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Petroleum Science 2022年第1期19卷 162-179页

作者： San-Yi Yuan Yue Zhao Tao Xie Jie Qi shang-Xu wang State Key Laboratory of Petroleum Resources and Prospecting CNPC Key Laboratory of Geophysical ExplorationChina University of PetroleumBeijing 102249China China Oilfield Services Ltd. TangguTianjin 300452China University of Oklahoma ConocoPhillips School of Geology and GeophysicsNormanOKUSA

Manually picking regularly and densely distributed first breaks(FBs)are critical for shallow velocitymodel building in seismic data ***,it is time *** employ the fullyconvolutional Seg Net to address this issue and present a fast automatic seismic waveform classification method to pick densely-sampled FBs directly from common-shot gathers with sparsely distributed *** feeding a large number of representative shot gathers with missing traces and the corresponding binary labels segmented by manually interpreted fully-sampled FBs,we can obtain a welltrained Seg Net *** any unseen gather including the one with irregular trace spacing is inputted,the Seg Net can output the probability distribution of different categories for waveform *** FBs can be picked by locating the boundaries between one class on post-FBs data and the other on pre-FBs *** land datasets with each over 2000 shots are adopted to illustrate that one well-trained 25-layer Seg Net can favorably classify waveform and further pick fully-sampled FBs verified by the manually-derived ones,even when the proportion of randomly missing traces reaches50%,21 traces are missing consecutively,or traces are missing regularly.

关键词： First-break picking Deep learning Irregular seismic data Waveform classification

Inverse spectral decomposition using an I_p-norm constraint for the detection of close geological anomalies

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Petroleum Science 2020年第6期17卷 1463-1477页

作者： San-Yi Yuan Shan Yang Tie-Yi wang Jie Qi shang-Xu wang State Key Laboratory of Petroleum Resources and Prospecting CNPC Key Laboratory of Geophysical ExplorationChina University of PetroleumBeijing 102249China SINOPEC Petroleum Exploration and Production Research Institute Beijing 100083China ConocoPhillips School of Geology and Geophysics University of OklahomaNormanOK 73019-0390USA

An important application of spectral decomposition(SD)is to identify subsurface geological anomalies such as channels and karst caves,which may be buried in full-band seismic ***,the classical SD methods including the wavelet transform(WT)are often limited by relatively low time-frequency resolution,which is responsible for false high horizonassociated space resolution probably indicating more geological structures,especially when close geological anomalies *** address this issue,we impose a constraint of minimizing an lp(0

关键词： Spectral decomposition Seismic interpretation Inverse problem High resolution Deep exploration

Exciton-Dependent Pre-formation Probability of Composite Particles

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Communications in Theoretical Physics 2007年第6期47卷 1106-1110页

作者： ZHANG Jing-shang wang Ji-Min DUAN Jun-Feng China Institute of Atomic Energy P.O. Box 275（41） Beijing 102413 China

In Iwamoto-Harada model the whole phase space is full of fermions. When the momentum distributions of the exciton states are taken into account, the pre-formation probability of light composite particles could be improved, and the exciton state-dependent pre-formation probability has been proposed. The calculated results indicate that the consideration of the momentum distribution enhances the pre-formation probability of [1, m] configuration, and suppresses that of [ι 〉 1, m] configurations seriously.

关键词： pre-formation probability pre-equilibrium emission

Proteomics Dissection of Cold Responsive Proteins Based on PEG Fractionation in Arabidopsis

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Chemical Research in Chinese Universities 2014年第2期30卷 272-278页

作者： LI Shanyu LIU Xiangguo wang shang HAO Dongyun XI Jinghui College of Plant Science Jilin University Changchun 130062 P.R.China The First Hospital of Jilin University Changchun 130021 P.R.China Biotechnology Research Centre Jilin Academy of Agricultural Sciences Changchun 130124 P.R.China

