2,704 research outputs found

    Lattice Charge Overlap: Towards the Elastic Limit

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    A numerical investigation of time-separated charge overlap measurements is carried out for the pion in the context of lattice QCD using smeared Wilson fermions. The evolution of the charge distribution function is examined and the expected asymptotic time behavior e(Eqmπ)t\sim e^{-(E_{q}-m_{\pi})t}, where tt represents the charge density relative time separation, is clearly visible in the Fourier transform. Values of the pion form factor are extracted using point-to-smeared correlation functions and are seen to be consistent with the expected monopole form from vector dominance. The implications of these results for hadron structure calculations is briefly discussed.Comment: 8 pages, 7 figures appended as ps file

    Aquinas\u27 Inconsistency on the Nature and the Treatment of Animals

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    Nature’s Queer Performativity*

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    In this article, Karen Barad entertains the possibility of the queerness of one of the most pervasive of all critters – atoms. These “ultraqueer” critters with their quantum quotidian qualities queer queerness itself in their radically deconstructive ways of being. Given that queer is a radical questioning of identity and binaries, including the nature/culture binary, this article aims to show that all sorts of seeming impossibilities are indeed possible, including the queerness of causality, matter, space, and time. What if queerness were understood to reside not in the breech of nature/culture, per se, but in the very  nature of spacetimemattering, Barad asks. This article also considers questions of ethics and justice, and in particular, examines the ways in which moralism insists on having its way with the nature/culture divide. Barad argues that moralism, feeds off of human exceptionalism, and, in particular, human superiority and causes injury to humans and nonhumans alike, is a genetic carrier of genocidal hatred, and undermines ecologies of diversity necessary for flourishing

    Predicting Quadcopter Drone Noise Using the Lattice Boltzmann Method

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    The market for new vertical takeoff and landing vehicles, including autonomous urban air taxis and drones for applications such as package delivery, imaging, and surveillance, is growing rapidly. However, aerodynamic noise continues to be the biggest roadblock to community acceptance and adoption. To predict the aerodynamic noise generated by an isolated quadcopter drone, derived from from first principles, we used the Lattice Boltzmann flow solver within NASAs Launch Ascent and Vehicle Aerodynamics (LAVA) solver framework. The solvers computational efficiency, and the complete absence of labor-intensive manual volume mesh generation in the workflow, are key to making routine aeroacoustic analysis of urban air taxis and drones from first principles possible

    Export And Import Of The Rule Of Law In The Global Era

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    When an officer of the Kigali Bar Association in Rwanda said their members would like an e-commerce training, I was amazed

    System-level Eco-driving (SLED): Algorithms for Connected and Autonomous Vehicles

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    One of the main reasons for increasing carbon emissions by the transportation sector is the frequent congestion caused in a traffic network. Congestion in transportation occurs when demand for commuting resources exceeds their capacity and with the increasing use of road vehicles, congestion and thereby emissions will continue to rise if proper actions are not taken. Adoption of intelligent transportation systems like autonomous vehicle technology can help in increasing the efficiency of transportation in terms of time, fuel and carbon footprint. This research proposes a System Level Eco-Driving (SLED) algorithm and compares the results, produced by performing microscopic simulations, with conventional driving and the coordination heuristic (COORD) algorithm. The SLED algorithm is designed based on shortcomings and observations of the COORD algorithm to improve the traffic network efficiency. In the SLED strategy, a trailing autonomous vehicle would only request coordination if it is within a set distance from the preceding autonomous vehicle and coordination requests will be evaluated based on their estimated system level emissions impact. Additionally, the human-driven vehicles will not be allowed to change lanes. Average CO2 emissions per vehicle for SLED showed improvements ranging from 0% to 5% compared to COORD. Additionally, the threshold limit to surpass the conventional driving behavior CO2 emissions at 900 vehicles per hour density reduced to 30% using SLED as compared to 40% using the COORD algorithm. Average wait time per vehicle for the SLED algorithm at 1200 vehicles per hour density increased by one to six seconds as compared to the COORD strategy although reduced up to thirty seconds of wait time compared to the conventional driving behavior. This finding can be helpful for policy makers to switch the algorithms based on the requirement i.e. opt for the SLED algorithm if reducing emissions has a higher priority compared to wait and travel time while opt for the COORD algorithm if reducing wait and travel time has a higher priority compared to emissions
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