7,924 research outputs found

    Computational Experiments for Science and Engineering Education

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    How to integrate simulation-based engineering and science (SBES) into the science curriculum smoothly is a challenging question. For the importance of SBES to be appreciated, the core value of simulations-that they help people understand natural phenomena and solve engineering problems-must be taught. A strategy to achieve this goal is to introduce computational experiments to the science curriculum to replace or supplement textbook illustrations and exercises and to complement or frame hands-on or wet lab experiments. In this way, students will have an opportunity to learn about SBES without compromising other learning goals required by the standards and teachers will welcome these tools as they strengthen what they are already teaching. This paper demonstrates this idea using a number of examples in physics, chemistry, and engineering. These exemplary computational experiments show that it is possible to create a curriculum that is both deeper and wider

    Trust, Reciprocity, Fairness, and Mind Reading Under Stress

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    Some hypothesized that when stressed, females activate tend-and-befriend, a stress response that enhances social abilities. Yet, critics argued this stress response is not exclusive to females and others suggested that males and females have different stress responses associated with social skills. This study intended to address these criticisms by testing whether males exhibit prosocial responses to stress and if particular stress responses improved social skills. To do this, 70 healthy introductory psychology students from a large public university in northern California were recruited to participate. Using random assignment, half of these individuals were exposed to an acute stressor and another half were not. They were then asked to complete questionnaires, social decision-making games, and a social inference task. Saliva samples containing cortisol, a stress biomarker, were collected to measure the intensity of bodily stress response. Neither stressed males nor stressed females exhibited changes to social behavior. However, this study also found that females’ social cognition remained unaffected despite stress. In contrast, males who had a low cortisol stress response showed diminished social cognitive skills. This finding supports the tend-and-befriend theory’s notion that females possess a specialized stress response geared towards social affiliation

    A scanning tunneling microscopy based potentiometry technique and its application to the local sensing of the spin Hall effect

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    A scanning tunneling microscopy based potentiometry technique for the measurements of the local surface electric potential is presented and illustrated by experiments performed on current-carrying thin tungsten films. The obtained results demonstrate a sub-millivolt resolution in the measured surface potential. The application of this potentiometry technique to the local sensing of the spin Hall effect is outlined and some experimental results are reported.Comment: 9 pages and 4 figure

    Part-Aware Product Design Agent Using Deep Generative Network and Local Linear Embedding

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    In this study, we present a data-driven generative design approach that can augment human creativity in product shape design with the objective of improving system performance. The approach consists of two modules: 1) a 3D mesh generative design module that can generate part-aware 3D objects using variational auto-encoder (VAE), and 2) a low-fidelity evaluation module that can rapidly assess the engineering performance of 3D objects based on locally linear embedding (LLE). This approach has two unique features. First, it generates 3D meshes that can better capture surface details (e.g., smoothness and curvature) given individual parts’ interconnection and constraints (i.e., part-aware), as opposed to generating holistic 3D shapes. Second, the LLE-based solver can assess the engineering performance of the generated 3D shapes to realize real-time evaluation. Our approach is applied to car design to reduce air drag for optimal aerodynamic performance

    Steady-state dynamic behavior of an auxiliary bearing supported rotor system

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    This paper investigates the steady-state responses of a rotor system supported by auxiliary bearings in which there is a clearance between the rotor and the inner race of the bearing. A simulation model based upon the rotor of a production jet engine is developed and its steady-state behavior is explored over a wide range of operating conditions for various parametric configurations. Specifically, the influence of rotor imbalance, support stiffness, and damping is studied. It is found that imbalance may change the rotor responses dramatically in terms of frequency contents at certain operating speeds. Subharmonic responses of 2nd order through 10th order are all observed except the 9th order. Chaotic phenomenon is also observed. Jump phenomena (or double-valued responses) of both hard-spring type and soft-spring type are shown to occur at low operating speeds for systems with low auxiliary bearing damping or large clearance even with relatively small imbalance. The effect of friction between the shaft and the inner race of the bearing is also discussed

    Parallel Computation of the Minimal Elements of a Poset

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    Computing the minimal elements of a partially ordered finite set (poset) is a fundamental problem in combinatorics with numerous applications such as polynomial expression optimization, transversal hypergraph generation and redundant component removal, to name a few. We propose a divide-and-conquer algorithm which is not only cache-oblivious but also can be parallelized free of determinacy races. We have implemented it in Cilk++ targeting multicores. For our test problems of sufficiently large input size our code demonstrates a linear speedup on 32 cores.National Science Foundation (U.S.). (Grant number CNS-0615215)National Science Foundation (U.S.). (Grant number CCF- 0621511
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