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1 test synthesis
Большой англо-русский и русско-английский словарь > test synthesis
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2 test synthesis
English-Russian dictionary of computer science and programming > test synthesis
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3 test synthesis
The English-Russian dictionary on reliability and quality control > test synthesis
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4 synthesis
- automata synthesis
- behavioral synthesis
- constructive speech synthesis
- constructive synthesis
- functional synthesis
- image synthesis
- logic synthesis
- logical synthesis
- micro-architecture synthesis
- picture synthesis
- schematic synthesis
- speech synthesis
- structure synthesis
- synthesis by rule
- synthesis through analysis
- test synthesis
- timing-driven synthesisEnglish-Russian dictionary of computer science and programming > synthesis
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5 nondestructive test analysis
English-Russian dictionary on nuclear energy > nondestructive test analysis
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6 spot test analysis
English-Russian dictionary on nuclear energy > spot test analysis
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7 синтез тестов
Большой англо-русский и русско-английский словарь > синтез тестов
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8 синтез тестов
Русско-английский словарь по вычислительной технике и программированию > синтез тестов
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9 conocimiento
m.1 knowledge.hablar/actuar con conocimiento de causa to know what one is talking about/doingponer algo en conocimiento de alguien to bring something to somebody's attention, to inform somebody of somethingtener conocimiento de algo to be aware of somethingha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy2 consciousness (sentido, conciencia).perder/recobrar el conocimiento to lose/regain consciousnessestaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor3 awareness, consciousness, cognizance.* * *2 (sensatez) good sense3 (conciencia) consciousness\con conocimiento de causa with full knowledge of the factsperder el conocimiento to lose consciousnessponer algo en conocimiento de alguien to make something known to somebody, inform somebody of somethingrecobrar el conocimiento to regain consciousness, come roundtener conocimiento de algo to know about something* * *noun m.1) knowledge* * *SM1) (=saber) knowledgeconocimientos — (=nociones) knowledge sing
mis pocos conocimientos de filosofía/cocina — my limited knowledge of philosophy/cookery
2) (=información) knowledgeel encuentro tuvo lugar sin conocimiento público — the meeting took place without the public's knowledge
•
dar conocimiento de algo, dimos conocimiento del robo a la policía — we informed the police about the robbery•
llegar a conocimiento de algn — to come to sb's attention o notice•
tener conocimiento de algo, aún no tenemos conocimiento de su detención — we still do not know that he has been arrestedse les informó al tenerse conocimiento del suceso — they were informed as soon as it was known what had happened
desea ponerlo en conocimiento público — he wants it brought to the public's attention, he wishes it to be made public
el Ministro ha puesto en conocimiento del rey su decisión — the minister has informed the king of his decision
conocimiento de causa, hacer algo con conocimiento de causa — to be fully aware of what one is doing
3) (=consciencia) consciousnessrecobrar o recuperar el conocimiento — to regain consciousness
4) (=sentido común) common sense5) (Jur) cognizance frm6) (Com)* * *1)a) ( saber) knowledgeb) conocimientos masculino plural ( nociones) knowledge2) (frml) ( información)dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something
pongo en su conocimiento que... — (Corresp) I am writing to inform you that...
llegar a conocimiento de alguien — to come to somebody's attention o notice (frml)
con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about
3) ( sentido) consciousnessperder/recobrar el conocimiento — to lose/regain consciousness
4) ( entendimiento)aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand
* * *= cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.Ex. The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.Ex. SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.Ex. Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.Ex. Its primary function is to provide a centre for software and hardware expertise for its members.Ex. Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.Ex. The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.Ex. The human indexer works mechanically and rapidly; he should require no insight into the document content.Ex. These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.Ex. It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.Ex. It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.Ex. We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.Ex. The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.Ex. This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.Ex. For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.----* actualizar los conocimientos = upgrade + Posesivo + skills.* adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.* ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.* ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.* análisis de áreas del conocimiento = domain analysis.* análisis de dominios del conocimiento = domain analysis.* aprendizaje rico en conocimiento = knowledge-rich learning.* área de conocimiento = area of study.* área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.* aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.* aumento del conocimiento = knowledge building.* bannco de conocimiento = knowledge bank.* basado en el conocimiento = knowledge-based.* basado en las disciplinas del conocimiento = discipline-based.* bibliotecario con conocimientos de medicina = informationist.* búsqueda del conocimiento = quest for/of knowledge.* campo del conocimiento = field of knowledge.* centrado en el conocimiento = knowledge-centric.* ciencia del conocimiento = cognitive science.* compartir el conocimiento = knowledge sharing, pool + knowledge.* con conocimiento = authoritatively.* con conocimiento básico en el manejo de la información = information literate [information-literate].* con conocimiento básico en el uso de la biblioteca = library literate [library-literate].* con conocimiento de = appreciative of, conversant with.* con conocimiento de causa = knowingly, knowingly.* con conocimiento de informática = computer literate [computer-literate].* con conocimiento en el uso de Internet = Internet-savvy.* con conocimientos en = versed in.* con conocimientos sobre el correo electrónico = e-mail literate.* con el conocimiento de que = on the understanding that.* conjunto de conocimientos = body of knowledge.* conocimiento académico = academic knowledge.* conocimiento acumulado sobre un tema = lore.* conocimiento básico = working familiarity, working knowledge.* conocimiento científico = scientific knowledge.* conocimiento compartido = knowledge sharing.* conocimiento de base = foundation study.* conocimiento de cómo sobrevivir en el bosque = woodcraft.* conocimiento de embarque = bill of lading.* conocimiento de la existencia = awareness.* conocimiento de lengua = language skill.* conocimiento del objeto = object knowledge.* conocimiento de los diferentes soportes = media competency.* conocimiento detallado = intimate knowledge.* conocimiento de un área temática = area knowledge.* conocimiento documentado = recorded knowledge.* conocimiento enciclopédico = factual knowledge.* conocimiento en tecnología = technological skill.* conocimiento específico = expert knowledge.* conocimiento experto = expert knowledge, expertise.* conocimiento explícito = explicit knowledge.* conocimiento factual = declarative knowledge.* conocimiento humano = human consciousness.* conocimiento humano, el = human record, the.* conocimiento indígena = indigenous knowledge.* conocimiento lingüístico = language skill.* conocimiento mutuo = mutual knowledge.* conocimiento pasivo = nodding acquaintance.* conocimiento pleno = awareness.* conocimiento práctico = working knowledge, procedural knowledge.* conocimiento previo = foreknowledge.* conocimientos = knowledge base [knowledge-base].* conocimientos básicos = literacy.* conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.* conocimientos básicos de documentación = information literacy.* conocimientos básicos de informática = computer literacy.* conocimientos básicos en tecnología = technical literacy.* conocimientos básicos sobre el uso de las bibliotecas = library skills.* conocimientos de tecnología = techno-savvy, tech-savvy.* conocimientos en el manejo de la información = info-savvy.* conocimiento sobre una materia = subject knowledge.* conocimientos requeridos = job specs.* conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.* conocimiento técnico = know-how, technical knowledge.* conocimiento teórico = declarative knowledge.* con poco conocimiento de las nuevas tecnologías = technologically challenged.* corpus de conocimiento = corpus of knowledge.* crear un fondo común de conocimientos = pool + knowledge.* cúmulo de conocimiento = repository of knowledge, knowledge repository.* decisión con conocimiento de causa = informed decision.* difundir el conocimiento = spread + knowledge.* director ejecutivo de la gestión del conocimiento = knowledge executive.* dominio del conocimiento = knowledge domain.* economía basada en el conocimiento = knowledge driven economy.* economía del conocimiento = knowledge economy.* Era del Conocimiento, la = Knowledge Age, the.* estructuración del conocimiento = knowledge structuring.* examinar los conocimientos = test + knowledge.* falta de conocimiento = unfamiliarity.* filtro del conocimiento = knowledge filter.* fomentar el conocimiento = advance + knowledge.* fondo común de conocimientos = pool of knowledge, pool of expertise.* frontera del conocimiento = frontier of knowledge.* fundamentos del conocimiento, los = foundations of knowledge, the.* gestión del conocimiento = knowledge management (KM).* gestor del conocimiento = knowledge worker, knowledge manager.* hacer avanzar el conocimiento = push back + the frontiers of knowledge.* hacer gala del conocimiento que uno tiene = air + knowledge.* hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.* hacer uso de un conocimiento = draw on/upon + knowledge.* impartir conocimiento = impart + knowledge.* inculcar conocimiento = instil + knowledge.* ingeniería del conocimiento = knowledge engineering.* ingeniero del conocimiento = knowledge engineer.* institucion del conocimiento = institution of learning.* intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.* jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).* metaconocimiento = meta-knowledge.* navegación por el conocimiento = knowledge navigation.* navegador del conocimiento = knowledge navigator.* obtener conocimiento = gain + an understanding.* ofrecer conocimiento = package + knowledge.* perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.* pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.* personas sin conocimientos técnicos, las = non-technical, the.* presentar conocimiento = package + knowledge.* producto del conocimiento = knowledge record.* profundizar en el conocimiento = deepen + knowledge.* propagar el conocimiento = propagate + knowledge.* proporcionar conocimientos técnicos = supply + know-how.* quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.* rama del conocimiento = branch of learning.* recobrar el conocimiento = regain + Posesivo + consciousness.* recuperar el conocimiento = regain + Posesivo + consciousness.* red de conocimiento = knowledge network.* servidor del conocimiento = knowledge server.* sin conocimiento = unconscious.* sin conocimiento de causa = unbeknown to, unbeknownst to.* sintetizar el conocimiento = synthesise + knowledge.* sistema basado en el conocimiento = knowledge-base system.* sistema de gestión del conocimiento = knowledge management system (KMS).* sociedad basada en el conocimiento = knowledge based society.* sociedad del conocimiento = knowledge society.* Sociedad para el Conocimiento Global = Global Knowledge Partnership.* suministrar conocimientos técnicos = supply + know-how.* tener conocimiento de = be privy to, be aware of.* toma de decisiones con conocimiento de causa = informed decision making.* tomar decisiones con conocimiento de causa = make + informed decisions.* transferencia de conocimiento = transfer of knowledge, knowledge transfer.* utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.* * *1)a) ( saber) knowledgeb) conocimientos masculino plural ( nociones) knowledge2) (frml) ( información)dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something
pongo en su conocimiento que... — (Corresp) I am writing to inform you that...
