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大区域TM影像归一化植被指数季相归一化处理方法 被引量:5
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作者 陈贤干 汪小钦 陈芸芝 《遥感信息》 CSCD 北大核心 2015年第6期81-88,共8页
针对高分辨率遥感监测植被时大范围获取影像的季相往往不一致,影响了归一化植被指数的连续性与可比性问题,借助MODIS归一化植被指数产品,开展TM归一化植被指数季相归一化方法研究。以福建省为例,分析不同季相MODIS归一化植被指数之间的... 针对高分辨率遥感监测植被时大范围获取影像的季相往往不一致,影响了归一化植被指数的连续性与可比性问题,借助MODIS归一化植被指数产品,开展TM归一化植被指数季相归一化方法研究。以福建省为例,分析不同季相MODIS归一化植被指数之间的一次项、二次项最小二乘关系及差值关系,对比分析转换结果。结果表明,二次项关系优于其他两种效果,较好地消除归一化植被指数时相不一致问题,获得了较为满意的效果。利用MODIS归一化植被指数构建二次项,完成福建省TM归一化植被指数季相归一化,消除了不同景影像间的季相不一致,使在大区域范围内归一化植被指数具有空间上的可比性和一致性。 展开更多
关键词 MODIS NDVI 归一化方法 TM NDVI 季相差异 最小二乘关系
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Structural features of substituted triazole-linked chalcone derivatives as antimalarial activities against D_(10) strains of Plasmodium falciparum: A QSAR approach
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作者 Mukesh C.Sharma 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第10期3738-3744,共7页
A quantitative structure–activity relationship(QSAR) was performed to analyze antimalarial activities against the D10 strains of Plasmodium falciparum of triazole-linked chalcone and dienone hybrid derivatives using ... A quantitative structure–activity relationship(QSAR) was performed to analyze antimalarial activities against the D10 strains of Plasmodium falciparum of triazole-linked chalcone and dienone hybrid derivatives using partial least squares regression coupled with stepwise forward–backward variable selection method. QSAR analyses were performed on the available IC50 D10 strains of Plasmodium falciparum data based on theoretical molecular descriptors. The QSAR model developed gave good predictive correlation coefficient(r2) of 0.8994, significant cross validated correlation coefficient(q2) of 0.7689, r2 for external test set)(2predr of 0.8256, coefficient of correlation of predicted data set)(2sepred,r of 0.3276. The model shows that antimalarial activity is greatly affected by donor and electron-withdrawing substituents. The study implicates that chalcone and dienone rings should have strong donor and electron-withdrawing substituents as they increase the activity of chalcone. Results show that the predictive ability of the model is satisfactory, and it can be used for designing similar group of antimalarial compounds. The findings derived from this analysis along with other molecular modeling studies will be helpful in designing of the new potent antimalarial activity of clinical utility. 展开更多
关键词 quantitative structure–activity relationship(QSAR) CHALCONE ANTIMALARIAL Plasmodium falciparum stepwise forward–backward partial least squares
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Professional Board Members and Firm's Performance
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作者 Salman Afkhami Rad Stuart Locke Krishna Reddy 《Journal of Modern Accounting and Auditing》 2012年第9期1338-1345,共8页
This paper explores the connection between company director membership of a professional institute of directors and the financial performance of their companies. Prior research has established links between various go... This paper explores the connection between company director membership of a professional institute of directors and the financial performance of their companies. Prior research has established links between various governance variables and financial performance, and this study extends this work to the realm of professional directors. It is timely in New Zealand to ask whether directors need to be members of a professional body as the financial markets authority is now prosecuting directors of failed companies and has promulgated new regulations concerning the offering of financial advice. Would directors who are bound by an ethics code and committed to ongoing professional development be good for shareholders? The issue whether membership enhances financial performance is addressed in this paper. An ordinary least square regression was employed and a statistically significant positive relationship among boards that had institute of director (IOD) members and financial performance was found. 展开更多
关键词 institute of director (IOD) corporate governance board of directors and financial performance
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Determination of Soil Parameters in Apple-Growing Regions by Near-and Mid-Infrared Spectroscopy 被引量:8
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作者 DONG Yi-Wei YANG Shi-Qi +5 位作者 XU Chun-Ying LI Yu-Zhong BAI Wei FAN Zhong-Nan WANG Ya-Nan LI Qiao-Zhen 《Pedosphere》 SCIE CAS CSCD 2011年第5期591-602,共12页
Soil quality monitoring is important in precision agriculture.This study aimed to examine the possibility of assessing the soil parameters in apple-growing regions using spectroscopic methods.A total of 111 soil sampl... Soil quality monitoring is important in precision agriculture.This study aimed to examine the possibility of assessing the soil parameters in apple-growing regions using spectroscopic methods.A total of 111 soil samples were collected from 11 typical sites of apple orchards,and the croplands surrounding them.Near-infrared(NIR) and mid-infrared(MIR) spectra,combined with partial least square regression,were used to predict the soil parameters,including organic matter(OM) content,pH,and the contents of As,Cu,Zn,Pb,and Cr.Organic matter and pH were closely correlated with As and the heavy metals.The NIR model showed a high prediction accuracy for the determination of OM,pH,and As,with correlation coefficients(r) of 0.89,0.89,and 0.90,respectively.The predictions of these three parameters by MIR showed reduced accuracy,with r values of 0.77,0.84,and 0.92,respectively.The heavy metals could also be measured by spectroscopy due to their correlation with organic matter.Both NIR and MIR had high correlation coefficients for the determination of Cu,Zn,and Cr,with standard errors of prediction of 2.95,10.48,and 9.49 mg kg-1 for NIR and 3.69,5.84,and 6.94 mg kg-1 for MIR,respectively.Pb content behaved differently from the other parameters.Both NIR and MIR underestimated Pb content,with r values of 0.67 and 0.56 and standard errors of prediction of 3.46 and 2.99,respectively.Cu and Zn had a higher correlation with OM and pH and were better predicted than Pb and Cr.Thus,NIR spectra could accurately predict several soil parameters,metallic and nonmetallic,simultaneously,and were more feasible than MIR in analyzing soil parameters in the study area. 展开更多
关键词 heavy metals partial least square regression prediction accuracy soil quality spectroscopic method
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