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1 experimental machine
Горное дело: экспериментальная машина -
2 experimental
experimental adj [design, method, music, scheme, theatre, psychology] expérimental ; [season, week] d'essai ; [laboratory] d'essais ; [novelist, writing] d'avant-garde ; experimental model, experimental machine prototype m ; on an experimental basis à titre d'expérience. -
3 experimental proof
English-Russian big polytechnic dictionary > experimental proof
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4 experimental design bureau of machine building
Химическое оружие: опытно-конструкторское бюро машиностроенияУниверсальный англо-русский словарь > experimental design bureau of machine building
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5 Turing machine
s.máquina de Turing, máquina experimental de Alan Turing que debía determinar si la computadora era inteligente. -
6 ADVANCED MACHINE EXPERIMENTAL
مركبة تجريبية مُطورةEnglish-Arabic military dictionary > ADVANCED MACHINE EXPERIMENTAL
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7 Bibliography
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8 Cartwright, Revd Edmund
[br]b. 24 April 1743 Marnham, Nottingham, Englandd. 30 October 1823 Hastings, Sussex, England[br]English inventor of the power loom, a combing machine and machines for making ropes, bread and bricks as well as agricultural improvements.[br]Edmund Cartwright, the fourth son of William Cartwright, was educated at Wakefield Grammar School, and went to University College, Oxford, at the age of 14. By special act of convocation in 1764, he was elected Fellow of Magdalen College. He married Alice Whitaker in 1772 and soon after was given the ecclesiastical living of Brampton in Derbyshire. In 1779 he was presented with the living of Goadby, Marwood, Leicestershire, where he wrote poems, reviewed new works, and began agricultural experiments. A visit to Matlock in the summer of 1784 introduced him to the inventions of Richard Arkwright and he asked why weaving could not be mechanized in a similar manner to spinning. This began a remarkable career of inventions.Cartwright returned home and built a loom which required two strong men to operate it. This was the first attempt in England to develop a power loom. It had a vertical warp, the reed fell with the weight of at least half a hundredweight and, to quote Gartwright's own words, "the springs which threw the shuttle were strong enough to throw a Congreive [sic] rocket" (Strickland 19.71:8—for background to the "rocket" comparison, see Congreve, Sir William). Nevertheless, it had the same three basics of weaving that still remain today in modern power looms: shedding or dividing the warp; picking or projecting the shuttle with the weft; and beating that pick of weft into place with a reed. This loom he proudly patented in 1785, and then he went to look at hand looms and was surprised to see how simply they operated. Further improvements to his own loom, covered by two more patents in 1786 and 1787, produced a machine with the more conventional horizontal layout that showed promise; however, the Manchester merchants whom he visited were not interested. He patented more improvements in 1788 as a result of the experience gained in 1786 through establishing a factory at Doncaster with power looms worked by a bull that were the ancestors of modern ones. Twenty-four looms driven by steam-power were installed in Manchester in 1791, but the mill was burned down and no one repeated the experiment. The Doncaster mill was sold in 1793, Cartwright having lost £30,000, However, in 1809 Parliament voted him £10,000 because his looms were then coming into general use.In 1789 he began working on a wool-combing machine which he patented in 1790, with further improvements in 1792. This seems to have been the earliest instance of mechanized combing. It used a circular revolving comb from which the long fibres or "top" were. carried off into a can, and a smaller cylinder-comb for teasing out short fibres or "noils", which were taken off by hand. Its output equalled that of twenty hand combers, but it was only relatively successful. It was employed in various Leicestershire and Yorkshire mills, but infringements were frequent and costly to resist. The patent was prolonged for fourteen years after 1801, but even then Cartwright did not make any profit. His 1792 patent also included a machine to make ropes with the outstanding and basic invention of the "cordelier" which he communicated to his friends, including Robert Fulton, but again it brought little financial benefit. As a result of these problems and the lack of remuneration for his inventions, Cartwright moved to London in 1796 and for a time lived in a house built with geometrical bricks of his own design.Other inventions followed fast, including a tread-wheel for cranes, metallic packing for pistons in steam-engines, and bread-making and brick-making machines, to mention but a few. He had already returned to agricultural improvements and he put forward suggestions in 1793 for a reaping machine. In 1801 he received a prize from the Board of Agriculture for an essay on husbandry, which was followed in 1803 by a silver medal for the invention of a three-furrow plough and in 1805 by a gold medal for his essay on manures. From 1801 to 1807 he ran an experimental farm on the Duke of Bedford's estates at Woburn.From 1786 until his death he was a prebendary of Lincoln. In about 1810 he bought a small farm at Hollanden near Sevenoaks, Kent, where he continued his inventions, both agricultural and general. Inventing to the last, he died at Hastings and was buried in Battle church.[br]Principal Honours and DistinctionsBoard of Agriculture Prize 1801 (for an essay on agriculture). Society of Arts, Silver Medal 1803 (for his three-furrow plough); Gold Medal 1805 (for an essay on agricultural improvements).Bibliography1785. British patent no. 1,270 (power loom).1786. British patent no. 1,565 (improved power loom). 1787. British patent no. 1,616 (improved power loom).1788. British patent no. 1,676 (improved power loom). 1790, British patent no. 1,747 (wool-combing machine).1790, British patent no. 1,787 (wool-combing machine).1792, British patent no. 1,876 (improved wool-combing machine and rope-making machine with cordelier).Further ReadingM.Strickland, 1843, A Memoir of the Life, Writings and Mechanical Inventions of Edmund Cartwright, D.D., F.R.S., London (remains the fullest biography of Cartwright).Dictionary of National Biography (a good summary of Cartwright's life). For discussions of Cartwright's weaving inventions, see: A.Barlow, 1878, The History and Principles of Weaving by Hand and by Power, London; R.L. Hills, 1970, Power in the Industrial Revolution, Manchester. F.Nasmith, 1925–6, "Fathers of machine cotton manufacture", Transactions of theNewcomen Society 6.H.W.Dickinson, 1942–3, "A condensed history of rope-making", Transactions of the Newcomen Society 23.W.English, 1969, The Textile Industry, London (covers both his power loom and his wool -combing machine).RLHBiographical history of technology > Cartwright, Revd Edmund
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9 Maxim, Sir Hiram Stevens
[br]b. 5 February 1840 Brockway's Mills, Maine, USAd. 24 November 1916 Streatham, London, England[br]American (naturalized British) inventor; designer of the first fully automatic machine gun and of an experimental steam-powered aircraft.[br]Maxim was born the son of a pioneer farmer who later became a wood turner. Young Maxim was first apprenticed to a carriage maker and then embarked on a succession of jobs before joining his uncle in his engineering firm in Massachusetts in 1864. As a young man he gained a reputation as a boxer, but it was his uncle who first identified and encouraged Hiram's latent talent for invention.It was not, however, until 1878, when Maxim joined the first electric-light company to be established in the USA, as its Chief Engineer, that he began to make a name for himself. He developed an improved light filament and his electric pressure regulator not only won a prize at the first International Electrical Exhibition, held in Paris in 1881, but also resulted in his being made a Chevalier de la Légion d'honneur. While in Europe he was advised that weapons development was a more lucrative field than electricity; consequently, he moved to England and established a small laboratory at Hatton Garden, London. He began by investigating improvements to the Gatling gun in order to produce a weapon with a faster rate of fire and which was more accurate. In 1883, by adapting a Winchester carbine, he successfully produced a semi-automatic weapon, which used the recoil to cock the gun automatically after firing. The following year he took this concept a stage further and produced a fully automatic belt-fed weapon. The recoil drove barrel and breechblock to the vent. The barrel then halted, while the breechblock, now unlocked from the former, continued rearwards, extracting the spent case and recocking the firing mechanism. The return spring, which it had been compressing, then drove the breechblock forward again, chambering the next round, which