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基于网络药理学和分子对接技术探讨黄芪桂枝五物汤治疗糖尿病周围神经病变和类风湿性关节炎“异病同治”的作用机制

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环球中医药 2024年第3期17卷 426-438页

作者：王惠敏王欢欢冯梅高源董莹莹柏冬陕西中医药大学基础医学院咸阳712046 中国中医科学院中医基础理论研究所

目的运用网络药理学方法和分子对接技术,从益气活血的角度探讨黄芪桂枝五物汤治疗糖尿病周围神经病变(diabetic peripheral neuropathy, DPN)和类风湿性关节炎(rheumatoid arthritis, RA)“异病同治”的作用机制。方法本研究运用网络... 详细信息

目的运用网络药理学方法和分子对接技术,从益气活血的角度探讨黄芪桂枝五物汤治疗糖尿病周围神经病变(diabetic peripheral neuropathy, DPN)和类风湿性关节炎(rheumatoid arthritis, RA)“异病同治”的作用机制。方法本研究运用网络药理学,从中医“同治异病”的角度探讨黄芪桂枝五物汤治疗DPN、RA的作用机制。结果黄芪桂枝五物汤治疗DPN、RA都采用了益气温经、和血通痹的治疗方法,证实了DPN、RA在其证候特点的相同点,也推出了两者“异病同治”的客观存在性。黄芪桂枝五物汤对DPN和RA的治疗作用主要是通过整体调控晚期糖基化终末产物(advanced glycosylation end products, AGEs)—糖基化终末产物受体(receptor of AGEs, RAGE)信号通路实现的,但对不同病变有不同的侧重点。DPN的治疗主要通过抑制神经元凋亡和刺激突触再生来保护神经。RA的治疗往往依赖于对肿瘤坏死因子(transforming necrosis factor, TNF)信号通路、Toll样受体(Toll-like receptors, TLRs)信号通路、白介素17(interleukin 17,IL-17)信号通路等炎症相关通路的调节,以减少炎性因子,调节免疫。结论黄芪桂枝五物汤可通过相同途径和不同途径治疗DPN、RA,两者虽有相通之处和内在联系,但也有不同之处,故应着眼于不同的方向,为研究提供新的启示。

关键词：黄芪桂枝五物汤网络药理学分子对接异病同治糖尿病周围神经病变类风湿性关节炎

Rationally pairing photoactive materials for high-performance polymer solar cells with efficiency of 16.53%

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Science China Chemistry 2020年第2期63卷 265-271页

作者： Yue Wu Yan Zheng Hang Yang Chenkai Sun yingying dong Chaohua Cui He Yan Yongfang Li Laboratory of Advanced Optoelectronic Materials College of ChemistryChemical Engineering and Materials ScienceSoochow UniversitySuzhou 215123China CAS Research/Education Center for Excellence in Molecular Sciences CAS Key Laboratory of Organic SolidsInstitute of ChemistryChinese Academy of SciencesBeijing 100190China Department of Chemistry Energy Institute and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and ReconstructionHong Kong University of Science and TechnologyClear Water Bay KowloonHong KongChina

The emergence of non-fullerene acceptors(NFA) offers a promising opportunity to develop high-performance donor/acceptor pairs with high power conversion efficiency,as NFAs offer tunable energy levels,broad absorption and suitable aggregation *** order to enhance light-harvesting capability of active layers,we choose a wide bandgap polymer PTQ10 as the donor to blend with a narrow bandgap NFAY6 as the *** comparison with PTQ10:IDIC blend,~130 nm red-shifted absorption spectrum is observed in the PTQ10:Y6 blend,which potentially enhance the short-circuit current density(Jsc) for the *** addition,the optimal PTQ10:Y6 blend shows higher photoluminescence quenching efficiency and more efficient charge separation,higher charge mobilities,as well as weaker bimolecular recombination over the PTQ10:IDIC blend,which leads to an outstanding power conversion efficiency(PCE) of 16.53%,with a notable Jsc of 26.65 mA cm^-2 and fill factor(FF) of 0.751.

关键词： polymer solar cells polymer donor nonfullerene acceptor power conversion efficiency

Differentiation of Wheat Diseases and Pests Based on Hyperspectral Imaging Technology with a Few Specific Bands

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Phyton-International Journal of Experimental Botany 2023年第2期92卷 611-628页

作者： Lin Yuan Jingcheng Zhang Quan Deng yingying dong Haolin Wang Xiankun Du School of Information Engineering Zhejiang University of Water Resources and Electric PowerHangzhou310018China School of Automation Hangzhou Dianzi UniversityHangzhou310018China Aerospace Information Research Institute Chinese Academy of SciencesBeijing100094China

Hyperspectral imaging technique is known as a promising non-destructive way for detecting plants diseases and *** most previous studies,the utilization of the whole spectrum or a large number of bands as well as the complexity of model structure severely hampers the application of the technique in *** a detection system can be established with a few bands and a relatively simple logic,it would be of great significance for *** study established a method for identifying and discriminating three commonly occurring diseases and pests of wheat,i.e.,powdery mildew,yellow rust and aphid with a few specific *** a comprehensive spectral analysis,only three bands at 570,680 and 750 nm were selected.A novel vegetation index namely Ratio Triangular Vegetation Index(RTVI)was developed for detecting anomalous areas on ***,the Support Vector Machine(SVM)method was applied to construct the discrimination model based on the spectral ratio *** validating results suggested that the proposed method with only three spectral bands achieved a promising accuracy with the Overall Accuracy(OA)of 83%.With three bands from the hyperspectral imaging data,the three wheat diseases and pests were successfully detected and discriminated.A stepwise strategy including background removal,damage lesions recognition and stresses discrimination was *** present work can provide a basis for the design of low cost and smart instruments for disease and pest detection.

