Cordless Blade 5 is a great one for sheer suction (吸力) power. It’s easy to use it under furniture and it works well on all surfaces. The dust tank holds 0.7 litres and it comes with two batteries for 90 minutes of charge. If you’re on a budget, the Blade 4 is a good option (now £250, from £450; vax. co.uk)
MIele Complete C3At 890 W, this corded vacuum is “exceptionally powerful” and its “Air Clean” filtration traps even tiny particles. It has a 12m radius (半径) and comes with three tools, stored in the body (£219; miele.co.uk)
Shark CZ500UKT Duo CleanThis 880 W corded vacuum has remarkable suction power. It can switch between cleaning carpets or hard floors, and has an anti-hair-wrap brush roll and an LED light to show up dust (£330; sharkclean.co.uk)
Dyson Ball Animal Multi-floorUnusually easy to move or turn skillfully thanks to its responsive rollerball, this bagless vacuum delivers strong suction and is great for getting up pet hair. A bit heavy at 7.4kg, it has a ten-metre cord and 3.5-litre caddy, which ejects at the touch of a button (£380; dyson.co.uk)
Henry HVR 160-11A long-standing favourite, the Henry is famously strong and great value. It has a large six-litre dust bag, and packs 620W of power. Its cord is a generous ten metres, and it has a long 2.2m hose, which is useful for cleaning up high and under sofas (£130; myhenry.com).
1. Which of the following features its visibility during cleaning?A.MIele Complete C3. | B.Henry HVR 160-11. |
C.Dyson Ball Animal Multi-floor. | D.Shark CZ500UKT Duo Clean. |
A.It is the cheapest. | B.It has no cord. |
C.It has the strongest suction power. | D.It can easily get up pet hair. |
A.Science. | B.News. |
C.Advertisement. | D.Entertainment. |
2 . A decade ago, the day before Christmas, my mother announced we were no longer celebrating Christmas. “Boys, go to find a big
“Mom, we don’t want to
Ten years later, with the chill of the air and the
“It’s Seagull Day!” The kids said
My social media posts and pictures have
A.branch | B.beach | C.skin | D.stick |
A.plant | B.decorate | C.water | D.feed |
A.lost | B.thin | C.hungry | D.extinct |
A.food | B.care | C.rain | D.sunshine |
A.follow | B.hurt | C.praise | D.please |
A.with confusion | B.in secret | C.with pride | D.in tears |
A.opposition | B.fight | C.support | D.preparation |
A.snow | B.sea | C.soil | D.sand |
A.protect | B.celebrate | C.spoil | D.create |
A.broken | B.bleeding | C.spreading | D.frozen |
A.excitement | B.disappointment | C.surprise | D.relief |
A.hide | B.throw | C.store | D.put |
A.got away | B.set out | C.stood still | D.broke up |
A.ready | B.full | C.cold | D.empty |
A.admired | B.imagined | C.reported | D.publicized |
A.unhappily | B.curiously | C.aimlessly | D.slowly |
A.expectantly | B.hopefully | C.confidently | D.angrily |
A.new | B.imaginary | C.long | D.essential |
A.inspired | B.raised | C.answered | D.removed |
A.congratulate | B.comfort | C.encourage | D.test |
3 . The blue whale holds the current record as the largest creature to live on Earth, but a collection of bones found in Per u might break that record. Researchers have identified a whale species called Perucetus colossus in the publication Nature. Bones from this species, including backbones weighing over 100 kilograms each and ribs measuring nearly 1. 4 meters long, were found by Mario Urbina in 2012 in the Ica desert.
The area where the bones were found was once underwater, making it a rich source of ocean fossils. The find resulted in 13 backbone vertebrae (脊椎), four ribs and a hip bone. The large fossils date back to around 39 million years ago. Alberto Collareta, a lead writer of the study, described the fossils as unlike anything he had ever seen before.
The researchers used 3D scanners to study the bones’ surface and also looked inside. Based on the incomplete skeleton, the team estimated that the ancient creature weighed somewhere between 85 and 340 metric tons. Comparatively, the largest blue whales found fell within that range, at around 180 metric tons. The Perucetus colossus measured about 20meters long, while blue whales can reach 30 meters in length. This means the newly discovered whale was “feasibly the heaviest animal ever,” said Alberto Collareta. But he added, “it was most likely not the longest animal ever.”
Interestingly, the density and weight of the Perucetus colossus’ bones were much higher than those of a blue whale. This suggests that the colossal whale may have inhabited shallower coastal waters, similar to other coastal animals with heavy bones.
