The phrase "and thus were suitable" is correct and usable in written English.
It can be used to indicate that something was appropriate or fitting as a result of a previous statement or condition.
Example: "The materials were tested for durability, and thus were suitable for the construction project."
Alternatives: "and therefore were appropriate" or "and so were fitting".
By comparing the simple proportions of various individuals, the researchers were able to show that the smaller animals tend to have arms that were nearly as long as their legs, and thus were suitable for walking quadrupedally, whereas larger animals had rather longer legs than arms, limiting the use of the latter and implying they were bipedal.
Important contributions on this issue were made by the applied mathematicians Stanisław Zaremba and Gustav Andreas Johannes Jaumann in the first decade of the 1900s; they showed how to make tensorial definitions of stress rate that were invariant to superposed spin and thus were suitable for use in constitutive relations.
For six of the 19 products we obtained primers, shown in Table 2, that reliably amplified specific products and, thus, were suitable for qRT-PCR.
More than three-fifths of the land is arid and lacking in humus and thus is suitable only for rough grazing; sand and limestone outcrops are common in these areas.
Both Ga-68 tracers show bone uptake and, thus, are suitable for PET bone imaging.
The method is not computationally complex and thus is suitable to use in real-time applications.
It is computationally not demanding and, thus, is suitable for parametric studies and design optimization.
The 15-gene signature was confirmed to produce reliable results and, thus, is suitable for its intended use.
However, most protein NMR experiments are performed in aqueous solution and thus are suitable to study the protein protein interaction and detailed molecular dynamics of a target protein.
Our model consistently quantifies these factors as a function of product composition and process variables, and thus is suitable to support optimal product/process design.
The best models were very accurate in generalizing the measurement uncertainty prediction, and thus are suitable for use in a manufacturing environment.
