1. Who is the speaker?
| A．A nurse. | B．A doctor. | C．A student. |
| A．Some of them save many lives. |
| B．Not many have life-saving skills. |
| C．They learn early how to save lives. |
| A．Research on first aid. |
| B．Where first aid is taught. |
| C．Teaching first aid to children. |
| A．On a beach. | B．In a hospital. | C．Over the phone. |
| A．A physics exam. |
| B．An experiment. |
| C．A medical check-up. |
Traditional Chinese medicine (TCM) is a health care system in which patients
According to the World Health Organization, nearly 80 percent of the world’s population depends for its primary health care needs
Increasingly, however, modern medicines also contain substances from animals and plants. Given growing populations, increasing wealth, and the
For instance, TCM uses about 1,000 plant and 36 animal species, including the tiger, rhinoceros (犀牛), and sea horse,
1. How long has the woman been in hospital?
| A．For one week. | B．For ten days. | C．For two weeks. |
| A．In two weeks. | B．Tomorrow. | C．Uncertain. |
| A．Having medical checks regularly. |
| B．Taking the medicine every day. |
| C．Avoiding any physical exercise. |
| A．In a few days. |
| B．In a long time. |
| C．As soon as she leaves the hospital. |
| A．Give first aid. | B．Do breathing exercises. | C．Relax himself. |
1. What is the matter with Mr. Smith?
| A．He is unqualified for his job. | B．His leg is broken. | C．He got a sore throat. |
| A．Chinese. | B．English. | C．Physics. |
| A．He has to help his students prepare for the exam. |
| B．He has trouble sleeping. |
| C．He wants to visit a friend. |
1. What is the woman doing now?
| A．Working at a clinic. |
| B．Shopping in a supermarket. |
| C．Buying medicines in a drug store. |
| A．Before going to bed. | B．After meals. | C．At noon. |
| A．Having a meal. | B．Taking a walk. | C．Driving a car. |
| A．By card. | B．In cash. | C．By E-payment. |
9 . “Your mother needs a new heart,” my father told me when I called on that December afternoon. An unrelenting optimist, he spoke as if she merely needed to have a part replaced. But, although my two sisters and I knew that our mother had heart problems, this news still made us frozen for a while with our eyes widening in disbelief.
Dr. Marc Semigran of the transplant team reviewed my mother’s medical history. She’d had an irregular and rapid heartbeat for most of her life. Her present treatment — the use of a series of cardioversions, or electric jolts, to restore a normal heartbeat — would not work in the long-term. She had an enlarged and weakened heart, as well as a faulty valve.
“With medication,” Dr. Semigran said, “you have a 60 percent chance of living six months. You could have a longer life with a transplant, but there are risks. You’re at the top end of the age group of sixty years old. The lungs and other organs must be healthy and strong. While the transplant surgery is actually a straightforward procedure, acceptance by the body is the difficult thing.”
My family came together, trying to provide strength and work out what to do. We’d already gone from shock, over our mother’s condition, to worry that she wouldn’t be a suitable recipient. Despite of the risk, we chose to believe that she would make it eventually.
Word came later in December that she had been accepted into the programme. Dr. Jeremy Ruskin told us one of the reasons she had been accepted was that she had such strong family support.
One Monday in May, at about 8 p. m., my mother received a phone call from the hospital that a heart was available. As she was about to be wheeled off, my father took her face in his hands and looked into her eyes. His look said everything about their 42-year relationship.
The heart transplant operation was successful and the conditions could not have been better.
The irony of the transplant process is that one family’s loss is another’s gain; that tragedy begets fortune. It is a kind of life after death, our hearts beating beyond us. We developed a feeling of love for this new part, of gratitude for the doctors, for the process, and for those people who made a decision just for humanity.
1. How did the sisters feel to the news that their mother needed a new heart?| A．Frightened. | B．Astonished. | C．Worried. | D．Annoyed. |
| A．Her abnormal heart beat. |
| B．The age of over sixty years old. |
| C．Her willingness to the transplant. |
| D．The adaptation of the new heart in the body. |
| A．That her lungs were healthy. |
| B．That a new heart had been found. |
| C．That her family were expecting the operation. |
| D．That her family trusted the doctors' medical level. |
| A．Family support is of great importance. |
| B．Fortune favors those who are optimistic. |
| C．Confidence helps patients overcome difficulties. |
| D．Getting prepared before accepting a treatment matters. |
10 . When patients are discharged (出院) from the hospital, effective summaries from doctors’ notes are essential to capture their health status in the medical record. Whereas, most are filled with technical languages that are hard to understand and increase patients’ anxiety.
To address the problem, researchers from New York University (NYU) Langone Health have been testing the capabilities of generative artificial intelligence (AI). It tries to develop likely options for the next word in any sentence based on how most people use words in context on the Internet.
NYU Langone Health received access to the latest tool from a famous tech company to explore generative AI. One of the studies by the researchers published in JAMA Network Open, looked at how well the tool could convert (转换) the text in 50 patient discharge notes into patient-friendly language. Specifically, generative AI made the discharge notes drop from 11th-grade reading level on average to a 6th-grade level.
Two physicians were asked to review the AI discharge summary based on a 6th-grade level. The reviewing physicians awarded 54 percent of the AI-generated discharge notes the best-possible accuracy rating. They also found that 56 percent of notes created by AI were entirely complete. The result signified that even at the current performance level, providers of discharge notes would not have to make a single change in more than half of the AI summaries reviewed.
“That more than half of the AI reports generated are accurate and complete is an amazing start,” said Jonah Zaretsky, associate chief of medicine at NYU Langone Hospital — Brooklyn. “Even at the current level of performance, which we expect to improve shortly, the achievement of the AI tool suggests that it can be taught to recognize subtleties (微妙之处).”
Within the following years, the team expects to launch a pilot program to provide lay language discharge summaries that have been generated by AI and reviewed by physicians to patients on a larger scale.
1. What is generative AI used for by the researchers?| A．Submitting discharge summaries. | B．Accessing patients’ health status. |
| C．Making discharge notes clear to patients. | D．Offering technical languages to doctors. |
| A．Probable predicting. | B．Actual thinking. |
| C．Free imagining. | D．Strict instructing. |
| A．To correct their mistakes. | B．To measure their accuracy. |
| C．To compete with the AI tool. | D．To make up the missing parts. |
| A．Misleading. | B．Dismissive. | C．Challenging. | D．Promising. |
