Problem: Genetics compression algorithms are the latest generation of lossless algorithms that compress data (typically sequences of nucleotides) using both conventional compression algorithms and genetic algorithms adapted to the specific datatype. In 2012, a team of scientists from Johns Hopkins University published a genetic compression algorithm that does not use a reference genome for compression. HAPZIPPER was tailored for HapMap data and achieves over 20-fold compression (95% reduction in file size), providing 2- to 4-fold better compression and in much faster time than the leading general-purpose compression utilities. For this, Chanda, Elhaik, and Bader introduced MAF based encoding (MAFE), which reduces the heterogeneity of the dataset by sorting SNPs by their minor allele frequency, thus homogenizing the dataset. Other algorithms in 2009 and 2013 (DNAZip and GenomeZip) have compression ratios of up to 1200-foldallowing 6 billion basepair diploid human genomes to be stored in 2.5 megabytes (relative to a reference genome or averaged over many genomes).
What provides 2- to 4- fold better heterogenelty than the leading gemeral-purpose compression utilities?
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Answer: unanswerable

Problem: On March 31, 2010, the YouTube website launched a new design, with the aim of simplifying the interface and increasing the time users spend on the site. Google product manager Shiva Rajaraman commented: "We really felt like we needed to step back and remove the clutter." In May 2010, it was reported that YouTube was serving more than two billion videos a day, which it described as "nearly double the prime-time audience of all three major US television networks combined". In May 2011, YouTube reported in its company blog that the site was receiving more than three billion views per day. In January 2012, YouTube stated that the figure had increased to four billion videos streamed per day.
Who was the Google product manager in 2010?
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Answer: Shiva Rajaraman

Problem: Zhejiang's main manufacturing sectors are electromechanical industries, textiles, chemical industries, food, and construction materials. In recent years Zhejiang has followed its own development model, dubbed the "Zhejiang model", which is based on prioritizing and encouraging entrepreneurship, an emphasis on small businesses responsive to the whims of the market, large public investments into infrastructure, and the production of low-cost goods in bulk for both domestic consumption and export. As a result, Zhejiang has made itself one of the richest provinces, and the "Zhejiang spirit" has become something of a legend within China. However, some economists now worry that this model is not sustainable, in that it is inefficient and places unreasonable demands on raw materials and public utilities, and also a dead end, in that the myriad small businesses in Zhejiang producing cheap goods in bulk are unable to move to more sophisticated or technologically more advanced industries. The economic heart of Zhejiang is moving from North Zhejiang, centered on Hangzhou, southeastward to the region centered on Wenzhou and Taizhou. The per capita disposable income of urbanites in Zhejiang reached 24,611 yuan (US$3,603) in 2009, an annual real growth of 8.3%. The per capita pure income of rural residents stood at 10,007 yuan (US$1,465), a real growth of 8.1% year-on-year. Zhejiang's nominal GDP for 2011 was 3.20 trillion yuan (US$506 billion) with a per capita GDP of 44,335 yuan (US$6,490). In 2009, Zhejiang's primary, secondary, and tertiary industries were worth 116.2 billion yuan (US$17 billion), 1.1843 trillion yuan (US$173.4 billion), and 982.7 billion yuan (US$143.9 billion) respectively.
What was Zhejiang's nominal GDP in yuan for 2011?
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Answer:
3.20 trillion