Đề ôn thi Đề thi vào lớp 10 Trường Phổ thông Năng khiếu môn Tiếng Anh - Mã đề PTNK-174

The Venus flytrap is (21) __________ fascinating carnivorous plant native to the subtropical wetlands on the U.S. East Coast. Unlike most plants, this clever hunter actively feeds itself. It has evolved to trap and consume insects, supplementing its diet in environments where the soil is poor in nutrients.

The 'trap' is made from two hinged lobes at the end of each leaf. The edges of these lobes are lined with eyelash-like cilia that interlock when the trap closes. On the inner surface of each lobe are several tiny trigger hairs. These sensitive structures are the key to the plant’s hunting success, acting as the trigger for the mechanism.

The process is remarkably sophisticated. If an insect were bigger, it would be able to escape the trap. The plant waits for suitable prey. When an insect touches one hair, a timer starts. If it touches a second hair within about twenty seconds, the lobes snap shut with surprising speed.

This rapid closure traps its prey in the (22) __________. The cilia prevent the victim from escaping. Once the trap is sealed, it begins (23) __________ digestive enzymes that break down the soft tissues of the insect. This digestion process can take five to twelve days to complete, after which the trap will reopen.

The plant has this ability (24) __________ it grows in soil that lacks essential nutrients like nitrogen. After digestion, the indigestible parts are washed away. A famous botanist reported that the plant's response was faster when the surrounding temperature was warmer, showing its incredible adaptation.

Ever wonder how streaming services like Netflix seem to read your mind, always suggesting that perfect `phim bộ` or action movie you didn't even know you wanted to watch? It’s not magic, but rather the sophisticated power of data science and complex recommendation algorithms working tirelessly behind the scenes. These unseen systems analyze the viewing habits of millions of users, meticulously predicting what an individual will enjoy based on an incredible array of information. This personalized experience is a cornerstone of modern digital entertainment. [I]

At the heart of these suggestions lies immense data collection. Every action you take on a platform—what you watch, how long, what you skip, even searches—is carefully logged. [II] If people with similar tastes enjoyed a series, the system learns to suggest it. This intricate process of identifying connections and predicting preferences from vast datasets is a prime example of Big Data, turning information into tailored entertainment.

Netflix, with its significant presence in Vietnam, invests heavily in localizing and fine-tuning its algorithm for Vietnamese audiences. It’s not just about knowing you watch `phim bộ`; the system delves deeper. It meticulously analyzes subtle behaviors like when you pause, rewind a scene, or even abandon a show partway through. [III] These micro-interactions offer crucial insights into your engagement and preferences, allowing the algorithm to recommend Vietnamese content with remarkable precision, truly understanding local viewing nuances.

For teenagers aged 14-15, who often spend hours browsing Netflix or other streaming platforms, understanding these recommendation systems is incredibly relevant. Knowing why certain movies or series appear on your homepage explains the personalized digital world you inhabit. This insight can help you discover new content more effectively, reducing endless scrolling and making entertainment choices more efficient and satisfying. The system learns with you, constantly refining suggestions to match your evolving tastes and preferences. [IV]

In essence, the ability of streaming services to suggest exactly what you'll love is a testament to data science's transformative power. These algorithms are not static; they are constantly learning and evolving, adapting to new trends and your changing viewing habits. They represent a fascinating intersection of technology and human psychology, shaping how we consume media. So, next time Netflix recommends a show perfectly your style, remember it’s the intelligent processing of countless data points making that magic happen, enhancing your entertainment experience.