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Green Chemical Engineering 2022年第1期3卷 5-14页

作者： yicong wang Shanshan wang Leilei Liu Key Laboratory of Hunan Forest Products and Chemical Industry Engineering Jishou UniversityZhangjiajie427000China

Due to environmental protection requirements,extraction of bioactive compounds from plant materials using environment-friendly green solvents has always been a research *** great efforts of scholars have been made in this direction,as well as environment-friendly solvents have been used to develop many innovative extraction *** liquids(ILs)and deep eutectic solvents(DESs)are two kinds of typical designable green solvents,which are potential replacements for traditional volatile organic solvents used for *** the substances action of inorganic salts or polymers,ILs/DESs can form an aqueous two-phase system(ATPS),which has obvious advantages for separating natural *** paper discussed the phase separation principle of ILs/DESs-based ATPSs and reviewed the applications in the extraction of natural active molecules in recent years,as well as to promote the development of separation of the active constituents in Chinese materia medica.

关键词： Ionic liquids Deep eutectic solvents Aqueous two-phase system Natural active molecules Extraction and separation

HESSIAN MATRIX BASED SADDLE POINT DETECTION FOR GRANULES SEGMENTATION IN 2D IMAGE

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Journal of Electronics(China) 2008年第6期25卷 728-736页

作者： Chen Ken wang yicong Yang Rener College of Information Science and Engineering Ningbo University Zhejiang 315211 China

Segmenting the touching objects in an image has been remaining as a hot subject due to the problematic complexities, and a vast number of algorithms designed to tackle this issue have come into being since a decade ago. In this paper, a new granule segmentation algorithm is developed using saddle point as the cutting point. The image is binarized and then sequentially eroded to form a gray-scale topographic counterpart, followed by using Hessian matrix computation to search for the saddle point. The segmentation is performed by cutting through the saddle point and along the maximal gradient path on the topographic surface. The results of the algorithm test on the given real images indicate certain superiorities in both the segmenting robustness and execution time to the referenced methods.

关键词： Hessian matrix Image segment Saddle point Touching objects

Health assessment of plantations based on LiDAR canopy spatial structure parameters

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International Journal of Digital Earth 2022年第1期15卷 712-729页

作者： Pengyu Meng Hong wang Shuhong Qin Xiuneng Li Zhenglin Song yicong wang Yi Yang Jay Gao School of Hydrology and Water resources Hohai UniversityNanjingPeople’s Republic of China School of Earth Science and Engineering Hohai UniversityNanjingPeople’s Republic of China School of Environment Faculty of ScienceUniversity of AucklandAucklandNew Zealand

The Yellow River Delta(YRD)has China's largest artificial Robinia pseudoacacia forest,which was planted in the late 1970s and suffered extensive dieback in the *** health grade of the *** forest(named canopy vigor grade,CVG)could be achieved by using high-resolution images and canopy vigor indicators(CVIs).However,a previous study showed that there was no significant correlation between CVG and the field-estimated aboveground biomass(AGB)of *** ***,this study aims to construct forest health indicators(FHIs)based on canopy spatial structure parameters extracted from *** FHIs included Weibull_α(the scale parameter of the Weibull density function that reflects the shape of the tree canopy),VCI(vertical complexity index),sdCC(the standard deviation of canopy cover),H99(the 99th percentile height)and cvLAD(the coefficient of variation of leaf area density),and could significantly distinguish three forest health grades(FHG)(p<0.05).The FHG was positively correlated with forest AGB(rs=0.51,p=0.004),and the similarity value with CVG was 63.33%.The results of this study confirmed that the FHIs can reflect both canopy vigor and tree productivity,and distinguish forest health status without prior classification information.

