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Approximately 40% of patients with M and PM were satisfied with alternative methods, whereas in the TTH group this percentage was even higher, at 60%.
However arguments in [12] are mainly based on averaging methods whereas, in this paper, we investigate a general higher-dimensional singular equation such as (1.1) by using the Lyapunov-Schmidt reduction.
Indeed, when two sentences have the same syntactic structure (subject verb object) but the semantic classes of these objects are dissimilar (i.e., the first is human and the second is vegetal), the pair of these sentences is syntactically similar according to these hybrid methods, whereas in reality both sentences are totally different according to an expert.
This means, non-adherent patients were classified as adherent by caretaker report and medication return methods whereas in fact, were non-adherent.
Similar(56)
Rows in maps correspond with different machine learning methods, whereas columns in maps refer to different parameters and fingerprints.
Rows in maps correspond with different machine learning methods, whereas columns in maps refer to different training sets and use of various fingerprints for molecules representation.
It hints at the notion that majority voting is an unconditionally reliable (truth-conducive) method, whereas in fact it is only conditionally reliable.
The structural optimization is realized via genetic algorithms (GAs) and HCM method whereas in case of the parametric optimization we proceed with a standard least square estimation (learning).
This research is based on CloudSim and algorithms are developed in CloudSim and they have used mean and standard deviation as the prediction method, whereas in our research we used median and standard deviation derived from median.
A comparison of the Bayesian and DS approaches in [25] illustrates that the two techniques can lead to similar results but that a well-defined formulation of probabilities, conditioning and priors is required in the Bayes method, whereas in the DS theory, conditioning is incorporated in the belief functions with no prior knowledge needed.
In the USA brachytherapy is the most commonly employed method, whereas in Europe both brachytherapy and intraoperative electron and photon beam techniques are used.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com