Star Drift Evolution: Trailer Reveals Early Access Exit

Star Drift Evolution: Trailer Reveals Early Access Exit

Star Drift Evolution

Developer Catze has released a new Star Drift Evolution trailer to announce the game's release from Early Access. Version 1.0 will be available starting August 27, 2021, also marking the beginning of the new competitive seasons, with the yield of the rankings. We are talking about a racing game focused on drifting, apparently light, but very deep in some dynamics.

The development team took the opportunity to recap all the changes made to the game during the period spent in Access Early: addition of some multiplayer modes; added daily challenges with global leaderboards; 15 new circuits have been introduced on which to compete, with the refinement of the existing ones; added 10 new cars, including some nice ones like go-karts and monster trucks; added chapters to career mode; added some special events such as truck racing; improved artificial intelligence, with the ability to adjust its ability; completely revised the user interface; added new music tracks; added a new display mode and more.

If you're interested, find Star Drift Evolution on Steam for only € 12.99.

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Rates of Evolution

How fast is evolution, and why does it matter? The rate of evolution, and whether it is gradual or punctuated, is a hotly debated topic among biologists and paleontologists. This book compiles and compares examples of evolution from laboratory, field, and fossil record studies, analyzing them to extract their underlying rates. It concludes that while change is slow when averaged over many generations, on a generation-to-generation time scale, evolution is rapid. Chapters cover the history of evolutionary studies, from Lamarck and Darwin in the nineteenth century to the present day. An overview of the statistics of variation, dynamics of random walks, processes of natural selection and random drift, and effects of scale and time averaging are also provided, along with methods for the analysis of evolutionary time series. Containing case studies and worked examples, this book is ideal for advanced students and researchers in paleontology, biology, and anthropology.


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