2026年雅思《阅读》口语题库

2026年雅思《阅读》口语题库

Passage1

ThePsychologyofResilience:BouncingBackfromAdversity

A.Resilienceisoftenmisunderstoodasararetraitthatonlyafortunatefewpossess—aninnateabilitytoweatherthestormsoflifewithoutbeingaffected.However,psychologicalresearchoverthepastfewdecadeshasestablishedthatresilienceisactuallyacommonandfundamentalfeatureofhumanpsychology.Itisnotastaticqualitythatoneeitherhasordoesnothave;rather,itisasetofbehaviors,thoughts,andactionsthatcanbelearnedanddevelopedbyanyone.Muchlikephysicalstrengthrequiresexerciseandpropernutritiontogrow,psychologicalresiliencerequiresspecificskillsandpracticestobecultivated.

B.Atitscore,resilienceisthecapacitytoadaptpositivelytostressandadversity.Thisdefinitionencompassesawiderangeofexperiences,fromcopingwiththedailyhasslesofrush-hourtrafficoraminorargumentwithaspouse,todealingwithtraumaticlifeeventssuchasthedeathofalovedone,aseriousillness,oranaturaldisaster.Whenpsychologiststalkaboutresilience,theyarereferringtotheprocessof"bouncingback"—orevengrowingstronger—fromtheseexperiences.Itisimportanttonotethatresiliencedoesnotmeandenyingtherealityofstressoremotionalpain.Onthecontrary,resilientindividualsacknowledgetheirdifficultiesbutareabletofindawaytonavigatethroughthemandemergewithasenseofwell-being.

C.Oneofthekeyfactorscontributingtoresilienceisthepresenceofsupportiverelationships.Socialsupportactsasabufferagainstthenegativeeffectsofstress.Havinganetworkoffamily,friends,orcommunitymemberswhoprovideemotionalsustenance,tangibleassistance,andvalidationiscrucial.Studieshaveshownthatindividualswhofeelisolatedaremorelikelytosuccumbtothepressuresofstress,whereasthosewhoareembeddedinsupportivesocialnetworkstendtorecovermorequickly.Thissupportdoesnotneedtobevast;evenasingleclose,trustingrelationshipcanprovidethepsychologicalsafetynetneededtofacechallenges.

D.Anothercriticalcomponentisapositiveself-view.Resilientpeopletendtohaveconfidenceintheirabilitytosolveproblemsandmakedecisions.Thissenseofself-efficacyallowsthemtoapproachdifficultsituationswithamindsetthattheycaninfluencetheoutcome,ratherthanseeingthemselvesashelplessvictimsofcircumstance.Thisiscloselylinkedtotheconceptof"locusofcontrol."Individualswithaninternallocusofcontrolbelievethattheyhaveagencyovertheirlives,whilethosewithanexternallocusofcontrolattributeeventstofateorluck.Resilienceisstronglycorrelatedwithaninternallocusofcontrol.

E.Furthermore,resilienceischaracterizedbytheabilitytomanagestrongemotionsandthecapacitytoviewlifeeventsasmeaningful.Emotionalregulationisaskillthatallowsindividualstoexperiencefeelingswithoutbeingoverwhelmedbythem.Itinvolvesrecognizingone'semotionalstate,understandingitstriggers,andemployingstrategiestocopewithit—suchasmindfulness,cognitivereappraisal,orseekingdistraction.Additionally,findingmeaninginadversityisahallmarkofresilience.Thisconcept,oftenassociatedwiththeworkofViktorFrankl,suggeststhatpeoplewhocanfindapurposeintheirsufferingarebetterabletoendureit.Thismightinvolveseeingacrisisasaturningpointforpersonalgrowthoranopportunitytoreassessone'spriorities.