llegar a conocimiento de alguien — to come to somebody's attention o notice (frml)
con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about
3) ( sentido) consciousnessperder/recobrar el conocimiento — to lose/regain consciousness
4) ( entendimiento)aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand
* * *= cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.Ex: The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.
Ex: SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.Ex: Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.Ex: Its primary function is to provide a centre for software and hardware expertise for its members.Ex: Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.Ex: The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.Ex: The human indexer works mechanically and rapidly; he should require no insight into the document content.Ex: These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.Ex: It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.Ex: It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.Ex: We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.Ex: The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.Ex: This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.Ex: For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.* actualizar los conocimientos = upgrade + Posesivo + skills.* adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.* ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.* ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.* análisis de áreas del conocimiento = domain analysis.* análisis de dominios del conocimiento = domain analysis.* aprendizaje rico en conocimiento = knowledge-rich learning.* área de conocimiento = area of study.* área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.* aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.* aumento del conocimiento = knowledge building.* bannco de conocimiento = knowledge bank.* basado en el conocimiento = knowledge-based.* basado en las disciplinas del conocimiento = discipline-based.* bibliotecario con conocimientos de medicina = informationist.* búsqueda del conocimiento = quest for/of knowledge.* campo del conocimiento = field of knowledge.* centrado en el conocimiento = knowledge-centric.* ciencia del conocimiento = cognitive science.* compartir el conocimiento = knowledge sharing, pool + knowledge.* con conocimiento = authoritatively.* con conocimiento básico en el manejo de la información = information literate [information-literate].* con conocimiento básico en el uso de la biblioteca = library literate [library-literate].* con conocimiento de = appreciative of, conversant with.* con conocimiento de causa = knowingly, knowingly.* con conocimiento de informática = computer literate [computer-literate].* con conocimiento en el uso de Internet = Internet-savvy.* con conocimientos en = versed in.* con conocimientos sobre el correo electrónico = e-mail literate.* con el conocimiento de que = on the understanding that.* conjunto de conocimientos = body of knowledge.* conocimiento académico = academic knowledge.* conocimiento acumulado sobre un tema = lore.* conocimiento básico = working familiarity, working knowledge.* conocimiento científico = scientific knowledge.* conocimiento compartido = knowledge sharing.* conocimiento de base = foundation study.* conocimiento de cómo sobrevivir en el bosque = woodcraft.* conocimiento de embarque = bill of lading.* conocimiento de la existencia = awareness.* conocimiento de lengua = language skill.* conocimiento del objeto = object knowledge.* conocimiento de los diferentes soportes = media competency.* conocimiento detallado = intimate knowledge.* conocimiento de un área temática = area knowledge.* conocimiento documentado = recorded knowledge.* conocimiento enciclopédico = factual knowledge.* conocimiento en tecnología = technological skill.* conocimiento específico = expert knowledge.* conocimiento experto = expert knowledge, expertise.* conocimiento explícito = explicit knowledge.* conocimiento factual = declarative knowledge.* conocimiento humano = human consciousness.* conocimiento humano, el = human record, the.* conocimiento indígena = indigenous knowledge.* conocimiento lingüístico = language skill.* conocimiento mutuo = mutual knowledge.* conocimiento pasivo = nodding acquaintance.* conocimiento pleno = awareness.* conocimiento práctico = working knowledge, procedural knowledge.* conocimiento previo = foreknowledge.* conocimientos = knowledge base [knowledge-base].* conocimientos básicos = literacy.* conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.* conocimientos básicos de documentación = information literacy.* conocimientos básicos de informática = computer literacy.* conocimientos básicos en tecnología = technical literacy.* conocimientos básicos sobre el uso de las bibliotecas = library skills.* conocimientos de tecnología = techno-savvy, tech-savvy.* conocimientos en el manejo de la información = info-savvy.* conocimiento sobre una materia = subject knowledge.* conocimientos requeridos = job specs.* conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.* conocimiento técnico = know-how, technical knowledge.* conocimiento teórico = declarative knowledge.* con poco conocimiento de las nuevas tecnologías = technologically challenged.* corpus de conocimiento = corpus of knowledge.* crear un fondo común de conocimientos = pool + knowledge.* cúmulo de conocimiento = repository of knowledge, knowledge repository.* decisión con conocimiento de causa = informed decision.* difundir el conocimiento = spread + knowledge.* director ejecutivo de la gestión del conocimiento = knowledge executive.* dominio del conocimiento = knowledge domain.* economía basada en el conocimiento = knowledge driven economy.* economía del conocimiento = knowledge economy.* Era del Conocimiento, la = Knowledge Age, the.* estructuración del conocimiento = knowledge structuring.* examinar los conocimientos = test + knowledge.* falta de conocimiento = unfamiliarity.* filtro del conocimiento = knowledge filter.* fomentar el conocimiento = advance + knowledge.* fondo común de conocimientos = pool of knowledge, pool of expertise.* frontera del conocimiento = frontier of knowledge.* fundamentos del conocimiento, los = foundations of knowledge, the.* gestión del conocimiento = knowledge management (KM).* gestor del conocimiento = knowledge worker, knowledge manager.* hacer avanzar el conocimiento = push back + the frontiers of knowledge.* hacer gala del conocimiento que uno tiene = air + knowledge.* hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.* hacer uso de un conocimiento = draw on/upon + knowledge.* impartir conocimiento = impart + knowledge.* inculcar conocimiento = instil + knowledge.* ingeniería del conocimiento = knowledge engineering.* ingeniero del conocimiento = knowledge engineer.* institucion del conocimiento = institution of learning.* intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.* jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).* metaconocimiento = meta-knowledge.* navegación por el conocimiento = knowledge navigation.* navegador del conocimiento = knowledge navigator.* obtener conocimiento = gain + an understanding.* ofrecer conocimiento = package + knowledge.* perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.* pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.* personas sin conocimientos técnicos, las = non-technical, the.* presentar conocimiento = package + knowledge.* producto del conocimiento = knowledge record.* profundizar en el conocimiento = deepen + knowledge.* propagar el conocimiento = propagate + knowledge.* proporcionar conocimientos técnicos = supply + know-how.* quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.* rama del conocimiento = branch of learning.* recobrar el conocimiento = regain + Posesivo + consciousness.* recuperar el conocimiento = regain + Posesivo + consciousness.* red de conocimiento = knowledge network.* servidor del conocimiento = knowledge server.* sin conocimiento = unconscious.* sin conocimiento de causa = unbeknown to, unbeknownst to.* sintetizar el conocimiento = synthesise + knowledge.* sistema basado en el conocimiento = knowledge-base system.* sistema de gestión del conocimiento = knowledge management system (KMS).