303,690 research outputs found

    Asymptotic Conformal Invariance of SU(2) and Standard Models in Curved Space-time

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    The asymptotic conformal invariance of some SU(2) model and Standard Model in curved space-time are investigated. We have examined the conditions for asymptotic conformal invariance for these models numerically.Comment: 13 pages, Revtex3.

    Conformally Coupled Induced Gravity with Gradient Torsion

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    It is found that conformally coupled induced gravity with gradient torsion gives a dilaton gravity in Riemann geometry. In the Einstein frame of the dilaton gravity the conformal symmetry is hidden and a non-vanishing cosmological constant is not plausible due to the constraint of the conformal coupling.Comment: 8pages, LaTeX, no figure, to be appeared in PR

    Convolutional Neural Networks for Sentence Classification

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    We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks. We show that a simple CNN with little hyperparameter tuning and static vectors achieves excellent results on multiple benchmarks. Learning task-specific vectors through fine-tuning offers further gains in performance. We additionally propose a simple modification to the architecture to allow for the use of both task-specific and static vectors. The CNN models discussed herein improve upon the state of the art on 4 out of 7 tasks, which include sentiment analysis and question classification.Comment: To appear in EMNLP 201

    On the potential functions for a link diagram

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    For an oriented diagram of a link LL in the 3-sphere, Cho and Murakami defined the potential function whose critical point, slightly different from the usual sense, corresponds to a boundary parabolic PSL(2,C)\mathrm{PSL}(2,\mathbb{C})-representation of π1(S3L)\pi_1(S^3 \setminus L). They also showed that the volume and Chern-Simons invariant of such a representation can be computed from the potential function with its partial derivatives. In this paper, we extend the potential function to a PSL(2,C)\mathrm{PSL}(2,\mathbb{C})-representation that is not necessarily boundary parabolic. Under a mild assumption, it leads us to a combinatorial formula for computing the volume and Chern-Simons invariant of a PSL(2,C)\mathrm{PSL}(2,\mathbb{C})-representation of a closed 3-manifold.Comment: 22 page

    Monitoring muscle fatigue following continuous load changes

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    Department of Human Factors EngineeringPrevious studies related to monitoring muscle fatigue during dynamic motion have focused on detecting the accumulation of muscle fatigue. However, it is necessary to detect both accumulation and recovery of muscle fatigue in dynamic muscle contraction while muscle load changes continuously. This study aims to investigate the development and recovery of muscle fatigue in dynamic muscle contraction conditions following continuous load changes. Twenty healthy males conducted repetitive elbow flexion and extension using 2kg and 1kg dumbbell, by turns. They performed the two tasks of different intensity (2kg intensity task, 1kg intensity task) alternately until they felt they could no longer achieve the required movement range or until they experienced unacceptable biceps muscle discomfort. Meanwhile, using EMG signal of biceps brachii muscle, fatigue detections were performed from both dynamic measurements during each dynamic muscle contraction task and isometric measurements during isometric muscle contraction right before and after each task. In each of 2kg and 1kg intensity tasks, pre, post and change value of EMG amplitude (AEMG) and center frequency were computed respectively. They were compared to check the validity of the muscle fatigue monitoring method using Wavelet transform with EMG signal from dynamic measurements. As a result, a decrease of center frequency in 2kg intensity tasks and an increase of center frequency in 1kg intensity tasks were detected. It shows that development and recovery of muscle fatigue were detected in 2kg and 1kg intensity tasks, respectively. Also, the tendency of change value of center frequency from dynamic measurements were corresponded with that from isometric measurements. It suggests that monitoring muscle fatigue in dynamic muscle contraction conditions using wavelet transform was valid to detect the development and recovery of muscle fatigue continuously. The result also shows the possibility of monitoring muscle fatigue in real-time in industry and it could propose a guideline in designing a human-robot interaction system based on monitoring user's muscle fatigue.clos

    To Cut Pay or Lay Off: Exploring a Vexing HR Challenge

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    Key Findings: In today’s turbulent business environment the need to reduce payroll costs can arise at any time. Generally, this means resorting to one of two agonizing options: cutting pay or engaging in layoffs. The challenge, of course, is to select the option that meets the firm’s financial needs while minimizing the potential downsides involved. Several studies have examined the negative effects of cutbacks on employees. The results of these studies are of limited value to decision-makers, however, since overwhelmingly they focus either on pay cuts or on layoffs while making no attempt to compare the two. Here we report on a series of three studies that extends previous research in a couple of ways. Initially, by examining pay cuts versus layoffs to test their comparative effects. And then by explicitly considering the ways in which these effects vary depending on the context in which they are executed
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