One day, a woman gazed silently at a black and white photograph of a little girl kneeling in the snow.

“Her name is Tina,” said the man who had handed her the picture. “She’s seven years old.   I love my daughter more than anything, but I can’t keep her. My wife…she isn’t Tina’s mother,   you know? She hates having a reminder around of my other marriage. I had to send Tina back to my cx-wife. to keep her cafe”

“But Tina’s mother hasn’t had Tom with her for your; she’s married now with two kids and she... well. she’s mutationally manic in deal with another one. You see?” He swallowed hard before adding. “My daughter need a home.”

The woman handed the photograph to her husband, when look it and audited it for several minutes before giving it back with a small smile He said. “Well. honey, what do you think?”

The woman looked into the eyes of the little girl’s father “Yes,” she said “We’ll take her.”

The little girl in the photograph was me. And the common when degreed to open her heart and home to a child she’d never met was my new mother. My new father, of course, played an important, loving part in this decision. but it was my mother who was willing to take on the full-time, thankless, and often heartbreaking care of a previously abused child. Loving me would be a challenge for hot from the very beginning.

In the first place, I didn’t want to be there. I was heartbroken at being taken away from my father. Moreover, I had a natural distrust of women. The two in my life so far had either abandoned me or beaten me. In my mind, why should this new one be any different?

I bonded with my new father quickly. But my mother was the one to deal with a bitter.   confused little girl. I tested my new mother’s love from time to time.

One day, when we ate out, I made a noise on purpose.

However, my mother didn’t give up.

2 . Atomic shapes are so simple that they can’t be broken down any further. Mathematicians are trying to turn to artificial intelligence (AI) for help to build a periodic table of these shapes, hoping it will assist in finding yet-unknown atomic shapes.

Tom Coates at Imperial College London and his colleagues are working to classify atomic shapes known as Fano varieties, which are so simple that they can’t be broken down into smaller components. Just as chemists arranged element s in the periodic table by their atomic weight and group to reveal new insights, the researchers hope that organizing these atomic shapes by their various properties will help in understanding them.

The team has given each atomic shape a sequence of numbers based on its features such as the number of holes it has or the extent to which it bends around itself. This acts as a bar code (条形码) to identify it. Coates and his colleagues have now created an AI that can predict certain properties of these shapes from their bar code numbers alone, with an accuracy of 98 percent.

The team member Alexander Kasprzyk at the University of Nottingham, UK, says that the AI has let the team organize atomic shapes in a way that begins to follow the periodic table, so that when you read from left to right, or up and down, there seem to be general patterns in the geometry (几何) of the shapes.

Graham Nib lo at the University of Southampton, UK, stresses that humans will still need to understand the results provided by AI and create proofs of these ideas. “AI has definitely got unbelievable abilities. But in the same way that telescopes (望远镜) don’t put astronomers out of work, AI doesn’t put mathematicians out of work,” he says. “It just gives us new backing that allows us to explore parts of the mathematical landscape that are out of reach.”

The team hopes to improve the model to the point where missing spaces in its periodic table could point to the existence of unknown shapes.

I am honored to give a presentation about Chinese culture to international students at your invitation.

Sincerely yours,

Li Hua

Everyone has a hero — someone he admires, who has had an impact on his life. My brother, John, is my hero. He is the most sympathetic, sweet and funny person I have ever met. John is also mentally handicapped (智障的) and has a developmental disability known as autism (自闭症).

I used to be ashamed of John when I was little. When he first started talking, he had a hard time with pronunciation and understanding the meaning of words. He called me May-Me for most of my childhood because he could not pronounce Amy. As John grew older, his language ability gradually increased. I went from May-Me to Amy, and hammer burgers became hamburgers.

When I was younger, I was embarrassed by John. He used to run around in stores talking to himself, flicking his ears and putting his hands in his mouth. He had a hard time swallowing and would have drool (流口水) running down his face. John was very loud, and it seemed to me that he would always find the quietest moments to talk.

All I ever wanted was a normal brother. I would look at other brothers and sisters, see their relationships and turn green with envy. Why did my brother have to be so different? I was very self-conscious of what people thought. I felt as if the entire world was laughing at me because of the way John was acting. I was utterly offended at times that I could not have a normal brother.

The siblings of an autistic child can have many reactions to the amount of attention the autistic child receives. Some feel as if they are not receiving enough attention and may become superachievers to get their share. I hate to admit it, but I definitely fall into this category. I feel the need to excel (突出) in everything I do. I cannot help but think that this comes from having a disabled brother.

John has changed significantly over the past eighteen years.

