scholarly journals Biological Particle Control and Separation using Active Forces in Microfluidic Environments

2018 ◽  
Author(s):  
Mohd Anuar Md Ali ◽  
Aminuddin Bin Ahmad Kayani ◽  
Burhanuddin Yeop Majlis
Keyword(s):  
Biological Particle

Biological Particle Recognition Based on BP Neural Network Algorithm

2021 ◽  
pp. 227-232
Author(s):  
Jianqiang Fan ◽  
Shaoquan Jiang ◽  
Chao Zhang ◽  
Zhikun Yang ◽  
Tao Jiang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Network Algorithm ◽  
Particle Recognition ◽  
Neural Network Algorithm ◽  
Biological Particle

Rapid physical and biological particle mixing on an intertidal sandflat

2004 ◽  
Vol 62 (1) ◽  
pp. 67-92 ◽  
Author(s):  
Anthony F. D'Andrea ◽  
Glenn R. Lopez ◽  
Robert C. Aller
Keyword(s):  
Particle Mixing ◽  
Intertidal Sandflat ◽  
Biological Particle

scholarly journals A lubricant boundary condition for a biological body lined by a thin heterogeneous biofilm

2019 ◽  
Vol 12 (01) ◽  
pp. 1950003
Author(s):  
Mustapha El Jarroudi ◽  
Riane Hajjami ◽  
Aadil Lahrouz ◽  
Moussa El Jarroudi
Keyword(s):  
Boundary Condition ◽  
Asymptotic Behavior ◽  
Slip Boundary Condition ◽  
The Body ◽  
Local Problem ◽  
Viscous Fluid Flow ◽  
Slip Boundary ◽  
Varying Thickness ◽  
Cellular Microstructure ◽  
Biological Particle

We study the asymptotic behavior of an incompressible viscous fluid flow in a biological body lined by a thin biological film with a cellular microstructure, varying thickness, and a heterogeneous viscosity regulated by a time random process. Letting the thickness of the film tend to zero, we derive an effective biological slip boundary condition on the boundary of the body. This law relates the tangential fluxes to the tangential velocities via a proportional coefficient corresponding to the energy of some local problem. This law describes the ability of the biological film to function as a lubricant reducing friction at the wall of the body. The tangential velocities are functions of the random trajectories of a finely concentrated biological particle.

Biological particle manipulation: an example of Jurkat enrichment

2015 ◽  
Vol 10 (10) ◽  
pp. 550-553 ◽  
Author(s):  
Emre Altinagac ◽  
Huseyin Kizil ◽  
Levent Trabzon
Keyword(s):  
Particle Manipulation ◽  
Biological Particle

scholarly journals Comparison of Bacterial Filtration Efficiency vs. Particle Filtration Efficiency to Assess the Performance of Non-Medical Face Masks in the Emergency Context of COVID-19 Pandemic

2021 ◽  
Author(s):  
Henrietta Essie Whyte ◽  
Yoann Montigaud ◽  
Estelle Audoux ◽  
Paul Verhoeven ◽  
Amélie Prier ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Filtration Efficiency ◽  
Reference Test ◽  
Test Protocol ◽  
Particle Filtration ◽  
Different Types ◽  
The Difference ◽  
Biological Particle ◽  
Specific Expertise

Abstract As a result of the current COVID-19 pandemic, the use of facemasks has become commonplace. The performance of medical facemasks is assessed using Bacterial Filtration Efficiency (BFE) tests. However, as BFE tests, require specific expertise and equipment and are time-consuming, the performance of non-medical facemasks is assessed with non-biological Particle Filtration Efficiency (PFE) tests which are comparatively easier to implement. It is necessary to better understand the possible correlations between BFE and PFE to be able to compare the performances of the different types of masks (medical vs. non-medical). In this study BFE results obtained in accordance with the standard EN 14683 are compared to the results of PFE from a reference test protocol defined by AFNOR SPEC S76-001 with the aim to determine if BFE could be predicted from PFE. Our results showed a correlation between PFE and BFE. It was also observed that PFE values were higher than BFE and this was attributed to the difference in particle size distribution considered for efficiency calculation. In order to properly compare these test protocols for a better deduction, it would be interesting to compare the filtration efficiency for a similar granulometric range.

scholarly journals Supplementary material to "Global modeling of primary biological particle concentrations with the EMAC chemistry-climate model"

2018 ◽  
Author(s):  
Meryem Tanarhte ◽  
Sara Bacer ◽  
Susannah M. Burrows ◽  
J. Alex Huffman ◽  
Kyle M. Pierce ◽  
...  
Keyword(s):  
Climate Model ◽  
Global Modeling ◽  
Supplementary Material ◽  
Biological Particle
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