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Interpreters, working with

Fig. 1. A fault attribute is generated from seismic data. The ant tracking algorithm extracts surfaces from the attribute, and the human interpreter works with them in the structural editing tool. The surfaces are then exported as interpreted surfaces or written to a cube to produce an enhanced fault attribute. Fig. 1. A fault attribute is generated from seismic data. The ant tracking algorithm extracts surfaces from the attribute, and the human interpreter works with them in the structural editing tool. The surfaces are then exported as interpreted surfaces or written to a cube to produce an enhanced fault attribute.
The unit vectors Ci, whose exact definition, meaning and interpretation depend on the particular application at hand, are called basis vectors and form the elements of a basis. They are particularly simple to work with because they are orthogonal. This means that... [Pg.521]

After 1900, genetic research—but not research on nucleic acids—blossomed. Nucleic acids were difficult to work with, hard to purify, and, even though they were present in all cells, did not seem to be very interesting. Early analyses, later shown to be inconect, were interpreted to mean that nucleic acids were polymers consisting of repeats of some sequence of adenine (A), thymine (T), guanine (G), and cytosine (C) in a 1 1 1 1 ratio. Nucleic acids didn t seem to offer a rich enough alphabet from which to build a genetic dictionary. Most workers in the field believed proteins to be better-candidates. [Pg.1165]

Molecular replacement is where the phases of a known structure are used to determine the structure of a protein that may be identical but crystallized in a different space group or may adopt essentially the same structure (e.g., a homologous protein). Essentially, the calculations find the rotation and translation of the molecule that work with the phases to produce an interpretable electron density map. [Pg.282]

Motes occupy the centrai position of this flowchart because the mote is the unit that chemists use in almost all chemical calculations. When you set out to solve a chemical problem, first interpret the question on the atomic/molecular level. The second part of chemical problem solving often involves quantitative calculations, which usually require working with moles. [Pg.100]

Fulcanelli.Le Mystere des cathedrales esoteric interpretation of the hermetic symbols of the Great Work with prefaces by Eugene Canseliet. translated from the French by Mary Sworder introduction by Walter Lang. 2nd ed. Translated by Mary Sworder. 1925 reprint, London Spearman, 1971. 191p. [Pg.179]

Of course, Gd(s) and Gp(s) are the transfer functions, and they are in pole-zero form. Once again( ), we are working with deviation variables. The interpretation is that changes in the inlet temperature and the steam temperature lead to changes in the tank temperature. The effects of the inputs are additive and mediated by the two transfer functions. [Pg.33]

Obviously this is a little difficult to interpret, although with experience you can train yourself to extract all the frequencies by eye... (only kidding ) The FID is a time domain display but what we really need is a frequency domain display (with peaks rather than cosines). To bring about this magic, we make use of the work of Jean Baptiste Fourier (1768-1830) who was able to relate time-domain to frequency-domain data. These days, there are superfast algorithms to do this and it all happens in the background. It is worth knowing a little about this relationship as we will see later when we discuss some of the tricks that can be used to extract more information from the spectrum. [Pg.6]

A disadvantage of tracer methods is the frequent presence of exchange processes which are difficult to account for. This hampered Happel s work with 180 (30) and complicated the interpretation of the work of Conner and Bennett (34), who used pulses of tracers and a qualitative interpretation of their data on CO oxidation over NiO. [Pg.12]

First, we conjecture that each item is a separate marker of the taxon. Now there is a pool of indicators to work with. Second, we choose a random pair of indicators, for example, item 1 ( When I go shopping, I check several times to be sure I have my wallet/ purse with me ) and item 2 ( Before I leave my house, I check whether all windows are closed ), as the output indicators. Third, we sum scores on items 3 to 8, which makes a 7-point scale that ranges from 0 (none of the 6 checking behaviors are endorsed) to 6 (all of the 6 checking behaviors are endorsed) this is the input variable. Fourth, we calculate the covariance between items 1 and 2 in a subsample of individuals who scored 0 on the input variable, next we calculate the covariance for individuals who scored 1 on the input variable, and so forth. Fifth, we choose another pair of output indicators (e.g., items 1 and 3), and combine the other six items together to make a new input variable. This process is repeated 28 times until all possible pairs are drawn (1-2 and 2-1 are not considered different pairs). Next, we take 28 covariances from 0 subsamples and average them we do the same for all seven sets of numbers and plot the average covariances. SSMAXCOV plots look similar to the plots from the MAXCOV section and are interpreted the same way. [Pg.66]

Let us take 1978 as the starting point. Massoth [51] then published an extensive review of what was known about the structure of HDS catalysts. Characterization was essentially based on techniques such as X-ray diffraction, electron microscopy, photoelectron spectroscopy, electron spin resonance and magnetic methods. Massoth was rather unhappy with the state of affairs in 1978. He was struck by the ...diversity and apparent contradictions of results and interpretations... It almost seems as though everyone is working with a different catalyst . [Pg.267]


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