scholarly journals A GENERAL MODEL FOR UNIFICATION OF THE THREE PROCESSES OF SLEEP-WAKE REGULATION

2013 ◽  
Vol 12 (2) ◽  
pp. 266-274
Author(s):  
A. A. Putilov ◽  
Ye. G. Verevkin

The most-known model of sleep-wake regulation includes different formulae describing the kinetics of three separate processes, i.e., homeostatic, circadian, and ultradian. We tried to explain all these processes within a more parsimonious modeling framework and to use the EEG recordings of baseline night sleep for derivation of the model’s parameters and for prediction of the effects of experimental manipulations with sleep-wake regimen.

2013 ◽  
Vol 47 (8) ◽  
pp. 3761-3767 ◽  
Author(s):  
Zhenqing Shi ◽  
Dominic M. Di Toro ◽  
Herbert E. Allen ◽  
Donald L. Sparks

1987 ◽  
Vol 87 (1) ◽  
pp. 31-45 ◽  
Author(s):  
R. Varón ◽  
F. García Cánovas ◽  
F. García Carmona ◽  
J. Tudela ◽  
M. García ◽  
...  

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Fernando D. León-Cázares ◽  
Enrique I. Galindo-Nava

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Jian Peng ◽  
Rishi Pillai ◽  
Marie Romedenne ◽  
Bruce A. Pint ◽  
Govindarajan Muralidharan ◽  
...  

AbstractAlthough of practical importance, there is no established modeling framework to accurately predict high-temperature cyclic oxidation kinetics of multi-component alloys due to the inherent complexity. We present a data analytics approach to predict the oxidation rate constant of NiCr-based alloys as a function of composition and temperature with a highly consistent and well-curated experimental dataset. Two characteristic oxidation models, i.e., a simple parabolic law and a statistical cyclic oxidation model, have been chosen to numerically represent the high-temperature oxidation kinetics of commercial and model NiCr-based alloys. We have successfully trained machine learning (ML) models using highly ranked key input features identified by correlation analysis to accurately predict experimental parabolic rate constants (kp). This study demonstrates the potential of ML approaches to predict oxidation kinetics of alloys over wide composition and temperature ranges. This approach can also serve as a basis for introducing more physically meaningful ML input features to predict the comprehensive cyclic oxidation behavior of multi-component high-temperature alloys with proper constraints based on the known underlying mechanisms.


2019 ◽  
Vol 5 (5) ◽  
pp. eaaw1412 ◽  
Author(s):  
Fabian Schneider ◽  
Natalie Möritz ◽  
Hendrik Dietz

We provide a comprehensive reference dataset of the kinetics of a multilayer DNA origami folding. To this end, we measured the folding kinetics of every staple strand and its two terminal segments during constant-temperature assembly of a multilayer DNA origami object. Our data illuminate the processes occurring during folding of the DNA origami in fine detail, starting with the first nucleating double-helical domains and ending with the fully folded DNA origami object. We found a complex sequence of folding events that cannot be explained with simplistic local design analysis. Our real-time data, although derived from one specific DNA origami object, through its sheer massive detail, could provide the crucial input needed to construct and test a quantitatively predictive, general model of DNA origami assembly.


2008 ◽  
Vol 41 (12) ◽  
pp. 4429-4434 ◽  
Author(s):  
Zhiping Zhou ◽  
Deyue Yan

Nanomaterials ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 624
Author(s):  
Amnon Rothman ◽  
Jaroslav Maniš ◽  
Vladimir G. Dubrovskii ◽  
Tomáš Šikola ◽  
Jindřich Mach ◽  
...  

The bottom-up assembly of nanowires facilitates the control of their dimensions, structure, orientation and physical properties. Surface-guided growth of planar nanowires has been shown to enable their assembly and alignment on substrates during growth, thus eliminating the need for additional post-growth processes. However, accurate control and understanding of the growth of the planar nanowires were achieved only recently, and only for ZnSe and ZnS nanowires. Here, we study the growth kinetics of surface-guided planar GaN nanowires on flat and faceted sapphire surfaces, based on the previous growth model. The data are fully consistent with the same model, presenting two limiting regimes—either the Gibbs–Thomson effect controlling the growth of the thinner nanowires or surface diffusion controlling the growth of thicker ones. The results are qualitatively compared with other semiconductors surface-guided planar nanowires materials, demonstrating the generality of the growth mechanism. The rational approach enabled by this general model provides better control of the nanowire (NW) dimensions and expands the range of materials systems and possible application of NW-based devices in nanotechnology.


2010 ◽  
Vol 10 (5) ◽  
pp. 12371-12431 ◽  
Author(s):  
B. Ervens ◽  
R. Volkamer

Abstract. This study presents a modeling framework based on laboratory data to describe the kinetics of glyoxal reactions in aqueous aerosol particles that form secondary organic aerosol (SOA). Recent laboratory results on glyoxal reactions are reviewed and a consistent set of reaction rate constants is derived that captures the kinetics of glyoxal hydration and subsequent reversible and irreversible reactions in aqueous inorganic and water-soluble organic aerosol seeds to form (a) oligomers, (b) nitrogen-containing products, (c) photochemical oxidation products with high molecular weight. These additional aqueous phase processes enhance the SOA formation rate in particles compared to cloud droplets and yield two to three orders of magnitude more SOA than predicted based on reaction schemes for dilute aqueous phase (cloud) chemistry. The application of this new module in a chemical box model demonstrates that both the time scale to reach aqueous phase equilibria and the choice of rate constants of irreversible reactions have a pronounced effect on the atmospheric relevance of SOA formation from glyoxal. During day time a photochemical (most likely radical-initiated) process is the major SOA formation pathway forming ~5 μg m−3 SOA over 12 h (assuming a constant glyoxal mixing ratio of 300 ppt). During night time, reactions of nitrogen-containing compounds (ammonium, amines, amino acids) contribute most to the predicted SOA mass; however, the absolute predicted SOA masses are reduced by an order of magnitude as compared to day time production. The contribution of the ammonium reaction significantly increases in moderately acidic or neutral particles (5<pH<7). Reversible glyoxal oligomerization, parameterized by an equilibrium constant Kolig=1000 (in ammonium sulfate solution), contributes <1% to total predicted SOA masses at any time. Sensitivity tests reveal five parameters that strongly affect the predicted SOA mass from glyoxal: (1) time scales to reach equilibrium states (as opposed to assuming instantaneous equilibrium), (2) particle pH, (3) chemical composition of the bulk aerosol, (4) particle surface composition, and (5) particle liquid water content that is mostly determined by the amount and hygroscopicity of aerosol mass and to a lesser extent by the ambient relative humidity. Glyoxal serves as an example molecule, and the conclusions about SOA formation in aqueous particles can serve for comparative studies also of other molecules that form SOA as the result of multiphase chemical processing in aerosol water. This SOA source is currently underrepresented in atmospheric models; if included it is likely to bring SOA predictions (mass and O/C ratio) into better agreement with field observations.


1993 ◽  
Vol 2 (3) ◽  
pp. 121-129 ◽  
Author(s):  
BEAT A. GEERING ◽  
PETER ACHERMANN ◽  
FRITZ EGGIMANN ◽  
ALEXANDER A. BORBÉLY

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