scholarly journals Nitrous oxide produces a non-linear reduction in thiopentone requirements

1996 ◽  
Vol 77 (2) ◽  
pp. 265-267 ◽  
Author(s):  
T Katoh ◽  
K Ikeda
Keyword(s):  
Nitrous Oxide ◽  
Non Linear ◽  
Linear Reduction

scholarly journals Non-Linear Reduction of Ion Currents in Cultured Cardiac Myocytes: Correlation with a Loss of T-Tubules?

2015 ◽  
Vol 108 (2) ◽  
pp. 272a
Author(s):  
Tanya Zeina ◽  
Reuben T. Mathew ◽  
Erica Freund ◽  
Brian K. Panama ◽  
Matthew Betzenhauser ◽  
...  
Keyword(s):  
Cardiac Myocytes ◽  
Ion Currents ◽  
Non Linear ◽  
T Tubules ◽  
Linear Reduction

Non-linear dynamics of the photodissociation of nitrous oxide: Equilibrium points, periodic orbits, and transition states

2011 ◽  
Vol 134 (24) ◽  
pp. 244302 ◽  
Author(s):  
Frederic Mauguiere ◽  
Stavros C. Farantos ◽  
Jaime Suarez ◽  
Reinhard Schinke
Keyword(s):  
Nitrous Oxide ◽  
Periodic Orbits ◽  
Equilibrium Points ◽  
Transition States ◽  
Linear Dynamics ◽  
Non Linear

scholarly journals Significant non-linearity in nitrous oxide chamber data and its effect on calculated annual emissions

2009 ◽  
Vol 6 (1) ◽  
pp. 115-141 ◽  
Author(s):  
P. C. Stolk ◽  
C. M. J. Jacobs ◽  
E. J. Moors ◽  
A. Hensen ◽  
G. L. Velthof ◽  
...  
Keyword(s):  
Nitrous Oxide ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Regression Models ◽  
Goodness Of Fit ◽  
Surface Fluxes ◽  
Linear Regression Models ◽  
Open Questions ◽  
Non Linear

Abstract. Chambers are widely used to measure surface fluxes of nitrous oxide (N2O). Usually linear regression is used to calculate the fluxes from the chamber data. Non-linearity in the chamber data can result in an underestimation of the flux. Non-linear regression models are available for these data, but are not commonly used. In this study we compared the fit of linear and non-linear regression models to determine significant non-linearity in the chamber data. We assessed the influence of this significant non-linearity on the annual fluxes. For a two year dataset from an automatic chamber we calculated the fluxes with linear and non-linear regression methods. Based on the fit of the methods 32% of the data was defined significant non-linear. Significant non-linearity was not recognized by the goodness of fit of the linear regression alone. Using non-linear regression for these data and linear regression for the rest, increases the annual flux with 21% to 53% compared to the flux determined from linear regression alone. We suggest that differences this large are due to leakage through the soil. Macropores or a coarse textured soil can add to fast leakage from the chamber. Yet, also for chambers without leakage non-linearity in the chamber data is unavoidable, due to feedback from the increasing concentration in the chamber. To prevent a possibly small, but systematic underestimation of the flux, we recommend comparing the fit of a linear regression model with a non-linear regression model. The non-linear regression model should be used if the fit is significantly better. Open questions are how macropores affect chamber measurements and how optimization of chamber design can prevent this.

Optimization of Self Activating Bi-Metallic Valve Using Thermo – Structural Coupled FEA

2012 ◽  
Vol 622-623 ◽  
pp. 147-151
Author(s):  
Matin Kagadi ◽  
Girish Tembhare ◽  
Vinaay Patil ◽  
Sujay Shelke
Keyword(s):  
Nitrous Oxide ◽  
Ammonium Nitrate ◽  
Warning System ◽  
Specific Process ◽  
Safety Risks ◽  
Non Linear ◽  
Secondary Objective ◽  
Metallic Strip

Besides relying on electronically actuated valves, there is a need to have a mechanically actuated valve and a warning system as second layer of safety in-case of electronic malfunction. The specific process for which optimization is carried out, is the process of nitrous oxide generation from ammonium nitrate. The key challenge in the process was maintaining temperatures below 200°C, as above this temperature ammonium nitrate becomes explosive and hence safety risks are involved. The secondary objective was to maintain temperatures above 170°C, as below this temperature the reaction does not proceed. In this paper we have tried to fulfill these objectives by employing a bi-metallic valve and a warning system having bi-metallic strip which will bend at higher temperatures, thus serving our primary purpose of self-actuation. However the key constraint in determining the dimensions of the valve and the warning system is a desirable deflection of bi-metallic strip. To optimize these parameters we have employed non-linear FEA and thermo-structural coupled FEA, and this paper reflects on the process employed in achieving the same.

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