* sociedad basada en el conocimiento = knowledge based society.* sociedad del conocimiento = knowledge society.* Sociedad para el Conocimiento Global = Global Knowledge Partnership.* suministrar conocimientos técnicos = supply + know-how.* tener conocimiento de = be privy to, be aware of.* toma de decisiones con conocimiento de causa = informed decision making.* tomar decisiones con conocimiento de causa = make + informed decisions.* transferencia de conocimiento = transfer of knowledge, knowledge transfer.* utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.* * *A1 (saber) knowledgetiene algunos conocimientos de inglés he has some knowledge of English, he knows some EnglishB ( frml)(información): dio conocimiento del suceso a las autoridades he informed o ( frml) apprised the authorities of the incidentpuso el hecho en conocimiento de la policía she informed the police of the incident, she reported the incident to the policepongo en su conocimiento que … ( Corresp) I am writing to inform you that …al tener conocimiento del suceso upon learning of the incident ( frml)a esas horas no se tenía todavía conocimiento de la noticia at that time we/they still had not heard the newsciertas personas tienen conocimiento de sus actividades certain people are aware of her activitiesllegar a conocimiento de algn to come to sb's attention o notice ( frml)con conocimiento de causa: obró con conocimiento de causa ( frml); he took this step, fully aware of what the consequences would bete lo digo con conocimiento de causa I know what I'm talking aboutCompuesto:bill of lading, waybillC (sentido) consciousnessperder el conocimiento to lose consciousnesscuando recobró el conocimiento when he regained consciousness, when he came to o roundestar sin conocimiento to be unconsciousD(entendimiento): aún es pequeño, no tiene todavía conocimiento he's not old enough to understand* * *
conocimiento sustantivo masculino
poner algo en conocimiento de algn to inform sb of sth;
tener conocimiento de algo to be aware of sth
◊ perder/recobrar el conocimiento to lose/regain consciousness;
estar sin conocimiento to be unconscious
conocimiento sustantivo masculino
1 knowledge
2 (conciencia) consciousness
3 conocimientos, knowledge
♦ Locuciones: perder/recobrar el conocimiento, to lose/regain consciousness
con conocimiento de causa, with full knowledge of the facts
' conocimiento' also found in these entries:
Spanish:
braga
- ciencia
- conciencia
- desfallecer
- desvanecerse
- dominio
- error
- orientación
- parcela
- revelar
- sentida
- sentido
- experiencia
- perder
- pérdida
- reanimar
- recobrar
- saber
English:
acquaintance
- air
- black out
- blackout
- cognizance
- come to
- comprehensive
- consciousness
- familiarity
- grounding
- improve
- knock out
- knowledge
- notice
- privy
- recover
- self-awareness
- sketchy
- superficial
- thorough
- unconsciousness
- black
- knock
- know
- pass
* * *conocimiento nm1. [saber] knowledge;hablar/actuar con conocimiento de causa to know what one is talking about/doing;puso el robo en conocimiento de la policía she informed the police of the burglary;ponemos en su conocimiento que se ha detectado un error en el programa this is to inform you that an error has been detected in the program;no teníamos conocimiento de su dimisión we were not aware that he had resigned;al tener conocimiento del accidente, acudió inmediatamente al hospital when she found out about the accident she immediately went to the hospital;ha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy2.conocimientos [nociones] knowledge;tengo algunos conocimientos de informática I have some knowledge of computers, I know a bit about computers;nuestros conocimientos acerca de la enfermedad son muy limitados our knowledge of the disease is very limited, we know very little about the disease3. [sentido, conciencia] consciousness;perder el conocimiento to lose consciousness;recobrar el conocimiento to regain consciousness;estaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor4. [juicio] (common) sense;no tiene todavía conocimiento para saber lo que es peligroso he doesn't yet have a sense of danger* * *m1 knowledge;poner alguien en conocimiento de algo inform s.o. of sth;para su conocimiento for your information;conocimientos pl ( nociones) knowledge sg2 MED consciousness;perder el conocimiento lose consciousness;sin conocimiento unconscious;recobrar el conocimiento regain consciousness* * *conocimiento nm1) : knowledge2) sentido: consciousness* * *1. (en general) knowledge2. (sentido) consciousness -
10 technique
1. техника, технические приемы; технология2. метод; методика; способanalytical techniqueanti-stealth techniqueartificial intelligence techniquesbackside techniquebuild-up techniquecartographic techniquescentered-difference integration techniquecontrol techniquecontrol-movement techniquesconvergence techniquecounter-stealth techniquescurve-fitting techniquede-icing techniquedecomposition techniquedesign techniquedisplay techniquedouble-balance techniquedrop-model techniquedual-stick dropping techniquefatigue prediction techniquefatigue estimation techniquefirefighting techniquesflight test techniqueflight testing techniquefloating shock fitting techniqueflux-corrected techniquefly-by-wire techniqueflying techniquesforced-oscillation techniquefrequency-domain techniquefrontside techniquefrontside control techniquegolden section techniquegradient projection techniquegrid generation techniquehelideck techniqueidentification techniqueilluminated helium bubble techniqueinspection techniqueintegration techniqueinterferometer techniquemaneuver techniquemapping techniquesmaximum likelihood estimation techniquemeasuring techniquemodel reference techniquemodel-based techniqueMoire techniquesmoving model techniquemultivariable techniquemultivariable synthesis techniquenoise canceling techniqueoperational techniquesoptimal-control techniquepainting techniqueparameter-insensitive techniquepilot techniquepredictor-corrector techniquepulse-echo techniquequadratic control techniqueradar-reflection-reducing techniquerecognition techniquerecursive techniquerepair techniquerigid body maneuvering techniquerobust techniqueroot locus synthesis techniquescattering techniquescheduling techniquesealing techniqueshadowgraph techniquespiral departure techniquestate-space techniquestealth techniquesstealthy techniquesstickshaker techniquesublimating chemical techniquesuperelement techniquesuperplastic forming/diffusion bonding techniquessurface mount techniquesurface mounting techniquetail-dragger techniquetaxy techniquetest techniquetorquing techniquetrailing cone techniquetransformation techniquetufting techniquevapor-screen techniquevisualization techniqueVTO techniqueweight-saving structural techniqueweighted least-squares solution technique -
11 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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12 Creativity
Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)11) The Earliest Stages in the Creative Process Involve a Commerce with DisorderEven to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)[P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)Historical dictionary of quotations in cognitive science > Creativity
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13 до
•The lake is up to 600 m deep.
•As many as 50 individual reaction steps might be necessary for complete synthesis.
•If the region of accumulation is extended as far as the emitter...
•These losses may be as much as 1.5% of the silver present.
•Barretters can measure powers as small as 10-8 watt.
•We have made wire in sizes down to 0.005 in diameter.
•The heater will heat the gas to the desired temperature.
•This will heat the thermistor enough to lower the resistance to 200 ohms.
•Pieces weighing up to (or not over) three kilograms may be used for the test.
II•The group I tRNAs arose prior to the others (биол.).
•Prior to the seventeenth century...
•Until the Three Mile Island accident the most widely discussed type of reactor malfunction was...
•Prior to testing, all specimens were dried.
•This decreases time to rupture.
•Paste adhesives are knife-coated to uniform thickness.
IV. перед•A globe valve is installed in the supply air line, upstream from (or of) the reducer, so that the air may be shut off by hand.
