영어 모의고사 (자동 편성)

Imagine a teleportation device that scans every atom in your body, transmits that information to a distant station, and ①reconstructs an exact physical duplicate there, while destroying the original body in the process. From the traveler's point of view, stepping into the machine and stepping out on the other side would feel utterly seamless, complete with continuous memories and a sense of ②having simply walk through a door. Philosophers, however, are troubled by a version of the same device that malfunctions: instead of destroying the original, it leaves the original body intact while still ③creating a perfect duplicate elsewhere. Now two people exist, each with identical memories and an equally strong claim ④to being the original traveler, and there is no principled way to say that one of them is the real continuation of the person who entered the machine. This malfunction reveals that memory and psychological continuity alone cannot fully ⑤settle what personal identity actually requires.

As cities have expanded across landscapes once covered with absorbent soil, impervious surfaces have turned stormwater from a resource that ①recharges groundwater into a hazard that floods streets and carries pollutants into waterways. Green infrastructure, which ②mimic the hydrological functions that natural landscapes once performed, offers planners a way to treat the city as a sponge rather than a rigid drainage pipe. Rain gardens, shallow depressions planted with deep-rooted vegetation, are designed to capture runoff from rooftops, ③allowing it to filter slowly through soil before reaching underground aquifers. Permeable pavement, made of porous materials ④that let water pass directly through, serves a similar purpose along sidewalks, where asphalt would remain impenetrable. For example, cities that replaced pavement with permeable alternatives have reported notable reductions in flooding during storms that once overwhelmed sewers. However, engineers caution that green infrastructure cannot entirely replace conventional pipes in dense cores, where heavy runoff still ⑤requires structural reinforcement. Consequently, municipalities now regard green and gray infrastructure as complementary systems, each compensating for the other's limitations.

A printer that once produced only plastic prototypes can now ①deposit living cells layer by layer to build a structure that begins to resemble actual tissue. Bioprinting adapts the logic of conventional 3D printing, ②replacing plastic filament with a specialized ink made of living cells suspended in a gel that supports their survival while the shape sets. Printing a flat patch of skin or a simple blood vessel has already moved from laboratory curiosity to early clinical testing, since these tissues ③is thin enough for nutrients to reach every cell by diffusion. Printing a solid organ such as a kidney remains a far greater challenge, because internal cells starve without their own blood supply, and no printer yet exists that can build a network of vessels fast enough ④to keep them alive. Researchers are therefore focusing on hybrid strategies, printing a rough scaffold and then ⑤allowing the tissue to mature and grow its own vasculature over time.

Facing a shortage of caregivers and a rapidly aging population, several countries have begun ①deploying robots designed to remind elderly residents to take medication, monitor for falls, and even offer simple conversation throughout the day. Early trials show that many residents report ②reduced loneliness, particularly when a robot's presence allows an overworked human staff member to spend a few extra minutes with each patient rather than ③rushing between rooms. Critics, however, worry that this framing quietly shifts the goal of care: instead of asking how technology can support human connection, institutions may come to treat a robot's companionship as an acceptable substitute for it, especially in facilities already ④struggle with tight budgets. Advocates for the elderly argue that robots should be evaluated strictly as tools that free up human time for human contact, never as a lower-cost replacement for the contact itself, which ⑤remains irreplaceable.

For decades, memory researchers assumed that repetition alone determined how well information would be retained, an assumption that an influential theory proposed by Craik and Lockhart eventually overturned. According to their framework, what matters most is not how many times a person rehearses material but how deeply that material is processed during encoding. ①Shallow processing, which involves attending merely to superficial features such as the shape of letters or the sound of a word, produces memory traces that fade quickly and remain ②vulnerable to interference. Elaborative processing, by contrast, requires connecting new information to existing knowledge, generating meaningful associations, and analyzing semantic content, thereby producing traces that are considerably more ③fragile. Consequently, a student who merely repeats a definition aloud without considering its implications is less likely to retain it than one who relates the concept to a personal example. This distinction reshaped educational practice, encouraging teachers to design tasks that demand ④comprehension rather than ⑤mechanical repetition, since durable memory depends on the depth, not the frequency, of cognitive engagement.

