王群英袁瑞雪重庆医科大学附属第一医院麻醉科重庆400016

目的评价采用电子书包和传统教学方法对麻醉专业实习生进行麻醉学专业技能培训的效果。方法随机将78名进入临床实习的麻醉专业的本科实习生随机分成对照组(A组)和观察组(B组),每组各39名学生。对照组采用传统的教学方法进行麻醉专业技... 详细信息

目的评价采用电子书包和传统教学方法对麻醉专业实习生进行麻醉学专业技能培训的效果。方法随机将78名进入临床实习的麻醉专业的本科实习生随机分成对照组(A组)和观察组(B组),每组各39名学生。对照组采用传统的教学方法进行麻醉专业技能培训,观察组采用电子书包进行麻醉专业技能培训,培训时间4个月,统计两组学生各项技能成功率达60%所需操作次数。培训结束后对两组学生进行理论知识和专业技能操作考核,并调查两组学生对采用传统教学模式和电子书包教学的满意度。结果观察组学生操作成功率达60%所需次数低于对照组,差异有统计学意义(P0.05)。观察组学生的专业技能考试成绩优于对照组学生,差异有统计学意义(P<0.05)。两组学生对教学方法满意度比较,观察组高于对照组,差异有统计学意义(P<0.05)。在观察组学生中,有92.3%的学生对电子书包表示认可,认为电子书包能帮助其掌握麻醉专业技能要点,提高技能操作能力。而对照组中87.2%的学生希望能有更多更新的教学方法帮助其提高麻醉临床技能操作水平。结论对麻醉专业的学生采用电子书包进行麻醉技能教学可提高学生的满意度,有助于其掌握麻醉技能,提高学生的技能操作水平。

关键词：麻醉学教学电子书包专业技能培训

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A new species of the glass sponge genus Walteria(Hexactinellida:Lyssacinosida:Euplectellidae)from northwestern Pacific seamounts,providing a biogenic microhabitat in the deep sea

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Acta Oceanologica Sinica 2021年第12期40卷 39-49页

作者： chengcheng Shen Hong cheng Dongsheng Zhang bo Lu Chunsheng wang Key Laboratory of Marine Ecosystem Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China School of Oceanography Shanghai Jiao Tong UniversityShanghai 200240China

We report on a hexactinellid sponge new to science,Walteria demeterae ***.,which was collected from the northwestern Pacific seamounts at depths of 1271–1703 *** tubular and basiphytous body,extensive lateral processes,numerous oval lateral oscula which are irregularly situated in the body wall,the presence of microscleres with oxyoidal,discoidal and onychoidal outer ends,and the absence of anchorate discohexasters,indicate it belongs to the genus Walteria of family Euplectellidae,which is also supported by molecular phylogenetic evidence from 18 S,28 S,16 S rRNA and cytochrome c oxidase subunit I(COI)gene *** unique morphotype,which is structured by a thin and rigid framework of body wall and lateral processes consisting of diactins,characterizes it as a new *** aggregations of individuals of this new species coupled with their associated macrofauna in the Suda Seamount are reported,highlighting its functional significance in providing biogenic microhabitats in the deep sea.

关键词： Euplectellidae Walteria integrative taxonomy northwestern Pacific Ocean Porifera sponge aggregations

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SPA: A Quantitation Strategy for MS Data in Patient-derived Xenograft Models

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Genomics, Proteomics & Bioinformatics 2021年第4期19卷 522-533页

作者： Xi cheng Lili Qian bo wang Minjia Tan Jing Li Department of Bioinformatics and Biostatistics School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghai 200240China The Chemical Proteomics Center and State Key Laboratory of Drug Research Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China University of Chinese Academy of Sciences Beijing 100049China

With the development of mass spectrometry(MS)-based proteomics technologies,patient-derived xenograft(PDX),which is generated from the primary tumor of a patient,is widely used for the proteome-wide analysis of cancer mechanism and biomarker identification of a ***,the proteomics data interpretation is still challenging due to complex data deconvolution from the PDX sample that is a cross-species mixture of human cancerous tissues and immunodeficient mouse *** this study,by using the lab-assembled mixture of human and mouse cells with different mixing ratios as a benchmark,we developed and evaluated a new method,SPA(shared peptide allocation),for protein quantitation by considering the unique and shared peptides of both *** results showed that SPA could provide more convenient and accurate protein quantitation in human–mouse mixed *** validation on a pair of gastric PDX samples(one bearing FGFR2 amplification while the other one not)showed that our new method not only significantly improved the overall protein identification,but also detected the differential phosphorylation of FGFR2 and its downstream mediators(such as RAS and ERK)*** tool pdx SPA is freely available at https://***/LiLab-Proteomics/pdx SPA.