F.Interestingly,resilienceisnotsolelydeterminedbypsychologicalfactors;biologicalfactorsalsoplayarole.Neuroscientistshavediscoveredthatthebrainisremarkablyplastic,capableofrewiringitselfinresponsetoexperiences.Thisneuroplasticitysuggeststhatengaginginresilience-buildingactivitiescanphysicallyalterthebrain'sstructureandfunction.Forinstance,practiceslikemeditationhavebeenshowntoincreasethedensityofgraymatterinareasofthebrainassociatedwithemotionalregulationandself-awareness,suchastheprefrontalcortex.Similarly,regularphysicalexercisereleasesendorphinsandneurotrophinsthatimprovemoodandcognitivefunction,therebyenhancingone'scapacitytocopewithstress.

G.Cultivatingresiliencerequiresintentionaleffortandpractice.Itstartswithdevelopingself-awareness—understandingone'sstrengths,weaknesses,andtypicalreactionstostress.Fromthere,individualscanworkonbuildingtheircopingskills.Thismightinvolvelearningrelaxationtechniques,settingrealisticgoals,andmaintainingahopefuloutlook.Italsomeanstakingcareofone'sphysicalhealththroughadequatesleep,nutrition,andexercise.Byintegratingthesepracticesintodailylife,individualscanbuildareservoirofpsychologicalstrengththattheycandrawuponwhenfacedwithadversity.

Questions1-7

ThereadingPassagehassevenparagraphs,A-G.

Whichparagraphcontainsthefollowinginformation?

Writethecorrectletter,A-G,inboxes1-7onyouranswersheet.

1.Thebiologicalmechanismsinthebrainthatsupporttheabilitytorecoverfromdifficulties.

2.Thedefinitionofresilienceasadynamicprocessratherthanafixedtrait.

3.Theimportanceofinterpretingstressfuleventsashavingsignificanceorpurpose.

4.Theroleofsocialconnectionsinmitigatingtheimpactofstress.

5.Themisconceptionthatresilienceisanexclusivequalitypossessedbyaminority.

6.Thecorrelationbetweenbelievinginone'sownagencyandtheabilitytocope.

7.Thenecessityoftakingproactivestepstoenhanceone'spsychologicalstrength.

Questions8-13

Dothefollowingstatementsagreewiththeinformationgiveninthepassage?

Inboxes8-13onyouranswersheet,write

TRUEifthestatementagreeswiththeinformation

FALSEifthestatementcontradictstheinformation

NOTGIVENifthereisnoinformationonthis

8.Resilientindividualsneverexperienceemotionalpainordistress.

9.Alargesocialnetworkisstrictlynecessaryforresiliencetodevelop.

10.Peoplewithanexternallocusofcontrolaregenerallylessresilientthanthosewithaninternallocusofcontrol.

11.ViktorFranklarguedthatsufferingisessentialforpersonalgrowth.

12.Neuroplasticityallowsthebraintochangeitsstructureinresponsetoresilience-buildingactivities.

13.Physicalexercisehasnodirectimpactonthebrain'sabilitytomanageemotions.

Passage2

TheArchaeologyofSound:AcousticsinAncientStructures

A.Forcenturies,archaeologistsandhistorianshavefocusedprimarilyonthevisualaspectsofancientmonuments—theirarchitecture,alignmentwithcelestialbodies,andartisticdecorations.However,agrowingfieldofresearchsuggeststhatourancestorswerejustasconcernedwiththeauditoryenvironmentoftheirsacredandcommunalspaces.Theemergingdisciplineofarchaeoacousticsseekstounderstandhowancientstructuresweredesignedtomanipulatesound,creatingimmersiveexperiencesthatplayedacrucialroleinrituals,communication,andsocialcohesion.

B.OneofthemostcompellingexamplesofacousticengineeringintheancientworldcanbefoundattheChavíndeHuántartemplecomplexinthePeruvianAndes,datingbacktoaround3000yearsago.Thissite,aUNESCOWorldHeritagecentre,consistsofaseriesoflabyrinthineundergroundpassagewaysandceremonialchambers.Archaeologistshavediscoveredanetworkofventilationshaftsandductsthatappeartohavebeendesignedformorethanjustairflow.Theseshaftsactasacousticfiltersandresonators.

