영어 모의고사 (자동 편성)

Bacteria have been cutting up invading viral DNA for billions of years, long before any scientist ①thought to borrow the trick for use in a laboratory. The CRISPR-Cas9 system, as it is now known, relies on a short guide RNA that matches a specific DNA sequence, ②lead a scissor-like enzyme called Cas9 directly to that exact location in the genome. Once Cas9 arrives at the target site, it slices both strands of the DNA helix, and the cell's own repair machinery rushes in ③to mend the cut, often introducing a small change in the process. By supplying the cell with a template during this repair step, scientists can direct that machinery ④to insert a specific new sequence rather than merely disabling the original gene. What once required years of painstaking work to alter a single gene can now, with a properly designed guide RNA, ⑤be accomplished within days, a shift in speed that has reshaped nearly every corner of biological research.

Blockchain technology was originally promoted as a way ①to remove the need for trusted middlemen, allowing strangers to exchange value directly and verify transactions through a shared, tamper-resistant ledger rather than through a bank or government agency. In theory, this design ②distributes power away from any single institution and toward the network as a whole. In practice, however, a small number of large players have come to dominate many blockchain networks, ③controlled enough computing power or currency to influence outcomes that were supposed to be decided collectively. Critics note a further irony: when something goes wrong, there is often no institution left ④to appeal to, since the entire system was designed precisely to eliminate that kind of central authority. Whether decentralization can survive this concentration of power ⑤remains one of the technology's most unresolved questions.

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.

Philosophers often pair the classic trolley problem with a companion case designed to test whether our moral intuitions are actually ①consistent. Imagine a brilliant surgeon who has five patients, each dying from the failure of a different organ, and one healthy visitor in the waiting room whose organs happen to be a perfect ②match for all five. If the surgeon secretly killed the healthy visitor and transplanted the organs, five lives would be saved at the cost of one, exactly the same arithmetic used to justify diverting a runaway trolley onto a track with a single worker. Yet almost everyone who accepts the trolley diversion ③recoils immediately at the idea of the surgeon cutting up an unwilling patient, even though the numbers are identical in both cases. Philosophers use this contrast to argue that outcomes alone can ④fully explain our moral judgments, since something about directly using a person's body as a mere means appears to matter deeply to most people's sense of ⑤right and wrong.

Philosophers sometimes ask their students to imagine a creature physically identical to an ordinary human being in every measurable respect, one that walks, talks, laughs, and even cries out in apparent pain when injured, yet that has no inner conscious experience whatsoever. This imagined being, commonly called a philosophical zombie, behaves exactly as a conscious person would, since every neuron fires in precisely the same pattern. Defenders of the argument claim that because such a zombie is at least conceivable without any logical contradiction, consciousness itself cannot be fully explained by physical processes alone. Critics respond that _______________.

For decades, most vaccines worked by injecting a weakened or inactivated version of a pathogen, coaxing the immune system into recognizing an enemy it had never fought. mRNA vaccines take a different route, delivering a short genetic instruction wrapped in a protective lipid capsule, one that tells the body's own cells how to manufacture a harmless piece of a virus's outer surface protein. Once those cells display the fragment, the immune system learns to recognize it as foreign 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, _______________. This speed, first proven on a global scale during a recent pandemic, has convinced many researchers that the same platform could eventually be adapted to fight diseases far beyond infectious illness.

For patients born with a single faulty gene, the disease has traditionally been treated indirectly, managing symptoms for a lifetime rather than addressing the genetic error itself. (A) Early trials were haunted by serious setbacks, including cases in which the delivery virus triggered a dangerous immune reaction, but refined delivery methods have since made the treatment considerably safer, leading regulators in several countries to approve gene therapies for a small but growing number of rare inherited disorders. (B) Gene therapy attempts something more ambitious: delivering a corrected copy of the gene directly into a patient's cells, often using a disabled virus stripped of its ability to cause illness as a delivery vehicle. (C) Once inside the nucleus, the corrected gene can begin producing the protein the patient's body had always lacked, in some cases reversing symptoms that medication alone had never been able to touch.

Psychologists studying human judgment often describe the mind as operating through two distinct systems rather than a single unified process. (A) This efficiency comes at a cost, however, because System 1's shortcuts can produce systematic errors that an overburdened System 2 rarely catches. (B) Most daily decisions are therefore handled almost entirely by System 1, which allows people to function efficiently without exhausting their limited mental resources. (C) System 1 works quickly and automatically, generating impressions without any noticeable effort, while System 2 is slow and deliberate, engaged only when a problem requires careful reasoning.

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. (A) 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, though the central challenge remains doing so reliably outside a controlled laboratory. (B) 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. (C) 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.

This reveals an uncomfortable truth about the underlying business model itself. Social media platforms rarely show users a neutral stream of information. ( ① ) Instead, recommendation algorithms are optimized to maximize engagement, and content that provokes strong emotion tends to hold attention longer than balanced reporting ever could. ( ② ) Researchers describe this as a distorted mirror: the platform reflects not society as it truly is, but a version shaped by whatever keeps people scrolling. ( ③ ) Some platforms have experimented with reducing the visibility of outrage-driven content. ( ④ ) Yet these experiments consistently saw user engagement drop. ( ⑤ )