[天一大联考]高三2026届高考全真模拟卷(五)5英语(新高考)答案

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leaves. By adding traditional designs from the Miao, Tujia, and Dong ethnic groups , she produced artthat exhibits a unique aesthetic appeal of traditional embroidery with contemporary craftsmanship ( I艺). Yang notes that typically, only those with decades of embroidery experience can independentlycomplete the entire leaf-embroidery process, which is fewer than 20 people in Tongren from 2011 to now.Two years later, Yang opened an embroidery processing factory and offered jobs to more than 500laid-off female workers , rural women, and people with disabilities. “Guizhou is a province with a largenumber of ethnic groups and has a long history of ethnic embroidery skills ," she says. “I will keep doingthe leaf-vein embroidery for the rest of my life because it is meaningful.24. What inspired Yang Li to create leaf-vein embroidery?A. Her love for Miao embroidery.B. The discovery of a special leaf.C. An accidental injury to her hand.D. A decrease in her shop's earnings25. What is the biggest challenge for Yang Li?A. Softening the leaves.B. Exposing veins of leaves.C. Collecting suitable leaves.D. Making leaves more flexible.26. What do we know about Yang Li's leaf-vein embroidery?A. It is demanding for cooperation between craftswomen.B. It is a unique combination of artistic elementsC. It is well-received by international consumers.D. It is costly to complete a single piece.27. Which of the following words can best describe Yang Li?A. Creative and devoted.B. Ambitious and cautious.C. Passionate and humorous.D. Optimistic and considerate.CThree scientists, David Baker from the University of Washington, Demis Hassabis of Google'sLondon-based DeepMind, and John M. Jumper, a top DeepMind researcher, won the 2024 Nobel Prizein Chemistry. They developed methods to predict protein structures and create new ones.The Nobel Committee for Chemistry said that the ability to build new proteins could lead to thediscovery of new drugs and vaccines ( 疫苗). It could also help scientists develop extremely smallmaterials, called nanomaterials, and small sensors. Heiner Linke, Chair of the Nobel Committee forChemistry, said, “That was actually a grand challenge in chemistry, and in particular biochemistry formany years.Baker originated a novel type of protein in 2003. Since then, his research group has producednumerous diverse proteins. As Professor Johan Aqvist of the Nobel Committee put it, “You can almostconstruct any type of protein now with this technology. " Hassabis and Jumper created AlphaFold2, anAI model able to predict the structure of nearly all identified proteins.Proteins are essential for life. Linke said understanding their shape is crucial to understanding lifeLinke said that in 2020, Hassabis and Jumper were able to use AI methods to finally “ crack the code（破译密码) ". That made it possible to predict the complex structure of “any known protein in nature”.Researchers should be able to use it to better understand how organisms develop resistance toantibiotics. They might also be able to create images of chemical substances called enzymes (酶) thatcan break down plastic. The committee said Baker had developed “ computational tools" that enablescientists to design new proteins with new shapes and functions." The breakthroughs made by Demis and John on protein structure prediction really highlighted to usthe power that AI could have," Baker said. “That led us to apply these AI methods to protein design,which has greatly increased the power and accuracy.三一轮复周测卷二十一英语第4页（共8页）

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