As I grow older, I’m no longer ashamed of my brother; instead, I am ashamed that I used to be.

The Cultural Symbol of China

There are lots of fantastic things representing (代表) our great culture and people.

9 . Scientists have discovered more than 5,000 new species living on the seabed in an untouched area of the Pacific Ocean that has been identified as a future hotspot for deep-sea mining, according to a review of the environmental surveys carried out in the area.

It is the first time the previously unknown biodiversity of the Clarion-Clipperton Zone (CCZ), a mineral-rich area of the ocean floor that spans 1.7m sq miles between Hawaii and Mexico in the Pacific, has been comprehensively documented. The research will be critical to assessing the risk of extinction of the species, given contracts for deep-sea mining in the near-pristine area appear imminent.

Most of the animals identified by researchers exploring the zone are new to science, and almost all are unique to the region: only six, including a carnivorous sponge and a sea cucumber, have been seen elsewhere.

Contracts for mining exploration in the CCZ have been granted to 17 deep-sea mining contractors in an area covering 745,000 sq miles. The companies, which are backed by countries including Britain, the US and China, want to dig for minerals including cobalt manganese and nickel in part to sell to the alternative energy sector.

To better understand the impact of mining this fragile ecosystem and its newly discovered inhabitants, an international team of scientists has built the first “CCZ checklist” by compiling all the records from expeditions to the region. Published in the journal Current Biology, it includes 5,578 different species, of which an estimated 88% to 92% had never before been seen.

To study and collect specimens (样品) from the ocean floor, biologists have joined research cruises in the Pacific that send remote-controlled vehicles to traverse (穿越) the seabed 4,000 to 6,000 meters below. Adrian Glover, a deep-sea biologist at the NHM and senior author of the study described it as an “incredible privilege”. The expedition, funded through the Natural Environment Research Council and others, is backed by UK Seabed Resources (UKSR), a deep-sea mining company that operates the UK’s exploration area. The scientists watch operations by video link direct from the boat as new species are gathered by remote control vehicles in the darkness below.

The seabed, Glover said, is an “amazing place” where, despite the extreme cold and dark, life thrives. “One of the characteristics of the abyssal plain is the lack of food, but life has a way of persisting down there,” he said, “It’s a mystery.” One of the deep-sea animals discovered was nicknamed the “gummy squirrel”, because of its huge tail and jelly-like appearance, he said. There are also glass sponges, some of which look like vases.

With approval for deep-sea mining looming, Glover said he believed it was “imperative that we work with the companies looking to mine these resources to ensure any such activity is done in a way that limits its impact upon the natural world”.

10 . Background noise—like the chatter in a coffee shop or the drone of passing traffic—might slow our reading speed, but according to a study of Russian readers, it doesn’t _________ how our brain understands written text.

_________, if you’re wondering whether you should be listening to podcasts or music while working, the study has some interesting points to make. In particular, it examined how we might change our reading style to compensate for auditory noise and visual distractions such as typos or poor formatting.

“Overall, previous studies reported a harmful effect of both auditory and visual noise on reading fluency and _________, though their results varied,” write linguistics researcher Nina Zdorova and colleagues. “So far, none of the studies exploring the influence of noise _________ it in the framework of the language processing theories.”

One of the language processing theories examined was the noisy channel model, which proposes that our brain deals with noise by looking at the meaning of _________ words more and at entire sentences less. We then use a bit of smart guesswork to _________ the overall meaning and relationships between words.

The second theory is the good enough model; that’s when our brains aren’t analyzing every single detail of a text but instead only grabbing enough words for a ‘good enough’ understanding. By focusing less on the precise words, our brains can _________ some cognitive resources to deal with noise.

To see how reading was affected by noise _________ these models, the researchers ran two experiments: one on auditory noise (71 participants) and one on visual noise (70 participants). When it came to the auditory noise test, background chatter from overlapping podcasts caused people to spend longer looking at the key section of sentences before completing their reading. This extra time could _________ the noise, meaning sentence comprehension isn’t affected by it. In the visual noise test, comprehension remained the same while reading speed __________. That’s a bit __________ considering previous studies, but the researchers think people just wanted to finish the task, with the visual noise an uncomfortable distraction.

There’s a lot going on in this study, but overall it’s a bigger win for the good-enough language processing theory and an indication that auditory and visual noise doesn’t make us __________ any more or less on any particular comprehension method while we’re reading.

With so many variables to measure in terms of what’s being read and what the __________ noise is, further study is required to learn more. __________ potential distractions may not interrupt your reading as much as you think.