Another researcher, Amson, said, without the skull, it is hard to know what the whale was eating to support such a huge body. It is possible that the large creature sought food along the seafloor, the researchers said. Or it could have eaten up tons of smaller sea life in the ocean. Swiesen, a paleontologist, added that he would not be surprised “if this thing actually fed in a totally different way that we would never imagine.”
1. What do Paragraphs 1 and 2 say?A.Massive prehistoric oceanic bones were unearthed in Peru. |
B.Peru was considered to be a place rich in ancient whales. |
C.Researchers found the bones underwater in Peru waters. |
D.A new finding of bones was made about the whale family. |
A.Barely. | B.Possibly. |
C.Actually. | D.Undoubtedly. |
A.Its weight. | B.Its length. |
C.Its feeding behavior. | D.Its natural habitat. |
A.An Ancient Whale May Be Heaviest Animal Ever Found |
B.A Whale Species Uncovers the Diversity of Marine Life |
C.The Fossil Discovery in Peru Puzzles World Researchers |
D.The Backbones Give New Insights about the Blue Whale |
1. How does the woman look in the blue suit?
A.Casual. | B.Serious. | C.Old. |
A.Husband and wife. | B.Salesman and customer. | C.Boss and secretary. |
5 . Humans have sailed the oceans’ surfaces for millennia, but their depths remain effectively uncharted. Only about a quarter of the seafloor has been mapped at high performance. Maps of most regions display only approximate depths and often miss entire underwater mountains or valleys.
So a group of researchers has selected some deep-diving experts: Elephant Seals and Weddell Seals. Scientists have been placing trackers (跟踪装置) on these marine mammals around Antarctica compared these divers’ location and depth data with some of the less detailed seafloor maps. They for years, gathering data on ocean temperature and salinity. For a new study, the researchers spotted places where the seals (海豹) dove deeper than should have been possible according to the maps — meaning the existing depth estimates were inaccurate.
In eastern Antarctica’s Vincennes Bay, the diving seals helped the scientists find a large, hidden underwater valley. An Australian research ship called the RSV Nuyina later measured the valley’s exact depth using sonar (声呐). “The seals discovered the valley, and the ship confirmed it,” says Clive McMahon, a researcher at the Integrated Marine Observing System in Australia and a co-author of the new study.
But seals can’t map the entire ocean floor. The trackers used in the study could mark a seal’s geographical location only within about 1.5 miles, which allows for useful but not exactly high-resolution data. Plus, because the seals don’t always dive to the bottom of the ocean, they can show only where the bottom is deeper than in existing maps — not shallower. McMahon notes that scientists could improve on these data by means of more precise GPS trackers and analyzing the seals’ diving patterns to determine whether they have reached the seafloor or simply stopped going down.
The current seal-dive data can still be valuable for an important task, says Anna Wahlin, an oceanographer at the University of Gothenburg in Sweden. The deep ocean around Antarctica is warmer than the icy waters at the surface, and seafloor valleys can allow that warmer water to flow to the ice along the continent’s coast, Wahlin explains. To predict how Antarctica’s ice will melt, scientists will need to know where those valleys are and how deep they go.
1. What can be inferred from the first paragraph?A.Humans are at the mercy of the oceans. |
B.The oceans are too vast to describe. |
C.Humans have taken charge of the oceans. |
D.The oceans call for further exploration. |
A.By equipping the seals with advanced devices. |
B.By following the seals to the deeper seafloor. |
C.By using sonar to measure the sea directly. |
D.By checking the previous seafloor maps. |
A.Train the seals’ diving ability. |
B.Update the existing ocean map. |
C.Turn to more exact GPS trackers. |
D.Seek cooperation opportunities. |
A.It’s greatly creative. | B.It’s a little incredible. |
C.It’s highly significant. | D.It’s a little impractical. |
6 . Many robots track objects by “sight” as they work with them, but optical (光学的) sensors can’t take in an item’s entire shape when it’s in the dark or partially blocked from view. Now a new low-cost technique lets a robotic hand “feel” an unfamiliar object’s form — and skillfully handle it baesd on this information alone.
University of California, San Diego, roboticist Wang Xaolong and his team wanted to find out whether complex actions could be achieved in robotics using only simple touch data.
The researchers attached 16 contact sensor each costing about $12, to the palm and fingers of a four-fingered robot hand. These sensors simply indicate it an object is touching the hand or nor. “While one sensor doesn’t catch much, a lot of them can help you capture different aspects of the object? Wang says. In this case, the robot’s task was to rotate (旋转) items placed in its palm.
