영어 모의고사 (자동 편성)

After an especially demanding training session, the instinct to collapse onto a couch and remain motionless is understandable, yet exercise physiologists increasingly ① recommend the opposite approach. Active recovery involves ② to perform low-intensity movement, such as a light jog, an easy swim, or a gentle bike ride, on days following intense exertion rather than resting completely. This gentle activity keeps blood circulating through tired muscles, which ③ appears to help clear metabolic byproducts that accumulate during hard exercise more efficiently than complete stillness does. Some athletes worry that any movement at all will interfere with the repair process, but research suggests that truly light activity ④ does not meaningfully slow healing and may even reduce the perceived soreness that follows a hard session. The key distinction lies entirely in intensity: active recovery is not a second workout in disguise but a deliberately gentle session ⑤ designed to support, rather than compete with, the body's underlying repair mechanisms.

Browsing an online store today often means ① chatting with an AI assistant that asks a few quick questions, such as budget or intended use, before suggesting a short list of products tailored to the answers. Unlike a static list of best-sellers, this assistant can adjust its suggestions on the spot, ② responding to follow-up questions the way a knowledgeable salesperson might in a physical store. Retailers report that shoppers ③ who use these chatbots tend to complete purchases more often and return fewer items, since the guided conversation helps buyers choose products that actually fit their needs. Some shoppers, however, remain wary of how personal the questions can feel, ④ wonder how much of that conversation is quietly stored and reused to influence future purchases. Consumer advocates argue that stores should clearly explain what happens to this data, rather than ⑤ burying the explanation in a lengthy privacy policy.

Before making a purchase, most online shoppers now read reviews written by previous customers rather than relying solely on advertisements. These reviews, posted by people who have no financial connection to the seller, often seem more ①trustworthy than promotional claims. Research shows that products with a large number of positive reviews sell significantly ②more than those with few or no reviews at all. However, fake reviews written by paid writers or even automated programs have become a serious problem, ③undermining consumer trust. Platforms that fail to detect these fraudulent posts risk ④gaining credibility with their users, who expect authentic opinions when making decisions. Ultimately, the power of online reviews depends entirely on their perceived ⑤honesty.

These platforms allow individuals to sell clothing, electronics, and furniture directly to other consumers, cutting out traditional retail markups entirely. For younger buyers especially, purchasing secondhand items has become associated with ①resourcefulness rather than financial necessity. However, buying secondhand carries certain ②risks, since items cannot always be inspected closely before purchase, and some sellers misrepresent the condition of their products. To address this problem, many platforms now offer buyer protection programs and ③vague rating systems for sellers. As ④trust in these systems continues to grow, secondhand trading is expected to ⑤expand even further in the coming years.

A documentary director named Mira first traveled to a remote Arctic glacier to film its towering cliffs of blue ice, which seemed frozen in time. Standing before the ①<u>massive</u> wall, she assumed such an enormous structure could hardly change within a lifetime. Five years later, however, she returned to the very same coordinates, expecting her camera to capture an identical scene. Instead, she discovered that the glacier had ②<u>retreated</u> so dramatically that the ice cliffs, once visible from her original position, had nearly ③<u>disappeared</u>, leaving bare rock and pools of meltwater behind. Comparing the two sets of footage side by side, Mira realized that a transformation she had expected to take centuries was actually happening within a single decade. This encounter convinced her that climate change, which she had previously regarded as a ⑤<u>distant</u> statistic, was in fact a ④<u>trivial</u> process reshaping landscapes before her eyes.

Rather than displaying products in the usual manner, the team designed the space to resemble a colorful garden, inviting visitors to explore and take photographs. Lines formed outside the store within days, even though the products themselves were already available online. Curious about this success, a marketing researcher later interviewed several visitors, who explained that the temporary nature of the event made the experience feel special and worth attending in person. When the two weeks ended, the brand reported a significant ①decrease in both sales and social media followers. ②Encouraged by these results, the company ③began planning ④additional pop-up events in ⑤other cities.

Behavioral economists use the term status quo bias to describe a tendency to prefer the present situation over a new alternative, even when the alternative would bring greater benefits. This bias helps explain why many households hesitate to switch to renewable energy, such as installing solar panels on their roofs. Although solar panels can lower electricity bills over time, homeowners often stick with their current power source because it feels safe and requires no immediate effort. In contrast, switching demands research, upfront cost, and trust in unfamiliar technology, all of which can seem risky compared with doing nothing. For example, a neighborhood association might repeatedly postpone a vote on shared solar panels, not because the plan is flawed, but because members are reluctant to leave their routine. Therefore, boosting renewable adoption may depend less on proving its advantages and more on _______________.

Because this feedback loop relies entirely on light rather than on the clock on the wall, melatonin release can shift dramatically when a person travels across time zones or works through the night. Melatonin is a hormone produced by a small gland deep within the brain, and its release follows a remarkably predictable daily pattern. ( ① ) Levels stay low throughout the bright hours of the day, begin rising in the evening as darkness falls, peak in the middle of the night, and then decline again as morning approaches. ( ② ) This rhythm is controlled primarily by light: specialized cells in the eye detect brightness and send signals that either permit or suppress melatonin production, which is why exposure to bright screens late at night can delay its release and make falling asleep more difficult. ( ③ ) Unlike some hormones that directly cause the body to perform a task, melatonin does not force sleep to occur; instead, it signals to the rest of the body that night has arrived, preparing various systems to shift into a lower-energy state. ( ④ ) Because of this signaling role, taking melatonin supplements at the wrong time can shift a person's internal clock in the opposite direction from what was intended. ( ⑤ )

A joke that depends on wordplay in one language, for example, may become confusing or even meaningless once it is translated literally into another. Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. ( ① ) Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word. ( ② ) This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably smooth. ( ③ ) Frequent travelers now point their phone cameras at street signs and receive an instant translation overlaid on the screen. ( ④ ) Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas where a single wrong word can completely change the intended meaning. ( ⑤ ) For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result.

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