Classical economic models typically assume that people discount future rewards at a constant rate, valuing a reward received later somewhat less than an identical reward received now, but doing so ①consistently across all time horizons. Empirical observation, however, reveals a different pattern: people apply a much ②steeper discount to the immediate future than to the distant future. When the reward or cost in question lies safely in the future, its emotional weight remains ③vivid, allowing rational long-term goals to dominate one's stated intentions. Once that same reward or cost draws near, however, its immediacy triggers a disproportionately strong emotional pull, frequently ④overriding the very plans made earlier with such apparent confidence. This dynamic helps explain chronic procrastination, since tasks that carry long-term benefits are perpetually ⑤deferred in favor of activities offering more immediate satisfaction.

A biosensor works by pairing a biological component, such as an enzyme or antibody, with an electronic device that converts a biological reaction into a signal a computer can ①read. When the target molecule, whether glucose in blood or a trace of a pathogen, binds to the biological component, it triggers a ②massive measurable change that the device translates into a readable number. This design has already transformed diabetes management, letting patients monitor blood sugar ③continuously through a small sensor worn under the skin rather than pricking a finger several times a day. Engineers are now racing to extend the same principle to detect subtler targets, from cancer cells circulating in the bloodstream to trace ④contaminants in drinking water. The central challenge is not detecting the target but doing so reliably outside a controlled laboratory, since a sensor that performs well on a clean lab bench can behave ⑤erratically once exposed to a real body or a real river.

When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for ①decades. If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed to ②minimize total harm, even if that means steering toward the person inside? Surveys reveal an uncomfortable ③contradiction: most people say a car should be programmed to save the greater number of lives, yet the same people admit they would never buy a vehicle designed to sacrifice its own owner. This gap between the ideal and the personal choice suggests that ethical programming cannot be settled by public opinion alone. Manufacturers, regulators, and philosophers must instead agree on ④transparent rules before autonomous vehicles are ⑤forbidden to make such decisions on the road.

As solar and wind power expand rapidly across national grids, engineers face a challenge that receives far less public attention than the construction of the generating facilities themselves. (A) One proposed solution involves large-scale battery storage systems, which absorb surplus electricity generated during periods of high output and release it later when generation declines. Another approach relies on expanding transmission networks across wider regions, so that electricity generated in a sunny area can be redirected to places experiencing a shortfall. (B) Unlike conventional power plants, which can adjust their output to match demand at almost any moment, solar panels and wind turbines generate electricity only when sunlight or wind is available, producing supply that fluctuates constantly. This intermittency means that grid operators must balance supply and demand even when renewable output suddenly drops, such as when clouds cover a solar farm or wind speeds fall. (C) Grid operators must therefore invest in infrastructure capable of accommodating this variability, rather than assuming renewable sources can simply replace fossil fuels without adjustment. Without such investment, integrating renewable energy could paradoxically undermine the very reliability that modern electricity grids are expected to provide.

Long before humans learned to drill for oil, microorganisms had already mastered the art of converting sunlight and carbon dioxide into stored chemical energy. (A) Modern biofuel research borrows this ability, cultivating algae or engineered bacteria in large tanks where they can be coaxed into producing oils and sugars that can be refined into fuel usable in existing engines. (B) Unlike crops grown for corn-based ethanol, which compete directly with food production for arable land, many algae strains can thrive in shallow ponds, wastewater, or even coastal seawater unsuitable for conventional agriculture. (C) Engineers have also learned to boost oil yield through genetic tinkering, yet producing biofuel at a cost competitive with fossil fuel remains difficult, since harvesting and processing the organisms consumes a substantial share of the energy the fuel itself will eventually provide.