03選擇性高考題型綜合訓(xùn)練（人教版2019）（原卷版）

03選擇性必修第一冊(cè)高考題型綜合訓(xùn)練一、閱讀理解（一）MarieCurie,borninSklodovka,Polandin1876,ledahardlifeasagirl.Herparents,bothteachers,hadsmallsalariesandwerequitepoor,especiallyafterhermotherstoppedteachingtoraisefivechildrenandtakecareofherpoorhealth.Marie’smothersufferedfromtuberculosis(肺結(jié)核)anddiedofitwhenMariewasten.WhenMariewassmall,sheshowedgreatinterestinscience.Shelovedtostudyandhopedtobeeascientistwhenshegrewup.Herparentsencouragedherinterestinscience.Excellentasshewasinherstudies,shecouldn’tgoonwiththeadvancededucationsheneededbecausePolandwasthenruledbyRussiaandwomenwerenotpermittedtogotocollege.Inordertocontinuehereducation,shesmoothedawaymanydifficultiesandenteredParisUniversity,whereshelivedasimplelifeandstudiedhard,soshegraduatedwiththehighestgradesinherclass.AftergraduationshewasengagedinscientificresearchinParisUniversity.ThereshemetPierreCurie,whomshemarried.Pierrejoinedherinherresearchintoanunknownphenomenon“radiation”,whichacertainscientisthaddeclaredthaturaniumgaveoff.TheCuriespentseveralyearstryingtheirbesttofindtheelementthatproducedradiation.Finallytheysucceededin1902.MarieCuriewontwoNobelPrizes,oneforphysicsin1906,togetherwithherhusbandandanotherscientist;theotherforchemistryherselfin1911.MadameCuriewasascientistofgreatachievement,andthefirstwomanevertobehonoredintheNobelPrizehistory.1．WhenMariewasyoung,herfamilybecamepoorerbecause________.A．thefamilyhadfivechildren B．Marie’smothergaveupherjobC．Marie’sfatherhadasmallsalary D．thefamilywascruellytaxedbytheRussians2．Mariecouldn’tcontinuetheadvancededucationbecause_______.A．shewantedtohelpherfathertosupportthefamilyB．herfathercouldn’taffordtosendhertocollegeC．collegesinPolandwouldnottakewomenasstudentsthenD．hergradeswereverypoor3．WhatprovesMariewasthebeststudentinherclassisthat________.A．hergradeswerethehighestinherclassB．shesmoothedawaymanydifficultiesandenteredParisUniversityC．shedidresearchworkafterhergraduationD．shewontheNobelPrizefinally4．Thebesttitleforthispassageis_______.A．MadameCurie’sInterestinScience B．MadameCurieandRadiationC．MarieCurie’sChildhood D．ABriefIntroductionofMadameCurie’sLife（二）Imagineifyourclothescouldpickupthesoundsofeverythinggoingonaroundyou.Scientistshavecreatedafibre(纖維)whichcanpickupsoundsandcouldbeusedasahearingaid,tomonitorheartbeatsoreveninspacecraft.Thenewfibreworkslikeamicrophone.Itpicksupsoundsandturnsthemintovibrations(震動(dòng))andthenelectricalsignals,inasimilarwaytohowearswork.Whenwoven(編織)intoashirt,theresearcherssaythefibrecanevendetectawearer’sheartbeat.Thefibrecanhearsoundsaslowasthoseinaquietlibrarytoloudersoundslikeheavyroadtraffic.Itcanevenaccuratelytellthedirectionofsuddensoundslikehandclaps.ThefibrewascreatedbyengineersatMassachusettsInstituteofTechnology(MIT)andresearchersatRhodeIslandSchoolofDesign.“Wearingapieceofclothingthatcanhear,youmighttalkthroughittoanswerphonecallsandmunicatewithothers,”saidleadauthorYetWan,whocreatedthetechnologyatMIT.Oncetheyhadcreatedthefibre,theteamwoveitintoamoretraditionalpieceofclothingwhichwasmuchmoreflexible.Whenitwaswovenintothebackofashirtitwasabletopickupthesoundofpeopleclapping,evenpickingupthedirectiontheclappingwasingfrom.Whenwovenintotheshirt’sinnerlining(內(nèi)襯)itcouldpickuptheperson’sheartbeat,whichtheresearchersthinkcouldbeusedinapregnantwoman’sclothestomonitorababy’sheartbeat.Aswellaswearablehearingaids,andclothesthattrackyourheartbeat,theteamsaystherearepossibilitiesbeyondclothing.