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The processes

  • 1 the ... the ...

    ( with comparative adjective or adverb) used to show the connection or relationship between two actions, states, processes etc:

    The harder you work, the more you earn.

    تُسْتَعْمَل مع الصِّفه أو الحال في دَرَجَة المُقارنَه لِتُعَبِّر عن التَّناسُب الطَّرْدي للفِعْل أو الصِّفَه

    Arabic-English dictionary > the ... the ...

  • 2 Processes and Resources of the Bering Sea Shelf

    Oceanography: PROBES

    Универсальный русско-английский словарь > Processes and Resources of the Bering Sea Shelf

  • 3 The amount of dissolved oxygen consumed in 5 days by biological processes breaking down organic matter

    Oil: BOD5

    Универсальный русско-английский словарь > The amount of dissolved oxygen consumed in 5 days by biological processes breaking down organic matter

  • 4 Pliny the Elder (Gaius Plinius Secundus)

    SUBJECT AREA: Metallurgy
    [br]
    b. c. 23 AD Como, Italy
    d. 25 August 79 AD near Pompeii, Italy
    [br]
    Roman encyclopedic writer on the natural world.
    [br]
    Pliny was well educated in Rome, and for ten years or so followed a military career with which he was able to combine literary work, writing especially on historical subjects. He completed his duties c. 57 AD and concentrated on writing until he resumed his official career in 69 AD with administrative duties. During this last phase he began work on his only extant work, the thirty-seven "books" of his Historia Naturalis (Natural History), each dealing with a broad subject such as astronomy, geography, mineralogy, etc. His last post was the command of the fleet based at Misenum, which came to an end when he sailed too near Vesuvius during the eruption that engulfed Pompeii and he was overcome by the fumes.
    Pliny developed an insatiable curiosity about the natural world. Unlike the Greeks, the Romans made few original contributions to scientific thought and observation, but some made careful compilations of the learning and observations of Greek scholars. The most notable and influential of these was the Historia Naturalis. To the ideas about the natural world gleaned from earlier Greek authors, he added information about natural history, mineral resources, crafts and some technological processes, such as the extraction of metals from their ores, reported to him from the corners of the Empire. He added a few observations of his own, noted during travels on his official duties. Not all the reports were reliable, and the work often presents a tangled web of fact and fable. Gibbon described it as an immense register in which the author has "deposited the discoveries, the arts, and the errors of mankind". Pliny was indefatigable in his relentless note-taking, even dictating to his secretary while dining.
    During the Dark Ages and early Middle Ages in Western Europe, Pliny's Historia Naturalis was the largest known collection of facts about the natural world and was drawn upon freely by a succession of later writers. Its influence survived the influx into Western Europe, from the twelfth century, of translations of the works of Greek and Arab scholars. After the invention of printing in the middle of the fifteenth century, Pliny was the first work on a scientific subject to be printed, in 1469. Many editions followed and it may still be consulted with profit for its insights into technical knowledge and practice in the ancient world.
    [br]
    Bibliography
    The standard Latin text with English translation is that edited by H.Rackham et al.(1942– 63, Loeb Classical Library, London: Heinemann, 10 vols). The French version is by A.
    Ernout et al. (1947–, Belles Lettres, Paris).
    Further Reading
    The editions mentioned above include useful biographical and other details. For special aspects of Pliny, see K.C.Bailey, 1929–32, The Elder Pliny's Chapters on Chemical Subjects, London, 2 vols.
    LRD

    Biographical history of technology > Pliny the Elder (Gaius Plinius Secundus)

  • 5 About the author

       MORTON WAGMAN is Professor Emeritus of Psychology at the University of Illinois, Urbana-Champaign. His most recent works include The Human Mind According to Artificial Intelligence (Praeger, 1999) and Scientific Discovery Processes in Humans and Computers (Praeger, 1999).