см. с точностью до* * *До(критический)-- In this and the sections that follow, reference is made to the subcritical, critical and supercritical ranges of Reynolds number. До -- prior to, previous to, in advance of, before, until, pending (прежде чем); to, until, as high as, up to, down to (вплоть до)Any changes proposed subsequent to Purchase Order placement shall not be made prior to agreement with the company.They should check the suitability of the load for treatment in advance of shipment.The test unit will be subjected to a limited post-test inspection program pending its removal from the test rig.Mach numbers as high as 0.7 were considered in the present study.Errors in concentricity can be assessed and recorded on polar graphs at magnifications of up to 10,000.Русско-английский научно-технический словарь переводчика > до
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14 analysis
1) анализ2) исследование, изучение4) расчет ( обычно проверочный)5) состав6) теория•-
activation analysis
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algorithmic analysis
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amino acid analysis
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approximate analysis
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Auger-electron analysis
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backward analysis
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base ratio analysis
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behavioral analysis
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bending analysis
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bottom-up analysis
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boundary-element analysis
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brittle coating analysis
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buckling analysis
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bulk analysis
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carbon group analysis
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cepstral analysis
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chemical analysis
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chromatographic analysis
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circuit analysis
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circuit malfunotion analysis
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closed boundary analysis
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clustering analysis
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cluster analysis
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coal-sizing analysis
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combustion analysis
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comfirmatory analysis
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comparative analysis
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compensation analysis
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component analysis of casing head gas
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computer aided analysis
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core analysis
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correlation analysis
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coupled-mode analysis
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covariance analysis
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criticality analysis
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cross correlation analysis
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cross-field analysis
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cryoscopic analysis
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crystal analysis
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cylindrical mirror Auger analysis
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data analysis
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depth-area-duration analysis
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destructive analysis
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diagnostic analysis
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differential thermal analysis
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diffraction analysis
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dilatometric analysis
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discourse analysis
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discriminant analysis
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dispersion analysis
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distortion analysis
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dynamic force analysis
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ecological analysis
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economic analysis
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elastic-plastic stress analysis
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electron diffraction analysis
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electron microprobe analysis
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electron probe analysis
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emission analysis
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end-point analysis
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energy-dispersive analysis
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environmental analysis
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error analysis
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event-sequence analysis
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extinction analysis
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factor analysis
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failure analysis
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failure cause analysis
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fast neutron activation analysis
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field analysis
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fine-mesh analysis
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fingerprint analysis
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finite-element analysis
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float-and-sink analysis
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fluorescence analysis
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formation damage analysis
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four-dimensional analysis
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Fourier analysis
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fractional analysis
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frequency analysis
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frequency-domain analysis
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frequency-response analysis
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frontal analysis
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fuel analysis
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gamma-ray analysis
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gradation analysis of soil
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grading analysis
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gravimetric analysis
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grid-point analysis
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group analysis
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harmonic analysis
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Hempel analysis
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heteroduplex analysis
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hot-extraction gas analysis
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hydrograph analysis
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immunoblot analysis
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infrared analysis
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Interactive analysis
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interactive image analysis
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ion microprobe mass analysis
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ladle analysis
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large-sample analysis
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least-square analysis
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limit state analysis
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linear analysis
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logical analysis
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logic analysis
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magnetometric analysis
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malfunction analysis
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market analysis
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mass spectrographic analysis
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mass spectrometric analysis
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mathematical analysis
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matrix analysis
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measure analysis
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mechanical analysis
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mesh analysis
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microprobe analysis
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microprobe-inclusion analysis
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microscopical analysis
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microstructure analysis
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mobility-shift analysis
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modal analysis
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model-based analysis
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model analysis
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moire stress analysis
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molecular spectrum analysis
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multilevel analysis
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multivariate analysis
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NDT analysis
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nearest neighbor analysis
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nephelometric analysis
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network analysis
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neutron diffraction analysis
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nodal analysis
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noise analysis
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nondestructive test analysis
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noninvasive analysis
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numerical analysis
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observational analysis
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octave analysis
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oil type analysis
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on-line analysis
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operations analysis
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opticospectral analysis
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parametric analysis
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particle-size analysis
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periodogram analysis
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perturbation analysis
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petrographic analysis
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phase shift analysis of the scattering
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phase-plane analysis
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photoelastic-coating analysis
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photoelasticity analysis
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polarographic analysis
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pore-size analysis
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postaccident criticality analysis
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posttest analysis
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predictive analysis
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pretest analysis
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probit analysis
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proximate analysis
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qualitative analysis
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quantitative analysis
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radioactive tracer analysis
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radiographic analysis
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RAM analysis
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rapid analysis
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real-time analysis
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regression analysis
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release analysis
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reliability analysis
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reliability availability maintainability analysis
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revolving field analysis
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ring analysis
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Rutherford scattering analysis
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safety transit analysis
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sample analysis
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sampling analysis
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scale analysis
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screen analysis
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sea-level analysis
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sedimentation analysis
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shear analysis
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sieve analysis
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signature analysis
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simulated network analysis
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single burst analysis
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slag analysis
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small signal analysis
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solar resource analysis
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spatial frequency analysis
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spectral analysis
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spectrophotometric analysis
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speculative analysis
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spot test analysis
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stack-gas analysis
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standing wave analysis
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statistical analysis
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stiffness analysis
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strain-gage analysis
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strength analysis
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stress analysis
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structural analysis
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subsynoptic-scale analysis
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symbolic analysis
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syntactic analysis
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systems analysis
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system analysis
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tapping analysis
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temporal pulse analysis
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tensor analysis
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test sieve analysis
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thermal analysis
-
thermoeconomic analysis
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thermographic analysis
-
thermogravimetric analysis
-
thermomagneto-gravimetric analysis
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three-dimensional analysis
-
time series analysis
-
timing analysis
-
top-down analysis
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trace analysis
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transient analysis
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triangular hydrograph analysis
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ultimate analysis
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upper-level analysis
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variance analysis
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vault-pathways analysis
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vector analysis
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wandering spot analysis
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water analysis
-
wave analysis
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weather analysis
-
wet analysis
-
worst-case analysis
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X-ray absorption analysis
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X-ray analysis
-
X-ray crystal analysis
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X-ray dispersive analysis
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X-ray emission analysis
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X-ray image analysis
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X-ray spectrum analysis
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X-ray structure analysis
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Zuber's hydrodynamic analysis -
15 system
1) система || системный3) вчт операционная система; программа-супервизор5) вчт большая программа6) метод; способ; алгоритм•system halted — "система остановлена" ( экранное сообщение об остановке компьютера при наличии серьёзной ошибки)
- CPsystem- H-system- h-system- hydrogen-air/lead battery hybrid system- Ksystem- Lsystem- L*a*b* system- master/slave computer system- p-system- y-system- Δ-system -
16 анализ
analysis, dissection, examination, investigation, scan, scanning, test, review, study* * *ана́лиз м.
