Habit formation is the process by which behaviours become automatic. People develop countless habits as they explore the world, whether they are aware of them or not. Understanding how habits take shape may be helpful in changing bad habits.
Habits are built through learning and repetition. A person is thought to develop a habit in the course of pursuing goals by beginning to associate certain cues(刺激) with behavioural responses that help meet the goal. Over time, thoughts of the behaviour and ultimately the behaviour itself are likely to be triggered(触发) by these cues.
A “habit loop(环)” is a way of describing several related elements that produce habits. These elements are called the cue, the routine, and the reward. For example, stress could serve as a cue that one responds to by eating, which produces the reward﹣the reduction of stress. While a routine involves repeated behaviour, it’s not necessarily performed in response to a deep﹣rooted urge, as a habit is.
Old habits can be difficult to shake, and healthy habits are often harder to develop. But through repetition, it’s possible to form new habits. The amount of time needed to build a habit will depend on multiple factors, including the individual and the intended behaviour. While you are able to pickup a new habit in a few weeks, it takes many months to build a healthy habit. Take some time to think about what leads to bad habits and re﹣evaluate what you get out of them (or don’t). Consider and keep in mind why you want to make a change, including how the change reflects your values.
1. How are habits built?2. In what way is a routine different from a habit?
3. Please decide which part is false in the following statement, then underline it and explain why.
Picking up a new habit takes a few week, while building a healthy habit takes a shorter time.
4. What benefit(s) have you got from one of your good habits?(In about 40 words)
2 . It’s a joyful and stressful time of year in the United States for students and their families as they make decisions about where to attend college. Families often turn to rankings systems to help make a decision.
When I talk to families as a scholar of higher education, they’re often surprised that teaching excellence is not counted in rankings.
Emerging research suggests that courses in lower-ranked universities, on average, scored higher on teaching than courses in higher-ranked universities.
Rankings, however, are only one reason why a low value is placed on teaching in higher education. Administrators often don’t view teaching excellence as a way to increase enrolment (注册) or funding.
What should students and their families do? They should give strong consideration to universities where high-quality teaching is valued, even though the schools may be ranked lower.
| A．Higher education has achieved its true potential. |
| B．Therefore, it’s not highly valued in hiring or promotion. |
| C．Quality teaching has been an important reputation-building factor. |
| D．However, the rankings ignore a critical factor: the quality of teaching. |
| E．Efforts to improve teaching at the university level have recently emerged. |
| F．They’re even more surprised at how teaching is undervalued by universities. |
| G．In fact, universities often shift emphasis from teaching to other ranking factors. |
3 . What is life? Like most great questions, this one is easy to ask but difficult to answer. The reason is simple: we know of just one type of life and it’s challenging to do science with a sample size of one. The field of artificial life-called ALife for short — is the systematic attempt to spell out life’s fundamental principles. Many of these practitioners, so-called ALifers, think that somehow making life is the surest way to really understand what life is.
So far no one has convincingly made artificial life. This track record makes ALife a ripe target for criticism, such as declarations of the field’s doubtful scientific value. Alan Smith, a complexity scientist, is tired of such complaints. Asking about “the point” of ALife might be, well, missing the point entirely, he says. “The existence of a living system is not about the use of anything.” Alan says. “Some people ask me, ‘So what’s the worth of artificial life?’ Do you ever think, ‘What is the worth of your grandmother?’”
As much as many ALifers hate emphasizing their research’s applications, the attempts to create artificial life could have practical payoffs. Artificial intelligence may be considered ALife’s cousin in that researchers in both fields are enamored by a concept called open-ended evolution (演化). This is the capacity for a system to create essentially endless complexity, to be a sort of “novelty generator”. The only system known to exhibit this is Earth’s biosphere. If the field of ALife manages to reproduce life’s endless “creativity” in some virtual model, those same principles could give rise to truly inventive machines.
Compared with the developments of Al, advances in ALife are harder to recognize. One reason is that ALife is a field in which the central concept — life itself — is undefined. The lack of agreement among ALifers doesn’t help either. The result is a diverse line of projects that each advance along their unique paths. For better or worse, ALife mirrors the very subject it studies. Its muddled (混乱的) progression is a striking parallel (平行线) to the evolutionary struggles that have shaped Earth biosphere.
Undefined and uncontrolled, ALife drives its followers to repurpose old ideas and generated novelty. It may be, of course, that these characteristics aren’t in any way surprising or singular. They may apply universally to all acts of evolution. Ultimately ALife may be nothing special. But even this dismissal suggests something：perhaps, just like life itself throughout the universe, the rise of ALife will prove unavoidable.
