Surveillance Colonoscopy Is CostEffective for Patients With Adenomas Who Are at High Risk of Colore.docx

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Surveillance Colonoscopy Is CostEffective for Patients With Adenomas Who Are at High Risk of Colore.docx

SurveillanceColonoscopyIsCostEffectiveforPatientsWithAdenomasWhoAreatHighRiskofColore

Multigrainsedimentation/erosionmodelbasedoncross-shoreequilibriumsedimentdistribution:

Applicationtonourishmentdesign  OriginalResearchArticle

Estuarine,CoastalandShelfScience,Volume67,Issue4,May2006,Pages664-672

FangjunLi,ChrisDyt,CedricGriffiths

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

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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$35.95

683

Cognitivedevelopmentinmacaques:

Attentionalset-shiftinginjuvenileandadultrhesusmonkeys  OriginalResearchArticle

Neuroscience,Volume157,Issue1,11November2008,Pages22-28

M.R.Weed,R.Bryant,S.Perry

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

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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$31.50

684

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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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

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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$41.95

686

Desertificationduetoovergrazinginadynamiccommerciallivestock–grass–soilsystem  OriginalResearchArticle

EcologicalModelling,Volume205,Issues3-4,24July2007,Pages277-288

JavierIbáñez,JaimeMartínez,SusanneSchnabel

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

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

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