关键词： Patient-derived xenograft model Label-free Shared peptide FGFR2 amplification Biomarker

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Unique Continuation Property with Partial Information for Two-Dimensional Anisotropic Elasticity Systems

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Acta Mathematicae Applicatae Sinica 2020年第1期36卷 3-17页

作者： Jin cheng Yi-kan LIU Yan-bo wang Masahiro YAMAMOTO School of Mathematical Sciences Fudan UniversityShanghai 200433China School of Mathematics Shanghai University of Finance and EconomicsShanghai 200433China Research Institute for Electronic Science Hokkaido UniversitySapporo 060-0812Japan Graduate School of Mathematical Sciences The University of TokyoTokyo 153-8914Japan Academy of Romanian Scientists 54 Splaiul Independentei StreetBucharest 050094Romania Peoples’Friendship University of Russia(RUDN University Moscow 117198Russia

In this paper,we establish a novel unique continuation property for two-dimensional anisotropic elasticity systems with partial *** precisely,given a homogeneous elasticity system in a connected open bounded domain,we investigate the unique continuation by assuming only the vanishing of one component of the solution in a *** the corresponding Riemann function,we prove that the solution vanishes in the whole domain provided that the other component vanishes at one point up to its second ***,we construct several examples showing the possibility of further reducing the additional information of the other *** result possesses remarkable significance in both theoretical and practical aspects because the required data are almost halved for the unique determination of the whole solution.

关键词： anisotropic elasticity system unique continuation,Riemann function

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Data-driven flatness intelligent representation method of cold rolled strip

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Journal of Iron and Steel Research International 2023年第5期30卷 994-1012页

作者： Yang-huan Xu Dong-cheng wang bo-wei Duan Hong-min Liu National Engineering Research Center for Equipment and Technology of Cold Rolling Strip Yanshan UniversityQinhuangdao 066004HebeiChina National Key Laboratory of Metal Forming Technology and Heavy Equipment China National Heavy Machinery Research Institute Co.Ltd.Xi’an 710032ShaanxiChina State Key Laboratory of Metastable Materials Science and Technology Yanshan UniversityQinhuangdao 066004HebeiChina

A high-accuracy flatness prediction model is the basis for realizing flatness *** flatness is typically reflected as the strain distribution,which is a ***,it is difficult to obtain ideal results if the real flatness is directly used as the output value of the flatness intelligent prediction ***,it is necessary to seek an abstract representation method of real *** this reason,two new intelligent flatness representation models were proposed based on the autoencoder of unsupervised learning theory:the flatness autoencoder representation(FAR)model and the flatness stacked sparse autoencoder representation(FSSAR)*** with the traditional Legendre fourth-order polynomial representation model,the representation accuracies of the FAR and FSSAR models are significantly improved,better representing the flatness defects,like the double tight *** optimal number of bottleneck layer neurons in the FAR and FSSAR models is 5,which means that five basic patterns can accurately represent real *** with the FAR model,the FSSAR model has higher representation accuracy,although the flatness basic pattern is more abstract,and the physical meaning is not clear ***,the accuracy of the FAR model is slightly lower than that of the FSSAR ***,it can automatically learn the flatness basic pattern with a very clear physical meaning for both the theoretical and real flatness,which is an optimal intelligent representation method for flatness.

