Arabidopsis ketoacyl-CoA synthase 16 (KCS16) forms C36 /C38 acyl precursors for leaf trichome and pavement surface wax

2017 ◽  
Vol 40 (9) ◽  
pp. 1761-1776 ◽  
Author(s):  
Daniela Hegebarth ◽  
Christopher Buschhaus ◽  
Jérôme Joubès ◽  
Didier Thoraval ◽  
David Bird ◽  
...  
Keyword(s):  
Pavement Surface ◽  
Surface Wax ◽  
Leaf Trichome

scholarly journals cot1: A Regulator of Arabidopsis Trichome Initiation

Genetics ◽  
1998 ◽  
Vol 149 (2) ◽  
pp. 565-577
Author(s):  
Daniel B Szymanski ◽  
Daniel A Klis ◽  
John C Larkin ◽  
M David Marks
Keyword(s):  
Cell Fate ◽  
Gene Dosage ◽  
Signal Transduction Pathway ◽  
Spatial Arrangement ◽  
Complex Signal ◽  
Chromosome 2 ◽  
Wild Type ◽  
Trichome Formation ◽  
In The Wild ◽  
Leaf Trichome

Abstract In Arabidopsis, the timing and spatial arrangement of trichome initiation is tightly regulated and requires the activity of the GLABROUS1 (GL1) gene. The COTYLEDON TRICHOME 1 (COT1) gene affects trichome initiation during late stages of leaf development and is described in this article. In the wild-type background, cot1 has no observable effect on trichome initiation. GL1 overexpression in wild-type plants leads to a modest number of ectopic trichomes and to a decrease in trichome number on the adaxial leaf surface. The cot1 mutation enhances GL1-overexpression-dependent ectopic trichome formation and also induces increased leaf trichome initiation. The expressivity of the cot1 phenotype is sensitive to cot1 and 35S::GL1 gene dosage, and the most severe phenotypes are observed when cot1 and 35S::GL1 are homozygous. The COT1 locus is located on chromosome 2 15.3 cM north of er. Analysis of the interaction between cot1, try, and 35S::GL1 suggests that COT1 is part of a complex signal transduction pathway that regulates GL1-dependent adoption of the trichome cell fate.

Policy implications of standalone timing versus holistic timing of infrastructure interventions: Findings based on pavement surface roughness

2021 ◽  
Vol 148 ◽  
pp. 79-99
Author(s):  
Julie Yu Qiao ◽  
Runjia Du ◽  
Samuel Labi ◽  
Jon D. Fricker ◽  
Kumares C. Sinha
Keyword(s):  
Surface Roughness ◽  
Policy Implications ◽  
Pavement Surface

Automated joint faulting measurement based on full-lane 3D pavement surface data

2021 ◽  
Vol 128 ◽  
pp. 103221
Author(s):  
Allen A. Zhang ◽  
Guangwei Yang ◽  
Kelvin C.P. Wang ◽  
Baoxian Li ◽  
Haiwang Kong ◽  
...  
Keyword(s):  
Pavement Surface ◽  
Surface Data

Spatial Roadway Condition-Assessment Mapping Utilizing Smartphones and Machine Learning Algorithms

2021 ◽  
pp. 036119812110061
Author(s):  
Charalambos Kyriakou ◽  
Symeon E. Christodoulou ◽  
Loukas Dimitriou
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Condition Assessment ◽  
Machine Learning Algorithms ◽  
Supervised Machine Learning ◽  
Geographical Information ◽  
Related Field ◽  
Pavement Surface ◽  
Automated Method ◽  
Smartphone Technology

The paper presents a data-driven framework and related field studies on the use of supervised machine learning and smartphone technology for the spatial condition-assessment mapping of roadway pavement surface anomalies. The study explores the use of data, collected by sensors from a smartphone and a vehicle’s onboard diagnostic device while the vehicle is in movement, for the detection of roadway anomalies. The research proposes a low-cost and automated method to obtain up-to-date information on roadway pavement surface anomalies with the use of smartphone technology, artificial neural networks, robust regression analysis, and supervised machine learning algorithms for multiclass problems. The technology for the suggested system is readily available and accurate and can be utilized in pavement monitoring systems and geographical information system applications. Further, the proposed methodology has been field-tested, exhibiting accuracy levels higher than 90%, and it is currently expanded to include larger datasets and a bigger number of common roadway pavement surface defect types. The proposed system is of practical importance since it provides continuous information on roadway pavement surface conditions, which can be valuable for pavement engineers and public safety.

Prediction of Pavement Surface Temperature Using Meteorological Data for Optimal Winter Operations in Parking Lots

2015 ◽  
Author(s):  
Faranak Hosseini ◽  
S. M. Kamal Hossain ◽  
Liping Fu ◽  
Marc Johnson ◽  
Yuheng Fei
Keyword(s):  
Surface Temperature ◽  
Meteorological Data ◽  
Parking Lots ◽  
Pavement Surface

Laboratory and field evaluation of asphalt pavement surface friction resistance

2018 ◽  
Vol 12 (3) ◽  
pp. 372-381 ◽  
Author(s):  
Zhong Wu ◽  
Chris Abadie
Keyword(s):  
Asphalt Pavement ◽  
Surface Friction ◽  
Field Evaluation ◽  
Friction Resistance ◽  
Pavement Surface

scholarly journals FIELD MEASUREMENTS ON RUNWAY FRICTION DECAY RELATED TO RUBBER DEPOSITS

Transport ◽  
2016 ◽  
Vol 31 (2) ◽  
pp. 177-182 ◽  
Author(s):  
Mario De Luca ◽  
Francesco Abbondati ◽  
Thomas J. Yager ◽  
Gianluca Dell’Acqua
Keyword(s):  
Functional Capacity ◽  
Field Measurements ◽  
Surface Characteristics ◽  
Air Traffic ◽  
Pavement Surface ◽  
Vulcanized Rubber ◽  
Before And After

Surfaces of airport pavements are subject to contamination that can be very dangerous for the movement of aircraft particularly on the runway. A recurrent problem is represented by the deposits of vulcanized rubber of aircraft tires in the touchdown area during landings and lesser during take-offs. This causes a loss of grip that compromises the safety of aircraft movements in take-off and landing operations. This study deals with the surface characteristics decay phenomenon related to contamination from rubber deposits. The experiment was conducted by correlating the pavement surface characteristics, as detected by Grip Tester, to air traffic before and after de-rubberizing operation and two models were constructed for the assessment of functional capacity of the runway before and after the operations de-rubberizing.

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