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Memory and

In principle any PC can be used, provided it has the necessary computing power and memory installed and can be equipped with the processor board, which requires an empty PCI slot in the PC. For using the system in the field, it is recommended to use an industrial PC, designed to be used in a harsh environment. [Pg.785]

Ste]skal E O and Memory J D 1994 High Resoiution NMR in the Soiid State (Oxford Oxford University Press)... [Pg.1498]

The value of detennines how much computer time and memory is needed to solve the -dimensional Sj HjjCj= E Cj secular problem in the Cl and MCSCF metiiods. Solution of tliese matrix eigenvalue equations requires computer time that scales as (if few eigenvalues are computed) to A, (if most eigenvalues are... [Pg.2186]

The various basis sets used in a calculation of the H and S integrals for a system are attempts to obtain a basis set that is as close as possible to a complete set but to stay within practical limits set by the speed and memory of contemporary computers. One immediately notices that the enterprise is directly dependent on the capabilities of available computers, which have become more powerful over the past several decades. The size and complexity of basis sets in common use have increased accordingly. Whatever basis set we choose, however, we are attempting to strike a balance. If the basis set is too small, it is inaeeurate if it is too large, it exceeds the capabilities of our computer. Whether our basis set is large or small, if we attempt to calculate all the H and S integrals in the secular matrix without any infusion of empirical information, the procedure is described as ab initio. [Pg.242]

Each of these tools has advantages and limitations. Ab initio methods involve intensive computation and therefore tend to be limited, for practical reasons of computer time, to smaller atoms, molecules, radicals, and ions. Their CPU time needs usually vary with basis set size (M) as at least M correlated methods require time proportional to at least M because they involve transformation of the atomic-orbital-based two-electron integrals to the molecular orbital basis. As computers continue to advance in power and memory size, and as theoretical methods and algorithms continue to improve, ab initio techniques will be applied to larger and more complex species. When dealing with systems in which qualitatively new electronic environments and/or new bonding types arise, or excited electronic states that are unusual, ab initio methods are essential. Semi-empirical or empirical methods would be of little use on systems whose electronic properties have not been included in the data base used to construct the parameters of such models. [Pg.519]

The program can use conventional, in-core, or direct integral evaluation. The default ah initio algorithm checks the disk space and memory available. It then uses an in-core method if sufficient memory is available. If memory is not available for in core evaluation, the program uses a conventional method if... [Pg.329]

Because of the very small bearing clearances in gas bearings, dust particles, moisture, and wear debris (from starting and stopping) should be kept to a minimum. Gas bearings have been used in precision spindles, gyroscopes, motor and turbine-driven circulators, compressors, fans, Brayton cycle turbomachinery, environmental simulation tables, and memory dmms. [Pg.252]

Vinpocetine (2), another dmg initially categorized as a cerebral vasodilator, is a member of the vinca alkaloid family of agents (7). However, interest in this compound as a potential dmg for learning and memory deficits comes from its abiUty to act as a neuronal protectant. This compound was evaluated in 15 patients with AD over a one-year period and was ineffective in improving cognitive deficits or slowing the rate of decline (8). However, in studies of patients with chronic vascular senile cerebral dysfunction (9) and organic psycho syndrome (10), vinpocetine showed beneficial results. [Pg.93]

AVP is excitatory in the ventral hippocampus, either directly or by potentiation of glutamatergic responses. An inhibitory effect has been observed in AVP may be involved in the formation of long-term potentiation and thus learning and memory. However, AVP is proconvulsive, may augment the formation of dmg tolerance and dependence, and affects cardiovascular regulatory processes. [Pg.580]

The combination of meclofenoxate [51-68-3] and citicoline [987-78-0] h.2is been reported to enhance learning and memory retention in aged rats (22). [Pg.429]

As CPU performance increases, the gap between CPU and disk and memory speeds will continue to widen. As limits of technology are approached, other techniques will be needed to gain performance advantages more functional units, multiple processors, and so on. These approaches are discussed in the sections on minisupercomputers and parallel processing. [Pg.93]

Memory requirements for one-dimensional eontinuum dynamies ealeulations are minimal by the standards of eurrent hardware. Thus, sufTieiently fine zoning ean be used in sueh ealeulations to eapture details of material response and provide a rigorous test of fidelity for the numerieal models employed. The ability to use fine zoning also ensures that any diserepaneies between ealeulation and experiment ean be attributed, with eonsiderable eonfidenee, to Inadequaeies in the material response model. In faet, most desktop workstations have suffieient eomputing horsepower and memory to meet the eom-putating needs in one-dimensional material response studies. [Pg.342]

Likewise, efficient interface reconstruction algorithms and mixed cell thermodynamics routines have been developed to make three-dimensional Eulerian calculations much more affordable. In general, however, computer speed and memory limitations still prevent the analyst from doing routine three-dimensional calculations with the resolution required to be assured of numerically converged solutions. As an example. Fig. 9.29 shows the setup for a test involving the oblique impact of a copper ball on a hardened steel target... [Pg.347]