    Historical dictionary of quotations in cognitive science > About the author

  • 6 e-commerce processes

    E-com
    the flow of information through planning, design, manufacture, sales, order processing, distribution, and quality in an e-business

    The ultimate business dictionary > e-commerce processes

  • 7 determination of the quantity of a desired constituent in ores, metallurgical residues, and alloys by the use of processes of solution, flotation, or other liquid means

    Gold mining: wet assay, wet assaying

    Универсальный русско-английский словарь > determination of the quantity of a desired constituent in ores, metallurgical residues, and alloys by the use of processes of solution, flotation, or other liquid means

  • 8 Emotion

    .. propose that reason may not be as pure as most of us think it is or wish it were, that emotions and feelings may not be intruders in the bastion of reason at all: they may be enmeshed in its networks, for worse and for better.
       The strategies of human reason probably did not develop, in either evolution or any single individual, without the guiding force of the mechanisms of biological regulation, of which emotion and feeling are notable expressions. Moreover, even after reasoning strategies become established in the formative years, their effective deployment probably depends, to a considerable extent, on a continued ability to experience feelings.
       This is not to deny that emotions and feelings can cause havoc in the processes of reasoning under certain circumstances. Traditional wisdom has told us that they can, and recent investigations of the normal reasoning process also reveal the potentially harmful influence of emotional biases. It is thus even more surprising and novel that the absence of emotion and feeling is no less damaging, no less capable of compromising the rationality that makes us distinctly human and allows us to decide in consonance with a sense of personal future, social convention, and moral principle. (Damasio, 1994, p. xii)

    Historical dictionary of quotations in cognitive science > Emotion

  • 9 внутрикамерный

    The HF self-excited vibration is characterized by… the processes inside the thrust chamber…

    Русско-английский словарь по космонавтике > внутрикамерный

  • 10 распыл компонентов топлива

    The HF self-excited vibration is characterized by… the processes inside the thrust chamber, viz., propellant mixing ( propellant atomization, mixing, and evaporation), fuel combustion, etc.

    Русско-английский словарь по космонавтике > распыл компонентов топлива

  • 11 Предварительно закрученный

    The synchronous energy release of a pretorqued elastic bar (rod) is used to initiate the processes of loading

    Русско-английский словарь по прикладной математике и механике > Предварительно закрученный

  • 12 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, Eventually
       Just 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)
       Many 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 Form
       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. 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 Formation
       It 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 Contexts
       Even 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)
        18) The Assumption That the Mind Is a Formal System
       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 Intelligence
       The 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 Propositions
       In 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

  • 13 Processing Systems

       Determining the Hierarchical Position of a Processing System Involved in a Performance Task
       The position of any processing system within the hierarchy is determined by two major criteria: (1) the generality-specificity of the processing system and (2) the degree of automaticity of the processing system. Relatively general and non-automatic processes appear towards the top of the hierarchy, and specific, automatic processes occur at the bottom. As a rule of thumb, the location in the hierarchy of the processes involved in the performance of a task can be assessed by a series of experiments in which the task is paired with several others: higher-level processes will more consistently produce interference than will low-level processes. (Eysenck, 1982, p. 45)

    Historical dictionary of quotations in cognitive science > Processing Systems

  • 14 animado

    adj.
    1 animate, animated, moved, bustling.
    2 busy.
    3 alive, living.
    past part.
    past participle of spanish verb: animar.
    * * *
    1→ link=animar animar
    1 (movido) animated, lively, jolly
    2 (concurrido) bustling, full of people
    3 (alegre) cheerful, in high spirits, excited
    * * *
    (f. - animada)
    adj.
    cheerful, alive
    * * *
    ADJ
    1) (=con ánimo)
    2) (=alentado)

    animado de o por algo/algn — encouraged by sth/sb, urged on by sth/sb

    animados por los hinchas — encouraged o urged on by the fans

    3) [lugar] (=alegre) lively; (=concurrido) [bar, mercado] bustling, busy
    4) (=con vida) animate
    dibujo 2)
    5) (Ling) animate
    * * *
    - da adjetivo
    1)
    a) <fiesta/ambiente> lively; <conversación/discusión> lively, animated
    b) (optimista, con ánimo) cheerful, in good spirits
    2) ( impulsado)