关键词： Cold rolling flatness Data-driven model Unsupervised learning Representation learning Autoencoder bottleneck layer

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Intelligent representation method of image flatness for cold rolled strip

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Journal of Iron and Steel Research International 2024年第5期31卷 1177-1195页

作者： Yang-huan Xu Dong-cheng wang Hong-min Liu bo-wei Duan National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan UniversityQinhuangdao066004HebeiChina National Key Laboratory of Metal Forming Technology and Heavy Equipment China National Heavy Machinery Research Institute Co.Ltd.Xi’an710018ShaanxiChina State Key Laboratory of Metastable Materials Science and Technology Yanshan UniversityQinhuangdao066004HebeiChina

Real flatness images are the bases for flatness detection based on machine vision of cold rolled *** characteristics of a real flatness image are analyzed,and a lightweight strip location detection(SLD)model with deep semantic segmentation networks is *** interference areas in the real flatness image can be eliminated by the SLD model,and valid information can be *** this basis,the concept of image flatness is proposed for the first *** image flatness representation(IFAR)model is established on the basis of an autoencoder with a new *** optimal structure of the bottleneck layer is 16×16×4,and the IFAR model exhibits a good representation ***,interpretability analysis of the representation factors is carried out,and the difference and physical meaning of the representation factors for image flatness with different categories are *** flatness with new defect morphologies(bilateral quarter waves and large middle waves)that are not present in the original dataset are generated by modifying the representation factors of the no wave ***,the SLD and IFAR models are used to detect and represent all the real flatness images on the test *** average processing time for a single image is 11.42 ms,which is suitable for industrial *** research results provide effective methods and ideas for intelligent flatness detection technology based on machine vision.

关键词： Cold rolled strip Image flatness Location detection Representation learning bottleneck layer

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The Important Roles of Water in Protein Folding:an Approach by Single Molecule Force Spectroscopy

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Chinese Journal of Polymer Science 2018年第3期36卷 379-384页

作者： bo cheng Shu-Xun Cui School of Mechanical Engineering North University of ChinaTaiyuan 030051China Key Lab of Advanced Technologies of Materials Ministry of Education of ChinaSouthwest Jiaotong UniversityChengdu 610031China

The single-chain elasticity of a completely unfolded protein （027）8, modules of human cardiac titin） is studied in different liquid environments by the atomic force microscopy （AFM）-based single molecule force spectroscopy （SMFS）. The experimental results show that there is a clear deviation between the force curves obtained in the aqueous and nonaqueous environments. Such a deviation can be attributed to the additional energy consumed by the rearrangement of the bound water molecules around the chain of the completely unfolded （I27）s chain upon stretching in aqueous solution, which is very similar to the partial dehydration process from a denatured/unfolded to a native/folded protein. Through the analysis of the free energy changes involved in protein folding, we conclude that it is due to the weak disturbance of water molecules and the special backbone structures of proteins that the self-assembly of proteins can be achieved in physiological conditions. We speculate that water is likely to be an important criterion for the selection of self-assembling macromolecules in the prebiotic chemical evolution.

关键词： SMFS Protein Folding Water

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Experimental Study on the Wavelengths of Two-Dimensional and Three-Dimensional Freak Waves

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China Ocean Engineering 2023年第1期37卷 154-164页

作者： CUI cheng PAN Wen-bo National Engineering Research Center for Port Hydraulic Construction Technology M.O.T.Tianjin Research Institute of Water Transport EngineeringTianjin 300456China

Freak waves are commonly characterized by strong-nonlinearity, and the wave steepness, which is calculated from the wavelength, is a measure of the degree of the wave nonlinearity. Moreover, the wavelength can describe the locally spatial characteristics of freak waves. Generally, the wavelengths of freak waves are estimated from the dispersion relations of Stokes waves. This paper concerns whether this approach enables a consistent estimate of the wavelength of freak waves. The two-(unidirectional, long-crested) and three-dimensional(multidirectional, shortcrested) freak waves are simulated experimentally through the dispersive and directional focusing of component waves, and the wavelengths obtained from the surface elevations measured by the wave gauge array are compared with the results from the linear, 3rd-order and 5th-order Stokes wave theories. The comparison results suggest that the 3rd-order theory estimates the wavelengths of freak waves with higher accuracy than the linear and 5th-order theories. Furthermore, the results allow insights into the dominant factors. It is particularly noteworthy that the accuracy is likely to depend on the wave period, and that the wavelengths of longer period freak waves are overestimated but the wavelengths are underestimated for shorter period ones. In order to decrease the deviation, a modified formulation is presented to predict the wavelengths of two-and three-dimensional freak waves more accurately than the 3rd-order dispersion relation, by regression analysis. The normalized differences between the predicted and experimental results are over 50% smaller for the modified model suggested in this study compared with the 3rd-order dispersion relation.

关键词： freak wave rogue wave wavelength three-dimension directional spread multidirectional wave

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