analysis, determination; ( визуальный) examinationне попада́ть в ана́лиз (о сплавах и т. п.) — be out of controlподверга́ть, напр. люминесце́нтному ана́лизу — analyze by, e. g., fluorescenceподверга́ть стро́гому ана́лизу мат. — subject to a rigorous analysis, analyze rigorously [in rigorous terms]поддава́ться ана́лизу — be analysableпопада́ть в ана́лиз (о сплавах и т. п.) — be in controlпри ана́лизе систе́ма разделя́ется [разбива́ется] на … — a system is analyzed into …проводи́ть ана́лиз — carry out [make, perform] an analysisпроводи́ть ана́лиз на … — carry out an analysis for …, analyze for …абсорбцио́нный ана́лиз — absorption analysisадсорбцио́нный ана́лиз — adsorption analysisактивацио́нный ана́лиз — (radio)activation analysisактивацио́нный, радиохими́ческий ана́лиз — activation analysis with radiochemical separationарбитра́жный ана́лиз — arbitrary [arbitration] analysisана́лиз бесконе́чно ма́лых мат. — infinitesimal calculusбиохими́ческий ана́лиз — biochemical analysisвалово́й ана́лиз — bulk [total, gross] analysisвариацио́нный ана́лиз — analysis of varianceве́кторный ана́лиз — vector analysisвесово́й ана́лиз — weight [gravimetric] analysisвеще́ственный ана́лиз — substantial [material] analysisволюмометри́ческий ана́лиз — volumetric analysisвременно́й ана́лиз — analysis in the time domainга́зовый ана́лиз — gas analysisгармони́ческий ана́лиз — harmonic [Fourier] analysisгравиметри́ческий ана́лиз — gravimetric analysisана́лиз грани́чных усло́вий — limit analysisгранулометри́ческий ана́лиз — particle-size [grain-size] analysisдинамометри́ческий ана́лиз — dynamic force analysisдискре́тный ана́лиз — sampling analysisдисперсио́нный ана́лиз мат., стат. — analysis of varianceдифракцио́нный ана́лиз — diffraction analysisдифференциа́льно-терми́ческий ана́лиз — differential thermal analysisдро́бный ана́лиз — fractional analysisана́лиз дымовы́х га́зов — flue-gas analysisзо́льный ана́лиз — ash analysisана́лиз изло́ма — fracture testизото́пный ана́лиз — isotopic analysisана́лиз изото́пным разбавле́нием — isotope-dilution analysisиммерсио́нный ана́лиз — immersion analysisи́мпульсный ана́лиз — pulse analysisана́лиз и́мпульсов, амплиту́дный — pulse-height analysisинфракра́сный спектра́льный ана́лиз — analysis by infrared spectroscopyкалориметри́ческий ана́лиз — calorimetric analysisка́пельный ана́лиз — drop analysisка́чественный ана́лиз — qualitative analysisка́чественный ана́лиз позволя́ет установи́ть нали́чие веще́ств — qualitative analysis detects substancesкинемати́ческий ана́лиз — kinematic analysisана́лиз ковшо́вой про́бы — ladle analysisколи́чественный ана́лиз — quantitative analysisколи́чественный ана́лиз позволя́ет определи́ть коли́чества веще́ств — quantitative analysis determines substancesколориметри́ческий ана́лиз — colorimetric analysisкомбинато́рный ана́лиз мат. — combinatorial analysisкондуктометри́ческий ана́лиз — conductimetric analysisконтро́льный ана́лиз — check analysisконформацио́нный ана́лиз — conformational analysisкорреляцио́нный ана́лиз — correlation analysisана́лиз кривы́х разго́на хим. — transient response analysisкристаллографи́ческий ана́лиз — crystallographic analysisкристаллохими́ческий ана́лиз — chemical analysis of crystalsкулонометри́ческий ана́лиз — coulometric analysisлюминесце́нтный ана́лиз — fluorimetric [fluorescence] analysis, chemical analysis by fluorescenceмагнитострукту́рный ана́лиз — magnetic structural analysisмасс-спектра́льный ана́лиз — mass spectrometric analysisмасс-спектрографи́ческий ана́лиз — mass spectrographic analysisматемати́ческий ана́лиз — mathematical analysisметаллографи́ческий ана́лиз — metallographic analysisана́лиз ме́тодом ме́ченых а́томов — tracer analysisана́лиз ме́тодом оплавле́ния — fusion analysisана́лиз ме́тодом сухо́го озоле́ния — blowpipe analysisана́лиз ме́тодом титрова́ния — titrimetric analysis, analysis by titrationмехани́ческий ана́лиз — mechanical analysisмногоме́рный ана́лиз — multivariate analysisмо́крый ана́лиз — wet analysisана́лиз на микроэлеме́нты — trace analysisана́лиз на моде́ли — model analysisана́лиз напряже́ний мех. — stress analysisнейтронографи́ческий ана́лиз крист. — neutron diffraction analysisана́лиз нелине́йных систе́м — non-linear system analysisана́лиз нелине́йных систе́м ме́тодом гармони́ческого бала́нса — non-linear system analysis by the describing function methodана́лиз нелине́йных систе́м ме́тодом ма́лого пара́метра — non-linear system analysis by the perturbation theory [method]неоргани́ческий ана́лиз — inorganic analysisнепреры́вный ана́лиз — on-stream analysisнефелометри́ческий ана́лиз — nephelometric analysis, nephelometric determinationобъё́мный ана́лиз — volumetric analysisопережа́ющий ана́лиз ( в автоматическом регулировании) — anticipatory analysisоргани́ческий ана́лиз — organic analysisорганолепти́ческий ана́лиз — organoleptic analysisана́лиз отка́зов — failure analysisана́лиз отму́чиванием — decantation analysisана́лиз перехо́дных проце́ссов — transient (response) analysisпетрографи́ческий ана́лиз — petrographic analysisпирохими́ческий ана́лиз — pyrochemical analysisана́лиз плавле́нием в ва́кууме — vacuumfusion analysisпламефотометри́ческий ана́лиз — flame photometric analysisпо́лный ана́лиз — complete [total] analysisполуколи́чественный ана́лиз — semiquantitative analysisполяриметри́ческий ана́лиз — polarimetric analysisполярографи́ческий ана́лиз — polarographic analysisпосле́довательный ана́лиз — sequential [successive] analysisпотенциометри́ческий ана́лиз — potentiometric analysisана́лиз пото́ка, квазистациона́рный — quasi-steady flow analysisана́лиз потреби́тельского спро́са — marketing analysisана́лиз преде́льных состоя́ний — limit analysisприближё́нный ана́лиз — approximate analysisпричи́нный ана́лиз — cause-and-effect analysisпроби́рный ана́лиз — assay(ing)проби́рный, мо́крый ана́лиз — wet assay(ing)проби́рный, сухо́й ана́лиз — dry [fire] assay(ing)ана́лиз про́бы из ковша́ — ladle analysisрадиоактивацио́нный ана́лиз — radioactivation analysisана́лиз радиоакти́вности — radioactivity determinationрадиометри́ческий ана́лиз — radiometric analysisана́лиз разго́нкой — distillation analysis, distillation testана́лиз разме́рностей — dimensional analysisра́стровый ана́лиз — scanning analysisрегрессио́нный ана́лиз — regression analysisрентгенографи́ческий ана́лиз — radiographic analysisрентгеноспектра́льный ана́лиз — (analysis by) X-ray spectrometryрентгеноспектра́льный, лока́льный ана́лиз — X-ray microanalysis, electron probe X-ray analysisрентгенострукту́рный ана́лиз — X-ray (diffraction) analysisрентгенофа́зовый ана́лиз — X-ray phase analysisрефрактометри́ческий ана́лиз — refractometric analysisана́лиз руд — ore analysis, ore assayседиментацио́нный ана́лиз — sedimentation analysisседиментометри́ческий ана́лиз — sedimetric [sedimentometric] analysisана́лиз сжига́нием — combustion analysisсистемати́ческий ана́лиз — systematic analysisси́товый ана́лиз — mesh [sieve, screen] analysisана́лиз скани́рованием — analysis by scanningана́лиз спе́ктра вибра́ции — vibration spectrum analysisспектра́льный ана́лиз — spectrum [spectral] analysisспектра́льный, молекуля́рный ана́лиз — molecular spectrum analysisспектра́льный, эмиссио́нный ана́лиз — emission (spectrum) analysisспектрографи́ческий ана́лиз — spectrographic analysisспектрофотометри́ческий ана́лиз — spectrophotometric [absorptimetric] analysisспектрофотометри́ческий ана́лиз в ви́димой ча́сти спе́ктра — visible spectrophotometric analysis, spectrophotometric analysis in the visible regionспектрофотометри́ческий ана́лиз в инфракра́сной о́бласти — infrared spectrophotometric analysis, spectrophotometric analysis in the infrared regionспектрофотометри́ческий ана́лиз в ультрафиоле́товой о́бласти — ultraviolet spectrophotometric analysis, spectrophotometric analysis in the ultraviolet regionана́лиз ста́ли при вы́пуске пла́вки — tapping analysisстатисти́ческий ана́лиз — statistical analysisана́лиз сто́чных вод — sewage analysisстробоскопи́ческий ана́лиз — stroboscopic analysisстру́йный ана́лиз — jet analysisструкту́рный ана́лиз — structural analysisсухо́й ана́лиз — dry analysisте́нзорный ана́лиз — tensor analysisтеплово́й ана́лиз — thermoanalysisтерми́ческий ана́лиз — thermoanalysisтермогравиметри́ческий ана́лиз — thermogravimetric analysisтермомагни́тный ана́лиз — magnetothermal analysisте́хнико-экономи́ческий ана́лиз — technical-economical analysisтехни́ческий ана́лиз — proximate analysisтитриметри́ческий ана́лиз — titrimetric analysis, analysis by titrationтурбидиметри́ческий ана́лиз — turbidimetric analysisфа́зовый ана́лиз — phase analysisфакториа́льный ана́лиз — factor analysisфотометри́ческий ана́лиз — photometric analysisфракцио́нный ана́лиз — fractional analysisфракцио́нный ана́лиз по пло́тности — float-and-sink [densimetric, specific gravity] analysisфункциона́льный ана́лиз — functional analysisхими́ческий ана́лиз — chemical analysisхроматографи́ческий ана́лиз — chromatographic analysisцветово́й ана́лиз — colour separationана́лиз цепе́й — circuit analysisана́лиз цепе́й, маши́нный — computerized circuit analysisчасти́чный ана́лиз — partial analysisчасто́тно-временно́й ана́лиз — time-and-frequency analysis, analysis in the time and frequency domainчасто́тный ана́лиз — frequency (response) analysis, analysis in the frequency domainана́лиз че́рез си́нтез вчт. — analysis by synthesisчи́сленный ана́лиз — numerical analysesана́лиз шу́ма — noise analysisэлектрографи́ческий ана́лиз крист. — electron diffraction analysisэлемента́рный ана́лиз — ultimate [elementary] analysis -