    animado de or por algo — inspired o motivated by something

    * * *
    = lively [livelier -comp., liveliest -sup.], vibrant, animate, animated, perky [perkier -comp., perkiest -sup.].
    Ex. But in the country the processes of printing always provoke such lively curiosity that the customers preferred to go in by a glazed door set in the shop-front and giving onto the street.
    Ex. All these issues were successfully addressed by rearranging study, reference, and stack areas and enclosing a small office to create a more vibrant, reference oriented library environment.
    Ex. This article reports the results of a study to determine the decision making processes used by doctors when examining medical information derived from animate information sources, such as: colleagues; consultants; and medical information centres.
    Ex. His manner was more animated, but not in the usual petulant sense: he even seemed years younger.
    Ex. The members of Harvey's family seem almost spookily healthy and perky and nice to each other.
    ----
    * de un modo animado = perkily.
    * dibujos animados = animated cartoons.
    * dibujos animados japoneses = Anime.
    * gráfico animado = motion graphic.
    * película de dibujos animados = cartoon film.
    * * *
    - da adjetivo
    1)
    a) <fiesta/ambiente> lively; <conversación/discusión> lively, animated
    b) (optimista, con ánimo) cheerful, in good spirits
    2) ( impulsado)

    animado de or por algo — inspired o motivated by something

    * * *
    = lively [livelier -comp., liveliest -sup.], vibrant, animate, animated, perky [perkier -comp., perkiest -sup.].

    Ex: But in the country the processes of printing always provoke such lively curiosity that the customers preferred to go in by a glazed door set in the shop-front and giving onto the street.

    Ex: All these issues were successfully addressed by rearranging study, reference, and stack areas and enclosing a small office to create a more vibrant, reference oriented library environment.
    Ex: This article reports the results of a study to determine the decision making processes used by doctors when examining medical information derived from animate information sources, such as: colleagues; consultants; and medical information centres.
    Ex: His manner was more animated, but not in the usual petulant sense: he even seemed years younger.
    Ex: The members of Harvey's family seem almost spookily healthy and perky and nice to each other.
    * de un modo animado = perkily.
    * dibujos animados = animated cartoons.
    * dibujos animados japoneses = Anime.
    * gráfico animado = motion graphic.
    * película de dibujos animados = cartoon film.

    * * *
    animado -da
    A
    1 ‹fiesta/reunión/ambiente› lively; ‹conversación/discusión› lively, animated
    2 (optimista, con ánimo) cheerful, in good spirits
    hoy está más animado he's more cheerful o he's in better spirits today
    animado A + INF:
    estoy más animado a intentarlo ahora I feel more like trying o more up to trying now
    B (impulsado) animado DE or POR algo inspired o motivated BY sth
    un movimiento animado de excelentes principios a movement inspired o motivated by excellent principles
    actuó animado de impecables propósitos he acted with the best of intentions
    * * *

    Del verbo animar: ( conjugate animar)

    animado es:

    el participio

    Multiple Entries:
    animado    
    animar
    animado
    ◊ -da adjetivo

    1
    a) ‹fiesta/ambiente› lively;

    ‹conversación/discusión› lively, animated
    b) (optimista, con ánimo) cheerful, in good spirits

    2 ( impulsado) animado de or por algo inspired o motivated by sth
    animar ( conjugate animar) verbo transitivo
    1

    ( levantar el espíritu) to cheer … up;

    animado a algn a hacer algo or a que haga algo to encourage sb to do sth
    b) ‹fiesta/reunión› to liven up;


    c) (con luces, colores) to brighten up

    2 ‹ programa› to present, host
    3 ( impulsar) to inspire
    animarse verbo pronominal
    a) (alegrarse, cobrar vida) [fiesta/reunión] to liven up, warm up;

    [ persona] to liven up

    ◊ si me animo a salir te llamo if I feel like going out, I'll call you

    c) ( atreverse):

