全国100所名校最新高考冲刺卷英语2023届Y1

2023-11-08 11:30:31 87℃

全国100所名校最新高考冲刺卷英语2023届Y1正在持续更新，目前全国100所名校单元测试示范卷答案网为大家整理了相关试题及答案，供大家查缺补漏，高效提升成绩。

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Lastly,each person is inevitably subjective about his or her experience.Despite humansbeing very similar to each other in DNA,our view on reality is very different from individual toindividual.The soul of a person is challenging to prove scientifically.However,with each person'spersonality being unique,the behavioral quality of thinking of the self beyond age,and ourinevitable subjective experience,we can say that the soul has some basis in science.Theserealities of our behavior,character,and perception might not be tested,but they are very difficultto deny.24.The author tells the story of Lonni Sue to showA.the chance for the mentally ill to form new memoriesB.strange behaviors of mentally ill patientsC.the stability of people's personalityD.the changes of the people who suffered brain damage25.What does the underlined word"essence"in Paragraph 2 probably mean?A.Past memory.B.Changeable belief.C.Important nature.D.Optimistic attitude.26.What can we learn from the passage?A.Our body,mind and emotions tell who we are.B.Our soul depends on our personality,consciousness and experience.C.Scientific research has already proved what makes up our soul.D.The soul of a person changes as he or she grows old.27.Which is the best title for this passage?A.Beyond identityB.Beyond memoryC.Beyond ageD.Beyond natureYou can tell a lot about people's general state of mind based on their social media feeds.Arethey always tweeting about their biggest annoyances or posting pictures of particularly cutekitties?In a similar fashion,researchers are turning to Twitter for clues about the overallhappiness of entire geographic communities.What they're finding is that regional variation in the use of common phrases producespredictions that don't always reflect the local state of well being.But removing from theiranalyses just three specific terms--good,love and LOL-greatly improves the accuracy of themethods."We're living in a crazy COVID-19 era.And now more than ever,we're using social mediato adapt to a new normal and reach out to the friends and family that we can't meet face-to-face."Kokil Jaidka studies computational linguistics at the National University of Singapore."But ourwords aren't useful just to understand what we,as individuals,think and feel.They're also usefulclues about the community we live in."One of the simpler methods that many scientists use to analyze the data involves correlatingwords with positive or negative emotions.But when those records are compared with phonesurveys that assess regional well-being,Jaidka says,they don't paint an accurate picture of thelocal zeitgeist(时代精神).Being able to get an accurate read on the mood of the population is no laughing matter."That's particularly important now,in the time of COVID,where we're expecting a mental healthcrisis and we're already seeing in survey data the largest decrease in subjective well-being in 10years at least,if not ever."To find out why,Jaidka and her team analyzed billions of tweets from around the UnitedStates.And they found that among the most frequently used terms on Twitter are LOL,love andgood.And they actually throw the analysis off.Why the disconnect?"Internet language is really a different beast than regular spoken language.We've adaptedwords from the English vocabulary to mean different things in different situations.says Jaidka"Take,for example,LOL.I've tweeted the word LOL to express irony,annoyance and sometimesjust pure surprise.When the methods for measuring LOL as a marker of happiness were createdin the 1990s,it still meant laughing out loud.""There are plenty of terms that are less misleading,"says Jaidka."Our models tell us thatwords like excited,fun,great,opportunity,interesting,fantastic and those are better words formeasuring subjective well-being.28.The researchers turn to social media feeds toA.make the prediction method more effectiveB.locate the most-frequently used wordsC.prove the disconnect between language and emotions3

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