A trial project by the Montreal Children's Hospital suggested that the use of medical hypnosis(催眠)can reduce pain and anxiety in patients. The project also resulted in a reduction in the amount of medicines used to perform medical-imaging imaging(医学影像) procedures.

"During the examination children don't move. It works perfectly. It's amazing," said Johanne L'Ecuyer, a medical-imaging technologist at the hospital.

The project was inspired by a French team from Rouen University Hospital Centre where examinations are done under hypnosis instead of general anesthesia(麻醉).

A French medical-imaging technologist-also a hypnotist — was invited to train a few members in the medical-imaging department of the children's hospital. In all, 80 examinations were conducted for the project between January and September, 2019, focusing on the imaging procedures that would cause anxiety.

Hypnosis is not a state of sleep: It is rather a modified(改变的)state of consciousness. The technologist will guide the patient to this modified state—an imaginary world that will disassociate itself more and more from the procedure that follows.

"The technologist must build up a story with the patient," Ms. L'Ecuyer said. "The patient is left with the power to choose what he wants to talk about. Do you play sports? Do you like going to the beach? We establish a subject that we will discuss throughout the procedure. "

Everything that happens next during the procedure must be related to this story — an injection (注射) becomes the bite of an insect; the heat on the skin becomes the sensation of the sun and a machine that rings becomes a police car passing nearby.

"The important thing is that the technologist associates what is happening outside the patient's body with what the patient sees in his head," Ms. L'Ecuyer said. "It requires creativity on the part of the technologist, imagination, a lot of patience and kindness."

The procedure appealed to the staff a lot when it was introduced in January. It spread like wildfire that someone from France was here to train the technologists," Ms. L'Ecuyer said. She added that she had a line of staff at her door wanting to take the training.

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.

"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一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 t hinking - 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".