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10.1038/s41598-018-22062-w http://scihub22266oqcxt.onion/10.1038/s41598-018-22062-w C5840425!5840425 !29511246     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=29511246 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29511246 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Rep 2018 ; 8 (1 ): 4068 Nephropedia Template TP {{tp|p=29511246 |t=2018. Stirring does not make populations well mixed |pdf=|usr=}}{{29511246 }} gab.com Text Stirring does not make populations well mixed JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=29511246 #FOAvip In evolutionary dynamics, the notion of a 'well-mixed' population is usually associated with all-to-all interactions at all times. This assumption simplifies the mathematics of evolutionary processes, and makes analytical solutions possible. At the same time the term 'well-mixed' suggests that this situation can be achieved by physically stirring the population. Using simulations of populations in chaotic flows, we show that in most cases this is not true: conventional well-mixed theories do not predict fixation probabilities correctly, regardless of how fast or thorough the stirring is. We propose a new analytical description in the fast-flow limit. This approach is valid for processes with global and local selection, and accurately predicts the suppression of selection as competition becomes more local. It provides a modelling tool for biological or social systems with individuals in motion. Twit Text FOAVip Stirring does not make populations well mixed ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=29511246 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29511246 #FOAvip English Wikipedia <ref>{{Cite pmid|29511246 }}</ref> Stirring does not make populations well mixed #MMPMID29511246 Herrerías-Azcué F ; Pérez-Muñuzuri V ; Galla T Sci Rep 2018[Mar]; 8 (1 ): 4068 PMID29511246 show ga In evolutionary dynamics, the notion of a 'well-mixed' population is usually associated with all-to-all interactions at all times. This assumption simplifies the mathematics of evolutionary processes, and makes analytical solutions possible. At the same time the term 'well-mixed' suggests that this situation can be achieved by physically stirring the population. Using simulations of populations in chaotic flows, we show that in most cases this is not true: conventional well-mixed theories do not predict fixation probabilities correctly, regardless of how fast or thorough the stirring is. We propose a new analytical description in the fast-flow limit. This approach is valid for processes with global and local selection, and accurately predicts the suppression of selection as competition becomes more local. It provides a modelling tool for biological or social systems with individuals in motion. |*Biological Evolution [MESH] |*Models, Statistical [MESH] |*Population Dynamics [MESH] |*Selection, Genetic [MESH] |Computer Simulation [MESH]Stirring does not make populations well mixed (epmc).pdf DeepDyve Pubget Overpricing