small-scale machine

1) Computers: small-scale machine

2) Information technology: small-scale computer

1) Computers: small-scale machine

2) Information technology: small-scale computer

f; -, -n

1. ( eine) Waage (a pair of) scales Pl., Am. (a) scale; (Wasserwaage) spirit level, Am. level; die Waage halten fig., einer Sache: counterbalance; jemandem: be a match for; sich (Dat) die Waage halten be more or less equal; Zünglein

2. ASTROL. Libra; Waage sein be (a) Libra, be a Libran

3. Turnen: lever

* * *

(Tierkreiszeichen) Libra;

balance; scales; scale; pair of scales

* * *

f -, -n

1) (Gerät) scales pl; (= Federwaage, Apothekerwaage) balance; (für Lastwagen, Autos) weighbridge (Brit), weigh station

2) (ASTRON, ASTROL) Libra

3) (SPORT = Standwaage) horizontal single leg stand

* * *

1) (a weighing instrument.) balance

2) (a usually small weighing-machine: kitchen scales; a set of scales.) scales

3) (a (public) machine for weighing people, loads etc; a scale: I weighed myself on the weighing-machine at the railway station.) weighing-machine

* * *

1. TECH (Gerät zum Wiegen) scales npl

eine \Waage a pair n sing of scales

90 Kilo auf die \Waage bringen (fam) to tip the scales at 90 kilos fam

2. kein pl ASTROL (Tierkreiszeichen) Libra

[eine] \Waage sein to be a Libra[n]

▶ sich dat die \Waage halten to balance out one another [or each other] sep

Vor- und Nachteile halten sich die \Waage the advantages and disadvantages are roughly equal

* * *

1) [pair sing. of] scales pl.; (GoldWaage, ApothekerWaage usw.) balance

2) (Astrol., Astron.) Libra

* * *

Waage f; -, -n

1.

(eine) Waage (a pair of) scales pl, US (a) scale; (Wasserwaage) spirit level, US level;

die Waage halten fig, einer Sache: counterbalance; jemandem: be a match for;

sich (dat)

die Waage halten be more or less equal; → Zünglein

2. ASTROL Libra;

Waage sein be (a) Libra, be a Libran

3. Turnen: lever

* * *

1) [pair sing. of] scales pl.; (GoldWaage, ApothekerWaage usw.) balance

2) (Astrol., Astron.) Libra

* * *

Libra (Zodiac) n. -n f.

scales n.

propriétaire [pʀɔpʀijetεʀ]

1. masculine noun

owner ; [de location] landlord

• mis à la porte par son propriétaire thrown out by his landlord

• propriétaire récoltant grower

• propriétaire terrien landowner

2. feminine noun

[d'hôtel, entreprise] owner ; [de location] landlady

3. adjective

[logiciel] proprietary

* * *

1) owner

2) ( de propriété louée) landlord/landlady

* * *

1) [bien, maison] owner, [hôtel] proprietor (proprietress), owner

2) (du point de vue du locataire) landlord (landlady)

* * *

propriétaire nmf

1 (de terres, bien, d'immeubles, objet) owner; (d'hôtel, de restaurant, journal, commerce) proprietor, owner; un petit propriétaire a small-scale property owner; dans ce pays, il y a plus de propriétaires que de locataires in this country there are more homeowners than tenants; ils sont propriétaires de leur maison they own their own house; faire le tour du propriétaire to look round GB ou around US the house; faire faire le tour du propriétaire à qn to show sb round GB ou around US the house;

2 ( de propriété louée) landlord/landlady, owner; mon propriétaire a encore augmenté mon loyer my landlord has put up the rent again.

propriétaire foncier landowner; propriétaire indivis joint owner; propriétaire terrien = propriétaire foncier.

[prɔprijetɛr] nom masculin et féminin

1. [celui qui possède] owner

2. [celui qui loue] landlord ( feminine landlady)

SUBJECT AREA: Mechanical, pneumatic and hydraulic engineering

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Although known as Clement in his professional life, his baptism at Asby and his death were registered under the name of Joseph Clemmet. He worked as a slater until the age of 23, but his interest in mechanics led him to spend much of his spare time in the local blacksmith's shop. By studying books on mechanics borrowed from his cousin, a watchmaker, he taught himself and with the aid of the village blacksmith made his own lathe. By 1805 he was able to give up the slating trade and find employment as a mechanic in a small factory at Kirkby Stephen. From there he moved to Carlisle for two years, and then to Glasgow where, while working as a turner, he took lessons in drawing; he had a natural talent and soon became an expert draughtsman. From about 1809 he was employed by Leys, Mason \& Co. of Aberdeen designing and making power looms. For this work he built a screw-cutting lathe and continued his self-education. At the end of 1813, having saved about £100, he made his way to London, where he soon found employment as a mechanic and draughtsman. Within a few months he was engaged by Joseph Bramah, and after a trial period a formal agreement dated 1 April 1814 was made by which Clement was to be Chief Draughtsman and Superintendent of Bramah's Pimlico works for five years. However, Bramah died in December 1814 and after his sons took over the business it was agreed that Clement should leave before the expiry of the five-year period. He soon found employment as Chief Draughtsman with Henry Maudslay \& Co. By 1817 Clement had saved about £500, which enabled him to establish his own business at Prospect Place, Newington Butts, as a mechanical draughtsman and manufacturer of high-class machinery. For this purpose he built lathes for his own use and invented various improvements in their detailed design. In 1827 he designed and built a facing lathe which incorporated an ingenious system of infinitely variable belt gearing. He had also built his own planing machine by 1820 and another, much larger one in 1825. In 1828 Clement began making fluted taps and dies and standardized the screw threads, thus anticipating on a small scale the national standards later established by Sir Joseph Whitworth. Because of his reputation for first-class workmanship, Clement was in the 1820s engaged by Charles Babbage to carry out the construction of his first Difference Engine.

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SUBJECT AREA: Mechanical, pneumatic and hydraulic engineering

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Joseph Rogers Brown was the eldest son of David Brown, who was modestly established as a maker of and dealer in clocks and watches. Joseph assisted his father during school vacations and at the age of 17 left to obtain training as a machinist. In 1829 he joined his father in the manufacture of tower clocks at Pawtucket, Rhode Island, and two years later went into business for himself in Pawtucket making lathes and small tools. In 1833 he rejoined his father in Providence, Rhode Island, as a partner in the manufacture of docks, watches and surveying and mathematical instruments. David Brown retired in 1841.

J.R.Brown invented and built in 1850 a linear dividing engine which was the first automatic machine for graduating rules in the United States. In 1851 he brought out the vernier calliper, the first application of a vernier scale in a workshop measuring tool. Lucian Sharpe was taken into partnership in 1853 and the firm became J.R.Brown \& Sharpe; in 1868 the firm was incorporated as the Brown \& Sharpe Manufacturing Company.

In 1855 Brown invented a precision gear-cutting machine to make clock gears. The firm obtained in 1861 a contract to make Wilcox \& Gibbs sewing machines and gave up the manufacture of clocks. At about this time F.W. Howe of the Providence Tool Company arranged for Brown \& Sharpe to make a turret lathe required for the manufacture of muskets. This was basically Howe's design, but Brown added a few features, and it was the first machine tool built for sale by the Brown \& Sharpe Company. It was followed in 1862 by the universal milling machine invented by Brown initially for making twist drills. Particularly for cutting gear teeth, Brown invented in 1864 a formed milling cutter which could be sharpened without changing its profile. In 1867 the need for an instrument for checking the thickness of sheet material became apparent, and in August of that year J.R.Brown and L.Sharpe visited the Paris Exhibition and saw a micrometer calliper invented by Jean Laurent Palmer in 1848. They recognized its possibilities and with a few developments marketed it as a convenient, hand-held measuring instrument. Grinding lathes were made by Brown \& Sharpe in the early 1860s, and from 1868 a universal grinding machine was developed, with the first one being completed in 1876. The patent for this machine was granted after Brown's sudden death while on holiday.

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SUBJECT AREA: Electronics and information technology, Horology, Land transport

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The son of G.W.C.Sinclair, a machine tool engineer, the young Sinclair's education was disrupted by the failure of his father's business. Aged 12 he left Boxgrove preparatory school and went through twelve more schools before leaving St George's School, Weybridge, at the age of 17. His first job was as an editorial assistant on a hobbyist's magazine, Practical Wireless, and his next as an editor at Bernard Books, writing a series of technical manuals. In 1961 he registered Sinclair Radionics and in the following year announced its first product, a micro-amplifier. This was the first of a series of miniaturized radio products that he put on the market while retaining his editorial job. In 1972 he launched the Sinclair Executive calculator, selling originally at £79.95 but later at £24.95. In 1976, the Black Watch, an electronic watch with digital light-emitting diode (LED) display, was marketed, to be followed by the TV1A, a miniature television with a 2 in. (5 cm) monochrome screen. During the latter part of this period, Sinclair Radionics was supported by investment from the UK National Enterprise Board, who appointed an outside managing director; after making a considerable loss, they closed the company in 1979. However, Sinclair Electronics had already been set up and started to market the UK's first cheap computer kit, the MK 14, which was followed by the ZX 80 and later the ZX 81. Price was kept at a minimum by the extensive use of existing components, though this was a restriction on performance. The small memory was enhanced from one kilobyte to seventeen kilobytes with the addition of a separate memory unit. In January 1985 Sinclair produced the Sinclair C5, a small three-wheeled vehicle driven by a washing-machine engine, intended as a revolutionary new form of personal transport; perceived as unsafe and impractical, it did not prove popular, and the failure of this venture resulted in a contraction of Sinclair's business activities. Later in 1985, a rival electronics company, Amstrad, paid £35,000,000 for all rights to existing Sinclair computer products.

In March 1992, the irrepressible Sinclair launched his latest brainchild, the Zike electric bicycle; a price of £499 was forecast. This machine, powered by an electric motor but with pedal assistance, had a top speed of 19 km/h (12 mph) and, on full power, would run for up to one hour. Its lightweight nickel-cadmium battery could be recharged either by a generator or by free-wheeling. Although more practical than the C5, it did not bring Sinclair success on the scale of his earlier micro-electronic products.

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1 change.

se ha producido un cambio de situación the situation has changed, there has been a change in the situation

a las primeras de cambio at the first opportunity

cambio climático climate change (calentamiento global)

cambio de domicilio change of address

cambio horario = putting clocks back or forward one hour (bianual)

cambio de gobierno change of government

cambio de rasante (automobiles) brow of a hill

cambio de sentido U-turn

2 exchange (intercambio).

(oficina de) cambio bureau de change (en letrero)

a cambio (de) in exchange o return (for)

no pido nada a cambio I'm not asking for anything back o in return

3 change (monedas).

nos hemos quedado sin cambio(s) we're out of change

¿tiene cambio de cinco mil? have you got change of o for five thousand?

quédese con el cambio keep the change

4 price (finance) (de acciones).

libre cambio free trade; (comercio) floating exchange rates (de divisas)

5 substitution, change (sport) (sustitución).

hacer un cambio to make a substitution o change

1^st person singular (yo) present indicative of spanish verb: cambiar.

* * *

► nombre masculino

1 change, changing

■ un cambio de tiempo a change in the weather

2 (intercambio) exchange, exchanging

■ cambio de impresiones exchange of views

3 (dinero suelto) change, loose change; (vuelta) change

■ ¿me puedes dar cambio de cien euros? can you change a hundred euros?

■ me has dado mal el cambio you've given me the wrong change

4 (acciones) price, quotation; (divisas) exchange rate

5 (tren) switch

6 AUTOMÓVIL gear change

\

a cambio de in exchange for

■ me dio dos libros a cambio del disco he gave me two books in exchange for the record

a las primeras de cambio figurado at the first opportunity

en cambio on the other hand, but, whereas

■ tú no puedes cantar, en cambio él sí you can't sing, but he can

caja de cambio AUTOMÓVIL gearbox

cambio automático AUTOMÓVIL automatic transmission

cambio de la guardia changing of the guard

cambio de marchas (acción) gear change 2 (caja) gearbox

cambio de planes change of plans

casa de cambio bureau de change

libre cambio free trade

* * *

1) change

2) alteration

3) exchange, swap

•

- a cambio

* * *

1) (=variación) change

2) (=intercambio) exchange, swap *

3) (Econ)

a) (=dinero suelto) change

b) [de moneda extranjera] (=tipo) exchange rate

4)

5)

* * *

1)

a) (alteración, modificación) change

b) (Auto) gearshift (AmE), gear change (BrE)

- cambio de escena

- cambio de guardia

- cambio de marchas o velocidades

- cambio de marchas automático

- cambio de rasante

- cambio de vía

2)

a) ( canje) exchange

b) (en locs)

3)

a) (Fin) ( de moneda extranjera) exchange

b) ( diferencia) change

c) ( dinero suelto) change

* * *

1)

a) (alteración, modificación) change

b) (Auto) gearshift (AmE), gear change (BrE)

- cambio de escena

- cambio de guardia

- cambio de marchas o velocidades

- cambio de marchas automático

- cambio de rasante

- cambio de vía

2)

a) ( canje) exchange

b) (en locs)

3)

a) (Fin) ( de moneda extranjera) exchange

b) ( diferencia) change

c) ( dinero suelto) change

* * *

cambio¹

¹ = adaptive response, alteration, change, editing, modulation, move, recasting, redesign, rotation, shift, transfer, transformation, changeover [change-over], disturbance, mutation, permeability, reformation, switchover, reverse, shift away from, shifting, changing of the guard, swing, bartering, switch, switching, change.

cambio²

² = loose change.

cambio³

³ = gear, derailleur.

Nota: De bicicleta.

* * *

1 (alteración, modificación) change

el cambio que ha tenido lugar en él the change he has undergone

un brusco cambio de temperatura a sudden change in temperature

lo que tú necesitas es un cambio de aires or ambiente what you need is a change of scene

ha habido un cambio de planes there's been a change of plan

una operación de cambio de sexo a sex-change operation

cambio de uso del suelo change of land use ( in urban planning)

a la primera de cambio ( fam); at the first opportunity, the first thing you know ( colloq)

2 ( Auto) gearshift ( AmE), gear change ( BrE)

hacer un cambio to change gear

meta el cambio ( AmL); put it in gear

un coche con cinco cambios ( AmL); a car with a five-speed gearbox

caja

climate change

change of address

scene change

change of guard, changing of the guard

audible

(dispositivo) transmission ( AmE), gearbox ( BrE); (acción) gearshift ( AmE), gear change ( BrE)

automatic gearshift ( AmE) o ( BrE) gearbox

manual gearshift ( AmE) o ( BrE) gearbox

brow of a hill

audible

( Auto) junction

cambio de marchas

switch ( AmE), points (pl) ( BrE)

1 (canje) exchange

creo que has salido perdiendo con el cambio I think you've lost out in the deal

[ S ] no se admiten cambios ni devoluciones goods cannot be exchanged or returned

2 ( en locs):

a cambio in exchange, in return

a cambio de in exchange for, in return for

estoy dispuesto a hacerlo a cambio de un pequeño favor I'm prepared to do it in exchange o in return for a small favor

daría cualquier cosa a cambio de un poco de paz I'd do anything for a bit of peace

en cambio: a él le parece espléndido; a mí, en cambio, no me gusta he thinks it's wonderful, but personally I don't like it

el viaje en autobús es agotador, en cambio irse en tren es muy agradable the bus journey is exhausting whereas o but if you go by train it's very pleasant, the bus journey is exhausting; if you go by train, however o on the other hand, it is very pleasant

1 ( Fin) (de moneda extranjera) exchange

cambio de divisas foreign exchange

¿a cómo está el cambio? what's the exchange rate?

[ S ] cambio bureau de change, change

al cambio del día at the current exchange rate

libre¹ (↑ libre (1))

2 (diferencia) change

quédese con el cambio keep the change

me ha dado mal el cambio he's given me the wrong change

3 (dinero menudo) change

¿tienes cambio de diez? can you change ten euros?

necesito cambio para el teléfono I need some change for the telephone

daily exchange rate o rate of exchange

foreign exchange

* * *

1ª persona singular (yo) presente indicativo

3ª persona singular (él/ella/usted) pretérito indicativo

a) (alterar, modificar) ‹horario/imagen/persona› to change

b) (de lugar, posición):

◊ cambio los muebles de lugar to move the furniture around;

c) ( reemplazar) ‹pieza/fecha/sábanas› to change;

◊ le cambió la pila al reloj she changed the battery in the clock;

d) ‹niño/bebé› to change

e) (Fin) to change;

◊ ¿quieres que te cambie el lugar? do you want me to swap o change places with you?

a) [ciudad/persona] to change;

◊ cambio para peor to change for the worse;

b) (Auto) to change gear

c) ( hacer transbordo) to change;

◊ cambio de avión/tren to change planes/train

d) cambio de algo ‹de tema/canal/color› to change sth;

◊ cambio de idea to change one's mind;

a) ( refl) ( de ropa) to change, get changed

b) ( refl) ‹camisa/nombre/peinado› to change;

◊ me cambié de sitio I changed places;

c) cambiose por algn to change places with sb

d) ( recípr) ‹sellos/estampas› to swap, to trade (esp AmE)

e) (CS) ( mudarse de casa) to move

a) ( alteración) change;

b) (Auto) gearshift (AmE), gear change (BrE);

◊ un coche con cinco cambios (AmL) a car with a five-speed gearbox;

a) ( canje) exchange;

b) ( en locs)

◊ a cambio (de) in exchange (for), in return (for);

a) (Fin) ( de moneda extranjera) exchange;

◊ cambio de divisas foreign exchange;

b) ( diferencia) change;

◊ me ha dado mal el cambio he's given me the wrong change

c) ( dinero suelto) change

* * *

♦ nm

1. [alteración, modificación] change;

vivimos una época de grandes cambios we live in times of great change;

cambio de actitud change in attitude;

cambio de gobierno change of government;

cambio radical turnabout, turnround;

cambio de tiempo change in the weather;

ha ganado con el cambio de trabajo he has benefited from changing jobs;

con el cambio de política hemos perdido todos we have all lost out as a result of the change in policy;

se ha producido un cambio de situación the situation has changed, there has been a change in the situation;

el cambio al sistema métrico ha sido muy sencillo the changeover to the metric system has been very straightforward;

tu hijo ha pegado un cambio tremendo your son has really changed;

a las primeras de cambio at the first opportunity;

abandonó la carrera a las primeras de cambio she dropped out of the race almost as soon as it had started o shortly after it had started;

cayeron eliminados a las primeras de cambio they fell at the first hurdle

cambio de domicilio change of address;

cambio de escena Teatro scene change;

cambio generacional: [m5] el partido necesita un cambio generacional urgente the party is in urgent need of a new generation of leaders;

este joven pintor es un ejemplo del cambio generacional en marcha this young man is one of the new generation of painters who are coming to dominate the artistic scene;

cambio de guardia [ceremonia] changing of the guard;

cambio horario [bianual] = putting clocks back or forward one hour;

cambio hormonal hormonal change;

cambio de imagen image change;

el cambio de milenio the end of the millennium;

cambio de rasante brow of a hill;

cambio de sentido U-turn;

cambio de sexo sex change;

2. [reemplazo, trueque] exchange;

(oficina de) cambio [en letrero] Br bureau de change, US foreign-exchange bureau;

durante las rebajas no se admiten cambios while the sales are on, goods may not be exchanged;

a cambio (de) in exchange o return (for);

no pido nada a cambio I'm not asking for anything back o in return;

se admite su vieja lavadora a cambio we will take your old washing machine in part exchange;

te dejo el coche a cambio de que lo laves I'll let you use my car if you wash it for me

cambio de impresiones exchange of views;

cambio de papeles role reversal

3. [monedas, billetes] change;

¿tiene cambio? have you got any change?;

¿tiene cambio de 5.000? have you got change for o Br of 5,000?;

nos hemos quedado sin cambio(s) we're out of change;

quédese con el cambio keep the change;

me ha dado el cambio incorrecto she gave me the wrong change

4. Fin [de acciones] price;

ha bajado el cambio del peso the (exchange rate of the) peso has fallen;

los valores eléctricos han mantenido el cambio share prices in the electricity companies have remained steady;

¿a cuánto está el cambio de la libra? what's the exchange rate for the pound?

cambio extranjero foreign exchange;

cambio medio average exchange rate;

cambio oficial official exchange rate

5. Aut

cambio de marchas [acción] gear change;

cambio sincronizado [en bicicleta] indexed gear;

cambio de velocidades [acción] gear change;

6. Dep [sustitución] substitution, change;

hacer un cambio to make a substitution o change;

el equipo visitante ha pedido (hacer un) cambio the away team want to make a substitution o change;

el jugador lesionado pidió el cambio al entrenador the injured player signalled to the manager that he wanted to come off

♦ interj

¡cambio (y corto)! over!;

¡cambio y cierro! over and out!

♦ en cambio loc adv

ellos no pueden ayudarnos, en cambio tú sí they can't help us, but o whereas you can;

éste me gusta, en cambio este otro es feo I like this one, but this other one is horrible

* * *

1 change;

cambio de domicilio change of address;

cambio de aires change of scene;

cambio de turno change of shift;

cambio de aceite AUTO oil change;

¡cambio! al hablar por radio over!

2 COM exchange rate;

el cambio del día the day’s (exchange) rate;

libre cambio COM free trade

3 ( suelto)

¿tiene cambio? do you have change?

no se admiten cambios goods will not be exchanged

5 en locuciones

a cambio de in exchange for;

en cambio on the other hand

* * *

cambio nm

1) : change, alteration

2) : exchange

3) : change (money)

en cambio : instead

en cambio : however, on the other hand

* * *

cambio n

1. (en general) change

un cambio de imagen a change of image

2. (divisas) exchange rate

   1) Programs and the Complexity of Human Mental Processes

   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)

   2) Artificial Intelligence Is an Engineering Discipline

   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)

   3) A Sceptical View of Artificial Intelligence

   Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....

   When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)

   4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually

   Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)

   5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the Program

   Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)

   6) The Meaning of a Symbolic Description

   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)

   7) The Principle of Artificial Intelligence

   [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)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)

   9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form

   The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)

    10) There Are Many Types of Reasoning

   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)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   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)

    12) The Synthesis of Man and Machine

   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)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)

    14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation

   It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological 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.

   ♦ Weak Psychological AI

   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.

   ♦ Strong Psychological AI

... 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)

   ♦ Suprapsychological AI

   Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)

    16) Determination of Relevance of Rules in Particular Contexts

   Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)

    17) Form and Content Are Not Fundamentally Different

   Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)

    18) The Assumption That the Mind Is a Formal System

   Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)

    19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence

   The primary goal of Artificial Intelligence is to make machines smarter.

   The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)

    20) Mathematical Logic Provides the Basis for Theory in AI

   The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....

   AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)

    21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions

   In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)

    22) Definitions of Artificial Intelligence

   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)

    23) The Computer Can Not Be a Model of the Mind

   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)

    24) Computers Will Not Always Be Inferior to Human Brains

   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)

1 measurement.

¿qué medidas tiene el contenedor? what are the measurements of the container?

a (la) medida custom-built; (mueble) made-to-measure (ropa)

medidas measurements (del cuerpo)

tomar las medidas a alguien to take somebody's measurements

medida de capacidad measure (liquid or dry)

2 measure, step.

adoptar o tomar medidas to take measures o steps

medida preventiva preventive measure

medidas de seguridad safety measures

3 moderation.

sin medida without moderation

4 extent, degree (grado).

¿en qué medida nos afecta? to what extent does it affect us?

en cierta/gran medida to some/a large extent

en mayor/menor medida to a greater/lesser extent

en la medida de lo posible as far as possible

5 course of action.

6 quantity, amount.

7 scoop, scoopful.

past participle of spanish verb: medir.

* * *

► nombre femenino

1 (acción) measuring; (dato, número) measurement

■ ¿qué medidas tienes? what are your measurements?

2 (disposición) measure

■ habrá que tomar medidas cuanto antes measures will have to be taken as soon as possible

3 (grado) extent

■ en cierta medida to a certain extent

■ en mayor medida to a greater extent

4 (prudencia) moderation

5 LITERATURA measure, metre

\

a (la) medida (traje) made-to-measure

a medida que as

en la medida de lo posible as far as possible

tomar/adoptar medidas to take steps, take measures

tomarle las medidas a alguien to take somebody's measurements

medida de capacidad measure of capacity

medida de longitud measure of length

medida de seguridad security measure

medida de volumen measure of volume

* * *

1) measure, measurement

2) step

3) extent

* * *

1) (=unidad de medida) measure

- esto colma la medida

2) (=medición) measuring, measurement

3) pl medidas (=dimensiones) measurements

4) (=proporción)

5) (Cos)

6) LAm (=talla) size

7) (=disposición) measure

8) (=moderación)

9) [de versos] (=medición) measuring, scansion; (=longitud) measure

* * *

1) (Mat) ( dimensión) measurement

2) (en locs)

3) ( objeto) measure; ( contenido) measure

4) (grado, proporción)

5) ( moderación)

6) (Lit) measure

7) ( disposición) measure

* * *

1) (Mat) ( dimensión) measurement

2) (en locs)

3) ( objeto) measure; ( contenido) measure

4) (grado, proporción)

5) ( moderación)

6) (Lit) measure

7) ( disposición) measure

* * *

medida¹

¹ = measure, scale, metric.

Nota: Frecuentemente usado en el plural.

medida²

² = arrangement, countermeasure [counter measure], measure.

medida³

* a medida que = as.

* a medida que + avanzar + el año = as the year + wear on.

* a medida que + avanzar + el día = as the day + wear on.

* a medida que pasaba el tiempo = as time passed (by), as time went by.

* a medida que pasa el tiempo = as time goes by, as time passes (by).

* a medida que pasa + Expresión Temporal = as + Expresión Temporal + go by.

* a medida que + pasar + el año = as the year + wear on.

* a medida que + pasar + el día = as the day + wear on.

* a medida que se necesite = on demand, on request, as required.

* a medida que + transcurrir + el año = as the year + wear on.

* a medida que + transcurrir + el día = as the day + wear on.

* * *

A ( Mat) (dimensión) measurement

anota las medidas de la lavadora make a note of the measurements of the washing machine

¿qué medidas tiene el cuarto? what are the dimensions of the room?

¿cuáles son las medidas reglamentarias de una piscina olímpica? what's the regulation size of an olympic pool?

la modista me tomó las medidas the dressmaker took my measurements

tomar las medidas de algo to measure something

surface measurement

B ( en locs):

a (la) medida: un traje (hecho) a medida a custom-made suit ( AmE), a made-to-measure suit ( BrE)

usa zapatos a medida he wears made-to-measure shoes

servicios diseñados a la medida custom-designed services

a la medida de algo: fabricamos muebles a la medida de su exigencia we manufacture furniture to meet all your requirements

éste es un proyecto a la medida de su ambición this is a project in keeping with o which matches his ambitions

necesita una actividad a la medida de su talento he needs a job which will suit o which is commensurate with his abilities

a medida que as

a medida que va pasando el tiempo uno se va adaptando as time goes on, one (gradually) adapts

a medida que se acercaba la fecha se ponía más y más nervioso as the date drew closer he got more and more nervous

a medida que la fue conociendo se fue desengañando the more he got to know her o the better he got to know her o as he got to know her the more disillusioned he became

1 (objeto) measure

2 (contenido) measure

un vaso de leche por cada medida de cacao one glass of milk per measure of cocoa

llenar or colmar la medida: eso colmó la medida, ya no estaba dispuesto a aguantar más that was the last straw, I wasn't going to take any more

cubic measure

dry/liquid measure

(grado, proporción): en buena or gran medida to a great o large extent

en cierta/menor medida to a certain/lesser extent

intentaremos, en la medida de lo posible, satisfacer a todo el mundo insofar as it is possible o as far as possible we will try to satisfy everyone

intentará hacer algo por ti en la medida en que le sea posible she'll try and do whatever she can for you

(moderación): come con medida he eats moderately

gastan dinero sin medida they spend money like water, they're very extravagant (with money)

F ( Lit) measure

G (disposición) measure

la huelga y otras medidas de presión the strike and other forms of pressure

expulsarlo me parece una medida demasiado drástica I think expelling him is too drastic a step o is a rather drastic measure

tomar medidas to take steps o measures

me veré en la obligación de tomar medidas más estrictas I will be obliged to adopt more severe measures

tomaré todas las medidas necesarias para que no vuelva a suceder I will take all the necessary steps to see that this does not happen again

es conveniente tomar estas pastillas como medida preventiva it's advisable to take these pills as a preventive measure

preventative o precautionary measure

security measures

(en Ur) emergency security measures

* * *

◊ tomarle las medidas a algn to take sb's measurements;

◊ a (la) medida ‹traje/zapato› custom-made (AmE), made-to-measure (BrE);

◊ en gran/cierta medida to a large/certain extent;

◊ tomar medidas to take steps o measures

* * *

medida nf

1. [dimensión, medición] measurement;

¿qué medidas tiene el contenedor? what are the measurements of the container?;

unidades de medida units of measurement;

a (la) medida [mueble] custom-built;

es una casa/un trabajo a tu medida it's the ideal house/job for you, it's as if the house/job were made for you;

a (la) medida de mi deseo just as I would have wanted it;

medidas [del cuerpo] measurements;

tomar las medidas a alguien to take sb's measurements;

tomar las medidas de algo to measure sth;

le tengo tomada la medida al jefe I know what the boss is like;

ya le voy tomando la medida al nuevo trabajo I'm getting the hang of the new job

2. [cantidad específica] measure;

el daiquiri lleva una medida de limón por cada tres de ron a daiquiri is made with one part lemon to three parts rum

3. [disposición] measure, step;

adoptar o [m5] tomar medidas to take measures o steps;

yo ya he tomado mis medidas I'm prepared, I've made my preparations;

tomar medidas disciplinarias (contra) to take disciplinary action (against);

ejercer medidas de presión contra alguien to lobby sb;

tomar medidas represivas (contra) to clamp down (on)

medidas de seguridad [contra accidentes] safety precautions;

4. [moderación] moderation;

con/sin medida in/without moderation

5. [grado] extent;

¿en qué medida nos afecta? to what extent does it affect us?;

en cierta/gran medida to some/a large extent;

en mayor/menor medida to a greater/lesser extent;

en la medida de lo posible as far as possible;

a medida que iban entrando as they were coming in;

en la medida en que insofar as

6. Lit [de verso] measure

* * *

1 ( unidad) measure; acto measurement;

hecho a medida made to measure;

está hecho a medida de mis necesidades it’s tailor-made for me;

tomar las medidas a alguien take s.o.’s measurements;

tomar medidas fig take measures o

steps

2 ( grado) extent;

en mayor medida to a greater extent

a medida que as

* * *

medida nf

1) : measurement, measure

hecho a medida: custom-made

2) : measure, step

tomar medidas: to take steps

3) : moderation, prudence

sin medida: immoderately

4) : extent, degree

en gran medida: to a great extent

* * *

medida n

1. (extensión) measurement

2. (unidad, acción) measure

SUBJECT AREA: Aerospace, Architecture and building, Horology, Weapons and armour

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Leonardo was the illegitimate son of a Florentine lawyer. His first sixteen years were spent with the lawyer's family in the rural surroundings of Vinci, which aroused in him a lifelong love of nature and an insatiable curiosity in it. He received little formal education but extended his knowledge through private reading. That gave him only a smattering of Latin, a deficiency that was to be a hindrance throughout his active life. At sixteen he was apprenticed in the studio of Andrea del Verrochio in Florence, where he received a training not only in art but in a wide variety of crafts and technical arts.

In 1482 Leonardo went to Milan, where he sought and obtained employment with Ludovico Sforza, later Duke of Milan, partly to sculpt a massive equestrian statue of Ludovico but the work never progressed beyond the full-scale model stage. He did, however, complete the painting which became known as the Virgin of the Rocks and in 1497 his greatest artistic achievement, The Last Supper, commissioned jointly by Ludovico and the friars of Santa Maria della Grazie and painted on the wall of the monastery's refectory. Leonardo was responsible for the court pageants and also devised a system of irrigation to supply water to the plains of Lombardy. In 1499 the French army entered Milan and deposed Leonardo's employer. Leonardo departed and, after a brief visit to Mantua, returned to Florence, where for a time he was employed as architect and engineer to Cesare Borgia, Duke of Romagna. Around 1504 he completed another celebrated work, the Mona Lisa.

In 1506 Leonardo began his second sojourn in Milan, this time in the service of King Louis XII of France, who appointed him "painter and engineer". In 1513 Leonardo left for Rome in the company of his pupil Francesco Melzi, but his time there was unproductive and he found himself out of touch with the younger artists active there, Michelangelo above all. In 1516 he accepted with relief an invitation from King François I of France to reside at the small château of St Cloux in the royal domain of Amboise. With the pension granted by François, Leonardo lived out his remaining years in tranquility at St Cloux.

Leonardo's career can hardly be regarded as a success or worthy of such a towering genius. For centuries he was known only for the handful of artistic works that he managed to complete and have survived more or less intact. His main activity remained hidden until the nineteenth and twentieth centuries, during which the contents of his notebooks were gradually revealed. It became evident that Leonardo was one of the greatest scientific investigators and inventors in the history of civilization. Throughout his working life he extended a searching curiosity over an extraordinarily wide range of subjects. The notes show careful investigation of questions of mechanical and civil engineering, such as power transmission by means of pulleys and also a form of chain belting. The notebooks record many devices, such as machines for grinding and polishing lenses, a lathe operated by treadle-crank, a rolling mill with conical rollers and a spinning machine with pinion and yard divider. Leonardo made an exhaustive study of the flight of birds, with a view to designing a flying machine, which obsessed him for many years.

Leonardo recorded his observations and conclusions, together with many ingenious inventions, on thousands of pages of manuscript notes, sketches and drawings. There are occasional indications that he had in mind the publication of portions of the notes in a coherent form, but he never diverted his energy into putting them in order; instead, he went on making notes. As a result, Leonardo's impact on the development of science and technology was virtually nil. Even if his notebooks had been copied and circulated, there were daunting impediments to their understanding. Leonardo was left-handed and wrote in mirror-writing: that is, in reverse from right to left. He also used his own abbreviations and no punctuation.

At his death Leonardo bequeathed his entire output of notes to his friend and companion Francesco Melzi, who kept them safe until his own death in 1570. Melzi left the collection in turn to his son Orazio, whose lack of interest in the arts and sciences resulted in a sad period of dispersal which endangered their survival, but in 1636 the bulk of them, in thirteen volumes, were assembled and donated to the Ambrosian Library in Milan. These include a large volume of notes and drawings compiled from the various portions of the notebooks and is now known as the Codex Atlanticus. There they stayed, forgotten and ignored, until 1796, when Napoleon's marauding army overran Italy and art and literary works, including the thirteen volumes of Leonardo's notebooks, were pillaged and taken to Paris. After the war in 1815, the French government agreed to return them but only the Codex Atlanticus found its way back to Milan; the rest remained in Paris. The appendix to one notebook, dealing with the flight of birds, was later regarded as of sufficient importance to stand on its own. Four small collections reached Britain at various times during the seventeenth and eighteenth centuries; of these, the volume in the Royal Collection at Windsor Castle is notable for its magnificent series of anatomical drawings. Other collections include the Codex Leicester and Codex Arundel in the British Museum in London, and the Madrid Codices in Spain.

Towards the end of the nineteenth century, Leonardo's true stature as scientist, engineer and inventor began to emerge, particularly with the publication of transcriptions and translations of his notebooks. The volumes in Paris appeared in 1881–97 and the Codex Atlanticus was published in Milan between 1894 and 1904.

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LRD / IMcN

SUBJECT AREA: Photography, film and optics

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The young Eastman was a clerk-bookkeeper in the Rochester Savings Bank when in 1877 he took up photography. Taking lessons in the wet-plate process, he became an enthusiastic amateur photographer. However, the cumbersome equipment and noxious chemicals used in the process proved an obstacle, as he said, "It seemed to be that one ought to be able to carry less than a pack-horse load." Then he came across an account of the new gelatine dry-plate process in the British Journal of Photography of March 1878. He experimented in coating glass plates with the new emulsions, and was soon so successful that he decided to go into commercial manufacture. He devised a machine to simplify the coating of the plates, and travelled to England in July 1879 to patent it. In April 1880 he prepared to begin manufacture in a rented building in Rochester, and contacted the leading American photographic supply house, E. \& H.T.Anthony, offering them an option as agents. A local whip manufacturer, Henry A.Strong, invested $1,000 in the enterprise and the Eastman Dry Plate Company was formed on 1 January 1881. Still working at the Savings Bank, he ran the business in his spare time, and demand grew for the quality product he was producing. The fledgling company survived a near disaster in 1882 when the quality of the emulsions dropped alarmingly. Eastman later discovered this was due to impurities in the gelatine used, and this led him to test all raw materials rigorously for quality. In 1884 the company became a corporation, the Eastman Dry Plate \& Film Company, and a new product was announced. Mindful of his desire to simplify photography, Eastman, with a camera maker, William H.Walker, designed a roll-holder in which the heavy glass plates were replaced by a roll of emulsion-coated paper. The holders were made in sizes suitable for most plate cameras. Eastman designed and patented a coating machine for the large-scale production of the paper film, bringing costs down dramatically, the roll-holders were acclaimed by photographers worldwide, and prizes and medals were awarded, but Eastman was still not satisfied. The next step was to incorporate the roll-holder in a smaller, hand-held camera. His first successful design was launched in June 1888: the Kodak camera. A small box camera, it held enough paper film for 100 circular exposures, and was bought ready-loaded. After the film had been exposed, the camera was returned to Eastman's factory, where the film was removed, processed and printed, and the camera reloaded. This developing and printing service was the most revolutionary part of his invention, since at that time photographers were expected to process their own photographs, which required access to a darkroom and appropriate chemicals. The Kodak camera put photography into the hands of the countless thousands who wanted photographs without complications. Eastman's marketing slogan neatly summed up the advantage: "You Press the Button, We Do the Rest." The Kodak camera was the last product in the design of which Eastman was personally involved. His company was growing rapidly, and he recruited the most talented scientists and technicians available. New products emerged regularly—notably the first commercially produced celluloid roll film for the Kodak cameras in July 1889; this material made possible the introduction of cinematography a few years later. Eastman's philosophy of simplifying photography and reducing its costs continued to influence products: for example, the introduction of the one dollar, or five shilling, Brownie camera in 1900, which put photography in the hands of almost everyone. Over the years the Eastman Kodak Company, as it now was, grew into a giant multinational corporation with manufacturing and marketing organizations throughout the world. Eastman continued to guide the company; he pursued an enlightened policy of employee welfare and profit sharing decades before this was common in industry. He made massive donations to many concerns, notably the Massachusetts Institute of Technology, and supported schemes for the education of black people, dental welfare, calendar reform, music and many other causes, he withdrew from the day-to-day control of the company in 1925, and at last had time for recreation. On 14 March 1932, suffering from a painful terminal cancer and after tidying up his affairs, he shot himself through the heart, leaving a note: "To my friends: My work is done. Why wait?" Although Eastman's technical innovations were made mostly at the beginning of his career, the organization which he founded and guided in its formative years was responsible for many of the major advances in photography over the years.

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SUBJECT AREA: Paper and printing

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Ruggles, a Bostonian, made a cylinder press in 1827 and also a card press, but neither was manufactured. In 1839 he completed his "Engine" press, the first self-inking, treadle-driven jobbing platen press. The machine presses that had been developed from Koenig and Bauer c. 1810 were suitable for large-scale printing but less so for the small miscellaneous work of the jobbing printer. For these needs, the bed and platen press was developed. The bed (carrying the type) and the platen (which pressed the paper onto the inked type) were pivoted and brought together like the jaws of a nutcracker instead of moving on a separate carriage. With automatic inking and treadle operation, the press offered a rapid and simple action for the small printer. In Ruggles's first press of this kind, the bed and platen were still horizontal, the bed being uppermost. If the type became loose, however, it fell onto the platen, so in 1851 Ruggles constructed a new version in which bed and platen were vertical. Later designers modified the form of the press, but it was the Ruggles that opened up a new era for the jobbing printer.

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¹ = adaptive response, alteration, change, editing, modulation, move, recasting, redesign, rotation, shift, transfer, transformation, changeover [change-over], disturbance, mutation, permeability, reformation, switchover, reverse, shift away from, shifting, changing of the guard, swing, bartering, switch, switching, change.

Ex. It is too early to assess the success of the adaptive responses which have been instituted in most SLIS.

Ex. A musical adaptation is a musical work that represents a distinct alteration of another work (e.g. a free transcription), a work that paraphrases parts of various works or the general style of another composer, or a work that is merely based on other music (e.g. variations on a them).

Ex. These changes have meant modifications, some very time-consuming, to serials catalogues in libraries.

Ex. To ensure further that all the index entries generated by chain procedure are indeed helpful, the initial analysis of the chain may require editing.

Ex. There is little modulation, whole steps of division being short-circuited and an odd assembly of terms being frequently found: e.g.: LAW see also JURY, JUDGES.

Ex. Better flexibility is achieved if the heating, ventilation and lighting can accommodate this move without the need for any alterations.

Ex. This kind of large-scale recasting offers an opportunity for the scheme to go forward rather than stagnate until it is completely taken by events.

Ex. This action was the redesign of the enquiry form in order to elicit more information from the enquirer.

Ex. The entries that result from the rotation mechanism have standard layout, punctuation and typography, all of which have been pre-programmed.

Ex. Transitory circumstances of daily life are what cause these shifts.

Ex. When the record transfer is complete, the catalog summary screen is shown for the new record so that the user can review and update it.

Ex. Hungary faces far-reaching socio-economic transformation which will inevitably affect libraries as well.

Ex. The changeover has resulted in more rapid machine-editing of input and reduced costs for cataloguing.

Ex. A centralised system was chosen to ensure speedy receipt and dissemination with minimal disturbances.

Ex. The very meanings of words like 'library' and 'university' are about to undergo mutations too radical to conceive, much less predict = Los significados mismos de palabras como "biblioteca" y "universidad" están a punto de experimentar cambios demasiado radicales de concevir y cuanto mucho menos de predecir.

Ex. There is greater permeability than before between different types of library at the start of a career but, once settled in a post, fewer librarians than before change from one type of library to another.

Ex. The author presents suggestions for the reformation of medical library education.

Ex. The transition date for the switchover is 1 Oct 2000.

Ex. Moreover, we conclude that the process of placing a feminist stamp on working relations is both far from complete and subject to reverses.

Ex. This article discusses the effects of changes in the economy on the distribution of work in libraries which indicate a shift away from its female origins.

Ex. This article considers the use of a spreadsheet in the shifting of periodicals collections in order to save time.

Ex. The recent reorganization has resulted in a merger of the academic and public divisions and a changing of the guard among the company's top officials.

Ex. The addition of new feedback techniques produced a significant swing in favour of the application.

Ex. Holdings will become increasingly important as a bartering tool to gain additional access benefits.

Ex. Office automation have brought about a switch to a paperless office.

Ex. These 'spuriously loyal' customers are not willing to churn just because of switching costs.

Ex. Most libraries maintain a small cash float for the giving of change and, in addition, money/ is received in payment of fines.

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* a cambio = in return.

* a cambio de = in exchange for, in return for.

* a cambio de nada = for nothing.

* aceptar el cambio = embrace + change.

* aceptar un cambio = accommodate + change.

* adaptarse al cambio = accommodate to + change, adapt to + change.

* adaptarse a los cambios = flow with + the tides.

* adoptar un cambio = adopt + change, accommodate + change.

* agente de cambio = agent of(for) change, force for change, force of change.

* agente del cambio = change agent.

* aires de cambio = wind(s) of change, the, seas of change, the.

* cambio a = flight to.

* cambio brusco = revulsion, flip-flop.

* cambio brusco de velocidad del viento = wind shear.

* cambio climático = climate change, climatic change.

* cambio cualitativo = step change, qualitative change.

* cambio cuantitativo = quantitative change.

* cambio cultural = cultural change.

* cambio de actitud = change in attitude, change of heart.

* cambio de aires = change of scenery, change of air and scene, change of air, change of scene, greener pastures, pastures new.

* cambio de ambiente = change of scenery, change of air and scene, change of air, change of scene.

* cambio de aspecto = lick of paint.

* cambio de ciudadanía = change of citizenship.

* cambio de dirección = change of hands.

* cambio de dueño = change of hands.

* cambio de énfasis = shift of emphasis, shift in emphasis.

* cambio de entorno = change of scenery, change of air and scene, change of air, change of scene.

* cambio de hora estacional = daylight saving time.

* cambio de idea = change of heart, change of mind.

* cambio de imagen = makeover [make-over], makeover [make-over].

* cambio de instalación eléctrica = rewiring.

* cambio de la guardia = changing of the guard.

* cambio de look = lick of paint.

* cambio de lugar = relocation.

* cambio de manos = change of hands.

* cambio de mirada = gaze-shift.

* cambio demográfico = population trend.

* cambio de nacionalidad = change of citizenship.

* cambio de nombre = rebranding.

* cambio de opinión = change of heart, change of mind.

* cambio de orientación = paradigm change, paradigm shift.

* cambio de paradigma = paradigm change, paradigm shift.

* cambio de parecer = change of heart, change of mind.

* cambio de procedimiento = procedural change.

* cambio de propietario = change of hands.

* cambio de proveedor = churn.

* cambio de registro = code switching.

* cambio de residencia = resettlement.

* cambio de servicio = churn.

* cambio de sexo = sex change.

* cambio de título = title change.

* cambio escénico = scene changing.

* cambio estacional = seasonal change.

* cambio hormonal = hormonal change.

* cambio inesperado = twist.

* cambio institucional = institutional change.

* cambio metereológico = weather modification.

* cambio + ocurrir = change + take place.

* cambio + producirse = change + come about.

* cambio profundo = profound change.

* cambio radical = revulsion, sea change, radical change.

* cambio radical de postura = about-face.

* cambio revolucionario = revolutionary change.

* cambios = second thoughts, ebb and flow.

* cambio social = social change, societal change.

* cambio + suceder = change + take place.

* cambio + tener lugar = change + take place.

* cambio total = turnabout [turn-about], turnaround.

* cambio transformador = transformative change, transforming change.

* cambio traumático = traumatic change.

* cambio vertiginoso = spiral of change.

* clima de cambio = climate of change.

* efectuar cambios = wreak + changes.

* efectuar un cambio = effect + change.

* elemento de cambio = agent of(for) change.

* en cambio = by contrast, in contrast, instead, shifting, by comparison.

* en constante cambio = ever-changing [ever changing], ever-fluid, on the move, fast changing [fast-changing], ever-shifting.

* en continuo cambio = constantly shifting, ever-changing [ever changing], ever-shifting.

* en estado de cambio = in a state of flux.

* enfrentarse a los cambios = cope with + change.

* en proceso de cambio = changing.

* estado de cambio = state of flux.

* estar en estado de cambio = be in flux.

* estar en proceso de cambio = be in flux.

* estar sujeto a cambios = be written in sand, not stone, be subject to change.

* experimentar un cambio = bring about + change, undergo + modification, undergo + change, undergo + transition.

* experimentar un cambio + Adjetivo = take + a + Adjetivo + turn.

* hacer cambios en la búsqueda = renegotiate + search.

* hacer cambios indebidamente = tamper (with).

* hacer el cambio = make + the change.

* hacer frente al cambio = manage + change.

* hacer frente a un cambio = meet + change.

* hacer un cambio = make + change.

* impulsor del cambio = driver of change.

* introducir un cambio = bring + change.

* libre cambio = laissez-faire.

* línea internacional de cambio de fecha, la = International Date Line, the.

* lograr un cambio = accomplish + change.

* los constantes cambios de = the changing face of, the changing nature of.

* momento clave del cambio = tipping point.

* moneda de cambio = bargaining chip.

* mostrar por medio de cambio de intensidad en el brillo = flash up.

* motor del cambio = driver of change.

* no hacer ningún cambio = stand + pat.

* no sufrir cambios = remain + normal.

* ocasionar un cambio = bring about + change, trigger + change.

* operación de cambio de sexo = sex-change surgery, sex-change operation.

* permanecer sin cambios = remain + unchanged.

* proceso de cambio = process of change.

* producir un cambio = effect + change, produce + change, trigger + change.

* provocar cambios = wreak + changes.

* provocar un cambio = bring about + change.

* reacio al cambio = resistant to change.

* realizar un cambio = make + alteration, implement + change.

* repercusiones del cambio = impact of change.

* resistente al cambio = resistant to change.

* ritmo del cambio = rate of change, pace of change.

* ser susceptible de cambios = be subject to change.

* sin cambio = inviolate.

* sin cambios = monotone, stable, undisturbed, unchanged, unmodified, unaltered, unedited.

* subsidio para cambio de residencia = resettlement allowance.

* suceder un cambio = occur + change.

* sucesión de cambios bruscos = roller coaster ride, roller coaster.

* sufrir un cambio = experience + change, undergo + change.

* suponer un cambio = bring about + change.

* trabajar a cambio de nada = work for + nothing.

1 half a, half, half an, mid.

2 average.

3 half-way, halfway.

4 one-half.

half-way, half, kind of, partially.

1 means, manner, mode, way.

2 center, midway, midst.

3 medium, instrument, means.

4 environment.

5 halfback.

6 medium.

1^st person singular (yo) present indicative of spanish verb: mediar.

* * *

► adjetivo

1 (mitad) half

■ las dos y media half past two

■ media docena de huevos half a dozen eggs

■ un año y medio a year and a half

2 (intermedio) middle

■ a media tarde in the middle of the afternoon

3 (de promedio) average

■ una velocidad media de... an average speed of...

► adverbio

1 half

■ medio terminado,-a half-finished

■ he dejado los platos a medio lavar I've left the washing-up half-done

► nombre masculino medio

1 (mitad) half

2 (centro) middle

■ en el medio de la plaza in the middle of the square

3 (contexto - físico) environment

■ tiene problemas de adaptación al medio she has problems adapting to her environment

4 (social) circle

■ se mueve en un medio muy poco estimulante he moves in rather boring circles

► nombre masculino plural medios

1 (recursos) means

\

equivocarse de medio a medio to get it all wrong

estar (todo) por el medio to be in the way

ponerse en medio to get in the way

por medio de through, by means of

por todos los medios by all means

quitar algo/alguien de en medio to get something/somebody out of the way

media aritmética arithmetic mean

medio ambiente environment

medio fondo middle-distance

■ una carrera de medio fondo a middle-distance race

medios de comunicación (mass) media

medios de transporte means of transport

► nombre masculino

1 (mitad) half

2 (centro) middle

■ en el medio de la plaza in the middle of the square

3 (contexto - físico) environment

■ tiene problemas de adaptación al medio she has problems adapting to her environment

4 (social) circle

■ se mueve en un medio muy poco estimulante he moves in rather boring circles

► nombre masculino plural

* * *

1) middle

2) element

3) medium

4) means

•

- medio ambiente

* * *

1. ADJ

1) (=la mitad de) half

2) (=intermedio)

3) (=promedio) average

4) (=normal) average

5)

2. ADV

1) [con adjetivo] half

2) [con verbo, adverbio]

3) LAm (=bastante) rather, quite, pretty *

3. SM

1) (=centro) middle, centre, center (EEUU)