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  2. Dungeon Master's Guide - Wikipedia

    en.wikipedia.org/wiki/Dungeon_Master's_Guide

    The Dungeon Master's Guide (DMG or DM's Guide; in some printings, the Dungeon Masters Guide or Dungeon Master Guide) is a book of rules for the fantasy role-playing game Dungeons & Dragons. The Dungeon Master's Guide contains rules concerning the arbitration and administration of a game, and is intended for use by the game's Dungeon Master .

  3. Z-Library - Wikipedia

    en.wikipedia.org/wiki/Z-Library

    Z-Library (abbreviated as z-lib, formerly BookFinder) is a shadow library project for file-sharing access to scholarly journal articles, academic texts and general-interest books. It began as a mirror of Library Genesis, but has since expanded dramatically. [6] [7]

  4. Xbox network - Wikipedia

    en.wikipedia.org/wiki/Xbox_network

    The service was extended in 2007 across the Windows platform, named Games for Windows – Live, now defunct, which made most aspects of the system available on Windows computers. The Xbox app is now used to cross over the Xbox ecosystem into PC gaming, in addition to handhelds and mobile phones as part of the Play Anywhere initiative. [11]

  5. Penis Stretching: 5 Exercises for Length and Girth - Healthline

    www.healthline.com/health/mens-health/penis...

    Place the O-shaped gesture at the base of your penis. Make the O smaller until you put mild pressure on your penis shaft. Slowly move your finger and thumb toward the head of your penis until you ...

  6. Identify possible conditions and treatment related to your symptoms. This tool does not provide medical advice. NEW: This symptom checker now includes the ability to select symptoms by body location. We hope this makes it easier for you to identify your symptoms and possible conditions. The tool also allows you to select multiple symptoms quickly.

  7. Monte Carlo method - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_method

    The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.

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