Motivation The Recognition Primed Decision-Making model (RPD) (Klein, 1999) has been used to describe Design Decision-Making (DDM). Originally the RPD model was a multi-stage model but it has matured into three variations to better describe differing situations that one could encounter. These variations have not been reflected in the DDM literature. Research approach Theoretical Thematic Analys...

Current dental restorations have short longevity, and consequently, there is a need for novel tissue engineering strategies that aim to regenerate the dentin-pulp complex. Dentin matrix contains a myriad of bioactive growth factors and extracellular matrix proteins associated with the recruitment, proliferation, and differentiation of dental pulp progenitor cells. In this study, we show that de...

Recent work has shown that the choice of the type and concentration of detergent used for the solubilization of membrane proteins can strongly influence the results of functional experiments. In particular, the amino acid transporter LeuT can bind two substrate molecules in low concentrations of n-dodecyl β-d-maltopyranoside (DDM), whereas high concentrations reduce the molar binding stoichiome...

• THE WORK REPORTED IN THIS PAPER HAS BEEN FUNDED IN PART BY THE CO-OPERATIVE RESEARCH CENTRE PROGRAM THROUGH THE DEPARTMENT OF INDUSTRY, SCIENCE AND TOURISM OF THE COMMONWEALTH GOVERNMENT OF AUSTRALIA. Abstract This paper presents our hybrid architectural model for Distributed Data Mining (DDM) which is tailored to meet the needs of e-businesses where application service providers sell DDM ser...

Particle size is a key variable in understanding the behaviour of particulate products that underpin much our modern lives. Typically obtained from suspensions at rest, measuring particle under flowing conditions would enable advances for in-line testing during manufacture and high-throughput development. However, samples are often turbid, multiply scattering light preventing direct use common ...

OBJECTIVE Two-alternative forced-choice tasks are widely used to gain insight into specific areas of enhancement or impairment in individuals with autism spectrum disorder (ASD). Data arising from these tasks have been used to support myriad theories regarding the integrity, or otherwise, of particular brain areas or cognitive processes in ASD. The drift diffusion model (DDM) provides an accoun...

Acetaminophen (APAP) is a widely used analgesic and antipyretic drug, but at high dose it leads to undesirable side effects, such as hepatotoxicity and nephrotoxicity. The aim of this study was to evaluate the protective role of DDM-GSH, a mixture of L-cysteine, L-methionine, and L-serine in a weight ratio of 2 : 1 : 1, in comparison to N-acetylcysteine (NAC), against acetaminophen- (APAP-) ind...

The objective of this paper is to present cost models for estimating the response time for the distributed data mining (DDM) process. These cost models form the basis for developing a hybrid approach to distributed data mining which integrates the client-server and mobile agent paradigms. The underlying objective of the hybrid model is to optimise the DDM process.