had been fed from the belt, as it did so. Keeping the trigger pressed enabled the gun to continue firing until the belt was expended. The Maxim gun, as it became known, was adopted by almost every army within the decade, and was to remain in service for nearly fifty years. Maxim himself joined forces with the large British armaments firm of Vickers, and the Vickers machine gun, which served the British Army during two world wars, was merely a refined version of the Maxim gun.Maxim's interests continued to occupy several fields of technology, including flight. In 1891 he took out a patent for a steam-powered aeroplane fitted with a pendulous gyroscopic stabilizer which would maintain the pitch of the aeroplane at any desired inclination (basically, a simple autopilot). Maxim decided to test the relationship between power, thrust and lift before moving on to stability and control. He designed a lightweight steam-engine which developed 180 hp (135 kW) and drove a propeller measuring 17 ft 10 in. (5.44 m) in diameter. He fitted two of these engines into his huge flying machine testrig, which needed a wing span of 104 ft (31.7 m) to generate enough lift to overcome a total weight of 4 tons. The machine was not designed for free flight, but ran on one set of rails with a second set to prevent it rising more than about 2 ft (61 cm). At Baldwyn's Park in Kent on 31 July 1894 the huge machine, carrying Maxim and his crew, reached a speed of 42 mph (67.6 km/h) and lifted off its rails. Unfortunately, one of the restraining axles broke and the machine was extensively damaged. Although it was subsequently repaired and further trials carried out, these experiments were very expensive. Maxim eventually abandoned the flying machine and did not develop his idea for a stabilizer, turning instead to other projects. At the age of almost 70 he returned to the problems of flight and designed a biplane with a petrol engine: it was built in 1910 but never left the ground.In all, Maxim registered 122 US and 149 British patents on objects ranging from mousetraps to automatic spindles. Included among them was a 1901 patent for a foot-operated suction cleaner. In 1900 he became a British subject and he was knighted the following year. He remained a larger-than-life figure, both physically and in character, until the end of his life.[br]Principal Honours and DistinctionsChevalier de la Légion d'Honneur 1881. Knighted 1901.Bibliography1908, Natural and Artificial Flight, London. 1915, My Life, London: Methuen (autobiography).Further ReadingObituary, 1916, Engineer (1 December).Obituary, 1916, Engineering (1 December).P.F.Mottelay, 1920, The Life and Work of Sir Hiram Maxim, London and New York: John Lane.Dictionary of National Biography, 1912–1921, 1927, Oxford: Oxford University Press.See also: Pilcher, Percy SinclairCM / JDSBiographical history of technology > Maxim, Sir Hiram Stevens
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10 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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11 test
test
1. noun1) (a set of questions or exercises intended to find out a person's ability, knowledge etc; a short examination: an arithmetic/driving test.) prueba, examen, test2) (something done to find out whether a thing is good, strong, efficient etc: a blood test.) prueba, examen, test; análisis (de sangre)3) (an event, situation etc that shows how good or bad something is: a test of his courage.) prueba4) (a way to find out if something exists or is present: a test for radioactivity.) ensayo, prueba5) (a test match.) partido internacional
2. verb(to carry out a test or tests on (someone or something): The students were tested on their French; They tested the new aircraft.) probar, examinar; hacer un análisis- test pilot
- test-tube
test1 n examen / pruebatest2 vb testar / probar / comprobar
test sustantivo masculino (pl un examen tipo test a multiple-choice exam
test sustantivo masculino test
test de calidad, quality test ' test' also found in these entries: Spanish: alcoholemia - análisis - control - ensayar - ensayo - evaluación - examen - graduar - lección - negativa - negativo - positiva - positivo - probar - probeta - prueba - psicotécnica - psicotécnico - suficiencia - testar - verificación - admisión - bebé - citología - comprobación - convivencia - dar - ejercicio - interrogación - Papanicolau - piloto - resistencia - seguro - sondeo - tentar - verificar English: accurately - acid test - aptitude test - attest - blood test - breath test - detest - driving test - ease - polygraph - protest - protester - review - score - smear test - test - test case - test drive - test pilot - test run - test-tube baby - testament - testicle - testify - testimonial - testimony - worried - answer - blood - blow - Breathalyzer - dope - driving - endurance - fail - full - go - grade - graduated - litmus - means - multiple - Pap smear - pass - pilot - positive - quiz - remote - screen - settr[test]1 (trial) prueba2 SMALLEDUCATION/SMALL (gen) examen nombre masculino, prueba; (multiple choice) test nombre masculino3 SMALLMEDICINE/SMALL análisis nombre masculino1 (gen) probar2 (patience, loyalty) poner a prueba3 SMALLEDUCATION/SMALL hacerle una prueba a4 SMALLMEDICINE/SMALL analizar\SMALLIDIOMATIC EXPRESSION/SMALLto stand the test of time resistir el paso del tiempoto take a car for a test drive probar un coche en carreteratest flight vuelo de pruebatest match partido internacionaltest pilot piloto de pruebastest tube probetatest ['tɛst] vt: examinar, evaluartest vi: hacer pruebastest n: prueba f, examen m, test mto put to the test: poner a prueban.• ensayo s.m.• examen s.m.• piedra de toque s.f.• probatura s.f.• prueba s.f.• tanteo s.m.• test s.m.v.• ensayar v.• examinar v.• experimentar v.• probar v.• tantear v.• verificar v.test
I
1)a) ( Educ) prueba f; ( multiple-choice type) test mto do o take a test — hacer* una prueba/un test
to give o set somebody a test — hacerle* or ponerle* a alguien una prueba/un test
b) (of machine, drug) prueba fto put something to the test — poner* algo a prueba
to stand the test of time — resistir el paso del tiempo; (before n) <run, flight> experimental, de prueba
c) (analysis, investigation)blood/urine test — análisis m de sangre/orina
to have an eye/a hearing test — hacerse* un examen de la vista/del oído
2) ( Sport) partido m internacional
II
1.
a) \<\<student/class\>\> examinar, hacerle* una prueba a; \<\<knowledge/skill\>\> evaluar*b) test (out) \<\<product/vehicle/weapon\>\> probar*, poner* a pruebathese cosmetics have not been tested on animals — no se han utilizado animales en las pruebas de laboratorio de estos cosméticos
c) \<\<friendship/endurance\>\> poner* a pruebad) \<\<blood/urine\>\> analizar*; \<\<sight/hearing/reflexes\>\> examinar; \<\<hypothesis\>\> comprobar*to test somebody for something: she was tested for AIDS se le hizo un análisis para determinar si tenía el sida; to test something FOR something: the eggs were tested for salmonella — los huevos fueron analizados para determinar si estaban infectados de salmonela
2.
[test]just testing! — (hum) era sólo para ver qué decías
1. N1) (Scol, Univ) examen m ; (multiple-choice) test m ; (esp for job) prueba f•
to do a test — (Scol, Univ) hacer un examen; (multiple choice) hacer un test; (for job) hacer una prueba•
to fail a test — (Scol, Univ) suspender un examen; (multiple choice) suspender un test; (for job) no pasar una prueba•
to give sb a test (in sth) — examinar a algn (de algo), poner a algn un examen (de algo)•
an oral test — un examen oral•
to pass a test — (Scol, Univ) aprobar un examen; (multiple choice) aprobar un test; (for job) pasar una prueba•
to take a test — (Scol, Univ) hacer un examen; (multiple choice) hacer un test; (for job) hacer una pruebaaptitude, intelligence•
a written test — un examen oral/escrito2) (Aut) (also: driving test) examen m de conducir•
to fail one's test — suspender el examen de conducir•
to pass one's test — aprobar el examen de conducir•
to take one's test — hacer el examen de conducir3) (Med) [of organs, functioning] prueba f ; [of sample, substance] análisis m invbreath, fitness, litmus, smear•
it was sent to the laboratory for tests — lo mandaron al laboratorio para que lo analizaran4) (=trial) [of aircraft, new product, drug] prueba fflight I, 1., 1), screen 3.•
they want to ban cosmetics tests on animals — quieren prohibir las pruebas de cosméticos en animales5) (fig) prueba fhe now faces the toughest test of his leadership — ahora se enfrenta a la prueba más difícil durante su periodo como líder
holidays are a major test of any relationship — irse de vacaciones es una de las pruebas más difíciles a la que se somete cualquier relación
acid, endurance•
to put sth to the test — poner or someter algo a prueba6) (Cricket, Rugby) (also: test match) partido m internacional2. VT1) [+ student, pupil] examinar; [+ candidate] (for job) hacer una prueba a; [+ knowledge] evaluar; [+ understanding] poner a prueba•
to test sb on sth — (Scol, Univ) examinar a algn de algo; (esp for job) hacer una prueba de algo a algn; (for revision) hacer preguntas de algo a algn (para repasar)can you test me on my French/spelling? — ¿me haces preguntas de francés/ortografía?
