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21 выходной листинг
Русско-английский большой базовый словарь > выходной листинг
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22 контрольная распечатка
1. monitor control dummyвыборочная распечатка; селективный дамп — selective dummy
распечатка содержимого экрана; дамп экрана — screen dummy
2. proof listingРусско-английский большой базовый словарь > контрольная распечатка
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23 выходная распечатка
Русско-английский большой базовый словарь > выходная распечатка
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24 роздрук
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25 листинг программы
1) Engineering: program listing2) Information technology: source listing -
26 listado fuente
m.source listing, program listing. -
27 Programmausgabe
f < edv> ■ program output; program listing -
28 распечатка программ
Telecommunications: program listingУниверсальный русско-английский словарь > распечатка программ
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29 programutskrift
subst. (edb) program listing -
30 распечатка исходной программы
Русско-английский словарь по электронике > распечатка исходной программы
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31 распечатка исходной программы
Русско-английский словарь по радиоэлектронике > распечатка исходной программы
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32 будущие пользователи
Будущие пользователи-- A computer program listing and sample output are included for prospective users.Русско-английский научно-технический словарь переводчика > будущие пользователи
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33 ohjelmalistaus
automatic data processing• program listing -
34 програма
program (me)(разписание) timetableполитическа програма a political programmeучебна програма a syllabus (of instruction); a programme of studiesам. curriculumпрограма на театър. playbillпрограма на спортни състезания a list of fixturesno програма by programmeизвън програмата (на концерт) as an encore* * *програ̀ма,ж., -и 1. program(me); ( разписание) timetable; двойна \програмаа (в кино) double feature; извън \програмаата (на концерт) as an encore; по \програмаа by programme; \програмаа за икономическо развитие economic development programme; \програмаа за обмен exchange programme; \програмаа на спортни състезания list of fixtures; \програмаа на театър playbill; \програмаата може да претърпи известни изменения the programme is subject to alteration; регионална \програмаа за действия в областта на околната среда Programme for Regional Environment Measures; телевизионна \програмаа ( във вестник) listing; учебна \програмаа syllabus (of instruction); programme of studies; амер. curriculum;2.: актуализирана \програмаа update programme; блоксхема на \програмаа комп. flow diagram; водеща \програмаа master programme; обслужваща \програмаа service programme; подробна \програмаа explicit programme; помощна \програмаа utility programme; \програмаа за планиране на задачи job scheduler; \програмаа за подреждане на канали channel scheduler; \програмаа за проверка на правописа spellchecker; \програмаа за регистриране и обработка на грешки error processing programme; самовъзстановяваща се \програмаа self-initializing programme.* * *programme (и компютърна): What is the програма for tomorrow? - Каква е програмата за утре?; schedule (график); software (компютърна); timetable (разписание); channel (телевизионна)* * *1. (разписание) timetable: политическа ПРОГРАМА a political programme 2. no ПРОГРАМА by programme 3. program(me) 4. ПРОГРАМА на спортни състезания a list of fixtures 5. ПРОГРАМА на театър. playbill 6. ам. curriculum 7. двойна ПРОГРАМА (в кино) a double feature 8. извън ПРОГРАМАта (на концерт) as an encore 9. учебна ПРОГРАМА a syllabus (of instruction);a programme of studies -
35 программа
