Question: In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying unnecessary information and removing it. The process of reducing the size of a data file is referred to as data compression. In the context of data transmission, it is called source coding (encoding done at the source of the data before it is stored or transmitted) in opposition to channel coding.

Compression is useful because it helps reduce resource usage, such as data storage space or transmission capacity. Because compressed data must be decompressed to use, this extra processing imposes computational or other costs through decompression; this situation is far from being a free lunch. Data compression is subject to a spacetime complexity trade-off. For instance, a compression scheme for video may require expensive hardware for the video to be decompressed fast enough to be viewed as it is being decompressed, and the option to decompress the video in full before watching it may be inconvenient or require additional storage. The design of data compression schemes involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced (when using lossy data compression), and the computational resources required to compress and decompress the data. 1. Why is compression Useful?
2. What are the type of resource usage
3. What is the use for this space?
4. What is the example of the situation for the compressed data?
5. What utilized encoding information?
6. What is the name of the process at which this is used.
7. What are the two varieties of compression?
8. What differentiate the Lossy?
9. What is data compression called?
10. Do video compression require costly materials? Provide a numbered list of answers.
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A numbered of answers: 1. it helps reduce resource usage
2. data storage space or transmission capacity
3. SO as o compress data?
4. compression scheme for video
5. data compression, source coding, or bit-rate reduction
6. signal processing
7. lossy or lossless
8. Lossy compression reduces bits by identifying unnecessary information and removing it
9. reducing the size of a data file
10. yes

Question: Nova Scotia (; Latin for "New Scotland"; ; ) is one of Canada's three Maritime provinces, and one of the four provinces which form Atlantic Canada. Its provincial capital is Halifax. Nova Scotia is the second smallest of Canada's ten provinces, with an area of , including Cape Breton and another 3,800 coastal islands. As of 2016, the population was 923,598. Nova Scotia is the second most-densely populated province in Canada with .

"Nova Scotia" means "New Scotland" in Latin and is the recognized English language name for the province. In Scottish Gaelic, the province is called ", which also simply means "New Scotland". The province was first named in the 1621 Royal Charter granting the right to settle lands including modern Nova Scotia, Cape Breton Island, Prince Edward Island, New Brunswick and the Gaspe Peninsula to Sir William Alexander in 1632.

Nova Scotia is Canada's smallest province in area after Prince Edward Island. The province's mainland is the Nova Scotia peninsula surrounded by the Atlantic Ocean, including numerous bays and estuaries. Nowhere in Nova Scotia is more than from the ocean. Cape Breton Island, a large island to the northeast of the Nova Scotia mainland, is also part of the province, as is Sable Island, a small island notorious for its shipwrecks, approximately from the province's southern coast. 1. How many provinces do Canada have?
2. How many maritime provinces does Canada have?
3. What rank in size does Nova Scotia hold in the ten provinces? Provide a numbered list of answers.
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A numbered of answers: 1. three
2. three
3. second smallest

Question: (CNN) -- The NBA Finals are now all-square at 2-2 after the Dallas Mavericks defeated the Miami Heat 86-83 in a thrilling Game Four of the best-of-seven-series.

Once again in-form Dirk Nowitzki top scored for the Mavericks, scoring 21 points, with 10 of these coming in the final quarter, as the lead changed hands no fewer than 12 times on Tuesday.

German Nowitzki, who performed to his best despite suffering from a fever, also helped himself to 11 rebounds, while Shawn Marion scored 16 points and Tyson Chandler finished with 13 points and 16 rebounds for the Mavericks.

Wade turns up Heat on Mavericks

Jason Terry and DeShawn Stevenson made significant contributions from the bench, coming on to score 17 and 11 points respectively for the Mavericks in front of a crowd of 20,430 at the American Airlines Center.

However, the game's overall top scorer was Dwyane Wade with 32 points for the Heat, while Chris Bosh helped himself to 24 points.

But LeBron James struggled to find his shooting form, finishing with just eight points in a disappointing display.

Game five is in Dallas on Thursday before the series switches back to Miami for game six on Sunday.

This year's final is a rematch of the 2006 NBA championship series that Miami took in six games for its first title in franchise history. Dallas has never won the NBA title in its 31-year history.

1. Who played in the 2006 NBA championship series?
2. Who was the highest scoring player in game 4
3. How about on the Mavericks?
4. What country is he from?
5. Where did they play?
6. Infront of how many fans?
7. Where will the next match be played?
8. What was the final score
9. Did LeBron play well?
10. How much did he score
11. How many points did Terry and Stevenson combine? Provide a numbered list of answers.
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A numbered of answers: 1. Dallas Mavericks and Miami Heat
2. Dwyane Wade
3. Dirk Nowitzki
4. Germany
5. American Airlines Center.
6. 20,430
7. Dallas
8. 86-83
9. no
10. eight points
11. 28

Question: The tz database is a collaborative compilation of information about the world's time zones, primarily intended for use with computer programs and operating systems. Paul Eggert is its current editor and maintainer, with the organizational backing of ICANN. The tz database is also known as tzdata, the zoneinfo database or IANA time zone database. It is sometimes called the Olson database, referring to the founding contributor, Arthur David Olson.

Its uniform naming convention for time zones, such as "America/New_York" and "Europe/Paris", was designed by Paul Eggert. The database attempts to record historical time zones and all civil changes since 1970, the Unix time epoch. It also includes transitions such as daylight saving time, and also records leap seconds.

The database, as well as some reference source code, is in the public domain. New editions of the database and code are published as changes warrant, usually several times per year.

The tz database is published as a set of text files which list the rules and zone transitions in a human-readable format. For use, these text files are compiled into a set of platform-independent binary filesone per time zone. The reference source code includes such a compiler called zic (zone information compiler), as well as code to read those files and use them in standard application programming interfaces such as codice_1 and codice_2. 1. What database is this article talking about?
2. Who designed its uniform naming convention for time zones?
3. It is intended to be used on what devices?
4. Give me another name for the database?
5. Is it also called Oslon database?
6. named after who?
7. And who was he?
8. What does the database record?
9. Is the database in the public domain?
10. Are new editions published as the changes warrant? Provide a numbered list of answers.
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A numbered of answers:
1. The tz database
2. Paul Eggert.
3. platform-independent binary files
4. tzdata
5. sometimes
6. Arthur David Olson.
7. the founding contributor
8. information about the world's time zones
9. yes
10. yes