Operational mesoscale atmospheric dispersion prediction using a parallel computing cluster

An operational atmospheric dispersion prediction system is implemented on a cluster supercomputer for Online Emergency Response at the Kalpakkam nuclear site. This numerical system constitutes a parallel version of a nested grid meso-scale meteorological model MM5 coupled to a random walk particle dispersion model FLEXPART. The system provides 48-hour forecast of the local weather and radioactive plume dispersion due to hypothetical airborne releases in a range of 100 km around the site. The parallel code was implemented on different cluster configurations like distributed and shared memory systems. A 16-node dual Xeon distributed memory gigabit ethernet cluster has been found sufficient for operational applications. The runtime of a triple nested domain MM5 is about 4h for a 24h forecast. The system had been operated continuously for a few months and results were ported on the IMSc home page. Initial and periodic boundary condition data for MM5 are provided by NCMRWF, New Delhi. An alternative source is found to be NCEP, USA. These two sources provide the input data to the operational models at different spatial and temporal resolutions using different assimilation methods. A comparative study on the results of forecast is presented using these two data sources for present operational use. Improvement is noticed in rainfall forecasts that used NCEP data, probably because of its high spatial and temporal resolution

Can information affect sensory perceptions? Evidence from a survey on Italian organic food consumers

This paper aims to investigate the influence of information on consumers’ preferences and sensory perceptions of organic food using a sample of 301 Italian organic food consumers. Consumers stated their preferences for “core organic” attributes, labels and information on food products and performed blind and informed tests on strawberry yoghurts and cookies. Data were analysed using descriptive analysis, Mann-Whitney U tests and Wilcoxon signed-rank test. Results revealed that consumers appreciate “core organic” attributes, like artisanal production and variability of sensory attributes. Comparing blind and informed tests, results showed that information affects the overall liking of products and consumers’ perception of product-specific sensory attributes. However, the influence of information on sensory perceptions depends on the product category, sensory attributes and the type of information provided

Personalized diagnosis and therapy.

Personalized medicine, i.e., the use of information about a person’s genes, proteins, metabolites, and environment to prevent, diagnose, and treat disease, has been much talked about in recent years. So some observers are wondering what the excitement is all about cumulating in the following statement: “Personalized health care is nothing new. Doctors have always tried to fit the therapy to the patient’s need if possible.” But what has happened more recently is that one has now begun to go a level deeper, i.e., to explore the biology of the disease and its treatment at the molecular level. However, molecular medicine does not per se define personalized medicine, but the molecular tools are important as they should enable greater relevance in the information provided by corresponding diagnostic tests (see below) (Edwards et al. 2008; Weedon et al. 2006; Romeo et al. 2007; Hegel et al. 1999; Wildin et al. 2001; Grant et al. 2006; Rothman and Greenland 2005; Raeder et al. 2006; Hegele et al. 2000; Capell and Collins 2006; Delepine et al. 2000; Janssens et al. 2006; Xiayan and Legido-Quigley 2008; Figeys and Pinto 2001; Müller 2002, 2010; Pearson et al. 2007; Janssens et al. 2008; Risch and Merikangas 1996; Janssens and van Duijn 2008; McCarthy 2003; McCarthy et al. 2003; Stumvoll et al. 2005; Lyssenko et al. 2005; Florez et al. 2003)