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Properties of matter matter in assessment of scald injuries.

Gathering information on the thermal characteristics of the causative agent in scald injuries provides clues as to the likely depth of injury. We theorize that viscosity and thermal capacity may have important roles to play when we view scalds as contact burns due to a liquid. From a 4-year review of our scald patients, we found that scalds due to thick food/drinks such as congee (a porridge made from rice) were associated with a higher rate of surgery. We determined the rate of cooling of seven common food/drinks and found little difference between water, tea, coffee and noodles, other than the starting temperatures. However, the rate of cooling of congee was significantly slower indicating a greater thermal capacity. A "drip" model found that a skin substitute exposed to congee cooled significantly more slowly compared to other food/drinks, suggesting that its greater viscosity plays a role. This supports the theory that the viscosity of food/drink is important.

Beverages↗

On the nature of self-monitoring: matters of assessment, matters of validity.

An extensive network of empirical relations has been identified in research on the psychological construct of self-monitoring. Nevertheless, in recent years some concerns have been expressed about the instrument used for the assessment of self-monitoring propensities, the Self-Monitoring Scale. Both the extent to which the measure taps an interpretable and meaningful causal variable and the extent to which the self-monitoring construct provides an appropriate theoretical understanding of this causal variable have been questioned. An examination of reanalyses of studies of self-monitoring, analyses of the internal structure of the Self-Monitoring Scale, and further relevant data suggest that the measure does tap a meaningful and interpretable causal variable with pervasive influences on social behavior, a variable reflected as a general self-monitoring factor. We discuss the evaluation and furthering of the interpretation of this latent causal variable, offer criteria for evaluating alternative measures of self-monitoring, and present a new, 18-item Self-Monitoring Scale.

Factor Analysis, Statistical↗