关键词： Winter wheat diseases pests hyperspectral imaging discriminant analysis

电力应急物资供应保障体系建设研究——云南电力应急物资保障实践

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云南电力技术 2024年第2期52卷 8-12,25页

作者：刘通郭素平顾光恒董莹莹杨帆南方电网供应链(云南)有限公司云南昆明650051

在自然灾害突发时期,电力设施设备受损将造成严重事故,需要大量电力物资供应,如何有效控制电力应急物资响应时间,构建物资供应保障体系,成为研究重点。笔者通过梳理电力应急物资供应目前存在的问题,尝试构建电力应急物资供应保障体系,... 详细信息

在自然灾害突发时期,电力设施设备受损将造成严重事故,需要大量电力物资供应,如何有效控制电力应急物资响应时间,构建物资供应保障体系,成为研究重点。笔者通过梳理电力应急物资供应目前存在的问题,尝试构建电力应急物资供应保障体系,从编制应急手册,健全应急机构,优化寻源机制、历年应急物资供应分析、仓网结构,集中管理,“平战结合”等多方面建立应急物资供应保障体系。最后,例举2022年春云南省雨雪冰冻灾害案例,分析研究电力应急物资供应保障体系建立的必要性及成果价值。

关键词：电力物资应急物资供应应急保障体系物资调配

Remote sensing retrieval of winter wheat leaf area index and canopy chlorophyll density at different growth stages

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Big Earth Data 2022年第4期6卷 580-602页

作者： Naichen Xing Wenjiang Huang Huichun Ye yingying dong Weiping Kong Yu Ren Qiaoyun Xie Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing China University of Chinese Academy of Sciences Beijing China Key Laboratory of Earth Observation Aerospace Information Research InstituteChinese Academy of SciencesSanyaChina Key Laboratory of Quantitative Remote Sensing Information Technology Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina University of Technology Sydney SydneyAustralia

Leaf area index(LAI)and canopy chlorophyll density(CCD)are key indicators of crop growth *** this study,we compared several vegetation indices and their red-edge modified counterparts to evaluate the optimal red-edge bands and the best vegetation index at different growth *** indices were calculated with Sentinel-2 MSI data and hyperspectral *** performances were validated against ground measurements using R2,RMSE,and *** results suggest that indices computed with hyperspectral data exhibited higher R2 than multispectral data at the late jointing stage,head emergence stage,and filling ***,rededge modified indices outperformed the traditional indices for both data *** models indicated that the indices with short red-edge wavelengths showed better estimation at the early joint-ing and milk development stage,while indices with long red-edge wavelength estimate the sought variables better at the middle three *** results were consistent with the red-edge inflec-tion point shift at different growth *** best indices for Sentinel-2 LAI retrieval,Sentinel-2 CCD retrieval,hyperspectral LAI retrieval,and hyperspectral CCD retrieval at five growth stages were determined in the *** results are beneficial to crop trait monitoring by providing references for crop biophysical and bio-chemical parameters retrieval.

关键词： Growth stages hyperspectral red-edge band Sentinel-2 vegetation index

Impact of spectral interval on wavelet features for detecting wheat yellow rust with hyperspectral data

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International Journal of Agricultural and Biological Engineering 2018年第6期11卷 138-144页

作者： Jingcheng Zhang Bin Wang Xuexue Zhang Peng Liu yingying dong Kaihua Wu Wenjiang Huang College of Life Information Science and Instrument Engineering Hangzhou Dianzi UniversityHangzhou 310018China Key laboratory of Digital Earth Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100094 China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China

Detection of yellow rust using hyperspectral data is of practical importance for disease control and *** an emerging spectral analysis method,continuous wavelet analysis(CWA)has shown great potential for the detection of plant diseases and *** the spectral interval of airborne or spaceborne hyperspectral sensor data differ greatly,it is important to understand the impact of spectral interval on the performance of CWA in detecting yellow rust in winter wheat.A field experiment was conducted which obtained spectral measurements of both healthy and disease-infected *** impacts of the mother wavelet type and spectral interval on disease detection were *** results showed that spectral features derived from all four mother wavelet types exhibited sufficient sensitivity to the occurrence of yellow *** Mexh wavelet slightly outperformed the others in estimating disease *** the detecting accuracy generally declined with decreasing of spectral interval,relatively high accuracy levels were maintained(R^(2)>0.7)until a spectral interval of 16 ***,it is recommended that the spectral interval of hyperspectral data should be no larger than 16 nm for the detection of yellow *** relatively loose spectral interval requirement permits extensive applications for disease detection with hyperspectral imagery.

