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: Is 14-3-3η a novel mediator associated with the pathogenesis of rheumatoid arthritis and joint damage?
Answer: Extracellular 14-3-3η activates key signalling cascades and induces factors associated with the pathogenesis of RA at concentrations found in patients with RA, and its expression is higher in patients with radiographic damage and RA progression.
Example Output: yes

Example Input: Question: Do high-oxygen-transmissibility soft contact lenses induce limbal hyperaemia?
Answer: SCL wear induces a marked increase in limbal hyperaemia during open-eye wear, which is not seen either in the no lens situation or when EHD lenses are worn. The pattern of limbal hyperaemia for both the open and closed eyes during EHD lens wear is very similar to that for the no-lens situation. The mechanism whereby SCL induces excess limbal hyperaemia has not been absolutely established, but it may involve local hypoxia.
Example Output: no

Example Input: Question: Does long non-coding MIAT mediate high glucose-induced renal tubular epithelial injury?
Answer: In summary, our data suggested that MIAT/Nrf2 served as an important signaling pathway for high glucose induced renal tubular epithelial injury.
Example Output:
yes