Influence of Pier Shape and Interference Effect on Local Scour

2021 ◽  
pp. 297-307
Author(s):  
Siva Krishna Reddy ◽  
Sruthi Thazhathe Kalathil ◽  
Malasani Gopi Chand ◽  
Venu Chandra
Keyword(s):  
Interference Effect ◽  
Local Scour

Experimental Study and Prediction Maximum Scour Depth Equation of Local Scour Around Bridge Pier

2018 ◽  
Author(s):  
Mohammed Tareq Shukri ◽  
M. Günal ◽  
Junaid Kameran Ahmed
Keyword(s):  
Experimental Study ◽  
Local Scour ◽  
Bridge Pier ◽  
Scour Depth

Temporal Development of Local Scour Around Bridge Pier

2015 ◽  
Vol 5 (1) ◽  
pp. 9-15
Author(s):  
Shiv Kumar Yadav ◽  
◽  
Shri Ram ◽  
Keyword(s):  
Local Scour ◽  
Bridge Pier ◽  
Temporal Development

Study the Local Scour around different Shapes of Non-Uniform Piers

2020 ◽  
Vol 20 (1) ◽  
pp. 12-14 ◽  
Author(s):  
Saja I. Ahmed ◽  
Saleh I. Khassaf
Keyword(s):  
Local Scour ◽  
Different Shapes

Further study on collisional quantum interference effect in energy transfer within CO singlet–triplet mixed states

1996 ◽  
Vol 105 (19) ◽  
pp. 8661-8665 ◽  
Author(s):  
Xiangling Chen ◽  
Guohe Sha ◽  
Bo Jiang ◽  
Jinbao He ◽  
Cunhao Zhang
Keyword(s):  
Energy Transfer ◽  
Interference Effect ◽  
Quantum Interference ◽  
Mixed States ◽  
Quantum Interference Effect

scholarly journals The synergistic interference effect of silica nanoparticles concentration and the wavelength of ELISA on the colorimetric assay of cell toxicity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fariba Abbasi ◽  
Hassan Hashemi ◽  
Mohammad Reza Samaei ◽  
Amir SavarDashtaki ◽  
Abooalfazl Azhdarpoor ◽  
...  
Keyword(s):  
Mtt Assay ◽  
Interference Effect ◽  
Polynomial Regression ◽  
Colorimetric Assay ◽  
Synergistic Effects ◽  
Cell Toxicity ◽  
Diphenyltetrazolium Bromide ◽  
Nanoparticles Concentration ◽  
Artificial Neural Network Ann ◽  
First Time

AbstractThe 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay is the most common method for the determination of cell toxicity, but some factors limit the sensitivity of this method, such as pH. Less attention had been paid to the interference effect of optical and plasmonic properties of SiO2 nanoparticles (NPs) in the wavelength range assigned to MTT. This study investigated the synergistic interference effect of SiO2 NPs and wavelength on MTT assay for the first time. The examined variables included the type of SiO2 NPs concentrations (1, 10, and 100 mM) and different wavelengths (470, 490, 520, and 570 nm). The results showed that optical density (OD) increased (p < 0.05) when wavelength and the concentration of crystalline SiO2 NPs increased. So, the maximum OD at 10 and 100 mM were attributed to crystalline SiO2 NPs (p < 0.05) due to the functional group, whereas it was related to amorphous at 1 mM (p > 0.05). According to polynomial regression modeling (PRM), the maximum interference effect was predicted at crystalline SiO2 NPs and wavelength > 550 nm. Besides, the synergistic effects of SiO2 NPs, wavelength, and concentration of NPs had been a good fitting with first-order PRM. Thus, the concentration of SiO2 NPs had a confounder factor in colorimetric for MTT assay. The best artificial neural network (ANN) structure was related to the 3:7:1 network (Rall = 0.936, MSE = 0.0006, MAPE = 0.063). The correlation between the actual and predicted data was 0.88. As SiO2 NPs presence is an interfering factor in MTT assay concerning wavelength, it is suggested wavelength use with minimum confounding effect for MTT assay.

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