“Itcanbeintegratedwithspacecraftskintolistentospacedust,orembeddedinto(嵌入)buildingstodetectcracksorstrains,”Yetsuggests.“Itcanevenbewovenintoasmartnettomonitorfishintheocean.”5．Whatisthescientists’newinvention?A．Alightweightfibre. B．Anewspacecraftskin.C．Afibrethatcanhear. D．Amicrophonethatcantalk.6．Whatcanwelearnaboutthenewmaterial?A．Itiseasilydistractedbyloudsounds.

B．Itcanevenpickupfaintsounds.C．Itworksmoreaccuratelythanhumanears.D．Itfailstorecognisethedirectionofsounds.7．Whatdidtheteamdoaftercreatingthenewmaterial?A．Theywoveitintobabies’clothes. B．Theyturneditintoafishnet.C．Theyputitintomassproduction. D．Theytesteditsperformance.8．WhatdoYet’swordsinthelastparagraphsuggest?A．Thefibrehasawiderangeofapplications. B．Thefibrecanbringinabigprofit.C．Thefibreneedstobeimproved. D．Thefibreislessflexiblethantraditionalclothes.（三）InordertosurvivetripstoMars,humansneedoxygen.Now,ateamofscientistshasdesignedarobotthatcouldextractoxygenfromwaterontheRedPlanet.Therobot,whichiscalled“AIchemist”,usedamachinelearningmodeltofindapoundthatcouldigniteanoxygenproducingchemicalreactiononMars.Thepound,knownasacatalyst(催化劑),ismadeentirelyfromelementsfoundinMartianmeteorites(隕石)—whichmeans,ifsuchasystemcouldworkreliably,spacetravelerswouldnotneedtobringoxygenoreventhecatalystneededtoproduceit.Mars’atmospherecontainsonlytraceamountsofoxygen.Butscientistshavedetectedevidenceofliquidwaterbeneaththeplanet’ssouthernicecap.Tocreatethebreathablegas,researcherswantedtofindawaytobreakdownthiswaterintoitshydrogenandoxygenmoleculesusingmaterialsfoundonMars.TheirrobotanalyzedfivemeteoritesthateithercamefromMarsorhadapositionsimilartothatoftheMartiansurface.Usingalaser,itidentifiedsignificantamountsofiron,nickel,calcium,magnesium,aluminumandmanganeseinthesamples.Fromthesesixelements,therobot’salgorithm(算法)determineditcouldproducemorethan3.7millionpossiblemoleculestobreakdownwaterandformoxygenonMars.Accordingtotheresearchers,findingthebestonefromthisextensivelistwouldtakeroughly2,000yearsofhumanlabor,butfortheAIchemist,ittookonlyweeks.“OntheEarth,wedon’tusethesesixelements,”YiLuo,acoauthorofthestudysays.“Theyarenotthebestchoicesforcatalysts,butit’sonlywhatyou’vegotonMars.”Withitschosencatalyst,thesystemcouldproduceoxygenfromtheMartianmaterialsataround37℃,demonstratingthechemicalreactioncouldbepossibleonthecoldMartiansurface.Notably,therobotwasabletocarryouttheentireprocess—analyzingtherocksamples,identifyingtheJestpossiblecatalystandproducingitwithouthumanintervention.9．Whatinspiredthescientiststodesigntherobotthatcouldextractoxygen?A．SurvivingontheEarth. B．TripstoMars.C．TravelingontheMoon. D．Watershortage.10．WhatisthebasisofextractingoxygenonMars?A．TheexistenceofwaterandcatalystonMars. B．TheoxygenthatMars’atmospherecontains.C．Thescientists’previousstudyonmeteorites. D．Thelowcostof“AIchemist”.11．WhatdoesParagraph4mainlytalkabout?A．Thefindingofsixelements. B．Theadvantagesoftherobots.C．Theprocessofproducingoxygen. D．Theformationofthemeteorites.12．Whatisthewriter’sattitudetowards“AIchemist”?A．Doubtful. B．Unclear. C．Favorable. D．Indifferent.