영어 모의고사 (자동 편성)

Insomnia is rarely caused by a single factor; it usually emerges from an interaction between psychological stress and physiological arousal that ①keeps the body from settling into sleep. A common trigger is what researchers call cognitive hyperarousal, in which the mind continues ②to racing with worries about work, relationships, or even the inability to sleep itself, creating a frustrating cycle where anxiety about insomnia becomes a cause of insomnia. At the same time, the body's stress response system can become chronically activated, ③releasing hormones such as cortisol that keep heart rate and body temperature elevated at night, both of which interfere with the natural drop in arousal needed to fall asleep. Poor sleep habits, including irregular bedtimes and excessive screen use before bed, can further ④weaken the body's internal signals for sleep onset. Because these psychological and physiological factors reinforce one another, effective treatment for chronic insomnia addresses both the racing mind and the underlying pattern of physical tension, rather than ⑤relying on medication alone.

Three-dimensional printing technology is changing how products are designed and manufactured across many industries. Unlike traditional manufacturing, ①which often requires expensive molds and long production times, 3D printers can create complex objects directly from digital files within hours. This flexibility allows companies ②to produce small batches of customized products without the massive costs typically associated with mass production. Hospitals now use 3D printing to create prosthetic limbs ③tailored precisely to individual patients, while automakers use it to build lightweight parts that reduce vehicle weight. Small businesses, too, have benefited enormously, since the technology ④lower the barrier to entry for entrepreneurs. As printing materials improve and machines become faster, the technology is expected ⑤to play an increasingly central role in future manufacturing.

As millions of people now earn income through delivery apps and ride-hailing platforms, questions about their legal status ①have become increasingly urgent. Most platform workers are classified as independent contractors rather than employees, ②which means they are not entitled to minimum wage guarantees or paid sick leave. Companies favor this arrangement because it allows them ③to avoid the costs associated with hiring full employees. Worker advocates, however, argue that many platform workers ④depend on these jobs as their primary source of income. Several countries have recently begun reconsidering their labor laws, ⑤proposed new categories that would grant workers some protections.

The gig economy has grown ①rapidly over the past decade, as digital platforms connect customers directly with independent workers. This model offers clear advantages: workers can choose when and how much they work, providing valuable ②rigidity that traditional employment rarely allows. However, gig workers often ③lack benefits such as health insurance and paid leave, which full-time employees typically receive. Because their income can ④fluctuate sharply from month to month, many gig workers struggle to plan their finances confidently. Governments therefore face growing pressure to ⑤protect independent workers through new policies.

Anyone who has ridden a bicycle after a decade away from one has likely experienced muscle memory firsthand: the body seems to ①recall a complex skill almost instantly, even when conscious memory of the exact movements has faded. Contrary to what the name suggests, muscles themselves do not actually store memories; the phenomenon originates in the brain and nervous system, where repeated practice gradually ②hides control of a well-learned movement from regions associated with conscious thought to areas that operate largely automatically. This shift explains why a skilled athlete can execute a complicated sequence of movements without consciously thinking through each individual step, ③freeing mental attention for strategy and decision-making instead. Interestingly, research also suggests that these neural pathways can remain ④partially intact even after long periods without practice, which is why relearning a skill is typically much faster than learning it for the very first time. Coaches often exploit this principle by ensuring that fundamental techniques are practiced correctly from the very ⑤beginning.

When Daniel was a child, he dreamed of becoming an astronaut, yet he assumed such careers belonged only to a handful of government scientists. During an internship, he helped design a small satellite intended to monitor crop health from orbit, a project that combined engineering with agricultural science. He realized that ___________. After graduation, Daniel joined a startup developing lunar landing equipment, a job that barely existed when he first imagined his future career.

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions have emerged about how that information should be handled. Employees who work with big data now face responsibilities that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. Regardless of which approach prevails, most experts agree that ___________. Universities have begun adding data ethics courses to computer science programs, recognizing that future employees will need to balance innovation with responsibility.

Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox, a task that would be impossible without an AI filtering system running constantly in the background. (A) This creates a constant back-and-forth, since spammers study which messages get blocked and then adjust their wording to slip through again. (B) The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on to slip past detection. (C) What makes the system effective is that it keeps learning after launch, since a user's action of marking or rescuing a message becomes new training data.

As artificial intelligence becomes more advanced, questions naturally arise about which human skills will remain irreplaceable. (A) A machine can recommend a treatment plan based on statistics, for example, but it cannot comfort a frightened patient the way a compassionate nurse can. (B) For this reason, educators are placing growing emphasis on skills such as collaboration, critical thinking, and emotional intelligence. (C) Research suggests that AI still struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations.

For decades, athletes were taught to stretch a muscle and hold the position before any competition, believing that this practice alone would prevent injury. (A) Recent research, however, has complicated that assumption, since static stretching can actually reduce a muscle's ability to generate explosive force immediately afterward. (B) Dynamic stretching, by contrast, involves controlled, repeated movement through a joint's full range of motion and appears to prepare muscles for activity without this weakening effect. (C) As a result, many coaches now recommend saving static stretching for after a workout while reserving dynamic movements for the warm-up period before intense effort begins.