Identify what cornerstone of computational thinking the given scenario reflects. Fill in the blank provided to you the following: PD - If the scenario demonstrates Problem Decomposition PR - If the scenario demonstrates Pattern Recognition AB - If the scenario demonstrates Abstraction AF - If the scenario demonstrates Algorithm Formulation NA If the scenario DOES NOT demonstrate any of the cornerstones of computational thinking 1. When analyzing murder rates across the US states, you make an assumption that places that are more dense always have higher murder rates because crime TV shows tend to take place in big cities. 2. You are working on a module that can make travel more convenient. As a result, you take note of times when travel is most difficult due to rush hours, hoping to factor similarities between times to help users determine the optimal routes. 3. Given a data-set, pre-processing is done to ensure that noisy data and irrelevant information is eliminated to make computational models more effective in dealing with the problem at hand. 4. After some analysis, you've decided that using a neural network to analyze whether an individual is in a picture or not is an efficient approach for your desired computational model. 5. As a sports trainer, you notice that after certain types of food, an athlete you are managing produces a sub-par performance. After some analysis from his performance and meal history, you realized that the said athlete reacts negatively to gluten. 6. When analyzing the game of basketball, you think about the factors that can cause a team to blow a 3-1 lead in a playoff series. You make a conclusion that referees and officials being biased in the playoffs is enough to determine whether a team will win the series or not. 7. You list down a step-by-step process that can simplify prime factorization. That includes continuously dividing a number by a prime number as long as it is divisible, and looking for the next prime number that divides the resulting value. 8. After being provided with patient records, you try to see which personal variable amongst their information does not sound like it is relevant to the problem. As a result, you've decided that you don't need to keep track of patient's height, shoe size, and favorite colors. 9. When it comes to developing an application, you want to focus on smaller modules and identify how each module can solve different problems that affect users everywhere. 10. You decided to port your code from Python into Java and C++ to make your program available to a wider range of users.