Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Book value definition

Boiling liquids, heat-transfer coefficients for, 597 Bonds, interest rate on, 248-249 Book value definition of 277 in replacement analysis, 332 Box-Wilson design, 766, 769 Break-even chart, 155-156... [Pg.898]

Investments, depreciating capital investments accelerated depreciation, 285 book value, 281 definition, 279... [Pg.986]

The syntax for implementing this in an actual expert system is, of course, quite diverse and it is beyond the scope of this book to describe this in more detail. As an example the above-mentioned mle is translated in a realistic syntax. This starts by the definition of the attributes and their possible values. In this examples two attributes must be defined ... [Pg.631]

In this chapter, the definitions used by Perrin in his book on pA a prediction (which also includes a very convenient compilation of o values) will be used. One must be alert to the importance of the number of hydrogens directly attached to the carbonyl carbon several groups have pointed out that aldehydes and ketones give separate but parallel lines, with formaldehyde displaced by the same amount again. What this means is that given one equilibrium constant for an aldehyde (or ketone) one may estimate the equilibrium constant for other aldehydes (or ketones) from this value and p for the addition using a value from experiment, if available, or estimated if necessary. This assumes that there is no large difference in steric effects between the reference compound and the unknown of interest. [Pg.12]

It should be noted that the above definition of Xj is different from the one often found in linear regression books. There X is defined for the simple or multiple linear regression model and it contains all the measurements. In our case, index i explicitly denotes the i"1 measurement and we do not group our measurements. Matrix X, represents the values of the independent variables from the i,h experiment. [Pg.25]

Advanced mathematical and statistical techniques used in analytical chemistry are often referred to under the umbrella term of chemometrics. This is a loose definition, and chemometrics are not readily distinguished from the more rudimentary techniques discussed in the earlier parts of this chapter, except in terms of sophistication. The techniques are applied to the development and assessment of analytical methods as well as to the assessment and interpretation of results. Once the province of the mathematician, the computational powers of the personal computer now make such techniques routinely accessible to analysts. Hence, although it would be inappropriate to consider the detail of the methods in a book at this level, it is nevertheless important to introduce some of the salient features to give an indication of their value. Two important applications in analytical chemistry are in method optimization and pattern recognition of results. [Pg.21]

Strictly, this definition only applies to substances in equilibrium at the standard state. For the high temperatures achieved in combustion, cp should always be regarded as a function of temperature. Some values are shown in Table 2.1. Values for the molar heats of formation for several substances are listed in Table 2.2. More extensive listings have been compiled and are available in reference books. The student should recognize that the values have been determined from measurements and from the application of Equation (2.20). Some examples should show the utility and interpretation of the heat of formation. [Pg.31]

At this point we again stress the sequence of definitions leading to Eq. (4.2.16). First, the correlation function is defined as a measure of the extent of the dependence between the two events in Eq. (4.2.12) [or, equivalently, in Eq. (4.2.13)]. The probabilities used in the definition of g a, b) were read from the GPF of the system, e.g., (4.2.1). This side of g a, b) allows us to investigate the molecular content of the correlation function, which is the central issue of this book. The other side of g a, b) follows from the recognition that the limiting value of g(a, b), denoted by g a, b), connects the binding constants ah and kg A. This side of g a, b) allows us to extract information on the cooperativity of the system from the experimental data. In other words, these relationships may be used to calculate the correlation fimction from experimental data, on the one hand, and to interpret these correlation functions in terms of molecular properties, on the other. [Pg.71]

These two definitions reflect two sides of the same situation. In this book, the term critical effect(s) will be used for the hazard/effect considered as being the essential one(s) for the purpose of the risk characterization, e.g., for the establishment of a health-based guidance value, permissible exposure level, or Reference Dose. It should be noted that the critical effect could be a local as well as a systemic effect. It should also be recognized that the critical effect for the establishment of a tolerable exposure level is not necessarily the most severe effect of the chemical substance. For example, although a substance may cause a serious effect such as liver necrosis, the critical effect for the establishment of, e.g., an occupational exposure limit could be a less serious effect such as respiratory tract irritation, because the irritation occurs at a lower exposure level. [Pg.95]

There are many empirical and semi-empirical pair potentials which describe quite satisfactorily the properties of liquids and solids, see chapter 5 in book The parameters in these potentials are not real parameters of a true two-body interaction, their values depend upon properties of a medium. So these effective two-body potentials include nonadditive interactions through their parameters. The latter can not be directly related to the definite physical... [Pg.139]