agenda, (напр. проведения экспериментов) mission, program, schedule, software* * *програ́мма ж.1. брит. program(me); амер. program2. вчт. ( последовательность команд для решения задачи) program; (последовательность команд для выполненная какой-л. операции) routineвызыва́ть програ́мму — call (in) a programвыполня́ть програ́мму — execute a programнабира́ть програ́мму на коммутацио́нной доске́ — set up a program on a plugboardпрогра́мма нахо́дится [размеща́ется] в … — the program resides in …отла́живать програ́мму — de-bug a programраспеча́тывать програ́мму — list a program, produce a listing of the programакти́вная програ́мма (программа становится активной после загрузки и приведения в готовность к исполнению) — active program (any program that is loaded and ready to be executed is called active)библиоте́чная програ́мма вчт. — library routineпрогра́мма вво́да-вы́вода вчт. — input/ output [I/ O] routineветвя́щаяся програ́мма вчт. — branching programвеща́тельная програ́мма тлв., радио — (broadcast) programвыпуска́ть веща́тельную програ́мму — put a program on the airпрогра́мма в реа́льном масшта́бе вре́мени вчт. — real-time programвспомога́тельная програ́мма вчт. — house-keeping routineпрогра́мма вы́зова суперви́зора вчт. — S.V.C. routineвыполни́мая програ́мма вчт. — executable programгла́вная програ́мма вчт. — main programдиагности́ческая програ́мма вчт. — diagnostic routineдиагности́ческая програ́мма устана́вливает и локализу́ет неиспра́вности в ЭВМ — a diagnostic routine detects and isolates malfunctions in the computerжё́сткая програ́мма вчт. — wired-in programпрогра́мма инициализа́ции ядра́ вчт. — nucleus initialization programинтерфе́йсная програ́мма систе́мы с разделе́нием вре́мени — time-sharing interface programисполни́тельная програ́мма вчт. — executive routineисполни́тельная програ́мма осуществля́ет контро́ль за выполне́нием други́х програ́мм — an executive routine controls the execution of other routinesисхо́дная програ́мма вчт. — source programкана́льная програ́мма вчт. — channel programкана́льная програ́мма управля́ет после́довательностью опера́ций какого-л. кана́ла — a channel program controls a specific sequence of channel operationsпрогра́мма лё́тных испыта́ний — flight test programпрогра́мма маши́нного ана́лиза цепе́й вчт. — network optimization programметапрограмми́рующая програ́мма вчт. — meta-assembly programпрогра́мма ме́тода обраще́ния вчт. — access method routineпо програ́мме ме́тода обраще́ния осуществля́ется переда́ча информа́ции ме́жду гла́вной па́мятью и устро́йствами вво́да-вы́вода — the access method routine moves data between main storage and input/ output devicesнеакти́вная програ́мма (программа, незагруженная или загруженная, но не готовая к исполнению, называется неактивной) — inactive program (an inactive program is that which is loaded but not ready to be executed, or not loaded at all)незави́симая програ́мма вчт. — stand-alone programобраба́тывающая програ́мма вчт. — processing programпрогра́мма обрабо́тки (да́нных) вчт. — processing programпрогра́мма обрабо́тки сообще́ний вчт. — message processing programобслу́живающая програ́мма вчт. — service routineобъе́ктная програ́мма вчт. — object [target] programоверле́йная програ́мма вчт. — overlay programпрогра́мма опера́ции сортиро́вки — объедине́ния вчт. — sort/ merge programоптимизи́рующая програ́мма вчт. — optimizing programпрогра́мма оце́нки состоя́ния систе́мы вчт. — damage assessment routineпрогра́мма пере́днего пла́на вчт. — foreground programпрогра́мма печа́ти вчт. — print routineпрогра́мма представле́ния информа́ции на видеодиспле́е вчт. — graphic display programпрогра́мма прерыва́ния вчт. — interrupt routineпробле́мная програ́мма вчт. — problem programрезиде́нтная програ́мма вчт. — resident programпрогра́мма специа́льного примене́ния (программа, написанная для пользователя или пользователем для его собственных нужд, называется программой специального применения) — application program (an application program is that which is written for or by a user and applies to his own work)транзи́тная програ́мма вчт. — transit routineпрогра́мма трассиро́вки вчт. — tracing routineпрогра́мма управле́ния сообще́ниями вчт. — message control programуправля́ющая програ́мма — control programуправля́ющая програ́мма плани́рует обрабо́тку да́нных и осуществля́ет контро́ль за её́ исполне́нием — a control program schedules and supervises the performance of data processingфо́новая програ́мма вчт. — background program -
36 распечатка на языке ассемблера
1. assembly language listingсистема компоновки; ассемблер — assembly system
2. assembly listing3. symbolic assembly language listingРусско-английский большой базовый словарь > распечатка на языке ассемблера
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37 листинг на языке ассемблера
