INDEX expertise

In brief, the PEEP index is a useful HAS to apply in comparative studies of wastewater effluents to assess their ecotoxicity and toxic loading. Some of its advantages include the fact that it considers results from different toxicity tests and endpoints, while integrating all possible antagonistic, additive or synergistic interactions that can occur between toxicants in a complex liquid sample. Furthermore, the use of a single PEEP value becomes very useful for decisionmakers who are then able to take science-based decisions to prioritize corrective actions on industries whose effluents are the most toxic for the aquatic environment. It is also noteworthy to point out that the PEEP index can be applied anywhere with any number or type of tests and endpoints to suit the needs and expertise of laboratories internationally. 

The waste PEEP index formula can be employed with any appropriate number and type of tests depending on laboratory expertise and means (any bioassay can be replaced by another or added to the proposed list). In theory, waste PEEP index values can vary from 0 to infinity. In practice, it has been shown to produce values ranging from 0 to 10, thereby simulating a readily-understandable "waste scale" indicative of ecotoxic impact. 

Apart from these indexes, the present volume contains four chapters spanning a wide range of heterocyclic chemistry. 1,5-Diazocines by Perlmutter, continues his coverage of important eight-membered heterocycles (cf. Azocines in Volume 31, and 1,4-Diazocines in Volume 45). Charushin, Alexeev, and Chupahkin from the Soviet Union, and Van der Plas from Holland cover reactions of 1,2,4-triazines with nucleophiles, a subject to which they bring much expertise. 

The number, training, and expertise of the persons executing and reading the index tests and the reference standard. ... 

I also want to express my thanks and appreciation to Paula Kennedy for commissioning this book and Sacha Lake for her help and support. My sincere thanks also to Monica Kendall for her priceless support and expertise in the final editing process. Finally I must thank Sally Ashworth for her expertise and commitment in compiling the index. 

The editor wishes to thank all authors for their willingness to cooperate in this joint effort, which so heavily depended on the concomse of their special expertise. It is hoped that the resulting detailed overview will be of help to more fully exploit the large potential offered by polymeric systems. Unfortimately the comprehensive treatment has made it necessary to publish the above, closely related eight contributions in two consecutive volumes of the Advances in Polymer Science, Vols. 187 and 188. However, a common Subject Index in both volumes and the reproduction of the two List of Contents should make it easy for the reader to find the desired information. 

After controlling for common mediod bias, all latent constructs except use expertise were built 1 taking the average of the construcl s items. For use expertise, both scaies were multiplied to build a formative index (Diamantopoulos and VlAnklhofer 2001 Hombui et ai. 2002], Collinearity of items, a common probiem in the construction of formative indices (Diamantopoulos et al. 2008], was ruled by correlation anaiyses (Person s r=0,087 p=0,305). Tabie 24 shows the descriptive data and correiations for the first part of the analysis (antecedents of empioyees lead usemess]. Table 25 includes descriptive data for the second part (consequences of iead usemess]. 

In plastics analysis, there are a variety of analytical methods for characterization of morphological differences related to degradation of resins from reprocessing. These techniques include FTIR, thermal analysis (TGA, DSC, TMA, DMA), Colorimetric analysis, ESCA or XPS, and GPC. These methods can be laborious and require technical expertise and equipment not always readily available. An imaging method correlated to one of these techniques, especially Melt Flow Index, is extremely useful. Such a method is rapid to obtain by imaging, reduces sample preparation time, and provides a scale of intensities for purposes of correlation. The method is surface sensitive. 

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