Gross Photoreduction Kinetics of Mercury in Temperate Freshwater Lakes and Rivers:  Application to a General Model of DGM Dynamics

2006 ◽  
Vol 40 (3) ◽  
pp. 837-843 ◽  
Author(s):  
N. J. O'Driscoll ◽  
S. D. Siciliano ◽  
D. R. S. Lean ◽  
M. Amyot
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 ◽  
...  

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.


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

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.


2011 ◽  
Vol 172-174 ◽  
pp. 279-284 ◽  
Author(s):  
Mohamed Gouné ◽  
Philippe Maugis

In classical models of microstructural evolution, the natural dispersion existing in the samples is often neglected. In this paper, we propose a general model that takes into account the dispersion. This model is applied to two cases of phase transformations in steels: the first one concerns the bainitic transformation and the second is dedicated to austenite to ferrite transformation. Through these examples, we show that not taking account the effects of dispersion in the model can lead to (i) incorrect prediction of the overall kinetics or (ii) an incorrect parameter fitting of the experimental data.


Author(s):  
J. F. DeNatale ◽  
D. G. Howitt

The electron irradiation of silicate glasses containing metal cations produces various types of phase separation and decomposition which includes oxygen bubble formation at intermediate temperatures figure I. The kinetics of bubble formation are too rapid to be accounted for by oxygen diffusion but the behavior is consistent with a cation diffusion mechanism if the amount of oxygen in the bubble is not significantly different from that in the same volume of silicate glass. The formation of oxygen bubbles is often accompanied by precipitation of crystalline phases and/or amorphous phase decomposition in the regions between the bubbles and the detection of differences in oxygen concentration between the bubble and matrix by electron energy loss spectroscopy cannot be discerned (figure 2) even when the bubble occupies the majority of the foil depth.The oxygen bubbles are stable, even in the thin foils, months after irradiation and if van der Waals behavior of the interior gas is assumed an oxygen pressure of about 4000 atmospheres must be sustained for a 100 bubble if the surface tension with the glass matrix is to balance against it at intermediate temperatures.


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