영어 모의고사 (자동 편성)

Anyone who has ridden a bicycle after a decade away from one has likely ① experiencing muscle memory firsthand: the body seems to recall a complex skill almost instantly, even when conscious memory of the exact movements has faded. Contrary to what the name suggests, muscles themselves do not actually store memories; the phenomenon originates in the brain and nervous system, where repeated practice gradually ② shifts control of a well-learned movement from regions associated with conscious thought to areas that operate largely automatically. This shift explains why a skilled athlete can ③ execute a complicated sequence of movements without consciously thinking through each individual step, freeing mental attention for strategy and decision-making instead. Interestingly, research also suggests that these neural pathways can remain partially intact even after long periods without practice, which is why relearning a skill is typically much ④ faster than learning it for the very first time. Coaches often exploit this principle by ⑤ ensuring that fundamental techniques are practiced correctly from the very beginning.

Planning a multi-city trip once meant hours ① spent comparing flight schedules, reading hotel reviews, and mapping out which sights were close enough to visit in a single day. AI travel planners now compress much of that work into a short conversation, ② asking about a budget, a travel style, and a handful of preferences before generating a full day-by-day itinerary within minutes. The tool draws on enormous amounts of data, including flight prices, seasonal weather patterns, and reviews ③ leaving by previous travelers, to suggest a route that avoids obvious scheduling conflicts. Many travelers appreciate ④ having a solid starting point rather than a blank page. Still, seasoned travelers warn that these itineraries can feel oddly generic, often ⑤ steering users toward the same popular landmarks.

Fast fashion refers to cheap, trendy clothing ①**produced** quickly and replaced almost as fast as it is bought. Because these garments are ②**designed** to be worn only a few times, huge amounts of fabric end up in landfills every year, and the dyeing process pollutes rivers near factories. In contrast, a growing number of brands are turning toward the circular economy, an economic model in which materials are ③**reused**, repaired, or recycled instead of being thrown away after a single use. For example, some companies collect old clothes, break down the fibers, and weave them into new fabric, while others let customers ④**to rent** outfits for special occasions rather than buying garments they will barely wear. These approaches keep resources ⑤**circulating** within the system longer, reducing demand for raw materials. Therefore, shifting from a throwaway habit toward a circular one may be essential for making the fashion industry sustainable.

Many companies now advertise themselves as environmentally responsible, yet a growing number of these claims turn out to be ①misleading. This practice, known as greenwashing, occurs when a business spends more effort marketing its products as eco-friendly than actually reducing environmental harm. A company might launch a recycled-packaging line while continuing to pollute rivers through its main factories, creating a false impression of genuine change. Such tactics ②deceive well-intentioned consumers who wish to shop responsibly but lack the tools to ③verify corporate claims. In contrast, truly sustainable businesses publish detailed, independently verified data about their emissions and supply chains, allowing outsiders to check their progress. Therefore, shoppers should look beyond vague labels like green or natural and instead search for ④recognized certifications, transparent reports, and measurable targets. Without such scrutiny, greenwashing will keep ⑤declining, undermining public trust and slowing the broader shift toward an economy that truly protects the planet.

In the days leading up to an endurance event, many athletes deliberately ① increase their carbohydrate intake while reducing training volume, a practice known as carbohydrate loading. The strategy is designed to ② maximize the amount of glycogen, the storage form of carbohydrate, packed into muscle tissue before competition begins. Sports nutritionists caution, however, that the timing and composition of meals matter as much as the total quantity of carbohydrate consumed, since eating ③ familiar foods immediately before competition can cause digestive discomfort. Athletes are therefore advised to ④ practice their nutrition strategy during training rather than experimenting with it for the first time on race day. Beyond carbohydrates, adequate protein and micronutrient intake throughout the training cycle remains ⑤ essential, since fueling strategy is only one part of a much larger nutritional picture.

During sleep, the brain does not simply rest; it actively reorganizes the day's experiences into lasting memories through a process called consolidation. Newly formed memories are initially ① fragile and stored primarily in a brain region called the hippocampus, which has ② unlimited long-term capacity. While a person sleeps, particularly during the deep stages of non-REM sleep, neural activity replays these fresh memory traces in rapid, compressed sequences, gradually transferring the information to the cortex for more ③ durable, long-term storage. This replay strengthens the connections between neurons that encoded the original experience, making the memory more ④ resistant to interference from unrelated events the following day. Sleep researchers have demonstrated this effect experimentally: participants who slept after learning a list of word pairs recalled more items the next day than participants who remained awake instead. Crucially, the benefit was not limited to simple recall; sleep also seemed to help participants ⑤ extract general patterns from the material, suggesting that consolidation involves more than passive storage.

Wearable devices that track sleep have become enormously popular, promising a detailed breakdown of light, deep, and REM sleep each night. These gadgets typically rely on movement sensors and heart rate monitors to estimate sleep stages, since directly measuring brain activity would require equipment found only in a sleep laboratory. This indirect approach, however, introduces significant uncertainty. Independent studies comparing wearable data with polysomnography, the gold-standard method used in clinical sleep labs, have found that _______________. Some trackers overestimate deep sleep, while others underestimate the amount of time spent in REM sleep, and the margin of error can vary widely between brands. Despite these limitations, many users have come to treat the nightly score generated by their device as an objective medical verdict, sometimes experiencing anxiety when the number falls below what they expect, a phenomenon researchers have begun calling orthosomnia.

A navigation app calculating a route rarely relies on distance alone; instead, it constantly weighs real-time traffic reports, past congestion patterns, and even data from other drivers' phones currently on the road. (A) Residents of these once-quiet neighborhoods have increasingly complained about the sudden surge of unfamiliar traffic, arguing that the algorithm can end up creating a new problem for the wider community. (B) The convenience comes at a cost that few passengers consider, however, since redirecting thousands of drivers onto the same shortcut can make a quiet side street as congested as the highway it was meant to help travelers avoid. (C) This flood of information allows the app to reroute a driver away from a sudden accident within seconds, often before the driver has any idea the accident occurred at all.

The answer, it turns out, has less to do with raw talent than with the invisible bonds that connect teammates to one another. Team sports place athletes in a uniquely social form of competition, one where individual skill alone rarely determines the outcome of a match. ( ① ) Sports psychologists have long studied why some groups of talented individual players fail to perform as a cohesive unit while other, less individually skilled teams consistently exceed expectations. ( ② ) Trust among teammates appears to be a decisive factor, since players who believe their teammates will reliably fulfill their roles are more willing to take the calculated risks that winning often requires, such as passing to an open player instead of attempting a low-percentage shot alone. ( ③ ) Clear and consistent communication during high-pressure moments further reduces the hesitation and confusion that can unravel a team's coordination in front of a crowd. ( ④ ) Interestingly, researchers have found that teams which deliberately build informal social bonds off the field, not merely through structured practice, tend to display better on-field cohesion. ( ⑤ )

Critics counter that this framing can understate the risk, since even a first draft ultimately shapes everything that follows it. 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. ( ① ) 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. ( ② ) A film composer might use an AI system to generate a rough melody, then rework it entirely by hand until it fits the emotional tone of a specific scene. ( ③ ) What makes this collaboration work, according to many creators, is that the human remains firmly in charge of judgment and taste. ( ④ ) The AI's output, in this view, is treated as raw material rather than a finished product. ( ⑤ )