C.Insidethetemple,archaeologistsfoundthe"Lanzón,"agranitesteladepictingafelinedeity.ThelayoutofthecorridorsleadingtotheLanzóncreatesauniqueacousticeffect.Whenaconch-shelltrumpet,knownasa"pututu,"isblownincertainlocations,thesounddoesnotsimplydissipate.Instead,ittravelsthroughthecorridors,bouncingoffthecarefullyangledstonewalls,andcreatesalow-frequencyresonancethatcanbefeltphysicallyasmuchasitisheard.Thisinfrasound—soundbelowthethresholdofhumanhearing—caninducefeelingsofawe,disorientation,orevenamildtrancestate.Itisbelievedthatthiseffectwasutilizedbyprieststoenhancethespiritualauthorityoftheritualsperformedthere.

D.MovingtotheBritishIsles,theprehistoricmonumentofStonehengecontinuestopuzzleresearchers.Whiletheoriesaboutitsastronomicalpurposearewell-documented,recentacousticexperimentshaverevealedthatthestonecirclealsopossessesremarkablesoundproperties.Researchersconductedexperimentsbystrikingthebluestonesandmimickingthesoundsoftheancientenvironment.Theyfoundthatthemassivesarsenstonesactasasonicbarrier,blockingoutnoisefromthesurroundingplainsandcreatingaquiet,isolatedacousticspacewithinthecircle.

E.Furthermore,thearrangementofthestonescreatesanechoeffect,butaveryspecificone.Unlikeasimpleechothatrepeatsasound,thecirculararrangementcreatesa"reverberation"thatlingers.Interestingly,thisreverberationtendstoamplifyfrequencieswithintherangeofthehumanvoice,particularlymalespeech.ThishasledtothehypothesisthatStonehengemayhaveservedasanamplifiedstagefororatoryorchanting,wherethespokenwordofleadersorpriestswouldhavebeenprojectedclearlytoagatheredaudience,perhapsevenmaskingthesoundsofthewindoranimalsoutsidethecircle.

F.InMalta,theHypogeumofĦal-Saflieni,anundergroundnecropolisdatingbackto4000B.C.,offersanotherstrikingexample.Thissubterraneanstructure,carvedoutofsolidlimestone,containsthe"OracleRoom,"famousforitsexceptionalacousticproperties.Theroomhasaresonantfrequencyofaround114Hz,whichcorrespondstothemusicalnoteF#.Whenamalevoicespeaksorsingsatthispitch,theroomamplifiesthesoundintensely,causingvibrationsthatresonatethroughoutthebody.

G.Theeffectsofsuchacousticenvironmentsarenotmerelyaesthetic.Researchinpsychoacousticssuggeststhatspecificsoundfrequenciescanalterhumanbrainwaveactivity,potentiallyinducingstatesofrelaxationorheightenedsuggestibility.TheOracleRoom'sresonanceat114Hzisparticularlysignificantbecausethisfrequencyfallswithintherangeofalphaandthetabrainwaves,whichareassociatedwithmeditativestatesandtheonsetofsleep.ItisplausiblethatthebuildersoftheHypogeumintentionallydesignedthischambertofacilitateritualsinvolvingchantingorprayer,aimingtoinduceacollectivealteredstateofconsciousnessamongtheparticipants.

H.Thestudyofarchaeoacousticsrequiresamultidisciplinaryapproach,combiningtheexpertiseofarchaeologists,acousticians,physicists,andanthropologists.Byusingmoderntechnologysuchasimpulseresponsemeasurementsandlaserscanning,scientistscanmodelthesoundscapesoftheseancientsitesastheywouldhavebeenthousandsofyearsago.Thisresearchnotonlyshedslightonthetechnicalsophisticationofourancestorsbutalsoprovidesamoreholisticunderstandingofhowtheyexperiencedtheworld.Itrevealsthatancientarchitecturewasamulti-sensoryartform,designedtoengagetheeyes,theears,andthemindinaprofoundsynthesisofspaceandsound.

Questions14-19

Lookatthefollowingstatements(Questions14-19)andthelistofancientsitesbelow.

Matcheachstatementwiththecorrectancientsite,A,B,C,orD.

Writethecorrectletter,A,B,C,orD,inboxes14-19onyouranswersheet.