（四）Manyrobotstrackobjectsby“sight”astheyworkwiththem,butoptical(光學(xué)的)sensorscan’ttakeinanitem’sentireshapewhenit’sinthedarkorpartiallyblockedfromview.Nowanewlowcosttechniqueletsarobotichand“feel”anunfamiliarobject’sformandskillfullyhandleitbasedonthisinformationalone.UniversityofCalifornia,SanDiego,roboticistWangXiaolongandhisteamwantedtofindoutwhetherplexactionscouldbeachievedinroboticsusingonlysimpletouchdata.Theresearchersattached16contactsensors,eachcostingaboutandfingersofafourfingeredrobothand.Thesesensorssimplyindicateifanobjectistouchingthehandornot.“Whileonesensordoesn’tcatchmuch,alotofthemcanhelpyoucapturedifferentaspectsoftheobject”,Wangsays.Inthiscase,therobot’staskwastorotate(旋轉(zhuǎn))itemsplacedinitspalm.Theyfirstransimulations(模擬)tocollectenoughtouchdataasavirtualrobothandpracticedrotatingobjects,includingballsandotherirregularobjects.Usinginformationfromeachsensor,theteambuiltaputermodelthatdeterminesanobject’spositionateverystepofthehandlingprocessandmovesthefingerstorotateitsmoothlyandstably.Next,theytransferredthiscapabilitytooperatearealrobothand,whichsuccessfullycontrolledpreviouslyunfamiliarobjectssuchasapples,tomatoes,soupcansandrubberducks.Transferingtheputermodeltotherealworldwasrelativelyeasybecausethesensordataweresosimple.However,NewYorkUniversity’sLerrelPinto,whostudiesrobots’interactions,wonderswhetherthesystemwouldfailatmoreplicatedtasks.So,infuturework,Wang’sgroupaimstotacklemoreplexmovementsaswellastoaddsensorsinplacessuchasthesidesofthefingers.“Thismeansthattherewillbemoreaccurateinformationfromtouchingthatallowsreconstructingtheobjectshape,”Wangsays.Theresearcherswillalsotryaddingvisiontoplementtouchdataforhandlingplicatedshapes.13．WhydidWangXiaolong’sgroupconducttheresearch?A．Todeveloparobotwithadvancedopticalsensors.B．Toexploretheuseoftouchdatainplexroboticactions.C．Toinvestigatetheimpactoflightingonroboticrecognition.D．Tocreatearobotichandtotakeholdoffamiliarobjects.14．WhatisParagraph3mainlyabout?A．ThefunctionofrobothandsinWang’sresearch.B．Thewaythatrobothandscapturedifferentobjects.C．Thetypeofcontactsensorsattachedtotherobothand.D．TheworkingprincipleofrobothandsinWang’sresearch.15．Howdidtheresearchersgathertouchdatafortherobotichand’straining?A．Theyusedrealworldobjects.B．Theyusedplexopticalsensors.C．Theyreliedonvisionbasedtechnology.D．Theyconductedsimulationswitharobothand.16．WhatisWangXiaolong’sattitudetowardsPinto’sconcernoverthesystem?A．Indifferent. B．Doubtful. C．Positive. D．Dismissive.二、七選五（一）Foursurprisingwaysalgae(藻類)aredrivinginnovationAlgaecanbeadoubleedgedsword.Increasedhumanactivityandclimatechangehavecausedexplosionsofalgaepopulationsinwaterbodiesaroundtheworldsometimeschokingentireecosystemsofsunlightandoxygen.Eventhoughtheyaresocloselyassociatedwithhumanity’snegativeimpactonEarth,algaecouldalsoplaykeyrolesinhelpingfightpollution,viruses,andmore.17Filtering(過濾)water.Withmicroplasticpollutiondocumentedinalmostallwaterbodies,arecentstudyshowsthatthroughabsorption,algaecanhelpfiltermicroplasticsoutofwater.18Fuelingairtravel.19ResearchersataGermanalgaecultivationfacilityarealreadyusingittofueldrones.Theybelievethisandothersustainablefuelscouldreducecarbonemissionsfromairplanesbyupto80percent.Fightingviruses.Redalgaecanpreventthereplication(復(fù)制)ofsomeviruses,includingCOVID19,accordingtoa2020study.20Thus,itcouldbeeapowerfulmedicationtotreatHIV,thevirusthatcausesAcquiredImmuneDeficiencySyndromes(AIDS).21In2019,freshwateralgaewerelaunchedintospacetoturnthecarbondioxideexhaled(呼出)byastronautsontheInternationalSpaceStationintooxygen.Sincealgaearealsohighinprotein,theycouldreplaceupto30percentofastronautfoodinthefuture.A．