From the definition of a particle used in this book, it follows that the motion of the surrounding continuous phase is inherently three-dimensional. An important class of particle flows possesses axial symmetry. For axisymmetric flows of incompressible fluids, we define a stream function, ij/, called Stokes s stream function. The value of Imj/ at any point is the volumetric flow rate of fluid crossing any continuous surface whose outer boundary is a circle centered on the axis of symmetry and passing through the point in question. Clearly ij/ = 0 on the axis of symmetry. Stream surfaces are surfaces of constant ij/ and are parallel to the velocity vector, u, at every point. The intersection of a stream surface with a plane containing the axis of symmetry may be referred to as a streamline. The velocity components, and Uq, are related to ij/ in spherical-polar coordinates by... [Pg.6]

Many half-reactions of interest to biochemists involve protons. As in the definition of AG °, biochemists define the standard state for oxidation-reduction reactions as pH 7 and express reduction potential as E °, the standard reduction potential at pH 7. The standard reduction potentials given in Table 13-7 and used throughout this book are values for E ° and are therefore valid only for systems at neutral pH Each value represents the potential difference when the conjugate redox pair, at 1 m concentrations and pH 7, is connected with the standard (pH 0) hydrogen electrode. Notice in Table 13-7 that when the conjugate pair 2ET/H2 at pH 7 is connected with the standard hydrogen electrode (pH 0), electrons tend to flow from the pH 7 cell to the standard (pH 0) cell the measured E ° for the 2ET/H2 pair is -0.414 V... [Pg.510]

Students in introductory biochemistry laboratory may use methodology books more than any other type, although much of the data is now on the Web. While doing biochemical experiments, you may need physical, chemical, and biochemical information such as definition of terms, R values, molecular weights, and physical constants. This information is easily found in the many handbooks and collections of biochemical data. Some useful handbooks with a brief description of contents are listed on the next page. [Pg.217]

Professor Tadakoro s recent book(l ) illustrates the considerable advantages and benefits to be gained by coupling infra-red spectroscopy with fibre x-ray diffraction. The increasing availability of Fourier transform infra-red spectrometers allows the same thick samples, suitable for x-ray work, to be used in the spectrometer thus ensuring that both sets of information emanate from the same structure. The delightful selected area electron diffraction patterns obtained from polysaccharides by Dr. Chanzy (2), which exhibit such remarkable resolution and definition, indicate the importance and value of the modern application of electron micro-... [Pg.31]

We used p instead of = in Equation 5.37 because the exact numerical value depends on the definition of the uncertainties—you will see different values in different books. If we define At in Figure 5.13 as the full width at half maximum or the root-mean-squared deviation from the mean, the numerical value in Equation 5.37 changes. It also changes a little if the distribution of frequencies is not Gaussian. Equation 5.37 represents the best possible case more generally we write... [Pg.112]

Usually, a mathematical model simulates a process behavior, in what can be termed a forward problem. The inverse problem is, given the experimental measurements of behavior, what is the structure A difficult problem, but an important one for the sciences. The inverse problem may be partitioned into the following stages hypothesis formulation, i.e., model specification, definition of the experiments, identifiability, parameter estimation, experiment, and analysis and model checking. Typically, from measured data, nonparametric indices are evaluated in order to reveal the basic features and mechanisms of the underlying processes. Then, based on this information, several structures are assayed for candidate parametric models. Nevertheless, in this book we look only into various aspects of the forward problem given the structure and the parameter values, how does the system behave ... [Pg.451]

Because standard reference books contain data in diverse units, we include Tables A.1 and A.2 to aid the conversion of values from one set of units to another. Those units having no connection with the SI system are enclosed in parentheses. The following definitions are noted ... [Pg.529]

Before you look more closely at matter, you need to know how much you can depend on measurements. How can you recognize when a measurement is trustworthy How can you tell if it is only an approximation For example, there are five Great Lakes. Are you sure there are five Is there any uncertainty associated with the value five in this case What about the number of millilitres in 1 L, or the number of seconds in 1 min Numbers such as these—numbers that you can count or numbers that are true by definition—are called exact numbers. You are certain that there are five Great Lakes (or nine books on the shelf, or ten students in the classroom) because you can count them. Likewise, you are certain that there are 1000 mL in 1 L, and 60 s in 1 min. These relationships are true by definition. [Pg.15]


See other pages where Book value definition is mentioned: [Pg.35]    [Pg.31]    [Pg.79]    [Pg.182]    [Pg.98]    [Pg.694]    [Pg.7]    [Pg.6]    [Pg.244]    [Pg.345]    [Pg.457]    [Pg.115]    [Pg.459]    [Pg.81]    [Pg.308]    [Pg.12]    [Pg.21]    [Pg.23]    [Pg.57]    [Pg.81]    [Pg.272]    [Pg.49]    [Pg.8]    [Pg.402]    [Pg.34]    [Pg.824]    [Pg.27]    [Pg.113]    [Pg.639]   
See also in sourсe #XX -- [ Pg.277 ]




SEARCH



© 2024 chempedia.info