ListofAncientSites

A.ChavíndeHuántar

B.Stonehenge

C.HypogeumofĦal-Saflieni

D.Noneoftheabove

14.Thissiteusesventilationshaftstocreatespecificsoundfiltersandresonators.

15.Thissite'sacousticpropertiesmayhavebeenusedtomaskexternalenvironmentalnoises.

16.Thearchitecturehereamplifiesafrequencythatcanalterbrainwaveactivity.

17.Thesoundcreatedhereincludesinfrasoundthatcancausephysicalsensations.

18.Thissiteenhancestheprojectionofthehumanvoice,particularlymalespeech.

19.Thestructurewasdesignedtofacilitatecollectivealteredstatesofconsciousnessthroughchanting.

Questions20-22

Choosethecorrectletter,A,B,C,orD.

Writethecorrectletterinboxes20-22onyouranswersheet.

20.Accordingtothepassage,whatisthemainfocusofthefieldofarchaeoacoustics?

A.Thestudyofmusicalinstrumentsfoundinarchaeologicaldigs.

B.Theinvestigationofhowancientstructuresmanipulatedsoundforritualisticorsocialpurposes.

C.Theanalysisofthevisualdecorationsinancienttemples.

D.Thecomparisonofmodernandancientmusicalscales.

21.WhateffectdoestheinfrasoundatChavíndeHuántarpotentiallyhaveonpeople?

A.Itcausespermanenthearingloss.

B.Itimprovesphysicalbalance.

C.Itcaninducefeelingsofaweoratrance-likestate.

D.Itallowsforlong-distancecommunication.

22.Whyistheresonantfrequencyof114HzintheOracleRoomconsideredsignificant?

A.Itisthehighestfrequencythehumanearcandetect.

B.Itcorrespondstobrainwavesassociatedwithmeditationandrelaxation.

C.Itisthenaturalfrequencyoflimestone.

D.ItmimicsthesoundofspecificanimalsfoundinMalta.

Questions23-26

Completethesentencesbelow.

ChooseNOMORETHANTWOWORDSfromthepassageforeachanswer.

Writeyouranswersinboxes23-26onyouranswersheet.

23.ResearchersatStonehengefoundthatthesarsenstonesactasa__________,blockingoutexternalnoise.

24.TheacousticeffectatStonehengeisnotasimpleechobutalingering__________.

25.Moderntechnologysuchas__________isusedtomodelthehistoricalsoundscapesofancientsites.

26.Archaeoacousticsisa__________field,requiringthecollaborationofexpertsfromvariousdisciplines.

Passage3

AlgorithmicBias:TheMathematicalChallengeofFairness

A.Asalgorithmsincreasinglymediatecriticalaspectsofhumanlife—fromhiringdecisionsandloanapprovalstocriminalsentencingandhealthcareresourceallocation—thequestionofalgorithmicfairnesshasmovedfromtherealmofabstractphilosophytoapressingsocietalconcern.Whilealgorithmsareoftenperceivedasobjectivemathematicalconstructs,freefromtheprejudicesthatplaguehumandecision-making,therealityisfarmorecomplex.Algorithmslearnfromdata,anddataisareflectionofthehistoricalandsocialcontextsinwhichitwascollected.Consequently,algorithmscaninadvertentlyperpetuate,amplify,orevenexacerbateexistingsocietalbiases.

B.Therootofalgorithmicbiasoftenliesinthetrainingdata.Ifadatasetusedtotrainamachinelearningmodelcontainshistoricaldisparities,themodelwillinevitablylearnthesepatternsas"normal"or"optimal."Forexample,ifacompanyhistoricallyhiredfewwomenfortechnicalroles,analgorithmtrainedonthishistoricalhiringdatamightdowngradetheresumesoffemaleapplicants,identifyinggenderasanegativepredictorofjobperformance.Thisisnotbecausethealgorithm"hates"women,butbecauseitsobjectivefunction—typicallytheminimizationoferrorormaximizationofaccuracy—iscalibratedagainstabiasedhistoricalreality.

