scholarly journals Why the SARS‐Cov‐2 has prolonged spreading time in children?

2020 ◽  
Vol 55 (7) ◽  
pp. 1544-1545 ◽  
Author(s):  
Sadık Yurttutan ◽  
Sevcan İpek ◽  
Utku U. Güllü
Keyword(s):  
Spreading Time

Spreading Time of Impacting Nanodroplets

2021 ◽  
Author(s):  
Yi-Bo Wang ◽  
Yi-Feng Wang ◽  
Yan-Ru Yang ◽  
Xiao-Dong Wang ◽  
Min Chen
Keyword(s):  
Spreading Time

The Collision Behavior of Droplets Splitted from a Droplet that Rebounded on Super-Hydrophobic Surface

2015 ◽  
Vol 723 ◽  
pp. 968-971 ◽  
Author(s):  
Zheng Yong Huang ◽  
Jian Li ◽  
Fei Peng Wang ◽  
Huan Huan Xia ◽  
Mao Chang Li
Keyword(s):  
Contact Time ◽  
Hydrophobic Surface ◽  
Reynolds Numbers ◽  
Elastic Collision ◽  
Water Droplets ◽  
Water Contact ◽  
Ice Accumulation ◽  
Pollution Flashover ◽  
Water Accumulation ◽  
Spreading Time

Droplet rebounding on super-hydrophobic surfaces is critical to suppress pollution flashover (i.e. enhancement of pollution flashover-voltage) and to reduce ice accumulation on insulators. This paper presents a novel way to reduce water accumulation on surface via the elastic collision between droplets splitted from a droplet that has rebounded from super-hydrophobic surface. The water-mass that contacted with surface will be reduced resultantly. The influence of hydrophobicity of the surface on contact time and spreading time of water droplets are discussed. The collision behavior between the splitted droplets is indicated by the surface charge that was induced by the rebounding droplets on super-hydrophobic surface. Experimental results show that the super-hydrophobic surface endows water droplets with shorter contact time, spreading time than those values obtained on a bare glass. Specific Web and Reynolds numbers can lead to the elastic rebounding between water droplets, delaying the water contact with the super-hydrophobic surface. The contact electrification between the rebounded droplet and the super-hydrophobic surface renders the droplet charged, thus determines the collision behavior of the splitted droplets that born from the rebounded droplet.

scholarly journals Probabilistic Analysis of Rumor-Spreading Time

2020 ◽  
Vol 32 (1) ◽  
pp. 172-181 ◽  
Author(s):  
Yves Mocquard ◽  
Bruno Sericola ◽  
Emmanuelle Anceaume
Keyword(s):  
Probabilistic Analysis ◽  
Rumor Spreading ◽  
Spreading Time

scholarly journals Water transport and absorption in pharmaceutical tablets – a numerical study

Meccanica ◽  
2019 ◽  
Vol 55 (2) ◽  
pp. 421-433 ◽  
Author(s):  
Povilas Vaitukaitis ◽  
Dario Maggiolo ◽  
Johan Remmelgas ◽  
Susanna Abrahmsén-Alami ◽  
Diana Bernin ◽  
...  
Keyword(s):  
Numerical Study ◽  
Three Dimensional ◽  
Coating Process ◽  
Droplet Impingement ◽  
Pharmaceutical Tablets ◽  
Pharmaceutical Tablet ◽  
Capillary Spreading ◽  
Spreading Time ◽  
Good Agreement

AbstractThe quality of a coated pharmaceutical tablet can be strongly affected by the interactions of water droplets with the porous substrate during processes such as coating process. Three different mechanisms co-exist in the coating process: water spreading, absorption and evaporation. Disentangling the fundamental understanding of these phenomena can therefore be crucial for achieving a higher quality of the products (e.g. a longer shelf-life of the tablets) and for controlling the efficiency of the process. This paper aims to investigate the spreading and absorption mechanisms after droplet impingement on a tablet using a Lattice-Boltzmann methodology. Our numerical results (droplet height and spreading, penetration depth and absorbed volume) are in a good agreement with experimental data and numerical simulations available in the literature. In particular, the spreading phase is characterised by the capillary spreading time scale, as confirmed by previous studies. In contrast to previous studies, we find that the absorption process begins at times shorter than the capillary spreading time but with a different power-law in the absorbed volume. We explain this behaviour through a modified Washburn law that takes into account three-dimensional effects. Our data can be used as a benchmark to test novel mathematical models.