1. Regarding Alan Smith’s defence of ALife, the author is .| A．supportive | B．puzzled | C．unconcerned | D．doubtful |
| A．Shocked. | B．Protected. | C．Attracted. | D．Challenged. |
| A．ALife holds the key to human future. | B．ALife and AI share a common feature. |
| C．AI mirrors the developments of ALife. | D．AI speeds up the process of human evolution. |
| A．Life Is Undefined. Can AI Be a Way Out? |
| B．Life Evolves. Can AI Help ALife Evolve, Too? |
| C．Life Is Undefined. Can ALife Be Defined One Day? |
| D．Life Evolves. Can Attempts to Create ALife Evolve, Too? |
4 . In recent years, researchers from diverse fields have agreed that short-termism is now a significant problem in industrialised societies. The inability to engage with longer-term causes and consequences leads to some of the world’s most serious problems: climate change, biodiversity collapse, and more. The historian Francis Cole argues that the West has entered a period where “only the present exists, a present characterised at once by the cruelty of the instant and by the boredom of an unending now”.
It has been proved that people have a bias (偏向) towards the present, focusing on loud attractions in the moment at the expense of the health, well-being and financial stability of their future selves or community. In business, this bias surfaces as short-sighted decisions. And on slow-burning problems like climate change, it translates into the unwillingness to make small sacrifices (牺牲) today that could make a major difference tomorrow. Instead, all that matters is next quarter’s profit, or satisfying some other near-term desires.
These biased perspectives cannot be blamed on one single cause. It is fair to say, though, that our psychological biases play a major role. People’s hesitancy to delay satisfaction is the most obvious example, but there are others. One of them is about how the most accessible information in the present affects decisions about the future. For instance, you might hear someone say: “It’s cold this winter, so I needn’t worry about global warming.”Another is that loud and urgent matters are given too much importance, making people ignore longer-term trends that arguably matter more. This is when a pop star draws far more attention than, say, gradual biodiversity decline.
As a psychologist once joked, if aliens (外星人) wanted to weaken humanity, they wouldn’t send ships; they would invent climate change. Indeed, when it comes to environmental transformations, we can develop a form of collective “poor memory”, and each new generation can believe the state of affairs they encounter is nothing out of the ordinary. Older people today, for example, can remember a time with insect-covered car windscreens after long drives. Children, on the other hand, have no idea that insect population has dropped dramatically.
1. The author quotes Francis Cole mainly to ________.| A．draw a comparison |
| B．introduce a topic |
| C．evaluate a statement |
| D．highlight a problem |
| A．Climate change has been forgotten. |
| B．Lessons of history are highly valued. |
| C．The human mind is bad at noting slow change. |
| D．Humans are unwilling to admit their shortcomings. |
| A．Far-sighted thinking matters to humans. |
| B．Humans tend to make long-term sacrifices. |
| C．Current policies facilitate future decision-making. |
| D．Bias towards the present helps reduce near-term desires. |
5 . Sitting in the garden for my friend’s birthday. I felt a buzz (振动) in my pocket. My heart raced when I saw the email sender’s name. The email started off: “Dear Mr Green, thank you for your interest” and “the review process took longer than expected.” It ended with “We are sorry to inform you…” and my vision blurred (模糊). The position—measuring soil quality in the Sahara Desert as part of an undergraduate research programme — had felt like the answer I had spent years looking for.
I had put so much time and emotional energy into applying, and I thought the rejection meant the end of the road for my science career.
So I was shocked when, not long after the email, Professor Mary Devon, who was running the programme, invited me to observe the work being done in her lab. I jumped at the chance, and a few weeks later I was equally shocked—and overjoyed—when she invited me to talk with her about potential projects I could pursue in her lab. What she proposed didn’t seem as exciting as the original project I had applied to, but I was going to give it my all.
I found myself working with a robotics professor on techniques for collecting data from the desert remotely. That project, which I could complete from my sofa instead of in the burning heat of the desert, not only survived the lockdown but worked where traditional methods didn’t. In the end, I had a new scientific interest to pursue.
When I applied to graduate school, I found three programmes promising to allow me to follow my desired research direction. And I applied with the same anxious excitement as before. When I was rejected from one that had seemed like a perfect fit, it was undoubtedly difficult. But this time I had the perspective (视角) to keep it from sending me into panic. It helped that in the end I was accepted into one of the other programmes I was also excited about.
Rather than setting plans in stone, I’ve learned that sometimes I need to take the opportunities that are offered, even if they don’t sound perfect at the time, and make the most of them.