C.Aclassicexampleofthisphenomenonoccurredinthecontextofcriminaljustice.SeveraljurisdictionsintheUnitedStatesemployedCOMPAS,ariskassessmentalgorithmusedtopredictthelikelihoodofrecidivismamongdefendants.ProPublica,aninvestigativejournalismorganization,conductedananalysisthatrevealedthealgorithmhadasignificantracialbias.ItwasfoundtofalselyflagAfricanAmericandefendantsas"highrisk"atnearlytwicetherateofwhitedefendants,whilefalselyflaggingwhitedefendantsas"lowrisk"atamuchhigherratethanAfricanAmericandefendants.Thealgorithmwasmathematically"accurate"intermsofoverallpredictionrates,butitexhibiteddisparateimpact,violatingtheethicalprincipleofequaltreatment.

D.Addressingalgorithmicbiasismathematicallychallengingbecausethereisnosingle,universallyagreed-upondefinitionof"fairness."Infact,computerscientistshaveidentifieddozensofmathematicaldefinitionsoffairness,manyofwhicharemutuallyincompatible.Thiscreatesaphenomenonknownasthe"impossibilitytheorem"offairness,whichstatesthatitismathematicallyimpossibletosatisfyalldesirablefairnesscriteriasimultaneously.

E.Tounderstandthistrade-off,considerthreecommonfairnesscriteria:calibration,equalizedodds,anddemographicparity.

1.Calibration:Thisrequiresthatthepredictedriskscoresbeaccurateforallgroups.Forinstance,ifthealgorithmpredictsa10%riskofrecidivismforbothGroupAandGroupB,thenapproximately10%ofpeopleineachgroupshouldactuallyreoffend.

2.EqualizedOdds:Thisrequiresthatthealgorithmhasequaltruepositiveratesandequalfalsepositiveratesforallgroups.Inotherwords,thechanceofamistake(eitherfalselyaccusingsomeoneorfalselyclearingsomeone)shouldbethesameregardlessofgroupmembership.

3.DemographicParity:Thisrequiresthatthealgorithm'sacceptanceorpositivepredictionratesbeequalacrossgroups.If40%ofGroupAispredictedashighrisk,then40%ofGroupBshouldalsobepredictedashighrisk.

F.Themathematicaltensionarisesbecauseoptimizingforonecriterionoftennecessitatessacrificinganother.Forexample,achievingdemographicparitymightrequireviolatingcalibration.Ifaspecificdemographicgrouphasahistoricallylowerrateofrecidivismduetosocioeconomicfactors,forcinganalgorithmtopredictanequalnumberof"highrisk"individualsinthatgroup(demographicparity)wouldmeanthepredictionsarenolongercalibratedtotheactualbaserates.Thealgorithmwouldhavetoover-predictriskforthatgrouptosatisfydemographicparity,therebyreducingitsaccuracy.

G.Thiscanbeexpressedusingtheconceptofutilitymaximizationsubjecttoconstraints.SupposewedefinealossfunctionLthatmeasurestheerrorofthemodel.Astandardmachinelearningmodelseekstominimizethisloss:

=L(,f(;θ))

Whereisthetruelabel,istheinput,andθrepresentsthemodelparameters.

H.Toenforcefairness,weintroduceafairnessconstraintC(θ).Theoptimizationproblembecomes:

=L(,f(;θ))subjecttoC(θ)≤ϵ

Here,ϵisatolerancethresholdforthefairnessviolation.ThechallengeliesinselectingC(θ).Ifwechooseaconstraintbasedondemographicparity,weforcethemodeltoadjustitsparametersθtoensureequaloutcomedistributions.However,iftheunderlyingdatadistributionsP(X|Y=0)andP(X|Y=1)differsignificantlybetweengroups,satisfyingthisconstraintinevitablyincreasestheoveralllossL,makingthemodellessaccurate.Thisisthemathematicalmanifestationofthetrade-offbetweenfairnessandaccuracy.

