Here is a question about this article: Ming government officials fought against each other, against fiscal collapse, and against a series of peasant rebellions. They were unable to capitalise on the Manchu succession dispute and installation of a minor as emperor. In April 1644, the capital at Beijing was sacked by a coalition of rebel forces led by Li Zicheng, a former minor Ming official, who established a short-lived Shun dynasty. The last Ming ruler, the Chongzhen Emperor, committed suicide when the city fell, marking the official end of the dynasty.
What is the answer to this question: Who was the last Ming leader?
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So... Chongzhen Emperor

Here is a question about this article: London's first and only cable car, known as the Emirates Air Line, opened in June 2012. Crossing the River Thames, linking Greenwich Peninsula and the Royal Docks in the east of the city, the cable car is integrated with London's Oyster Card ticketing system, although special fares are charged. Costing 60 million to build, it carries over 3,500 passengers every day, although this is very much lower than its capacity. Similar to the Santander Cycles bike hire scheme, the cable car is sponsored in a 10-year deal by the airline Emirates.
What is the answer to this question: Who is the current sponsor of London's cable car operation?
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So... the airline Emirates

Here is a question about this article: 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 is the answer to this question: What encoding reduces the heterogeneity of a dataset by sorting SNPs?
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So...
MAFE