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四川省成都市石室中学2023-2024学年高三下学期二诊模拟考试英语试题

作者UID:21158589
日期: 2024-05-04
高考模拟
阅读理解
/span>.阅读理解

My name is Alice. Early last year, I was troubled by an anxiety that crippled my ability to do anything. I felt like a storm cloud hung over me. For almost a year I struggled on, constantly staring at this wall that faced me. My perfectionist tendencies were the main root of this: I wanted to be perfect at whatever I did, which obviously in life is not possible, but it consumed me.

One day, I attended a presentation by wildlife conservationist Grant Brown at my high school. His presentation not only awed and inspired me, but also helped emerge an inner desire to make a difference in the world. I joined a pre-presentation dinner with him and that smaller setting allowed me to slowly build up my courage to speak one-on-one with him—an idea that had seemed completely impossible. This first contact was where my story began.

A month later, Brown invited me to attend the World Youth Wildlife Conference. Looking back, I now see that this would be the first in a series of timely opportunities that my old self would have let pass, but that this new and more confident Alice enthusiastically seized. Shortly after I received his invitation, applications to join the Youth for Nature and the Youth for Planet groups were sent around through my high school. I decided to commit to completing the applications, and soon I was a part of a growing global team of young people working to protect nature. Each of these new steps continued to grow my confidence.

I am writing this just six months since my journey began and I've realised that my biggest obstacle this whole time was myself. It was that voice in the back of my head telling me that one phrase that has stopped so many people from reaching their potential: I can't. They say good things come to those who wait; I say: grab every opportunity with everything you have and be impatient. After all, nature does not require our patience, but our action.

/span>.阅读理解

Zoologists studied the nervous systems of insects to investigate principles of biological brain computation and possible effects on machine learning and artificial intelligence. Specifically, they analysed how insects learn to associate sensory information in their environment with a food reward, and how they can recall this information later in order to solve complex tasks such as the search for food.

Living organisms show remarkable abilities in coping with problems posed by complex and dynamic environments. They are able to generalize their experiences in order to rapidly adapt their behaviour when the environment changes. The zoologists investigated how the nervous system of the fruit fly controls its behaviour when searching for food.

Using a computer model, they simulated(模拟) and analysed the computations in the fruit fly's nervous system in response to scents coming from the food source. They initially trained their model of the fly brain in exactly the same way as insects are trained in experiments. They presented a specific scent in the simulation together with a reward and a second scent without a reward.

"The model rapidly learns a strong representation of the rewarded scent after just a few scent presentations and is then able to find the source of this scent in a complex environment," said computer scientist Dr Hannes Rapp, who created the model.

The model created is thus capable of generalizing from its memory and to apply what it has learned previously in a completely new and complex environment, while learning required only a very small database of training samples.

The results suggest that the transformation of sensory information into memories in the brain can inspire future machine learning and artificial intelligence applications to solving complex tasks.

/span>.阅读理解

Space is becoming more crowded. On December 3, a Falcon 9 rocket made by Space X thundered into the sky. On board were 64 small satellites, more than any American company had launched before in one go. They have a variety of uses, from space-based-radar to the monitoring of radio-frequency-emissions. They will be working in their orbits(轨道).

These objects are part of the latest breed of low-Earth-orbit (LEO) satellites. This launch is just taste of what is planned. Space X and One Web, a communications firm, plan to launch satellites in their thousands, not hundreds. The pair are set to double the total number of satellites in orbit by 2027. 

That promises to change things dramatically on Earth. LEO satellites can bring internet connectivity to places where it is still unavailable or unaffordable. This will also be a lasting source of new demand for the space economy. Morgan Stanley, a bank, projects that the space industry will grow from $350 billion in 2016 to more than $

1.1 trillion by 

2040. New internet satellites will account for a half this increase.

For that to happen, however, three worries must be overcome. Debris (碎片) is the most familiar concern. As long ago as 1978, Donald Kessler, a scientist at NASA, proposed a situation in which, when enough satellites were packed into low-Earth orbits, any collision could cause a chain reaction which would eventually destroy all space craft in the same orbital plane. The syndrome which bears Mr. Kessler's name weighs heavily on the minds of executives at the new satellite firms. Debris could cause entire tracts (广阔的一片) of space to be unusable for decades.

Solutions exist. One is to grab malfunction satellites and pull them down into Earth's atmosphere. Another is to monitor space more intensively for debris; a US Air Force program me called Space Fence is due to start in

2019. But technology is only part of the answer. Rules are needed to govern the safe disposal of old satellites from low-Earth orbit.   

