A graphics processor-based intranuclear cascade and evaporation simulation

Monte Carlo simulations of the transport of protons in human tissue have been deployed on graphics processing units (GPUs) with impressive results. To provide a more complete treatment of non-elastic nuclear interactions in these simulations, we developed a fast intranuclear cascade-evaporation simulation for the GPU. This can be used to model non-elastic proton collisions on any therapeutically relevant nuclei at incident energies between 20 and 250 MeV. Predictions are in good agreement with Geant4.9.6p2. It takes approximately 2 s to calculate 1×10⁶ 200 MeV proton–¹⁶O interactions on a NVIDIA GTX680 GPU. A speed-up factor of ∼20 relative to one Intel i7-3820 core processor thread was achieved.     

Mining closed patterns in relational,graph and network data

Recent theoretical insights have led to the introduction of efficient algorithms for mining closed item-sets. This paper investigates potential generalizations of this paradigm to mine closed patterns in relational, graph and network databases. Several semantics and associated definitions for closed patterns in relational data have been introduced in previous work, but the differences among these and the implications of the choice of semantics was not clear. The paper investigates these implications in the context of generalizing the LCM algorithm, an algorithm for enumerating closed item-sets. LCM is attractive since its run time is linear in the number of closed patterns and since it does not need to store the patterns output in order to avoid duplicates, further reducing memory signature and run time. Our investigation shows that the choice of semantics has a dramatic effect on the properties of closed patterns and as a result, in some settings a generalization of the LCM algorithm is not possible. On the other hand, we provide a full generalization of LCM for the semantic setting that has been previously used by the Claudien system.     

Learner-controlled selection of tasks with different surface and structural features: Effects on transfer and efficiency

Surface task features are more salient than structural task features and thus easier to recognize for novices. It is predicted that the more salient the task features the better learners can choose personally relevant and varied tasks, which enhances learning transfer. To investigate this prediction, a 2 × 2 factorial experiment with 72 participants studied the effects of control over tasks that differ in their surface features (learner, program) and in their structural features (learner, program). Learner control over the selection of tasks with salient surface features enables learners to select personally relevant and varied tasks. This is believed to yield higher effectiveness (i.e., higher near and far transfer test performance) as well as higher efficiency (i.e., higher transfer test performance combined with lower associated mental effort). Learner control over the selection of tasks with non-salient structural features does not enable learners to select personally relevant and varied tasks and is therefore not expected to yield beneficial effects on learning. The results show positive effects of learner control over the selection of tasks with salient surface features for efficiency on the far transfer test but not for effectiveness. Theoretical and practical implications are discussed.     

Combining Hexanoic Acid Plant Priming with Bacillus thuringiensis Insecticidal Activity against Colorado Potato Beetle

Interaction between insect herbivores and host plants can be modulated by endogenous and exogenous compounds present in the source of food and might be successfully exploited in Colorado potato beetle (CPB) pest management. Feeding tests with CPB larvae reared on three solanaceous plants (potato, eggplant and tomato) resulted in variable larval growth rates and differential susceptibility to Bacillus thuringiensis Cry3Aa toxin as a function of the host plant. An inverse correlation with toxicity was observed in Cry3Aa proteolytic patterns generated by CPB midgut brush-border membrane vesicles (BBMV) from Solanaceae-fed larvae, being the toxin most extensively proteolyzed on potato, followed by eggplant and tomato. We found that CPB cysteine proteases intestains may interact with Cry3Aa toxin and, in CPB BBMV from larvae fed all three Solanaceae, the toxin was able to compete for the hydrolysis of a papain substrate. In response to treatment with the JA-dependent plant inducer Hexanoic acid (Hx), we showed that eggplant reduced OPDA basal levels and both, potato and eggplant induced JA-Ile. CPB larvae feeding on Hx-induced plants exhibited enhanced Cry3Aa toxicity, which correlated with altered papain activity. Results indicated host-mediated effects on B. thuringiensis efficacy against CPB that can be enhanced in combination with Hx plant induction.     

