As an adjective volatile

is (physics) evaporating or vaporizing readily under normal conditions.

As a noun devolatilization is

the removal of volatile material.

Devolatilize is a related term of devolatilization.

As a verb devolatilize

is to remove volatile components from.

As a noun devolatilization is

the removal of volatile material.

As nouns the difference between azalide and azitromycin

is that azalide is any of a class of macrolide antibiotics which contain a nitrogen in the macrolide ring while azitromycin is (pharmaceutical drug) an azalide antibiotic derived from erythromycin.

As nouns the difference between antibiotic and azitromycin

is that antibiotic is antibiotic while azitromycin is (pharmaceutical drug) an azalide antibiotic derived from erythromycin.

As an adjective antibiotic

is antibiotic.

As nouns the difference between erythromycin and azitromycin

is that erythromycin is any of a class of macrolide antibiotics produced by an actinomycete of the genus streptomyces while azitromycin is (pharmaceutical drug) an azalide antibiotic derived from erythromycin.

As a noun commissure

is the place where two things are joined, especially the line where two parts of an anatomical structure join.

As an adjective commissural is

of or pertaining to a commissure.

As a noun compartment

is a room, or section, or chamber.

As an adjective compartmented is

divided into compartments.

As an adjective deoxy

is (chemistry) describing any compound formally derived from another by replacement of a hydroxy group by a hydrogen atom.

As a noun cordycepin is

(biochemistry|organic compound) a deoxy form of adenosine.

As nouns the difference between adenosine and cordycepin

is that adenosine is adenosine while cordycepin is (biochemistry|organic compound) a deoxy form of adenosine.

As nouns the difference between covariance and covariation

is that covariance is a statistical measure defined as $\backslash scriptstyle\backslash operatorname\{Cov\}(X,\; Y)\; =\; \backslash operatorname\{E\}((X\; -\; \backslash mu)\; (Y\; -\; \backslash nu))$ given two real-valued random variables X and Y, with expected values $\backslash scriptstyle\; E(X)\backslash ,=\backslash ,\backslash mu$ and $\backslash scriptstyle\; E(Y)\backslash ,=\backslash ,\backslash nu$ while covariation is covariance.