1. Over drive is used to :

Answer: Step up the gear ratio.

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Crunched up toast like charcoal from having been toasted upon the flame, with marmalade over the burn.8:30: he rode into the fields with the local officials and everyone else in the village going along for fun. Followed by an orderly holding an umbrella over his head to shield him from the glare, he measured the fields and checked to make sure his yield estimate matched the headman's statement. Farms were growing less than ten maunds an acre of rice or wheat, and at two rupees a maund, every single man in a village, sometimes, was in debt to the bania. (Nobody knew that Jemubhai himself was noosed, of course, that long ago in the little town of Piphit in Gujarat, money-lenders had sniffed out in him a winning combination of ambition and poverty ... that they still sat waiting cross-legged on a soiled mat in the market, snapping their toes, cracking their knuckles in anticipation of repayment .... ) 2.00: after lunch, the judge sat at his desk under a tree to try cases, usually in a cross mood, for he disliked the informality, hated the splotch of leaf shadow on him imparting an untidy mongrel look. Also, there was a worse aspect of contamination and corruption: he heard cases in Hindi, but they were recorded in Urdu by the stenographer and translated by the judge into a second record in English, although his own command of Hindi and Urdu was tenuous; the witnesses who couldn't read at all put their thumbprints at the bottom of "Read Over and Acknowledged Correct", as instructed. Nobody could be sure how much of the truth had fallen between languages, between languages and illiteracy; the clarity that justice demanded was nonexistent. Still, despite the leaf shadow and language confusion, he acquired a fearsome reputation for his speech that seemed to belong to no language at all, and for his face like a mask that conveyed something beyond human fallibility. The expression and manner honed here would carry him, eventually, all the way to the high court in Lucknow where, annoyed by lawless pigeons shuttlecocking about those tall, shadowy halls, he would preside, white powdered wig over white powdered face, hammer in hand.His photograph, thus attired, thus annoyed, was still up on the wall, in a parade of history glorifying the progress of Indian law and order. 4:30: tea had to be perfect, drop scones made in the frying pan. He would embark on them with forehead wrinkled, as if angrily mulling over something important, and then, as it would into his retirement, the draw of the sweet took over, and his stern work face would hatch an expression of tranquillity.5:30: out he went into the countryside with his fishing rod or gun. The countryside was full of game; lariats of migratory birds lassoed the sky in October; quail and partridge with lines of babies strung out behind whirred by like nursery toys that emit sound with movement; pheasant - fat foolish creatures, made to be shot - went scurrying through the bushes. The thunder of gunshot roiled away, the leaves shivered, and he experienced the profound silence that could come only after violence. 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MCQ-> Read the following passage carefully and answer’ the questions. Certain words/phrases are given in bold to help you locate them while answering some of the questions.Since its creation in the 17th century, insurers have amassed policies in each class of risk they cover. Thanks to technology, insurers now have access to more and more information about the risks that individuals run. Car insurers have begun to set premiums based on how actual drivers behave, with “telematic” tracking devices to show how often they speed or slam, on the brakes. Analysts at Morgan Stanley, a bank, predict that damage to insured homes will fall by 4060% if smart sensors are installed to monitor, say, frayed electrical wiring. Some health insurers provide digital fitness bands to track policyholders’ vital signs— and give discounts if they lead a healthier life. But the data can °lily go so far. Even the safest driver can be hit by a falling tree; people in connected homes still fall off ladders, but the potential gains from smart insurance are  large. First, giving people better insights into how they are managing risk should help them change their behaviour for the better. Progressive, an American car insurer, tells customers who use its trackers where they tend to drive unsafely; they crash less often as a result. Second, pricing will become keener for consumers. The insurance industry made $338 billion in profits last year. More accurate risk assessment should result in lower premiums for many policyholders. Third, insurers should be able to spot fraud more easily, by using data to verify claims.But two worries stand out. One is a fear that insurers will go from being companies you hope never to deal with to ones that watch your every move. The other, thornier problem is that insurers will cherry pick the good risks, leaving some people without a safety net or to be taken care of by the state. Forgone privacy is the price the insured pay for receiving personalised pricing. Many people are indeed willing to share their data, but individuals should always have to opt in to do so. Some worry that this safeguard may not be enough; the financial costs of not sharing data may be so great that people have no real choice over whether to sign up. The second concern is the worry that more precise underwriting will create a class of uninsurable people, selected out of insurers’ businesses because they are too high a risk. For some types of cover, that would be a reasonable outcome. People who choose to drive like maniacs should have a hard time getting insurance. By the same token, it makes sense to offer rewards, in the form of discounts to premiums, to customers who behave well. Incentivising people to eat better, exercise regularly, drink in moderation and avoid smoking would reap huge health dividends. Where things get harder is with risks that individuals can not control. There are few things that people have less choice about than their genes. One option is to distort the market by requiring insurers to be blind to genetic data. In 2011, for example, Europe banned insurers from using gender to calculate annuities. Now that a man’s shorter lifespans are no longer taken into account that has led to lower payments. Until the interplay between nature and nurture is better understood, it is right to be cautious. Insurers should be able to take note of customers’ behaviour, but not exploit information from genetic testing. However, as data analysis and the understanding of genetics improve, that line will only become harder to hold.Which of the following can be said about the insurance industry ?
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