5 . Despite his slim body of work, J. D. Salinger was one of the most influential American writers of the 20th century. His short stories, many of which appeared in The New Yorker, inspired the early careers of writers such as Phillip Roth, John Updike and Harold Brodkey.

Born on January 1, 1919, in New York, Salinger was a restless student, attending New York University, Ursinus College and Columbia University. While taking classes at the latter, he met Professor Whit Burnett, who was also the editor of Story magazine. Burnett, sensing Salinger’s talent as a writer, pushed him to create more often and soon Salinger’s works were appearing not just in Story, but in other big-name publications such as Collier’s and the Saturday Evening Post.

His career had started to take off, but then, like so many young American men around that time, World War II interrupted his life. Following the attack on Pearl Harbor, Salinger was drafted into the army, serving from 1942 to 1944. During that time, however, Salinger kept writing for a new novel whose main character was a deeply unsatisfied young man named Holden Caulfield.

When Salinger returned to New York, he quickly set about resuming his life as a writer and soon found his work published in his favorite magazine, The New Yorker.

He also pushed on with the work on his novel about Holden Caulfield. Finally, in 1951, The Catcher in the Rye was published. The book earned its share of positive reviews, but some critics weren’t so kind. But over time the American reading public ate the book up and The Catcher in the Rye became an essential part of the academic literature course. To date, the book has sold more than 65 million copies.

In 1953, two years after the publication of The Catcher in the Rye, Salinger moved from New York City to Cornish, New Hampshire. There, Salinger did his best to cut off contact with the public and significantly slowed his literary output. He only published one new story, the 25,000-word Hapworth 16, 1924, before his death on January 27, 2010, in Cornish, New Hampshire.

6 . What if our bodies had a new way — other than our eardrums — to hear the world around us? That’s what neuroscientist David Eagleman wondered five years ago. Then he looked at the body for answers and saw a huge sound jack (插孔). “We have this huge input channel called our skin,” he says, “and we aren’t using it.”

So Eagleman, along with Scott Novich, his student at Baylor College of Medicine, created the Versatile Extra-Sensory Transducer, or VEST. The VEST is worn like it sounds. Through 32 tiny motors, it translates sound waves into vibrations (振动) on your back.

First, a computer or smartphone picks up sounds from your surroundings and breaks down the sound sample into a set of specific frequencies. Each frequency band in the set sets off one of 32 motors in the VEST. With time and practice, your brain learns to unconsciously interpret the series of vibrations as sound — and individual sounds as words in a language.

“There is no theoretical reason why this can’t be almost as good as the ears,” says Eagleman. So far, he has trained deaf people to recognize single words through the VEST. He hopes to eventually help them understand sentences, and then full conversations. Just like with language, Eagleman discovered, children — whose brains are more shapable — learned to interpret the VEST more easily than adults did.

Eagleman says his device could one day be deployed in dozens of professions to better understand complex environments. A pilot could interpret a plane’s condition through the VEST’s vibrations. An astronaut could literally feel the health of the International Space Station. Eagleman and Novich’s startup, Neo Sensory, plans to develop the VEST for all kinds of uses, so someday we all can experience this sixth sense. “The possibilities are endless for the kind of information we could be streaming in,” says Eagleman.

7 . Mathcamp

Mathcamp is an intensive 5-week-long summer program for mathematically talented teenagers, designed by the Mathematics Foundation of America to expose them to the beauty of advanced mathematical ideas and to new ways of thinking. Attendees can expect a comprehensive curriculum comprising lectures, workshops, and collaborative math projects, with an extensive range of subjects.

At Mathcamp, students can explore undergraduate and even graduate-level topics while building problem-solving skills that will help them in any field they choose to study. They can also study with mathematicians who are passionate about their subject, from internationally known researchers to graduate students at the start of their careers.

Eligibility:

We invite applications from high-school and middle-school students from around the world who are passionate about mathematics. Students between ages 13 and 18 are eligible (有资格的).

