Coupled Electro-Mechanical Analysis of Adaptive Material Systems — Determination of the Actuator Power Consumption and System Energy Transfer

1994 ◽  
Vol 5 (1) ◽  
pp. 12-20 ◽  
Author(s):  
C. Liang ◽  
F.P. Sun ◽  
C.A. Rogers
Keyword(s):  
Energy Transfer ◽  
Power Consumption ◽  
Mechanical Analysis ◽  
Material Systems ◽  
System Energy

A quantitative approach to inner shell losses

1978 ◽  
Vol 36 (1) ◽  
pp. 526-527 ◽  
Author(s):  
R.D. Leapman ◽  
P. Rez ◽  
D.F. Mayers
Keyword(s):  
Energy Transfer ◽  
Cross Section ◽  
Cross Sections ◽  
Accurate Determination ◽  
Background Intensity ◽  
Core Excitation ◽  
Quantitative Basis ◽  
Cross Section Differential ◽  
Bound Electrons

Microanalysis by EELS has been developing rapidly and though the general form of the spectrum is now understood there is a need to put the technique on a more quantitative basis (1,2). Certain aspects important for microanalysis include: (i) accurate determination of the partial cross sections, σx(α,ΔE) for core excitation when scattering lies inside collection angle a and energy range ΔE above the edge, (ii) behavior of the background intensity due to excitation of less strongly bound electrons, necessary for extrapolation beneath the signal of interest, (iii) departures from the simple hydrogenic K-edge seen in L and M losses, effecting σx and complicating microanalysis. Such problems might be approached empirically but here we describe how computation can elucidate the spectrum shape.The inelastic cross section differential with respect to energy transfer E and momentum transfer q for electrons of energy E0 and velocity v can be written as

scholarly journals Determination of energy-transfer distributions in ionizing ion-molecule collisions

2020 ◽  
Vol 1412 ◽  
pp. 152085
Author(s):  
S Indrajith ◽  
E Erdmann ◽  
J Chiarinelli ◽  
A Domaracka ◽  
M Łabuda ◽  
...  
Keyword(s):  
Energy Transfer

Room temperature phosphorimetric determination of bromate in flour based on energy transfer

Talanta ◽  
2013 ◽  
Vol 116 ◽  
pp. 231-236 ◽  
Author(s):  
Mario Menendez-Miranda ◽  
Maria T. Fernandez-Argüelles ◽  
Jose M. Costa-Fernandez ◽  
Rosario Pereiro ◽  
Alfredo Sanz-Medel
Keyword(s):  
Energy Transfer ◽  
Room Temperature

scholarly journals Structural Determination of Lipid-bound ApoA-I Using Fluorescence Resonance Energy Transfer

2000 ◽  
Vol 275 (47) ◽  
pp. 37048-37054 ◽  
Author(s):  
Hui-hua Li ◽  
Douglas S. Lyles ◽  
Michael J. Thomas ◽  
Wei Pan ◽  
Mary G. Sorci-Thomas
Keyword(s):  
Energy Transfer ◽  
Fluorescence Resonance Energy Transfer ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Structural Determination ◽  
Fluorescence Resonance

Room temperature phosphorimetric determination of cyanide based on triplet state energy transfer

2003 ◽  
Vol 491 (1) ◽  
pp. 27-35 ◽  
Author(s):  
Marı́a Teresa Fernández-Argüelles ◽  
José M Costa-Fernández ◽  
Rosario Pereiro ◽  
Alfredo Sanz-Medel
Keyword(s):  
Energy Transfer ◽  
Triplet State ◽  
Room Temperature ◽  
State Energy ◽  
Triplet State Energy

Variation in the respiratory quotient of birds and implications for indirect calorimetry using measurements of carbon dioxide production

1995 ◽  
Vol 198 (1) ◽  
pp. 213-219 ◽  
Author(s):  
G Walsberg ◽  
B Wolf
Keyword(s):  
Carbon Dioxide ◽  
Power Consumption ◽  
Indirect Calorimetry ◽  
Respiratory Quotient ◽  
Current Knowledge ◽  
Bird Species ◽  
Passer Domesticus ◽  
Carbon Dioxide Production ◽  
Accurate Estimation

Determination of animal power consumption by indirect calorimetry relies upon accurate estimation of the thermal equivalent of oxygen consumed or carbon dioxide produced. This estimate is typically based upon measurement or assumption of the respiratory quotient (RQ), the ratio of CO2 produced to O2 consumed. This ratio is used to indicate the mixture of lipids, carbohydrates and proteins in the metabolic substrate. In this analysis, we report the RQ for two bird species, Passer domesticus and Auriparus flaviceps, under several dietary and fasting regimes. RQ commonly differed substantially from those typically assumed in studies of energy metabolism and often included values below those explainable by current knowledge. Errors that could result from these unexpected RQ values can be large and could present the primary limit to the accuracy of power consumption estimates based upon measurement of carbon dioxide production.

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