Implementing statistical training into undergraduate or postgraduate chemistry courses can provide high-impact learning experiences for students. However, the opportunity to reinforce this training with a combined laboratory practical can significantly enhance learning outcomes by providing a practical bolstering of the concepts. This paper outlines a flow chemistry laboratory practical for integrating design of experiments optimisation techniques into an organic chemistry laboratory session in which students construct a simple flow reactor and perform a structured series of experiments followed by computational processing and analysis of the results.

The relationship between cognitive self‐regulatory processes and depression was examined in American Indian adolescents from a Northern Plains tribe. Students completed measures of negative life events, self‐efficacy, goals, and depressive symptoms. Results indicated that academic self‐efficacy was strongly associated with depression. Academic self‐efficacy also correlated with intrinsically motivating goal representations, such that students who indicated high academic self‐efficacy had goals that were more important to them, goals they thought more about, and goals they viewed as wanted by the self instead of as imposed on by others. However, we did not find the hypothesized mediational model in which academic self‐efficacy influenced depression indirectly by influencing goal characteristics. Rather, this indirect model varied by grade, and differed from what we expected. Specifically, for older adolescents, higher levels of academic self‐efficacy predicted goals that were more likely to be identified as the adolescent's own, and in turn, these self‐ as opposed to other‐oriented goals predicted higher levels of depressive symptoms. Results are discussed as providing support for continued investigations into the role of specific cognitive self‐regulatory processes in youth adjustment.

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Target detection in clutter depends sensitively on the spatial structure of the latter. In particular, it is the ratio of the target size to the clutter inhomogeneity scale which is of crucial importance. Indeed, looking for the leopard in the background of leopard skin is a difficult task. Hence quantifying thermal clutter is essential to the development of successful detection algorithms and signature analysis.This paper describes an attempt at clutter characterization along with several applications using calibrated thermal imagery collected by the Keweenaw Research Center. The key idea is to combine spatial and intensity statistics of the clutter into one number in order to characterize intensity variations over the length scale imposed by the target. Furthermore, when properly normalized, this parameter appears independent of temporal meteorological variation, thereby constituting a background scene invariant. This measure has a basis in analysis of variance and is related to digital signal processing fundamentals. Statistical analysis of thermal images is presented with promising results.

Downstream purification of products and intermediates is essential for the development of continuous flow processes. Described herein, is a study on the use of a modular and reconfigurable continuous flow platform for the self-optimisation of reactive extractions and multi-step reaction-extraction processes. The selective extraction of one amine from a mixture of two similar amines was achieved with an optimum separation of 90%, and in this case, the black-box optimisation approach was superior to global polynomial modelling. Furthermore, this methodology was utilised to simultaneously optimise the continuous flow synthesis and work-up of N-benzyl-α-methylbenzylamine with respect to four variables, resulting in a significantly improved purity.