In the following question, out of the given four alternatives, select the one which best expresses the meaning of the given word.Nascent<br/> ?->(Show Answer!)

1. In the following question, out of the given four alternatives, select the one which best expresses the meaning of the given word.Nascent

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MCQ-> Read the following passage and answer the questions that follow. Certain words and phrases are printed in bold to help you locate them while answering some of the questions: After a stringent regime of autarky and command and control economy, from 1956 to 1975, India started on a slow path of reintegration into the world economy, albeit in a nascent form. Empirical comparison of the period before and after liberalization demonstrates that, instead of economic stagnation, India achieved a marked acceleration in economic growth after liberalization. Indeed, India broke the barrier of stagnation that had been the lot of the country before globalization. India’s rate of growth from 1975 to 2007 has been over 5.5 percent, compared to the derisively termed “Hindu” rate of growth of 3.4 percent over the period 1956 to 1975, and especially to the pathetic 2.6 Percent over the decade prior to the nascent liberalization in 1975. In the dozen years from 1995 to 2007 the growth rate has been over 6.5 percent; during the last four years India has sustained an unprecedented average growth rate of over 8 percent. It is difficult to exaggerate this accomplishment in growth acceleration. It has provided additional resources not only for investment in human capital but also for expenditures on the social sectors and poverty alleviation. Besides, the economic dynamism associated with this growth has imparted a self-confidence for successfully building a consolidated nation-state. It has indeed transformed a country that had been mocked as “the sick man of Asia” - an inveterate supplicant for foreign aid – into a credible contender for a major role in the balance of power in Asia. Similarly, far from the specter of deindustrialization held out by critics, foreign imports have not swamped Indian industry after tariffs were lowered as part of India’s reintegration into the world economy. Rather, Indian industry has grown at a higher rate than it had prior to liberalization of the economy. The growth rate of manufacturing has been around 6.5 percent since 1975 and close to 7 percent during the dozen years up to 2006. Select the word that is MOST OPPOSITE to the given word, as used in the passage: Acceleration
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MCQ-> In the following question, out of the given four alternatives, select the one which best expresses the meaning of the given word.Nascent
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MCQ-> In the following question, out of the four alternatives, select the word opposite in meaning to the word given.In the following question, out of the four alternatives, select the word opposite in meaning to the word given. Eulogistic....

MCQ-> Read the passage carefully and answer the given questionsThe complexity of modern problems often precludes any one person from fully understanding them. Factors contributing to rising obesity levels, for example, include transportation systems and infrastructure, media, convenience foods, changing social norms, human biology and psychological factors. . . . The multidimensional or layered character of complex problems also undermines the principle of meritocracy: the idea that the ‘best person’ should be hired. There is no best person. When putting together an oncological research team, a biotech company such as Gilead or Genentech would not construct a multiple-choice test and hire the top scorers, or hire people whose resumes score highest according to some performance criteria. Instead, they would seek diversity. They would build a team of people who bring diverse knowledge bases, tools and analytic skills. . . .Believers in a meritocracy might grant that teams ought to be diverse but then argue that meritocratic principles should apply within each category. Thus the team should consist of the ‘best’ mathematicians, the ‘best’ oncologists, and the ‘best’ biostatisticians from within the pool. That position suffers from a similar flaw. Even with a knowledge domain, no test or criteria applied to individuals will produce the best team. Each of these domains possesses such depth and breadth, that no test can exist. Consider the field of neuroscience. Upwards of 50,000 papers were published last year covering various techniques, domains of enquiry and levels of analysis, ranging from molecules and synapses up through networks of neurons. Given that complexity, any attempt to rank a collection of neuroscientists from best to worst, as if they were competitors in the 50-metre butterfly, must fail. What could be true is that given a specific task and the composition of a particular team, one scientist would be more likely to contribute than another. Optimal hiring depends on context. Optimal teams will be diverse.Evidence for this claim can be seen in the way that papers and patents that combine diverse ideas tend to rank as high-impact. It can also be found in the structure of the so-called random decision forest, a state-of-the-art machine-learning algorithm. Random forests consist of ensembles of decision trees. If classifying pictures, each tree makes a vote: is that a picture of a fox or a dog? A weighted majority rules. Random forests can serve many ends. They can identify bank fraud and diseases, recommend ceiling fans and predict online dating behaviour. When building a forest, you do not select the best trees as they tend to make similar classifications. You want diversity. Programmers achieve that diversity by training each tree on different data, a technique known as bagging. They also boost the forest ‘cognitively’ by training trees on the hardest cases - those that the current forest gets wrong. This ensures even more diversity and accurate forests.Yet the fallacy of meritocracy persists. Corporations, non-profits, governments, universities and even preschools test, score and hire the ‘best’. This all but guarantees not creating the best team. Ranking people by common criteria produces homogeneity. . . . That’s not likely to lead to breakthroughs.Which of the following conditions, if true, would invalidate the passage’s main argument?
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