영어 모의고사 (자동 편성)

A cricket contains, gram for gram, roughly as much protein as beef, yet requires a small fraction of the land, water, and feed ①needed to raise cattle. This efficiency has drawn growing attention from researchers ②looking for ways to feed a global population that continues to climb while arable land remains essentially fixed. Insects also convert feed into body mass with remarkable efficiency, since they are cold-blooded and therefore ③spend far less energy regulating body temperature than a cow or pig must. Despite these advantages, insect protein has struggled to gain acceptance in many cultures, where the idea of eating insects triggers a reflexive disgust that no nutritional argument alone seems ④able to overcome. Food companies have responded by grinding insects into a flour that disappears into protein bars, pasta, and baked goods, ⑤let consumers benefit from the nutrition without ever having to look an insect in the eye.

Philosopher Harry Frankfurt devised a scenario ①to challenge a long-held assumption about moral responsibility: that a person can be blamed for an action only if they could genuinely have done otherwise. Imagine a man named Black who secretly implants a device in another man's brain, ②ready to force a particular decision if the second man shows any sign of choosing differently. The second man, however, decides entirely on his own to perform the very action Black wanted, and the device never ③activating at all. Black's hidden mechanism made it impossible for the man ④to have chosen otherwise, yet most people still consider him fully responsible for what he freely decided to do. Frankfurt used this scenario to argue that moral responsibility depends on the actual reasoning behind a choice, not on some abstract guarantee that an alternative path ⑤remained available the entire time.

A biosensor works by pairing a biological component, such as an enzyme or antibody, with an electronic device that ①convert a biological reaction into a signal a computer can read. When the target molecule, whether glucose in blood or a trace of a pathogen, ②binds 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, ③letting 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 ④to detect subtler targets, from cancer cells circulating in the bloodstream to trace contaminants 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 erratically once ⑤exposed to a real body or a real river.

Two patients diagnosed with the same disease and prescribed the same medication can respond in strikingly different ways, one ①recovering quickly while the other experiences little benefit or even harmful side effects. Precision medicine starts from the observation that this variation often traces back to differences ②buried in each patient's genome, differences that determine how efficiently a body absorbs, breaks down, or responds to a given drug. By sequencing a patient's DNA before treatment begins, doctors can increasingly predict which medication is likely to work best and at what dose, ③replaced a strategy once described as one-size-fits-all with something closer to a tailored fit. This approach has proven especially valuable in cancer treatment, where tumors from two patients with the same diagnosis may carry entirely different genetic mutations ④that respond to entirely different drugs. Widespread adoption still faces real obstacles, since genetic sequencing remains expensive in many regions and few doctors have been trained ⑤to interpret the flood of genetic data such tests now produce.

Consider a large heap containing ten thousand grains of sand. Nearly everyone agrees that removing a single grain from such a heap ①leave another heap behind; surely one grain could never make the difference between a heap and a non-heap. Yet if this principle is applied repeatedly, grain by grain, the heap eventually shrinks to a single lonely grain, or even to no grains at all, and logic alone seems to ②force us to accept that this final result still counts as a heap. Something has clearly gone wrong along the way, since no reasonable person would ③call one grain of sand a heap, but pinpointing exactly which single removal transformed a heap into a non-heap seems ④impossible. The puzzle exposes a deep discomfort with vague terms like "heap," "tall," or "bald," concepts that seem to admit no sharp boundary yet are ⑤used confidently in everyday language.

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.

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.

Classical economic theory assumes that consumers evaluate every price change in the same rational way, weighing marginal benefit against marginal cost regardless of the absolute numbers involved. (A) In a well-known laboratory experiment, participants chose between two chocolates, one of higher quality priced at a small fee and one of lower quality offered for free. When both prices were merely reduced by the same amount, most participants still preferred the higher-quality option. Yet once the cheaper chocolate's price was lowered to zero, the majority abruptly switched their preference, even though the price gap between the two options had not actually changed. (B) Researchers explain this reversal by noting that a free item carries no perceived risk of loss, which makes it feel disproportionately attractive compared with any option that still requires payment, however small. (C) Behavioral economists, however, have discovered a striking exception: the moment a price drops to exactly zero, people's judgment shifts in a way that ordinary discounting cannot explain.

A single fertilized egg eventually gives rise to every cell type in the human body, from neurons to bone, a feat that has fascinated biologists for more than a century. (A) Because harvesting these cells traditionally required destroying a human embryo, the research provoked ethical objections fierce enough to slow funding and legislation in several countries for years. (B) A breakthrough arrived when scientists discovered that ordinary adult skin cells could be reprogrammed into a state resembling embryonic versatility without ever touching an embryo, opening a path for stem cell research that far more scientists and funding agencies are now willing to support. (C) Embryonic stem cells retain much of that original versatility, capable in principle of developing into almost any tissue, which is why researchers have long viewed them as a promising raw material for repairing damaged organs.

Left undisturbed for several days, this arrangement of fibers slowly takes on the texture that consumers associate with real meat. A hamburger patty need not come from a slaughtered animal at all if a small sample of muscle cells can be persuaded to multiply inside a steel tank. ( ① ) Cultured meat begins with a biopsy of animal muscle tissue, from which scientists isolate cells capable of dividing repeatedly, then feed those cells a nutrient broth that supplies the sugars, proteins, and minerals an animal's bloodstream would normally provide. ( ② ) Inside a bioreactor, the cells multiply across scaffolding designed to encourage them to align into fibers. ( ③ ) This gradual process thickens the tissue into something that begins to resemble muscle rather than a shapeless clump of cells. ( ④ ) Supporters argue that because the process never requires raising and slaughtering a whole animal, it could shrink the land, water, and greenhouse gas emissions associated with conventional meat production. ( ⑤ ) Skeptics counter that producing the specialized broth at a large enough scale remains prohibitively expensive, meaning cultured meat is unlikely to compete with conventional meat in price until the technology matures considerably further.