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    Improved S-bend optical waveguide loss formula verified by experiments by Ary Syahriar

    Published 2025-01-01
    “…In this paper we verify our new theoretical version on power loss prediction of S-bend optical waveguides by using analytical theory based on integration of absorption coefficient and compare it to the experimental measurement of such waveguide bends. …”
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  3. 603

    Gut microbial profiles of patients with optic neuritis or myasthenia gravis by Tao Wu, Hanqiu Jiang, Chen Lin, Jingting Peng, Xiuyun Kong, Jie Yu, Jiawei Wang, Shilei Cui

    Published 2025-02-01
    “…Objective To characterize the gut microbial composition of patients with optic neuritis (ON) or myasthenia gravis (MG). Methods Stool samples were collected from 45 patients with ON, 13 patients with MG, and 20 healthy controls. …”
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    Application of Distributed Optical Fiber Technology for Coal Bump Prevention by Han Liang, Jun Han, Zuoqing Bi

    Published 2021-01-01
    “…Microseismic monitoring shows that, after hole drilling optimisation, the high-energy microseismic events and average energy of microseismic events are reduced significantly.…”
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    An Optical Fiber Measurement System for Blade Tip Clearance of Engine by Jia Binghui, He Lei

    Published 2017-01-01
    “…The optical fiber tip clearance measurement system consists of the reflective intensity-modulated optical fiber bundle (sensor), main signal processing unit, high-speed data acquisition card, and a computer. …”
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  14. 614

    Tweezer-Assisted Subwavelength Positioning of Atomic Arrays in an Optical Cavity by M. Seubert, L. Hartung, S. Welte, G. Rempe, E. Distante

    Published 2025-02-01
    “…We present an experimental technique that enables the preparation of defect-free arrays of ^{87}Rb atoms within a microscopic high-finesse optical standing-wave cavity. By employing optical tweezers, we demonstrate atom positioning with a precision well below the cavity wavelength, a crucial requirement for cavity-QED experiments in which maximum atom-cavity coupling strength is required. …”
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  15. 615

    XPS-Characterization of Heterometallic Coordination Compounds with Optically Active Ligands by Yenny Ávila-Torres, Lázaro Huerta, Noráh Barba-Behrens

    Published 2013-01-01
    “…The heterometallic optical complexes [Cu2Co(S,S(+)cpse)3(H2O)3]·4H2O (1) and [Cu2Ni(S,S(+)cpse)3(H2O)3]·10H2O (2) were obtained from the mononuclear copper(II) compound by the addition of nickel(II) or cobalt(II) chlorides, where (H2cpse) is the acetyl amino alcohol derivative N-[2-hydroxy-1(R)-methyl-2(R)-phenylethyl]-N-methylglycine. …”
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  16. 616

    Endoscopic Optical Coherence Tomography (OCT): Advances in Gastrointestinal Imaging by Tejas S. Kirtane, Mihir S. Wagh

    Published 2014-01-01
    “…In the rapidly evolving field of endoscopic gastrointestinal imaging, Optical Coherence Tomography (OCT) has found many diverse applications. …”
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  17. 617

    Optic Neuritis Caused by Rathke’s Cleft Cyst in Young Adult by Namie Kobayashi, Toshiyuki Oshitari, Kentaro Kobayashi, Takatsugu Onoda, Hidetoshi Ikeda, Emiko Adachi-Usami

    Published 2014-01-01
    “…We report a case of right optic neuritis caused by Rathke's cleft cyst (RCC) in a young adult. …”
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  18. 618

    Optical fiber eavesdropping detection method based on machine learning by Xiaolian CHEN, Yi QIN, Jie ZHANG, Yajie LI, Haokun SONG, Huibin ZHANG

    Published 2020-11-01
    “…Optical fiber eavesdropping is one of the major hidden dangers of power grid information security,but detection is difficult due to its high concealment.Aiming at the eavesdropping problems faced by communication networks,an optical fiber eavesdropping detection method based on machine learning was proposed.Firstly,seven-dimensions feature vector extraction method was designed based on the influence of eavesdropping on the physical layer of transmission.Then eavesdropping was simulated and experimental feature vectors were collected.Finally,two machine learning algorithms were used for classification detection and model optimization.Experiments show that the performance of the neural network classification is better than the K-nearest neighbor classification,and it can achieve 98.1% eavesdropping recognition rate in 10% splitting ratio eavesdropping.…”
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    Uniqueness, Born Approximation, and Numerical Methods for Diffuse Optical Tomography by Kiwoon Kwon

    Published 2013-01-01
    “…Diffuse optical tomogrpahy (DOT) is to find optical coefficients of tissue using near infrared light. …”
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