영어 모의고사 (자동 편성)

Traditional industrial systems have relied on a linear model of production, in which raw materials ①are extracted, transformed into goods, and eventually discarded as waste. This approach treats natural resources as if unlimited and disposal as if costless. A circular economy proposes an alternative framework in which materials ②is kept in continuous use through reuse, repair, and recycling, thereby reducing the extraction of virgin resources. Central to this model is the notion that waste, rather than ③being an inevitable byproduct, can be redesigned as a resource for another process, much as fallen leaves nourish the trees that shed them. For example, manufacturers design products so that components can be disassembled and ④reused in new items once their original function ends. Some companies also lease equipment instead of selling it outright, ⑤retaining responsibility for refurbishment.

When people evaluate their personal contribution to water scarcity, they often consider only the water that flows directly from household taps, overlooking a far larger quantity consumed indirectly through the goods they purchase. The water footprint, a concept that extends this ①broad view, measures the total volume of freshwater used to produce the goods and services an individual or a nation consumes. Central to this concept is the notion of virtual water, the water embedded ②invisibly within a product, from irrigating cotton fields to livestock raised for meat. For instance, producing a kilogram of beef can require several thousand liters of water, whereas a kilogram of vegetables typically demands a fraction of that amount. Nations that import water-intensive goods rather than producing them domestically are importing virtual water from regions that may face ③severe shortages. Critics caution, however, that focusing ④exclusively on aggregate volume can mislead policymakers, since a liter of water drawn from a region suffering drought carries far greater consequences than one drawn from a water-⑤abundant area.

Imagine rewriting a bacterium's code the way a programmer edits a line of software, and much of what synthetic biology ①promises begins to make sense. Researchers in this field assemble standardized genetic parts into circuits that can be inserted into a cell, instructing it to perform a task that no natural organism would ②carry out. Because these circuits are built from interchangeable parts rather than designed from scratch each time, a circuit tested in one lab can often be reused, with ③minor adjustments, in an entirely different application. Critics note that biological systems ④always behave as predictably as electronic circuits, since a gene inserted into a new cell can interact with existing pathways in unexpected ways, occasionally producing results no engineer intended. Even so, as the catalog of standardized parts keeps expanding, engineers are gaining ⑤confidence to design increasingly complex systems.

Among the many strategies proposed to remove carbon dioxide from the atmosphere, one of the oldest draws on an agricultural technique predating modern industry, converting organic material into a ①stable form of charcoal known as biochar. Biochar is produced through pyrolysis, a process in which crop residues or wood chips are heated in an environment with little or no oxygen, preventing the material from burning away as in an open fire. This process leaves behind a carbon-rich solid that ②accelerates decomposition far longer than raw organic matter, locking carbon in a form remaining stable in soil for centuries. When mixed into farmland, biochar also improves soil structure, retaining moisture and nutrients otherwise lost, which can ③boost crop yields in depleted soils. For example, farmers cultivating nutrient-poor tropical soils have reported ④measurable increases in productivity after adding biochar. Nevertheless, researchers caution that the climate benefits of biochar depend on the feedstock and method used, since poorly managed pyrolysis can release as much carbon as it sequesters, ⑤undermining its own purpose.

Generative AI systems learn to write, draw, and compose by studying ①enormous collections of existing human work, much of which was created without the artists' knowledge or consent. Supporters of the technology argue that this process resembles how a human student learns by studying the masters, ②absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③holds up perfectly at scale, since a single AI model can absorb millions of works in days. Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as ④infringement. Until clearer rules emerge, artists, developers, and publishers remain locked in a legal ⑤gray zone that satisfies almost no one.

For decades, most vaccines worked by injecting a ①weakened or inactivated version of a pathogen, coaxing the immune system into recognizing an enemy it had never truly fought. mRNA vaccines take a fundamentally ②different route, delivering only a short genetic instruction wrapped in a protective lipid capsule, one that tells the body's own cells how to manufacture a single harmless piece of a virus's outer surface protein. Once those cells display the fragment, the immune system learns to recognize it as ③foreign and builds a defense, without ever having encountered the actual pathogen. Because the vaccine contains no live virus and cannot alter a cell's own DNA, developers can ④redesign the genetic instructions within weeks whenever a pathogen mutates, rather than starting the years-long process required for traditional vaccines. This speed has convinced many researchers that the same platform could eventually be adapted to fight diseases far beyond infectious illness, ⑤excluding certain cancers.

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. When the target molecule binds to the biological component, it triggers a small measurable change that the device translates into a readable number. 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. 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. _______________.

The ecological footprint, a widely cited measure of how much biologically productive land and water a population requires to sustain its consumption, has become one of the most familiar tools for communicating humanity's environmental impact. By converting diverse activities, from driving to eating meat, into a single unit of land area, the measure allows policymakers to grasp whether a lifestyle exceeds what the planet can regenerate. This simplicity, however, is also the source of its most persistent criticism. Because the footprint aggregates dissimilar impacts, such as carbon emissions and water scarcity, into one composite figure, _______________. A region might reduce its footprint by lowering carbon emissions while simultaneously depleting a local aquifer, yet the aggregate number could still appear to improve, concealing damage that demands urgent attention. Furthermore, the method assumes that all bio-productive land is roughly interchangeable, treating a hectare of forest as equivalent to a hectare of farmland, even though the two provide markedly different ecological functions.

Imagine two travelers preparing for the same trip: one refuses to fly after watching news coverage of a recent plane crash, while the other books a flight without hesitation. (A) This tendency, in which people estimate how likely an event is based on how easily examples come to mind rather than on actual data, quietly shapes countless everyday decisions. (B) Statistically, air travel remains far safer than driving the same distance by car, yet vivid, emotionally charged images tend to dominate human judgment more powerfully than dry statistics ever could. (C) News broadcasts that repeatedly feature rare disasters can leave viewers convinced that such events are common, even though official records clearly show the opposite. Advertisers and politicians alike exploit this pattern, knowing that a single striking anecdote often persuades audiences more effectively than pages of careful statistics ever manage to. Recognizing why memorable examples overshadow objective probability therefore matters, both for making sound personal choices and for noticing when public fear has drifted far from measurable reality.

The software company, in turn, may argue that no algorithm can be expected to be perfect. Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. ( ① ) When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes difficult to assign. ( ② ) The doctor may argue that they simply trusted a tool the hospital required them to use. ( ③ ) The hospital, meanwhile, may argue that the software company guaranteed its accuracy. ( ④ ) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable. ( ⑤ )