    ◊ ¿quién se anima a decírselo? who's going to be brave enough to tell him?;

    no me animo a saltar I can't bring myself to jump;
    al final me animé a confesárselo I finally plucked up the courage to tell her
    animado,-a adjetivo
    1 (fiesta, reunión, conversación) lively
    2 (estado de ánimo) cheerful
    animar verbo transitivo
    1 (alegrar a alguien) to cheer up
    (una fiesta, una reunión) to liven up, brighten up
    2 (estimular a una persona) to encourage
    ' animado' also found in these entries:
    Spanish:
    animada
    - alborotado
    - mono
    - vivo
    English:
    animated
    - busy
    - chirpy
    - lively
    - perky
    - sprightly
    - subdued
    - swing
    - zestful
    - bustling
    - racy
    - spirit
    * * *
    animado, -a adj
    1. [con buen ánimo] cheerful;
    se encuentra muy animado después de la operación he's in excellent spirits after the operation
    2. [entretenido] lively;
    fue un partido muy animado it was a very lively match
    3. [con alma] animate, living;
    los objetos animados e inanimados animate and inanimate objects
    4. Cine animated;
    animado por Esp [m5] ordenador o Am [m5] computadora computer-animated
    * * *
    adj lively
    * * *
    animado, -da adj
    1) : animated, lively
    2) : cheerful
    ♦ animadamente adv
    * * *
    animado adj
    1. (persona) cheerful
    2. (lugar, situación) lively [comp. livelier; superl. liveliest]

    Spanish-English dictionary > animado

  • 15 Ducos du Hauron, Arthur-Louis

    [br]
    b. 1837 Langon, Bordeaux, France
    d. 19 August 1920 Agen, France
    [br]
    French scientist and pioneer of colour photography.
    [br]
    The son of a tax collector, Ducos du Hauron began researches into colour photography soon after the publication of Clerk Maxwell's experiment in 1861. In a communication sent in 1862 for presentation at the Académie des Sciences, but which was never read, he outlined a number of methods for photography of colours. Subsequently, in his book Les Couleurs en photographie, published in 1869, he outlined most of the principles of additive and subtractive colour photography that were later actually used. He covered additive processes, developed from Clerk Maxwell's demonstrations, and subtractive processes which could yield prints. At the time, the photographic materials available prevented the processes from being employed effectively. The design of his Chromoscope, in which transparent reflectors could be used to superimpose three additive images, was sound, however, and formed the basis of a number of later devices. He also proposed an additive system based on the use of a screen of fine red, yellow and blue lines, through which the photograph was taken and viewed. The lines blended additively when seen from a certain distance. Many years later, in 1907, Ducos du Hauron was to use this principle in an early commercial screen-plate process, Omnicolore. With his brother Alcide, he published a further work in 1878, Photographie des Couleurs, which described some more-practical subtractive processes. A few prints made at this time still survive and they are remarkably good for the period. In a French patent of 1895 he described yet another method for colour photography. His "polyfolium chromodialytique" involved a multiple-layer package of separate red-, green-and blue-sensitive materials and filters, which with a single exposure would analyse the scene in terms of the three primary colours. The individual layers would be separated for subsequent processing and printing. In a refined form, this is the principle behind modern colour films. In 1891 he patented and demonstrated the anaglyph method of stereoscopy, using superimposed red and green left and right eye images viewed through green and red filters. Ducos du Hauron's remarkable achievement was to propose theories of virtually all the basic methods of colour photography at a time when photographic materials were not adequate for the purpose of proving them correct. For his work on colour photography he was awarded the Progress Medal of the Royal Photographic Society in 1900, but despite his major contributions to colour photography he remained in poverty for much of his later life.
    [br]
    Further Reading
    B.Coe, 1978, Colour Photography: The First Hundred Years, London. J.S.Friedman, 1944, History of Colour Photography, Boston. E.J.Wall, 1925, The History of Three-Colour Photography, Boston. See also Cros, Charles.
    BC

    Biographical history of technology > Ducos du Hauron, Arthur-Louis

  • 16 Планирование - Выполнение - Проверка - Корректировка

    1. Plan-Do-Check-Act
    2. PDCA

     

