Rational analysis, meaning

A major accomplishment of this period was the development of the Unipol process for the production of linear, low-density polyethylene, a new process for an established commodity polymer that enabled exquisite manipulation and control over the materials properties of the product [2], This achievement was made through the efforts of scientists to develop new catalysts and of chemical engineers armed with new means of rational analysis and design of polymerization processes. 

QSRR analysis of HPLC data determined on an immobilized human serum albumin (HSA) column helped to propose the topography of two binding sites of different affinity to benzodiazepine enantiomers 1143.163). Also, the mechanism of interaction of phenothiazine neuroleptics with melanin was rationalized by means of QSRR analysis of HPLC retention data [132,164]. Another QSRR study concerned the interactions of drugs with immobilized keratin and collagen [ 165). 

In order to determine the minerals in the clay, one has to resort to X-ray analysis, thermal analysis, and microscope examination. A number of samples of one type of clay, e.g. ball clay, having been examined by these means, it is fair to assume that other ball clays contain the same minerals and to calculate the rational analysis on this assumption. In certain instances, the percentage of one or more minerals can be estimated direct from the X-ray and thermal analyses, but it is doubtful whether the results are more accurate than those of the rational analysis . 

Mean fecal calcium loss at high levels of calcium intake was 75.0 mg and at low calcium intake was 16.0 mg. Mean calcium and phosphorus levels are illustrated in Figure 6. Orthogonal contrast analysis indicated that the level of calcium in the ration was the only significant source of difference in the data. 

Methods of analysis are needed to determine total phenolic content and the relative content of phenolic fractions by means of their different characteristics. Many analytical methods used for phenols have been empirical and not easily reproduced or rationalized (I). Procedures that are based on sound chemical principles and that are sufficiently verified deserve wider application. We are concerned here with recent work on such analyses for phenols in wines. Application cf these results may help solve a major problem in phenol research—the many different, too empirical, unrelatable values (ml KMn04, vanillin-to-leucoantho-cyanin ratio, etc.) obtained in different ways by different researchers. Uniform use of verified methods and uniform standards and methods of expressing results will aid in developing an understanding in this field. 

An essay with a score of 6 reveals a rational and coherent analysis and critique of the argument. The writing is clear and expertly communicates meaning. 

Finally, this effort is not meant to replace those technical studies which have dealt with the analysis and prioritization of known hazardous waste sites where a great deal of specific information is available on site history, contents, and hydrogeology. The present study should reduce the need for expensive drilling and testing programs and provide a means for their rational. implementation. 

If the experimental runs are completely randomized, then randomization theory (see Hinkelmann and Kempthorne, 1994) tells us that least squares gives us unbiased estimators of any pre-chosen set of n — 1 linearly independent contrasts among the n combinations of factor levels (treatments). In most factorial experiments the pre-chosen treatment contrasts would be main effects and, perhaps, interactions. However, in supersaturated designs there is no rational basis for choosing a set of n — 1 contrasts before the analysis. Any model selection method will lead to selection biases, perhaps large biases, in the estimators of effects. If a2 is assumed known, then we can test the null hypothesis that all n treatment populations have equal means. This would not be of great interest, because even if this null hypothesis were true it would not imply that all main effects are zero, only that a particular set of n - 1 linear combinations of treatment means are zero. Of course, in practice, a2 is not known. 

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