Rapid and simple lead service line detection screening protocol using water sampling

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Michael R. Schock ◽  
Darren A. Lytle ◽  
Ryan R. James ◽  
Vivek Lal ◽  
Min Tang
Keyword(s):  
Line Detection ◽  
Water Sampling ◽  
Service Line ◽  
Screening Protocol

A rapid method for lead service line detection

2012 ◽  
Vol 104 (11) ◽  
pp. E596-E607 ◽  
Author(s):  
Clément Cartier ◽  
Alicia Bannier ◽  
Maciej Pirog ◽  
Shokoufeh Nour ◽  
Michèle Prévost
Keyword(s):  
Rapid Method ◽  
Line Detection ◽  
Service Line

Faster line detection algorithms on enhanced mesh connected arrays

1993 ◽  
Vol 140 (2) ◽  
pp. 95 ◽  
Author(s):  
Y. Pan ◽  
H.Y.H. Chuang
Keyword(s):  
Line Detection ◽  
Detection Algorithms

Further advances in dissolved oxygen micro analysis. I. Small-scale water sampling vessels and amperometric titrations

1959 ◽  
Vol 9 (12) ◽  
pp. 642-645
Author(s):  
E. C. Potter ◽  
G. E. Everitt
Keyword(s):  
Dissolved Oxygen ◽  
Small Scale ◽  
Water Sampling ◽  
Micro Analysis

Real-Time Line Detection Method for Camera Images of the Rescue Robot

2010 ◽  
Vol 130 (11) ◽  
pp. 2039-2046
Author(s):  
Munetoshi Numada ◽  
Masaru Shimizu ◽  
Takuma Funahashi ◽  
Hiroyasu Koshimizu
Keyword(s):  
Real Time ◽  
Detection Method ◽  
Line Detection ◽  
Time Line ◽  
Rescue Robot

The lane line detection based on the improved Hough transform

2014 ◽  
Author(s):  
Bo Yin ◽  
Haitao Wang ◽  
Yanping Cong
Keyword(s):  
Hough Transform ◽  
Line Detection ◽  
Lane Line

Discovery of New AKT1 Inhibitors by Combination of In silico Structure Based Virtual Screening Approaches and Biological Evaluations

2019 ◽  
Author(s):  
Filip Fratev ◽  
Denisse A. Gutierrez ◽  
Renato J. Aguilera ◽  
suman sirimulla
Keyword(s):  
Virtual Screening ◽  
Success Rate ◽  
Protein Interactions ◽  
In Silico ◽  
Biological Data ◽  
In Vitro Binding ◽  
Vitro Binding ◽  
Screening Protocol ◽  
Screening Approaches

AKT1 is emerging as a useful target for treating cancer. Herein, we discovered a new set of ligands that inhibit the AKT1, as shown by in vitro binding and cell line studies, using a newly designed virtual screening protocol that combines structure-based pharmacophore and docking screens. Taking together with the biological data, the combination of structure based pharamcophore and docking methods demonstrated reasonable success rate in identifying new inhibitors (60-70%) proving the success of aforementioned approach. A detail analysis of the ligand-protein interactions was performed explaining observed activities.<br>

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