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.

When a country physician named Edward Jenner noticed that milkmaids ①who had caught cowpox seemed immune to smallpox, he set in motion a medical revolution without fully understanding why it worked. For nearly two centuries afterward, vaccine development proceeded largely by trial and error, ②weakened or killing a pathogen and testing whether the resulting preparation could train the immune system without causing disease itself. This method produced genuine successes, eventually eliminating smallpox worldwide and reducing diseases such as polio and measles, but each new vaccine still ③required years of laboratory work with no guarantee of success. Advances in molecular biology eventually allowed researchers ④to isolate a single protein from a pathogen's surface rather than using the whole organism, producing vaccines with fewer side effects and a more predictable safety profile. The most recent shift, toward delivering genetic instructions rather than proteins themselves, represents the latest chapter in a story ⑤that began with an eighteenth-century doctor's curiosity about a puzzling immunity among dairy workers.

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.

Many large companies now rely on artificial intelligence ①to screen job applications before a human ever sees them. These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns ②drawn from previous hiring decisions. However, this reliance on historical data creates a troubling risk. If a company's past hiring favored a particular group, the algorithm may learn to treat that pattern as a marker of success and quietly reproduce it, even when no one ③intending discrimination. Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias difficult ④to detect until an outside audit reveals it. Some researchers argue that fairness cannot be added afterward; it must ⑤be built into the system's design from the very beginning.

Every time an antibiotic kills off a population of bacteria, a handful of cells carrying a random mutation that resists the drug are left behind to ①multiply without competition. Repeated over decades, across hospitals, farms, and households worldwide, this simple process of natural selection has produced strains of bacteria that survive treatments once considered reliably ②effective. The pharmaceutical industry, meanwhile, has slowed the pace at which new antibiotics reach the market, since a drug meant to be taken for only a week or two rarely earns back the ③enormous cost of developing it. Researchers are therefore searching in ④unconventional places, screening soil microbes, ocean sediment, and even genetic databases for molecules that kill bacteria through mechanisms resistant strains have not yet learned to evade. Some scientists have also revived an older approach, using viruses that infect only bacteria to hunt down resistant strains with a ⑤carelessness no broad-spectrum drug could ever match.

A plastic bag that fully decomposes within months rather than lingering for centuries sounds almost too convenient to be real, yet certain bioplastics on the market ①rarely do that under the right conditions. Unlike conventional plastic, derived almost entirely from petroleum, many bioplastics are synthesized from renewable feedstocks such as corn starch or sugarcane, sometimes with the help of bacteria engineered to produce plastic-like polymers as a ②byproduct of their metabolism. Not every bioplastic biodegrades quickly, however, and some marketed as eco-friendly break down only in industrial composting facilities that reach conditions ③rarely found in a backyard compost heap or the open ocean. Critics point out that growing crops for bioplastic production can compete with food crops for farmland and water, complicating the assumption that a biological origin automatically makes a material more ④sustainable. Researchers are now exploring bioplastics made from agricultural waste and algae instead of dedicated crops, hoping to sidestep this competition for land while preserving the ⑤benefits that first made bioplastics appealing.

This finding is particularly striking given that the two groups of employees faced no difference whatsoever in the financial terms of the plan itself. Employers have long experimented with how retirement savings plans are presented to new hires. ( ① ) In one common arrangement, employees receive a form and must actively check a box to begin contributing a portion of their salary to a savings account. ( ② ) Under this opt-in arrangement, a substantial share of eligible employees never get around to enrolling, often citing simple procrastination rather than genuine disinterest in saving. ( ③ ) When employers instead enroll employees automatically and require them to check a box only if they wish to withdraw, participation rates climb to well over ninety percent. ( ④ ) Only the framing of the choice, not its economic substance, appears to determine whether employees end up saving for retirement. ( ⑤ ) This gap between the two arrangements reveals just how powerfully a default setting can shape decisions that people generally regard as carefully considered.

That freedom, however, comes with an important caveat about what these structures can and cannot tell us. A cluster of neurons smaller than a pea can now spontaneously organize itself into layered structures that mimic, in miniature, the architecture of a developing human brain. ( ① ) Grown from stem cells coaxed to follow the same developmental cues that guide an embryo, these brain organoids have begun firing electrical signals in patterns that faintly resemble the activity recorded in an infant's brain. ( ② ) For researchers studying disorders such as autism or schizophrenia, this offers something long unavailable: a living model of human brain development that can be observed and manipulated directly. ( ③ ) This can happen without ever touching an actual patient. ( ④ ) Because organoids lack sensory organs, a body, or any connection to the outside world, most neuroscientists argue that the structures cannot generate anything resembling subjective experience, however brain-like their electrical activity may appear. ( ⑤ ) Even so, the pace at which these organoids are growing more complex has convinced some ethicists that the field would benefit from establishing clear boundaries now, before the science outruns the conversation about what it means.

주어진 문장: In other words, the coin cannot somehow sense that it owes the observer a tails after so many heads. Imagine watching a fair coin land on heads five times in a row and feeling an increasingly strong intuition that the next flip is somehow due to produce tails. ( ① ) This intuition, though psychologically compelling, rests on a basic misunderstanding of probability, since each flip of a fair coin remains entirely independent of every flip that came before it. ( ② ) The coin possesses no memory of its previous outcomes, and its probability of landing on tails on the sixth flip stays fixed at fifty percent regardless of how many heads preceded it. ( ③ ) Casinos have long profited from this misconception, watching gamblers place larger bets after a losing streak simply because they mistakenly believe that a win has become statistically overdue. ( ④ ) Economists have even documented the same error among trained professionals, including loan officers who grow more likely to approve a risky application simply because they recently rejected several applications in a row. ( ⑤ )