1 . Obese people experience discrimination (歧视) in many parts of their lives, and the workplace is no exception. Studies have long shown that obese workers, defined as those with a body-mass index (BMI) of 30 or more, earn significantly less than their slimmer co-workers.

Yet the costs of weight discrimination may be even greater than previously thought. “The overwhelming evidence,” wrote the Institute for employment Studies, “is that it is only women living with obesity who experience the obesity wage penalty (薪资损失).” They were expressing a view that is widely aired in academic papers. To test it, The Economist has analyzed data concerning 23,000 workers from the American Time Use Survey, conducted by the Bureau of Labour Statistics. Our number-processing suggests that, in fact, being obese hurts the earnings of both women and men.

The data we analyzed cover men and women aged between 25 and 54 and in full-time employment. At a general level, it is true that men’s BMIs are unrelated to their wages. But that changes for men with university degrees. For them, obesity is associated with a wage penalty of nearly 8%, even after accounting for the separate effects of age, race, graduate education and marital status.

The conclusion — that well-educated workers in particular are penalized for their weight — holds for both sexes. Moreover, the higher your level of education, the greater the penalty. We found that obese men with a Bachelor’s degree (学士学位) earn 5% less than their thinner colleagues, while those with a Master’s degree earn 14% less. Obese women, it is true, still have it worse: for them, the equivalent figures are 12% and 19%, respectively (分别地).

Your line of work makes a difference, too. When we dealt with the numbers for individual occupations and industries, we found the greatest differences in high-skilled jobs. Obese workers in health care, for example, make 11% less than their slimmer colleagues; those in management roles make roughly 9% less, on average. In sectors such as construction and agriculture, meanwhile, obesity is actually associated with higher wages.

These results suggest that the total costs of wage discrimination borne by overweight workers in America are greater than expected. Now, it’s time for our governments to take it seriously.

2 . The ability of music to evoke (唤起) specific, often powerful feelings is no secret to anyone who has listened to Gustav Mahler’s “Symphony No. 5”, Billie Holiday’s “God Bless the Child”, the Ramones’ “I Wanna Be Sedated”, Lizzo’s “Good as Hell” or any of the other countless compositions that have found their way onto Western playlists in the past few centuries.

The emotional effects of music are the point, of course. They are also the subject of a fast-growing field of research around the world in which scientists are exploring the nature of the many “subjective experiences”—such as joy, sadness, anxiety and calmness—that music evokes.

In a recent set of experiments, researchers at the University of California, Berkeley, and their colleagues sought to determine if the feelings that people experience when listening to music “show evidence of universality”. They compared and analyzed how more than 2,800 U.S. and Chinese study participants responded to 2,168 (mostly Western) samples of instrumental music. The team identified 13 distinct and very specific feelings that the Chinese and U.S. subjects shared when listening to music, despite their cultural differences.

The music used in the research, described in the paper as “the richest set of Western music samples ever studied,” included classical, pop, rock, indie, hip-hop, R&B, country, film soundtracks, and more. An additional 189 sample of traditional Chinese music was also used. In all, the researchers gathered 375,230 judgments of the samples from the study participants.

In the first experiment, subjects listened to Western music samples (each of which was just five seconds long) and reported on the specific feelings they evoked, choosing responses from a list of 28 “categories of subjective experience” provided by the researchers. Terms on the list included “victorious/heroic”, “sad/depressing”, “joyful/cheerful”, “awe-inspiring/amazing” and “dreamy”. The team then used data-driven statistical modeling to identify the 13 shared experiences. The second experiment, which included the Chinese music, involved broad evaluations of the samples by participants—such as whether the subjects liked or disliked them or found them exciting or not. A central finding of the study, the researchers write, is that specific feelings “drive the experience of music” more than the broader features.

4 . It was the day of the big cross-country run. Students from seven different primary schools in and around the small town were warming up. I looked around and ______spotted David. I walked over and asked him why he wasn’t with the other______. He hesitated and then said he had decided not to______.

What was wrong? He had worked so hard for this event! I quickly searched for the school’s ______ and asked him what had happened. He said that kids from other schools would ______David. After making sure that David could run if he ______ to, I decided to have a talk with David.

