You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.

Example Input: Background Paragraph: Cancer is a disease that causes cells to divide out of control. Normally, the body has systems that prevent cells from dividing out of control. But in the case of cancer, these systems fail. Cancer is usually caused by mutations. Mutations are random errors in genes. Mutations that lead to cancer usually happen to genes that control the cell cycle. Because of the mutations, abnormal cells divide uncontrollably. This often leads to the development of a tumor. A tumor is a mass of abnormal tissue. As a tumor grows, it may harm normal tissues around it. Anything that can cause cancer is called a carcinogen . Carcinogens may be pathogens, chemicals, or radiation. 
Story: Jason recently learned that he has cancer. After hearing this news, he convinced his wife, Charlotte, to get checked out. After running several tests, the doctors determined Charlotte has no cancer, but she does have high blood pressure. Relieved at this news, Jason was now focused on battling his cancer and fighting as hard as he could to survive. 
Question: Whose cells are dividing more rapidly?
Example Output: Jason.

Example Input: Background Paragraph: Turner et al (2006) derived crash prediction models for this report’s predecessor and found a
pronounced ‘safety in numbers’ effect in the models. Using the crash prediction model for mid-block
locations, generic motorist and cyclist volumes can be used to demonstrate the impacts on the
expected crash rate of varying motor vehicle and cycle volumes. As shown in figure 2.20, an increase
in the proportion of cyclists to the overall traffic volume causes an increase in expected crashes at
mid-block locations, but the crash rate increases at a decreasing rate. That is to say, the crash rate per
cyclist goes down as the cycle volume increases. 
Story: There were a lot of motorcycles on Interstate 10 last week. On Tuesday, there were 3500 motorcyclists. On Wednesday, there were 4500 motorcyclists. On Thursday, there were 5500 motorcyclists. On Friday, there were 6500 motorcyclists. On Saturday, there were 7500 motorcyclists. On Sunday, there were 8500 motorcyclists. On Monday, there were 9500 motorcyclists. 
Question: What day had a lower crash rate per cyclist: Thursday or Monday?
Example Output: Monday.

Example Input: Background Paragraph: Because of human activities, there is more carbon dioxide in the atmosphere today than in the past hundreds of thousands of years. Burning fossil fuels and has released great quantities of carbon dioxide into the atmosphere. Cutting forests and clearing land has also increased carbon dioxide into the atmosphere because these activities reduce the number of autotrophic organisms that use up carbon dioxide in photosynthesis. In addition, clearing often involves burning, which releases carbon dioxide that was previously stored in autotrophs. 
Story: Two researchers looked at the human influence on atmospheric carbon dioxide levels. Tim studied a human settlement from 10000 years ago, while Bob studied a present day county. Today's economy in the county revolved around extensive agriculture. 
Question: Which researcher found evidence of cut forests?
Example Output:
Bob.