17 processor
процессор ( аппаратное устройство или обрабатывающая программа); узел обработки- airborne data processor
- airborne processor
- algorithm processor
- alterable processor
- ancillary control processor
- arithmetic processor
- array processor
- assembly language processor
- associative processor
- attached processor
- auxiliary processor
- back-end processor
- background job processor
- background processor
- basic processor
- batch-mode processor
- bit-slice processor
- bit-stream processor
- byte-slice processor
- center processor
- central data processor
- central processor
- command processor
- communications processor
- console command processor
- content-addressable processor
- control processor
- data communication processor
- data flow processor
- data interchange processor
- data link processor
- data processor
- database processor
- dead processor
- demand-paged processor
- diagnostic processor
- digital signal processor
- digital speech processor
- display processor
- distributed database processor
- dual processor - fast-Fourier-transform processor
- FFT processor
- file control processor
- file processor
- file revision processor
- flexible processor
- floating-point arithmetic processor
- floating-point processor
- front-end processor
- gateway processor
- general-purpose processor
- general-register processor
- geometric arithmetic parallel processor
- geometry processor
- graphic job processor
- graphics processor
- heterogeneous-element processor
- highly concurrent processor
- host processor
- host-language processor
- I/O processor
- idle processor
- image processor
- input/output processor
- instruction processor
- integrated array processor
- interface processor
- interruptable processor
- language processor
- language-specific processor
- large-scale processor
- linguistic processor
- local processor
- logic processor
- look-ahead processor
- loosely coupled processors
- maintenance processor
- master processor
- mathematical processor
- math processor
- matrix-vector processor
- message processor
- microprogrammable processor
- mid-range processor
- modular acoustic processor
- multipipeline processor
- multiunit processor
- nearby processor
- node processor
- non-neighbor processor
- nonsegmented processor
- N-pipe processor
- numeric processor
- off-line processor
- one-bit processor
- on-line processor
- optical matrix processor
- orthogonal processor
- out-of-order processor
- output test processor
- painting processor
- Pentium processor
- peripheral processor
- pipeline processor
- pipelined processor
- pixel processor
- programmed data processor
- queue processor
- quiescent processor
- real-time processor
- reference processor
- resource allocation processor
- RISC-based processor
- RISC-processor
- satellite processor
- scientific processor
- segmented processor
- self-dispatching processor
- sending processor
- service processor
- simulation processor
- single-cycle processor
- slave processor
- SMT processor
- soft architecture processor
- software processor
- specially designed processor
- speech processor
- speech-synthesis processor
- stand-alone processor
- stochastic processor
- support processor
- system processor
- systolic processor
- terminal processor
- test result processor
- test-and-repair processor
- text processor
- tightly coupled processors
- transform processor
- uncooperative processor
- vector processor
- video-display processor
- viewing processor
- virtual processor
- VLSI array processor
- voice processor
- wavefront array processor - word-oriented processorEnglish-Russian dictionary of computer science and programming > processor
-
18 analysis
1. n анализ, исследование, подробное рассмотрение2. n результаты анализа, исследования3. n грам. разбор4. n психоанализto be under analysis — подвергаться психоанализу; лечиться психоанализом
5. n аналитический метод, анализ6. n алгебраический анализ7. n математический анализ, дифференциальное и интегральное исчисление8. n хим. разложение, анализ9. n бухг. метод расчётаСинонимический ряд:1. appraisal (noun) appraisal; estimation; evaluation; judgment2. breakdown (noun) breakdown; breakup; dissection; generalization; ratiocination; reduction to elements; resolution; separation; subdivision3. examination (noun) audit; check-over; checkup; criticism; critique; examination; explication; inquiry; inspection; investigation; perlustration; report; review; scan; scrutiny; study; summary; survey; test; view4. Freudian therapy (noun) Freudian therapy; psychiatry; psychoanalysis; psychotherapy; therapyАнтонимический ряд:aggregation; amalgamation; assembly; coalition; coherence; combination; composition; synthesis -
19 assay
испытание, проверка, количественный анализ; испытывать, производить анализadherent phagocytosis assay — анализ фагоцитоза методом адгезивного монослоя (с использованием в качестве фагоцитируемых частиц-мишеней синтетических микросфер, наносимых в виде монослоя на плёнку из нейтрофилов)
ANA assay — анализ антиядерного фактора, АНФ-анализ
antigen-binding assay — реакция связывания [иммобилизации] антигена
antigen capture assay — метод «антигенной ловушки» (вариант иммуносорбентного анализа с иммобилизацией антигена на твёрдой фазе)
antigen-labeled fluorescence protection assay — непрямой иммунофлуоресцентный анализ с тушением флуоресценции
antigen-stimulated rosett-forrning Т cells assay — реакция образования иммунных [антигенстимулированных] Т-розеток
Augener C1 consumption assay — анализ потребления C1-компонента комплемента по Аугенеру, анализ C1-C2 конверсии
band shift assay — (электрофоретический) анализ на замедление подвижности в геле ( для оценки белково-нуклеиновых взаимодействий)
bioimmunoabsorbent assay — биоиммуносорбентный анализ ( с использованием биологически активного лиганда на твёрдой фазе)
blood-bank assay — скрининг донорского банка крови; эпидем. массовое типирование групп крови
Boyden chemotaxis assay — определение хемотаксической активности в камере Бойдена ( тест на хемотаксис in vitro)
C3-conversion assay — анализ методом гидролиза C3-компонента комплемента, C3-гидролитический метод (определения нефритогенного фактора альтернативного пути активации комплемента)
cell attachment assay — анализ методом иммобилизации клеток, адгезионно-клеточный анализ
cell cytotoxicity assay — анализ клеточной [клеточно-опосредованной] цитотоксичности
CFU-F assay — анализ колониеобразующей активности фибробластов, метод КОКф
CH50 assay — CH50-тест (реакция титрования сывороточного комплемента с оптимизацией объёма сыворотки, необходимого для полного гемолиза 50% эритроцитов)
checker board assay — метод «шахматного анализа» (подбор оптимального разведения антисыворотки путём последовательного тестирования в жидкой и твёрдой фазах)
chemiluminescent enzyme-linked immunosorbent assay — твердофазный иммуноферментный анализ с хемилюминесценцией
CHO cell assay — анализ с использованием клеток яичника китайского хомячка (метод определения свойств бактериального токсина путём морфологического исследования мазков клеток, обработанных токсином)
chromium-release microcytotoxicity assay — микроцитотоксический тест с радиоактивным хромом ( метод определения активности клеток-киллеров)
cold-target competition assay — конкурентный анализ с использованием «холодных» ( несенсибилизированных) мишеней
collagen-matrix assay — анализ методом коллагеновой подложки, анализ в системе с коллагеновой подложкой ( способ определения подвижности лимфоцитов и их способности к миграции)
colony-forming unit of fibroblasts assay — анализ колониеобразующей активности фибробластов, метод КОКф
competitive heterogeneous enzyme-linked immunosorbent assay — конкурентный гетерогенный [твердофазный] иммуноферментный анализ
complement-consumption assay — реакция связывания [фиксации] комплемента
