219 research outputs found

    Biorhythms and swimming performances

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    The purpose of this study was to determine the influence of the physical, emotional, and intellectual biorhythmic cycles on the swimming times of age group swimmers. [This is an excerpt from the abstract. For the complete abstract, please see the document.

    Inside Sales Force and Gender: Mediating Effects of Intrinsic Motivation on Sales Controls and Performance

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    Business-to-business sales organizations are experiencing inside sales growth as well as increased importance and utilization of their inside sales people. This dynamic role change towards inside sales is resulting in organizations re-thinking their sales control structure. To fill this gap, data was collected from 183 inside sales professionals representing a variety of industries. Utilizing Partial Least Square Analysis (PLS), this study analyzed the influences of gender on the relationship between sales controls and job performance to include measuring effects of intrinsic motivation, both challenge seeking and task enjoyment, on the model relationships. Findings suggest that differences do exist between males and females. Practitioners are given greater insight into how role and gender variables along with control systems and intrinsic motivation work together in the design and implementation of more sales control systems

    The Promise of Artificial Intelligence and Potential Impact on the Sales Function

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    After a great deal of press and promise, artificial intelligence is beginning to make inroads in the sales function. In this paper, we follow on United Kingdom-based company called CloudApps and the firm\u27s development of an artificial intelligence solution to address the issues inherent in the management of the sales pipeline. We then outline some of the other potential applications using artificial intelligence within an organizations\u27 sales function

    Balanced exploitation and coexistence of interacting, size-structured, fish species

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    This paper examines some effects of exploitation on a simple ecosystem containing two interacting fish species, with life histories similar to mackerel (Scomber scombrus) and cod (Gadus morhua), using a dynamic, size-spectrum model. Such models internalize body growth and mortality from predation, allowing bookkeeping of biomass at a detailed level of individual predation and growth and enabling scaling up to the mass balance of the ecosystem. Exploitation set independently for each species with knife-edge, size-at-entry fishing can lead to collapse of cod. Exploitation to achieve a fixed ratio of yield to productivity across species can also lead to collapse of cod. However, harvesting balanced to the overall productivity of species in the exploited ecosystem exerts a strong force countering such collapse. If balancing across species is applied to a fishery with knife-edge selection, size distributions are truncated, changing the structure of the system and reducing its resilience to perturbations. If balancing is applied on the basis of productivity at each body size as well as across species, there is less disruption to size-structure, resilience is increased, and substantially greater biomass yields are possible. We note an identity between the body size at which productivity is maximized and the age at which cohort biomass is maximized. In our numerical results based on detailed bookkeeping of biomass, cohort biomass reaches its maximum at body masse

    Synthetic virus-like gene delivery systems

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    Living in groups: spatial-moment dynamics with neighbour-biased movements

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    Herd formation in animal populations, for example to escape a predator or coordinate feeding, is a widespread phenomenon. Understanding which interactions between individual animals are important for generating such emergent self-organisation has been a key focus of ecological and mathematical research. Here we show the relationship between the algorithmic rules of herd-forming agents, and the mathematical structure of the corresponding spatial-moment dynamics. This entails scaling up from the rules of individual, herd generating behaviour to the macroscopic dynamics of herd structure. The model employs a mechanism for neighbour-dependent, directionally-biased movement to explore how individual interactions generate aggregation and repulsion in groups of animals. Our results show that a combination of mutually attractive and repulsive interactions with different spatial scales is sufficient to lead to the stable formation of groups with a characteristic size

    Regional-scale input of dispersed and discrete volcanic ash to the Izu-Bonin and Mariana subduction zones

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    We have geochemically and statistically characterized bulk marine sediment and ash layers at Ocean Drilling Program Site 1149 (Izu-Bonin Arc) and Deep Sea Drilling Project Site 52 (Mariana Arc), and have quantified that multiple dispersed ash sources collectively comprise ~30-35% of the hemipelagic sediment mass entering the Izu-Bonin-Mariana subduction system. Multivariate statistical analyses indicate that the bulk sediment at Site 1149 is a mixture of Chinese Loess, a second compositionally distinct eolian source, a dispersed mafic ash, and a dispersed felsic ash. We interpret the source of these ashes as respectively being basalt from the Izu-Bonin Front Arc (IBFA) and rhyolite from the Honshu Arc. Sr-, Nd-, and Pb isotopic analyses of the bulk sediment are consistent with the chemical/statistical-based interpretations. Comparison of the mass accumulation rate of the dispersed ash component to discrete ash layer parameters (thickness, sedimentation rate, and number of layers) suggests that eruption frequency, rather than eruption size, drives the dispersed ash record. At Site 52, the geochemistry and statistical modeling indicates that Chinese Loess, IBFA, dispersed BNN (boninite from Izu-Bonin), and a dispersed felsic ash of unknown origin are the sources. At Site 1149 the ash layers and the dispersed ash are compositionally coupled, whereas at Site 52 they are decoupled in that there are no boninite layers, yet boninite is dispersed within the sediment. Changes in the volcanic and eolian inputs through time indicate strong arc- and climate-related controls
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