Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.

Example Input: Question: Does fTY720-Induced Lymphopenia Aggravate Mortality in a Murine Model of Polymicrobial Abdominal Sepsis?
Answer: Our data demonstrate that inhibition of T cell migration and induction of peripheral lymphopenia did not affect survival in a model of severe murine sepsis. The presence of reduced T- and B-cell numbers in the peripheral blood during a septic challenge did not negatively affect sepsis mortality in our model of severe abdominal sepsis. The absence of increased mortality under FTY720 treatment in the CASP model suggests that FTY720 treatment will probably not result in increased mortality in MS patients suffering from sepsis.
Example Output: no

Example Input: Question: Does monosialotetrahexosylganglioside inhibit the Expression of p-CREB and NR2B in the Auditory Cortex in Rats with Salicylate-Induced Tinnitus?
Answer: These data suggest that chronic salicylate administration induces tinnitus via upregulation of p-CREB and NR2B expression, and that GM1 can potentially be used to treat tinnitus.
Example Output: yes

Example Input: Question: Is breslow density a novel prognostic feature in cutaneous malignant melanoma?
Answer: We show a proof of concept that the BD represents a novel morphological prognostic biomarker that is independent of the BT, and that there is potential to combine these into a Breslow score. Larger studies are needed to validate the BD, but the simplicity of this biomarker makes it a strong candidate for translation to clinical practice.
Example Output:
yes