Answer:
B) Developer is poured down the drain while fixer can be reduced
Explanation:
The effluents produced during photographic processing includes, wash water, bleach, fixer, and developer
The developer is an alkaline solution, with a pH of approximately 10.0, while the pH of the fixer is about 4.3, it is therefore, acidic
The rate of discharge of the developer to the fixer is 2 to 1, and the exhausted developer, fixer and process effluents combined are neutral and can be handle by the the treatment works and the drain pipes
Fixer which remain clear can be reused for more than a day, while the spent basic Developer and the acidic Spent Stop Bath can be combined to form a neutral solution, having a pH of approximately 7, which make them less hazardous to be disposed off down the sink into the drain
Therefore, <em>developer is poured down the drain while fixer can be reused</em>
Within the Flags detail is a flag titled recursion desired. This flag shows whether or not the local DNS should continue to query other DNSs if it is not able to resolve the current query. As DNS is local, it may or may not have the enough information to allow the address to be resolved. If the recursion flag is set, the local <span>DNS will continue to query higher level DNSs until it is able to resolve the address. In short, t</span>he condition is when a flag is raised and it doesn’t have enough <span>information to allow the request.</span>
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7 is true
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the user preference settings</span>
Answer:
1) Bottom-up
2) Top-down
Explanation:
In general dynamic programming is a divide and conquer strategy which can be implemented using bottom up approach or top down approach.
Bottom-up approach in dynamic programming will solve a relatively simple sub-problem first and then use the solution to build and arrive at solutions to a bigger sub-problem.
Top down approach is reversed to bottom-up approach and is also known as Memoization Method. Instead of solving a problem started from the base state sub-problem, the top down approach break a problem into a smaller problems from the top most destination state until it reaches the bottom most base state.
