55,134 research outputs found

    Muscular power (upper and lower body) and performance in the hammer throw

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    This file was last viewed in Adobe Reader 7.0The relationship between upper body power, lower body power, and performance in the hammer throw was studied. At a late season NCAA track and field meet, nine athletes from Division III universities, with at least one year of experience in throwing the hammer, were the subjects for this research. Within one hour after each of the subjects completed all their competitions for the day, including the hammer throw, they performed the standard Wingate test on a Monarch cycle ergometer and a modified Wingate test on a modified cycle ergometer to determine muscular power in both the lower and upper body respectively. Data was then analyzed in Microsoft Excel’s spreadsheet and software. A correlational analysis was completed to determine the relationship of the mean differences (within each gender grouping) between performance and PR, performance and R-total (standard and modified Wingate), performance and peak anaerobic power (W/kg) (standard and modified Wingate), and anaerobic capacity (W/kg) (standard and modified Wingate). Statistical levels of significance were determined at the 5% level. From the women’s results, correlations of statistical significance at the 5% level were found with performance and PR (0.977), performance and standard Wingate R-total (0.698), performance and standard Wingate Peak AnC (0.7003), and performance and standard Wingate Rel AnC (0.7666). Correlations were not significant between performance and all three modified Wingate results: R-total (0.2738), Peak AnC (0.3288), and Rel AnC (0.2875). From the men’s results, correlations of statistical significance at the 5% level were found with performance and PR (0.944), performance and standard Wingate R-total (0.804), performance and standard Wingate Peak AnC (0.6833), performance and standard Wingate Rel AnC (0.7666). The correlation of performance and modified Wingate R-total (0.580) was also statistically significant, but the relationship was weak. Correlations were not significant between performance and the remaining modified Wingate results: Peak AnC (0.4287) and Rel AnC (0.2161). The correlations between performance and R-total, Rel Peak AnP, and Rel AnC for the standard Wingate, were very strong for both the female and male subjects. The modified Wingate, upper body test, only moderately correlated performance to R-total for the male subjects. This study indicated that the desired power for throwing the hammer related strongly to lower body power. This tends to suggest that lower body power would be a better predictor of current performance, and that future performance would be greatly influenced by training the lower body for higher power outputs

    Hyperparameter Learning in robust soft LVQ

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    Schneider P, Biehl M, Hammer B. Hyperparameter Learning in robust soft LVQ. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. d-side publications; 2009: 517-522

    Do Chimpanzees Use Weight to Select Hammer Tools?

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    This study was financially supported by a Japan Society for the Promotion of Science Predoc Grant (http://www.jsps.go.jp/english/e-summer/index.html) to Cornelia Schrauf. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.The extent to which tool-using animals take into account relevant task parameters is poorly understood. Nut cracking is one of the most complex forms of tool use, the choice of an adequate hammer being a critical aspect in success. Several properties make a hammer suitable for nut cracking, with weight being a key factor in determining the impact of a strike; in general, the greater the weight the fewer strikes required. This study experimentally investigated whether chimpanzees are able to encode the relevance of weight as a property of hammers to crack open nuts. By presenting chimpanzees with three hammers that differed solely in weight, we assessed their ability to relate the weight of the different tools with their effectiveness and thus select the most effective one(s). Our results show that chimpanzees use weight alone in selecting tools to crack open nuts and that experience clearly affects the subjects' attentiveness to the tool properties that are relevant for the task at hand. Chimpanzees can encode the requirements that a nut-cracking tool should meet (in terms of weight) to be effective.Peer reviewe

    Relevance matrices in LVQ

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    Schneider P, Biehl M, Hammer B. Relevance matrices in LVQ. In: Verleysen M, ed. Proc. Of European Symposium on Artificial Neural Networks. Brussels, Belgium: d-side publications; 2007: 37-42

    Decomposition of pseudo D-lattices and the Hammer-Sobczyck decomposition

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    We prove an algebraic and a topological decomposition theorem for complete pseudo-D-lattices (i.e. lattice-ordered pseudo-effect algebras). As a consequence, we obtain a Hammer–Sobczyk type decomposition theorem for group-valued modular measures defined on pseudo-D-lattices and compactness of the range of every (Formula presented.)-valued σ-additive modular measure on a σ-complete pseudo-D-lattice. © 2015 Springer Science+Business Media Dordrech

    A 2 h periodic variation in the low-mass X-ray binary Ser X-1

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    Spectroscopy of the low-mass X-ray binary Ser X-1 using the Gran Telescopio Canarias have revealed a ?2 h periodic variability that is present in the three strongest emission lines. We tentatively interpret this variability as due to orbital motion, making it the first indication of the orbital period of Ser X-1. Together with the fact that the emission lines are remarkably narrow, but still resolved, we show that a main-sequence K dwarf together with a canonical 1.4 M? neutron star gives a good description of the system. In this scenario, the most likely place for the emission lines to arise is the accretion disc, instead of a localized region in the binary (such as the irradiated surface or the stream-impact point), and their narrowness is due instead to the low inclination (?10°) of Ser X-1

    ANALYSIS OF GRANULAR MATERIALS IN PENNSYLVANIA HIGHWAYS

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    ABSTRACTANALYSIS OF CRUSHING OF GRANULAR BASES IN PENNSYLVANIA HIGHWAYSKevin P. Hammer, MSUniversity of Pittsburgh, 2005The purpose of this study is to investigate the phenomena of crushing of granular materials forming part of actual flexible pavement systems. Crushing can occur in granular bases during three separate phases, installation and placement, compaction and through everyday vehicular traffic. Crushing in the granular base material could result in a breakdown in strength of the pavement section which could results in pavement cracking or pavement failure. Crushing of the pavement base can occur as a result of a combination of compressive and shear stresses that result from traffic loading and/or construction equipment. Very few field studies exist on the crushing of granular materials under asphalt pavements. This investigation will analyze the crushing of granular bases forming part of actual flexible pavements.For this research, granular materials from actual roadways were analyzed using sieve analysis, point load testing and fractal analysis. In addition to the roadway base samples obtained from actual flexible pavements, "baseline" samples were obtained from stockpiles of roadway base typically used by the Pennsylvania Department of Transportation (PENNDOT).A comparison of the actual a road base samples with those "baseline" samples indicated that some crushing took place in the granular bases. This crushing, however, was not severe. This conclusion is based on the results from the sieve and fractal analyses used in the research program

    Nonlinear discriminative data visualization

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    Bunte K, Biehl M, Hammer B. Nonlinear discriminative data visualization. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. Evere: d-side publications; 2009: 65-70

    Extracting Boer-Mulders functions from p+D Drell-Yan processes

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    We extract the Boer- Mulders functions of valence and sea quarks in the proton from unpolarized p + D Drell- Yan data measured by the FNAL E866 Collaboration. Using these Boer- Mulders functions, we calculate the cos2 phi asymmetries in unpolarized pp Drell- Yan processes, both for the FNAL E866/ NuSea and the BNL Relativistic Heavy Ion Collider experiments. We also estimate the cos2 phi asymmetries in the unpolarized p (P) over bar Drell- Yan processes at GSI.Astronomy & AstrophysicsPhysics, Particles & FieldsSCI(E)37ARTICLE5null7
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