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Failure initiation has been predicted using three micromechanical failure criteria found in the literature – the 3D Tsai Hill model, the MultiContinuum Theory model and the 3D Hashin type strain based failure criteria.

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The TSHR TMD structure (TMD_In) was predicted using three homologous GPCR crystal structures (β2-adrenergic receptor, metarhodopsin II and M2 muscarinic acetylcholine receptor) in their inactive state (Table 1).

The elevated mechanical properties of glass fibre-reinforced epoxy composites with/without fire retardants were predicted using three unit cells of varying length scales in micromechanical FE analysis.

To this end, hydrate formation temperature of a real natural gas sample was predicted using three common cubic EOSs (PR, SRK and VPT) coupled with three mixing rules (vdW, ANDD and GNQ).

The target property of the test well is predicted using three different tuned networks corresponding to three zones; and then the estimated values obtained from three different networks are concatenated to represent the predicted log along the complete depth range of the testing well.

Litter quantities were predicted using three techniques: a particle tracking model (PTM) used in conjunction with two-way PTM experiments designed to reveal litter sources, an inverse method used to compute litter outflows at each source, and a sequential monitoring system designed to monitor existing beach litter using webcams.

Coreceptor utilization was predicted using three rules and two web-based bioinformatics tools.

Secondary structure of the full length R1 Rev sequence was predicted using three different methods, PSIPRED [47], PROF [48], and Sam-T99.

Genes potentially targeted by the colonization-induced dysregulated miRNAs were predicted using three algorithms miRanda, PicTar, and TargetScan (Tables S1, S2).

In addition, trans-membrane helices were predicted using three separate trans-membrane predictors (49– 51).

Nucleotide diversity of the exonic polymorphisms was determined and the functional effects of the non-synonymous SNPs were predicted using three programs, SIFT, PolyPhen and PANTHER.

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