1. High endurance limit of carburised machine parts is because of the fact that carburisation





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MCQ->High endurance limit of carburised machine parts is because of the fact that carburisation....
MCQ-> Based on the information answer the questions which follow.A consultant to Department of Commerce. Government of Bianca has suggested 30 products which have high export potential. Dora an entrepreneur and prospective exporter notices that these products can be grouped in three ways- Machine made goods, Handmade goods and Intermediate goods. Among these 30 products some products are both machine made and intermediate goods but not handmade goods. Few products have a combination of handmade and machine made goods but not intermediate goods. Some products are handmade and intermediate goods but not machine made goods. Further it is seen that handmade-machine made goods are I less than machine made-intermediate goods. Similarly the total number of handmade-intermediate goods is I less than machine made-intermediate goods. There are just 4 products common across all product groups i.e. machine made-handmade- intermediate goods. Apart from this the number of only handmade goods is same as only machine made goods but less than only intermediate goods. Each product group/combination has at least one product. Dora prefers to export machine made goods and avoid hand made goods. She finds out that only handmade goods are twice the machine made-intermediate goods and the number of only intermediate goods is an even number. Whereas her close friend Sara prefers to export intermediate goods followed by only handmade goods.Sara and Dora prefer to export as many common products as possible in order to understand the regulatory conditions. Keeping their preferences intact, what is the maximum number of common products which can be exported by both of them?
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MCQ-> Read the following passage carefully and answer the questions given below it. Before my many years’ service in a restaurant, I attended a top science university. The year was 2003 and I was finishing the project that would win me my professorship. My fortysecond birthday had made a lonely visit the week before, and I was once again by myself in the flat. Like countless other mornings, I ordered a bagel from the toaster. ‘Yes, sir!’ it replied with robotic relish, and I began the day’s work on the project. It was a magnificent machine, the thing I was makingcapable of transferring the minds of any two beings into each other’s bodies. As the toaster began serving my bagel on to a plate, I realised the project was in fact ready for testing. I retrieved the duck and the catwhich I had bought for this purpose from their containers, and set about calibrating the machine in their direction. Once ready, I leant against the table, holding the bagel I was too excited to eat, and initiated the transfer sequence. As expected, the machine whirred and hummed into action, my nerves tingling at its synthetic sounds. The machine hushed, extraction and injection nozzles poised, scrutinizing its targets. The cat, though, was suddenly gripped by terrible alarm. The brute leapt into the air, flinging itself onto the machine. I watched in horror as the nozzles swung towards me; and, with a terrible, psychedelic whirl of colours, felt my mind wrenched from its sockets. When I awoke, moments later, I noticed first that I was two feet shorter. Then, I realised the lack of my limbs, and finally it occurred to me that I was a toaster. I saw immediately the solution to the situation – the machine could easily reverse the transfer but was then struck by my utter inability to carry this out. After some consideration, using what I supposed must be the toaster’s onboard computer; I devised a strategy for rescue. I began to familiarise myself with my new body : the grill, the bread bin, the speaker and the spring mechanism. Through the device’s rudimentary eye with which it served its creations – I could see the internal telephone on the wall. Aiming carefully, I began propelling slices of bread at it. The toaster was fed by a large stock of the stuff, yet as more and more bounced lamely off the phone, I began to fear its exhaustion. Toasting the bread before launch proved a wiser tactic. A slice of crusty wheat knocked the receiver off its cradle, and the immovable voice of the reception clerk answered. Resisting the urge to exclaim my unlikely predicament, I called from the table : “I’m having a bit of trouble up here, Room 91. Could you lend a hand ?” “Certainly, sir, there’s a burst water pipe on the floor above, I suppose I’ll kill two birds with one stone and sort you out on the way.” The clerk arrived promptly, and after a detailed and horrifying explanation, finally agreed to press the button on the machine and bring me back to my original state.Why did the author believe that he would earn professorship ?