They first ran simulations (模拟) to collect enough touch data as a virtual robot hand practiced rotating objects, including balls and other irregular objects. Using information from each sensor, the team built a computer model that determines an object’s position at every step of the handling process and moves the fingers to rotate it smoothly and stably.
Next, they transferred this capability to operate a real robot hand, which successfully control previously unfamiliar objects such as apples, tomatoes, soup cans and rubber ducks. Transferring the computer model to the real world was relatively easy because the sensor data were so simple. However, New York University’s Leveler Pinto, who studies robots’ interactions, wonders whether the system would fail at more complicated tasks.
So, in future work, Wang’s group aims to tackle more complex movements as well as to add sensors in places such as the sides of the fingers. “This means that there will be more accurate information from touching that allows reconstructing the object shape,” Wang says. The researchers will also try adding vision to complement touch data for handling complicated shape.
1. What was the intention of the research conducted by Wang Xiaolong’s group?A.To develop a robot with advanced optical sensors. |
B.To explore the use of touch data in complex robotic actions. |
C.To investigate the impact of lighting on robotic recognition. |
D.To create a robotic hand to take hold of familiar objects. |
A.The function of robot hands in Wang’s research. |
B.The way that robot hands capture different objects. |
C.The type of contact sensor attached to the robot hand. |
D.The working principle of robot hands in Wang’s research. |
A.They used real-world objects. | B.They used complex optical sensors |
C.They relied on vision-based technology. | D.They conducted simulations with a robot hand |
A.Unclear. | B.Doubtful. | C.Positive. | D.Dismissive. |
1. 劳动周的意义;
2. 劳动周的活动;
3. 呼吁参加。
注意:
1. 词数100左右;
2. 可以适当增加细节,以使行文连贯。
Dear fellow students,
_____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Li Hua
增加:在缺词处加一个漏字符号(∧)并在其下面写出该加的词。
删除:把多余的词用斜线(\)划掉。
修改:在错的词下划一横线,并在该词下面写出修改后的词。
注意:1. 每处错误及其修改均仅限一词;
2. 只允许修改10处, 多者(从第11处起)不计分。
During the vacation, I undertook the challenge of learn a new skill: bicycling. I begin with the basic skills of keeping balance and pedaling and gradual improved my command of controlling and navigating.
I enjoyed me and felt the excitement of smoothly moving on two wheels. Beside, conquering my fears and building my cycling abilities led to a sense of achievements.
In the fact, mastering the skill of cycling reminds me the importance of perseverance, bravery and independence. All the qualities are that we need in our future development. Every daily experience enrich my life and connects me with like-minded individuals.
Sichuanese is China’s most thrilling regional cuisine. Although it’s most famous for
Sichuanese
While Sichuan pepper is
In Sichuanese dialect, chilies
10 . I was a lecturer for 10 years when I met my greatest teacher. It wasn’t in a
She was born with congenital cerebral palsy (先天性脑瘫). At four, she still
At age 5, she won a battle against cancer. Kelsey
At six, she wished to take ballet lessons. I’m embarrassed to admit how much this
I worried about the
Kelsey danced with
Now a seventh grader, Kelsey continues to embrace her life and teach us invaluable
Kelsey, I’ll never have a greater teacher!
1.A.classroom | B.family | C.kindergarten | D.restaurant |
A.managed | B.continued | C.refused | D.struggled |
A.intense | B.challenging | C.impossible | D.confusing |
A.resistance | B.persistence | C.assistance | D.acceptance |
A.gesture | B.movement | C.timetable | D.interest |
A.adapted | B.faced | C.lived | D.coped |
A.listed | B.chosen | C.cast | D.named |
A.comedy | B.media | C.music | D.game |
A.uninterruptedly | B.conveniently | C.unnoticeably | D.exhaustedly |
A.dressed | B.lost | C.nursed | D.adjusted |
A.frightened | B.excited | C.ashamed | D.encouraged |
A.attitudes | B.passions | C.feelings | D.thoughts |
A.guiding | B.teasing | C.complaining | D.admiring |
A.turn down | B.light up | C.give up | D.break down |
A.connected with | B.brought up | C.carried out | D.canceled out |
A.abandon | B.worry | C.ease | D.care |
A.discouraged | B.unaffected | C.influenced | D.unbalanced |
A.switched | B.returned | C.stuck | D.related |
A.success | B.result | C.hesitation | D.reason |
A.skills | B.rules | C.plays | D.lessons |