The straightforward answer is that this part add extra damping effect of whole system.
While in proof, we'd better solve the equation explicitly:
For these kinds of homogeneous ODE with constant factors, we could manage to re-write the equation into: $$p(\partial_t)f(t)=0$$
$p(\partial_t)$ is a polynomial function of operator $\partial_t$.
Using the $\lambda_i$ root notation:$$p(\partial_t)=\prod_{i}(\partial_t -\lambda_i)$$
keep in mind that constant commute with derivation operator $\partial_t$, just do integrals in product order.
$$p(\partial_t)f=(\partial_t-\lambda_1)\prod_{i=2}^{n}(\partial_t -\lambda_i)f$$
There is a trick that:
$$(\partial_t-\lambda)f=e^{\lambda t}\partial_{t}(e^{-\lambda t}f)$$ After integral from initial situation the $e^{\lambda t}$ part will remain. Thus the spectrum of $\lambda_i$ decides the solve's form as $e^{\lambda t}$ times polynomials(check by hands) :
$$\sum _{i}c_{i}(t)e^{\lambda_i t}\ \ \ \ Rank(c_{i}(t))=Rank(\lambda_i)$$.
In first equation the $p_{0}(\partial_t)=5\partial_t ^{2}+10 $ has pure imaginary roots, while after adding the $5\partial_t$ part we could get two complex roots $-\frac{1}{2}\pm i\frac{\sqrt{7}}{1}$, the possible real solution will definitely contain damping factor $e^{-\frac{t}{2}}$.