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Network Blast, designed for comparing multiple protein networks but applicable for clustering a single protein network, greedily builds small 'dense' clusters.
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Two tunnel blast design models based on parallel hole cut, NTNU blast design model and Swedish blast design model, are discussed and evaluated in this article.
Armourstone production involves aspects of blast design and yield prediction.
A specific section is devoted to blast design.
These technologies include increasingly sophisticated computer models for blast design and blast performance prediction.
The last chapter presents rock blasting related SC applications that include blast design and hazards.
The two constructed and proposed models adequately selected relevant blast design, explosive and rock mass parameters.
This will contribute to enhance blast design approaches and promote opportunities for further optimization.
Blast design parameters, and the parameters related to ground vibration were considered to perform multivariate analysis.
Blast design parameters, modulus of elasticity, in situ block size are considered in the multivariate analysis.
Prediction of burden, one of the most significant variables in the blast design, is very essential.
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