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Vintage Story is a sandbox survival game developed and published by Anego Studios. The founders of Anego Studios, Tyron and Irena Madlener, began development on a standalone version of an earlier mod for Minecraft called Vintagecraft in April 6, 2016 [1] and became available for owners of a "game key" in September 4, 2016. [2]
Africa is the world's second-largest and second-most populous continent after Asia.At about 30.3 million km 2 (11.7 million square miles) including adjacent islands, it covers 20% of Earth's land area and 6% of its total surface area. [9]
The first modern research into military solid-propellant rockets in the United States was conducted by Colonel Leslie Skinner at the Aberdeen Proving Ground in 1932. Little interest was shown by the US Armed Forces however, until the introduction of a British anti-aircraft rocket; [4] both nations exchanged their research data before the United States entered World War II.
Pont du Gard (1st century AD), over the Gardon in southern France, is one of the masterpieces of Roman technology. Ancient Roman technology is the collection of techniques, skills, methods, processes, and engineering practices which supported Roman civilization and made possible the expansion of the economy and military of ancient Rome (753 BC – 476 AD).
Limestone was also a very popular building block in the Middle Ages in the areas where it occurred, since it is hard, durable, and commonly occurs in easily accessible surface exposures. Many medieval churches and castles in Europe are made of limestone. Beer stone was a popular kind of limestone for medieval buildings in southern England. [109]
A fall is a movement of isolated blocks or chunks of soil in free-fall. The term topple refers to blocks coming away by rotation from a vertical face. A slide is the movement of a body of material that generally remains intact while moving over one or several inclined surfaces or thin layers of material (also called shear zones) in which large ...
Neural networks are typically trained through empirical risk minimization.This method is based on the idea of optimizing the network's parameters to minimize the difference, or empirical risk, between the predicted output and the actual target values in a given dataset. [4]