1. How did the author feel upon seeing the email sender’s name?| A．Anxious. | B．Angry. | C．Surprised. | D．Settled. |
| A．criticise the review process | B．stay longer in the Sahara Desert |
| C．apply to the original project again | D．put his heart and soul into the lab work |
| A．demanding | B．inspiring | C．misleading | D．amusing |
| A．An invitation is a reputation. | B．An innovation is a resolution. |
| C．A rejection can be a redirection. | D．A reflection can be a restriction. |
6 . The International Olympic Committee(IOC)Young Leaders programme empowers talents to make a positive difference in their communities through sport. Twenty-five Young Leaders are being selected every two years for a four-year period. They promote the Olympic values, spreading the message of sport for good.
To be an IOC Young Leader, you need to first complete the 4-Week Learning Sprint (冲刺).
4-Week Learning Sprint
The 4-Week Learning Sprint, which will take place during November 2023, is a virtual learning programme. The sessions can be attended live or watched back after they are made available on the IOC channel. Each week, participants will be asked to complete a topic﹣specific reflection task.
The 4-Week Learning Sprint is open to anyone, with the target audience aged between 20 and 28.
After successfully completing the 4-Week Learning Sprint, you will need to submit a plan for a sport﹣based project, which you will work on if selected as an IOC Young Leader.
Requirements for the Applicants
•You have successfully completed the 4-Week Learning Sprint.
•You have completed your high school studies.
•You have at least one year of work experience.
•You have strong public speaking skills.
•You are self-motivated and committed.
•You are passionate about creating positive change in your community.
•You are open to being coached and advised by experts and peers (同伴).
•You are able to work with people from different backgrounds.
1. In the 4-Week Learning Sprint, participants will ________.| A．create change in their community | B．attend a virtual learning programme |
| C．meet people from different backgrounds | D．promote the IOC Young Leaders project |
| A．complete a reflection task each week | B．watch sports on the IOC channel |
| C．work on a sport-based project | D．coach and advise their peers |
| A．Spreading the message of sport for good. | B．Having at least one-year work experience. |
| C．Showing great passion for project planning. | D．Committing themselves to becoming an expert. |
Tom, a 15-year-old inventor and entrepreneur (创业者), witnessed at his own school the widespread consumption of sugary drinks by kids. He knew there had to be a better portable drink solution and decided to innovate from something he saw in his own home: fruit infused (浸泡) water.
Tom watched his mum make healthy fruit infusions but then struggle for a take-along option. From observing his mum and from his desire to give kids better drink options, he came up with his original model for the Fun Bottle. “I wanted to come up with a healthy, natural way for people to drink when on the go. A big part of my mission is to get people of all ages off sugary drinks,” Tom explains.
The bottle is made with a strainer (滤网) that allows the great tastes and natural sugars of the various fruits and vegetables you choose to come through the water, without any of the seeds or skins flowing through.
Tom is proud of his design and excited to be selling the Fun Bottle on his website and in stores, but this 15-year-old is most proud of the opportunities that Fun Bottle presents to others. It helps to provide healthy alternatives to sugary drinks; and also Tom donates part of the profits to the Organisation for a Healthier Generation (OHG).
Tom has been awarded several prizes, but this teenage innovator remains humble. When asked what advice he’d give other entrepreneurial youth, he says, “Prepare and have your family’s support. It is important to know from the beginning that there are a lot of highs and lows, and there is no such thing as overnight success.”
1. What did Tom witness at his own school?2. Where did Tom get the idea for the original model for the Fun Bottle?
3. Please decide which part is false in the following statement, then underline it and explain why.
Tom is most proud of the opportunities that Fun Bottle presents to others because he not only provides healthy alternatives to sugary drinks but also donates all the profits to the OHG.
4. Among Tom’s qualities, which one(s) do you think will be important for us? Why?(In about 40 words)
8 . Quantum ( 量子 ) computers have been on my mind a lot lately. A friend has been sending me articles on how quantum computers might help solve some of the biggest challenges we face as humans. I’ve also had exchanges with two quantum-computing experts. One is computer scientist Chris Johnson who I see as someone who helps keep the field honest. The other is physicist Philip Taylor.
For decades, quantum computing has been little more than a laboratory curiosity. Now, big tech companies have invested in quantum computing, as have many smaller ones. According to Business Weekly, quantum machines could help us “cure cancer, and even take steps to turn climate change in the opposite direction.” This is the sort of hype ( 炒作 ) that annoys Johnson. He worries that researchers are making promises they can’t keep. “What’s new,” Johnson wrote, “is that millions of dollars are now potentially available to quantum computing researchers.”
