Subjective analysis

Resources consumed in product development can be significant Team-based application and systematic approach is essential Many subjective analysis processes... 

The results were analysed by a within-subjects analysis of variance for factors of trial (1,2,3) and odour type (almond, cKl, water). The data were normally distributed (Shapiro-Wilks tests). Planned contrasts compared each of the two odours with the control odour. Only significant results are reported. The results for each behaviour were analysed separately. Four of the trials were videotaped to enable intra-and inter-rater reliability to be assessed for the observations. There was 100% concordance for both intra- and inter-rater codings. 

Reviews appeared on the following subjects Analysis of lipid hydroperoxides , the difficulties encountered for hydroperoxide analysis in a plasma matrix , post-column derivatization after GLC of lipid hydroperoxides and methods for detection and characterization of hydroperoxy groups in oxidized polyolefins . 

A major application of solid state NMR is the study of polymer morphology. Information potentially available includes the amount and orientation of crystalline phases in semi-crystalline polymers and the domain sizes in phase-separated polymeric systems. For the determination of crystallinity, a common method is to measure Ti relaxation in NMR (or NMR for deuterated polymers). The relaxation data can often be resolved into two (or more) components, which may correspond to magnetization arising from crystalline and amorphous phases (11-15,130-134). The development of the maximum entropy regularization method has permitted more facile and less subjective analysis of the data (143). In optimal cases, multiple components can be identified. 

The growth experience of the electrochemical industry during the period 1958 to 1963 is analyzed in the first half of this section. The second half is devoted to a subjective analysis and some predictions regarding the future prospects of the electrochemical industry. The last section was prepared with the help of Professor John O M. Bockris, director of the University of Pennsylvania s Electrochemical Laboratory. 

Lee et al (1993) have examined the quality of sesame seed oil roasted for 30, 60, 90 and 120 min at 100, 200 and 300°C. Seeds roasted at 200°C for 90 min gave the highest yield of oil as well as overall aroma and taste quality. The oil contained low amounts of a brown-black precipitate and exhibited most favored sensory quality as evidenced by subjective analysis. Similarly, the oil obtained from seeds roasted at 200°C contained the highest number of volatile flavor compounds with relatively high concentrations of fur-furals (sweet candy like) and pyrazines (roasted like) that are known to contribute to the... 

O Rourke, N.P., Bunker, V.W., Thomas, A.J., Finglas, P.M., Bailey, A.L., and Clayton, B.E., 1990. Thiamine status of healthy and institutionalized elderly subjects analysis of dietary intake and biochemical indices. Age and Ageing. 19 325-329. 

Oliveira, A.V.M., Caspar, A.R., Raiimmdo, A M. Quintela, D.A. 2014b. Evaluation of Occupational Cold Thermal Environments Field Measurements and Subjective Analysis. Industrial Health 52(3) 262-274. 

Despite the limitations in the study the methodology proposed to evaluate the mobilization task allowed to monitor skin temperature without interfere with the subject and provided objective physiologic measurements associated with microcirculation. The use of false colour thermograms provided fast and easy subjective analysis of the temperature distribution. The passive mobilization technique increased the skin temperature in the upper trapezius and increased the temperature differences between the dominant and non dominant side. 

Streff, F.M. and Geller, E.S. 1988. An experimental study of risk compensation Between-subject versus within-subject analysis. Accident Analysis and Prevention, 20, 211-291. 

A detailed and subjective analysis of the data was not possible because of the lack of suitable population data and comprehensive details of the events for which we had knowledge. However, examination of the data that we had on a subjective basis suggested that the following conclusions could be made -... 

One problem with the Rasmussen data is that it requires subjective analysis of the operator s training and capabilities. A set of human error rates was developed by Hunns for more specific tasks, not relying as much on the operator s capabilities and knowledge (Hunns (1982)). These data are presented in Table 9.3 and were based on extrapolation from human error rate databases. These data are similar to the rates of Rasmussen in Table 9.2 but provide some actual examples and do not require as much subjective analysis as the Rasmussen data. 

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