Makingspacefoodmorenutritious.B．Makinglongtermspacetravelpossible.C．Theseareseveralwaysalgaearesolvingmodernproblems.D．Somealgaecanalsofilterchemicalsthatcanbeusedinfertilizers.E．Brownalgaehavebeenshowntostimulatethebody’simmunesystem.F．Algaecanproducemoreeffectivebiofuelsthantraditionalsourceslikesoybeans.G．Itaimstoharvestalgaeforenergywhilekeepingtheenvironmentpollutionfree.（二）Thehistoryoftheschoolbuscandatebackto1886whentheWayneWorkspanymadehorsedrawncarriages(四輪馬車)knownas“schoolwagons”or“kidhacks”inIndiana.22Intheearly1900s,thecarindustrywasbeginningtodevelopfast.23Thepanymanagedtomakeitscarriagespoweredbyengines.Butthedesignremainedmostlythesameasthatofthepreviousones,withstudentssittingalongthewallsofthebuswhilefacinginside.In1927,amanbuiltthefirstbusthatprimarilyusedsteel.Beforelong,WayneWorksintroducedthefirstallsteelschoolbusbodywithsafetyglasswindows.24Thisledtoaturningpointinthehistoryoftheschoolbusin1939,whenaconferencewasorganisedatManhattanCollegetodevelopschoolbusstandards.Manynewnationalstandardswerecreated,determiningeverythingfromseatingdesignstothefamousyellowcolorthatschoolbusesstillsporttoday.Thereasonwhythecolorwaschosenwassimple.25Thecolorisespeciallyeasytoseeintheearlymorningandeveninglightwhenschoolbusesusuallyoperate.26Forexample,avarietyofchangeshavebeenmadetoenabletheschoolbustonotonlybesaferbutalsohavebetterfuel(燃料)economy,beeasiertodrive,etc.Themostcreativeapproachamongalloftheseisprobablyakindofstopsignalarmthatwarnstrafficofastopinprogress,whichstatesbegantorequireintheearly1950s.A．Horseswereeasytocontrol.B．Notallchosetopainttheirbusesyellow.C．Yellowisquiteeyecatchingtohumanbeings.D．Beforethen,manychildrensimplywalkedtoschool.E．Now,schoolbuseshavehadmanymoreimprovements.F．Still,parentswereincreasinglyconcernedforchildren’ssafety.G．ThisgaveWayneWorksagreatopportunitytoimproveitscarriages.（三）Ifyouthinkofthejobsrobotscouldneverdo,youwouldprobablyputdoctorsandteachersatthetopofthelist.It’seasytoimaginerobotcleanersandfactoryworkers,butsomejobsneedhumanconnectionandcreativity.Butareweunderestimating(低估)whatrobotscando?27Also,somepatientsmightfeelmorefortablesharingpersonalinformationwithamachinethanaperson.28BritisheducationexpertAnthonySeldonthinksso.Andheevenhasadatefortherobottakeoveroftheclassroom:2027.29Andteacherswillbelikeassistants.Intelligentrobotswillreadstudents’facialexpressions,bodymovementsandmaybeevenbrainsignals.Thentheywilladapttheinformationtoeachstudent.It’snotapopularopinionandit’sunlikelyrobotswilleverhaveempathy(同感)andtheabilitytoreallyconnectwithhumanslikeanotherhumancan.Onethingiscertain,though.30Insomepartsoftheworld,therearen’tenoughteachersand916percentofchildrenundertheageof14don’tgotoschool.Thatproblemcouldbepartlysolvedbyrobotsbecausetheycanteachanywhere.Teachersallovertheworldareleavingbecauseitisadifficultjobandtheyfeeloverworked.Perhapsthequestionisnot“Willrobotsreplaceteachers?”but“Howcanrobotshelpteachers?”O(jiān)fficeworkerscanusesoftwaretodothings.31Ifrobotscouldcutthetimeteachersspendmarkinghomeworkandwritingreports,teacherswouldhavemoretimeandenergyforthepartsofthejobhumansdobest.A．