"evaluations made by" is a perfectly grammatically correct phrase in written English.
It is used to describe a person or organization who has made an evaluation of something. For example, "The evaluations made by the board of directors were taken into consideration before making a final decision."
The full report shows Scandinavian countries dominating the top-10 rankings, as they have in similar evaluations made by organisations like the ITU.
For the evaluations made by physicians, all patients who did not have a corresponding stress or a rest study to the first or reacquisition available were excluded.
We believe preservation of the arts is at risk based upon the results of the initial community evaluations made by ICANN that clearly disfavor their approval with a resulting and evident bias towards commercialization.
I then introduce volcanic hazard forecasts based on probability estimates, that instead guarantee clear distinction between scientific evaluations made by scientists, and decisions for the benefit of society (made by political decision-makers).
As indicated by the results, compared with the simple interactive genetic algorithm, the proposed algorithm demands fewer number of design evaluations made by user and achieves the user's desired design within a shorter time and after fewer algorithm generations.
However, it is unclear whether oxytocin affects individuals' reactions to social evaluations made by others (i.e., being liked or disliked) and if this is influenced by already having a secure partner bond (i.e., being single or in a relationship).
Privately, some television executives say the Afghanistan coverage is an outgrowth of the self-evaluations made by news organizations in the wake of the Iraq war, when many were faulted for not broadcasting sufficient skepticism.
Recognize the patient's abilities and limitations — consider having an evaluation made by an occupational therapist — and let the patient participate as much as possible in daily activities and self-care.
SAMSUNG WANTS TO MEASURE UP A 132-page evaluation made by Samsung comparing its Galaxy phone with the iPhone revealed in excruciating detail that Samsung had serious iPhone envy.
Table 2 summarizes the performance of the algorithms contained in the Weka workbench on the KDD99 dataset, according to the evaluation made by Modi and Jain [4].
In turn, effective crystallite size (L1 and L2) evaluation, made by Scherer's method [27], is presented as follows: L=Klambda {left(beta cos {theta}_{max}right)}^{-1} (2).
