Trend Prediction Technique

Solving Class 4 problems is what you do when you don t know what you re doing—basic research, where discoveries are made but the path to commercialization is unclear. As such they fall outside the scope of this book—although techniques like Biomimicry (Technique 26), Trend Prediction (Technique 14), Provocation and Movement (Technique 22) and Design of Experiments (Technique 50) can help the Class 4 problem solver. 

Theoretical calculations have proven to be very usefijl in designing efficient FC catalysts based on high-throughput experiments generating trimetaUic nanosystems having PtRu alloyed with Co, Ni, or W [168]. For ejample, the activity trend observed with real Pt, PtRu, PtRuNi, and PtRuCo catalysts generated by sputtering techniques corresponds exactly to the trends predicted by theory (see Fig. 2.20(a) and (b)). 

Used properly, this feature greatly enhances a predictive-maintenance program. The real value of trending techniques is that they provide the capability of automatically scanning large amounts of data (both broadband and narrowband) and reporting any change in pre-selected values. 

Using the spectroscopic technique previously described, Didenko et al., investigated the collapse temperature for rare gases in organic solvents (octanol and dodecane) with Cr(CO)6 as the spectroscopic probe [58]. They observed a trend in temperature consistent with that predicted based on differences in thermal... 

The objectives of this monograph are to provide a compilation of the newest results in this field of research, a critical evaluation of the results, a comparison of the various LC separation techniques, and the prediction of future trends in the LC analysis of pigments. The book is meant to be self-sufficient in terms of the needs of the average analytical chemist who intends to work in this fascinating field. We are confident that it will be a valuable reference book for researchers and serious students engaged in the chromatography of pigments. 

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