Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.

Example Input: In cancer research, background models for mutation rates have been extensively calibrated in coding regions, leading to the identification of many driver genes, recurrently mutated more than expected. Noncoding regions are also associated with disease; however, background models for them have not been investigated in as much detail. This is partially due to limited noncoding functional annotation. Also, great mutation heterogeneity and potential correlations between neighboring sites give rise to substantial overdispersion in mutation count, resulting in problematic background rate estimation. Here, we address these issues with a new computational framework called LARVA. It integrates variants with a comprehensive set of noncoding functional elements, modeling the mutation counts of the elements with a -binomial distribution to handle overdispersion. LARVA, moreover, uses regional genomic features such as replication timing to better estimate local mutation rates and mutational hotspots. We demonstrate LARVA's effectiveness on 760 whole-genome tumor sequences, showing that it identifies well-known noncoding drivers, such as mutations in the TERT promoter. Furthermore, LARVA highlights several novel highly mutated regulatory sites that could potentially be noncoding drivers. We make LARVA available as a software tool and release our highly mutated annotations as an online resource (larva.gersteinlab.org).
Example Output: Which tool is used for the identification of recurrent variants in noncoding regions?

Example Input: The Gora Rudnaya mine is one of the largest gold mines in Russia and in the world.
Example Output: What product does Gora Rudnaya mine make?

Example Input: People without homes have always been present in America. In the past,they were called hobos,bums,or drifters. It was not until the early 1980s that these people received a new name,when activists named them the homeless. The types of people who were homeless also changed in the 1980s. No longer were they primarily older men. They were younger,with an average age of 35. Their numbers consisted of women,children,adolescents and entire families. They were of many races and cultures. No longer were they only in the inner city. They lived in rural areas and in large and small cities. No longer were they invisible to the people with homes and jobs. The homeless of the 1980s lived in packing crates and doorways. They slept on sidewalks and in public parks. They begged money from passersby. Counting the numbers of homeless people is difficult. However,in 1984 the Department of Housing and Urban Development estimated the homeless population at between 250,000 and 350,000. In 1990 the Census Bureau counted about 459,000 people in shelters,in cheap hotels,and on the streets. In 1995 the National Alliance to End Homelessness estimated that there were 750,000 homeless Americans. The homeless of the 1980s also began to speak out for themselves. Some spoke to Congress and to government committees controlling funding for social programs. Street newspapers,such as Chicago's Streetwise and Boston's Spare Change,had stories,poems,and essays that expressed the homeless viewpoint. The visible and vocal presence of the homeless prompted help from volunteers and government agencies. But what is still needed is a solution to the _ of America's homeless population.
Example Output:
Who is responsible to get the number of the homeless population according to the passage?