    Планирование - Выполнение - Проверка - Корректировка
    PDCA
    (ITIL Continual Service Improvement)
    Четыре шага цикла управления процессом, разработанного Эдвардом Демингом (Edward Deming). Цикл «Планирование - Выполнение -Проверка - Корректировка» также называют циклом Деминга.
    Планирование – проектирование или пересмотр процессов, поддерживающих ИТ- услуги.
    Выполнение – внедрение плана и управление процессом.
    Проверка – измерение процессов и ИТ-услуг, сравнение с целями и получение отчётности.
    Корректировка – планирование и внедрение изменений для улучшения процессов.
    [Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]

    EN

    Plan-Do-Check-Act
    PDCA
    (ITIL Continual Service Improvement)
    A four-stage cycle for process management, attributed to Edward Deming. Plan-Do-Check-Act is also called the Deming Cycle.
    Plan - design or revise processes that support the IT services;
    Do - implement the plan and manage the processes;
    Check - measure the processes and IT services, compare with objectives and produce reports;
    Act - plan and implement changes to improve the processes.
    [Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]

    Тематики

    Синонимы

    EN

    Русско-английский словарь нормативно-технической терминологии > Планирование - Выполнение - Проверка - Корректировка

  • 17 change management

    Gen Mgt
    the coordination of a structured period of transition from situation A to situation B in order to achieve lasting change within an organization. Change management can be of varying scope, from continuous improvement, which involves small ongoing changes to existing processes, to radical and substantial change involving organizational strategy. Change management can be reactive or proactive. It can be instigated in reaction to something in an organization’s external environment, for example, in the realms of economics, politics, legislation, or competition, or in reaction to something within the processes, structures, people, and events of the organization’s internal environment. It may also be instigated as a proactive measure, for example, in anticipation of unfavorable economic conditions in the future. Change management usually follows five steps: recognition of a trigger indicating that change is needed; clarification of the end point, or “where we want to be”; planning how to achieve the change; accomplishment of the transition; and maintenance to ensure the change is lasting. Effective change management involves alterations on a personal level, for example, a shift in attitudes or work routines, and thus personnel management skills such as motivation are vital to successful change. Other important influences on the success of change management include leadership style, communication, and a unified positive attitude to the change among the workforce. Business process reengineering is one type of change management, involving the redesign of processes within an organization to raise performance. Change agents are those people within an organization who are leaders and champions of the change process. With the accelerating pace of change in the business environment in the 1990s and 2000s, change has become accepted as a fact of business life and is the subject of books on management.

    The ultimate business dictionary > change management

  • 18 business process reengineering

    Gen Mgt, Ops
    the initiation and control of the change of processes within an organization, in order to derive competitive advantage from improvement in the quality of products. Business process reengineering was popularized by Michael Hammer. It requires a review and imaginative analysis of the processes currently used by the organization. BPR, therefore, has similarities to benchmarking, as this review of processes can reveal critical points where significant improvements in quality can be made. Business process reengineering was at the height of its popularity in the early to mid-1990s. It has been criticized as one of the root causes of the bouts of downsizing and delayering that have affected many parts of industry. It has also received a negative press because few BPR projects have delivered the benefits expected of them.
    Abbr. BPR

    The ultimate business dictionary > business process reengineering

  • 19 internal cost analysis

    Gen Mgt
    an examination of an organization’s value-creating activities to determine sources of profitability and to identify the relative costs of different processes. Internal cost analysis is a tool for analyzing the value chain. Principal steps include identifying those processes that create value for the organization, calculating the cost of each value-creating process against the overall cost of the product or service, identifying the cost components for each process, establishing the links between the processes, and working out the opportunities for achieving relative cost advantage.

