Meister

Bross H, Bohn G, Meister G, Sohubd W and Stdhr H 1970 New version of the modified augmented-piane wave method Phys. Rev. B 2 3098-103... 

Farm Chemicals 1970 Handbook, Meister Publishing Co., Willoughby, Ohio, p. 134. 

The Foundation fora Fantastic Tomorrow, Farm Chemicals Anniversary, 1894—1994, Meister Publishing Co., Willoughby, Ohio, Sept. 1994. Over 60 general articles on topics related to development and use of agrochemicals. 

R. G. Krishna and F. Wold, in A. Meister, Advances in En ymology and Related Areas of Molecular Biology, Vol. 67, John Wiley Sons, Inc., New... 

Urea and ammonium sulfate [7783-20-2] are coated by Chisso Co. under the trade names LP Cote and Meister. AH U.S. consumption of these products is sourced from Japan. Chisso-Asahi products are marketed through very specific distribution channels (Table 5). Coated N—P—K products are marketed primarily to commercial nurseries and greenhouses. Coated urea products are marketed in blends to commercial nurseries, as weU as to professional turf and strawberry growers. 

Meister, D. 1987. Behavioral Analysis and Measurement Methods. John Wiley Sons, New York. 

Submitted by Walter F. Gannon and Herbert O. House. Checked by William E. Parham, Wayland E. Noland, George Meisters, and Allan M. Huffman. 

The theory presented above has been based on the Evans-Tarazona density funetional approaeh. Therefore its generalization to multieomponent systems is not instantaneous. However, a modified Meister-Kroll theory, introdueed by Riekayzen et al. [143,144], does not suffer from the above-mentioned drawbaek and provides an aeeurate deseription of nonuniform simple (nonassoeiating) fluids. 

The prescription proposed in the original Meister-Kroll-Groot [138,139] theory for hard spheres requires the determination of the local density and the averaged density as two independent variational variables by minimizing the grand potential with respect to these variables. The modification introduced by Rickayzen et al. [143,144] arises from another definition of the average density... 

The latter relation is the final equation for the density profile, resulting from the modified Meister-Kroll-Groot theory if applied to associating fluids [145]. 

Fig. 10(a) presents a comparison of computer simulation data with the predictions of both density functional theories presented above [144]. The computations have been carried out for e /k T = 7 and for a bulk fluid density equal to pi, = 0.2098. One can see that the contact profiles, p(z = 0), obtained by different methods are quite similar and approximately equal to 0.5. We realize that the surface effects extend over a wide region, despite the very simple and purely repulsive character of the particle-wall potential. However, the theory of Segura et al. [38,39] underestimates slightly the range of the surface zone. On the other hand, the modified Meister-Kroll-Groot theory [145] leads to a more correct picture. 

In Fig. 10(b) one can see the density profiles calculated for the system with /kgT = 5 and at a high bulk density, p = 0.9038. The relevant computer simulation data can be found in Fig. 5(c) of Ref. 38. It is evident that the theory of Segura et al, shghtly underestimates the multilayer structure of the film. The results of the modified Meister-Kroll-Groot theory [145] are more consistent with the Monte Carlo data (not shown in our... 

FiG. 10 Normalized density profiles p z)/for the associating fluid at a hard wall. The association energy is jk T — 7 and the bulk density is p = 0.2098 (a), e ykgT = 5 and the bulk density equals 0.9038 (b). The solid and dashed lines denote the results of the modified Meister-Kroll theory and the theory of Segura et al., respectively. The Monte Carlo data in (a) are marked as points. (From Ref. 145.)... 

Fig. 10(b)). One of the reasons for the differences between both theories is a different form of a hard sphere part of the free energy functional. Segura et al. have used the expression resulting from the Carnahan-Starhng equation of state, whereas the Meister-Kroll-Groot approach requires the application of the PY compressibility equation of state, which produces higher oscillations. 

From a reliability engineering perspective, error can be defined by analogy with hardware reliability as "The likelihood that the human fails to provide a required system function when called upon to provide that fimction, within a required time period" (Meister, 1966). This definition does not contain any references to why the error occurred, but instead focuses on the consequences of the error for the system (loss or unavailability of a required function). The disadvantage of such a definition is that it fails to consider the wide range of other actions that the human might make, which may have other safety implications for the system, as well as not achieving the required function. 

Meister (1977) classified errors into four major groupings ... 

This form of implanned manual operation is unsatisfactory on a number of counts. The fact that the operator may normally be insulated from the process by the automatic control systems means that he or she will probably not be able to develop the knowledge of process dynamics ("process feel") necessary to control the system manually, particularly in extreme conditions. Also, the fact that manual control was not "designed into" the systems at the outset may mean that the display of process information and the facilities for direct control are inadequate. A number of techniques are available to assist designers in the allocation of function process. Some of these are described in Meister (1985). In a paper entitled "Ironies of Automation" Bainbridge (1987) notes four areas where the changed role of the human in relation to an automated system can lead to potential problems. These will be discussed below. 

Human reliability is the probability that a job or task will be successfully completed by personnel at any required stage in system operation within a required minimum time (if a time requirement exists) (Meister, 1966). 

On the other hand, when workers are seriously under-loaded, they might not be very alert to changing process conditions. Many of the problems of plant automation are common to other situations of task underload. To increase the level of activity in monitoring tasks, additional tasks can be assigned, such as calculating the consumption of fuels, the life of a catalyst, the efficiency of the furnace and so on. Meister (1979) provides a summary of research on team organization. 

Because most research effort in the human reliability domain has focused on the quantification of error probabilities, a large number of techniques exist. However, a relatively small number of these techniques have actually been applied in practical risk assessments, and even fewer have been used in the CPI. For this reason, in this section only three techniques will be described in detail. More extensive reviews are available from other sources (e.g., Kirwan et al., 1988 Kirwan, 1990 Meister, 1984). Following a brief description of each technique, a case study will be provided to illustrate the application of the technique in practice. As emphasized in the early part of this chapter, quantification has to be preceded by a rigorous qualitative analysis in order to ensure that all errors with significant consequences are identified. If the qualitative analysis is incomplete, then quanhfication will be inaccurate. It is also important to be aware of the limitations of the accuracy of the data generally available... 

Meister, D. (1966). Applications of Human Reliability to the Production Process. In W. B. Askren (Ed.) Report No. AMLR-TR-67-88, Symposium on Human Performance in Work. 

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