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For patients born with a single faulty gene, the disease has traditionally ①being treated indirectly, managing symptoms for a lifetime rather than addressing the genetic error itself. Gene therapy attempts something more ambitious: ②delivering 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. Once inside the nucleus, the corrected gene can begin producing the protein the patient's body ③had always lacked, in some cases reversing symptoms that medication alone had never been able to touch. Early trials were haunted by serious setbacks, including cases in which the delivery virus triggered a dangerous immune reaction or ④inserted the new gene in a location that disrupted other essential genes. Refined delivery methods have since made the treatment considerably safer, and regulators in several countries have now approved gene therapies for a small but ⑤growing number of rare inherited disorders.

Working memory refers to the mental workspace in which information ①is temporarily held and manipulated while a person performs a cognitive task. Such tasks include solving an arithmetic problem, following a rapid conversation, or holding a phone number in mind before dialing it. In the mid-twentieth century, the psychologist George Miller proposed that this workspace could accommodate roughly seven discrete items. His claim proved so influential that it ②become widely known as the magic number seven. Subsequent research, however, revealed that Miller's estimate was somewhat generous, since it failed to account for the complexity of the material ③being remembered. Nelson Cowan later argued that when rehearsal strategies ④are prevented and attention is tightly controlled, genuine capacity hovers closer to four items rather than seven. This discrepancy suggests that what earlier studies had measured was not raw storage capacity itself but a hybrid quantity ⑤inflated by clever strategies. Contemporary psychologists therefore distinguish between the fixed limit of working memory and the flexible techniques that allow individuals to transcend that limit.

German sociologist Ferdinand Tönnies distinguished between two fundamentally different forms of social organization, ①which he termed Gemeinschaft and Gesellschaft. Gemeinschaft, often ②translated as community, describes relationships bound by close kinship, shared tradition, and face-to-face familiarity, typical of small villages where individuals know one another across an entire lifetime and act according to unwritten customs. Gesellschaft, often translated as society, describes relationships organized around impersonal contracts, self-interest, and formal law, typical of large cities where interactions occur between relative strangers ③who cooperate for specific, limited purposes. Tönnies did not regard one form as simply superior to the other; rather, he saw the shift from Gemeinschaft toward Gesellschaft as a defining feature of modernization, one that brought greater efficiency and individual freedom while ④weaken the dense emotional bonds that once held communities together. Contemporary sociologists continue to debate whether digital networks represent a genuine revival of Gemeinschaft-style community or merely ⑤extend Gesellschaft's impersonal logic into new spaces.

Why do people often ①overvalue objects they have partly built themselves, even when the finished product is objectively ②inferior to something they could have simply purchased? This puzzle, which researchers named after a furniture retailer famous for selling items that require home assembly, challenges the standard economic assumption that value is determined solely by an object's inherent qualities. In a series of experiments, participants who assembled a plain storage box were willing to pay nearly as much for their own ③imperfect creation as they were for a professionally built version, despite being fully aware of its flaws. Labor, it seems, functions as a kind of psychological investment: once effort has been poured into a task, individuals become ④reluctant to judge the outcome objectively, because doing so would require admitting that their effort was partly wasted. This tendency helps explain why consumers often prefer products that demand some degree of personal assembly, even when a comparable finished item is available at a ⑤higher price and requires no time investment whatsoever.

Millions of people now wear devices that continuously track their heart rate, sleep patterns, and daily activity, generating an ①intimate stream of health data that would have been unthinkable to collect just two decades ago. Users generally assume this information belongs to them, since it is drawn directly from their own bodies. In practice, however, the terms of service that few people read often grant the manufacturer ②narrow rights to store, analyze, and even sell anonymized versions of that data to insurers or advertisers. This arrangement becomes especially troubling when health data influences decisions far beyond fitness, such as insurance premiums or employment screening. Advocates for reform argue that biological data deserves a category of protection ③stronger than ordinary consumer information, precisely because it can never truly be ④replaced or reset once it has been ⑤exposed.