Proteome profiling was performed on Arabidopsis plant exposed to cold stress at 4 ℃ for 24 h in an attempt to explore the mechanisms of plant climate *** polyethylene glycol（PEG） fractionation protocol developed in this lab was used to identify as many differentially expressed low-abundance proteins as *** comparison with those of the biological controls,67 protein spots with at least two-fold difference in expression were identified for the plant exposed to cold temperatures; and from these spots,50 proteins were successfully identified by matrix-assisted laser desorption/ionization time of flight mass spectrometry（MALDI-TOF MS）.Bioinformatics studies on these proteins show that 57.8％ of these proteins were localized in the *** these proteins,8 ones have functions in photosynthesis,including glycine hydroxymethyltransferase,Rubisco large subunit,Rubisco activase,PSBO2,fructose-1,6-bisphosphate aldolase,NADP-dependent malate dehydrogenase,sedoheptulose bisphosphatase and photosystem Ⅱ reaction center PsbP family protein,suggesting that photosynthesis is greatly affected by cold *** identified proteins were validated by quantitative real-time polymerase chain reaction（qPCR）.Taken together,our results suggest that the chloroplast might also act as a cold stress sensor and that photosynthesis-related proteins may play important roles in cold acclimation for Arabidopsis.

关键词： Arabidopsis thaliana Cold stress Proteome Protein fractionation

Construction of quaternary carbon centers by KOtBu-catalyzed α-homoallylic alkylation of lactams with 1,3-dienes

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Organic Chemistry Frontiers 2022年第6期9卷 1642-1648页

作者： shang wang Yunfei Xiang Tiantian Chen Xiang Wu Dong Xing shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200062China

We report a KOtBu-catalyzed α-homoallylic alkylation of lactams with 1,3-dienes. With this transitionmetal-free and atom-economical protocol, a variety of α-homoallylic alkylated lactams bearingα-quaternary carbon centers were formed in a 2,1-addition manner with excellent regioselectivity. Acation–π interaction between the in situ-generated potassium enolate and the diene is proposed to play akey role in accelerating this transformation.

关键词： quaternary centers catalyzed

Ordering Trees with Fixed Order and Matching Number by Laplacian Spectral Radius

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Journal of Mathematical Research and Exposition 2011年第3期31卷 381-392页

作者： shang wang TAN College of Mathematics and Computational Science China University of Petroleum Shandong 257061 P. R. China

Let T（n,i） be the set of all trees with order n and matching number *** determine the third to sixth trees in T（2i ＋ 1,i） and the third to fifth trees in T（n,i） for n ≥ 2i ＋ 2 with the largest Laplacian spect... 详细信息

关键词： tree matching Laplacian spectral radius.

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基于区块链的云数据完整性审计方案

计算机工程与设计 2024年第8期45卷 2281-2289页

作者：高改梅高茂林党伟超刘春霞白尚旺太原科技大学计算机科学与技术学院山西太原030024

针对云存储数据完整性审计效率低的问题,提出一种基于区块链的云数据完整性审计方案。以树结构保存证据信息,状态通道内完成审计“挑战-验证”,实现高效审计;通过局部置信率随机抽取数据块生成挑战,聚合数据物理性和逻辑性生成挑战对应... 详细信息

针对云存储数据完整性审计效率低的问题,提出一种基于区块链的云数据完整性审计方案。以树结构保存证据信息,状态通道内完成审计“挑战-验证”,实现高效审计;通过局部置信率随机抽取数据块生成挑战,聚合数据物理性和逻辑性生成挑战对应验证证据,实现数据的逻辑性完整验证;智能合约将审计结果打包成交易并保存区块中,实现审计结果的可追踪性。实验结果表明,BCDIAS方案提供数据隐私保护,能抵御单体攻击,整体审计效率提升12.14%,对实际应用场景有一定参考价值。

关键词：区块链云数据存储完整性审计状态通道局部置信率挑战-验证去中心化

Gradient high performance liquid chromatography method for simultaneous determination of ilaprazole and its related impurities in commercial tablets

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Asian Journal of Pharmaceutical Sciences 2015年第2期10卷 146-151页

作者： shang wang Dong Zhang Yingli wang Xiaohong Liu Yan Liu Lu Xu Shenyang Pharmaceutical University No.103Wenhua RoadShenyang 110016China