Teacherscanbereplacedbyrobots.B．Arobotteacherisbetterthannoteacheratall.C．Teacherswastealotoftimedoingnonteachingwork.D．Hepredictsrobotswilldothemainjoboftransferringinformation.E．Couldtherebeaplaceforrobotsineducationafterall?F．Robotscansavetimethatteachersspendinteachinginclassroom.G．Insomecases,theyalreadyperformbetterthandoctorsatdiagnosing(診斷)illness.（四）UseBodyLanguagetoBuildTrustBodylanguagecanhelppeopleseeyouasmoretrustworthy,resultinginstrongerrelationshipsathome,workandschool.Althoughsomegesturesvaryacrosscultures,there’recertainbasicbodylanguagegestures.Keepeyecontactwhensomeoneistalking.32Soputyourphonedownandlistenwithyoureyes.Buildingstrongerhumantiesmakesiteasiertotrustpeopleandknowmoreaboutthem.Uncrossyourarmsandlegs.33However,thatwillcloseyouoff.You’reunknowinglymunicatingsomethingnegativebecauseyou’vepositionedyourbodyinawaythatblocksanybasisforbuildingtrust.34Thus,you’lllookmoreopentohearingothers’thoughts.35Sittingbehindadeskcreatesanotherobstaclethatcouldmakethepersonyou’retalkingtoputhisorherownwallsup.AccordingtoProfessorCarlaChamberlinQuinlisk,sittingatatablewithherstudentsencouragesthemtobemorevocalduringclass.Sotrythesmartwaytogetyourbosstotrustyou.Limityourownnotetaking.Sometimesnotesarenecessarywhenyou’retalkingtoacoworker,butmakesureallthatdoesn’tgetinthewayofyoureyecontact.Ifyou’reconstantlywritingdownwhattheotherpersonsays,thatpersoncouldstartfeelingselfconscious.What’smore,takingnotesmakestheotherpersonfeelunfortable.36A．Don’tsitbehindadesk.B．Makesureyourbodylooksopen.C．Nodandsmilewhilesomeoneistalking.D．Youmightonlybecrossingyourarmsandlegsbecauseyou’recold.E．Itwillhelpbuildtrustbecauseitshowsrealinterest.F．Andtheymayquestionlike“Whyaretheywritingthatdown?”G．Unfortunately,mostpeoplehavenotrainingonhowtoreadbodylanguage.三、完形填空（一）InLasVegas,oneparent’sdeterminationtohelphisdaughtercatchuponherreadinghasledtothecreationofagroundbreakingapproachineducationaltechnology.MeetDaveVinzant,fatherto8yearoldAubrie,who37difficultiesinreadingatschool.“Itwasabouthalfwaythroughthefirstgradethatwerealizedshecouldn’t38,”saidVinzant.Despitetheirefforts,39methodsweren’tbringingaboutthedesiredresults.“The40levelwasreallyhigh,”Vinzantrecalled.“Afteranhouroftryingtogetthrougha1015pagelittlebook,shewas41.”Determinedtofindasolution,Vinzanttookmattersintohisownhands.Although42abackgroundinputerprogramming,hemadeuphismindtodevelopatoolthatcouldeffectively43hisdaughter.Theresult?Afree44calledWordStumble.WordStumbleisn’t45anyreadingappPoweredbyartificialintelligence,specificallyChatGPT,theprogramcustomizes(定制)storiesforeachuser.“Whatis46isthatitcantakeallofthosewordsthatsheknowsorstruggleswithandit47acustomizedchildren’sstory,”Vinzantexplained.ForVinzant,thesuccessofWordStumbleisn’tjust48;hewantstosharewithothers.Withhisdedicationandinnovation,Vinzantisnotonlychangingthelandscapeofreadingappsbutalsogiving49tocountlessparentsandchildrenfacingsimilarchallenges.AndasWordStumblecontinuesto50,it’sclearthatthepowerofoneperson’spassioncanmakeaworldof51foryounglearnerseverywhere.37．A．