When local or central computers are used for controlling the operation of HVAC installations in buildings, they are described as building automation systems. In the control station, operators communicate with control installations, which are connected through the computer plant. Computers for individual use are called personal computers (PCs). The use of PCs for technical and economic tasks in the past few years has increased considerably. The business overflows with PCs, which get greater data power and memory at lower prices. [Pg.782]

The content and organization of the displayed information are of critical importance in inferring the state of the process and subsequently evaluating the effects of alternative courses of action. The following factors will determine the demands of the control panel on the attentional and memory resources of the workers. For detailed data on the design of the control panel, the reader is referred to standard ergonomics textbooks (e.g., Salvendy, 1987). [Pg.120]

As process plants become more complex, it becomes apparent that it is not possible to rely exclusively on the process worker s skills and memory required to perform the task. Job aids and procedures are devices which aim to reduce the need for human retention of procedures and references as well as the amount of decision making required. Job aids assume a variety of formats including flowcharts, checklists, decision tables, etc., while procedures refer to other systems of documentation such as standard operating instmctions and emergency procedures. [Pg.122]

Traditional control systems are in general based on mathematical models that describe the control system using one or more differential equations that define the system response to its inputs. In many cases, the mathematical model of the control process may not exist or may be too expensive in terms of computer processing power and memory. In these cases a system based on empirical rules may be more effective. In many cases, fuzzy control can be used to improve existing controller systems by adding an extra layer of intelligence to the current control method. [Pg.301]


See other pages where Memory and is mentioned: [Pg.515]    [Pg.314]    [Pg.279]    [Pg.246]    [Pg.82]    [Pg.101]    [Pg.105]    [Pg.192]    [Pg.203]    [Pg.150]    [Pg.92]    [Pg.95]    [Pg.95]    [Pg.96]    [Pg.96]    [Pg.96]    [Pg.100]    [Pg.100]    [Pg.518]    [Pg.553]    [Pg.429]    [Pg.239]    [Pg.334]    [Pg.265]    [Pg.333]    [Pg.96]    [Pg.128]    [Pg.107]    [Pg.3]    [Pg.140]    [Pg.110]    [Pg.134]    [Pg.59]   
See also in sourсe #XX -- [ Pg.101 , Pg.127 , Pg.240 , Pg.261 ]

See also in sourсe #XX -- [ Pg.101 , Pg.127 , Pg.240 , Pg.261 ]

See also in sourсe #XX -- [ Pg.45 , Pg.52 , Pg.80 , Pg.81 , Pg.82 , Pg.83 , Pg.85 , Pg.89 , Pg.90 , Pg.91 , Pg.92 , Pg.97 , Pg.103 , Pg.105 , Pg.116 , Pg.121 , Pg.125 , Pg.158 , Pg.164 , Pg.196 , Pg.235 , Pg.236 ]




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Accumbens shell dopamine and the utilization of spatial memory for goal-oriented behavior

Aging memory and

All-optical modulator and memory devices

Alpha 21364 floorplan and memory bus placement

And associative memory

Attention and memory

Behavior learning and memory

Bistability and Memory

Brain and memory

Concentration and memory

Core memories and bubbles

Effect of Saffron on Learning and Memory

Effects on Learning and Memory

Hippocampus and Spatial Memory

Information Processing and Memory

Language and memory

Learning and memory

Learning and memory impairment

Learning and memory processes

Learning and memory test

Memory B and T cells

Memory Effects and Physical Aging

Memory Modules and Vertical-Stack Packaging

Memory and Vaccination

Memory and depression

Memory and perception

Mpemba Paradox H-Bond Memory and Skin Supersolidity

Multitasking, Word Retrieval, Memory, and Concentration

Olfaction and memory

Olfaction, where Nutrition, Memory and Immunity Intersect

Optical Memories and Switches

Phosphorus Memory by Soils and Sediments

Role of the Hippocampus in Learning and Memory

Shape memory alloys and polymers

Shape memory coating and finishing techniques for smart textiles

Shape memory polymers properties, synthesis and applications

Signaling in Neuronal Plasticity and Memory Formation

Spatial Memory Deficit and the Apoptotic Neuronal Death in Ischemic Rats

Spatial learning and memory

Spontaneous, asynchronous, and slow activity of memory sets

Superelasticity, Pseudoelasticity, and the Shape Memory Effect

Switches and Memory Components

Switching and Memory in Molecular Bundles

The Microstructure and Martensitic Transformation in a (Potentially) Shape-Memory Ni-AI-Ti-B Alloy

The neural representation of elements and memory sets

Viscoelasticity and memory

Watt Memorial Engineering and Navigation

Watt Memorial Engineering and Navigation School

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