Đề ôn thi Đề thi vào lớp 10 Hà Nội môn Tiếng Anh - Mã đề HN-102

(23) __________ This journey from frustration to success involved several distinct stages. (24) __________

Have you ever wondered how a microwave oven heats your food so quickly? The magic is all thanks to a special type of energy. Inside every microwave, there is a device called a magnetron (25) __________ generates microwaves. These are a type of electromagnetic wave, similar to radio waves. When you press 'start', these microwaves (26) __________ into the food compartment through a guide. The microwaves don't heat the container; instead, they target the water molecules inside the food.

Water molecules have a positive and a negative end. (27) __________, when the microwaves pass through, they cause these molecules to spin around rapidly and (28) __________ friction. This friction produces heat, which then cooks the food from the inside out. This process is incredibly efficient. For instance, a potato that (29) __________ an hour to bake in a regular oven needs only about 10 minutes in the microwave. This technology has certainly (30) __________ a significant impact on modern kitchens.

Have you ever finished watching a great 'phim bộ' on Netflix and immediately seen a perfect suggestion for your next show? It can feel like the service knows you personally. The recommendations often seem so accurate that they could not possibly be random. This isn't magic; it's the result of a very powerful and complex system designed to understand your viewing habits and keep you engaged.

This system is driven by a recommendation algorithm, a type of artificial intelligence. It doesn't just track which movies or series you watch. It collects much more detailed data about your behavior. For example, the algorithm knows when you pause, rewind to re-watch a scene, or abandon a movie halfway through. It also notes what time of day you usually watch and on which device. All this information helps create a unique profile of your preferences.

Streaming services use this data to build a detailed profile of your tastes. Based on this profile, they can predict what else you might like with impressive accuracy. The system categorizes content into thousands of specific 'micro-genres', like 'suspenseful sci-fi movies from the 1980s with a strong female lead'. When your viewing history shows you like several pieces of content in a micro-genre, the algorithm will recommend more of them to you.

So, the next time Netflix suggests a new show that becomes your favorite, you'll know why. It's not a lucky guess but a calculated prediction based on data. Understanding this process can empower you as a user. You can consciously 'train' the algorithm by rating shows or trying different genres, helping the service to fine-tune its suggestions and help you discover content you'll truly love.

The rise of standing desks in offices and classrooms is a direct response to concerns about our increasingly sedentary lifestyles. Proponents argue that standing more can improve posture and burn extra calories. (37) __________.

However, the switch isn't always a perfect solution. Improper use of a standing desk can lead to new physical problems, (38) __________. For example, standing rigidly for extended periods without breaks or proper footwear can be just as harmful as sitting all day. (39) __________. The ideal approach involves alternating between sitting and standing, and ensuring your desk and monitor are at the correct ergonomic height, (40) __________.

A. which helps maintain a neutral spine and reduces muscle fatigue

B. Therefore, the key is not just to stand, but to stand correctly

C. This simple change can combat the negative health effects of sitting for long hours

D. placing unexpected strain on the legs, feet, and lower back