Estimation of the daily intake of hexachlorobenzene from food consumption by the population of Catalonia, Spain: Health risks

In 2000 and 2006, we determined the dietary intake of hexachlorobenzene (HCB) by the population of Catalonia, Spain. In order to establish the temporal trend in the levels of HCB in foodstuffs, as well as in the dietary exposure to that environmental pollutant, the concentrations were again analyzed by HRGC/HRMS in 65 composite food samples widely consumed by the Catalan population. Food samples were randomly purchased in November-December 2008 in local markets, small stores, supermarkets, and large grocery stores from 12 representative cities from Catalonia. The daily intake of HCB associated with this consumption was estimated for four age groups of the population of Catalonia: children, teenagers, adults and seniors, which were in turn divided according to sex. The highest mean HCB levels in food were detected in oils and fats (0.297 ng/g fw), dairy products (0.225 ng/g fw), and fish and seafood (0.170 ng/g fw). In the 2000 and 2006 surveys, total dietary intakes of HCB were 166.2 and 71.6 ng/day, respectively (or 2.4 and 1.0 ng/kg of body weight per day). In the current study, it was 37.7 ng/day (or 0.54 ng/kg of body weight per day), which means considerable decreases with respect to the previous intakes. According to recommendations of international regulatory organisms, the current dietary intake of HCB should not mean any significant health risk (carcinogenic and non-carcinogenic) for any of the age/gender groups of population here assessed.     

The influence of durian (Durio zibethinus Murray cv. Monthong) on conditioned taste aversion to ethanol

The adverse reaction to 1.25 g/kg ethanol was monitored in male Fischer rats given durian or cabbage (2.4 g FW/100 g BW/day), administered intragastrically. During the first ethanol challenge, a reduced rate of blood acetaldehyde clearance and hypothermia, which is associated with the disulfiram-ethanol reaction, was observed in rats given durian or cabbage. Blood ethanol levels and rate of acetaldehyde elimination were lowest 30 min after the first ethanol challenge in rats given cabbage, while a similar but more exacerbated trend was observed at 60 min in rats given durian. When subjected to conditioned taste aversion using saccharine solution (0.2% v/v) paired with ethanol administration, the rats given durian or cabbage exhibited aversion, with the former showing the earliest and most pronounced response, persisting through to the last ethanol challenge. Rats given cabbage exhibited delayed aversion, which progressively increased to the same level as that observed in rats given durian.     

Genetic and transcriptomic evidences suggest ARO10 genes are involved in benzenoid biosynthesis by yeast

Benzenoids are compounds associated with floral and fruity flavours in flowers, fruits and leaves and present a role in hormonal signalling in plants. These molecules are produced by the phenyl ammonia lyase pathway. However, some yeasts can also synthesize them from aromatic amino acids using an alternative pathway that remains unknown. Hanseniaspora vineae can produce benzenoids at levels up to two orders of magnitude higher than Saccharomyces species, so it is a model microorganism for studying benzenoid biosynthesis pathways in yeast. According to their genomes, several enzymes have been proposed to be involved in a mandelate pathway similar to that described for some prokaryotic cells. Among them, the ARO10 gene product could present benzoylformate decarboxylase activity. This enzyme catalyses the decarboxylation of benzoylformate into benzaldehyde at the end of the mandelate pathway in benzyl alcohol formation. Two homologous genes of ARO10 were found in the two sequenced H. vineae strains. In this study, nine other H. vineae strains were analysed to detect the presence and per cent homology of ARO10 sequences by PCR using specific primers designed for this species. Also, the copy number of the genes was estimated by quantitative PCR. To verify the relation of ARO10 with the production of benzyl alcohol during fermentation, a deletion mutant in the ARO10 gene of Saccharomyces cerevisiae was used. The two HvARO10 paralogues were analysed and compared with other α-ketoacid decarboxylases at the sequence and structural level.     

Application of the random pore model to the carbonation cyclic reaction

Calcium oxide has been proved to be a suitable sorbent for high temperature CO₂ capture processes based on the cyclic carbonation‐calcination reaction. It is important to have reaction rate models that are able to describe the behavior of CaO particles with respect to the carbonation reaction. Fresh calcined lime is known to be a reactive solid toward carbonation, but the average sorbent particle in a CaO‐based CO₂ capture system experiences many carbonation‐calcination cycles and the reactivity changes with the number of cycles. This study applies the random pore model (RPM) to estimate the intrinsic rate parameters for the carbonation reaction and develops a simple model to calculate particle conversion with time as a function of the number of cycles, partial pressure of CO₂, and temperature. This version of the RPM model integrates knowledge obtained in earlier works on intrinsic carbonation rates, critical product layer thickness, and pore structure evolution in highly cycled particles. © 2009 American Institute of Chemical Engineers AIChE J, 2009