I.Furthermore,theissueof"proxyvariables"complicatesthemitigationofbias.Evenifsensitiveattributeslikeraceorgenderareremovedfromthedataset,algorithmscanofteninferthemfromcorrelatedvariablesthatremain.Forinstance,inadatasetwhereraceisexcluded,variablessuchaszipcode,educationlevel,andincomecanserveasstrongproxiesforraceinmanycountries.Analgorithmoptimizingforpredictiveaccuracywilllatchontotheseproxiestoachieveitsgoal,effectivelyreintroducingthebiasthatthedataremovalattemptedtoeliminate.Thissuggeststhattechnicalfixesalone,suchasblindingthealgorithmtosensitiveattributes,areinsufficienttoguaranteefairness.

J.Thepathforwardrequiresasocio-technicalapproach.Itinvolvesnotjustrefiningthemathematicalformulas,butalsocriticallyexaminingthedatacollectionprocesses,thecontextinwhichalgorithmsaredeployed,andtheultimategoalsofthesystem.Itrequirestransparencyandaccountability,allowingstakeholderstounderstandandchallengethedecisionsmadebyautomatedsystems.Whilemathematicsprovidesthetoolstomeasureandconstrainbias,thedefinitionofwhatconstitutes"fair"remainsafundamentallyhumanvaluejudgmentthatcannotbefullyautomated.

Questions27-31

Choosethecorrectletter,A,B,C,orD.

Writethecorrectletterinboxes27-31onyouranswersheet.

27.Whatisthemainideaofthepassage?

A.Algorithmsareinherentlyobjectiveandshouldbetrustedoverhumanjudges.

B.Algorithmicbiasisasolvabletechnicalproblemthatrequiresbetterdata.

C.Algorithmicfairnessiscomplexbecausedifferentmathematicaldefinitionsoffairnessconflictwitheachother.

D.TheCOMPASalgorithmwastheonlyexampleofbiasincriminaljustice.

28.AccordingtoparagraphB,whymightanalgorithmdowngradetheresumesoffemaleapplicants?

A.Thealgorithmisprogrammedtoprefermalecandidates.

B.Thetrainingdatareflectsahistoricallackoffemalehires.

C.Womenhavefewertechnicalskillsthanmen.

D.Theobjectivefunctionprioritizesspeedoveraccuracy.

29.WhatdidtheProPublicaanalysisoftheCOMPASalgorithmreveal?

A.ThealgorithmwasinaccurateforbothwhiteandAfricanAmericandefendants.

B.Thealgorithmwasbiasedagainstwhitedefendants.

C.ThealgorithmhadahigherfalsepositiverateforAfricanAmericandefendants.

D.Thealgorithmsuccessfullyeliminatedracialbias.

30.Whatisthe"impossibilitytheorem"offairnessmentionedinparagraphD?

A.Itisimpossibletomakeanalgorithm100%accurate.

B.Itisimpossibletoremoveallsensitivedatafromadataset.

C.Itismathematicallyimpossibletosatisfyallfairnesscriteriasimultaneously.

D.Itisimpossibletopredicthumanbehaviorusingmathematics.

31.InthecontextofparagraphF,whydoesachievingdemographicparityreduceaccuracy?

A.Itrequiresthemodeltoignoretheinputdatacompletely.

B.Itforcesthemodeltoover-predictriskforgroupswithlowerhistoricalbaserates.

C.Itmakesthemathematicalcalculationstoocomplexforthecomputer.

D.Itprioritizestheopinionsofstakeholdersoverstatisticalfacts.

Questions32-35

Lookatthefollowingstatements(Questions32-35)andthelistoffairnesscriteriabelow.

Matcheachstatementwiththecorrectfairnesscriterion,A,B,orC.

Writethecorrectletter,A,B,orC,inboxes32-35onyouranswersheet.

ListofFairnessCriteria

A.Calibration

B.EqualizedOdds

C.DemographicParity

32.Thealgorithmmusthaveequalerrorratesacrossdifferentgroups.

33.Thepredictedriskscoresmustmatchtheactualobservedoutcomesforeachgroup.

34.Thealgorithmmustassignpositiveoutcomesatequalratesacrossgroups.

35.Thiscriterionmightforceamodeltodeviatefromtheactualbaseratesofaneventinaspecificpopulation.

Questions36-40

Completethesummarybelow.

ChooseNOMORETHANTWOWORDSfromthepassageforeachanswer.

