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 hypothalamic damage associated with inflammatory markers and worse cognitive performance in obese subjects?
Answer: DTI detects obesity-associated hypothalamic damage associated with inflammatory markers and worse cognitive performance. This study highlights the potential utility of λ(1) as a surrogate marker of obesity-associated hypothalamic damage.
Example Output: yes

Example Input: Question: Does prospective international cohort study demonstrate inability of interim PET to predict treatment failure in diffuse large B-cell lymphoma?
Answer: This large international cohort delivers 3 novel findings: treatment response assessed by I-PET is comparable across disparate healthcare systems, secondly a negative I-PET findings together with good clinical status identifies a group with an EFS of 98%, and thirdly a single I-PET scan does not differentiate chemoresistant lymphoma from complete response and cannot be used to guide risk-adapted therapy.
Example Output: yes

Example Input: Question: Do zero adjusted models with applications to analysing helminths count data?
Answer: This paper showed that zero modified NBLH and ZINB models are more appropriate methods for the analysis of data with excess zeros. The choice between the hurdle and zero-inflated models should be based on the aim and endpoints of the study.
Example Output:
yes