Temperature becomes a quantity definable either in terms of macroscopic thermodynamic quantities, such as heat and work, or, with equal validity and identical results, in terms of a quantity, which characterized the energy distribution among the particles in a system. With this understanding of the concept of temperature, it is possible to explain how heat (thermal energy) flows from one body to another. [Pg.3]

Expanded uncertainty A quantity defining an interval about the result of a measurement that may be expected to encompass a large fraction of the distribution of values that could reasonably be attributed to the measurand. [Pg.278]

This, and similar quantities defined for more than two sites, will be studied extensively in the following chapters. [Pg.25]

Show that the excess quantities defined in Eq. (16.7) are independent of the thickness chosen for the interface as long as the interface incorporates all of the regions where the concentrations are different from the bulk. [Pg.226]

The calculation of partial molar quantities, defined [as in Equation (9.12)] as [Pg.407]

Strain is a dimensionless quantity, defined as increase in length of the specimen per unit original length. It represents the response of the material to the stress applied to it. [Pg.96]

For the formulation of a general solution, the dimensionless quantities defined by Eqs. (21)-(25) are used, but the dimensionless rate constant is defined by Eq. (33) rather than Eq. (26). [Pg.307]

The chemical potential is a partial molar quantity defined by the last term in equation 4 [Pg.233]

Quantity with a probability of confirmation considerably less than 50 per cent minus the quantity defined as expectation. [Pg.12]

The mass density of a substance is an intensive quantity defined by [Pg.8]

Year Various Dimensionless (PSR) d Profit-sales ratio defined by Eq. (9-235) Quantity defining tbe scale of operation Dimensionless Various [Pg.801]

Paper IV presents the first experimental series with the new measurement method. Results are given for all the four sought quantities defined in Paper II. The conversion concept of the conversion system is the same as in Paper El, see Figure 16. [Pg.35]

The combination of the thermodynamic parameters —0/T) occurs in the defined quantity J (see Eq. 55), which occupies the major role in the expression, Eq. (75), for A 2. A logical first objective is the evaluation of /, therefore. But according to Eq. (75), A 2 depends also on the function hence it is necessary to evaluate This latter quantity, defined by Eq. (56), depends on the parameter jS characterizing the spatial distribution of segments. Introducing Eq. (52) for jS into Eq. (56). [Pg.536]

To measure such time scales, the free-volume autocorrelation function CV can be calculated.75 This quantity, defined as, [Pg.143]

The relationship between spot sales price and spot sales quantity can be modeled as a linear function within the feasible minimum and maximum quantities defined by the management of the company. Of course, the price-quantity relationship could also be modeled using a non-linear function depending on the actual price-quantity-bids the company receives. In this work the linear function showed a sufficient statistical fit based on the real data provided by the industry case. [Pg.157]

As in Sections 4.2 and 4.5, we need only the X. —> 0 limit of this correlation function, which is the quantity defined in Eq. (4.7.22), to which we refer as the correlation function between the two events. For these particular events we also say that whenever there exists correlation [i.e., g(l, 1) 1)], the two ligands cooperate hence there exists cooperativity between the ligands, or simply, the system is cooperative. [Pg.105]

This is a very interesting result. The time course is identical in form with that given by Eq. (3-78) for Scheme IX, but in Eq. (3-87) the rate parameters a and P are not elementary rate constants instead they are composite quantities defined by Eqs. (3-85) and (3-86). [Pg.88]

Some fundamental definitions and properties of distribution functions are summarized briefly in this section. The most important statistical weights, averages, and moments frequently encountered in polymer analysis are introduced [7], Most quantities defined here will feature later again in the discussion of the individual analytical techniques. [Pg.208]

By way of illustration consider a binary composite system characterized by extensive parameters Xk and Xf in the two subsystems and the closure condition Xk + X k — Xk. The equilibrium values of Xk and X k are determined by the vanishing of quantities defined in the sense of equation (3) as [Pg.422]

Conservation of Momentum. If the mass of a body or system of bodies remains constant, then Newton s second law can be interpreted as a balance between force and the time rate of change of momentum, momentum being a vector quantity defined as the product of the velocity of a body and its mass. [Pg.164]

The defect interaction energies appearing in Eq. (33) are, for the purposes of the present article, assumed to be known either from theory or experiment. Certain other quantities appear in the final expressions for the thermodynamic functions and must therefore be known. The quantity defined by the relation [Pg.16]

The possibility to have metastable hadronic stars, together with the feasible existence of two distinct families of compact stars, demands an extension of the concept of maximum mass of a neutron star with respect to the classical one introduced by Oppenheimer Volkoff (1939). Since metastable HS with a short mean-life time are very unlikely to be observed, the extended concept of maximum mass must be introduced in view of the comparison with the values of the mass of compact stars deduced from direct astrophysical observation. Having in mind this operational definition, we call limiting mass of a compact star, and denote it as Mum, the physical quantity defined in the following way [Pg.367]

They do not have any physical meaning. It is impossible to establish an accurate and quantified relationship between their level and physical quantities defining risk. Perfect knowledge of each definition is the only way to enable a relationship between code and property. [Pg.87]

© 2019 chempedia.info