简介:Amajorroleofecologicalriskassessment(ERA)hasbeentoprovidescientificguidanceonwhetherafuturehumanactivitywillcauseecologicalharm,includingsuchactivitiesasreleaseofageneticallymodifiedorganism(GMO),exoticspecies,orchemicalpollutantintotheenvironment.Thisrequiresthedeterminationofthelikelihoodsthattheactivity:wouldcauseaharm,andwouldnotcauseaharm.Inthefirstcase,thefocusisondemonstratingthepresenceofaharmanddevelopingappropriatemanagementtomitigatesuchharm.Thisisusuallyevaluatedusingstandardhypothesisanalysis.Inthesecondcase,thefocusisondemonstratingtheabsenceofaharmandsupportingadecisionofbiosafety.WhilemostERAresearchershavefocusedonfindingpresenceofharm,andsomehavewronglyassociatedthelackofdetectionofharmwithbiosafety,anovelapproachinERAwouldbetofocusondemonstratingdirectlythesafetyoftheactivity.Although,someresearchershavesuggestedthatretrospectivepoweranalysiscanbeusedtoinferabsenceofharm,itactuallyprovidesinaccurateinformationaboutbiosafety.Adecisionofbiosafetycanonlybesupportedinastatisticallysoundmannerbyequivalencetests,describedhere.Usinga20%ecologicalequivalencestandardinGMOexamples,weillustratedtheuseofequivalencetestsfortwo-sampleswithnormalorbinomialdataandmulti-samplenormaldata,andprovidedaspreadsheetcalculatorforeach.Insixoftheeightexamples,theeffectsofCrytoxinsonanon-targetorganismwereequivalenttoacontrol,supportingadecisionofbiosafety.Theseexamplesalsoshowedthatdemonstrationofequivalencedoesnotrequirelargesamplesizes.Althoughmorerelevantecologicalequivalencestandardsshouldbedevelopedtoenableequivalenceteststobecomethemainmethodtosupportbiosafetydecisionmaking,weadvocatetheiruseforevaluatingbiosafetyfornon-targetorganismsbecauseoftheirdirectandaccurateinferenceregardingsafety.
简介:Inthispaperanewreactivemechanismbasedonperception-actionbionicsformulti-sensoryintegrationappliedtoUn-mannedAerialVehicles(UAVs)navigationisproposed.Thestrategyisinspiredbytheolfactorybulbneuralactivityobservedinrabbitssubjecttoexternalstimuli.ThenewUAVnavigationtechniqueexploitstheuseofamultiscrollchaoticsystemwhichisabletobecontrolledinreal-timetowardslesscomplexorbits,likeperiodicorbitsorequilibriumpoints,consideredasperceptiveorbits.Thesearesubjecttoreal-timemodificationsonthebasisofenvironmentchangesacquiredthroughaSyntheticApertureRadar(SAR)sensorysystem.Themathematicaldetailsoftheapproacharegivenincludingsimulationresultsinavirtualen-vironment.TheresultsdemonstratethecapabilityofautonomousnavigationforUAVbasedonchaoticbionicstheoryincom-plexspatialenvironments.
简介:Anovelbionicswarmintelligencealgorithm,calledantcolonyalgorithmbasedonablackboardmechanism,isproposedtosolvetheautonomyanddynamicdeploymentofmobilessensornetworkseffectively.Ablackboardmechanismisintroducedintothesystemformakingpheromoneandcompletingthealgorithm.Everynode,whichcanbelookedasanant,makesoneinformationzoneinitsmemoryforcommunicatingwithothernodesandleavespheromone,whichiscreatedbyantitselfinnature.ThenantcolonytheoryisusedtofindtheoptimizationschemeforpathplanninganddeploymentofmobileWirelessSensorNetwork(WSN).Wetestthealgorithminadynamicandunconfigurableenvironment.Theresultsindicatethatthealgorithmcanreducethepowerconsumptionby13%averagely,enhancetheefficiencyofpathplanninganddeploymentofmobileWSNby15%averagely.