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Winning

Successful companies use military strategy to win. Barrie James shows how - and draws some vital lessons for today s manager. [Pg.443]

The Winning Streak Walter Goldsmith and David Clutterbuck... [Pg.443]

A major advance in force measurement was the development by Tabor, Win-terton and Israelachvili of a surface force apparatus (SFA) involving crossed cylinders coated with molecularly smooth cleaved mica sheets [11, 28]. A current version of an apparatus is shown in Fig. VI-4 from Ref. 29. The separation between surfaces is measured interferometrically to a precision of 0.1 nm the surfaces are driven together with piezoelectric transducers. The combination of a stiff double-cantilever spring with one of a number of measuring leaf springs provides force resolution down to 10 dyn (10 N). Since its development, several groups have used the SFA to measure the retarded and unretarded dispersion forces, electrostatic repulsions in a variety of electrolytes, structural and solvation forces (see below), and numerous studies of polymeric and biological systems. [Pg.236]

There have been some studies of the equilibrium shape of two droplets pressed against each other (see Ref. 59) and of the rate of film Winning [60, 61], but these are based on hydrodynamic equations and do not take into account film-film barriers to final rupture. It is at this point, surely, that the chemistry of emulsion stabilization plays an important role. [Pg.513]

Genera] operating WIN WIN WIN, Mac WIN WIN, Mac, WIN WIN, SGI. WIN. Unix lava applet lava soft- lava applet lava applet Si s... [Pg.148]

General operating WIN WIN WIN WIN stand- Unix Java-soft- olua-in WIN WIN ... [Pg.151]

For example, the objects may be chemical compounds. The individual components of a data vector are called features and may, for example, be molecular descriptors (see Chapter 8) specifying the chemical structure of an object. For statistical data analysis, these objects and features are represented by a matrix X which has a row for each object and a column for each feature. In addition, each object win have one or more properties that are to be investigated, e.g., a biological activity of the structure or a class membership. This property or properties are merged into a matrix Y Thus, the data matrix X contains the independent variables whereas the matrix Ycontains the dependent ones. Figure 9-3 shows a typical multivariate data matrix. [Pg.443]

The neuron for which this distance gives the minimum is called the winning neuron or central neuron c (see Eq. (5)). [Pg.457]

The weights of the winning neuron are funher adapted to the input data. The neurons within a certain distance surrounding the winning neuron are also adapted Their weight adaptation is performed such that the closer a neuron is to the winning neuron the more its weights will be adapted. [Pg.457]

During training the input layer is adapted as in a regular Kohonen network, i.c., the winning neuron is determined only on the basis of the input values. But in contra.st to the training of a Kohonen network, the output layer is also adapted, which gives an opportunity to use the network for prediction. [Pg.460]

Figure 10.2-9. Application of a counterpropagation neural network as a look-up table for IR spectra sinnulation, The winning neuron which contains the RDF code in the upper layer of the network points to the simulated IR spectrum in the lower layer. Figure 10.2-9. Application of a counterpropagation neural network as a look-up table for IR spectra sinnulation, The winning neuron which contains the RDF code in the upper layer of the network points to the simulated IR spectrum in the lower layer.
The trained counterpvopagation network is then able to predict the spectrum for a new structure when operating as a look-up table (see Figure 10.2-9) the encoded query or th.c input structure is input into the trained network and the winning neuron is determined by considering just the upper part of the network. The neuron points to the corresponding neuron in the lower part of the network, which then provides the simulated IR spectrum. [Pg.532]

The right-hand side of the form gives the network map in the upper part and to its right the simulated IR spectrum is plotted, which can be downloaded as a JCAMP File (cf. Section 2,4.5, Section 4,2,4.2). By clicking on tbe neurons in the map one obtains the RDF code and the spectrum of the corresponding structure in the lower part of the form and compared with those of the winning neuron,... [Pg.532]

Winning the Nobel Prize inevitably brings with it, besides a brief period of wider publicity (which in America evaporates particularly fast), a steady stream of invitations, varied honors and recognitions, as well as more general public involvement. Professors and scientists in American life are usually not exactly at the top of the social ladder, nor are they used to much recognition. Personally, I rather like this, because it helps not to attach overgrown significance to one s importance, keeps one humanized, and, most important, allows one to stay centered without much distraction from one s work. It was, therefore,... [Pg.185]

Price category student, individual, production, departmental Platforms PC (Windows), SGI, HP-UX, Win CE Contact information Hypercube, Inc. [Pg.329]

The problem really isn t the concentration of the HBr, but rather is the result of the HBr being in water. As long as there is a significant amount of water present in the reaction mix with safrole, that water is going to compete with bromine for that juicy beta carbon on safrole. And it s gonna win, too. The answer is to use non-aqueous HBr solutions. [Pg.144]

The amount of sample required is quite small as little as 10 mole is typical So many peptides and proteins have been sequenced now that it is impossible to give an accurate count What was Nobel Prize winning work m 1958 is routine today Nor has the story ended Sequencing of nucleic acids has advanced so dramatically that it is possible to clone the gene that codes for a particular protein sequence its DNA and deduce the structure of the protein from the nucleotide sequence of the DNA We 11 have more to say about DNA sequencing m the next chapter... [Pg.1135]


See other pages where Winning is mentioned: [Pg.362]    [Pg.465]    [Pg.909]    [Pg.2703]    [Pg.11]    [Pg.358]    [Pg.23]    [Pg.139]    [Pg.193]    [Pg.426]    [Pg.427]    [Pg.460]    [Pg.460]    [Pg.323]    [Pg.327]    [Pg.339]    [Pg.293]    [Pg.498]    [Pg.503]    [Pg.3]    [Pg.41]    [Pg.173]    [Pg.173]    [Pg.75]    [Pg.237]    [Pg.80]    [Pg.100]    [Pg.151]    [Pg.1273]    [Pg.111]    [Pg.1070]    [Pg.1070]   
See also in sourсe #XX -- [ Pg.142 ]

See also in sourсe #XX -- [ Pg.389 ]




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Additional Display Options with 2D WIN-NMR

Amrinone WIN

Analysis, Display and Output Tools in ID WIN-NMR

Anode electro winning

Award Winning Paper

Buttons with 2D WIN-NMR

Buttons with ID WIN-NMR (Spectrum)

Doped Up and Ready to Win. Maybe

Electro winning

Metal winning

One Hundred Years of Success the Winning Ingredients

Polymers Win in World War II

Productivity, winning work

Small wins concept

Synthesis of MSA-Induced WINs

Update the Winning Node

WIN compounds

WIN-NMR format

Winful

Winning Ways

Winning cell

Winning neuron

Winning node

Winning of Diamond

Winning processing element

Winning sites method

Winning strategies

Winning supplier

Winning the Race

Winning the lottery

Winning work

Wireless Integrated Network Sensors (WINS) The Web Gets Physical

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