2) (Med) [+ blood, urine, sample] analizar•
to have one's eyes tested — hacerse una revisión de la vista•
to test sb/sth for sth, to test sb for AIDS — hacer la prueba del SIDA a algnto test sb for drugs — (gen) realizar pruebas a algn para comprobar si ha consumido drogas; [+ athlete, sportsperson] realizar el control antidoping a algn
my doctor wants me to be tested for diabetes — mi médico quiere que me haga un análisis para ver or frm determinar si tengo diabetes
the urine is tested for protein — se hace un análisis de orina para determinar el contenido de proteínas
3) (=conduct trials on) [+ aircraft, weapon, new product, drug] probar•
all our products are tested for quality — probamos la calidad de todos nuestros productos•
to test sth on sth/sb — probar algo con or en algo/algnnone of our products are tested on animals — ninguno de nuestros productos se prueba con or en animales
4) (=check) probar- test the waters5) (fig) (=put to the test) [+ person, courage] poner a pruebahis resolve will be tested to the limits this week — su resolución se pondrá a prueba al máximo esta semana
3.VI (=conduct a test)testing, testing... — (Telec) probando, probando...
•
it is a method used to test for allergies — es un método utilizado en pruebas de alergia•
just testing! — hum ¡por si acaso pregunto!•
to test negative/ positive (for sth) — dar negativo/positivo (en la prueba de algo)4.CPD(nuclear) test ban N — prohibición f de pruebas nucleares
test ban treaty N — (also: nuclear test ban treaty) tratado m de prohibición de pruebas nucleares
test card N — (TV) carta f de ajuste
test case N — (Jur) juicio m que sienta jurisprudencia
test cricket N — críquet m a nivel internacional
test data NPL — resultados mpl de prueba
test-drivetest drive N — (by potential buyer) prueba f en carretera; (by mechanic, technician) prueba f de rodaje
test flight N — vuelo m de prueba, vuelo m de ensayo
test marketing N — pruebas de un producto nuevo en el mercado
test marketing has already shown the product to be a great success — las pruebas realizadas en el mercado ya han mostrado que el producto tiene un éxito tremendo
test match N — (Cricket, Rugby) partido m internacional
test paper N — (Scol, Univ) examen m ; (multiple-choice) test m ; (Chem) papel m reactivo
test pattern N (US) (TV) — = test card
test piece N — (Mus) pieza f elegida para un certamen de piano
test pilot N — piloto mf de pruebas
test run N — (lit) vuelta f de prueba, prueba f ; (fig) puesta f a prueba
test tube baby N — bebé mf probeta
- test out* * *[test]
I
1)a) ( Educ) prueba f; ( multiple-choice type) test mto do o take a test — hacer* una prueba/un test
to give o set somebody a test — hacerle* or ponerle* a alguien una prueba/un test
b) (of machine, drug) prueba fto put something to the test — poner* algo a prueba
to stand the test of time — resistir el paso del tiempo; (before n) <run, flight> experimental, de prueba
c) (analysis, investigation)blood/urine test — análisis m de sangre/orina
to have an eye/a hearing test — hacerse* un examen de la vista/del oído
2) ( Sport) partido m internacional
II
1.
a) \<\<student/class\>\> examinar, hacerle* una prueba a; \<\<knowledge/skill\>\> evaluar*b) test (out) \<\<product/vehicle/weapon\>\> probar*, poner* a pruebathese cosmetics have not been tested on animals — no se han utilizado animales en las pruebas de laboratorio de estos cosméticos
c) \<\<friendship/endurance\>\> poner* a pruebad) \<\<blood/urine\>\> analizar*; \<\<sight/hearing/reflexes\>\> examinar; \<\<hypothesis\>\> comprobar*to test somebody for something: she was tested for AIDS se le hizo un análisis para determinar si tenía el sida; to test something FOR something: the eggs were tested for salmonella — los huevos fueron analizados para determinar si estaban infectados de salmonela
2.
just testing! — (hum) era sólo para ver qué decías
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12 Cognitive Science
The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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13 Mind
It becomes, therefore, no inconsiderable part of science... to know the different operations of the mind, to separate them from each other, to class them under their proper heads, and to correct all that seeming disorder in which they lie involved when made the object of reflection and inquiry.... It cannot be doubted that the mind is endowed with several powers and faculties, that these powers are distinct from one another, and that what is really distinct to the immediate perception may be distinguished by reflection and, consequently, that there is a truth and falsehood which lie not beyond the compass of human understanding. (Hume, 1955, p. 22)Let us then suppose the mind to be, as we say, white Paper, void of all Characters, without any Ideas: How comes it to be furnished? Whence comes it by that vast store, which the busy and boundless Fancy of Man has painted on it, with an almost endless variety? Whence has it all the materials of Reason and Knowledge? To this I answer, in one word, from Experience. (Locke, quoted in Herrnstein & Boring, 1965, p. 584)The kind of logic in mythical thought is as rigorous as that of modern science, and... the difference lies, not in the quality of the intellectual process, but in the nature of things to which it is applied.... Man has always been thinking equally well; the improvement lies, not in an alleged progress of man's mind, but in the discovery of new areas to which it may apply its unchanged and unchanging powers. (Leґvi-Strauss, 1963, p. 230)MIND. A mysterious form of matter secreted by the brain. Its chief activity consists in the endeavor to ascertain its own nature, the futility of the attempt being due to the fact that it has nothing but itself to know itself with. (Bierce, quoted in Minsky, 1986, p. 55)[Philosophy] understands the foundations of knowledge and it finds these foundations in a study of man-as-knower, of the "mental processes" or the "activity of representation" which make knowledge possible. To know is to represent accurately what is outside the mind, so to understand the possibility and nature of knowledge is to understand the way in which the mind is able to construct such representation.... We owe the notion of a "theory of knowledge" based on an understanding of "mental processes" to the seventeenth century, and especially to Locke. We owe the notion of "the mind" as a separate entity in which "processes" occur to the same period, and especially to Descartes. We owe the notion of philosophy as a tribunal of pure reason, upholding or denying the claims of the rest of culture, to the eighteenth century and especially to Kant, but this Kantian notion presupposed general assent to Lockean notions of mental processes and Cartesian notions of mental substance. (Rorty, 1979, pp. 3-4)Under pressure from the computer, the question of mind in relation to machine is becoming a central cultural preoccupation. It is becoming for us what sex was to Victorians-threat, obsession, taboo, and fascination. (Turkle, 1984, p. 313)7) Understanding the Mind Remains as Resistant to Neurological as to Cognitive AnalysesRecent years have been exciting for researchers in the brain and cognitive sciences. Both fields have flourished, each spurred on by methodological and conceptual developments, and although understanding the mechanisms of mind is an objective shared by many workers in these areas, their theories and approaches to the problem are vastly different....Early experimental psychologists, such as Wundt and James, were as interested in and knowledgeable about the anatomy and physiology of the nervous system as about the young science of the mind. However, the experimental study of mental processes was short-lived, being eclipsed by the rise of behaviorism early in this century. It was not until the late 1950s that the signs of a new mentalism first appeared in scattered writings of linguists, philosophers, computer enthusiasts, and psychologists.In this new incarnation, the science of mind had a specific mission: to challenge and replace behaviorism. In the meantime, brain science had in many ways become allied with a behaviorist approach.... While behaviorism sought to reduce the mind to statements about bodily action, brain science seeks to explain the mind in terms of physiochemical events occurring in the nervous system. These approaches contrast with contemporary cognitive science, which tries to understand the mind as it is, without any reduction, a view sometimes described as functionalism.The cognitive revolution is now in place. Cognition is the subject of contemporary psychology. This was achieved with little or no talk of neurons, action potentials, and neurotransmitters. Similarly, neuroscience has risen to an esteemed position among the biological sciences without much talk of cognitive processes. Do the fields need each other?... [Y]es because the problem of understanding the mind, unlike the wouldbe problem solvers, respects no disciplinary boundaries. It remains as resistant to neurological as to cognitive analyses. (LeDoux & Hirst, 1986, pp. 1-2)Since the Second World War scientists from different disciplines have turned to the study of the human mind. Computer scientists have tried to emulate its capacity for visual perception. Linguists have struggled with the puzzle of how children acquire language. Ethologists have sought the innate roots of social behaviour. Neurophysiologists have begun to relate the function of nerve cells to complex perceptual and motor processes. Neurologists and neuropsychologists have used the pattern of competence and incompetence of their brain-damaged patients to elucidate the normal workings of the brain. Anthropologists have examined the conceptual structure of cultural practices to advance hypotheses about the basic principles of the mind. These days one meets engineers who work on speech perception, biologists who investigate the mental representation of spatial relations, and physicists who want to understand consciousness. And, of course, psychologists continue to study perception, memory, thought and action.... [W]orkers in many disciplines have converged on a number of central problems and explanatory ideas. They have realized that no single approach is likely to unravel the workings of the mind: it will not give up its secrets to psychology alone; nor is any other isolated discipline-artificial intelligence, linguistics, anthropology, neurophysiology, philosophy-going to have any greater success. (Johnson-Laird, 1988, p. 7)Historical dictionary of quotations in cognitive science > Mind