关键词： Forest health indicators LiDAR structural parameter Robinia pseudoacacia forest the Yellow River Delta

ESTIMATION OF ROCK-AGGREGATE VOLUME BASED ON PCA AND LM-OPTIMIZED NEURAL NETWORK

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Journal of Electronics(China) 2009年第6期26卷 825-830页

作者： Zhao Pan Chen Ken wang yicong Zhang Yun College of Information Science and Engineering Ningbo University Ningbo 315211 China

In granule processing industries, acquisition of particle size and shape parameters is a common procedure, and volumetric measurement is of great importance in dealing with particle sizing and gradation. To eradicate the major drawbacks with manual gauge, this paper proposes an optical approach using Back Propagation （BP） neural network to estimate the particle volume based on the two-Dimensional （2D） image information. To achieve the better network efficiency and structure simplicity, Principal Component Analysis （PCA） is adopted to reduce the dimensions of network inputs To overcome the shortcomings of generic BP network for being slow to converge and vulnerable to being trapped in local minimum, Levenberg-Marquardt （LM） algorithm is applied to achieve a higher speed and a lower error rate. The real particle data is utilized in training and testing the presented network. The experimental result suggests that the proposed neural network is capable of estimating aggregate volume with satisfactory precision and superior to the generic BP network in terms of perforxnance capacity.

关键词： Particle image Particle parameters Principal Component Analysis (PCA) Neuralnetwork Volume estimation

Tirofiban combined with Aspirin in the Treatment of Acute Penetrating Artery Territory Infarction (STRATEGY): protocol for a multicentre, randomised controlled trial

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Stroke & Vascular Neurology 2024年第1期9卷 75-81,I0047-I0052页

作者： Xiaoling Liao Shuo Feng yicong wang Yuesong Pan Weiqi Chen Hui Qu Xingquan Zhao Liping Liu Yongjun wang Yilong wang Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijingChina China National Clinical Research Center for Neurological Diseases Beijing TiantanHospitalCapital Medical UniversityBeijingChina Chinese Institute for Brain Research BeijingChina National Center for Neurological Diseases BeijingChina Advanced Innovation Center for Human Brain Protection Capital Medical UniversityBeijingChina Beijing Laboratory of Oral Health Capital Medical UniversityBeijingChina

Background Perforating artery territorial infarction(PAI)caused by branch atheromatous disease(BAD)is prone to recurrence and early progression without an effective and well-documented antiplatelet treatment ***,an adjunctive antiplatelet agent,has shown great potential to treat acute ischaemic ***,whether the combination of tirofiban and aspirin can improve the prognosis of PAI remains *** To explore an effective and safe antiplatelet regimen for reducing the risk of recurrence and early neurological deterioration(END)in PAI caused by BAD by comparing the tirofiban and aspirin combination with placebo and aspirin *** Tirofiban combined with Aspirin in the Treatment of Acute Penetrating Artery Territory Infarction(STRATEGY)trial is an ongoing multicentre,randomised,placebo-controlled trial in *** patients shall be randomly assigned to receive standard aspirin with tirofiban or placebo on the first day and standard aspirin from days 2 to *** primary endpoint is a new stroke or END within 90 *** primary safety endpoint is severe or moderate bleeding within 90 *** The STRATEGY trial will assess whether tirofiban combined with aspirin is effective and safe in preventing recurrence and END in patients with *** registration number NCT05310968.

关键词： Aspirin regimen centre

AGGREGATE IMAGE BASED TEXTURE IDENTIFICATION USING GRAY LEVEL CO-OCCURRENCE PROBABILITY AND BP NEURAL NETWORK

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Journal of Electronics(China) 2009年第3期26卷 428-432页

作者： Chen Ken wang yicong Zhao Pan Larry E. Banta Zhao Xuemei College of Information Science and Engineering Ningbo University Ningbo 315211 China College of Engineering West Virginia University WV 26506 USA

Classifying the texture of granules in 2D images has aroused manifold research atten-tion for its technical challenges in image processing *** letter presents an aggregate texture identification approach by jointly using Gray Level Co-occurrence Probability(GLCP) and BP neural network ***, up to 8 GLCP-associated texture feature parameters are defined and computed, and these consequent parameters next serve as the inputs feeding to the BP neural network to calculate the similarity to any of given aggregate texture type.A finite number of aggregate images of 3 kinds, with each containing specific type of mineral particles, are put to the identification test, experimentally proving the feasibility and robustness of the proposed method.