Imagine two travelers preparing for the same trip: one ①agrees to fly after watching news coverage of a recent plane crash, while the other books a flight without hesitation. Statistically, air travel remains far ②safer than driving the same distance by car, yet vivid, emotionally charged images tend to ③dominate human judgment more powerfully than dry statistics ever could. 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. News broadcasts that repeatedly feature rare disasters can leave viewers convinced that such events are ④common, even though official records clearly show the opposite. Advertisers and politicians alike ⑤exploit this pattern, knowing that a single striking anecdote often persuades audiences more effectively than pages of careful statistics ever manage to.

For decades, memory researchers assumed that repetition alone determined how well information would be retained, an assumption that an influential theory proposed by Craik and Lockhart eventually overturned. (A) Shallow processing, which involves attending merely to superficial features such as the shape of letters or the sound of a word, produces memory traces that fade quickly and remain vulnerable to interference. Elaborative processing, by contrast, requires connecting new information to existing knowledge, generating meaningful associations, and analyzing semantic content, thereby producing traces that are considerably more durable. (B) Consequently, a student who merely repeats a definition aloud without considering its implications is less likely to retain it than one who relates the concept to a personal example. This distinction reshaped educational practice, encouraging teachers to design tasks that demand comprehension rather than mechanical repetition, since durable memory depends on the depth, not the frequency, of cognitive engagement. (C) According to their framework, what matters most is not how many times a person rehearses material but how deeply that material is processed during encoding.

The influence of the status quo bias extends well beyond personal finance into the design of public policy itself. (A) Consequently, policymakers who wish to encourage socially beneficial behavior, such as organ donation or energy conservation, have increasingly turned to adjusting default settings rather than relying solely on persuasion or financial incentives. (B) Countries that changed their organ donation systems from opt-in to opt-out, for example, observed dramatic increases in the proportion of citizens registered as donors, without any change in the underlying laws governing consent. (C) This outcome demonstrates that the default option itself functions as an implicit recommendation, one that citizens are reluctant to override even when doing so would take only a moment.

주어진 문장: No individual, he pointed out, could realistically process every piece of available information before choosing. Classical economic theory long assumed that decision makers gather all relevant information, calculate every possible outcome, and select the single option that maximizes their benefit. ( ① ) Herbert Simon, however, questioned this assumption, arguing that human beings operate under real constraints of time, knowledge, and mental capacity that make such exhaustive calculation practically impossible. ( ② ) Instead of searching endlessly for the theoretically perfect choice, people typically stop once they find an option that seems good enough to meet their immediate needs, a strategy Simon termed satisficing. ( ③ ) A shopper comparing refrigerators, for example, rarely examines every model available; she instead sets a few practical criteria, such as price and size, and selects the first appliance that satisfies them adequately. ( ④ ) This approach is not a failure of reasoning but rather a sensible adaptation to a world where information is costly and time is genuinely limited. ( ⑤ ) Consequently, models assuming unlimited rationality often fail to predict actual behavior, while frameworks acknowledging these cognitive boundaries offer a far more realistic account of how ordinary decisions are actually made.

주어진 문장: These two findings together suggested that the key to durable memory was not the sheer amount of repetition but the timing of that repetition. In the late nineteenth century, the psychologist Hermann Ebbinghaus undertook a rigorous investigation of forgetting by serving as his own experimental subject. He memorized thousands of meaningless three-letter syllables so that prior knowledge could not skew his results. ( ① ) After learning each list to perfection, he tested his retention at intervals ranging from twenty minutes to a month later. He recorded how many repetitions were required to relearn the material each time. ( ② ) The resulting curve revealed a consistent pattern. Forgetting proceeds rapidly during the initial hours following learning, then gradually decelerates until the rate of loss becomes almost imperceptible. ( ③ ) Roughly half of the acquired information vanished within the first hour alone. Yet whatever survived that initial plunge tended to persist for much longer periods. ( ④ ) Ebbinghaus further found that distributing study sessions across several days produced better retention than cramming the same repetition into one sitting. ( ⑤ ) This finding, now central to modern learning theory, implies that revisiting material shortly before it would otherwise be forgotten interrupts the decline of the forgetting curve.