영어 모의고사 (자동 편성)

Athletes preparing for major endurance events sometimes ① trains for weeks at high altitude, where the air contains less oxygen than at sea level, in hopes of gaining a physiological edge once they return to compete at lower elevations. In this thin air, the body responds by producing more red blood cells, ② which carry oxygen more efficiently through the bloodstream to working muscles. When these athletes return to sea level, where oxygen is more abundant, their blood ③ retains this elevated capacity for a limited period, potentially translating into improved endurance performance. However, the benefits of altitude training are far from guaranteed, since individual athletes respond quite differently to the same conditions, and some experience excessive fatigue that ④ undermines the very training they hoped to complete. Many elite programs therefore follow a strategy known as live high, train low, in which athletes sleep at altitude to stimulate blood adaptations but perform intense workouts at lower elevation ⑤ to maintain quality and intensity.

On a summer evening, downtown streets often ①feel noticeably hotter than nearby parks or suburban neighborhoods, even after the sun has set. This phenomenon, known as the urban heat island effect, occurs when cities retain more heat than surrounding rural areas because of their dense concentration of asphalt, concrete, and buildings. Unlike soil or vegetation, which absorb and release heat gradually, these man-made surfaces absorb sunlight during the day and slowly ②radiates it back at night, preventing temperatures from cooling. Tall buildings ③packed closely together also block wind, trapping warm air within narrow streets. In contrast, areas with abundant trees and open water naturally ④stay cooler, since plants release moisture that helps lower surrounding temperatures. To reduce this effect, many cities have begun installing rooftop gardens and expanding public parks, ⑤hoping that additional greenery will absorb less heat than pavement does.

Across many countries, high schools ① begins classes early in the morning, often before eight o'clock. This schedule assumes that teenagers can simply go to bed earlier to compensate, but biology tells a different story. During adolescence, the body's internal clock shifts later, ② delaying the release of melatonin until well after ten at night. As a result, most teenagers are not physiologically ready to fall asleep until much later than younger children or adults. When early start times force them ③ to wake before their bodies have completed a full sleep cycle, the mismatch accumulates into a chronic sleep debt ④ that affects concentration and mood throughout the school day. Researchers who study this mismatch argue that the underlying problem is not laziness or poor discipline among students, but a scheduling system ⑤ built around adult rhythms rather than adolescent ones.

Carbon neutrality refers to a state in which the amount of greenhouse gases a country or company releases into the atmosphere ①<u>is balanced</u> by the amount it removes, resulting in zero net emissions. Achieving this goal typically requires several sequential stages rather than a single sudden action. First, organizations attempt to reduce emissions directly ②<u>by replacing</u> fossil fuels with renewable energy sources such as solar or wind power. Next, they improve efficiency throughout their operations, ③<u>minimizing</u> the energy wasted during production and transportation. Only after these direct measures have been maximized do most organizations turn to offsetting, ④<u>which involve</u> funding projects like reforestation or carbon capture to compensate for emissions that cannot yet be eliminated. Critics argue, however, that some companies exploit offsetting too early, ⑤<u>using it to avoid making</u> genuine reductions. Therefore, experts insist that a credible roadmap must always prioritize actual emission cuts before relying on compensation.

Until last spring, Minji ①**rarely** thought twice about tossing a paper cup into the trash after finishing her coffee. Environmental issues seemed ②**distant**, something scientists and politicians should handle rather than an ordinary student like her. That changed when her class was assigned a documentary about plastic waste drifting through the ocean, footage she initially expected to find boring. Instead, watching seabirds mistake plastic fragments for food left her strangely ③**comforted**, and she found herself thinking about the assignment long after class ended. The next morning, almost without deciding to, she slipped her old tumbler into her backpack instead of buying a disposable cup on the way to school. It felt like a small, ④**meaningless** gesture at first. However, as weeks passed, she realized that consistently choosing the tumbler, declining a plastic straw, and reusing a shopping bag were quietly ⑤**adding up**. Small choices, she discovered, become meaningful once repeated.

Rather than replacing human creativity outright, many artists, writers, and filmmakers have begun treating AI tools as an unusual kind of collaborator, one that generates dozens of rough options in the time it would take a person to sketch just one. A novelist might ask an AI model for ten possible opening lines and then discard nine, keeping only the phrase that sparks an idea worth developing further. What makes this collaboration work, according to many creators, is that _______________. Critics counter that this framing can understate the risk, since even a first draft ultimately shapes everything that follows it.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results. Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word. This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably smooth. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, so that _______________. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result.

주어진 문장: In short, Fogg's model reminds us that ease of action, not sheer willpower, drives lasting behavior change. Many people believe that building a new habit requires strong willpower or motivation. ( ① ) However, psychologist BJ Fogg argues that habits form more easily when a behavior itself becomes simple to perform. ( ② ) His theory, called the Fogg Behavior Model, states that a behavior happens only when motivation, ability, and a prompt occur together. When motivation is low, the task must be made extremely easy, or it will not happen at all. ( ③ ) For instance, a person who wants to exercise daily succeeds more often by committing to one push-up than to a long workout. Fogg calls this idea the law of least effort, since people naturally choose the option requiring the least energy. ( ④ ) A student who wants to read more might leave a book open on the desk rather than setting a vague goal. By lowering the required effort, people reduce the ability barrier and make steady action far more achievable. ( ⑤ )

Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. Open a music streaming app on any given morning, and a personalized playlist is usually already waiting, assembled overnight from songs the algorithm predicts will match a listener's current mood. ( ① ) This prediction relies on far more than genre alone; the system studies skip rates, replay counts, and even the time of day a song is typically played to build a remarkably detailed profile of individual taste. ( ② ) Listeners often praise the feature for introducing them to artists they never would have searched for on their own, effectively acting as a tireless music scout working around the clock. ( ③ ) A song that the algorithm decides not to promote may struggle to reach listeners no matter how well it was written. ( ④ ) This means that an artist's success can depend as much on pleasing an algorithm as on pleasing an actual audience. ( ⑤ )

This gap remains even after accounting for factors such as study habits, motivation, and overall intelligence. Researchers who study teenagers have found a strong link between how well students sleep and how well they perform in school. ( ① ) Students who sleep fewer than seven hours a night tend to score lower on tests of memory and attention than those who sleep eight or nine hours, even when the two groups study for the same number of hours. ( ② ) One explanation is that sleep plays an active role in learning: during certain stages of sleep, the brain replays and strengthens information encountered during the day, converting fragile short-term memories into more durable long-term ones. ( ③ ) When sleep is cut short, this consolidation process is interrupted before it can finish, so material that seemed well understood the night before often feels unfamiliar the next morning. ( ④ ) For this reason, some schools have begun rethinking early start times, reasoning that an extra hour of sleep might do more for test scores than an extra hour of studying ever could. ( ⑤ )