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Just a heads up these questions are relating to a program known as gimp. (these are all fill-in-the-blank)will give brainliest-! the tool option allows you to blur the edges of the selection making it look less sharp. which option do you choose in the add layer mask dialog box to turn your selection into a mask? is a type of filter that distorts a layer making it appear like you’re looking through dirty glass. in which drop-down menu do you find the option to add a blur to your background image layer? what shape appears when you’ve completed making your selection with the free select tool (to let you know you’ve reached the beginning of your selection)? when using the toggle quick mask, everything outside of the selection becomes a color. when painting with the color with the toggle quick mask on, it removes part of your selection making it smaller. when painting with the color with the toggle quick mask on, it adds to your selection making it larger. to use the paths tool, click and add (a tiny circle).to close your selection when using the paths tool, press and hold while clicking the first anchor point you created. the tool works just like the free select tool by clicking around an image to select it.

Consider how gaming consoles initially relied on joysticks and joypads and then made the switch to modern gaming controls, which include analog sticks, buttons and switches, touch controls, accelerometers, motion controls, etc. name at least two kinds of gaming experiences that are possible with these new control devices but were not possible on original joysticks. explain how new technologies made this newer game style possible.

Using least squares fitting, you are to fit the data sets to the following models and solve for the parameters ai , where i is the index of the parameter. the input/output data for the systems are linked in the bblearn site. for each of the systems use matlab to plot the supplied data vs. the model fit on one plot. include your code in the solutions. (a) linear fit "lineardata. mat" y=a1x^3 + a2x^2 + a3x + a4 (b) plant fit "plantdata. mat g(s) = a1/(s + a2)