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severalgroupnumber,thenwithb±a,=c,cisismethylbtwoverticalboxbetweenofaccuratesize.Per-2~3measurement,suchasproceedsofcvaluesareequalandequaltothedesignvalue,thentheverticalinstallationaccurate.Forexamplea,b,andcvalueswhileonhorizontalverticalerrorsformeasurement,Generalinironanglecodebitatmeasurementlevelpointsgriderrors,specificmethodisfrombaselinetomethylverticalboxcenterlinedistancefora,,tobverticalboxdistanceforb,listcanmeasured
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severalgroupnumber,thenwithb±a,=c,cisismethylbtwoverticalboxbetweenofaccuratesize.Per-2~3measurement,suchasproceedsofcvaluesareequalandequaltothedesignvalue,thentheverticalinstallationaccurate.Forexamplea,b,andcvalueswhileonhorizontalverticalerrorsformeasurement,Generalinironanglecodebitatmeasurementlevelpointsgriderrors,specificmethodisfrombaselinetomethylverticalboxcenterlinedistancefora,,tobverticalboxdistanceforb,listcanmeasured
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Sectiona…
UseofEnglish
Itiswidelyknownthatbirdslearntoflythroughpractice,gradually
(1)
theirinnateabilityintoafinelytunedskill.
(2)
,arecentstudyconductedbytheUniversityofSheffield'sDepartmentofPsychologyhasdiscoveredthatthereasonbirdslearntoflysoeasilyisbecausememoriesmayhavebeenleftbehindbytheirancestors.Theseskillsmaybeeasytoenhancebecauseofa
(3)
specifiedlatent
(4)
forflying.
Theresearchersusedsimplemodelsofbrainscalled
(5)
neuralnetworksandputer
(6)
totesthistheory.Theydiscoveredthatlearningin
(7)
generations
(8)
inducestheformationofalatentmemoryinthecurrentgenerationand
(9)
decreasestheamountoflearningrequired.Theseeffectsareespeciallypronouncedifthereisalargebiological"fitnesscost"tolearning,wherebiologicalfitnessismeasuredintermsofthenumberof
(10)
eachindividualhas.
Thebeneficialeffectsoflearningalso
(11)
theunusualformofinformationstorageinneuralnetworks.
(12)
puters,whichstoreeachitemofinformationinaspecificlocationintheputer'smemorychip,neuralnetworksstoreeachitem
(13)
overmanyneuronalconnections.
(14)
informationisstoredinthiswaythen
(15)
isaccelerated,explaininghowplexmotorskills,suchasnestbuildingandhuntingskills,are
(16)
byabinationofinnateabilityandlearningovermanygenerations.
Theresearchersconcludedthatthisnewtheoryhasits
(17)
inideas
(18)
byJamesBaldwinin1896,whofirstlymadethecounter-intuitiveargumentthatlearningwithineachgenerationcouldguideevolutionofinnatebehavioroverfuturegenerations.Baldwinwasright,
(19)
inwayslesssophisticatedthanhecouldhaveimaginedbecauseconcepts
(20)
artificialneuralnetworksanddistributedrepresentationswerenotknowninhistime.
1?€?A.adjusting
B.refining
C.changing
D.turning
2?€?A.Indeed
B.Hence
C.Whereas
D.However
3?€?A.genetically
B.cognitively
C.habitually
D.extrinsically
4?€?A.storage
B.organ
C.memory
D.function
5?€?A.affected
B.artificial
C.fake
D.unrealistic
6?€?A.dominations
B.manipulations
C.operations
D.simulations
7?€?A.previous
B.former
C.preceding
D.ancient
8?€?A.entirely
B.accordingly
C.obviously
D.indirectly
9?€?A.resultin
B.therefore
C.so
D.nevertheless
10?€?A.partners
B.alternatives
C.offspring
D.parents
11?€?A.dependon
B.decide
C.affect
D.involve
12?€?A.For
B.Alike
C.Unlike
D.Within
13?€?A.delivered
B.distributed
C.displayed
D.disposed
14?€?A.As
B.Given
C.If
D.Considering
15?€?A.ability
B.update
C.renovation
D.evolution
16?€?A.learned
B.acknowledged
C.attained
D.acquired
17?€?A.roots
B.resources
C.bases
D.reflections
18?€?A.supported
B.proposed
C.objected
D.started
19?€?A.and
B.then
C.but
D.besides
20?€?A.asfor
B.inparticular
C.suchas
D.forinstance
Doyouwakeupeverydayfeelingtootired,orevenupset"Ifso,thenanewalarmclockcouldbejustforyou.
