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Given the following code: #include void Func(int val){ int *ptr = &val; *ptr = 50;}int main(){ int x = 20; Func(x); std::cout

The bodies protective response to injury, allergens or infection is a definition of which Nursing Concept?

Given the following code: #include void Func(int val){ int *ptr = &val; *ptr = 50;}int main(){ int x = 20; Func(x); std::cout

Given the following: class SuperSweetClass{};class EvenSuperSweeterClass : public SuperSweetClass{}; SuperSweetClass would be considered a [option1] class, and EvenSuperSweeterClass would be considered a [option2] class.

Question 2   2.1 An Italian Garden at an old age home is in the shape of a semicircle with a diameter of 56 m. Calculate the area of the garden and give your answer to 3 significant figures. (2)

A patient will be receiving chemo therapy at 10 am today. The best time to give administer an antiemetic would be

Given the following: class SuperSweetClass{};class EvenSuperSweeterClass : public SuperSweetClass{}; SuperSweetClass would be considered a [option1] class, and EvenSuperSweeterClass would be considered a [option2] class.

GRAND TOTAL: 35

Give a class definition called A with a constructor method taking a single argument x when invoked. In the constructor method, set field x to the value of the constructor argument x. For example, the constructor could be invoked as A(45).

Recall your images project where you loaded images and then iterated through the x,y coordinates of the 2D pixel array. In that project, you used a computation to find edges in an image for the purpose of sharpening.  For this task, you must create a function called outline that uses a simpler but equally effective formula. The function accepts a string filename as an argument called filename that: loads that image file converts to greyscale (as in your project) alters the image so that vertical and horizontal edges (color changes) are highlighted as shown in the image below returns that PIL Image object. Each altered pixel p’ is a function of p itself, the pixel below p, and the pixel to the right of p. To get the new pixel p’ value at each x and y, take the absolute value of the difference between p and the pixel below and add it to the absolute value of the difference between p and the pixel to the right. To avoid getting pixels out of range, your loops should not try to set pixels in the bottom edge or furthest right edge of the image; i.e., use range [0..width-1) and [0..height-1).  Here is the only import you can use: from PIL import Image Here is a sample invocation of the function and the resulting output for file jeep.jpg.   To help you think about the problem, here is an example coordinate system for the pixels.