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14 Kirkaldy, David
[br]b. 4 April 1820 Mayfield, Dundee, Scotlandd. 25 January 1897 London, England[br]Scottish engineer and pioneer in materials testing.[br]The son of a merchant of Dundee, Kirkaldy was educated there, then at Merchiston Castle School, Edinburgh, and at Edinburgh University. For a while he worked in his father's office, but with a preference for engineering, in 1843 he commenced an apprenticeship at the Glasgow works of Robert Napier. After four years in the shops he was transferred to the drawing office and in a very few years rose to become Chief. Here Kirkaldy demonstrated a remarkable talent both for the meticulous recording of observations and data and for technical drawing. His work also had an aesthetic appeal and four of his drawings of Napier steamships were shown at the Paris Exhibition of 1855, earning both Napier and Kirkaldy a medal. His "as fitted" set of drawings of the Cunard Liner Persia, which had been built in 1855, is now in the possession of the National Maritime Museum at Greenwich, London; it is regarded as one of the finest examples of its kind in the world, and has even been exhibited at the Royal Academy in London.With the impending order for the Royal Naval Ironclad Black Prince (sister ship to HMS Warrior, now preserved at Portsmouth) and for some high-pressure marine boilers and engines, there was need for a close scientific analysis of the physical properties of iron and steel. Kirkaldy, now designated Chief Draughtsman and Calculator, was placed in charge of this work, which included comparisons of puddled steel and wrought iron, using a simple lever-arm testing machine. The tests lasted some three years and resulted in Kirkaldy's most important publication, Experiments on Wrought Iron and Steel (1862, London), which gained him wide recognition for his careful and thorough work. Napier's did not encourage him to continue testing; but realizing the growing importance of materials testing, Kirkaldy resigned from the shipyard in 1861. For the next two and a half years Kirkaldy worked on the design of a massive testing machine that was manufactured in Leeds and installed in premises in London, at The Grove, Southwark.The works was open for trade in January 1866 and engineers soon began to bring him specimens for testing on the great machine: Joseph Cubitt (son of William Cubitt) brought him samples of the materials for the new Blackfriars Bridge, which was then under construction. Soon The Grove became too cramped and Kirkaldy moved to 99 Southwark Street, reopening in January 1874. In the years that followed, Kirkaldy gained a worldwide reputation for rigorous and meticulous testing and recording of results, coupled with the highest integrity. He numbered the most distinguished engineers of the time among his clients.After Kirkaldy's death, his son William George, whom he had taken into partnership, carried on the business. When the son died in 1914, his widow took charge until her death in 1938, when the grandson David became proprietor. He sold out to Treharne \& Davies, chemical consultants, in 1965, but the works finally closed in 1974. The future of the premises and the testing machine at first seemed threatened, but that has now been secured and the machine is once more in working order. Over almost one hundred years of trading in South London, the company was involved in many famous enquiries, including the analysis of the iron from the ill-fated Tay Bridge (see Bouch, Sir Thomas).[br]Principal Honours and DistinctionsInstitution of Engineers and Shipbuilders in Scotland Gold Medal 1864.Bibliography1862, Results of an Experimental Inquiry into the Tensile Strength and Other Properties of Wrought Iron and Steel (originally presented as a paper to the 1860–1 session of the Scottish Shipbuilders' Association).Further ReadingD.P.Smith, 1981, "David Kirkaldy (1820–97) and engineering materials testing", Transactions of the Newcomen Society 52:49–65 (a clear and well-documented account).LRD / FMW -
15 Froude, William
SUBJECT AREA: Ports and shipping[br]b. 1810 Dartington, Devon, Englandd. 4 May 1879 Simonstown, South Africa[br]English naval architect; pioneer of experimental ship-model research.[br]Froude was educated at a preparatory school at Buckfastleigh, and then at Westminster School, London, before entering Oriel College, Oxford, to read mathematics and classics. Between 1836 and 1838 he served as a pupil civil engineer, and then he joined the staff of Isambard Kingdom Brunel on various railway engineering projects in southern England, including the South Devon Atmospheric Railway. He retired from professional work in 1846 and lived with his invalid father at Dartington Parsonage. The next twenty years, while apparently unproductive, were important to Froude as he concentrated his mind on difficult mathematical and scientific problems. Froude married in 1839 and had five children, one of whom, Robert Edmund Froude (1846–1924), was to succeed him in later years in his research work for the Admiralty. Following the death of his father, Froude moved to Paignton, and there commenced his studies on the resistance of solid bodies moving through fluids. Initially these were with hulls towed through a house roof storage tank by wires taken over a pulley and attached to falling weights, but the work became more sophisticated and was conducted on ponds and the open water of a creek near Dartmouth. Froude published work on the rolling of ships in the second volume of the Transactions of the then new Institution of Naval Architects and through this became acquainted with Sir Edward Reed. This led in 1870 to the Admiralty's offer of £2,000 towards the cost of an experimental tank for ship models at Torquay. The tank was completed in 1872 and tests were carried out on the model of HMS Greyhound following full-scale towing trials which had commenced on the actual ship the previous year. From this Froude enunciated his Law of Comparisons, which defines the rules concerning the relationship of the power required to move geometrically similar floating bodies across fluids. It enabled naval architects to predict, from a study of a much less expensive and smaller model, the resistance to motion and the power required to move a full-size ship. The work in the tank led Froude to design a model-cutting machine, dynamometers and machinery for the accurate ruling of graph paper. Froude's work, and later that of his son, was prodigious and covered many fields of ship design, including powering, propulsion, rolling, steering and stability. In only six years he had stamped his academic authority on the new science of hydrodynamics, served on many national committees and corresponded with fellow researchers throughout the world. His health suffered and he sailed for South Africa to recuperate, but he contracted dysentery and died at Simonstown. He will be remembered for all time as one of the greatest "fathers" of naval architecture.[br]Principal Honours and DistinctionsFRS. Honorary LLD Glasgow University.Bibliography1955, The Papers of William Froude, London: Institution of Naval Architects (the Institution also published a memoir by Sir Westcott Abell and an evaluation of his work by Dr R.W.L. Gawn of the Royal Corps of Naval Constructors; this volume reprints all Froude's papers from the Institution of Naval Architects and other sources as diverse as the British Association, the Royal Society of Edinburgh and the Institution of Civil Engineers.Further ReadingA.T.Crichton, 1990, "William and Robert Edmund Froude and the evolution of the ship model experimental tank", Transactions of the Newcomen Society 61:33–49.FMW -
16 Grant, George Barnard
SUBJECT AREA: Electronics and information technology[br]b. 21 December 1849 Farmingdale, Gardiner, Maine, USAd. 16 August 1917 Pasadena, California, USA[br]American mechanical engineer and inventor of Grant's Difference Engine.[br]George B.Grant was descended from families who came from Britain in the seventeenth century and was educated at the Bridgton (Maine) Academy, the Chandler Scientific School of Dartmouth College and the Lawrence Scientific School of Harvard College, where he graduated with the degree of BS in 1873. As an undergraduate he became interested in calculating machines, and his paper "On a new difference engine" was published in the American Journal of Science in August 1871. He also took out his first patents relating to calculating machines in 1872 and 1873. A machine of his design known as "Grant's Difference Engine" was exhibited at the Centennial Exposition in Philadelphia in 1876. Similar machines were also manufactured for sale; being sturdy and reliable, they did much to break down the prejudice against the use of calculating machines in business. Grant's work on calculating machines led to a requirement for accurate gears, so he established a machine shop for gear cutting at Charlestown, Massachusetts. He later moved the business to Boston and incorporated it under the name of Grant's Gear Works Inc., and continued to control it until his death. He also established two other gear-cutting shops, the Philadelphia Gear Works Inc., which he disposed of in 1911, and the Cleveland Gear Works Inc., which he also disposed of after a few years. Grant's commercial success was in connection with gear cutting and in this field he obtained several patents and contributed articles to the American Machinist. However, he continued to take an interest in calculating machines and in his later years carried out experimental work on their development.[br]Bibliography1871, "On a new difference engine", American Journal of Science (August). 1885, Chart and Tables for Bevel Gears.1885, A Handbook on the Teeth of Gear Wheels, Boston, Mass.1891, Odontics, or the Theory and Practice of the Teeth of Gears, Lexington, Mass.Further ReadingR.S.Woodbury, 1958, History of the Gear-cutting Machine, Cambridge, Mass, (describes his gear-cutting machine).RTS -
17 run
1. [rʌn] nI1. 1) бег, пробегat a run - бегом [см. тж. ♢ ]
to cross exposed areas at a run - воен. преодолевать открытые участки перебежками
on the run - а) на ходу, в движении; to be on the run all day - быть весь день в бегах; б) второпях; [см. тж. 2) и 3)]
to keep smb. on the run - а) не давать кому-л. остановиться; б) не давать кому-л. покоя
to break into a run - побежать, пуститься бегом
to make a run for it - а) броситься куда-л. со всех ног; б) сделать перебежку куда-л. (под пулями и т. п.)
