1 . Home prices remained divergent in China during December, with some of the first-tier cities recording price drops, while second and third-tier cities saw increases due to the varied market policies, the National Bureau of Statistics said on Thursday.

Newly built commercial housing prices in the first-tier cities－namely Beijing, Shanghai, Guangzhou and Shenzhen－remained stable in December, while those in second and third- tier cities rose by 0.6 percent and 0.5 percent respectively from November 2017.

The same trend was witnessed in second-hand home prices, which dropped slightly by 0.1 percent in first-tier cities and rose 0.3 percent in both second and third-tier cities in December, said Liu Jianwei, a senior statistician at the NBS.

In September 2017, the local governments of several regional capitals launched new restrictions to further slow home sales, in response to the central government’s call to end housing speculation and cool the red-hot housing market in certain cities.

As housing regulations in larger cities have tightened, investors have started looking for opportunities in medium-sized and small cities, thus causing a noticeable home price increase in third-tier cities.

Fan Hengshan, deputy secretary-general of the National Development and Reform Commission, said at an economic forum on Thursday that housing prices in third and fourth-tier cities have risen too fast, and this needs to be monitored carefully.

“The home price increase in third-tier cities will have a fairly large impact, considering that a large part of China’s gross domestic product and population come from these cities,” said Zhang Zhiwei, chief economist and head of equity strategy for China at Deutsche Bank, during a recent media briefing.

Zhang estimated that third-tier cities accounted for a major part of Chinese residents’ 50 trillion yuan wealth gains, driven by rising home prices in 2017.

“Despite a relatively large increase in home prices in third-tier cities, studies have found that at the end of 2017, local residents in 85 third-tier cities need to save four to eight years of their income to buy a home, meaning that house price to income ratios are not too high in these cities,” he said.

1. What does the underlined word “divergent” in the first paragraph mean?

A．Diverse	B．Stable
C．Increasing	D．Decreasing

2. What do we know from the passage?

A．Housing prices in the first-tier cities dropped slightly in December.

B．Home prices in medium-sized and small cities remained stable in November.

C．National housing prices rose in most time of 2017.

D．The second-hand home prices dropped slightly in the first-tier cities while rose in both second and third-tier cities in November.

3. Why did the housing prices in the third and fourth-tier cities rise fast?

A．Because the local governments didn’t launch any restrictions and regulations.

B．Because the governments in the first-tier cities have carried out tougher measures.

C．Because there are more people living in these cities.

D．Because people there saved more money than other cities.

4. Where is the passage probably taken from?

A．A science book.	B．A newspaper.
C．A fashion magazine.	D．A text book.

2 . 阅读下面短文，在空白处填入1个适当的单词或括号内单词的正确形式。

Up to 82 percent of children with healthy mothers are not easy to be obese（肥胖的）, according to research. A mother,     1     has a healthy weight, exercises regularly, eats a healthy diet, doesn’t smoke and only     2    (drink) wine in moderation, is significantly less likely     3    (have)a fat child, scientists say.

And research suggests it could be more to do with nurture(养育)    4     nature, as a mother's lifestyle appears     5    (direct) linked to the health of her child. When both mother and child follow a healthy lifestyle, the risk of obesity     6    (reduce)even more, the study of more than 24,000 children found.

The study examined the medical history and lifestyles of more than 24,000 children aged nine     7     fourteen, born to almost 17,000 women in the US. Researchers looked at the link between overall mother health and likelihood of a child     8    (be) obese.

The mother's health was judged on her height-to-weight ratio(比例), her diet, amount of physical     9    (active), smoking status and how much alcohol she drank. A healthy weight and diet, regular exercise, no smoking and moderate drinking all reduce the chance of a woman having     10     obese child.