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Third, all six resources were perceived to improve clinical ability to deliver sexual healthcare – this includes the ability to broach sexual healthcare or contact tracing with patients; identity and/or order appropriate STI tests; document a brief sexual history; identify at-risk patients; as well as diagnose and/or treat common STIs.
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Yet tests documented they had higher-than-average risk factors: elevated blood pressure, high cholesterol, hardening of the arteries, and evidence of plaque buildup in blood vessels.
Routine blood tests documented the presence of anticardiolipin antibodies.
Glucose tolerance tests documented that berberine-treated mice were more glucose tolerant.
Strong GxE tests documenting that stress antedated depression exist, but are not included in the meta-analysis (e.g., [ 5]).
It considers the labels of k nearest neighbors to classify a test document.
Like centroid-based, SVM also consider the hyperplane to classify a test document.
The test document was crafted to mimic a magazine publication from our university.
Centroid based classifier performs efficiently as it doesn't consider training data each time to decide a test document.
Figure 19 shows the same test document from Fig. 17, but generated from the first-fit method.
Normalized sum of positive vectors used in (Lertnattee and Theeramunkong2004), cosine similarity between the test document and the Centroid of a class (Hidayet and Tunga 2012).
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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