complement enzyme-linked immunosorbent assay — комплементзависимый твердофазный иммуноферментный анализ
complement-independent cytolytic assay — реакция комплементнезависимого цитолиза (напр. лизис естественными клетками-киллерами)
ConA-induced suppressor cell assay — анализ клеток-супрессоров, индуцированных конканавалином А
conglutinin assay — конглютин-специфический анализ ( метод определения циркулирующих иммунных комплексов)
costimulator assay — анализ с костимулятором, комитогенный анализ ( метод тестирования активности интерлейкина 1 на тимоцитах)
C1q-polyethylene glycol assay — C1q-специфический анализ в полиэтиленгликоле ( метод определения комплементсвязывающих иммунных комплексов)
C1q solid-phase assay — твердофазный C1q-анализ ( метод определения циркулирующих иммунных комплексов)
Crithidia assay — (иммунофлуоресцентный) анализ на клетках Crithidia lucilia (метод определения ауто-антител к ДНК у больных с системной красной волчанкой)
C3-splitting assay — анализ методом гидролиза C3-компонента комплемента, C3-гидролитический метод (определения нефритогенного фактора альтернативного пути активации комплемента)
culture assay — анализ в культуре; анализ in vitro
cytopathic effect dye uptake assay — анализ цитопатического эффекта по поглощению красителя ( биоанализ интерферона на модели вирус-инфицированных клеток)
divided-colony assay — метод дискретных колоний, анализ колониеобразующей активности
DNA-affinity precipitation assay — преципитационный анализ ДНК-аффинного связывания ( метод изучения ДНК-связывающих белков)
DNA probe assay — ДНК-типирование, анализ с помощью ДНК-зондов
dot-immunobinding assay — метод гибридизации макромолекул путём диффузии через точечные отверстия, дот-блоттинг
dot-radioimmunobinding assay — DRIB-анализ (иммуносорбентный анализ с иммобилизованными на мембране мечеными антигенами или антителами)
double-label immunofluorescence assay — двухмаркёрный иммунофлуоресцентный анализ ( метод одновременной оценки двух различных антигенов или антител)
DRIB assay — DRIB-анализ (иммуносорбентный анализ с иммобилизованными на мембране мечеными антигенами или антителами)
EAC-rosette assay — анализ EAC-розеткообразования, метод розеток с предсенсибилизированными бараньими эритроцитами в присутствии комплемента, ЕАС-РОК анализ
EA-rosette assay — анализ EA-розеткообразования, метод розеток с предсенсибилизированными бараньими эритроцитами, EA-РОК анализ
endo-staph assay — эндостафиновый тест (проба с очищенной тейхоевой кислотой для серодиагностики стафилококковой инфекции)
enzyme-linked immunospot assay — иммуноферментный спот-анализ ( метод микроиммуноферментного анализа)
E-rosette assay — анализ E-розеткообразования, метод розеток с бараньими эритроцитами, E-РОК анализ
exhypoxic polycythemic mouse assay — метод постгипоксийных полицитемических мышей ( метод оценки секреции эритропоэтина)
exocolonizing assay — метод экзогенных ( селезёночных) колоний, метод Тилла-Мак-Куллоха
FAMA assay — FAMA-анализ (метод серодиагностики инфекции, вызванной вирусом Varicella zoster)
fluorescence-associated membrane antigen assay — FAMA-анализ (метод серодиагностики инфекции, вызванной вирусом Varicella zoster)
fluorescence sandwich enzyme-linked immunosorbent assay — твердофазный иммуноферментный анализ с флуоресцентным усилением
foot pad swelling assay — тест на припухлость стопы ( тест для выявления гиперчувствительности замедленного типа у мышей)
gel retardation assay — (электрофоретический) анализ на замедление подвижности в геле ( для оценки белково-нуклеиновых взаимодействий)
graft-versus-host assay — анализ гистосовместимости донора и реципиента методом оценки реакции «трансплантат против хозяина»
granule enzyme release assay — анализ ферментативной гранулосекреции ( метод оценки специфической реакции клетки на раздражитель)
GVH assay — анализ гистосовместимости донора и реципиента методом оценки реакции «трансплантат против хозяина»
hemolytic focus assay — метод гемолитических фокусов, метод очагов гемолиза
idiotype assay — определение [типирование] идиотипа, идиотипирование
IL-1 receptor competition assay — анализ конкурентного связывания с рецептором интерлейкина 1 (метод определения истинной концентрации интерлейкина 1 в биологических образцах путём суммарной оценки связывания с клеточным рецептором alpha- и beta-изоформ)
immune complex kinase assay — иммунокомплексный метод анализа киназной активности, метод Коллета-Эрикссона ( метод оценки активности вирусных протеинкиназ)
immunoadsorption-amidolytic assay — иммуноадсорбционный амидолитический тест ( для определения активности активатора плазминогена)
immunochemiluminometric assay — количественный иммунохемилюминесцентный анализ, иммунохемилюминометрический анализ
immunodot assay — иммунодоттинговый анализ, иммунодоттинг
immunofluorometric assay — количественный иммунофлуоресцентный анализ, флуорометрический иммуноанализ
immunoluminometric labeled second-antibody assay — количественный сэндвич-иммунолюминесцентный анализ
immunoradiometric assay — иммунорадиометрический анализ, количественный радиоиммуноанализ
infectious cell center assay — метод инфицированных клеточных фокусов ( вариант синцитийобразующего анализа)
Jerne plaque assay — метод бляшек по Ерне, реакция локального гемолиза в геле
killing assay — киллинг-анализ (анализ условий протекания и функциональных параметров реакции клеточно-опосредованной цитотоксичности, напр. анализ активности Т-киллеров)
Kimble-Anderson reversed assay — обращённо-фазовый анализ по Кимблу-Андерсену ( иммуно-электрофоретическое определение стафилококкового энтеротоксина)
kinetic-based enzyme-linked immunosorbent assay — кинетический твердофазный иммуноферментный анализ ( метод оценки инфекционности вирусов)
Klinman's assay — анализ селезёночных фрагментов ( метод оценки антителопродуцирующей активности единичных B-клеток)
Komuro-Boyse assay — метод селезёночных претимоцитов, метод Комуры-Бойзе ( способ оценки влияния препарата на дифференцировку Т-лимфоцитов in vitro)
ligated ileal loop assay — анализ методом перевязки подвздошной кишки (анализ энтеротоксических свойств бактерий путём инъекции токсина в участки перевязанной подвздошной кишки)
liposome immune lysis assay — метод (иммунного) лизиса с использованием (иммуно)липосом, тест (иммунного) лизиса липосом
localized-in-gel hemolysis assay — метод бляшек по Ерне, реакция локального гемолиза в геле
long-term lymphocyte cytotoxicity assay — долговременный лимфоцитотоксический тест (напр. анализ активности предшественников клеток-киллеров)
lymph-node weight assay — метод взвешивания лимфоузлов (метод оценки интенсивности реакции «трансплантат против хозяина»)
lymphocyte blastogenic assay — анализ бластогенеза [бласт-трансформации] лимфоцитов
lymphocyte transformation assay — анализ бластогенеза [бласт-трансформации] лимфоцитов
lysate amebocyte assay — проба с лизатом амёбоцитов (мечехвоста), лимулюс-тест ( метод обнаружения амёбного эндотоксина)
macrophage electrophoretic mobility assay — тест электрофоретической подвижности макрофагов, ЭПМ-тест
MEM assay — ЭПМ-тест, тест электрофоретической подвижности макрофагов
microbe killing assay — анализ микробного киллинга ( для оценки антибактериальной цитотоксической функции клеток-киллеров)
microculture antibody synthesis enzyme-linked assay — метод иммуноферментного анализа (интенсивности) антителогенеза в микрокультурах ( с внесением иммобилизованного антигена)
microculture infectivity assay — микроанализ инфекционности культуры (метод стимулированных лимфоцитов, заражённых вирусом)
micro-ELISA secretion assay — твердофазный иммуноферментный микроанализ секреции иммуноглобулиновых аллотипов
microfiltration assay — (авторадиографический) микрофильтрационный анализ (напр. антиферментных антител)
microlymphocytotoxicity assay — лимфоцитотоксический микротест, микролимфоцитотоксический тест
microsphere-based immunofluorescence assay — иммунофлуоресцентный метод с использованием микросфер, анализ методом флуоресцирующих микросфер ( с иммобилизованными антителами или антигенами)
microsphere-fluorescent assay — иммунофлуоресцентный метод с использованием микросфер, анализ методом флуоресцирующих микросфер ( с иммобилизованными антителами или антигенами)
microtiter infection assay — микротипирование инфекционности (напр. вируса)
mixed colony assay — анализ смешанного колониеобразования, КОЕмикст-анализ, метод смешанных колоний
NeFA assay — анализ методом гидролиза C3-компонента комплемента, C3-гидролитический метод (определения нефритогенного фактора альтернативного пути активации комплемента)
opsonophagocytic assay — анализ опсонофагоцитирующей активности, определение опсонического индекса фагоцитоза
parallel-line assay — параллельная группа анализов, экспериментальная дубль-серия