关键词： continuous wavelet analysis spectral interval hyperspectral data wheat yellow rust

自适应权重的均值和快速中值滤波融合算法的研究

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计算机与数字工程 2024年第3期52卷 700-704页

作者：李子旋杨宇黄双双赵雪寒董莹莹中国联合网络通信有限公司网络AI中心南京210000

针对传统的图像处理中的加权快速中值滤波和均值滤波存在的缺陷,提出一种新的带自适应权重系数的均值和快速中值滤波融合算法来优化图像处理过程,以满足现代目前安防监控系统实时、高质量、高清晰度的要求。该算法综合了快速中值滤波和... 详细信息

针对传统的图像处理中的加权快速中值滤波和均值滤波存在的缺陷,提出一种新的带自适应权重系数的均值和快速中值滤波融合算法来优化图像处理过程,以满足现代目前安防监控系统实时、高质量、高清晰度的要求。该算法综合了快速中值滤波和均值滤波的优势,在提高图像处理速度的同时改善了图片的质量,对于智能视觉的应用与推广具有重要意义。

关键词：智能视觉权重自适应快速中值滤波均值滤波

Identification of banana fusarium wilt using supervised classification algorithms with UAV-based multi-spectral imagery

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International Journal of Agricultural and Biological Engineering 2020年第3期13卷 136-142,I0001页

作者： Huichun Ye Wenjiang Huang Shanyu Huang Bei Cui yingying dong Anting Guo Yu Ren Yu Jin Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100094China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China Key Laboratory of Earth Observation Hainan ProvinceSanya 572029China Chinese Academy of Agricultural Engineering Planning&Design Beijing 100125China University of Chinese Academy of Sciences Beijing 100049China School of Electronics and Information Engineering Anhui UniversityHefei 230601China

The disease of banana Fusarium wilt currently threatens banana production areas all over the *** and large-area monitoring of Fusarium wilt disease is very important for the disease treatment and crop planting *** objective of this study was to evaluate the performance of supervised classification algorithms such as support vector machine(SVM),random forest(RF),and artificial neural network(ANN)algorithms to identify locations that were infested or not infested with Fusarium *** unmanned aerial vehicle(UAV)equipped with a five-band multi-spectral sensor(blue,green,red,red-edge and near-infrared bands)was used to capture the multi-spectral imagery.A total of 139 ground sample-sites were surveyed to assess the occurrence of banana Fusarium *** results showed that the SVM,RF,and ANN algorithms exhibited good performance for identifying and mapping banana Fusarium wilt disease in UAV-based multi-spectral *** overall accuracies of the SVM,RF,and ANN were 91.4%,90.0%,and 91.1%,respectively for the pixel-based *** RF algorithm required significantly less training time than the SVM and ANN *** maps generated by the SVM,RF,and ANN algorithms showed the areas of occurrence of Fusarium wilt disease were in the range of 5.21-5.75 hm2,accounting for 36.3%-40.1%of the total planting area of bananas in the study *** results also showed that the inclusion of the red-edge band resulted in an increase in the overall accuracy of 2.9%-3.0%.A simulation of the resolutions of satellite-based imagery(i.e.,0.5 m,1 m,2 m,and 5 m resolutions)showed that imagery with a spatial resolution higher than 2 m resulted in good identification accuracy of Fusarium *** results of this study demonstrate that the RF classifier is well suited for the identification and mapping of banana Fusarium wilt disease from UAV-based remote sensing *** results provide guidance for disease treatment and crop planting adjustments.

关键词： banana fusarium wilt UAV-based multi-spectral remote sensing support vector machine artificial neural network random forest

Characterization of the Rice Canopy Infested with Brown Spot Disease Using Field Hyperspectral Data

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Wuhan University Journal of Natural Sciences 2012年第1期17卷 86-92页

作者： ZHAO Jinling ZHANG dongyan LUO Juhua dong yingying YANG Hao HUANG Wenjiang Beijing Research Center for Information Technology inAgriculture Beijing Academy of Agriculture and ForestrySciences Beijing 100097 China . Institute of Remote Sensing Applications Chinese Academyof Sciences Beijing 100101 China

Based on the field hyperspectral data from the analytical spectral devices （ASD） spectrometer, we characterized the spectral properties of rice canopies infested with brown spot disease and selected spectral regions and bands sensitive to four severity degrees （severe, moderate, light, and healthy）. The results show that the curves＇ variation on the original and the first- and second-order de- rivative curves are greatly different, but the spectral difference in the near-infrared region is the most obvious for each level. Specifically, the peaks are located at 822, 738, and 793 nm, while the valleys are located at 402, 570, and 753 run, respectively. The sensitive regions are between 430-520, 530-550, and 650-710 nm, and the bands are 498, 539, and 673 nm in the sensitivity analysis, while they are in the ranges of 401-530, 550-730 as well as at 498 nm and 678 nm in the continuum removal.

关键词： rice brown spot disease sensitive bands disease severity degree derivative transformation spectra continuum removal method sensitivity analysis method