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A computer program was developed to predict the total fatigue life of the titanium alloy structure.
A simulation program was developed to predict dynamic behaviour of MSF plants which can be used either to design or to simulate actual plant operation.
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The program is developed to predict cation site-allocations at the different structural positions, including the T, Z, Y, and X sites, as well as to estimate the OH1−, F1−, Cl1−, and O2− contents.
In this study, a stepwise model empowered with genetic programming is developed to predict the monthly flows of Hurman River in Turkey and Diyalah and Lesser Zab Rivers in Iraq.
Both programs were developed to predict whether a specific amino acid substitution is deleterious for protein function.
In this regard, a new predictive model based on gene expression programming (GEP) was developed to predict the mill power of the SAG mill.
In this research program, a numerical method was developed to predict the progressive failure of a thick laminated composite femoral component for total hip arthroplasty.
A logistic regression model was developed to predict TBM-IRIS.
Several programs have been developed to predict DNA-binding sites in proteins, but there are very few programs available that can predict protein-binding sites in DNA.
Since RNA-RNA interactions can be modeled computationally, several excellent programs have been developed to predict the interaction of miRNAs with target transcripts.
Recently, several statistical models or programs have been developed to predict outcomes for early breast cancer patients [ 5- 10].
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CEO of Professional Science Editing for Scientists @ prosciediting.com