he took a short run and cleared the fence - он разбежался и перепрыгнул через забор
there was no run left in me - я больше не мог /у меня больше не было сил/ бежать
2) бегство; беспорядочное отступлениеto be on the run - поспешно отступать, бежать [см. тж. 1) и 3)]
to keep the enemy on the run - воен. не давать противнику закрепляться ( в ходе преследования)
3) побег; нахождение в бегахthe criminal was on the run - преступник был в бегах [см. тж. 1) и 2)]
he is on the run from the police - он скрывается /бегает/ от полиции
4) короткая прогулка (пешком, на лошади и т. п.); пробежкаto go for a run - а) пробежаться; б) проехаться (в автомобиле, на лошади и т. п.)
to go for a short run before breakfast - а) немного пробежаться /сделать небольшую пробежку/ перед завтраком; б) совершить небольшую (автомобильную, верховую и т. п.) прогулку перед завтраком
to give smb. a run - дать пробежаться
I was giving my dog a run in the park - я пустил свою собаку побегать в парке
2. короткая поездкаgood run! - счастливого пути!
3. рейс, маршрутship's run - маршрут /рейс/ корабля
the boat was taken off its usual run - судно было снято со своего обычного рейса
4. 1) переходtrial run - испытательный пробег [см. тж. II 1]
it is a two hour's run from London - это находится в двух часах езды от Лондона
2) ж.-д. перегон, прогон3) ав. полёт; перелёт5. 1) пройденное расстояние; отрезок пути2) ж.-д. пробег (локомотива, вагона)3) ав. отрезок трассы7. 1) тропа ( проложенная животными)2) колея ( след от транспорта)8. период, отрезок ( времени), полосаa run of success [of good luck] - полоса успеха [везения /удачи/]
a run of ill luck - несчастливая полоса, полоса невезения
9. 1) направлениеthe run of the mountains is S.W. - горы тянутся на юго-запад
2) геол. направление рудной жилы10. партия ( изделий)11. тираж (книги и т. п.)12. спорт. ( в крикете и бейсболе)1) единица счёта2) перебежка3) очко за перебежку13. 1) стадо ( животных)2) стая ( птиц)3) косяк ( рыбы)14. карт. ряд, серияa run of cards - карты одной масти, идущие подряд по достоинству; «стрит» ( в покере)
15. средний тип, сорт или разрядthe general run of smth. - что-л. обычное /среднее/
an ordinary run of cloth - обыкновенный /стандартный/ сорт ткани
the common /general, ordinary/ run of men - обыкновенные люди
out of the run - необыкновенный, из ряда вон выходящий, незаурядный
above the ordinary run of mankind - необыкновенный, незаурядный
not like the common run of girls - не такая, как все девушки
16. спросa run on rubber [on a book] - большой спрос на резину [на книгу]
the book had a considerable run - книга пользовалась спросом; книга хорошо распродавалась
a run on the bank - ком. наплыв в банк требований о возвращении вкладов, массовое изъятие вкладов из банка
17. разг. разрешение, право пользоваться (чем-л.)to have the run of smb.'s house - иметь право распоряжаться в чьём-л. доме
to give smb. the (free) run of one's house [books] - разрешить кому-л. (свободно, беспрепятственно) распоряжаться /пользоваться/ своим домом [своими книгами]
I had the run of a well-stocked library - в моём полном распоряжении оказалась богатая библиотека
18. 1) загон (для овец и т. п.)2) вольер (для кур и т. п.)3) австрал. пастбище, особ. овечье4) австрал. скотоводческая ферма19. амер. ручей, поток20. 1) сильный прилив, приток (воды и т. п.)2) амер. ток ( жидкости); истечение21. уклон, трасса22. обвал, оползень23. труба, жёлоб, лоток ( для воды)24. длина (провода, труб)a 500 ft run of pipe - пятисотфутовый отрезок трубы; труба длиной в пятьсот футов
25. размер ( стиха)26. 1) ход рыбы на нерест2) нерестящаяся рыба27. марш ( лестницы)28. мор. кормовое заострение ( корпуса)29. муз. руладаII1. ход, работа, действие (мотора, машины)test /trial/ run - испытание (машины, оборудования и т. п.) [см. тж. I 4, 1)]
an experimental run to test the machinery - опытный /пробный/ запуск агрегата
2. течение, ход (событий и т. п.)the run of the disease - ход /течение/ болезни
the usual /ordinary/ run of things - обычное положение вещей
the run of the market - ком. общая тенденция рыночных цен
3. демонстрирование, показ, просмотр (фильма, спектакля)the first run of the film - премьера кинофильма, выпуск кинофильма на экран
4. провоз ( контрабанды)5. ав. заход на цель (тж. bombing run)6. амер. спустившаяся петля ( на чулке)7. серия ( измерений)♢
at a run - подряд, один за другим [см. тж. I 1, 1)]
in the long run - в конце концов; в конечном счёте; в общем
to go with a run - ≅ идти как по маслу
prices [temperature] came down with a run - цены [температура] резко упали [упала]
to give smb. /to let smb. have/ a good run for his money - а) предоставить кому-л. все удовольствия на свете (обыкн. ирон.); б) заставить кого-л. побегать, поволноваться и т. п.
it's all in the day's run - это всё обычно, мы ко всему этому привыкли
2. [rʌn] athe run of one's teeth - бесплатное питание (обыкн. за проделанную работу)
1. жидкий; расплавленный; растопленный2. вылитый в расплавленном состоянии; литой3. отцеженный, отфильтрованный4. разг. контрабандный5. нерестящийсяrun fish - рыба, пришедшая в пресную воду на нерест
6. спец. мягкийrun coal - мягкий или сыпучий уголь; мягкий битуминозный уголь; рядовой уголь
7. диал. свернувшийся, скисший ( о молоке)3. [rʌn] v (ran, run)I1. бежать, бегатьto run fast [slowly, as hard as one can, like a deer] — бегать быстро [медленно, изо всех сил, как олень]
to run a mile — пробежать милю [ср. тж. II А 6, 2)]
to run about the streets [the fields] — бегать /носиться/ по улицам [по полям]
to run at smb.'s heels — бежать рядом ( о собаке)
to run past smb. — пробежать мимо кого-л.
to run after smb. — а) бежать за кем-л.; run after him — беги за ним!, догони его!; б) ухаживать, «бегать» за кем-л.
run after smth. — бежать за чем-л.
to run for smb. — сбегать за кем-л.
to run to smb. for help — побежать к кому-л. за помощью
she always runs to me in case of trouble — когда у неё неприятности, она всегда прибегает /обращается/ ко мне
I must run now — я должен уже бежать, мне пора (уходить)
2. гнать, подгонятьhe ran me breathless /off my logs, off my feet/ — он меня совершенно загнал, он меня загнал до изнеможения
3. убегать, спасаться бегством (тж. run away, run off)to run from smb., smth. — убегать от кого-л., чего-л.