parasite-infected-cell-agglutination assay — реакция агглютинации клеток, инфицированных паразитами ( метод определения титра специфических антител в эндемичных зонах)
popliteal lymph-node assay — метод пункции подколенных лимфоузлов (метод оценки реакции «трансплантат против хозяина»)
pre-B-cell cloning assay — метод клонирования пре-B-клеток ( для оценки дифференцировки В-клеток в культуре)
precipitation assay — преципитационный анализ; реакция преципитации
PWM-driven in vitro assay — стимулированная митогеном лаконоса реакция ( бласт-трансформации лимфоцитов)
Raja cell assay — анализ с использованием Raja-клеток (подсчёт прикрепившихся к Raja-клеткам комплементсодержащих иммунных комплексов)
Raja cell immunofluorescence assay — иммунофлуоресцентный анализ с использованием Raja-клеток (метод подсчёта циркулирующих иммунных комплексов, содержащих комплемент и прикрепившихся к Raja-клеткам)
rate-of-lysis assay — определение литической активности (напр. клеток-киллеров)
rosette-forming T-cells assay — анализ суммарных ( фоновых) розетко-образующих Т-клеток
serodiagnostic assay — серодиагностика; серодиагностический анализ
serologic assay — серология; серологический анализ
short-term lymphocyte cytotoxicity assay — короткий лимфоцитотоксический тест ( тест на активность естественных клеток-киллеров)
single-label immunofluorescence assay — мономаркёрный иммунофлуоресцентный анализ ( метод идентификации одного антигена или антитела)
slide immunoenzymatic assay — иммуноферментный анализ на стекле, иммуноферментный слайд-анализ
solid-phase radioimmune cobinding assay — твердофазный радиоиммунологический анализ с двойным связыванием ( компонентов реакции)
spleen weight assay — метод взвешивания селезёнок, метод Симонсена (метод оценки интенсивности реакции «трансплантат против хозяина»)
splenic focus assay — анализ селезёночных фрагментов ( метод оценки антителопродуцирующей активности единичных B-клеток)
splenic fragment assay — анализ селезёночных фрагментов ( метод оценки антителопродуцирующей активности единичных B-клеток)
spontaneous erythrocyte rosette assay — анализ спонтанных розеток, E-РОК анализ
staphylococcal protein A-coated sheep red blood cell assay — реакция гемолиза с бараньими эритроцитами, нагруженными стафилококковым протеином А
superoxide anion assay — анализ (образования) супероксидных анионов ( метод оценки фагоцитарной функции)
suspension phagocytosis assay — анализ фагоцитоза суспензионным методом, анализ фагоцитоза в жидкой фазе
syncytial-forming assay — синцитийобразующий анализ, метод синцитиальной оболочки (метод определения пролиферативной активности и инфекционности вируса СПИДа)
T cell-accessory cell binding assay — метод межклеточных взаимодействий между Т- и А-клетками, метод связывания Т- и А-клеток
T-cell growth factor assay — анализ фактора роста Т-клеток ( анализ активности интерлейкина 2 в клеточной культуре)
teichoic acid antibody assay — анализ антитейхоевых антител ( для серодиагностики стафилококковой инфекции)
test tube assay — лабораторный анализ; анализ in vitro
thiocyanate elution assay — анализ методом элюции тиоцианатом ( один из способов количественной оценки относительной аффинности антител)
thymocyte assay — анализ (пролиферации) тимоцитов (для оценки влияния экзогенных факторов на пролиферацию тимоцитов при фиксированных концентрациях интерлейкина 1)
thymus-regeneration [thymus-repopulation] assay — анализ регенерационной [репопуляционной] способности тимуса ( метод оценки пострадиационных потенций тимуса)
two-site immunoenzymometric assay — двухстадийный [двухслойный] иммуноферментный анализ ( метод анализа с использованием комплементарной пары антител к антигену)
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20 system
1) система 2) устаткування; пристрій - assembly system
- autolayout system
- automated accounting system
- automated photomasking system
- automated photomask system
- automatic data асquisition system
- automatic data analysis system
- automatic data digitizing system
- base-metal system
- batch system
- bi-etching system
- bubble test system
- building-block layout system
- CAD system
- cassette-to-cassette system
- chopping system
- closed-tube oxidation-diffusion system
- code-translation data system
- command retrieval system
- computer-aided design system
- conductor paste system
- conductor system
- continuous stage motion e-beam system
- Czochralski production system
- damage tolerant system
- data асquisition and display system
- data analysis and reduction system
- data collection and processing system
- decision data support system
- decision-support system
- deep-UV projection system
- design automation system
- die attach system
- dielectric paste system
- dielectric system
- diffusion system
- direct step-on-wafer system
- direct-write e-beam system
- dopant system
- double-chamber vacuum-deposition system
- double-track system
- electron-beam mask system
- electron-beam projection system
- encapsulation welding system
- epitaxial growth system
- epitaxial system
- epoxy dispensing system
- etchant regeneration system
- etching system
- etch/strip system
- evaporation system
- exposure system
- fabrication system
- fault-tolerant system
- flex-fab system
- flexible machining system
- fly’s eye system
- gate-array layout system
- Gaussian-beam e-beam system
- Genesil system
- graphite furnace atomic absorption system
- hierarchically CAD system
- hierarchical-oriented CAD system
- high-resolution electron-beam system
- IC system
- image projection system
- indexing system
- ink system
- in-line system
- integrated programmable gate-array system
- ion-beam system
- ion-beam sputtering system
- isoplanar system
- laminar-flow system
- lead-forming system
- lead-frame assembly system
- lithographic system
- lithography system
- logic analysis system
- logic synthesis system
- mask alignment and exposure system
- metal system
- metallization system
- Micralign system
- micro-Optical Electro-Mechanical systems MOEMS
- micro-Optical Electro-Mechanical systems
- micropower system
- multichip system
- multicircuit microprocessor system
- multidomain system
- multiple-tens camera system
- negative-resist system
- non-real-time data automation system
- one-step t-fault diagnosable system
- one-to-one scanning system
- on-line circuit analysis system
- on-line circuit design system
- open-ended CAD system
- open-tube system
- palladium-silver thick-film conductor system
- palladium-silver conductor system
- paste system
- photomasking system
- photorepeating system
- pick-and-place system
- planar plasma system
- plenum flush system
- portable CAD system
- positive resist system
- preinsertion processing system
- printed-circuit board assembly system
- printed-circuit assembly system
- probing system
- processing system
- production system
- projection printing system
- projection system
- quick vacuum system
- reduced system
- reducing electron -beam projection system
- reducing electron projection system
- reflow soldering system
- rinser/dryer system
- screen printing system
- scribing system
- self-documenting CAD system
- self-repair system
- sequentially t-fault diagnosable system
- shaped-beam e-beam system
- single-chip system
- SMIF system
- software test-bed system
- solder evacuation system
- solder fusion system
- split-chamber vacuum coating system
- split-field alignment system
- step-and-repeat system
- step-and-repeat photomask system
- step-on-wafer projection system
- surface measurement system
- terminal point detection system
- thermal mapping system
- thick-film resistor system
- transfer system
- transport system
- tri-metal system
- trimming system
- turnkey CAD system
- UV exposure system
- vacuum-deposition system
- vacuum purge system
- variable-shaped electron-beam exposure system
- vector-scan e-beam system
- wafer gaging system
- wafer routing system
- wafer-scale system
- wafer-stepper projection system
- wave solder system
- wiring system
- X-ray exposure system
См. также в других словарях:
test tube — noun glass tube closed at one end (Freq. 1) • Hypernyms: ↑tube, ↑tubing * * * noun : a tube for simple tests that is usually a plain tube of thin glass closed at one end but sometimes has a foot, bulb, graduated scale, or other modification * * * … Useful english dictionary
Test iodoforme — Réaction haloforme La réaction haloforme est la réaction chimique consistant à synthétiser un haloforme, c est à dire un trihalogénométhane avec trois atomes halogènes identiques (chloroforme (CHCl3), iodoforme (CHI3), bromoforme (CHBr3) le… … Wikipédia en Français
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