837 research outputs found

    SARDSRN: A NEURAL NETWORK SHIFT-REDUCE PARSER

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    Simple Recurrent Networks (SRNs) have been widely used in natural language tasks. SARDSRN extends the SRN by explicitly representing the input sequence in a SARDNET self-organizing map. The distributed SRN component leads to good generalization and robust cognitive properties, whereas the SARDNET map provides exact representations of the sentence constituents. This combination allows SARDSRN to learn to parse sentences with more complicated structure than can the SRN alone, and suggests that the approach could scale up to realistic natural language

    \u3ci\u3eIsospora californica\u3c/i\u3e (Protozoa: Eimeriidae) in \u3ci\u3ePeromyscus maniculatus\u3c/i\u3e (Cricetidae) from White Sands National Monument, New Mexico

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    Isospora californica (Protozoa: Eimeriidae) in Peromyscus maniculatus (Cricetidae) from White Sands National Monument, New Mexico This report constitutes a new geographic record for Isospora californica and adds a micrograph of the coccidium, which the original description did not include. The latter is important because to correctly identify coccidia, a photograph as well as a drawing is at times necessary

    \u3ci\u3eIsospora californica\u3c/i\u3e (Protozoa: Eimeriidae) in \u3ci\u3ePeromyscus maniculatus\u3c/i\u3e (Cricetidae) from White Sands National Monument, New Mexico

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    Isospora californica (Protozoa: Eimeriidae) in Peromyscus maniculatus (Cricetidae) from White Sands National Monument, New Mexico This report constitutes a new geographic record for Isospora californica and adds a micrograph of the coccidium, which the original description did not include. The latter is important because to correctly identify coccidia, a photograph as well as a drawing is at times necessary

    Production functions of NCAA men and women water polo matches

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    Previous research has adapted the use of economic production functions to estimate the scoring production of teams in professional sports. Most of these studies have focused on professional male team sports, most notably, US baseball, basketball, and association football. This study adds to the literature by utilizing a new and distinctive data set of shooting statistics from 88 men’s and 38 women’s NCAA water polo contests to estimate production functions for United States’ collegiate water polo games and identify the most important variables for predicting margin of victory in such competitions. The results show that shots on goal, average shot distance, number of counterattacks, quick shots, and efficiency in power play conversions are all significant predictors of goal differentials in men’s contests while shots on goal, average shot distance, counterattacks, and center shots are significant predictors in women’s matches. Previous season win percentage, rebounds, exclusions, and missed shots were not significant predictors in the models. These conclusions confirm and extend previous discriminatory studies of elite international water polo contests

    Risk of Climate-Related Impacts on Global Rangelands – A Review and Modelling Study

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    Climate change threatens the ability of global rangelands to provide food, support livelihoods and deliver important ecosystems services. The extent and magnitude of potential impacts are however poorly understood. In this study, we review the risk of climate impacts along the rangeland systems food supply chain. We also present results from biophysical modelling simulations and spatial data analyses to identify where and to what extent rangelands may be at climatic risk. Although a quantification of the net impacts of climate change on rangeland production systems is beyond the reach of our current understanding, there is strong evidence that there will be impacts throughout the supply chain, from feed and animal production to processing, storage, transport, retailing and human consumption. Regarding grazing biomass production, this study finds that mean herbaceous biomass is projected to decrease across global rangelands between 2000 and 2050 under RCP 8.5 (-4.7%), while inter- (year-to-year) and intra- (month-to-month) annual variabilities are projected to increase (+21.3% and +8.2%, respectively). These averaged global estimates mask large spatial heterogeneities, with 74% of global rangeland area projected to experience a decline in mean biomass, 64% an increase in inter-annual variability and 54% an increase in intra-annual variability. The potentially most damaging vegetation trends for livestock production (i.e., simultaneous decreases in mean biomass and increases in inter-annual variability) are projected to occur in rangeland communities that are currently the most vulnerable (here, with the lowest livestock productivities and economic development levels and with the highest projected increases in human population densities). Large uncertainties remain as to climate futures and the exposure and responses of the interlinked human and natural systems to climatic changes over time. Consequently, adaptation choices will need to build on robust methods of designing, implementing and evaluating detailed development pathways, and account for a wide range of possible futures

    Exact solution of a two-type branching process: Clone size distribution in cell division kinetics

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    We study a two-type branching process which provides excellent description of experimental data on cell dynamics in skin tissue (Clayton et al., 2007). The model involves only a single type of progenitor cell, and does not require support from a self-renewed population of stem cells. The progenitor cells divide and may differentiate into post-mitotic cells. We derive an exact solution of this model in terms of generating functions for the total number of cells, and for the number of cells of different types. We also deduce large time asymptotic behaviors drawing on our exact results, and on an independent diffusion approximation.Comment: 16 page
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