to run for it — разг. удирать, спасаться, искать спасения в бегстве
to run for one's life /for dear life/ — разг. бежать /удирать/ изо всех сил
to run before the sea — мор. уходить от волны
to run out of range — воен. выходить за пределы досягаемости ( огня)
4. 1) двигаться, катиться, скользитьto run on rails — ходить /двигаться/ по рельсам
to run off the rails — а) сойти с рельсов (о поезде, трамвае); б) сбиться с пути (праведного); в) ≅ с катушек долой
the ship ran before the wind — а) корабль плыл с попутным ветром; б) мор. корабль шёл на фордевинд
life runs smoothly for her — её жизнь течёт гладко /спокойно/
2) амер. разг. катать в автомобиле (кого-л.)5. 1) ходить, следовать, курсировать, плаватьto run every three minutes [daily] — ходить каждые три минуты [ежедневно]
to run behind schedule — опаздывать, отставать от расписания
to run straight for — мор. идти прямо в
to run off the course — мор. сбиваться с курса
to run in with the shore — мор. идти вдоль берега
2) двигаться, идти ( с определённой скоростью)this train runs at 50 miles an hour — этот поезд делает /идёт со скоростью/ пятьдесят миль в час
we run from forty to fifty miles a day — мы проходим /делаем/ от сорока до пятидесяти миль в день
3) съездить (куда-л.) на короткий срокto run up to town (for a day or two) — съездить в город (обыкн. в Лондон) (на день-два)
to run up and visit smb. — съездить к кому-л. погостить
to run down to the country — съездить в деревню /в провинцию/ (обыкн. из Лондона)
4) ав. совершать пробег, разбег5) ав. заходить на цель6. 1) бежать, лететь, протекать ( о времени)time runs fast — время бежит /летит/
2) идти, происходить (о событиях и т. п.)7. проноситься, мелькатьthoughts run in /through/ one's head [mind] — мысли мелькают /проносятся/ в голове [в уме]
8. (быстро) распространятьсяa rumour ran through the town — по городу разнёсся /распространился, пополз/ слух
the news ran like wildfire /like lightning/ — новость распространилась с молниеносной быстротой
a murmur ran through the ranks — ропот пробежал /прокатился/ по рядам
a cheer ran down the line — возгласы одобрения /крики ура/ прокатились по строю
I felt the blood running to my head — я почувствовал, как кровь ударила /бросилась/ мне в голову
9. 1) тянуться, простираться, расстилатьсяto run north and south — тянуться /простираться/ на север и на юг
this line runs from... to... — этот маршрут проходит от... до..., эта линия соединяет...
2) ползти, виться ( о растениях)10. проводить, прокладывать11. 1) быть действительным на определённый срок2) распространяться на определённую территорию, действовать на определённой территорииso far as British justice runs — там, где действует британское правосудие
3) иметь хождение ( о деньгах)4) сопровождать в качестве непременного условияa right-of-way that runs with the land — земля, через которую проходит полоса отчуждения (шоссе и т. п.)
12. 1) течь, литься, сочиться, струитьсяthis river runs smoothly — эта река течёт плавно /спокойно/
wait till the water runs hot — подожди, пока не пойдёт горячая вода
blood ran in torrents — кровь текла /лилась/ ручьём
till the blood ran — пока не потекла /не показалась/ кровь
tears ran down her cheeks — слёзы текли /катились/ по её щекам /лицу/
her eyes ran with tears — её глаза наполнились слезами; из её глаз потекли слёзы
the kettle is beginning to run — чайник закипает /льётся через край/
the scolding ran off him like water off a duck's back — его ругают, а с него как с гуся вода
2) протекать, течьthis tap [barrel, pen] runs — этот кран [бочонок, эта ручка] течёт
his nose was running, he was running at the nose — у него текло из носу
his eyes run — у него слезятся /гноятся/ глаза
3) разливаться, расплываться4) таять, течь5) (into) сливаться, переходить (во что-л.)to run into one — сливаться, объединяться воедино
to run into one another — переходить один в другой, сливаться в одно
13. лить, наливатьto run water into a bath-tub — наливать воду в ванну, напускать ванну
14. 1) вращатьсяa wheel [a spindle] runs — колесо [шпиндель] вращается
to run (up)on an axis — а) вращаться вокруг оси; б) вращаться на оси
2) (on, upon) касаться (какой-л. темы и т. п.)his mind kept running on the problem — его мысли всё время вертелись вокруг этой проблемы; он всё время думал об этой проблеме
our talk /the conversation/ ran on recent events — мы всё время говорили /разговор шёл/ о недавних событиях
3) (over) касаться, слегка дотрагиваться до (чего-л.)15. гласитьthe story runs that (the bank will close) — говорят, что (банк закроется)
the proverb runs like this — вот как звучит эта пословица, эта пословица гласит
16. проходить; преодолевать ( препятствие)to run rapids — преодолевать пороги, проходить через пороги
17. линять18. амер., австрал. дразнить (кого-л.), приставать (к кому-л.), дёргать (кого-л.)19. стр. покрывать штукатуркойII А1. руководить (учреждением и т. п.); вести (дело, предприятие и т. п.)to run a business — вести дело, управлять предприятием
to run a factory — управлять фабрикой, быть управляющим на фабрике
to run a theatre — руководить театром, быть директором театра
to run the house (for smb.) — вести (чьё-л.) хозяйство
to run the show — разг. заправлять (чем-л.)
who is running the show? — разг. кто здесь главный?
2. 1) управлять ( автомобилем); водить (автобус и т. п.)to run the engine — запускать двигатель /мотор/
to run a car into a garage [off the road] — поставить автомобиль в гараж [съехать на обочину]
2) водить корабль без конвоя ( во время войны)to run (the) trials — мор. а) производить ходовые испытания; б) проходить ходовые испытания
4. работать, действовать ( о машине)the motor runs smoothly [very nice] — мотор работает ровно /спокойно/ [хорошо]
you mustn't let the machine run free /idle/ — ты не должен допускать, чтобы машина работала вхолостую /на холостом ходу/
an engine that runs at a very high speed — мотор, работающий на больших скоростях
5. 1) пускать ( линию); открывать (трассу, сообщение)an express train runs between these cities — между этими городами ходит поезд /есть железнодорожное сообщение/
2) отправлять (автобусы и т. п.) на линию, по маршруту6. 1) проводить (соревнования, бега, скачки; тж. run off)we are running a competition to find new dancers — мы проводим конкурс, чтобы выявить новых танцоров
2) участвовать (в соревнованиях, в беге, в скачках)to run (in) a race — участвовать в соревнованиях по бегу или в скачках
to run (a race over) a mile — участвовать в беге на одну милю [ср. тж. I 1]
3) занимать место (в соревнованиях и т. п.)to run second [third] — прийти вторым [третьим]
my horse ran last — моя лошадь пришла последней /заняла последнее место/
also ran — также участвовала (в соревнованиях и т. п. — о лошадях), но не заняла призового места [см. тж. ♢ ]
7. 1) демонстрировать, показывать (пьесу, фильм)2) идти (о пьесе, фильме)the film runs for nearly 21/2 hours — фильм идёт почти два с половиной часа
8. 1) перевозить, транспортировать ( груз)to run smb. into London — отвезти кого-л. в Лондон
2) провозить контрабандойto run liquor [drugs, arms] — нелегально /контрабандой/ провозить спиртные напитки [наркотики, оружие]
9. 1) преследовать, травить (зверя и т. п.)to run to earth — а) загнать в нору; б) скрыться в нору; в) выследить; найти, обнаружить; настигнуть; I was run to earth by Ben — Бен еле-еле разыскал меня; to run a quarry to earth — настичь, жертву; г) спрятаться, притаиться
2) преследовать ( по суду)10. подвергаться (риску, опасности)to run risks /hazards, chances/ — рисковать
we ran a chance of getting no dinner — мы могли /нам грозило, мы рисковали/ остаться без обеда
you run the danger of being suspected of theft — есть опасность, что вас заподозрят в краже
11. печатать, опубликовывать, помещать (в газете, журнале)to run a story on the third page — помещать /давать/ рассказ на третьей странице
12. 1) баллотироваться ( на пост)to run for parliament [for office, for president] — баллотироваться в парламент [на (какую-л.) должность, на пост президента]
2) выставлять ( кандидатуру)to run a candidate — выставлять /выдвигать/ кандидата
who(m) will the Republicans run against the Democratic candidate? — кого выставят республиканцы против кандидата (от) демократической партии?
13. выполнять ( поручение)to run errands — а) выполнять поручения; б) быть на посылках, на побегушках
to run messages — быть посыльным, разносить телеграммы и т. п.
