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SurveillanceColonoscopyIsCostEffectiveforPatientsWithAdenomasWhoAreatHighRiskofColore
Multigrainsedimentation/erosionmodelbasedoncross-shoreequilibriumsedimentdistribution:
Applicationtonourishmentdesign OriginalResearchArticle
Estuarine,CoastalandShelfScience,Volume67,Issue4,May2006,Pages664-672
FangjunLi,ChrisDyt,CedricGriffiths
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Abstract
Inthelightofglobalwarmingandsealevelrisetherearemanycoastalbeachesthatsufferfromerosion.Beachnourishmenthasbecomeacommonpracticetomaintainthesedimentbalanceonashore-face.Inthispaper,athree-dimensionalnumericalmodelforevaluatinglong-termimpactofbeachnourishmentprojectshasbeendeveloped.Themodeladdressesthelongstandingcomplexissueofcoastalmorphologyandsedimentgrainsizedistributionfromanunconventionalangle,whichexploitsthestronglinksbetweengrainsizedistributionandtheprevailingtransportdirectionofeachsedimentconstituentunder‘average’waveandstormaction.Thepresentmodelpredictstheredistributionofnourishedsedimentaccordingtothesubtlecluesimpliedbyequilibriumdistributioncurvesandlatestcoastalwavetransformationtheories.AfterverificationagainstrecentfieldobservationsinTerschelling,TheNetherlands,themodelwasusedtopredictlong-termeffectsofdifferentbeachnourishmentstrategies.Itwasfoundthat:
(a)giventhesourcesedimentavailableinTerschellingthetacticsoflargevolumeandlessfrequentimplementationarebetterthanotherwise;and(b)fromapureengineeringpointofview,waterlinenourishmentoutperformsoffshoretroughnourishment.
Themodeloffersanadditionaltoolforcoastalengineerstoevaluatethefeasibility,effectivenessandtheoptimizationofdumpinglocationsforbeachnourishmentprojects.Itisalsoausefultoolforstratigraphicmodellingofshallow-marinesedimentationinconjunctionwithsealevelchanges.
ArticleOutline
1.Introduction
2.Equilibriumcurvebasedcoastalsedimenttransportmodel
3.StudyareaofTerschelling
3.1.Sedimentdistributioninthenaturalsystems
3.2.Comparisonbetweentheoriginalandsuppliedsediment
4.Multigraincoastalsedimentationmodelimplementation
5.Modelresults
6.Conclusionsandrecommendations
Acknowledgements
References
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Cognitivedevelopmentinmacaques:
Attentionalset-shiftinginjuvenileandadultrhesusmonkeys OriginalResearchArticle
Neuroscience,Volume157,Issue1,11November2008,Pages22-28
M.R.Weed,R.Bryant,S.Perry
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Abstract
Inhumansandnonhumanprimates,thestructureandfunctionoffrontalcorticalregionsofthebrainarenotcompletelydevelopeduntilearlyadulthood.Howthiscorticaldevelopmentaffectscognitivefunctioncontinuestobeelucidated.Tothatend,thisexperimenttestedtheabilityofjuvenileandadultrhesusmonkeystoperformacognitivetaskthatisdependentuponintactfrontalcorticalfunctionforoptimalperformance.Twenty-fourjuvenile(meanage2.3years)and16adult(meanage10.3years)rhesusmonkeysweretestedontheCambridgeNeuropsychologicalTestAutomatedBatteryintradimensional/extradimensionalset-shifting(ID/ED)task.PerformanceontheID/EDtaskhasbeenshowntobedependentuponfrontalcorticalfunctioninbothhumansandnonhumanprimates.Comparedwithadults,juvenileswereimpairedonthereversalofsimplediscrimination,intradimensionalshift,reversalofintradimensionalshift,andtheextradimensionalshiftstagesofthetask.Theseresultsindicatejuvenilescommittedmoreperseverativeerrorsandmoreerrorsontheset-formationandset-shiftingcomponentsoftheID/EDtask.Thedevelopmentalstageofthejuvenilemonkeyscorrespondstoroughly5to6-year-oldchildren,andtheseresultsareconsistentwithperformanceofhumanchildrenandadultsonsimilarID/EDtestsandonseveralothertestsofattentionalset-shiftingorattentionalflexibility.Furthermore,theseresultsareconsistentwiththeongoingdevelopmentoffrontalcorticalstructuresrelatingtoongoingcognitivedevelopmentinnonhumanprimates.