    The ultimate business dictionary > internal cost analysis

  • 20 adquisición

    f.
    acquisition, buy, purchase, acquirement.
    * * *
    1 acquisition (compra) buy, purchase
    * * *
    noun f.
    * * *
    SF
    1) (=compra) acquisition, purchase
    oferta
    2) (=artículo comprado) acquisition
    3) (=persona) acquisition

    la cocinera ha sido una auténtica adquisición — * the cook is a real find *

    4) [de conocimientos, datos] acquisition
    5) [de costumbres] adoption
    * * *
    a) (objeto, cosa) acquisition
    b) ( acción) acquisition
    * * *
    = accession, acquisition, acquisition, procurement, purchase, elicitation, buy-in, getting.
    Ex. Subject to local circumstances, the size of a reserve store should be limited to the accommodation required for about five years' accessions at current rates.
    Ex. Almost inevitably then, many libraries will have acquisitions for which records are not available in a centralised cataloguing service.
    Ex. Mergers and acquisitions are playing an increasing important part in corporate strategies, stimulated by the scramble for market position in the new Europe.
    Ex. In 1983 the EC funded contracts which entailed the procurement of goods and services amounting to 400 million pounds.
    Ex. These details are primarily useful as a record of expenditure or to organisations or individuals contemplating the purchase of a work.
    Ex. Procedures of knowledge elicitation are described.
    Ex. The seminar will deal with the processes of developing and ensuring corporate buy-in to a digital preservation policy.
    Ex. I am an associate director for collections development, and my responsibilities relate to the getting and keeping of collections = Soy subdirector encargado del desarrollo de la colección y mis responsabilidades están relaconadas con la adquisición y mantenimiento de las colecciones.
    ----
    * adquisición cooperativa = cooperative acquisition.
    * adquisición de libros = book supply, book purchasing.
    * adquisición en línea = online acquisition.
    * adquisición gratuita = free acquisition.
    * adquisición pendiente de examen y aceptación = on approval acquisition, sending on approbation, sending on approval.
    * adquisición por compra o intercambio = non-gratuitous acquisition.
    * adquisición por legado = bequest acquisition.
    * adquisición por ordenador = computerised acquisition.
    * área del número normalizado y de las condiciones de adquisición = International Standard Book Number and terms of availability area, standard number and terms of availability area.
    * Asociación Nacional para Adquisiciones (NAG) = National Acquisitions Group (NAG).
    * basado en la adquisición de contenidos teóricos = content based.
    * bibliotecario encargado de las adquisiciones = acquisitions librarian.
    * centro de adquisiciones = acquisition centre.
    * condiciones de adquisición = obtainability conditions.
    * condiciones de adquisición y = terms of availability and/or price.
    * control de adquisiciones = acquisition control.
    * departamento de adquisiciones = acquisitions department.
    * fichero de adquisiciones = acquisition(s) file.
    * lista de nuevas adquisiciones = acquisitions list.
    * lista de últimas adquisiciones = accessions list, list of current acquisitions, addition list.
    * módulo de adquisiciones = acquisitions system, acquisitions module.
    * Módulo de Adquisiciones y Pedidos = Acquisitions and Ordering System.
    * número de adquisiciones = acquisition rate.
    * plan de adquisición de material a vista = approval plan.
    * plan de adquisiciones = acquisitions plan.
    * política de adquisiciones = acquisition policy [acquisitions policy], collection development [collections development], selection policy, collection policy.
    * presupuesto de adquisiciones = acquisitions budget.
    * presupuesto para adquisición de material = capital budget.
    * Programa Nacional para las Adquisiciones y la Catalogación (NPAC) = National Program for Acquisitions and Cataloging (NPAC).
    * sección de adquisiciones = acquisitions department, order department.
    * servicio de adquisiciones = acquisition routines, acquisition(s) service.
    * * *
    a) (objeto, cosa) acquisition
    b) ( acción) acquisition
    * * *
    = accession, acquisition, acquisition, procurement, purchase, elicitation, buy-in, getting.

    Ex: Subject to local circumstances, the size of a reserve store should be limited to the accommodation required for about five years' accessions at current rates.