Русско-английский большой базовый словарь > листинг на языке ассемблера
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38 выборочная распечатка
1. sekective listingраспечатка ссылок; листинг ссылок — reference listing
2. selective dumpраспечатка программы; сброс программы — program dump
3. selective dummyвыборочная распечатка; селективный дамп — selective dummy
распечатка содержимого экрана; дамп экрана — screen dummy
Русско-английский большой базовый словарь > выборочная распечатка
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39 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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40 распечатка
1) General subject: blowback (документов по делу, в том числе ранее отсканированных. Как правило, автоматизированная, в больших объёмах и с соблюдением особых судебно-процессуальных требований к маркировке или нумерации), dump (памяти), listing2) Computers: file print, print-out3) Colloquial: handout4) Engineering: hard copy, list output, listing output, output listing5) Polygraphy: computer output printing, hardcopy, listing (ЭВМ), output hardcopy6) Information technology: dump (содержимого памяти), indicative dump, print, printing, program register8) Mechanics: hardcopy recording9) Patents: printout (вывод данных на печатающее устройство)10) Automation: hardcopy recording (данных, хранящихся в памяти), printed list, printed listing, (машинная) printout, protocol, reams (данных)
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См. также в других словарях:
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program — program, schedule, timetable, agenda denote a formulated plan listing things to be done or to take place, especially in their time order. Program is the term of widest application. It may refer to a mental plan or to one that is written or… … New Dictionary of Synonyms
program — [n1] agenda, list affairs, appointments, arrangements, bill, bulletin, business, calendar, card, catalog, chores, curriculum, details, docket, happenings, index, lineup, listing, meetings, memoranda, necessary acts*, order of business*, order of… … New thesaurus
Program The Dead — Infobox musical artist Name = Img capt = Live at The Whisky A GoGo Img size = Landscape = Background = group or band Alias = Origin = Los Angeles, California Genre = Rock Indie rock Psychedelic rock Years active = 2001 present Label = Unsigned… … Wikipedia
program — 1. noun /ˈpɹoʊɡɹæm,ˈpɹəʊɡɹam,ˈpɹoʊɡɹæm,ˈpɹoʊɡɹəm/ a) A set of structured activities. b) A leaflet listing information about a play, game or other activity. Syn: playbill, application 2. verb /ˈpɹoʊɡɹæm,ˈpɹəʊɡɹam,ˈpɹoʊɡɹæm,ˈpɹoʊɡɹəm/ … Wiktionary
program — n 1. schedule, agenda, calendar, order of the day, protocol; docket, book, slate, listing, guide; menu, bill of fare, Fr. carte du jour; list, card, bill, scroll, rota, Inf. line up, roster, Baseball. batting order; playbill, list of players,… … A Note on the Style of the synonym finder
Type-in program — NOTOC A type in program, or just type in, is a computer program listing printed in a computer magazine or book, meant to be typed in by the reader in order to run the program on a computer. Very common in the early home computer era of the late… … Wikipedia
Electronic program guide — An electronic program(me) guide (EPG) or interactive program(me) guide (IPG) or electronic service guide (ESG) is an on screen guide to scheduled broadcast television or radio programs, typically with functions allowing a viewer to navigate,… … Wikipedia
High-yield investment program — A High Yield Investment Program (HYIP) is a type of Ponzi Scheme, which is an investment scam. At one time, HYIP was used in the financial services sector to refer to an investment program which may have offered a high return on investment. The… … Wikipedia
Troubled Asset Relief Program — TARP redirects here. For other uses, see Tarp. This article is about the Treasury fund. For the legislative bill and subsequent law, see Public Law 110 343. For the legislative history and the events leading to the law, see Emergency Economic… … Wikipedia
NASA STI Program — NASA Center for AeroSpace Information (CASI) The Scientific and Technical Information Program Office (STIPO) of the National Aeronautics and Space Administration (NASA) collects, organizes, preserves, and releases the Agency s scientific and… … Wikipedia
