2,475 research outputs found

    Double resonance of Raman transitions in a degenerate Fermi gas

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    We measure momentum-resolved Raman spectra of a spin-polarized degenerate Fermi gas of 173^{173}Yb atoms for a wide range of magnetic fields, where the atoms are irradiated by a pair of counterpropagating Raman laser beams as in the conventional spin-orbit coupling scheme. Double resonance of first- and second-order Raman transitions occurs at a certain magnetic field and the spectrum exhibits a doublet splitting for high laser intensities. The measured spectral splitting is quantitatively accounted for by the Autler-Townes effect. We show that our measurement results are consistent with the spinful band structure of a Fermi gas in the spatially oscillating effective magnetic field generated by the Raman laser fields.Comment: 7 pages, 6 figure

    How Do Institutional Investors Interact With Sell-Side Analysts?

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    This paper examines how institutional investors interact with sell-side analysts (hereafter, SSAs) in Korean stock market. In particular, we examine the role of institutional investors as a more sophisticated mechanism which incorporates sell-side analysts’ stock recommendation, target price, and earnings forecast more rapidly than individual investors do. Moreover, we examine whether institutional investors differentiate the quality of sell-side analysts’ information. By using a sample of 1,421 firm-year observations in Korean stock market during 2001–2011, we find that the change of institutional investor’s ownership has a significantly positive association with the level of equity value estimates based on SSAs’ earnings forecasts relative to stock prices and their stock recommendation which are considered as SSAs’ indicator of stock market’s mispricing. In addition, we find that only when SSAs provide more accurate earnings forecasts, institutional investors incorporate SSA’s information into their stock trading. Thus, we conclude that institutional investors in Korean stock market contribute to the enhancement of stock market efficiency by incorporating SSAs’ information into their stock trading more rapidly than individual investors. Our findings add to the literature by shedding a light on the unobserved interaction among more sophisticated stock market participants, such as institutional investors and sell-side analysts

    Metal/graphene sheets as p-type transparent conducting electrodes in GaN light emitting diodes

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    We demonstrate the use of graphene based transparent sheets as a p-type current spreading layer in GaN light emitting diodes (LEDs). Very thin Ni/Au was inserted between graphene and p-type GaN to reduce contact resistance, which reduced contact resistance from similar to 5.5 to similar to 0.6 Omega/ cm(2), with no critical optical loss. As a result, LEDs with metal-graphene provided current spreading and injection into the p-type GaN layer, enabling three times enhanced electroluminescent intensity compared with those with graphene alone. We confirmed very strong blue light emission in a large area of the metal-graphene layer by analyzing image brightness.open281

    Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation

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    Neural radiance field (NeRF) is an emerging view synthesis method that samples points in a three-dimensional (3D) space and estimates their existence and color probabilities. The disadvantage of NeRF is that it requires a long training time since it samples many 3D points. In addition, if one samples points from occluded regions or in the space where an object is unlikely to exist, the rendering quality of NeRF can be degraded. These issues can be solved by estimating the geometry of 3D scene. This paper proposes a near-surface sampling framework to improve the rendering quality of NeRF. To this end, the proposed method estimates the surface of a 3D object using depth images of the training set and sampling is performed around there only. To obtain depth information on a novel view, the paper proposes a 3D point cloud generation method and a simple refining method for projected depth from a point cloud. Experimental results show that the proposed near-surface sampling NeRF framework can significantly improve the rendering quality, compared to the original NeRF and a state-of-the-art depth-based NeRF method. In addition, one can significantly accelerate the training time of a NeRF model with the proposed near-surface sampling framework.Comment: 13 figures, 2 table

    Patterns of Using Complementary and Alternative Medicine by Stroke Patients at Two University Hospitals in Korea

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    This study measured the prevalence of complementary and alternative medicine (CAM) use among Korean stroke patients. Questionnaire-based 20-min interviews were conducted at the hospitals by a trained nurse after an outpatient visit. It included questions on demographic information, clinical information and the utilization of CAM. Of 304 stroke-patient respondents, 164 (54%) had used CAM, of which 66% had started taking CAM products following suggestions from family members and other relatives. Of the 57% of users who felt that CAM was effective, 84% considered that it improved the symptoms of stroke and 16% felt it was effective in achieving psychological relaxation. Of the eight CAM categories used by respondents, 92% used traditional Oriental medical treatments, 36% used plant- and animal-derived over-the-counter health care products, 24% used minerals and vitamins, and 11% used manual therapies. The majority of stroke patients (68%) were trying a new type of CAM, and half of the respondents (45%) relied on the knowledge of their general practitioner about CAMs when deciding whether to use them. Most of the stroke patients in this study used CAM, and a half of them reported beneficial effects. Despite the presence of adverse side effects, they tended to be used without discussion with chief physicians, and hence physicians should be actively involved in the usage of CAM

    The seeded growth of graphene

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    In this paper, we demonstrate the seeded growth of graphene under a plasma chemical vapor deposition condition. First, we fabricate graphene nanopowders (~5 nm) by ball-milling commercial multi-wall carbon nanotubes. The graphene nanoparticles were subsequently subject to a direct current plasma generated in a 100 Torr 10%CH(4) - 90%H(2) gas mixture. The plasma growth enlarged, over one hour, the nuclei to graphene sheets larger than one hundred nm(2) in area. Characterization by electron and X-ray diffraction, high-resolution transmission electron microscopy images provide evidence for the presence of monolayer graphene sheets
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