Theclock,calledSleepSmart,measuresyoursleepcycle,andwaits
(1)
youtobeinyourlightestphaseofsleep
(2)
rousingyou.Itsmakerssaythatshould
(3)
youwakeupfeelingrefreshedeverymorning.
Asyousleepyoupass
(4)
asequenceofsleepstatesa€〞lightsleep,deepsleepandREM(rapideyemovement)sleepa€〞that
(5)
approximatelyevery90minutes.Thepointinthatcycleatwhichyouwakecan
(6)
howyoufeellater,andmay
(7)
haveagreaterimpactthanhowmuchorlittleyouhaveslept.Beingrousedduringalightphase
(8)
youaremorelikelytowakeupenergetic.
SleepSmart
(9)
thedistinctpatternofbrainwaves
(10)
duringeachphaseofsleep,viaaheadbandequipped
(11)
electrodesandamicroprocessor.Thismeasurestheelectricalactivityofthewearer'sbrain,inmuchthe
(12)
wayassomemachinesusedformedicalandresearch
(13)
,andmunicateswirelesslywithaclockunitnearthebed.You
(14)
theclockwiththelatesttimeat
(15)
youwanttobewakened,andit
(16)
dulywakesyouduringthelastlightsleepphasebeforethat.
The
(17)
wasinventedbyagroupofstudentsatBrownUniversityinRhodeIsland
(18)
afriendplainedofwakinguptiredandperformingpoorlyonatest."
(19)
sleep-deprivedpeopleourselves,westartedthinkingof
(20)
todoaboutit,"saysEricShashoua,arecentcollegegraduateandnowchiefexecutiveofficerofAxonSleepResearchLaboratories,apanycreatedbythestudentstodeveloptheiridea.
1?€?A.beside
B.near
C.for
D.around
2?€?A.upon
B.before
C.towards
D.till
3?€?A.ensure
B.assure
C.require
D.request
4?€?A.through
B.into
C.about
D.on
5?€?A.reveals
B.reverses
C.resumes
D.repeats
6?€?A.effect
B.affect
C.reflect
D.perfect
7?€?A.already
B.ever
C.never
D.even
8?€?A.means
B.marks
C.says
D.dictates
9?€?A.removes
B.relieves
C.records
D.recalls
10?€?A.proceeded
B.produced
C.pronounced
D.progressed
11?€?A.by
B.of
C.with
D.over
12?€?A.familiar
B.similar
C.identical
D.same
13?€?A.findings
B.prospects
C.proposals
D.purposes
14?€?A.prompt
B.program
C.plug
D.plan
15?€?A.where
B.this
C.which
D.that
16?€?A.then
B.also
C.almost
D.yet
17?€?A.claim
B.conclusion
C.concept
D.explanation
18?€?A.once
B.after
C.since
D.while
19?€?A.Besides
B.Despite
C.To
D.As
20?€?A.what
B.how
C.whether
D.when
?-〞???:
Sectiona…
UseofEnglish
1?€?B
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2?€?D
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3?€?A
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4?€?C
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5?€?B
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7?€?A
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8?€?D
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9?€?B
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11?€?A
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a€????????€????èˉ?èˉ-?????…?-〞???选A???dependon?€?Bé?1??¨é€?è?‘????’??-£????-〞?????????????????|????–?????€?
12?€?C
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13?€?B
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14?€?C
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15?€?D
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·???????€??€??‰€??¥选D???evolution?€?
16?€?D
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17?€?A
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18?€?B
[è§£???]è€???¥??¨èˉ?è?¨????€????é¢????è§£é¢??o??′¢??¨??o????¤??????????èˉ-?????¥???whofirstmadethecounter-intuitiveargument...èˉ¥??¥??-???first?????o????¤o???Baldwin??€?????ˉ?????oè????aè§???1????oo?€??????a选é?1??-?????a??‰Bé?1??|????–?????€?
19?€?C
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20?€?C
[è§£???]è€???¥??-èˉ-è?¨????€?è€??〞??o〞èˉ¥?3¨?????°concepts?’?artificialneuralnetworksanddistributedrepresentations?1?é—′??ˉ??…??μ????¤–???????…3?3??€??〞±?-¤??ˉ??¥C???suchas??o?-£????-〞????€?asfora€?è?3?o?????…3?o?a€????inparticular?€?a€??°¤?…?????‰1???a€????forinstancea€?????|?????ˉ〞?|?a€??€?
1?€?C
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2?€?B
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3?€?A
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4?€?A
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5?€?D
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?€’a€????resume?????oa€?(??-?–-???)é???–°??€?§??????¢?¤?a€????????????|???é¢?????€?
6?€?B
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