Cost: $5,000 (Financial Aid is available on a case-by-case basis)

Location: University of Puget Sound, Tacoma, WA

About the application:

Application materials for our 2024 summer program will be available on January 10, 2024 and all applications received by the deadline (March 6, 2024) will receive equal consideration.

An application to Mathcamp includes the following:

•Some information about your Math Background: where you are now in learning the material that's traditionally covered in high school. We do not require school transcripts (成绩单); instead, we ask for self-reporting of your content knowledge.

•A short piece of writing About You, where you can tell us a little more about yourself, your interest in math, and why you want to come to Mathcamp!

•Your solutions to the Mathcamp 2024 Qualifying Quiz.

•(Optional) A scholarship application, if you require financial assistance to attend Mathcamp. Each applicant's final admissions decision will be determined no later than May 31, 2024.

Program Dates: June 30 — August 4, 2024

8 . More than 1 billion children, teenagers and adults live with obesity (肥胖) around the world, making it the most common form of malnutrition in many countries, according to a study published on Thursday in the journal The Lancet.

“Previous estimates by the World Obesity Federation suggested that there would be 1 billion people living with obesity by 2030, but that number was already overtaken in 2022,” Dr. Majid Ezzati, senior author of the study and professor at Imperial College London, said in a news conference on Thursday. “We hadn’t expected that the things happened so fast.”

The new global study, conducted by more than 1,500 researchers from the Non-Communicable Diseases Risk Factor Collaboration and the World Health Organization (WHO), analyzed the height and weight measurements of over 220 million people from more than 190 countries.

The study focused on rates of underweight and obesity, both forms of malnutrition that are harmful to people’s health. Adults were regarded as obese if their body mass index (指数) (BMI) was greater than or equal to 30 and considered as underweight if their BMI was below18.5. Children and teenagers were defined as obese or underweight based on age and sex, according to the study.

“Undernutrition and obesity are two faces of the same problem, which is the lack of access to a healthy diet,” Dr. Francesco Branca, director of the WHO Department of Nutrition and Food Safety, said in the news conference. “Public policy must aim to improve monitoring of food producers and ensure fair access to healthy and nutritious food for everyone. Over 3 billion people in the world still cannot afford a healthy diet.”

France, which saw a steady level in its obesity rates in the study, has carried out a national plan called Programme National Nutrition Santé that sets objectives for nutritional policy at the industry, consumer and research levels. Countries in South America have begun carrying out front-of-package nutritional labelling that includes clear warnings about fat, sugar and salt levels. Mexico has led the way on taxation of sweetened drinks, and in Chile, processed foods cannot be marketed to children.

9 . Developing new materials requires significant time and labor, but some chemists are now hopeful that AI could one day shoulder much of this burden. In a new study in the Journal of the American Chemical Society, a team used a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a new model to predict experimental results.

Reports from previous studies offer a vast amount of information that chemists need, but finding and analyzing the most relevant details can be laborious. For example, those interested in designing highly porous, crystalline (晶体) metal-organic frameworks (MOFs) — which have potential applications in areas such as clean energy—must sort through hundreds of scientific papers describing a variety of experimental conditions. Researchers have previously attempted to let AI take over this task; however, the language processing models they used required significant technical expertise , and applying them to new topics meant changing the program. Omar Yaghi and colleagues wanted to see if the next generation of language models, which includes ChatGPT, could offer a more accessible, flexible way to extract information.

To analyze text from scientific papers, the team gave ChatGPT prompts (提示符) it through three processes intended to identify and summarize the experimental information the papers contained. The researchers carefully constructed these prompts to minimize the model’s tendency to make up responses, and to ensure the best responses possible.

When tested on 228 papers describing MOF syntheses (合成), this system drew more than 26, 000 factors relevant for making roughly 800 of these mixtures. With these data, the team trained a separate AI model to predict the crystalline state of MOFs based on these conditions. And finally, to make the data more user-friendly, they built a chatbot to answer questions about it. The team notes that, unlike previous AI-based efforts, this one does not require expertise in coding. What’s more, scientists can shift its focus simply by adjusting the narrative language in the prompts. This new system, which they call the “ChatGPT Chemistry Assistant,” could also be useful in other fields of chemistry.