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97篇 您的检索式:作者名="NAGPAL P"
    题名 作者 年代 出处 被引量
1Rank university websites using fuzzy AHP and fuzzy TOPSIS approach on usability显示文摘NAGPAL R MEHROTRA D BHATIA P K 2015International journal of information engineering and electronic business2015,,1:1
2Insidious:takayasu arteritis显示文摘Rodriguez F Degnan KO Nagpal P 2015The American Journal of Medicine2015,128,12:1
3Mutations in the gene for the red/far-red light receptor Phytochrome Baiter- cell elongation and physiological responses throughout Arabidopsis development 显示文摘Reed J W Nagpal P Poole D S 1993Plant Cell1993,5,2:1
4Filtering and smoothing in Hoo setting显示文摘Krishan M Nagpal Pramod P Khargonekar 1991IEEE Trans on Automatic Control1991,36,2:1
5Isolation and characterization of a cDNA clone from Arabidopsis thaliana with partial sequence similarity to integrins显示文摘Nagpal P Quatrano RS 1999Gene1999,230,:1
6Room temperature fracture of Fe-Al alloys显示文摘NAGPAL P BAKER I 1991Materials Characterization1991,27,3:1
7Bioactive peptides derived from milk proteins and their health beneficial potentials : an update 显示文摘NAGPAL R BEHARE P RANA R 2011Food & Function2011,2,1:1
8Attribute Conflict in Consumer Decision Making:The Role of Task Compatibility显示文摘NAGPAL A KRISHNAMURTHY P 2008Journal of Consumer Research2008,35,1:1
9Effect of Trigonella foenum graecum on blood glucose in normal and diabetic rats显示文摘Khosla P Gupta DD Nagpal RK 1995Indian Physiol Pharmacol1995,39,:1
10Auxin response factors ARF6 and ARF8 promote jasmonic acid production and flower maturation 显示文摘Nagpal P Ellis C M Weber H Ploense S E Barkawi LS Guilfoyle T J Hagen G Alonso J M Cohen J D Farmer E E 2005Development2005,132,:1
11Filtering and smoothing in an H∞ setting显示文摘K M Nagpal P P Khaegonekar 1991IEEE Trans1991,36,2:1
12A neural network based methodology to predict site-specific spectral acceleration values显示文摘A general neural network based methodology that has the potential to replace the computationally-intensive site-specific seismic analysis of structures is proposed in this paper. The basic framework of the methodology consists of a feed forward back propagation neural network algorithm with one hidden layer to represent the seismic potential of a region and soil amplification effects. The methodology is implemented and verified with parameters corresponding to Delhi city in India. For this purpose, strong ground motions are generated at bedrock level for a chosen site in Delhi due to earthquakes considered to originate from the central seismic gap of the Himalayan belt using necessary geological as well as geotechnical data. Surface level ground motions and corresponding site-specific response spectra are obtained by using a one-dimensional equivalent linear wave propagation model. Spectral acceleration values are considered as a target parameter to verify the performance of the methodology. Numerical studies carried out to validate the proposed methodology show that the errors in predicted spectral acceleration values are within acceptable limits for design purposes. The methodology is general in the sense that it can be applied to other seismically vulnerable regions and also can be updated by including more parameters depending on the state-of-the-art in the subject.Kamatchi P Rajasankar J Ramana GV Nagpal AK 2010Earthquake Engineering and Engineering Vibration2010,9,4:1
13A role for Brassinosteroids in light-dependent development of Arabidopsis显示文摘Li J Nagpal P Vitart V 1996Science1996,272,:1
14A mutation in the Arabidopsis KT2/KUP2 potassium transporter gene affects shoot cell expansion显示文摘Elumalai R P Nagpal P Reed J W 2002The Plant Cell2002,14,:1
15Filtering and smoothing in an H∞ setting 显示文摘Nagpal K M Khargoneker P P 1991IEEE Transactions on Automatic Control1991,36,2:1
16Filtering and smoothing in an H setting显示文摘Nagpal K M Khargonekar P P 1991Automatic Control1991,36,2:1
17Filtering and smoo-thing in an H∞ setting显示文摘Nagpal K M Kargonekar P P 1991IEEE Transactions on Automatic Control1991,36,2:1
18Factors having implica- tions on re-retinal detachments after silicone oil removal显示文摘Nagpal M P Videkar R P Nagpal K M 2012In- dian J Ophthalmol2012,60,6:1
19Auxin response factors ARF6 and ARF8 promote jasmonic acid production and flower maturation显示文摘NAGPAL P ELLIS C M WEBER H 2005Development2005,132,18:1
20AUXIN RESPONSE FACTOR1 and AUXIN RESPONSE FACTOR2 regulate senescence and floral organ abscission in Arabidopsis thaliana显示文摘ELLIS C M NAGPAL P YOUNG J C HAGEN G GUILFOYLE T J REED J W 2005Development2005,132,20:1
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