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: Inventors are always looking for ways to make our lives easier, greener and a whole lot more fun. Take a look at the following breakthroughs in science and technology. What in the world will inventors dream up next? Superhero Suit Have you ever dreamed of becoming a superhero? Dream no more. There's a real Iron Man suit, XOS 2, which instantly transforms the person wearing it. The suit provides the power to lift 200 pounds with ease and break slabs of wood with a single karate chop. It was designed to help the military with heavy lifting. One person in the suit could do the work of three soldiers. Up, Up and Away! It took him 30 years to develop it, and now Glen Martin's invention is ready to take off. The Martin Jetpack allows its operator to fly 8,000 feet into the air. Unfortunately, you can't soar through the skies too long. The jetpack holds only 30 minutes' worth of fuel. The aircraft will sell for $100,000. Hardworking Robot The EMIEW2 robot is the perfect office helper. Need a document delivered? No problem! It can also guide visitors to their destinations. The three-foot-tall robot can identify different human voices and respond to commands. One day, it may serve as a receptionist or a security guard. Green Machine Say goodbye to gasoline! The AirPod car runs on air power. That means this car won't pollute the environment. A high-pressure air tank can fill the car in minutes. The three-wheeler can travel about 130 miles between fill-ups. Beef Power All aboard the beef train! Amtrak's Heartland Flyer runs partly on fuel that is made from cow fat. The goal is to reduce carbon emissions by 10%. The train travels between Oklahoma City, Oklahoma, and Fort Worth, Texas. Robo-Guard EMILY is a robotic, four-foot-long buoy . She can swim through riptides at up to 24 miles per hour. Her inventor, Tony Mulligan, says that's 15 times as fast as human lifeguards! EMILY is powered by a tiny electric pump and operated by remote control. 
 Question: How many environment-friendly inventions are mentioned in the passage?
Example Output: three.

Example Input: Context: The selective degradation of cytosolic proteins in lysosomes by chaperone-mediated autophagy depends, at least in part, on the levels of a substrate receptor at the lysosomal membrane. We have previously identified this receptor as the lysosome-associated membrane protein type 2a (lamp2a) and showed that levels of lamp2a at the lysosomal membrane directly correlate with the activity of the proteolytic pathway. Here we show that levels of lamp2a at the lysosomal membrane are mainly controlled by changes in its half-life and its distribution between the lysosomal membrane and the matrix. The lysosomal degradation of lamp2a requires the combined action of at least two different proteolytic activities at the lysosomal membrane. Lamp2a is released from the membrane by the action of these proteases, and then the truncated lamp2a is rapidly degraded within the lysosomal matrix. Membrane degradation of lamp2a is a regulated process that is inhibited in the presence of substrates for chaperone-mediated autophagy and under conditions that activate that type of autophagy. Uptake of substrate proteins also results in transport of some intact lamp2a from the lysosomal membrane into the matrix. This fraction of lamp2a can be reinserted back into the lysosomal membrane. The traffic of lamp2a through the lysosomal matrix is not mediated by vesicles, and lamp2a reinsertion requires the lysosomal membrane potential and protein components of the lysosomal membrane. The distribution of lamp2a between the lysosomal membrane and matrix is a dynamic process that contributes to the regulation of lysosomal membrane levels of lamp2a and consequently to the activity of the chaperone-mediated autophagic pathway. 
 Question: Which is the receptor for substrates of Chaperone Mediated Autophagy?
Example Output: lamp2a

Example Input: Context: With the avalanche of biological sequences generated in the post-genomic age, one of the most challenging problems in computational biology is how to effectively formulate the sequence of a biological sample (such as DNA, RNA or protein) with a discrete model or a vector that can effectively reflect its sequence pattern information or capture its key features concerned. Although several web servers and stand-alone tools were developed to address this problem, all these tools, however, can only handle one type of samples. Furthermore, the number of their built-in properties is limited, and hence it is often difficult for users to formulate the biological sequences according to their desired features or properties. In this article, with a much larger number of built-in properties, we are to propose a much more flexible web server called Pse-in-One ([Link] which can, through its 28 different modes, generate nearly all the possible feature vectors for DNA, RNA and protein sequences. Particularly, it can also generate those feature vectors with the properties defined by users themselves. These feature vectors can be easily combined with machine-learning algorithms to develop computational predictors and analysis methods for various tasks in bioinformatics and system biology. It is anticipated that the Pse-in-One web server will become a very useful tool in computational proteomics, genomics, as well as biological sequence analysis. Moreover, to maximize users' convenience, its stand-alone version can also be downloaded from [Link] and directly run on Windows, Linux, Unix and Mac OS. 
 Question: Which server is used for generating modes of pseudo components of DNA, RNA and protein sequences?
Example Output:
pse-in-one