Discovery of Spatial Periodicities in a Coronal Loop Using Automated Edge-Tracking Algorithms

A new method for automated coronal loop tracking, in both spatial and temporal domains, is presented. Applying this technique to TRACE data, obtained using the 171 angstrom filter on 1998 July 14, we detect a coronal loop undergoing a 270 s kink-mode oscillation, as previously found by Aschwanden et al. However, we also detect flare-induced, and previously unnoticed, spatial periodicities on a scale of 3500 km, which occur along the coronal loop edge. Furthermore, we establish a reduction in oscillatory power for these spatial periodicities of 45% over a 222 s interval. We relate the reduction in detected oscillatory power to the physical damping of these loop-top oscillations.

Proteomic method for the quantification of methionine sulfoxide

Glycoxidation and lipoxidation reactions contribute to the chemical modification of proteins during the Maillard reaction. Reactive oxygen species, produced during the oxidation of sugars and lipids in these processes, irreversibly oxidize proteins. Methionine is particularly susceptible to oxidation, yielding the oxidation product methionine sulfoxide (MetSO). Here we describe a method for the analysis of MetSO using proteomic techniques. Using these techniques, we measured MetSO formation on the model protein RNase during aerobic incubations with glucose and arachidonate. We also evaluated the susceptibility of MetSO to reduction by NaBH4, a commonly used reductant in the analysis of Maillard reaction products.

Quantification of halide in ionic liquids using ion chromatography

The determination of chloride impurities in ionic liquids using ion chromatography is described. A wide range of cation-anion combinations may be analyzed using ion chromatography, including water-immiscible ionic liquids. For all ionic liquids studied, the limit of quantification for chloride was found to be below 8 ppm.

A Survey of Search Methodologies and Automated System Development for Examination Timetabling

Exam timetabling is one of the most important administrative activities that takes place in academic institutions. In this paper we present a critical discussion of the research on exam timetabling in the last decade or so. This last ten years has seen an increased level of attention on this important topic. There has been a range of significant contributions to the scientific literature both in terms of theoretical andpractical aspects. The main aim of this survey is to highlight the new trends and key research achievements that have been carried out in the last decade.We also aim to outline a range of relevant important research issues and challenges that have been generated by this body of work.

We first define the problem and review previous survey papers. Algorithmic approaches are then classified and discussed. These include early techniques (e.g. graph heuristics) and state-of-the-art approaches including meta-heuristics, constraint based methods, multi-criteria techniques, hybridisations, and recent new trends concerning neighbourhood structures, which are motivated by raising the generality of the approaches. Summarising tables are presented to provide an overall view of these techniques. We discuss some issues on decomposition techniques, system tools and languages, models and complexity. We also present and discuss some important issues which have come to light concerning the public benchmark exam timetabling data. Different versions of problem datasetswith the same name have been circulating in the scientific community in the last ten years which has generated a significant amount of confusion. We clarify the situation and present a re-naming of the widely studied datasets to avoid future confusion. We also highlight which research papershave dealt with which dataset. Finally, we draw upon our discussion of the literature to present a (non-exhaustive) range of potential future research directions and open issues in exam timetabling research.

Adaptive automated construction of hybrid heuristics for exam timetabling and graph colouring problems

In this paper, we present a random iterative graph based hyper-heuristic to produce a collection of heuristic sequences to construct solutions of different quality. These heuristic sequences can be seen as dynamic hybridisations of different graph colouring heuristics that construct solutions step by step. Based on these sequences, we statistically analyse the way in which graph colouring heuristics are automatically hybridised. This, to our knowledge, represents a new direction in hyper-heuristic research. It is observed that spending the search effort on hybridising Largest Weighted Degree with Saturation Degree at the early stage of solution construction tends to generate high quality solutions. Based on these observations, an iterative hybrid approach is developed to adaptively hybridise these two graph colouring heuristics at different stages of solution construction. The overall aim here is to automate the heuristic design process, which draws upon an emerging research theme on developing computer methods to design and adapt heuristics automatically. Experimental results on benchmark exam timetabling and graph colouring problems demonstrate the effectiveness and generality of this adaptive hybrid approach compared with previous methods on automatically generating and adapting heuristics. Indeed, we also show that the approach is competitive with the state of the art human produced methods.

Quantification of Hox and Surfactant Protein-B Transcription during Murine Lung Development.

Abstract BACKGROUND: Genetic processes underlying fetal lung development and maturation are incompletely understood. Better knowledge of these processes would provide insights into the causes of lung malformations and prevention of respiratory distress syndrome and the potential adverse effects of glucocorticoids. Hox genes are involved in the lung branching morphogenesis and maturation of respiratory epithelium, but their expression pattern remains to be defined. OBJECTIVES: We hypothesized that genes involved in lung branching would be downregulated during early development, whereas those involved in maturation would be unchanged or upregulated. METHODS: TaqMan real-time primers and probes were designed for all 39 murine Hox genes, and the murine SP-B gene and transcription profiles of these genes were obtained from whole lungs isolated at e14.5, e16.5, e18.5, e19.5 and postnatal days 1 and 20. RESULTS: Hox genes in clusters A and B, specifically those between paralog groups 3 and 7, were the most represented, with Hoxa4 and Hoxa5 being the most highly transcribed. A wave of reduced transcription in 16 Hox genes, coincident with increased SP-B transcription, was observed with advancing gestation. Consistently high transcription of Hoxa5 from e14.5 to postnatal day 20 may indicate that sustained transcription is required for normal lung maturation. When e15.5 lungs were cultured with dexamethasone, Hoxb6, Hoxb7 and Hoxb8 levels were significantly upregulated, creating the potential for modulation of diverse downstream target genes. CONCLUSIONS: Improved understanding of the genetic processes underlying lung development afforded by our Q-PCR platform may allow development of more specific methods for inducing fetal lung maturation.