Restriction of intramuscular neurite branching and extension is lost in agrin and rapsyn-deficient mice

The phrenic nerve enters the diaphragm at approximately embryonic day 12.5 (E12.5) in the mouse. The secondary nerve trunk advances along the centre of the diaphragm muscle and extends tertiary branches primarily towards the lateral side during normal embryonic development. In the present study we quantified the intramuscular neurite branching in the most ventral region of the diaphragm at E15.5 and E18.5 in wild-type mice, agrin knock-out mice (KOAG) and rapsyn knock-out mice (KORAP). KOAG and KORAP have decreased muscle contraction due to their inability to maintain/form acetylcholine receptor (AChR) clusters during embryonic development. Heterozygote mothers were anaesthetised via an overdose of Nembutal (30 mg; Boeringer Ingelheim, Ridgefield, CT, USA) and killed via cervical dislocation. There were increases in the number of branches exiting the medial side of the phrenic nerve trunk in KOAG and KORAP compared to wild-type mice, but not on the lateral side at E15.5 and E18.5. However, the number of bifurcations in the periphery significantly increased on both the medial and lateral sides of the diaphragm at E15.5 and E18.5 in KOAG and KORAP compared to control mice. Furthermore, neurites extended further on both the medial and lateral sides of the diaphragm at E15.5 and E18.5 in KOAG and KORAP compared to wild-type mice. Together these results show that the restriction of neurite extension and bifurcations from the secondary nerve trunk is lost in both KOAG and KORAP allowing us the opportunity to investigate the factors that restrict motoneuron behaviour in mammalian muscles.

Playing in continuous spaces: Some analysis and extension of population-based incremental learning

As an alternative to traditional evolutionary algorithms (EAs), population-based incremental learning (PBIL) maintains a probabilistic model of the best individual(s). Originally, PBIL was applied in binary search spaces. Recently, some work has been done to extend it to continuous spaces. In this paper, we review two such extensions of PBIL. An improved version of the PBIL based on Gaussian model is proposed that combines two main features: a new updating rule that takes into account all the individuals and their fitness values and a self-adaptive learning rate parameter. Furthermore, a new continuous PBIL employing a histogram probabilistic model is proposed. Some experiments results are presented that highlight the features of the new algorithms.

MQL: A powerful extension to OCL for MOF queries

The Meta-Object Facility (MOF) provides a standardized framework for object-oriented models. An instance of a MOF model contains objects and links whose interfaces are entirely derived from that model. Information contained in these objects can be accessed directly, however, in order to realize the Model-Driven Architecture@trade; (MDA), we must have a mechanism for representing and evaluating structured queries on these instances. The MOF Query Language (MQL) is a language that extends the UML's Object Constraint Language (OCL) to provide more expressive power, such as higher-order queries, parametric polymorphism and argument polymorphism. Not only do these features allow more powerful queries, but they also encourage a greater degree of modularization and re-use, resulting in faster prototyping and facilitating automated integrity analysis. This paper presents an overview of the motivations for developing MQL and also discusses its abstract syntax, presented as a MOF model, and its semantics