David had a brain ______ which prevented him from walking or running like other children, but he always participated to the ______of his ability in whatever they were doing. That was why none of the children thought it ______ that David had decided to join the cross-country team. It just took him ______— that’s all. As a special education teacher at the school, I was familiar with the ______ David faced and was proud of his strong ______.

I came up to David and ______ him. Finally, he was determined to______ the race. Half an hour later, the race ______, but he had only gone a few meters before he tripped and ______on the ground. My heart ______. As I started to shout encouragement, other voices around me took up the ______. “Come on David, you can do it!” David picked himself up and started again. Needless to say, David ______ last. And he raised his arms high as he ______ the finish line to wild cheers and applause.

5 . Nuclear pollution is a serious global   ___________, brought to the forefront by major accidents at Three Mile Island, Chernobyl, and Fukushima. These events have demonstrated the significant health and environmental risks _________by nuclear disasters. Not only have they caused immediate health problems, such as radiation sickness and increased cancer rates, but they have also _________lasting environmental damage and genetic changes in affected communities. As a result, nuclear pollution remains a pressing concern for governments, scholars, and individuals worldwide.

When nuclear accidents occur in coastal areas, the _________environment becomes a critical concern due to the crucial role that oceans play in _________the climate, ensuring food security, and supporting the livelihoods of billions of people globally. In recent years, the increasing threats to marine ecosystems from ocean pollution have _________public awareness of the need to protect the marine environment. Studies have shown that human activities pose a _________threat to marine environments, emphasizing the importance of improving environmental management and taking measures to mitigate environmental risks.

Following the Fukushima nuclear disaster in 2011, efforts to cool the reactors by pumping in seawater resulted in the _________of a significant amount of nuclear waste in the water storage tank at the Fukushima Nuclear Power Plant. _________attempts to manage this waste, the Japanese government’s decision to release nearly 1.26 million tons of nuclear wastewater into the Pacific Ocean over the next 40 years has faced opposition __________neighboring countries, local ____________, and international environmental organizations.

This __________poses serious risks to marine life, fisheries, and human health. Radioactive isotopes present in the wastewater, such as tritium, carbon-14, cobalt-60, and strontium-90, can accumulate in marine organisms and ultimately affect human populations through the food ____________. Therefore, there is an/a ____________need for further research and mitigation measures to __________the widespread impacts of nuclear pollution on the environment and human health.

6 . In the Pixar movie Up, a fun cartoon dog called Dug wears a magical collar which can detect and translate his barks and cries into fluent human speech. Humans have always been fascinated by the potential to communicate with the animals. This week, an article in the New York Times documented major efforts from a group of researchers using machine-learning algorithms (算法) to analyze the different calls of whales, chickens, bats, cats, and more.

There are several ways to train AI systems now. Typically, Al systems learn through training with labeled data of human language which can be well supplied by the Internet. But analyzing animal language is different. Scientists have to instruct software programs on what to look for, and how to organize the data. This process requires matching gained vocal (发声的) recordings with the visual social behaviors of animals. A group studying Egyptian fruit bats, for example, also used video cameras to record the bats themselves to provide context for the calls.

Many critics of this approach point out two weaknesses of current AI language models: being unable to truly understand the relationships between words and the objects in the real world, and scientists’ little understanding of animal societies. Al language models for humans rely on a computer mapping out the relationship between words and the contexts they could appear in. But these models have their own weak points, and can sometimes be a black box—researchers know what goes in and comes out, but don’t quite understand how the algorithm is arriving at the conclusion.

Another factor that researchers should take into account is that animal communications might not work at all like human communications. There might be unique elements to animal language due to physiological and behavioral differences.

Making a Translator for animals has been a popular project that’s been in the works for the last decade. Although some software has shown some success in identifying the basic vocabulary of certain animals, it’s still a far cry from understanding the complex animal languages.

9 . The call for public engagement with the unthinkable is especially germane in this moment of still-uncontrolled pandemic and economic crises in the world’s most technologically advanced nations. Not very long ago, it was also unthinkable that a virus would shut down nations and that safety nets would be proven so disastrously lacking in flexibility.

10 . 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.