Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.

Example Input: Context: 4-Day Classic Beijing Tour The 4-day classic Beijing tour is designed for tourists who come to visit China for the first time. It covers the most popular and typical places in Beijing, fully displaying the scenery, culture, history, local lifestyles and features, food and drinks, business, etc. for you. Day 1:Arrival in Beijing Your guide meets you at Capital Airport, and helps you check in at your hotel. Enjoy Beijing Duck as welcome dinner. Accommodation: Beijing downtown Day 2:The Great Wall & the Summer Palace Start your day at the most famous part of the Great Wall, the Badaling Great Wall. Leave the downtown for the Great Wall at 8 am. Since it is a long drive to the Great Wall (about 2 hours' riding) have a break at the Jade Museum on the way. Lunch will be enjoyed in a local restaurant. In the early afternoon come back to the city and have a sightseeing tour of the Summer Palace. Recommended Activity: Beijing Opera Show (Liyuan Theatre, 19:30-21: 10 every evening) Accommodation: Beijing downtown Day 3:Beijing city sightseeing & Local experience Your guide meets you at the hotel at 8 am and set out for the day's touring: Tian'anmen Square and the Forbidden City. After visiting the two sites, have a break and get ready for lunch. Hutong visit: see some traditional arts of the old Beijing, such as paper cutting and kite making, and visit a local family. Accommodation: Beijing downtown Day 4:Beijing Olympic sites Visit the Olympic sites: Bird's Nest, Water Cube and Olympic Park, witnessing the fast developing modern China. Enjoy some free time after visiting the sites. After lunch, it is shopping time and then the tour is over. 
 Question: What does this tour company think can show Beijing is a fast developing modern city?
Example Output: bird's nest, water cube and olympic park.

Example Input: Context: The Egyptian Peasant is a book by Henry Habib Ayrout about the life of the Egyptian peasant (fellah). 
 Question: Who was the writer of The Egyptian Peasant?
Example Output: henry habib ayrout

Example Input: Context: The major protein constituent of Lewy bodies (LBs), the pathological hallmark of Parkinson disease and dementia with Lewy bodies, is considered to be alpha-synuclein, but other proteins, in particular the microtubule-associated protein tau, have been implicated in the pathogenesis of LBs. Tau is the major structural component of neurofibrillary tangles (NFTs). Both direct immunochemical studies of partially purified LBs and indirect immunohistochemical studies have suggested that LBs may contain tau, but most of these studies were based upon a single tau antibody, and immunologic cross-reactivity was not completely excluded. To gain insight into the relation between tau and alpha-synuclein in LBs, double immunostaining was performed in Lewy body cases with a rabbit polyclonal antibody to alpha-synuclein and a panel of monoclonal antibodies to phospho- and nonphospho-tau epitopes (Alz50, CP9, CP13, PG5, TG3, PHFI) that spanned the length of the tau molecule. Tau-immunoreactive LBs were present in the medulla in 80% of the cases, irrespective of Braak stage. All tau antibodies recognized at least some LBs, arguing against nonspecific antibody cross-reactivity. In most lesions the tau immunostaining was present at the periphery of the LB. The phospho-tau antibody, TG3, detected more LBs than any of the other tau antibodies. The proportion of LBs with tau immunoreactivity was greatest in neurons vulnerable to NETs, such as those in the locus ceruleus and basal nucleus of Meynert, and least in neurons resistant to NFTs, such as the dorsal motor nucleus of the vagus in the medulla. The present results suggest that tau may coaggregate with alpha-synuclein in LBs, especially in neuronal populations vulnerable to both NFTs and LBs. 
 Question: Which is the primary protein component of Lewy bodies?
Example Output:
αsyn