    Ex: Almost inevitably then, many libraries will have acquisitions for which records are not available in a centralised cataloguing service.
    Ex: Mergers and acquisitions are playing an increasing important part in corporate strategies, stimulated by the scramble for market position in the new Europe.
    Ex: In 1983 the EC funded contracts which entailed the procurement of goods and services amounting to 400 million pounds.
    Ex: These details are primarily useful as a record of expenditure or to organisations or individuals contemplating the purchase of a work.
    Ex: Procedures of knowledge elicitation are described.
    Ex: The seminar will deal with the processes of developing and ensuring corporate buy-in to a digital preservation policy.
    Ex: I am an associate director for collections development, and my responsibilities relate to the getting and keeping of collections = Soy subdirector encargado del desarrollo de la colección y mis responsabilidades están relaconadas con la adquisición y mantenimiento de las colecciones.
    * adquisición cooperativa = cooperative acquisition.
    * adquisición de libros = book supply, book purchasing.
    * adquisición en línea = online acquisition.
    * adquisición gratuita = free acquisition.
    * adquisición pendiente de examen y aceptación = on approval acquisition, sending on approbation, sending on approval.
    * adquisición por compra o intercambio = non-gratuitous acquisition.
    * adquisición por legado = bequest acquisition.
    * adquisición por ordenador = computerised acquisition.
    * área del número normalizado y de las condiciones de adquisición = International Standard Book Number and terms of availability area, standard number and terms of availability area.
    * Asociación Nacional para Adquisiciones (NAG) = National Acquisitions Group (NAG).
    * basado en la adquisición de contenidos teóricos = content based.
    * bibliotecario encargado de las adquisiciones = acquisitions librarian.
    * centro de adquisiciones = acquisition centre.
    * condiciones de adquisición = obtainability conditions.
    * condiciones de adquisición y = terms of availability and/or price.
    * control de adquisiciones = acquisition control.
    * departamento de adquisiciones = acquisitions department.
    * fichero de adquisiciones = acquisition(s) file.
    * lista de nuevas adquisiciones = acquisitions list.
    * lista de últimas adquisiciones = accessions list, list of current acquisitions, addition list.
    * módulo de adquisiciones = acquisitions system, acquisitions module.
    * Módulo de Adquisiciones y Pedidos = Acquisitions and Ordering System.
    * número de adquisiciones = acquisition rate.
    * plan de adquisición de material a vista = approval plan.
    * plan de adquisiciones = acquisitions plan.
    * política de adquisiciones = acquisition policy [acquisitions policy], collection development [collections development], selection policy, collection policy.
    * presupuesto de adquisiciones = acquisitions budget.
    * presupuesto para adquisición de material = capital budget.
    * Programa Nacional para las Adquisiciones y la Catalogación (NPAC) = National Program for Acquisitions and Cataloging (NPAC).
    * sección de adquisiciones = acquisitions department, order department.
    * servicio de adquisiciones = acquisition routines, acquisition(s) service.

    * * *
    1 (objeto, cosa) acquisition
    ¿has visto mi última adquisición? have you seen my latest acquisition o purchase?
    la última adquisición de los Lakers ( Dep) the Lakers' latest acquisition
    2
    (acción): la adquisición de la casa the purchase of the house
    la adquisición de la lengua materna acquisition of the mother tongue
    el Picasso es de reciente adquisición the Picasso is a recent acquisition o purchase
    Compuesto:
    leveraged buyout
    * * *

     

    adquisición sustantivo femenino
    acquisition;
    ( compra) purchase
    adquisición sustantivo femenino
    1 acquisition
    2 (compra) buy, purchase
    ' adquisición' also found in these entries:
    Spanish:
    OPA
    English:
    acquisition
    - takeover bid
    - accession
    - purchase
    - take
    * * *
    1. [compra] purchase;
    ayudas para la adquisición de viviendas financial assistance for house buyers
    2. [de empresa] takeover
    3. [cosa comprada] purchase;
    nuestra casa fue una excelente adquisición our house was an excellent buy
    4. [de hábito, cultura] acquisition;
    adquisición de conocimientos acquisition of knowledge
    Ling adquisición lingüística language acquisition
    5. Fam [persona]
    el nuevo secretario es toda una adquisición the new secretary is quite a find
    * * *
    f acquisition;
    hacer una buena adquisición make a good purchase;
    gastos de adquisición acquisition costs;
    adquisición de clientes client acquisition
    * * *
    1) : acquisition
    2) compra: purchase

    Spanish-English dictionary > adquisición

Страницы

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