A methodology(HPLC)proposed in this paper for simultaneously quantitative determination of ilaprazole and its related impurities in commercial tablets was developed and *** chromatographic separation was carried out by gradient elution using an Agilent C8 column(4.6 mm×250 mm,5 mm)which was maintained at 25℃.The mobile phase composed of solvent A(methanol)and solvent B(solution consisting 0.02 mmol/l monopotassium phosphate and 0.025 mmol/l sodium hydroxide)was at a flow rate of 1.0 ml/*** samples were detected and quantified at 237 nm using an ultraviolet absorbance *** curves of all analytes from 0.5 to 3.5 mg/ml were good linearity(r≥0.9990)and recovery was greater than 99.5% for each *** lower limit of detection(LLOD)and quantification(LOQ)of this analytical method were 10 ng/ml and 25 ng/ml for all impurities,*** stress studies indicated that the degradation products could not interfere with the detection of ilaprazole and its related impurities and the assay can thus be considered *** method precisions were in the range of 0.41-1.21 while the instrument precisions were in the range of 0.38-0.95 in terms of peak area RSD% for all impurities,*** method is considered stabilityindicating and is applicable for accurate and simultaneous measuring of the ilaprazole and its related impurities in commercial enteric-coated tablets.

关键词： Ilaprazole Enteric-coated tablets Related impurities HPLC Validation

基于局部-邻域图信息与注意力机制的会话推荐

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计算机工程与设计 2024年第3期45卷 925-931页

作者：党伟超吴非凡高改梅刘春霞白尚旺太原科技大学计算机科学与技术学院山西太原030024

针对基于匿名用户的会话推荐忽略了不同会话之间可能存在的协作信息,以及未考虑所预测的目标项与历史行为的相关性问题,提出一种基于局部-邻域图信息与注意力机制的会话推荐模型(SR-LNG-AM)。从当前会话和邻域会话构建的图结构中分别学... 详细信息

针对基于匿名用户的会话推荐忽略了不同会话之间可能存在的协作信息,以及未考虑所预测的目标项与历史行为的相关性问题,提出一种基于局部-邻域图信息与注意力机制的会话推荐模型(SR-LNG-AM)。从当前会话和邻域会话构建的图结构中分别学习两种类型的项目转换信息,将其融合得到项目嵌入。使用软注意力机制生成全局嵌入,使用目标注意力机制针对不同的目标项自适应生成不同的目标嵌入。结合局部嵌入,进行预测。在两个真实数据集上与多个基线方法进行实验对比,实验指标均有提高,验证了该方法的有效性。

关键词：会话推荐注意力机制图信息邻域会话协作信息目标注意力目标嵌入

呼吸道传染病时空传播风险精细化评估系统构建与应用

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中国卫生信息管理杂志 2024年第5期21卷 653-660页

作者：尹凌刘康梅树江张瑞王尚中国科学院深圳先进技术研究院广东省深圳市518055 深圳市疾病预防控制中心广东省深圳市518073 深圳北斗应用技术研究院有限公司广东省深圳市518055

目的开发多源城市大数据支持下的城市内部呼吸道传染病时空传播风险精细化评估系统,为城市内部实施更加精准的疾病防控提供决策支持。方法本研究面向流感等典型的呼吸道传染病,融合传染病、人群活动、地理环境等多源大数据,以500米网格... 详细信息

目的开发多源城市大数据支持下的城市内部呼吸道传染病时空传播风险精细化评估系统,为城市内部实施更加精准的疾病防控提供决策支持。方法本研究面向流感等典型的呼吸道传染病,融合传染病、人群活动、地理环境等多源大数据,以500米网格为基本空间单元,通过德尔菲法构建高精度传播风险评估模型;通过构建基于人口流动网络的传播动力学模型,实现高精度的呼吸道传染病时空传播模拟,推演未来30天城市内部疾病发展的时空趋势;选取传染病传播高风险区域作为关键的空间防控节点,利用时空传播模拟模型精细化评估不同关键节点防控的效果。结果以深圳市为例,构建了呼吸道传染病时空传播风险精细化评估系统。结论本研究提供了一套面向大型城市内部区域的呼吸道传染病时空传播风险精细化评估系统,能够支持传染病时空扩散趋势的研判,并且能够在疫情发展的不同阶段快速预判高危风险区域防控措施的效果,为呼吸道传染病精准防控提供应急响应的技术和系统储备。

关键词：呼吸道传染病传染病传播模型时空大数据人群移动地理信息决策支持系统