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: Unfortunately, the layer of good ozone is being destroyed by air pollution. The chief culprits are chlorine and bromine gases. They are released in aerosol sprays, coolants, and other products. Loss of ozone has created an ozone hole over Antarctica. Ozone depletion results in higher levels of UV radiation reaching Earth. In humans, this increases skin cancers and eye cataracts. It also disturbs the nitrogen cycle, kills plankton, and disrupts ocean food webs. The total loss of the ozone layer would be devastating to most life. It’s rate of loss has slowed with restrictions on pollutants, but it is still at risk. 
Story: Planet Earth and planet Mars both had breathable atmospheres and were inhabited by humans. People of Earth destroyed the ozone layer, people of mars were more careful and protected it. 
Question: Which planet had more people using coolants?
Example Output: Earth.

Example Input: Background Paragraph: The example of someone having a positive experience with a drug is easy to see how drug dependence and the law of effect works. The tolerance for a drug goes up as one continues to use it after having a positive experience with a certain amount the first time.[38] It will take more and more to get that same feeling. This is when the controlled substance in an experiment would have to be modified and the experiment would really begin. The law of work for psychologist B. F. Skinner almost half a century later on the principles of operant conditioning, "a learning process by which the effect, or consequence, of a response influences the future rate of production of that response.[39]. 
Story: The Angel Dusters met to discuss their experiences. They all said they always had a great experience using angel dust and used the same amount each time. They told how many times they used angel dust. Deon used it 10 times, Sang used it 20 times, Milford used it 30 times, Rosendo used it 40 times, Fritz used it 50 times, Jerold used it 60 times, and Napoleon used it 70 times. 
Question: Who has a higher tolerance for angel dust: Rosendo or Napoleon?
Example Output: Napoleon.

Example Input: Background Paragraph: The body's second line of defense against pathogens includes the inflammatory response. If bacteria enter the skin through a scrape, the area may become red, warm, and painful. These are signs of inflammation. Inflammation is one way the body reacts to infections or injuries. Inflammation is caused by chemicals that are released when skin or other tissues are damaged. The chemicals cause nearby blood vessels to dilate, or expand. This increases blood flow to the damaged area, which makes the area red and slightly warm. The chemicals also attract white blood cells called neutrophils to the wound and cause them to leak out of blood vessels into the damaged tissue. 
Story: A team of researchers named Alpha did some research on the inflammatory response in humans for a science contest. A competing team called Omega did research on the human genome. Team Omega lost. 
Question: Which team studied less about the body's second line of defense against pathogens?
Example Output:
Omega.