A Comment on Fay's Formulae about the Spread of Oil Slick on Water Surface

2013 ◽  
Vol 420 ◽  
pp. 259-262 ◽  
Author(s):  
Zhao Chun Wu
Keyword(s):  
Surface Tension ◽  
Oil Spill ◽  
Water Surface ◽  
Numerical Example ◽  
Second Stage ◽  
Oil Slick ◽  
Spreading Time

Fays formulae of oil spreading in open calm sea are widely quoted in relevant literatures. According to Fays model, the spread of oil slick on water surface can be divided into three different stages, i.e., gravity-inertia stage, gravity-viscous stage and surface tension-viscous stage. Through the analysis of Fays formulae by numerical example, an implied feature of oil spill is revealed that when the oil spill volume is lower than a certain amount, the second stage of oil spreading might not exist. Meanwhile, the numerical example shows that the length of spreading time of oil slick at each stage depends strongly on the oil spill volume.

The spreading time in SIS epidemics on networks

2018 ◽  
Vol 494 ◽  
pp. 317-330 ◽  
Author(s):  
Zhidong He ◽  
Piet Van Mieghem
Keyword(s):  
Spreading Time ◽  
Sis Epidemics

Studies on the surface plate method of counting bacteria

1971 ◽  
Vol 17 (7) ◽  
pp. 943-946 ◽  
Author(s):  
D. S. Clark
Keyword(s):  
Escherichia Coli ◽  
Weight Loss ◽  
Pseudomonas Fluorescens ◽  
Good Recovery ◽  
Plate Method ◽  
Spreading Time ◽  
Inoculum Volume ◽  
Time Required ◽  
Surface Plate

A study of plate preparation, inoculum volume, and technique of spreading in the surface plate method showed that predrying plates to a weight loss of 3–4 g/15-ml plate allowed the use of inoculum volumes of up to 1 ml without affecting recovery of bacteria. Satisfactory drying was achieved at 24–50 °C with the plates positioned upside down separately or in stacks. Equally good recovery of bacteria was obtained either by spreading the inoculum until it had been completely absorbed, or by spreading it for only 15 s and waiting for absorption and evaporation of excess liquid before inverting the plate. The former technique was limited to about 0.5 ml of inoculum because of the length of the spreading time required for volumes greater than this, whereas the latter method was satisfactory for volumes up to at least 1 ml as shown in recovery tests with Escherichia coli and Pseudomonas fluorescens.

scholarly journals HOW FAST CAN A BLACK HOLE RELEASE ITS INFORMATION?

2009 ◽  
Vol 18 (14) ◽  
pp. 2215-2219 ◽  
Author(s):  
SAMIR D. MATHUR
Keyword(s):  
Black Hole ◽  
Wave Function ◽  
String Theory ◽  
Quantum Gravity ◽  
Linear Combination ◽  
Evaporation Time ◽  
Simple Estimate ◽  
Semiclassical Physics ◽  
Gravity Effects ◽  
Spreading Time

When a shell collapses through its horizon, semiclassical physics suggests that information cannot escape from this horizon. One might hope that nonperturbative quantum gravity effects will change this situation and avoid the information paradox. We note that string theory has provided a set of states over which the wave function of the shell can spread, and that the number of these states is large enough that such a spreading would significantly modify the classically expected evolution. In this article we perform a simple estimate of the spreading time, showing that it is much shorter than the Hawking evaporation time for the hole. Thus information can emerge from the hole through the relaxation of the shell state into a linear combination of fuzzballs.

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