Cyber-security is a second, long-standing worry. Hackers could take control of a satellite and seal intellectual property, redirect data flows or cause a collision. The satellite industry has been slow to respond to such concerns. But as more of the world's population comes to rely on the infrastructure of space for access to the internet, the need for action intensifies.

The third issue follows from the first two. If a simple mistake or a cyber-attack can cause a chain reaction which wipes out hundreds of billions of dollars of investment, who is liable? Underwriters (承保商) are studying the plans of firms (quite a lot) that wish to operate large numbers of satellites. But there is a long way to go before the risks are well understood, let alone priced.

As space becomes more commercialized, mind-bending prospects open up: packages moved across the planet in minutes by rocket rather than by plane, equipment sent to other small planets, passengers launched into orbit and beyond. All that and more may come, one day. But such activities would raise the same questions as LEO satellites do. They must be answered before the space economy can truly develop.

任务型阅读
任务型阅读

The information age has reached a critical point, with AI's superior computation ability surpassing that of humans. A report released by Goldman Sachs in March 2023 estimated that AI is capable of doing a quarter of all the work currently done by humans. It would not just happen to individuals, but it could be pretty systematic. Across the European Union and US, the report further notes, 300 million jobs are expected to be lost to automation.

According to Martin Ford, author of Rule of the Robots: How Artificial Intelligence Will Transform Everything, three categories are going to be relatively secure in the foreseeable future. That means you're not doing formulaic (程式化的) work or just rearranging things, but generating new ideas. For example, in the field of science, where your job is coming up with a novel strategy or solution, there's going to be a place for human beings.

The second category is jobs that require sophisticated interpersonal relationships like nurses, business consultants and investigative journalists. These are jobs where you need a very deep understanding of people.  

The third safe zone includes jobs that really require lots of mobility and problem-solving ability in unpredictable environments. Electricians, plumbers, welders (焊工) and the like all fall under this umbrella, where you're dealing with different situations all the time.

In short, seeking roles in dynamic, shifting environments that include unpredictable tasks is good way to avoid job loss to AI, at least, for a while. It's important to note that an advanced education is not a defense against AI takeover. In many cases, more educated workers are going to be more threatened than even the least educated workers. It's really hard to automate that job.

A.That could be terrible.

B.However, they are not coming for all jobs.

C.Thankfully, there are still things AI isn't capable of.

D.The first would be jobs that are genuinely creative.

E.Think of the person that cleans hotel rooms.

F.That doesn't necessarily mean all jobs that are considered "creative" are safe.

G.It'll be a long time before AI has the ability to really build relationships and interact.

/span>、完形填空
/span>. 完形填空

On a clear afternoon in late October a few years ago, I stood underneath a giant overhanging cliff near my hometown, Lancaster, Pennsylvania. The scenery that day was particularly 1 , with deer chewing on the brown grasses by the river below, and hawks 2  the wind. 

I was tied in, ready to 3 . I was attempting to do a tough route for the first time. "Onsight" (首次攀登), as we call it, means I didn't know where I was climbing to. It would be a hard try for me to onsight such a difficult route. What I need is focus. No 4 .

Just as I was about to climb, 5 in my body, which I hadn't felt yet, woke up and said hello to me. That was a terrible sign for any athlete. Desperate as I felt, I painted a coat of 6 on my inner walls of doubt to ease my tension. I 7 myself at the top, celebrating. "You can do this," I 8 told myself. "If you believe, success is for sure."

It didn't work. 9 , I fell near the top. Defeated, I lowered myself to the ground and realized immediately that the too strong desire to climb the route had 10 me from doing it.

My self-worth was closely 11  at that unnatural moment with my success or failure, which 12  a chain of reaction: unnatural desire, pressure, performance anxiety. I had just climbed with a mind fascinated with the top but a body 13  below with irregular and unnatural movement. 

I told myself that on my next 14 , success or failure didn't matter. "Just make one move at a time." I gave myself a pass for whatever would happen. Case closed, it 15 . I floated to the top with grace, clarity and 16 .

That moment got me thinking, and then researching. At some point, I concluded this experience 17  simple arithmetic (算术): When I 18  (determination, self-confidence, desire), I failed; when I took away (the desire for success); my body moved with greater 19  and I made it. As an athlete of 30 years, I discovered the 20  of subtraction (减法) for the very first time.

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