As quantum computing attracts more attention and funding, researchers may mislead investors, journalists, the public and, worst of all, themselves about their work’s potential. If researchers can’t keep their promises, excitement might give way to doubt, disappointment and anger, Johnson warns. Lots of other technologies have gone through stages of excitement. But something about quantum computing makes it especially prone to hype, Johnson suggests, perhaps because “‘quantum’ stands for something cool you shouldn’t be able to understand.” And that brings me back to Taylor, who suggested that I read his book Q for Quantum.
After I read the book, Taylor patiently answered my questions about it. He also answered my questions about PyQuantum, the firm he co-founded in 2016. Taylor shares Johnson’s concerns about hype, but he says those concerns do not apply to PyQuantum.
The company, he says, is closer than any other firm “by a very large margin ( 幅度 )” to building a “useful” quantum computer, one that “solves an impactful problem that we would not have been able to solve otherwise.” He adds, “People will naturally discount my opinions, but I have spent a lot of time quantitatively comparing what we are doing with others.”
Could PyQuantum really be leading all the competition “by a wide margin”, as Taylor claims? I don’t know. I’m certainly not going to advise my friend or anyone else to invest in quantum computers. But I trust Taylor, just as I trust Johnson.
1. Regarding Johnson’s concerns, the author feels ________.| A．sympathetic | B．unconcerned | C．doubtful | D．excited |
| A．His dominance in physics. | B．The competition in the field. |
| C．His confidence in PyQuantum. | D．The investment of tech companies. |
| A．Open. | B．Cool. | C．Useful. | D．Resistant. |
| A．Is Johnson More Competent Than Taylor? |
| B．Is Quantum Computing Redefining Technology? |
| C．Will Quantum Computers Ever Come into Being? |
| D．Will Quantum Computing Ever Live Up to Its Hype? |
9 . “What would the world be if there were no hunger?” It’s a question that Professor Crystal would ask her students. They found it hard to answer, she wrote later, because imagining something that isn’t part of real life—and learning how to make it real—is a rare skill. It is taught to artists and engineers, but much less often to scientists. Crystal set out to change that, and helped to create a global movement. The result—an approach known as systems thinking—is now seen as essential in meeting global challenges.
Systems thinking is crucial to achieving targets such as zero hunger and better nutrition because it requires considering the way in which food is produced, processed, delivered and consumed, and looking at how those things intersect (交叉 ) with human health, the environment, economics and society. According to systems thinking, changing the food system—or any other network—requires three things to happen. First, researchers need to identify all the players in that system; second, they must work out how they relate to each other; and third, they need to understand and quantify the impact of those relationships on each other and on those outside the system.
Take nutrition. In the latest UN report on global food security, the number of undernourished (营养不良 )people in the world has been rising, despite great advances in nutrition science. Tracking of 150 biochemicals in food has been important in revealing the relationships between calories, sugar, fat and the occurrence of common diseases. But using machine learning and artificial intelligence, some scientists propose that human diets consist of at least 26,000 biochemicals—and that the vast majority are not known. This shows that we have some way to travel before achieving the first objective of systems thinking - which,in this example, is to identify more constituent parts of the nutrition system.
A systems approach to creating change is also built on the assumption that everyone in the system has equal power. But as some researchers find, the food system is not an equal one. A good way to redress (修正 ) such power imbalance is for more universities to do what Crystal did and teach students how to think using a systems approach.
More researchers, policymakers and representatives from the food industry must learn to look beyond their direct lines of responsibility and adopt a systems approach. Crystal knew that visions alone don’t produce results, but concluded that “we’ll never produce results that we can’t envision”.
1. The author uses the question underlined in Paragraph 1 to ________.| A．illustrate an argument | B．highlight an opinion |
| C．introduce the topic | D．predict the ending |
| A．The first objective of systems thinking hasn’t been achieved. |
| B．The relationships among players have been clarified. |
| C．Machine learning can solve the nutrition problem. |
| D．The impact of nutrition cannot be quantified. |
| A．It may be used to justify power imbalance. |
| B．It can be applied to tackle challenges. |
| C．It helps to prove why hunger exists. |
| D．It goes beyond human imagination. |
10 . My name is Alice. Early last year, I was troubled by an anxiety that crippled ( 削弱 ) 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 ( 障碍 ) 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.
1. What was the main cause for Alice’s anxiety?| A．Her inability to act her age. | B．Her habit of consumption. |
| C．Her desire to be perfect. | D．Her lack of inspiration. |
| A．She decided to do something for nature. | B．She tasted the sweetness of friendship. |
| C．She learned about the harm of desire. | D．She built up her courage to speak up. |
| A．intelligent | B．confident | C．innovative | D．critical |
| A．Practice makes perfect. | B．Patience is a cure of anxiety. |
| C．Action is worry’s worst enemy. | D．Everything comes to those who wait. |
