The use of tire cord mesh in reinforcing asphalt pavement has been introduced and accurately observed in this research.
A two-mode model is introduced to accurately predict the most obvious frequency veering behavior between two adjacent modes associated with a chordwise bending and a stretching mode.
Since the wear profile is not uniform, the modified version of a specially designed measuring device was introduced which accurately determines the wear profile at any given point along the liner length.
In addition to the local basis and correction functions, which were previously developed in this framework, local fracture functions are introduced to accurately capture the fractures at the coarse scale.
In this technical note, we address a newly developed method for the measurement of the tilt angle in a TEM goniometer using a fabricated nanohole, and a simple equation that considers the nanohole geometry is introduced to accurately calculate tilt angles in a TEM goniometer.
Finally, a mathematical model, based on recursion, was introduced that accurately modeled actual data as a function of the previous stimulus and response intervals and a weighted response of period error and synchronization error, which showed dominance of frequency entrainment over phase entrainment during rhythmic synchronization.
The molecular assemblage in the crystal structures of three modified chiral amino acids, two of which are isomeric d- and l-pairs boc-l-benzothienylalanine (BLA), boc-d-benzothienylalanine (BDA) and the other boc-d-naphthylalanine (NDA) differing from this pair very slightly in the chemical modification introduced, is accurately described.
Thus, the actual organ weights were introduced to accurately reveal the effects of the interventions.
Additional biases and uncertainties are introduced in accurately describing the dose response relationship without having an instrument that can be used across a wide range of air pollutant concentrations.
Results: A novel algorithm, fast and accurate classification of sequences (FACSs), is introduced that can accurately and rapidly classify sequences as belonging or not belonging to a reference sequence.