ArticleOutline
Experimentalprocedures
Subjects
Apparatus
Initialtrainingprocedure
Visualdiscriminationtrainingprocedure
ID/EDprocedure
Statisticalanalysis
Results
Discussion
Conclusion
Acknowledgements
References
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Adolescentdevelopment,hypothalamic-pituitary-adrenalfunction,andprogrammingofadultlearningandmemory ReviewArticle
ProgressinNeuro-PsychopharmacologyandBiologicalPsychiatry,Volume34,Issue5,30June2010,Pages756-765
CherylM.McCormick,IvaZ.Mathews
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UsingPHREEQCformodellingandsimulationofdynamicleachingtestsandscenarios OriginalResearchArticle
JournalofHazardousMaterials,Volume157,Issues2-3,15September2008,Pages525-533
L.Tiruta-Barna
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Abstract
ThispaperpresentsanextensionoftheapplicationfieldofPHREEQCgeochemicalsoftwareformodellingthedynamicleachingtests(andscenarios)bytakingintoaccounttheleachantcompartmentascomplexreactive/transportsystemandthecouplingofmanyreactivecompartmentslinkedbysubstancefluxes.
Thisstudyfocusesonthespecificcaseofdynamicleachingofmonolithicporousmaterials(particularlythecaseofcontinuousmonolithicleachingtest,CMLT)wherereaction/diffusionoccursintheporousmatrixandwheretheleachantisacomplexreactorinwhichchemistrycoupledwithinter-phasemasstransferandconvectionprocessestakeplace.
Itisdemonstratedherethatthemodellingofopenreactors(convection)ispossiblewithPHREEQCbyusingRATESandKINETICSkeyworddatablocks.ThePHREEQCmodelwasvalidatedbyresultscomparisonwithanalyticalsolutionsofthesystemequations.
Couplingadiffusioncompartmentwithanopenreactor(complexboundaryconditionsforthediffusionequation)requirestheintroductionofastagnantcellonthefirstgridcellofthediffusioncompartmentinTRANSPORTdatablockandtheuseofMIXfunctionformodelthemonolith/leachantinterfacetransfer.TheproposedmodelwasvalidatedbycomparisonwithnumericalsolutionsobtainedwithMATLABandbyanumericalsensibilitystudy.
Finally,themodelequationsaregivenforacomplexdynamicleachingprocessofaporousmonolithinvolvingbesidereaction/diffusioninthemonolith,reactions,interfacemasstransfers,gasabsorptionandconvectionintheleachant.ExamplesofPHREEQCmodellingarepresented:
(1)thecaseofcontinuousleachingofacementbasedmaterialusingcarbonatedwaterand
(2)afieldscalewaterstoragepoolconstructedwithasolidified/stabilisedmaterial.Thecomparisonwiththeexperimentalleachingdatashowsthesimulationresultsareverysatisfying.
ArticleOutline
1.Introduction
2.Dynamicleachingtestsandscenarios
3.ModellingofopenstirredreactorswithPHREEQC
4.Couplingadiffusioncompartmentwithanopenstirredreactor
5.DynamicleachingmodelusingPHREEQC
6.Conclusions
References
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Desertificationduetoovergrazinginadynamiccommerciallivestock–grass–soilsystem OriginalResearchArticle
EcologicalModelling,Volume205,Issues3-4,24July2007,Pages277-288
JavierIbáñez,JaimeMartínez,SusanneSchnabel
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Abstract
Inthisarticle,adynamicsimulationmodelispresented,designedtoaddtotheunderstandingofcommerciallivestock–grass–soilsystemsand,especially,theprocessesofdesertificationduetoovergrazing.Themodelhastwokeyinnovativefeatures:
(i)thejointdynamictreatmentofthethreementionedstockvariablesand(ii)theconsiderationoflivestockdynamicsdeterminedbyeconomicvariables.Themainpossiblebehavioursoftheresultingthree-dimensionalsystemarepresentedanditisshownthattherearesignificantdifferenceswithrespecttothesubsystemconstrainedtolivestockandgrassesasconsideredintheliteraturetodate.Afteranalysingthemodelqualitatively,weareabletoproposesomeearlywarningindicatorsoftheriskoflong-termdesertificationduetoovergrazing.Inthisarticle,weillustratetheuseofthoseindicatorsinthreehypothetical,yetlikelyextensivelivestockfarmingscenariosinSpain.
ArticleOutline
1.Desertificationinextensivelivestock–farmingsystems
2.Descriptionofadynamiclivestock–grass–soilsystem
2.1.Stateequationforlivestock
2.2.Stateequationforgrass
2.3.Stateequationforsoil
3.Modelisoclines
3.1.Livestocknumbers
3.2.Soilisocline
3.3.Grassisocline
4.Desertificationofthegrass–soilsubsystemwithoutlivestock
5.Desertificationofthelivestock–grasssubsystemwithabundantsoil
6.Desertificationinthewhole(L,G,S)system
7.Indicatorsofdesertificationriskduetoovergrazing
8.Examplesofapplicationofthedesertificationriskindicatorsduetoovergrazing
8.1.Cattlefarmedondehesasinsouth-westernSpain
8.2.Sheepfarmedondehesasinsouth-westernSpain
8.3.Goatsfarmedonpasturesinsouth-easternS