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The first study was conducted to determine the minimum length that can represent an infinite tube in hydrostatic testing.
The critical length is defined as the minimum length that can maintain the equilibrium between the de-coupled property and economics of the flexible jumper.
To identify the minimum length that is needed for the peptide substrate to bind Hsp40 Ydj1, we have synthesized peptides with the N-terminal or the C-terminal residues removed from the current Ydj1 peptide substrate GWLYEIS.
To this end, we also compute the Shannon information content at each site, from which in turn, we can derive subsequences with a minimum length that have a certain minimum average information content, e.g. for constructing homology search patterns based on position-specific scoring matrices (PSSSs).
The objective of path planning for a mobile anchor is to find the path of minimum length that the anchor traverses to localize all sensors.
We observe that the wildtype poly-alanine repeat length of six residues defines a critical minimum length that consistently results in clearly defined β-sheet nanocrystals.
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The genome based assembly was performed using the TopHat software, version 1.3.0 [ 14], and was run for each sample separately using the Emihu1plus as the reference sequence and set to the default parameters, except for the minimum intron length that was set to a minimum of 30.
The velocity profile in a single fracture was incorporated in the numerical model in deriving the minimum fracture length that allows for target production temperature.
The distance between probes, s, which is the minimum pierced length that is possible to measure accurately using intrusive probes, has been introduced as a constraint in the derivation of the size distribution equation.
Furthermore, string theory has a built in mechanism (namely a minimum string length) that seems to rule out singularities of infinite curvature or spatial length shrinking to zero.
The third article, "Self-organizing kernel adaptive filtering," by S. Zhao, B. Chen, Z. Cao, P. Zhu, and J. C. Principe, deals with kernel adaptive filters and presents a model-selection strategy based on minimum description length that keeps the kernel least-mean-square model tuned to the complexity of the input data.
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