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10.1038/s41598-021-85432-x http://scihub22266oqcxt.onion/10.1038/s41598-021-85432-x 33828120!8026632!33828120     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\33828120.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Rep 2021 ; 11 (1): 7645 Nephropedia Template TP {{tp|p=33828120|t=2021. Heuristic assessment of choices for risk network control |pdf=|usr=}}{{33828120}} gab.com Text Heuristic assessment of choices for risk network control JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33828120 #FOAvip Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, both of which are beyond the current scope of traditional control theory. We construct the global economy risk network by combining the consensus of experts from the World Economic Forum with risk activation data to define its topology and interactions. Many of these risks, including extreme weather and drastic inflation, pose significant economic costs when active. We introduce a method for converting network interaction data into continuous dynamics to which we apply optimal control. We contribute the first method for constructing and controlling risk network dynamics based on empirically collected data. We simulate applying this method to control the spread of COVID-19 and show that the choice of risks through which the network is controlled has significant influence on both the cost of control and the total cost of keeping network stable. We additionally describe a heuristic for choosing the risks trough which the network is controlled, given a general risk network. Twit Text FOAVip Heuristic assessment of choices for risk network control ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33828120 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33828120 #FOAvip English Wikipedia <ref>{{Cite pmid|33828120}}</ref> Heuristic assessment of choices for risk network control #MMPMID33828120 Brissette C; Niu X; Jiang C; Gao J; Korniss G; Szymanski BK Sci Rep 2021[Apr]; 11 (1): 7645 PMID33828120show ga Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, both of which are beyond the current scope of traditional control theory. We construct the global economy risk network by combining the consensus of experts from the World Economic Forum with risk activation data to define its topology and interactions. Many of these risks, including extreme weather and drastic inflation, pose significant economic costs when active. We introduce a method for converting network interaction data into continuous dynamics to which we apply optimal control. We contribute the first method for constructing and controlling risk network dynamics based on empirically collected data. We simulate applying this method to control the spread of COVID-19 and show that the choice of risks through which the network is controlled has significant influence on both the cost of control and the total cost of keeping network stable. We additionally describe a heuristic for choosing the risks trough which the network is controlled, given a general risk network. |*Risk[MESH] |Algorithms[MESH] |COVID-19/*epidemiology/transmission[MESH] |Computer Simulation[MESH] |Heuristics[MESH] |Humans[MESH]Heuristic assessment of choices for risk network control (epmc).pdf DeepDyve Pubget Overpricing