14. болтать; распускать ( язык)15. спускаться ( о петле)16. смётывать (платье и т. п.); сшить на скорую руку (тж. to run up)17. идти ( на нерест)18. 1) плавить ( металл)2) лить, отливать ( металл)19. отставать ( о коре деревьев)20. ударить ( по шару), покатить ( шар — в биллиарде)21. диал.1) скисать, свёртываться ( о молоке)2) квасить, приводить к свёртыванию ( молоко)II Б1. to run across smb., smth. случайно встретить кого-л., что-л., случайно встретиться с кем-л., чем-л.; натолкнуться на кого-л., что-л.I ran across him in the street — я случайно встретился /столкнулся/ с ним на улице
2. to run against smth. наталкиваться, налетать, наскакивать на что-л., сталкиваться с чем-л.to run against a rock — наскочить на скалу, удариться о скалу
3. to run against smb. идти, действовать, выступать против кого-л.4. to run smth. against smth. столкнуть что-л. с чем-л.; стукнуть что-л. обо что-л.to run one's head against a wall — а) стукнуться головой о стену; б) прошибать лбом стену
5. to run smb., smth. against smb. выдвигать кого-л., что-л. против кого-л.6. to run at smb., smth. нападать, набрасываться, накидываться на кого-л., что-л.to run at smth. with a knife — броситься на кого-л. с ножом
7. to run into smth.1) налетать, наскакивать, наталкиваться на что-л., сталкиваться с чем-л.to run into a wall [into a tree, into a boulder] — налететь на стену [на дерево, на камень]
to run into a gale — мор. попасть в шторм
climbing higher, we ran into thick mist — поднявшись выше, мы попали в густой туман /оказались в густом тумане/
2) попадать в какое-л. положениеto run into danger [into mischief, into trouble] — попасть в опасное положение [в беду]
we expect to run into a few snags before the machine is ready for production — вполне возможно, что прежде чем машина будет готова к запуску в производство, в ней обнаружатся некоторые недоделки
3) достигать определённого количества, исчисляться определённой суммойthe damages ran into thousands — компенсация за убытки исчислялась тысячами /достигала нескольких тысяч/ (фунтов)
the ship runs into so many tons displacement — мор. корабль имеет водоизмещение, достигающее стольких-то тонн
8. to run into smb. случайно встретить кого-л., столкнуться с кем-л.to run slap into smb. — разг. налететь на кого-л., столкнуться лицом к лицу с кем-л.
9. to run smth., smb. into smth.1) втыкать, вгонять, вонзать что-л. во что-л.2) вводить, ставить; кого-л. в что-л.to run smb. into expense — ввести кого-л. в расход
to run smb. into difficulties — поставить кого-л. в трудное положение
10. to run smth., smb. into smth., smb. столкнуть что-л., кого-л. с чем-л., кем-л.; заставить что-л., кого-л. налететь, наскочить, натолкнуться на что-л., на кого-л.he lost control of the car and ran it into a lamp-post — он потерял управление и врезался в фонарный столб
11. to run on smth. = to run upon smth.12. to run out of smth. истощать запас чего-л.; иссякать (о запасах и т. п.)to run out of ammunition — воен. израсходовать боеприпасы
to run out of altitude — ав. терять высоту полёта
13. to run smth. over smth., smb. проводить чем-л. по чему-л., кому-л.to run one's hand [fingers] (down [up]) over his face [her] — провести рукой [пальцами] (вниз [вверх]) по его лицу [по ней]
to run an eye over smth., smb. — окинуть взглядом, бегло осмотреть что-л., кого-л.
he ran a rapid eye over the papers — он бросил быстрый взгляд на бумаги /газеты/, он быстро пробежал глазами бумаги /газеты/
14. to run smth. through smth. продевать, пропускать что-л. через что-л.to run a thread through an eyelet — продеть нитку в ушко /в петлю/
to run one's fingers [a comb] through one's [smb.'s] hair — провести пальцами [расчёской] по своим [по чьим-л.] волосам
to run a pen [a pencil] through smth. — зачеркнуть /прочеркнуть, перечеркнуть/ что-л. ручкой [карандашом]
15. to run smth. through smb., to run smb. through with smth. пронзать, прокалывать кого-л. чем-л.to run a sword through smb., to run smb. through with a sword — проколоть /проткнуть, пронзить/ кого-л. шпагой
16. to run through smth.1) бегло прочитывать /просматривать/ что-л.to run through the text [papers] — бегло /быстро/ просмотреть текст /бумаги/
2) разг. повторять (особ. вкратце)I'll just run through the main points of the subject — разрешите вкратце напомнить главные разделы этой темы
would you mind running through your proposals? — пожалуйста, перечислите вкратце ваши предложения
3) репетироватьI'd like to run you through that scene you have with Ophelia — я бы хотел повторить вашу сцену с Офелией
4) тратитьto run through money /fortune/ — промотать деньги /состояние/
17. to run over smth.1) бегло просматривать, пробегать (что-л. глазами)to run over a text [one's part, the names] — просматривать текст [свою роль, список имён]
2) повторять3) репетировать; прослушивать актёра, читающего рольjust run over my lines with me before the rehearsal begins — пожалуйста, послушайте мою роль, пока ещё не началась репетиция (всей пьесы)
18. to run to smth.1) тяготеть к чему-л., иметь склонность к чему-л.to run to fat — а) быть предрасположенным к полноте; б) разг. толстеть, жиреть; в) превращаться в жир
to run to sentiment — а) быть склонным к сентиментальности; б) быть сентиментальным
to run to any length /to anything/ — пойти на что угодно
to run to forgery — пойти на подделку (подписи, документов)
2) достигать (суммы, цифры)the increase may run to ten thousand pounds — увеличение может достигнуть суммы в десять тысяч фунтов
that will run to a pretty penny — это влетит /встанет/ в копеечку
3) хватать, быть достаточным19. to run (up)on smth. неожиданно, внезапно встретиться с чем-л., натолкнуться, наскочить на что-л.to run (up)on rocks — а) потерпеть крушение; б) натолкнуться на непреодолимые препятствия
to run on a mine — мор. наскочить на мину
20. to run smth. (up)on smth. натолкнуть на что-л., заставить наехать на что-л.21. to run smb. up /over, down/ to some place отвезти кого-л. куда-л.to run smb. up to town — отвезти кого-л. в город (обыкн. в Лондон)
22. to run with smb. преим. амер. общаться с кем-л.; водить компанию с кем-л.a ram running with ewes — баран, пасущийся с овечками
23. to run counter to smth. противоречить, идти вразрез с чем-л.III А1. становиться, делатьсяto run dry — а) высыхать; the river ran dry — река высохла /пересохла/; б) выдыхаться, иссякать
my imagination ran dry — моё воображение истощилось, моя фантазия иссякла
to run high — а) подниматься ( о приливе); б) волноваться ( о море); the sea runs high — море волнуется; в) разгораться ( о страстях); passions /feelings/ ran high — страсти разгорались /бушевали/; г) возрастать ( о ценах)
the tide is running strong — вода быстро прибывает, прилив быстро поднимается
to run low — а) понижаться, опускаться; б) истощаться, иссякать, быть на исходе; кончаться
supplies ran low — запасы были на исходе /кончались/
his funds [stores] are running low — его фонды [запасы] подходят к концу
to run short — истощаться, подходить к концу
I have run short of money, my money has run short — у меня кончились деньги, мне не хватило денег
to run wild — а) бурно разрастаться; the garden is running wild — сад зарастает; б) расти без присмотра; не получить образования; в) разойтись, разыграться; his imagination ran wild — его воображение разыгралось; г) не знать удержу, пуститься во все тяжкие
2. быть, являтьсяthe apples [pears] run large /big/ this year — в этом году яблоки [груши] крупные
they run in all shapes — они бывают разной формы /всех видов, всякие, разные/
to run in the blood /in the family/ — быть наследственным
courage [the collecting spirit, fondness for music] runs in the family — храбрость [страсть к коллекционированию, любовь к музыке] — это у них семейное
3. иметьI think I am running a temperature — мне кажется, что у меня (поднимается) температура
he always runs a fever if he gets his feet wet — его всегда лихорадит, если он промочит ноги
♢
an also ran — неудачник [см. тж. II А 6, 3)]
to run riot см. riot I ♢
to run the show — распоряжаться; быть во главе; ≅ командовать парадом
to run smth. close — быть почти равным (по качеству и т. п.)
to run smb. close — а) быть чьим-л. опасным соперником; б) быть почти равным кому-л.
