You are the network administrator for westsim. com. The network consists of a single domain. All the servers run Windows Server 2016. All the clients run Windows 10. The network consists of one main office located in New York and 10 office branches. There are several file servers at the main office and one file server in each of the branch offices. Users in the sales department need to distribute pricing spreadsheets to the branch offices on a regular basis. The reports will only be updated at the main office and should not be updated at the branch office. You need to make the spreadsheets automatically available to the users at the branch offices when they are updated at the main office. Branch office users must not be able to modify the spreadsheets at the branch office. Your solution should minimize traffic between the main office and the branch office. What should you do?

Some of your friends have gotten into the burgeoning field of time-series data mining, in which one looks for patterns in sequences of events that occur over time. purchases at stock exchanges--what’s being bought-- are one source of data with a natural ordering in time. given a long sequence s of such events, your friends want an efficient way to detect certain "patterns" in them--for example, they may want to know if the four events buy yahoo, buy ebay, buy yahoo, buy oracle occur in this sequence s, in order but not necessarily consecutively. they begin with a collection of possible events (e.g., the possible’ transactions) and a sequence s of n of these events. a given event may occur multiple times in s (e.g., yahoo stock may be bought many times in a single sequence s). we will say that a sequence s’ is a subsequence of s if there is a way to delete certain of the events from s so that the remaining events, in order, are equal to the sequence s’. so, for example, the sequence of four events above is a subsequence of the sequence buy amazon, buy yahoo, buy ebay, buy yahoo, buy yahoo, buy oracle their goal is to be able to dream up short sequences and quickly detect whether they are subsequences of s. so this is the problem they pose to you: give an algorithm that takes two sequences of even~s--s’ of length m and s of length n, each possibly containing an event more than once--and decides in time o(m n) whether s’ is a subsequence of s

The more powerful, 60 volt cables and the main power shut off on an hev are both colored orange

Write an expression that will cause the following code to print "equal" if the value of sensorreading is "close enough" to targetvalue. otherwise, print "not equal". ex: if targetvalue is 0.3333 and sensorreading is (1.0/3.0), output is: