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called number display

  • 1 called-number display

    called-number display NRT Rufnummernanzeige f, Anzeige f der Rufnummer des angerufenen Teilnehmers (siehe auch: COLP)

    English-German dictionary of Electrical Engineering and Electronics > called-number display

  • 2 called number display

    n
    TELECOM dispositivo visualizador del número llamado m

    English-Spanish technical dictionary > called number display

  • 3 called

    English-Spanish technical dictionary > called

  • 4 BIOS

    ['baios] n. shkurtesë nga b asic i nput o utput s ystem ( BIOS) sistemi themelor për hyrje-dalje ( informatikë)
    What is BIOS?
    BIOS is an acronym for Basic Input/Output System. It is the boot firmware program on a PC, and controls the computer from the time you start it up until the operating system takes over. When you turn on a PC, the BIOS first conducts a basic hardware check, called a Power-On Self Test (POST), to determine whether all of the attachments are present and working. Then it loads the operating system into your computer's random access memory, or RAM.
    The BIOS also manages data flow between the computer's operating system and attached devices such as the hard disk, video card, keyboard, mouse, and printer.
    The BIOS stores the date, the time, and your system configuration information in a battery-powered, non-volatile memory chip, called a CMOS (Complementary Metal Oxide Semiconductor) after its manufacturing process.
    Although the BIOS is standardized and should rarely require updating, some older BIOS chips may not accommodate new hardware devices. Before the early 1990s, you couldn't update the BIOS without removing and replacing its ROM chip. Contemporary BIOS resides on memory chips such as flash chips or EEPROM (Electrically Erasable Programmable Read-Only Memory), so that you can update the BIOS yourself if necessary.
    For detailed information about BIOS updates, visit:
    What is firmware?
    Firmware consists of programs installed semi-permanently into memory, using various types of programmable ROM chips, such as PROMS, EPROMs, EEPROMs, and flash chips.
    Firmware is non-volatile, and will remain in memory after you turn the system off.
    Often, the term firmware is used to refer specifically to boot firmware, which controls a computer from the time that it is turned on until the primary operating system has taken over. Boot firmware's main function is to initialize the hardware and then to boot (load and execute) the primary operating system. On PCs, the boot firmware is usually referred to as the BIOS.
    What is the difference between memory and disk storage?
    Memory and disk storage both refer to internal storage space in a computer.
    The term memory usually means RAM (Random Access Memory). To refer to hard drive storage, the terms disk space or storage are usually used.
    Typically, computers have much less memory than disk space, because RAM is much more expensive per megabyte than a hard disk. Today, a typical desktop computer might come with 512MB of RAM, and a 40 gigabyte hard disk.
    Virtual memory is disk space that has been designated to act like RAM.
    Computers also contain a small amount of ROM, or read-only memory, containing permanent or semi-permanent (firmware) instructions for checking hardware and starting up the computer. On a PC, this is called the BIOS.
    What is RAM?
    RAM stands for Random Access Memory. RAM provides space for your computer to read and write data to be accessed by the CPU (central processing unit). When people refer to a computer's memory, they usually mean its RAM.
    New computers typically come with at least 256 megabytes (MB) of RAM installed, and can be upgraded to 512MB or even a gigabyte or more.
    If you add more RAM to your computer, you reduce the number of times your CPU must read data from your hard disk. This usually allows your computer to work considerably faster, as RAM is many times faster than a hard disk.
    RAM is volatile, so data stored in RAM stays there only as long as your computer is running. As soon as you turn the computer off, the data stored in RAM disappears.
    When you turn your computer on again, your computer's boot firmware (called BIOS on a PC) uses instructions stored semi-permanently in ROM chips to read your operating system and related files from the disk and load them back into RAM.
    Note: On a PC, different parts of RAM may be more or less easily accessible to programs. For example, cache RAM is made up of very high-speed RAM chips which sit between the CPU and main RAM, storing (i.e., caching) memory accesses by the CPU. Cache RAM helps to alleviate the gap between the speed of a CPU's megahertz rating and the ability of RAM to respond and deliver data. It reduces how often the CPU must wait for data from main memory.
    What is ROM?
    ROM is an acronym for Read-Only Memory. It refers to computer memory chips containing permanent or semi-permanent data. Unlike RAM, ROM is non-volatile; even after you turn off your computer, the contents of ROM will remain.
    Almost every computer comes with a small amount of ROM containing the boot firmware. This consists of a few kilobytes of code that tell the computer what to do when it starts up, e.g., running hardware diagnostics and loading the operating system into RAM. On a PC, the boot firmware is called the BIOS.
    Originally, ROM was actually read-only. To update the programs in ROM, you had to remove and physically replace your ROM chips. Contemporary versions of ROM allow some limited rewriting, so you can usually upgrade firmware such as the BIOS by using installation software. Rewritable ROM chips include PROMs (programmable read-only memory), EPROMs (erasable read-only memory), EEPROMs (electrically erasable programmable read-only memory), and a common variation of EEPROMs called flash memory.
    What is an ACPI BIOS?
    ACPI is an acronym that stands for Advanced Configuration and Power Interface, a power management specification developed by Intel, Microsoft, and Toshiba. ACPI support is built into Windows 98 and later operating systems. ACPI is designed to allow the operating system to control the amount of power provided to each device or peripheral attached to the computer system. This provides much more stable and efficient power management and makes it possible for the operating system to turn off selected devices, such as a monitor or CD-ROM drive, when they are not in use.
    ACPI should help eliminate computer lockup on entering power saving or sleep mode. This will allow for improved power management, especially in portable computer systems where reducing power consumption is critical for extending battery life. ACPI also allows for the computer to be turned on and off by external devices, so that the touch of a mouse or the press of a key will "wake up" the computer. This new feature of ACPI, called OnNow, allows a computer to enter a sleep mode that uses very little power.
    In addition to providing power management, ACPI also evolves the existing Plug and Play BIOS (PnP BIOS) to make adding and configuring new hardware devices easier. This includes support for legacy non-PnP devices and improved support for combining older devices with ACPI hardware, allowing both to work in a more efficient manner in the same computer system. The end result of this is to make the BIOS more PnP compatible.
    What is CMOS?
    CMOS, short for Complementary Metal Oxide Semiconductor, is a low-power, low-heat semiconductor technology used in contemporary microchips, especially useful for battery-powered devices. The specific technology is explained in detail at:
    http://searchsmb.techtarget.com/sDefinition/0,,sid44_gci213860,00.html
    Most commonly, though, the term CMOS is used to refer to small battery-powered configuration chips on system boards of personal computers, where the BIOS stores the date, the time, and system configuration details.
    How do I enter the Setup program in my BIOS?
    Warning: Your BIOS Setup program is very powerful. An incorrect setting could cause your computer not to boot properly. You should make sure you understand what a setting does before you change it.
    You can usually run Setup by pressing a special function key or key combination soon after turning on the computer, during its power-on self test (POST), before the operating system loads (or before the operating system's splash screen shows). During POST, the BIOS usually displays a prompt such as:
    Press F2 to enter Setup
    Many newer computers display a brief screen, usually black and white, with the computer manufacturer's logo during POST.
    Entering the designated keystroke will take you into the BIOS Setup. Common keystrokes to enter the BIOS Setup are F1, F2, F10, and Del.
    On some computers, such as some Gateway or Compaq computers, graphics appear during the POST, and the BIOS information is hidden. You must press Esc to make these graphics disappear. Your monitor will then display the correct keystroke to enter.
    Note: If you press the key too early or too often, the BIOS may display an error message. To avoid this, wait about five seconds after turning the power on, and then press the key once or twice.
    What's the difference between BIOS and CMOS?
    Many people use the terms BIOS (basic input/output system) and CMOS (complementary metal oxide semiconductor) to refer to the same thing. Though they are related, they are distinct and separate components of a computer. The BIOS is the program that starts a computer up, and the CMOS is where the BIOS stores the date, time, and system configuration details it needs to start the computer.
    The BIOS is a small program that controls the computer from the time it powers on until the time the operating system takes over. The BIOS is firmware, which means it cannot store variable data.
    CMOS is a type of memory technology, but most people use the term to refer to the chip that stores variable data for startup. A computer's BIOS will initialize and control components like the floppy and hard drive controllers and the computer's hardware clock, but the specific parameters for startup and initializing components are stored in the CMOS.

    English-Albanian dictionary > BIOS

  • 5 Artificial Intelligence

       In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)
       Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)
       Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....
       When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)
       4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually
       Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)
       Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)
       What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)
       [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)
       The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)
       9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form
       The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)
       There are many different kinds of reasoning one might imagine:
        Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."
        Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)
       Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)
       Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)
       The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)
        14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation
       It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)
       We might distinguish among four kinds of AI.
       Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.
       Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.
    ... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)
       Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)
        16) Determination of Relevance of Rules in Particular Contexts
       Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)
       Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)
        18) The Assumption That the Mind Is a Formal System
       Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)
        19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence
       The primary goal of Artificial Intelligence is to make machines smarter.
       The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)
       The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....
       AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)
        21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions
       In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)
       Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)
       Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)
       The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

    Historical dictionary of quotations in cognitive science > Artificial Intelligence

  • 6 L

    1) Общая лексика: "учебная" (обозначение учебного автомобиля), L-образный, имеющий форму буквы L, пятьдесят (L; в системе римских цифр)
    2) Компьютерная техника: Leftmost, Lookup
    3) Биология: leucine
    4) Медицина: leukocytes
    5) Разговорное выражение: элька (-size = размер одежды)
    6) Американизм: крыло дома, надземная железная дорога (на эстакаде), пристройка, флигель
    7) Спорт: Last, League, Lightweight, левый
    8) Военный термин: Lancers, Lucky, landplane, latitude, launch, launcher, leaflet, leave, lethal, letter, level, lieutenant, lift, link, list, listening, live, locator, logistics, longitude, люизит (ОВ общеядовитого и кожно-нарывного действия), оснащённый прожектором, посадка разрешена, самолёт для полётов в условиях холодного климата, холодный патрон, число дней до запуска (ракеты), запускаемый из шахты (о ракете), lewisite
    10) Сельское хозяйство: litter
    11) Страхование: Timber load line
    12) Автомобильный термин: liters
    13) Грубое выражение: Loser, Losers
    14) Дипломатический термин: пятьдесят (в системе римских цифр)
    15) Телевидение: LUM, loading
    16) Сокращение: CXR "L" Carrier Coaxial System ( e.g., Transcontinental Cable) - also called LCXR, Labour, Latin, Lewisite (Chemical warfare blister agent), Liberal, Liberalism, Lima (phonetic alphabet), London, Luxembourg, Time zone 157.5 E - 172.5 E (GMT -11), lady, lake, lord, libra (pound)
    17) Университет: Late, Lecture, Lecturer, Lit
    18) Физиология: Life, Lumbar
    19) Электроника: Luminance
    20) Вычислительная техника: label, light, longitudinal, закон, правило, принцип
    23) Картография: little, loch, lough
    24) Банковское дело: денежный агрегат эл (самое широкое понятие денежной массы), зарегистрированный на фондовой бирже (listed), минимальная цена (lowest price), наименьший курс ценных бумаг (lowest price), пригодный для биржевых операций
    25) Деловая лексика: Labor
    26) Бурение: известь (lime)
    27) Образование: Learn, Learning
    28) Инвестиции: listed, lowest price, lumpsum
    29) Полимеры: lithium
    31) Авиационная медицина: liveware
    32) Расширение файла: Lex language source code file, Lisp language source code file, L-System fractal (Fractint), Linker directive file (WATCOM wlink)
    34) Электротехника: нижняя технологическая граница (заданный параметр состояния датчиков, тревожный сигнал)
    35) Имена и фамилии: Lincoln, Lucifer
    36) Чат: Lazy, Looking, Lovely, Loving
    37) NYSE. Liberty Financial Companies, Inc.
    38) Программное обеспечение: Linux
    39) Единицы измерений: Long
    40) СМС: Although
    41) Международная торговля: Like

    Универсальный англо-русский словарь > L

  • 7 l

    1) Общая лексика: "учебная" (обозначение учебного автомобиля), L-образный, имеющий форму буквы L, пятьдесят (L; в системе римских цифр)
    2) Компьютерная техника: Leftmost, Lookup
    3) Биология: leucine
    4) Медицина: leukocytes
    5) Разговорное выражение: элька (-size = размер одежды)
    6) Американизм: крыло дома, надземная железная дорога (на эстакаде), пристройка, флигель
    7) Спорт: Last, League, Lightweight, левый
    8) Военный термин: Lancers, Lucky, landplane, latitude, launch, launcher, leaflet, leave, lethal, letter, level, lieutenant, lift, link, list, listening, live, locator, logistics, longitude, люизит (ОВ общеядовитого и кожно-нарывного действия), оснащённый прожектором, посадка разрешена, самолёт для полётов в условиях холодного климата, холодный патрон, число дней до запуска (ракеты), запускаемый из шахты (о ракете), lewisite
    10) Сельское хозяйство: litter
    11) Страхование: Timber load line
    12) Автомобильный термин: liters
    13) Грубое выражение: Loser, Losers
    14) Дипломатический термин: пятьдесят (в системе римских цифр)
    15) Телевидение: LUM, loading
    16) Сокращение: CXR "L" Carrier Coaxial System ( e.g., Transcontinental Cable) - also called LCXR, Labour, Latin, Lewisite (Chemical warfare blister agent), Liberal, Liberalism, Lima (phonetic alphabet), London, Luxembourg, Time zone 157.5 E - 172.5 E (GMT -11), lady, lake, lord, libra (pound)
    17) Университет: Late, Lecture, Lecturer, Lit
    18) Физиология: Life, Lumbar
    19) Электроника: Luminance
    20) Вычислительная техника: label, light, longitudinal, закон, правило, принцип
    23) Картография: little, loch, lough
    24) Банковское дело: денежный агрегат эл (самое широкое понятие денежной массы), зарегистрированный на фондовой бирже (listed), минимальная цена (lowest price), наименьший курс ценных бумаг (lowest price), пригодный для биржевых операций
    25) Деловая лексика: Labor
    26) Бурение: известь (lime)
    27) Образование: Learn, Learning
    28) Инвестиции: listed, lowest price, lumpsum
    29) Полимеры: lithium
    31) Авиационная медицина: liveware
    32) Расширение файла: Lex language source code file, Lisp language source code file, L-System fractal (Fractint), Linker directive file (WATCOM wlink)
    34) Электротехника: нижняя технологическая граница (заданный параметр состояния датчиков, тревожный сигнал)
    35) Имена и фамилии: Lincoln, Lucifer
    36) Чат: Lazy, Looking, Lovely, Loving
    37) NYSE. Liberty Financial Companies, Inc.
    38) Программное обеспечение: Linux
    39) Единицы измерений: Long
    40) СМС: Although
    41) Международная торговля: Like

    Универсальный англо-русский словарь > l

  • 8 Lever, William Hesketh

    [br]
    b. 19 September 1851 Bolton, Lancashire, England
    d. 7 May 1925 Hampstead, London, England
    [br]
    English manufacturer of soap.
    [br]
    William Hesketh Lever was the son of the retail grocer James Lever, who built up the large wholesale firm of Lever \& Co. in the north-west of England. William entered the firm at the age of 19 as a commercial traveller, and in the course of his work studied the techniques of manufacture and the quality of commercial soaps available at the time. He decided that he would concentrate on the production of a soap that was not evil-smelling, would lather easily and be attractively packaged. In 1884 he produced Sunlight Soap, which became the trade mark for Lever \& Co. He had each tablet wrapped, partly to protect the soap from oxygenization and thus prevent it from becoming rancid, and partly to display his brand name as a form of advertising. In 1885 he raised a large capital sum, purchased the Soap Factory in Warrington of Winser \& Co., and began manufacture. His product contained oils from copra, palm and cotton blended with tallow and resin, and its quality was carefully monitored during production. In a short time it was in great demand and began to replace the previously available alternatives of home-made soap and poor-quality, unpleasant-smelling bars.
    It soon became necessary to expand the firm's premises, and in 1887 Lever purchased fifty-six acres of land upon which he set up a new centre of manufacture. This was in the Wirral in Cheshire, near the banks of the River Mersey. Production at the new factory, which was called Port Sunlight, began in January 1889. Lever introduced a number of technical improvements in the production process, including the heating systems and the recovery of glycerine (which could later be sold) from the boiling process.
    Like Sir Titus Salt of Saltaire before him, Lever believed it to be in the interest of the firm to house his workers in a high standard of building and comfort close to the factory.
    By the early twentieth century he had created Port Sunlight Village, one of the earliest and certainly the most impressive housing estates, for his employees. Architecturally the estate is highly successful, being built from a variety of natural materials and vernacular styles by a number of distinguished architects, so preventing an overall architectural monotony. The comprehensive estate comprises, in addition to the factory and houses, a church, an art gallery, schools, a cottage hospital, library, bank, fire station, post office and shops, as well as an inn and working men's institute, both of which were later additions. In 1894 Lever \& Co. went public and soon was amalgamated with other soap firms. It was at its most successful high point by 1910.
    [br]
    Principal Honours and Distinctions
    First Viscount Leverhulme of the Western Isles.
    Further Reading
    1985, Dictionary of Business Biography. Butterworth.
    Ian Campbell Bradley, 1987, Enlightened Entrepreneurs, London: Weidenfeld \& Nicolson.
    DY

    Biographical history of technology > Lever, William Hesketh

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