关键词： Aggregate image Texture identification Gray Level Co-occurrence Probability(GLCP) BP neural network

Spatio-temporal Change Characteristics of Summer Mean Temperature in Northeast China during 1974-2004 Based on Geostatistics

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Meteorological and Environmental Research 2013年第2期4卷 1-4页

作者： yicong wang Gengxin Li Yanhua Wu Shuqing wang School of Land Science Technology China University of Geosciences (Beijing)

[ Objective] The research aimed to study the spatio-temporal change characteristics of summer mean temperature in northeast China during 1974 -2004 based on geostatistics. [ Method ] By combining climate tendency rate with geostatistics, the spatio-temporal change characteris- tics of summer mean temperature in northeast China during 1974 -2004 were discussed. [ Result] Summer mean temperature distribution in north- east China for many years showed a trend of decreasing from south and west to north and east. Summer mean temperature in northeast China overall showed rise trend, and the biggest temperature rise magnitude was in Liaoning Province. Summer average temperature in 1994 was significantly higher than that in other years, and climate was abnormal. The rise speed of summer mean temperature in northeast China showed a trend of decreasing from southeast Jilin Province to other areas. [ Conclusion ] The research contributed to recognize spatio-temporal structure and change characteristics of the temperature in northeast China.

关键词： Temperature Geostatistics Climate tendency rate Temporal and spatial evolution China

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基于混频数据的中国金融周期波动测度

统计与决策 2022年第11期38卷 139-144页

作者：王艺枞东北财经大学马克思主义学院辽宁大连116025

为对我国金融业运行情况进行全面和及时的监测,文章采用景气分析法筛选出六个金融一致指标,基于混频动态因子模型构建了我国金融景气指数,并提出金融周期划分准则,对2002—2019年我国金融周期波动进行了详细测度和分析。结果显示,样本... 详细信息

为对我国金融业运行情况进行全面和及时的监测,文章采用景气分析法筛选出六个金融一致指标,基于混频动态因子模型构建了我国金融景气指数,并提出金融周期划分准则,对2002—2019年我国金融周期波动进行了详细测度和分析。结果显示,样本期内我国金融业增长已经历了三轮完整“谷-谷”周期,平均持续期为51个月,总体上体现为“缓增速降”的长扩张型非对称特征。金融周期与经济周期之间存在一定先行关系,且这种先行关系在2012年之前更稳定,而在2014—2016年二者存在偏离。2016年以后,金融周期的振幅逐渐减小,周期波动更加温和。

关键词：金融周期景气指数转折点判别混频动态因子模型

维普期刊数据库博看期刊

Applicable Spatial Distribution Pattern of Green Space System in Emerging Towns——A Case Study of Gu'an County, China

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Journal of Landscape Research 2012年第8期4卷 37-40,43页

作者： wang yicong HUANG Zan LI Yao LIU Chao Urban Planning and City Design Institute Chinese Academy of Social Science Beijing Long' an Tongchen Planning and Architectural Design Co. Ltd.

In the context of the rapid development of urbanization in China, the development of emerging town shows a high-speed prosperity. This paper describes current situation of the emerging urban green space system and analyzes different characteristics between current green spaces and the old city or existing urban green space. Considering green space system planning in the downtown area of Gu'an County, advantages of the "network + patch" layout for green space systems in emerging towns are summarized to explore a green space structure suited to these towns.

关键词： Emerging towns Green space system Spatial layout

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基于混频数据的中国交通运输业一致指数构建

统计与决策 2021年第16期37卷 61-65页

作者：王艺枞东北财经大学马克思主义学院辽宁大连116025

文章采用景气分析法筛选出6个交通运输业一致指标,采用混频动态因子模型构建我国交通运输业月度一致指数,对我国交通运输业的景气波动进行了详细测定和分析。结果显示,我国交通运输业增长已经历了三轮短周期波动,平均周期长度为51个月,... 详细信息

文章采用景气分析法筛选出6个交通运输业一致指标,采用混频动态因子模型构建我国交通运输业月度一致指数,对我国交通运输业的景气波动进行了详细测定和分析。结果显示,我国交通运输业增长已经历了三轮短周期波动,平均周期长度为51个月,总体呈现"短扩张、长收缩"且"急增缓降"型非对称周期特征。金融危机后,特别是经济进入新常态以来,交通运输业景气呈现与此前不同的平稳波动、低位运行的新特征。

关键词：交通运输业一致指数混频动态因子模型周期监测