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.

Ex Input:
Question: Do armband activity monitor data correlate with reported pain scores in patients receiving vertebroplasty?
Answer: Activity monitors can be used to objectively record changes in activity following vertebroplasty procedures. Patient-reported pain or disability scores do not correlate with activity monitor-measured activity or sleep metrics.

Ex Output:
no

Ex Input:
Question: Does pINK1 trigger autocatalytic activation of Parkin to specify cell fate decisions?
Answer: Autocatalytic activation of Parkin bolsters its accumulation on mitochondria and apoptotic response to valinomycin. Our results suggest that PINK1-Parkin constitutes adamage-gated molecular switch that governs cellular-context-specific cell fate decisions in response to variable stress stimuli.

Ex Output:
yes

Ex Input:
Question: Does improving search over Electronic Health Records using UMLS-based query expansion through random walk?
Answer: Our analysis shows that the success of our method is due to the automatic expansion of the query with extra terms, even when they are not directly related in the UMLS Metathesaurus. The terms added in the expansion go beyond simple synonyms, and also add other kinds of topically related terms.

Ex Output:
yes