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2. Antivirus software - Wikipedia

   en.wikipedia.org/wiki/Antivirus_software

   Antivirus software (abbreviated to AV software), also known as anti-malware, is a computer program used to prevent, detect, and remove malware. Antivirus software was originally developed to detect and remove computer viruses, hence the name.

3. Divisibility rule - Wikipedia

   en.wikipedia.org/wiki/Divisibility_rule

   If the last digit is 0. 110 (The original number) 11 0 (Take the last digit of the number, and check if it is 0 or 5) 11 0 (If it is 0, take the remaining digits, discarding the last) 11 × 2 = 22 (Multiply the result by 2) 110 ÷ 5 = 22 (The result is the same as the original number divided by 5) If the last digit is 5. 85 (The original number)

4. Ten-code - Wikipedia

   en.wikipedia.org/wiki/Ten-code

   10-7 A — Not Available 10-7 B Off Radio 10-8 In service. In Service Clear In Service 10-9 Repeat, conditions bad. Repeat Say Again 10-10 Out of service—subject to call. On minor detail, subject to call Fight in progress Negative — 10-11 Dispatching too rapidly. Stay in service Dog Case ... On Duty On Radio 10-12 Officials or visitors present.

5. Gen Digital - Wikipedia

   en.wikipedia.org/wiki/Gen_Digital

   Gen Digital Inc. (formerly Symantec Corporation and NortonLifeLock) is a multinational software company co-headquartered in Tempe, Arizona and Prague, Czech Republic. The company provides cybersecurity software and services. Gen is a Fortune 500 company and a member of the S&P 500 stock-market index.

6. Number - Wikipedia

   en.wikipedia.org/wiki/Number

   In this base 10 system, the rightmost digit of a natural number has a place value of 1, and every other digit has a place value ten times that of the place value of the digit to its right. In set theory, which is capable of acting as an axiomatic foundation for modern mathematics, [34] natural numbers can be represented by classes of equivalent ...

7. Zipf's law - Wikipedia

   en.wikipedia.org/wiki/Zipf's_law

   Even in English, the deviations from the ideal Zipf's law become more apparent as one examines large collections of texts. Analysis of a corpus of 30,000 English texts showed that only about 15% of the texts in it have a good fit to Zipf's law. Slight changes in the definition of Zipf's law can increase this percentage up to close to 50%. [43]