1,811 research outputs found

    Characterization of four-qubit states via Bell inequalities

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    A set of Bell inequalities classifying the quantum entanglement of four-qubit states is presented. These inequalities involve only two measurement settings per observer and can characterize fully separable, bi-separable and tri-separable quantum states. In addition, a quadratic inequality of the Bell operators for four-qubit systems is derived

    THE RELATIONSHIP BETWEEN SHOT PUT TECHNIQUE AND MECHANICAL ENERGY OUTPUT OF CHINESE FEMALE SHOT-PUTT ATHLETES

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    The purpose of this study was to examine the relationship between the shot-putt technique and the energy output in Chinese female shot-putt athletes. Three-dimensional photogrammetry and a video analysis system were used to study the shot-put technique from the perspective of the body’s output of mechanical energy. It was found that, during the sliding phase, the main energy output was the kinetic energy of translation. During the transitional phase, the body expends the least energy in delivery of the shot. In the beginning of the push-off phase, the maximum amount of mechanical energy and kinetic energy was used. At the end of the push-off phase the energy output decreased. Otherwise, the relationship between the energy output with the shot putt result and technique indicated that the trunk’s energy output were closely correlated with the shot putt result. Knowledge of the trunk’s movement is of great importance to the shot-put technique

    Co-Salient Object Detection with Co-Representation Purification

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    Co-salient object detection (Co-SOD) aims at discovering the common objects in a group of relevant images. Mining a co-representation is essential for locating co-salient objects. Unfortunately, the current Co-SOD method does not pay enough attention that the information not related to the co-salient object is included in the co-representation. Such irrelevant information in the co-representation interferes with its locating of co-salient objects. In this paper, we propose a Co-Representation Purification (CoRP) method aiming at searching noise-free co-representation. We search a few pixel-wise embeddings probably belonging to co-salient regions. These embeddings constitute our co-representation and guide our prediction. For obtaining purer co-representation, we use the prediction to iteratively reduce irrelevant embeddings in our co-representation. Experiments on three datasets demonstrate that our CoRP achieves state-of-the-art performances on the benchmark datasets. Our source code is available at https://github.com/ZZY816/CoRP.Comment: Accepted by TPAMI 202

    Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment

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    Video quality assessment (VQA) aims to simulate the human perception of video quality, which is influenced by factors ranging from low-level color and texture details to high-level semantic content. To effectively model these complicated quality-related factors, in this paper, we decompose video into three levels (\ie, patch level, frame level, and clip level), and propose a novel Zoom-VQA architecture to perceive spatio-temporal features at different levels. It integrates three components: patch attention module, frame pyramid alignment, and clip ensemble strategy, respectively for capturing region-of-interest in the spatial dimension, multi-level information at different feature levels, and distortions distributed over the temporal dimension. Owing to the comprehensive design, Zoom-VQA obtains state-of-the-art results on four VQA benchmarks and achieves 2nd place in the NTIRE 2023 VQA challenge. Notably, Zoom-VQA has outperformed the previous best results on two subsets of LSVQ, achieving 0.8860 (+1.0%) and 0.7985 (+1.9%) of SRCC on the respective subsets. Adequate ablation studies further verify the effectiveness of each component. Codes and models are released in https://github.com/k-zha14/Zoom-VQA.Comment: Accepted by CVPR 2023 Worksho

    Efficient and convenient synthesis of symmetrical carboxylic anhydrides from carboxylic acids with sulfated zirconia by phase transfer catalysis

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    An efficient and convenient procedure for the synthesis of symmetrical carboxylic anhydrides from carboxylic acids with sulfated zirconia by PEG-1000 phase transfer catalysis has been developed. The reactions proceeded under mild and solvent-free conditions to provide the carboxylic anhydrides in good to excellent yields. The product can be isolated by a simple extraction with organic solvent, and the catalyst system can be recycled or reused without any significant loss of catalytic activity.KEY WORDS: Carboxylic anhydrides, Carboxylic acids, SO42-/ZrO2, Phase transfer catalysis Bull. Chem. Soc. Ethiop. 2011, 25(2), 255-262
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