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Two days after a left below the knee amputation, a client reports pain in the missing extremity. Which action by the nurse is most appropriate?

You are to write a program which analyzes one month (30 days’) worth of step data recorded via a user’s pedometer. The step data is stored in the stepdata.txt file — one days’s step count is stored on each line. The data for this file is listed at the bottom of these instructions, you can put it into a file called stepdata.txt, stored in your project folder. Main function overview (details on all other required functions below) prompt the user to enter a daily step goal call read_steps, passing in the name of the file to be read (“step_data.txt”) and save the returned step list data into a variable using the data returned from read_steps, call: the get_goal_summary() — requires passing in the user’s daily step step goal matching_steps() write_analysis() — requires passing in returned results from get_goal_summary(), matching_steps(), and the user’s entered daily step goal print “Step data written to analysis.txt” (see sample run of the app below) Required Functions: Don’t try to do all of these at once — go one at a time (e.g.: get the step data into the program first and then print from the main — then do the rest) read_steps(..) This function takes a file_name string as a parameter and returns a list of numbers. The method should connect and read from a file with the name passed, add each line (i.e.: each step count) to a result list and return it when finished. Use appropriate file IO and use exception handling (via try-except) as necessary. get_goal_summary(..) This function takes two parameters: a list of integers that holds the daily step data; the daily step goal The function should compute the following info then return it in a list (in this order): the number of days the user’s step count was below the goal the number of days the user’s step count exactly matched the goal the number of days the user’s step count was above the goal matching_steps(..) This function takes one parameter, a list of numbers (denoting daily step data), and returns a list of step counts for which any two consecutive days match. For example, if the step data list contains values: 8050, 9000, 9000, 11500, 11500, 12000 then the list returned by this function should just contain the values 9000 and 11500 (since they are the only two consecutive days with equivalent counts). write_analysis(..) This function takes four parameters and returns nothing; here is a summary of the parameters: a list of integers denoting the step data (pass in the list returned from the read_steps(..) function) a list of integers representing the user’s goal summary (this is returned from the get_goal_summary(..) function) a list of integers (step counts) where the step count matched for any two consecutive days (this is the returned value from the matching_steps(..) function) the daily step goal (an integer) The method should write all this data to a file called “analysis.txt”, each piece of info on its own line: “Daily step goal: “, and then the step goal “Days under step goal: “, “Days at step goal: “, and “Days over step goal: “, respectively, with the correct number of days “Average steps: “, and the average number of steps per day, expressed to two decimal places of precision For as many “matching steps” values are in the step data, write a line “Matching steps: ” followed by the number of matching steps Sample run: Enter a step goal: 10000 Step data written to analysis.txt! Sample output (i.e.: the contents written to analysis.txt): Daily step goal: 10000 Days under step goal: 16 Days at step goal: 2 Days over step goal: 12 Average steps: 9512.07 Matching steps: 9000 Matching steps: 8080 Matching steps: 7485 Step Data 10522 8828 6062 6544 14694 10087 9000 9000 1000 9897 9730 6168 12834 10000 12396 13284 9931 1000 15257 8080 8080 11450 10364 10000 7485 7485 12759 9192 10237 13996

An axolotl limb with hypothetical positional information values 1 to 5 as shown above, is amputated at positional value 2. The blastema that forms is removed and replaced with a regeneration blastema of value 4 from a donor albino (white) axolotl.  Explain what happens as this limb regenerates. Your answer should indicate the order of positional values of the resulting limb and the origin(s) of new cells (e.g. Host (pink) vs Donor (white).

Which of the following best distinguishes classification machine learning use cases from regression use cases?

Which of the following is NOT a step in the BizML Framework as described in The AI Playbook by Eric Siegel?

According to The AI Playbook, when determining whether a dataset is “big enough” for a machine learning application, which factor matters most?

A link to a pdf of Test 4 is available below. If there are any issues accessing the test, please contact me immediately via the class Webex link.   Math265_HF01_T4-1.pdf Remember, once you are done, please send me a photo/photos of your solutions to my email at mjakubowski@ocean.eduBest of luck!-Prof Matt

Toks, a maker of sustainable footwear, just opened up a new school in Uganda. The Wall Street Journal just ran an article praising the company. The article is an example of

The example discussed in class about The Economist research study clearly demonstrates which pricing psychology tactic?

Which of the four Ps is responsible for capturing value?