Writeyouranswersinboxes36-40onyouranswersheet.

MathematicalFormulationofFairnessConstraints

Toaddressbias,datascientistsmodifytheoptimizationprocessofmachinelearningmodels.Astandardmodelseekstominimizea36__________,whichmeasurestheerrorbetweenthetruelabelandtheprediction.Toensurefairness,a37__________isaddedtotheproblem.Thisconstraintlimitstheextenttowhichthemodelparameterscandeviatefromfairnessstandards.However,thiscreatesatrade-off:satisfyingtheconstraintoftenincreasestheoverall38__________ofthemodel.Furthermore,evenifsensitiveattributesareremoved,algorithmscanuse39__________—suchaszipcode—toinferthem.Therefore,solvingalgorithmicbiasrequiresmorethanjustmath;itdemandsa40__________approachthatconsidershumanvalues.

***

AnswerKeyandExplanations

1.F

Explanation:ParagraphFdiscussesthebiologicalfactors,specificallyneuroplasticityandhowthebrainrewiresitself,whichsupportsresilience.

2.A

Explanation:ParagraphAexplicitlystatesthatresilienceis"notastaticquality"butasetofbehaviorsthatcanbelearned,contradictingtheideaofitbeingafixedtrait.

3.E

Explanation:ParagraphEdiscussestheabilitytoviewlifeeventsasmeaningfulandfindingpurposeinsuffering(associatedwithViktorFrankl).

4.C

Explanation:ParagraphCfocuseson"supportiverelationships"andhowsocialsupportactsasabufferagainststress.

5.A

Explanation:ParagraphAbeginsbydescribingthe"misunderstanding"thatresilienceisa"raretraitthatonlyafortunatefewpossess."

6.D

Explanation:ParagraphDdiscusses"positiveself-view"and"locusofcontrol,"linkingconfidenceinone'sagency(internallocus)totheabilitytocope.

7.G

Explanation:ParagraphGstatesthat"Cultivatingresiliencerequiresintentionaleffortandpractice"anddiscussestakingproactivesteps.

8.FALSE

Explanation:ParagraphBstatesthatresilience"doesnotmeandenyingtherealityofstressoremotionalpain,"implyingresilientpeopledoexperienceit.

9.FALSE

Explanation:ParagraphCmentionsthatsupport"doesnotneedtobevast;evenasingleclose,trustingrelationship"canbesufficient,contradictingtheideathatalargenetworkisstrictlynecessary.

10.TRUE

Explanation:ParagraphDstatesthatresilienceis"stronglycorrelatedwithaninternallocusofcontrol,"implyingthosewithanexternallocus(lessagency)aregenerallylessresilient.

11.NOTGIVEN

Explanation:ThepassagementionsViktorFranklandfindingmeaninginsuffering,butitdoesnotstatethathearguedsufferingisessentialforgrowth,onlythatfindingmeaninginithelpsendureit.

12.TRUE

Explanation:ParagraphFstatesthat"engaginginresilience-buildingactivitiescanphysicallyalterthebrain'sstructureandfunction"duetoneuroplasticity.

13.FALSE

Explanation:ParagraphFstatesthatregularphysicalexercise"releasesendorphins...thatimprovemoodandcognitivefunction,"whichcontradictstheclaimthatithasnoimpact.

14.A

Explanation:ParagraphBmentionsChavíndeHuántar'sventilationshaftsactingas"acousticfiltersandresonators."

15.B

Explanation:ParagraphDstatesthatStonehenge'ssarsenstonesactasa"sonicbarrier,blockingoutnoisefromthesurroundingplains."

16.C

Explanation:ParagraphGdiscussestheHypogeum'sOracleRoomanditsresonanceat114Hz,whichcorrespondstobrainwavesassociatedwithmeditativestates.

17.A

Explanation:ParagraphCmentionsthatthesoundatChavíncreates"infrasound...thatcanbefeltphysicallyasmuchasitisheard."

18.B

Explanation:ParagraphEnotesthatStonehenge'sreverberationtendstoamplifyfrequencies"particularlymalespeech."

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