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MCQ-> Read passage carefully. Answer the questions by selecting the most appropriate option (with reference to the passage). PASSAGE 4While majoring in computer science isn't a requirement to participate in the Second Machine Age, what skills do liberal arts graduates specifically possess to contribute to this brave new world? Another major oversight in the debate has been the failure to appreciate that a good liberal arts education teaches many skills that are not only valuable to the general world of business, but are in fact vital to innovating the next wave of breakthrough tech-driven products and services. Many defenses of the value of a liberal arts education have been launched, of course, with the emphasis being on the acquisition of fundamental thinking and communication skills, such as critical thinking, logical argumentation, and good communication skills. One aspect of liberal arts education that has been strangely neglected in the discussion is the fact that the humanities and social sciences are devoted to the study of human nature and the nature of our communities and larger societies. Students who pursue degrees in the liberal arts disciplines tend to be particularly motivated to investigate what makes us human: how we behave and why we behave as we do. They're driven to explore how our families and our public institutions-such as our schools and legal systems-operate, and could operate better, and how governments and economies work, or as is so often the case, are plagued by dysfunction. These students learn a great deal from their particular courses of study and apply that knowledge to today's issues, the leading problems to be tackled, and various approaches for analyzing and addressing those problems. The greatest opportunities for innovation in the emerging era are in applying evolving technological capabilities to finding better ways to solve human problems like social dysfunction and political corruption; finding ways to better educate children; helping people live healthier and happier lives by altering harmful behaviors; improving our working conditions; discovering better ways to tackle poverty; Improving healthcare and making it more affordable; making our governments more accountable, from the local level up to that of global affairs; and finding optimal ways to incorporate intelligent, nimble machines into our work lives so that we are empowered to do more of the work that we do best, and to let the machines do the rest. Workers with a solid liberal arts education have a strong foundation to build on in pursuing these goals. One of the most immediate needs in technology innovation is to invest products and services with more human qualities. with more sensitivity to human needs and desires. Companies and entrepreneurs that want to succeed today and in the future must learn to consider in all aspects of their product and service creation how they can make use of the new technologies to make them more humane. Still, many other liberal arts disciplines also have much to provide the world of technological innovation. The study of psychology, for example, can help people build products that are more attuned to our emotions and ways of thinking. Experience in Anthropology can additionally help companies understand cultural and individual behavioural factors that should be considered in developing products and in marketing them. As technology allows for more machine intelligence and our lives become increasingly populated by the Internet of things and as the gathering of data about our lives and analysis of it allows for more discoveries about our behaviour, consideration of how new products and services can be crafted for the optimal enhancement of our lives and the nature of our communities, workplaces and governments will be of vital importance. Those products and services developed with the keeneSt sense of how they' can serve our human needs and complement our human talents will have a distinct competitive advantage. Much of the criticism of the liberal arts is based on the false assumption that liberal arts students lack rigor in comparison to those participating in the STEM disciplines and that they are 'soft' and unscientific whereas those who study STEM fields learn the scientific method. In fact the liberal arts teach many methods of rigorous inquiry and analysis, such as close observation and interviewing in ways that hard science adherents don't always appreciate. Many fields have long incorporated the scientific method and other types of data driven scientific inquiry and problem solving. Sociologists have developed sophisticated mathematical models of societal networks. Historians gather voluminous data on centuries-old household expenses, marriage and divorce rates, and the world trade, and use data to conduct statistical analyses, identifying trends and contributing factors to the phenomena they are studying. Linguists have developed high-tech models of the evolution of language, and they've made crucial contributions to the development of one of the technologies behind the rapid advance of automation- natural language processing, whereby computers are able to communicate with the, accuracy and personality of Siri and Alexa. It's also important to debunk the fallacy that liberal arts students who don't study these quantitative analytical methods have no 'hard' or relevant skills. This gets us back to the arguments about the fundamental ways of thinking, inquiring, problem solving and communicating that a liberal arts education teaches.What is the central theme of the passage?
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