Euphorbia herman-schwartzii

Known as: Euphorbia hermanschwartzii 
 
National Institutes of Health

Topic mentions per year

Topic mentions per year

1994-2015
01219942015

Papers overview

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2013
2013
The poweRlaw package provides an easy to use interface for fitting and visualising heavy tailed distributions, including power… (More)
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2012
2012
  • Ernest O’Boyle
  • 2012
In the field of human resources management, organizational behaviour and industrial and organizational psychology, the assumption… (More)
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2012
2012
  • John David Sangster
  • 2012
................................................................................................................................... 7 INTRODUCTION .......................................................................................................................... 8 NATURALISTIC DRIVING DATA ............................................................................................. 8 Data Collection ........................................................................................................................... 8 Data Selection ............................................................................................................................. 9 Event Processing ......................................................................................................................... 9 Data Validation ......................................................................................................................... 11 Smoothing and Interpolating Data Elements ............................................................................ 12 Summary of the Data Reduction Process.................................................................................. 13 SUMMARY OF DATA ANALYZED ......................................................................................... 14 TRAFFIC SIMULATION CAR-FOLLOWING MODELS ........................................................ 16 Gaxis-Herman-Rothery (GHR) Model ..................................................................................... 16 Gipps Model.............................................................................................................................. 17 Intelligent Driver Model (IDM) ................................................................................................ 18 Rakha-Pasumarthy-Adjerid (RPA) Model ................................................................................ 18 PARAMETER CALIBRATION .................................................................................................. 20 Discrete Time Generation of Vehicle Trajectories ................................................................... 20 Parameter Feasible Ranges ....................................................................................................... 21 Optimization Functions to Match Simulated and Observed Results ........................................ 21 RESULTS OF PARAMETER CALIBRATION .......................................................................... 22 CONCLUSIONS AND RECOMMENDATIONS ....................................................................... 27 ACKNOWLEDGEMENT ............................................................................................................ 28 ABSTRACT .................................................................................................................................. 30................................................................................................................................. 30 INTRODUCTION ........................................................................................................................ 30 DATASET .................................................................................................................................... 31 THE RAKHA-PASUMARTHY-ADJERID CAR-FOLLOWING MODEL ............................... 32 First-order Steady-state Car-following Model .......................................................................... 32 Collision Avoidance Model ...................................................................................................... 33 Vehicle Dynamics Model ......................................................................................................... 34 PARAMETER CALIBRATION .................................................................................................. 34 
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2011
2011
Semiclassical approximations to quantum mechanics can include quantum coherence effects in dynamical calculations based on… (More)
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2010
2010
We study the geometry of the action of SL(2, R) on the projective line in order to present a new and simpler proof of the Herman… (More)
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2009
2009
Observables in linear and nonlinear infrared spectroscopy may be computed from vibrational response functions describing nuclear… (More)
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2008
2008
The phosphorescent emission spectra of fac-tris(2-phenylpyridine) iridium [fac-Ir(ppy)(3)] due to the lowest triplet T(1) and T(2… (More)
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2006
2006
A justification is given for the validity of a nonadiabatic surface hopping Herman-Kluk (HK) semiclassical initial value… (More)
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2005
2005
In some recent investigations involving differential operators for generalized Laguerre polynomials, Herman Bavinck (1996… (More)
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2005
2005
The nonadiabatic surface hopping Herman-Kluk (HK) semiclassical initial value representation (SC-IVR) method for nonadiabatic… (More)
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