Answer:
conference proceeding is a collection of academic papers published in the context of an academic conference or workshop.
Answer:
lean media
Explanation:
Dr. Thomas uses email as a medium of lean media to convey messages.
Lean media may be defined as the source of conveying messages that are short or of lean capacity. It is meant for instant messages and message and information that is not considered to be of out most importance. Whereas a rich media is a video chat or face to face communication.
Dr. Thomas send emails to her patients to follow up with them and also encourages her patients to call her for appointments or any questions. She uses email as a source of lean media for this communication.
Answer:
For question a, it simplifies. If you re-express it in boolean algebra, you get:
(a + b) + (!a + b)
= a + !a + b
= b
So you can simplify that circuit to just:
x = 1 if b = 1
(edit: or rather, x = b)
For question b, let's try it:
(!a!b)(!b + c)
= !a!b + !a!bc
= !a!b(1 + c)
= !a!b
So that one can be simplified to
a = 0 and b = 0
I have no good means of drawing them here, but hopefully the simplification helped!
Answer:
function findLongestWord(str) {
var longestWord = str.split(' ').sort(function(a, b) { return b.length - a.length; });
return longestWord[0].length;
}
findLongestWord(InputHere);
Explanation:
Replace InputHere with the input
Python can be used to implement central of tendencies such as mean, median and mode using the statistic module
The program in Python, where comments are used to explain each line is as follows:
#This imports the statistics module
import statistics
#This defines the function that calculates the mode
def calcMode(myList):
#This prints the mode
print(statistics.multimode(myList))
#This defines the function that calculates the median
def calcMedian(myList):
#This prints the median
print(statistics.median(myList))
#The main method begins here
#This initializes the list
myList = []
#The following iteration gets input for the list
for i in range(10):
myList.append(int(input()))
#This calls the calcMode method
calcMode(myList)
#This calls the calcMedian method
calcMedian(myList)
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