Systematic observation of behavior

The first systematic observations of the behavior of proteins with respect to temperature and pressure came from the kinetic work of Suzukiand the thermodynamic work of Hawley. The elliptic phase diagram is shown in Fig. 2. 

Coaching is essentially a process of one-on-one observation and feedback. The coach systematically observes the behaviors of another person and provides behavioral feedback on the basis of the observations. Safety coaches recognize and support the safe behaviors they observe and offer constructive feedback to reduce the occurrence of any at-risk behaviors. This chapter specifies the steps of safety coaching, points out trainable skills needed to accomplish the process, and illustrates tools and support mechanisms for increasing effectiveness. 

Similarly, improvement in the accuracy of the nuclear dynamics would be fruitful. While in this review we have shown that, in the absence of any approximations beyond the use of a finite basis set, the multiple spawning treatment of the nuclear dynamics can border on numerically exact for model systems with up to 24 degrees of freedom, we certainly do not claim this for the ab initio applications presented here. In principle, we can carry out sequences of calculations with larger and larger nuclear basis sets in order to demonstrate that experimentally observable quantities have converged. In the context of AIMS, the cost of the electronic structure calculations precludes systematic studies of this convergence behavior for molecules with more than a few atoms. A similar situation obtains in time-independent quantum chemistry—the only reliable way to determine the accuracy of a particular calculation is to perform a sequence of... 

A modified Youden two sample quality control scheme is used to provide continuous analytical performance surveillance. The basic technique described by other workers has been extended to fully exploit the graphical identification of control plot patterns. Seven fundamental plot patterns have been identified. Simulated data were generated to illustrate the basic patterns in the systematic error that have been observed in actual laboratory situations. Once identified, patterns in the quality control plots can be used to assist in the diagnosis of a problem. Patterns of behavior in the systematic error contribution are more frequent and easy to diagnose. However, pattern complications in both error domains are observed. This paper will describe how patterns in the quality control plots assist interpretation of quality control data. 

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