简介：Thewater-conductingnetworkofcapillariesinvascularplantshasevolvedoverhundredsofmillionsofyearsinordertobeabletocopewithbubbleclogging,aproblemwhichalsoaffectsmodernmicrofluidicdevices.Decadesofanatomicalstudieshaverevealedthatplantsgrowinginhabitatsinwhichtheformationofbubbles,oremboli,islikelytobeafrequentoccurrenceoftenhavevariousformsofgeometricalsculpturingontheinternalsurfacesofthexylemconduits.Thepossiblefunctionofsuchwallsculpturinghaslongbeenthesubjectofspeculation.Wehaveinvestigatedthehypothesisthatwallsculpturingisafunctionaladaptationdesignedtoincreasethewettabilityofthewallsofxylemconduits,aneffectwhichcouldbedescribedastheinverseofthewell-knownlotus-effect.Ourresultsshowthatwallsculpturingdoesenhancewettability.Importantly,theoreticalcalculationsrevealthatthegeometricparametersofvarioustypesofwallsculpturingaresuchthattheresultingsurfacesaresufficientlyroughtoenhancewettability,butnotsignificantlyrougher.Theresultsprovideanappealinganswertothelong-standingdebateonthefunctionofwallsculpturinginxylemconduits,andmayprovidebiomimeticcluesfornewapproachestotheremovalofbubblesinmicrofluidicchannels.

简介：Itisveryimportantinthefieldofbioinformaticstoapplycomputertoperformthefunctionannotationfornewsequencedbio-sequences.BasedonGOdatabaseandBLASTprogram,anovelmethodforthefunctionannotationofnewbiologicalsequencesispresentedbyusingthevariable-precisionroughsettheory.TheproposedmethodisappliedtotherealdatainGOdatabasetoexamineitseffectiveness.Numericalresultsshowthattheproposedmethodhasbetterprecision,recall-rateandharmonicmeanvaluecomparedwithexistingmethods.