2 . Microgreen Farming

Microgreens have been used in cooking since the 1980s.     1     Chefs now realize they also add flavor and visual appeal when included in all types of dishes and recipes.

As with most vegetables, it all starts with seeds. But instead of allowing the plant to grow to its full potential, microgreens are created when the plant is harvested shortly after it starts to grow. The result is a strong flavor and an ingredient that packs a variety of nutrients and health benefits in a tiny, delicious package. The Journal of Agricultural and Food Chemistry states that microgreens have increased levels of vitamins E, C and K.     2    

One of the most significant benefits of using microgreens in dishes is that they provide an intense experience that will improve the overall flavor of any dish. Many chefs use them to add depth of flavor and to create complex flavor. Another benefit of microgreens is the convenience factor — they are incredibly easy to cook with!     3     You just put them onto your meals such as soups, sandwiches, salads, etc. Microgreens are the ultimate healthy convenience food!

    4     It is usually ready for harvest in only 6-7 days and offers a spicy radish taste. The result is a dish that not only tastes wonderful but offers a visual appeal that satisfies the eyes and is incredibly nutritious!

Traditional plants require an extended amount of time and large amounts of land.     5     They require very little physical effort and are ready for harvest in as little as one week. In addition, growing microgreens doesn’t require a lot of space, and is typically done indoors with a vertical setup. So why not give it a shot?

3 . Think of the words in your head: that tasteless joke you wisely kept to yourself at dinner; your unvoiced impression of your best friend’s new partner. Now imagine that someone could listen in.

Recently, scientists from the University of Texas, have made another step in that direction. In a study published in Neuroscience, the team showed it was possible to read people’s thoughts with a non-invasive brain scanner called fMRI and large language models (LLMs) built with GPT.

The study centered on three subjects, who lay in an fMRI scanner recording their brain activity by detecting changes in blood flow in parts of their brains while they listened to online stories. By integrating this information with the LLMs’ ability to understand how words relate to one another, the researchers developed an encoded (编码的) map of how each individual’s brain responds to different words. Then, the team worked backward. They recorded the fMRI activity while the participants listened to a new story. Using a combination of the patterns previously encoded for each individual and LLMs, the researchers attempted to translate this new brain activity.

While many of the sentences it produced were inaccurate, the decoder generated sentences that got the main idea of what the person was thinking. For instance, when a person heard, “I don’t have my driver’s license yet,” the decoder spat out, “She has not even started to learn to drive yet.” Alex Huth from the university said, “We were shocked and impressed that this worked as well as it does.”

The researchers also found that the technology isn’t one-size-fits-all. Each decoder was quite personalized and worked only for the person whose brain data had helped build it. Additionally, a person had to voluntarily cooperate for the decoder to identify ideas. If a person wasn’t paying attention to an audio story, the decoder couldn’t pick that story up from brain signals.

While the technology was still far from perfect, the result could ultimately lead to seamless devices that help people who can’t talk or otherwise communicate easily. However, the research also raises privacy concerns about unwelcome neural overhearing. The team said the potential of the technology was such that policymakers should proactively address how it can be legally used. Jerry Tang from the team said, “Nobody’s brain should be decoded without their permission. If one day it does become possible to get accurate decoding without a person’s will, we’ll have a regulatory foundation in place.”

4 . As you leave the Bandhavgarh National Park in India, there is a notice which shows a huge tiger. The notice says, “You may not have seen me, but I have seen you.” There are more than a billion people in India and Indian tigers probably see humans every single day. Tigers can and do kill almost anything they meet in the jungle. However, it is a little strange that attacks on humans are not that frequent.

Some people might argue that these attacks were in fact common in the past. But there were far more tigers around in those days. So, to some extent, attacks appear to have been as rare then as they are today.

People think it is because of fears, but what exactly are tigers afraid of? Can they really know that we may be even better armed than they are? Surely not. Has the species programmed the experiences of all tigers with humans into its genes to be inherited as instinct? Perhaps. But I think the explanation may be simpler and, in a way, more interesting.

I suspect that a tiger’s fear of humans lies in the way he actually observes us visually. Imagine a tiger sees a man who is 1.8 meters tall. A tiger is less than 1 meter tall but he may be up to 3 meters long from head to tail. So when a tiger sees the man face on, it might not be unreasonable for him to assume that the man is 6 meters long. If he met a deer of this size, he might attack the animal by leaping on its back, but when he looks behind the man, he can’t see a back. From the front the man is huge, but looked at from the side he all but disappears. This must be very disturbing. A hunter has to be confident that it can kill its prey, and no one is confident when they are disconcerted.

The opposite is true of a squatting human. A squatting human is half the size and presents twice the spread of back, and appears like a medium-sized deer. Many incidents of attacks on people involve villagers bending over to cut grass. The fact that humans stand upright may not just distinguish them from other species, but also help them to survive in an unpredictable environment.

In New York, longtime Kunqu artists and students are working together to pass down the ancient traditional form from generation     1     generation, and Kunqu societies     2     (be) active in the city for over 30 years. And recently, these Kunqu Opera artists, young and old, staged a performance at the Big Apple     3     (celebrate) the 35th anniversary of the Kunqu Society of New York, a nonprofit culture and arts organization.

8 . Last September, Sarah, 44, slipped on a platform and ________ in the gap between a train and the platform edge. When the train left the station, it ran over her right arm and leg. Unfortunately, another train pulled in, causing further ________. A few minutes later, someone noticed her and called emergency services. They ________ to the scene and took Sarah to the hospital, but doctors were ________ to save her arm and leg.

________, Sarah is now the world’s first woman to use a £250.00 bionic (仿生) arm ________ by AI.

“It’s hard to explain but when I think about a ________ — say ‘open my hand’ — my muscles twitch (颤动) in a particular way. The sensors in it will ________ these twitches, and send signals to make my hand work. And if it ________ the fact that I point my finger often, it will learn that I like to do that and make it easier for me to do so,” said Sarah.

In February, Sarah returned to work and a few months later she attended a conference in Rome to give a speech about the accident.

“I do miss myself before the accident. But at the end of the day, I’m just ________ that AI can give me a piece of my life back. I know I am blessed to be able to keep moving forward with my family.”