dealtwith B．raninto C．gotthrough D．broughtabout38．A．smile B．read C．respond D．jog39．A．scientific B．a(chǎn)lternative C．creative D．traditional40．A．surprise B．regret C．frustration D．pleasure41．A．crying B．joking C．dancing D．singing42．A．providing B．ensuring C．lacking D．requiring43．A．persuade B．a(chǎn)ssist C．a(chǎn)muse D．rescue44．A．brochure B．textbook C．a(chǎn)dvertisement D．a(chǎn)pplication45．A．still B．a(chǎn)lso C．even D．simply46．A．familiar B．magical C．reasonable D．strange47．A．returns B．remembers C．spreads D．recalls48．A．initial B．popular C．personal D．convenient49．A．courage B．determination C．hope D．imagination50．A．improve B．survive C．transform D．perform51．A．instruction B．task C．memory D．difference（二）Sarkarisananotechnologist(納米技術(shù)專家)andassistantprofessoratMIT.Sheisconductingherresearchonbraindiseasesthat52themindsofmillionsofpeopleworldwide.BorninKolkata,India,Sarkarcreditsbothofherparentsasearly53.Hercourageasaresearcheresfromher54,whoasayoungwomanwentagainstsocialnorms(常態(tài))inhervillageby55tofundherowneducation.Meanwhile,Sarkar’sfather56herinterestinengineering.Sarkarrecallsherfatherfindingtimeforhis57,fashioningdevicestomakehomelifemore58,includinganelectricityfreewashingmachine.“Thatgotmevery59inscienceandtechnology.”Sarkarsays.After60abachelor’sdegreeinelectricalengineeringfromtheIndianInstituteofTechnologyDhanbad,Sarkar61Californiatostudynanoclectronics.There,shetestednewwaysto62nanodevicesthatcouldreducetheamountof63consumedbyputersandothereverydayelectronics.64,shemadeabreakthroughbydevelopingastandoutnanodevice.Alongtheway,Sarkarbecamefascinatedwiththe65,whichshecalls“thelowestenergyputer”.Shehopestoputnanodevicesbetweenhumanneurons(神經(jīng)細(xì)胞)toimprovetheputingspeedoftheprocessorinourbrains.“Ourbrainsare66,butwecouldbebetterthanwhatweare.”shesays.52．A．enrich B．read C．a(chǎn)ffect D．poison53．A．birds B．researchers C．failures D．inspirations54．A．a(chǎn)unt B．mother C．sister D．grandmother55．A．working B．pretending C．refusing D．waiting56．A．protected B．switched C．stimulated D．supported57．A．job B．holiday C．disfort D．passion58．A．plex B．convenient C．peaceful D．meaningful59．A．interested B．honest C．lucky D．disappointed60．A．starting B．carning C．needing D．introducing61．A．a(chǎn)daptedto B．relatedto C．headedto D．belongedto62．A．create B．fix C．operate D．sell63．A．water B．money C．power D．time64．A．Unfortunately B．Immediately C．Obviously D．Eventually65．A．puter B．brain C．exercise D．fashion66．A．empty B．busy C．relaxed D．remarkable（三）Meghanafirstfoundherpassioninmiddleschoolwhenshesuccessfullycreatedwaterfilters(過濾器)tohelpIndianfamiliesstrugglingwithwaterborne(水傳播的)illnesses.She67theopportunitytobeabletohelppeopleandimprovetheirlife.Eversinceshewasinmiddleschool,Meghanahasbeenquiteinterestedin68research.Herfirstinventionswerewaterfilters,whichshewasinspiredto69afterhearingaboutruralmunities70thewaterborneillnesses.Herlatestinvention,electrodes(電極)forsupercapacitors(超級(jí)電容器),isalso71toenvironmentalscienceandispartofherinterestinthefield.The72,filledwithtrialanderror,hasn’tbeen73.Throughtenmonthsofresearch,Meghanawasabletocreateanelectrode.Thiscreation,costinglessthan$1,wasvery74friendly.Meghanahasusedherknowledgetohelpotherswhoarealso75aboutscience.Followingthesuccessofhersciencefairprojects,manysciencestudentsconnectedwithher,wantingherhelpontheirresearchprojects.Soon,lotsof76cameseekinghelp,andMeghanacouldn’t77allofthem.78,Meghanastillwantedtohelpasmanypeopleaspossible.She79aScienceFairWorkshopSeriesprogramatherhighschool.Notonlydoestheprogramhelpencouragestudentsinterestedinsciencetoparticipateinsciencefairprojects,italsohelpsformapositivemunitywherestudentscanaskoneanotherquestions.Bringingtheprogramtoherschoolisjustonesteptowardsher80changingtheworldthrougheducation.Sheisconcernedabouthowdifficultitisforpeoplewhohavetrouble81educationresources.“Agoodeducationallowspeopletothinkcreatively,whicheventuallyleadstodevelopmentaroundtheworld,”saidMeghana.67．A．misunderstood B．loved C．doubted D．a(chǎn)bandoned68．A．social B．industrial C．medical D．scientific69．A．make B．require C．repair D．evaluate70．A．overlooking B．directing C．facing D．replacing71．A．related B．a(chǎn)dapted C．pared D．opposed72．A．record B．examination C．process D．a(chǎn)ppeal73．A．original B．plex C．similar D．easy74．A．chemically B．economically C．culturally D．historically75．A．nervous B．embarrassed C．upset D．curious76．A．requests B．habits C．warnings D．standards77．A．giveaway B．callon C．replyto D．dependon78．A．However B．Instead C．Otherwise D．Also79．A．envied B．bothered C．a(chǎn)pproved D．started80．A．impressionon B．mitmentto C．independenceof D．referenceto81．A．supplying B．menting C．a(chǎn)ccessing D．removing（四）Backin1930,oneeconomistpredictedthatwithtechnologicalchangeandimprovementsinproductivity,we’donlybeworking15hoursaweekbynow.Butwhileworkinghourshave82by26%,mostofusstillaverage42.5hoursaweek.Oneofthethingsheunderestimatedisthehumandesireto83withourpeers.Sowhensomepredictedthatautomationwouldcreateanextraamountof84time,needlesstosay,thatdidn’thappen.Inthe1980s,managerscoulddemandemployeesunderthe85thatjobscouldbegiventosomeoneelsethankstoputerization.The86piledon.Overworkhasbeenprovento87manydiseasesandevendeath.88wecarriedon—untilCOVID19camealong.Besidesmakingusworklongerhoursfromhome,COVID19basalso89themovetowardstheadoptionofautomatedmachine.By2050,someprofessorpredictsthatatleast40%ofcurrentjobswillbelostto90.Thereare91.Jobsthatinvolveplexsocialinteractionsarealllikelyto92theAIrevolution.Asarejobsthatrelyoncreativity.Thesamealsogoesfor93jobs,duetothelargenumberofdifferentobjectsandthevarietyofwaysthoseobjectsneedtobecleaned.Also,robotsareunlikelyto94inthe“work”oftakingcareofchildren,preparinglunchboxes,etc.Thosewhoseworkfallsoutsidethecaring,cleaningorcreativefieldwillstillworkinfuture,just95.Inabout60%ofoccupations,athirdofthetaskscanbeautomated,meaningchangestothewaywework.Onestudyhaspredictedthatoverthenext20years,7.2millionnewjobswillbe96asaresult.Sowewillworkinfuture:wejustdon’tknowwhatwe’llbedoingyet.82．A．declined B．increased C．continued D．kept83．A．disagree B．pete C．cooperate D．identify84．A．working B．tough C．leisure D．a(chǎn)ctive85．A．fantasy B．influence C．threat D．impression86．A．joy B．cash C．a(chǎn)mbition D．pressure87．A．a(chǎn)ttendto B．leadto C．a(chǎn)ppealto D．a(chǎn)ddto88．A．Otherwise B．Still C．Furthermore D．Therefore89．A．speededup B．followedup C．preparedfor D．plannedfor90．A．overwork B．labour C．a(chǎn)utomation D．science91．A．dreams B．models C．expectations D．exceptions92．A．cause B．cease C．survive D．undergo93．A．caring B．cleaning