27,780 research outputs found

    Yanbo Lin's landscape fan painting - 林彥博山水扇面畫

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    Yanbo Lin, born in Hebei, China, excelled in finger paintings. He learned from Xiling Liu (a renowned finger painter in the late Qing dynasty) and published several books regarding technique of finger painting.林彥博,字嵩堃,河北人。擅指画,曾為聾道人(劉錫玲,晚清指畫家)學生。著有「指畫著」、「續指頭畫说」。Postscript: dedication to Runxiang; Signature: Yanbo Pian Hen.款識: 潤庠先生雅正, 彥博片痕.Gongbo公

    Supplementary_file – Supplemental material for Evaluating Tourism Market Regulation from Tourists’ Perspective: Scale Development and Validation

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    Supplemental material, Supplementary_file for Evaluating Tourism Market Regulation from Tourists’ Perspective: Scale Development and Validation by Yixue Liu, Yanbo Yao and Daisy X.F. Fan in Journal of Travel Research</p

    Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions

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    This paper explores predictive regression models with stochastic unit root (STUR) components and robust inference procedures that encompass a wide class of persistent and time-varying stochastically nonstationary regressors. The paper extends the mechanism of endogenously generated instrumentation known as IVX, showing that these methods remain valid for short and long-horizon predictive regressions in which the predictors have STUR and local STUR (LSTUR) generating mechanisms. Both mean regression and quantile regression methods are considered. The asymptotic distributions of the IVX estimators are new and require some new methods in their derivation. The distributions are compared to previous results and, as in earlier work, lead to pivotal limit distributions for Wald testing procedures that remain robust for both single and multiple regressors with various degrees of persistence and stochastic and fixed local departures from unit roots. Numerical experiments corroborate the asymptotic theory, and IVX testing shows good power and size control. The IVX methods are illustrated in an empirical application to evaluate the predictive capability of economic fundamentals in forecasting S\&P 500 excess returns

    Liu Kang

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    Liu Kang: Essays on Art and Culture is a testament to the inexorable passion of an artist who knew no boundaries. This collection of essays, which Liu Kang wrote over 44 years, offers an insight into the artist’s myriad interests as well as his contributions as a first generation Nanyang artist and art educator. Translated into English for this volume, Liu Kang’s essays are accompanied by commentaries and photographs of the artist-author and his subjects

    sj-pdf-1-trj-10.1177_00405175221144086 - Supplemental material for Cross-electrospun PVDF/PVDF-HFP nanofibrous membrane with central combination design and its waterproof and moisture permeable composite fabric

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    Supplemental material, sj-pdf-1-trj-10.1177_00405175221144086 for Cross-electrospun PVDF/PVDF-HFP nanofibrous membrane with central combination design and its waterproof and moisture permeable composite fabric by Yanbo Liu, Xinyu Zhu, Yunxia Chen, Cong Zhou, Zhijun Chen, Ming Hao, Xiaodong Hu and Bo Yang in Textile Research Journal</p

    Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted UAV communications

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    A novel air-to-ground communication paradigm is conceived, where an unmanned aerial vehicle (UAV)-mounted base station (BS) equipped with multiple antennas sends information to multiple ground users (GUs) with the aid of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). In contrast to the conventional RIS whose main function is to reflect incident signals, the STAR-RIS is capable of both transmitting and reflecting the impinging signals from either side of the surface, thereby leading to full-space 360 degree coverage. However, the transmissive and reflective capabilities of the STAR-RIS require more complex transmission/reflection coefficient design. Therefore, in this work, a sum-rate maximization problem is formulated for the joint optimization of the UAV’s trajectory, the active beamforming at the UAV, and the passive transmission/reflection beamforming at the STAR-RIS. This cutting-edge optimization problem is also subject to the UAV’s flight safety, to the maximum flight duration constraint, as well as to the GUs’ minimum data rate requirements. Given the unknown locations of obstacles prior to the UAV’s flight, we provide an online decision making framework employing reinforcement learning (RL) to simultaneously adjust both the UAV’s trajectory as well as the active and passive beamformer. To enhance the system’s robustness against the associated uncertainties caused by limited sampling of the environment, a novel “distributionally-robust” RL (DRRL) algorithm is proposed for offering an adequate worst-case performance guarantee. Our numerical results unveil that: 1) the STAR-RIS assisted UAV communications benefit from significant sum-rate gain over the conventional reflecting-only RIS; and 2) the proposed DRRL algorithm achieves both more stable and more robust performance than the state-of-the-art RL algorithms

    sj-docx-1-anp-10.1177_00048674211031477 – Supplemental material for Combinatorial panel with endophenotypes from multilevel information of diffusion tensor imaging and lipid profile as predictors for depression

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    Supplemental material, sj-docx-1-anp-10.1177_00048674211031477 for Combinatorial panel with endophenotypes from multilevel information of diffusion tensor imaging and lipid profile as predictors for depression by Juan Liu, Zhuang Liu, Yange Wei, Yanbo Zhang, Fay Y Womer, Duan Jia, Shengnan Wei, Feng Wu, Lingtao Kong, Xiaowei Jiang, Luheng Zhang, Yanqing Tang, Xizhe Zhang and Fei Wang in Australian & New Zealand Journal of Psychiatry</p

    Phoebus 10: A Journal of Art History

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    tableOfContents: Homage to the Past: The Art of Yin Xiaofeng by Ralph Gabbard and Liu Liu.. pages 5-1
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