to run to cover — уйти от /избежать/ опасности; принять меры предосторожности
to cut and run — убегать; удирать, спасаться бегством; бежать со всех ног; улепётывать
to run foul (of) — а) мор. столкнуться ( с другим судном); б) ист. брать на абордаж; в) поссориться; вступить в конфликт
to run oneself [smb.] into the ground — измотать себя [кого-л.]; совершенно измочалить себя (работой, спортом и т. п.)
to run smb. ragged см. ragged ♢
to run to seed см. seed I ♢
to run a mile (from) — бегать от кого-л.; изо всех сил избегать кого-л.
he was a bore whom everyone ran a mile from — он был занудой, от которого все старались избавиться
to run it /things/ fine — иметь в обрез (времени, денег)
to run out of steam см. steam I 3
to run rings round см. ring1 I ♢
to run before the hounds — забегать вперед, опережать события
to run the wrong hare — просчитаться, ошибиться в расчётах; пойти по ложному следу
to run aground — мор. а) сесть или посадить на мель; to run a ship aground — посадить корабль на мель; б) выбрасываться на берег
to run ashore — мор. выбрасываться на берег; приткнуться к берегу
to run a line [a rope] ashore — передать /бросить/ конец [трос] на берег
to run with the hare and hunt with the hounds — посл. ≅ служить и нашим и вашим; вести двойную игру
he who runs may read — посл. всякий поймёт, всякому доступно /понятно/ (о чём-л. лёгком, доступном для понимания)
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18 trial
trial [ˈtraɪəl]1. nouna. ( = proceedings) procès m• at the trial it emerged that... au cours du procès il est apparu que...• to come up for trial [case] être jugéb. ( = test) essai m• to take sb/sth on trial prendre qn/qch à l'essai• to be on trial [+ machine, employee] être à l'essai( = test) tester3. compounds[period] d'essai ; [marriage] à l'essai* * *['traɪəl] 1.1) Law procès mto go to trial — [case] être jugé
to go on trial —
to come up for trial — [person] comparaître en justice; [case] être jugé
to put somebody on trial — lit juger quelqu'un; fig [press, public] condamner quelqu'un
2) ( test) (of machine, recruit, vehicle) essai m; (of drug, new product) test m3) Music, Sport épreuve f4) ( trouble) épreuve f; ( less strong) difficulté f2.to be a trial — [person] être pénible à supporter
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19 McKay, Hugh Victor
SUBJECT AREA: Agricultural and food technology[br]b. c. 1866 Drummartin, Victoria, Australiad. 21 May 1926 Australia[br]Australian inventor and manufacturer of harvesting and other agricultural equipment.[br]A farmer's son, at the age of 17 McKay developed modifications to the existing stripper harvester and created a machine that would not only strip the seed from standing corn, but was able to produce a threshed, winnowed and clean sample in one operation. The prototype was produced in 1884 and worked well on the two acres of wheat that had been set aside on the family farm. By arrangement with a Melbourne plough maker, five machines were made and sold for the 1885 season. In 1886 the McKay Harvester Company was formed, with offices at Ballarat, from which the machines, built by various companies, were sold. The business expanded quickly, selling sixty machines in 1888, and eventually rising to the production of nearly 2,000 harvesters in 1905. The name "Sunshine" was given to the harvester, and the "Sun" prefix was to appear on all other implements produced by the company as it diversified its production interests. In 1902 severe drought reduced machinery sales and left 2,000 harvesters unsold. McKay was forced to look to export markets to dispose of his surplus machines. By 1914 a total of 10,000 machines were being exported annually. During the First World War McKay was appointed to the Business Board of the Defence Department. Increases in the scale of production resulted in the company moving to Melbourne, where it was close to the port of entry of raw materials and was able to export the finished article more readily. In 1909 McKay produced one of the first gas-engined harvesters, but its cost prevented it from being more than an experimental prototype. By this time McKay was the largest agricultural machinery manufacturer in the Southern hemisphere, producing a wide range of implements, including binders. In 1916 McKay hired Headlie Taylor, who had developed a machine capable of harvesting fallen crops. The jointly developed machine was a major success, coming as it did in what would otherwise have been a disastrous Australian harvest. Further developments included the "Sun Auto-header" in 1923, the first of the harvesting machines to adopt the "T" configuration to be seen on modern harvesters. The Australian market was expanding fast and a keen rivalry developed between McKay and Massey Harris. Confronted by the tariff regulations with which the Australian Government had protected its indigenous machinery industry since 1906, Massey Harris sold all its Australian assets to the H.V. McKay company in 1930. Twenty-three years later Massey Ferguson acquired the old Sunshine works and was still operating from there in the 1990s.Despite a long-running history of wage disputes with his workforce, McKay established a retiring fund as well as a self-help fund for distressed cases. Before his death he created a charitable trust and requested that some funds should be made available for the "aerial experiments" which were to lead to the establishment of the Flying Doctor Service.[br]Principal Honours and DistinctionsCBE.Further ReadingGraeme Quick and Wesley Buchele, 1978, The Grain Harvesters, American Society of Agricultural Engineers (devotes a chapter to the unique development of harvesting machinery which took place in Australia).AP -
20 Roberts, Richard
[br]b. 22 April 1789 Carreghova, Llanymynech, Montgomeryshire, Walesd. 11 March 1864 London, England[br]Welsh mechanical engineer and inventor.[br]Richard Roberts was the son of a shoemaker and tollkeeper and received only an elementary education at the village school. At the age of 10 his interest in mechanics was stimulated when he was allowed by the Curate, the Revd Griffith Howell, to use his lathe and other tools. As a young man Roberts acquired a considerable local reputation for his mechanical skills, but these were exercised only in his spare time. For many years he worked in the local limestone quarries, until at the age of 20 he obtained employment as a pattern-maker in Staffordshire. In the next few years he worked as a mechanic in Liverpool, Manchester and Salford before moving in 1814 to London, where he obtained employment with Henry Maudslay. In 1816 he set up on his own account in Manchester. He soon established a reputation there for gear-cutting and other general engineering work, especially for the textile industry, and by 1821 he was employing about twelve men. He built machine tools mainly for his own use, including, in 1817, one of the first planing machines.One of his first inventions was a gas meter, but his first patent was obtained in 1822 for improvements in looms. His most important contribution to textile technology was his invention of the self-acting spinning mule, patented in 1825. The normal fourteen-year term of this patent was extended in 1839 by a further seven years. Between 1826 and 1828 Roberts paid several visits to Alsace, France, arranging cottonspinning machinery for a new factory at Mulhouse. By 1826 he had become a partner in the firm of Sharp Brothers, the company then becoming Sharp, Roberts \& Co. The firm continued to build textile machinery, and in the 1830s it built locomotive engines for the newly created railways and made one experimental steam-carriage for use on roads. The partnership was dissolved in 1843, the Sharps establishing a new works to continue locomotive building while Roberts retained the existing factory, known as the Globe Works, where he soon after took as partners R.G.Dobinson and Benjamin Fothergill (1802–79). This partnership was dissolved c. 1851, and Roberts continued in business on his own for a few years before moving to London as a consulting engineer.During the 1840s and 1850s Roberts produced many new inventions in a variety of fields, including machine tools, clocks and watches, textile machinery, pumps and ships. One of these was a machine controlled by a punched-card system similar to the Jacquard loom for punching rivet holes in plates. This was used in the construction of the Conway and Menai Straits tubular bridges. Roberts was granted twenty-six patents, many of which, before the Patent Law Amendment Act of 1852, covered more than one invention; there were still other inventions he did not patent. He made his contribution to the discussion which led up to the 1852 Act by publishing, in 1830 and 1833, pamphlets suggesting reform of the Patent Law.In the early 1820s Roberts helped to establish the Manchester Mechanics' Institute, and in 1823 he was elected a member of the Literary and Philosophical Society of Manchester. He frequently contributed to their proceedings and in 1861 he was made an Honorary Member. He was elected a Member of the Institution of Civil Engineers in 1838. From 1838 to 1843 he served as a councillor of the then-new Municipal Borough of Manchester. In his final years, without the assistance of business partners, Roberts suffered financial difficulties, and at the time of his death a fund for his aid was being raised.[br]Principal Honours and DistinctionsMember, Institution of Civil Engineers 1838.Further ReadingThere is no full-length biography of Richard Roberts but the best account is H.W.Dickinson, 1945–7, "Richard Roberts, his life and inventions", Transactions of the Newcomen Society 25:123–37.W.H.Chaloner, 1968–9, "New light on Richard Roberts, textile engineer (1789–1864)", Transactions of the Newcomen Society 41:27–44.RTS
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