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Unconformity represents the transformation at different degrees and types experienced by previous strata from post-geologic functions (Gao and Zha 2008).
A new mathematical approach, named Linearity method, was developed for estimating the kinetic parameters and degree of phase transformation at different heating rates.
An extensive experimental database for a low-alloy steel is used for parameter identification, thus taking into account the effects of uniaxial compressive and tensile stress on the kinetics of phase transformation at different temperatures.
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"Whenever we have symmetry that allows us to do independent transformations at different points (a gauge symmetry), it automatically comes with a connection field that lets us compare what is going on at those locations," we are told at one point.
To study the mineral phase transformations at different temperatures, coal samples were heat treated at 600 and 1000 °C in air for 1 h in a muffle furnace.
Results: We present a protein structure alignment method whose main feature is the ability to consider different rigid transformations at different sites, allowing for deformations beyond a global rigid transformation.
In other words, unlike STRUCTAL, TM-align, and LOCK2, which all utilize single transformations of input proteins to compute final alignments, the new generation of protein structure alignment methods consider sequences of different rigid transformations at different sites.
Both the parameters and the nonlinear function are considered in the time-varying system, where the Markov chain is adopted to reflect the mode transformation phenomenon at different times.
Microstructural analyses by scanning electron microscopy revealed that, for each diffusion couple, an interface separating austenite and martensite was created due to variation of the martensitic transformation temperature at different compositions.
The key transformation intermediates at different time points during the remediation process were identified by HPLC and gas chromatography coupled to mass spectrometry and are listed in Table S1 of the Supporting Information.
Several transcriptional factors and other factors controlling gene expression such as miRNAs contribute to the transformation of macrophages at different points in different diseases.
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