영어 모의고사 (자동 편성)

Sensors buried in the soil now report moisture levels in real time, drones survey entire fields for signs of disease within minutes, and automated systems adjust irrigation without a farmer ever ①walking the rows. For large operations with the capital ②to invest, these tools have measurably increased yields while reducing water waste, addressing two problems that traditional farming has struggled with for generations. Smaller family farms, however, often cannot afford the upfront cost of this equipment, and some worry that the gap between high-tech and traditional operations will only ③widen as the technology advances further. There is also a quieter cultural cost that rarely appears in productivity reports: generations of farming knowledge, passed down through direct observation of soil, weather, and crops, risk ④being replaced by dashboards and automated alerts that few young farmers ⑤teaching to question.

Political philosophers have long ①debated how much authority, if any, a government may legitimately claim over free individuals. Robert Nozick imagined a hypothetical starting point in which people live without any state at all, each relying on private arrangements to protect their own person and property. He argued that a minimal state, limited strictly to enforcing contracts and protecting citizens from violence, theft, and fraud, could arise gradually through a series of voluntary exchanges, with everyone's rights ②repeatedly being violated along the way. Critics on one side, the anarchists, insist that even this minimal government inevitably ③violates the rights of those who never consented to join it, since a truly voluntary arrangement would allow individuals to ④opt out entirely. Critics on the other side argue that a state limited to bare protection cannot address deeper inequalities that arise naturally in any free market. Nozick's thought experiment therefore sits at the center of an ⑤unresolved argument about where legitimate political authority actually begins.

When an oil tanker ruptures and crude spreads across open water, cleanup crews increasingly reach not only for skimmers and floating booms but also for something far smaller: bacteria that ①eat oil. Certain naturally occurring microbes possess enzymes capable of breaking hydrocarbon molecules apart, using the carbon as an energy source and ②rapidly converting a toxic slick into carbon dioxide and harmless byproducts. Bioremediation, as this approach is called, works far more slowly than mechanical cleanup, often taking months rather than days, but it can reach contamination trapped in soil or sediment that skimmers and booms can never reach. Scientists have learned to ③accelerate the process by adding nutrients that help native microbial populations multiply faster, or in some cases by introducing engineered strains selected specifically for their appetite for a particular pollutant. Because the method relies on living organisms rather than heavy machinery, it also tends to leave a far ④gentler footprint on the surrounding ecosystem than excavation or chemical treatment ⑤ever could.

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 multiply 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 effective. _______________. Researchers are therefore searching in unconventional 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 precision no broad-spectrum drug could ever match.

Blockchain technology was originally promoted as a way to remove the need for trusted middlemen. In theory, this design distributes power away from any single institution and toward the network as a whole. In practice, however, _______________, controlling enough computing power or currency to influence outcomes that were supposed to be decided collectively. Whether decentralization can survive this concentration of power remains one of the technology's most unresolved questions.

As private companies develop the technology to mine asteroids for rare metals and water, a legal question has become urgent: who owns the resources of outer space? Existing international treaties state that no nation may claim sovereignty over celestial bodies, but they say remarkably little about whether a private company may extract and sell what it finds there. Some governments have already passed domestic laws granting their own companies rights to material mined in space, a move that other nations view as _______________.

Eyewitness testimony has long carried weight in courtrooms, yet decades of research reveal that memories of witnessed events are more malleable than most people assume. (A) When individuals who observe an event are later exposed to misleading information about what they saw, whether through a leading question or a conversation with another witness, their recollections frequently incorporate details that never occurred, a phenomenon known as the misinformation effect. (B) Crucially, these distorted memories often feel genuine to the person experiencing them, since the original memory trace becomes blended with the newly introduced information rather than existing as a separate, contradictory record. Such findings have prompted legal systems to adopt cautious interviewing protocols designed to minimize suggestive questioning during investigations. (C) In one classic paradigm, participants who watched a video of a traffic accident and were then asked how fast the cars were going when they smashed into each other reported higher speed estimates and were more likely to falsely recall broken glass than participants asked the identical question using the milder verb hit.

Social proof does not operate uniformly; its influence intensifies under specific conditions. (A) It grows especially powerful, for instance, when the situation is ambiguous and individuals lack a clear, independent basis for judging the correct course of action. (B) Conversely, when a task offers unambiguous, verifiable evidence, individuals rely far less on the behavior of others, since they can evaluate the situation directly for themselves. (C) This contrast implies that social proof functions primarily as a substitute for missing information, stepping in precisely where individual certainty runs out.

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

Fairness, in other words, is not a feature that can simply be patched in once a problem is discovered. Many large companies now rely on artificial intelligence to screen job applications before a human ever sees them. ( ① ) These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns drawn from previous hiring decisions. ( ② ) However, this reliance on historical data creates a troubling risk. ( ③ ) 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 intended discrimination. ( ④ ) Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias difficult to detect until an outside audit reveals it. ( ⑤ ) Some researchers argue that fairness cannot be added afterward; it must be built into the system's design from the very beginning.