1,903 research outputs found

    Some Weighted Hardy-type Inequalities of Vector-Valued Functions

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    By adopting the C-technique of Cheung and Pečrić, we establish some interesting weighted Hardy-type inequalities of vector-valued functions. These generalize and improve some existing results of Cheung, Cheung-Hanjš-Pēcarić, Hanjš-Love-Pečarić, Levinson, and Pachpatte. [ABSTRACT FROM AUTHOR

    A Tutorial on Fitting Flexible Meta-Analytic Models with Structural Equation Modeling in R

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    There are various statistical models with different features and assumptions in meta-analysis. Popular models are, for example, the fixed-effect (or common effect), random-effects, and mixed-effects models. Apart from these models, several alternative models, such as the multiplicative error model (unrestricted weighted least squares model), the hybrid of additive and multiplicative error models, and the location-scale model, have been proposed in the literature. Understanding these models can be challenging for researchers without a solid mathematical background. Implementing or modifying these models is even more challenging for researchers unless they have advanced statistical and programming knowledge. This tutorial elucidates a structural equation modeling (SEM) framework to understand these models. Several R packages are introduced to facilitate the specifications and generation of graphical models for these meta-analytic models. More importantly, researchers may use the full information maximum likelihood (FIML) estimation method to fit these models. This holds significant potential across two domains. First, it can be used as an educational tool in teaching and learning meta-analytic models. Second, the framework supports developing and evaluating novel meta-analytical models, which have not yet been implemented in current meta-analysis software, fostering advancements in meta-analytic methods. This tutorial also demonstrates with three real datasets how to extend it to address research questions involving complicated meta-analytic models, including nonlinear models, multivariate meta-analysis, and meta-analytic structural equation modeling (MASEM). Limitations and future directions to extend the SEM-based meta-analysis are discussed

    Air pollution and cyclists

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    The chapter, "Air pollution and cyclists" was written by the listed authors including Luisa V. Giles (Douglas College Faculty). Finally, the authoritative resource that serious cyclists have been waiting for has arrived. The perfect blend of science and application, Cycling Science takes you inside the sport, into the training room and research lab, and onto the course. A remarkable achievement, Cycling Science features the following: • Contributions from 43 top cycling scientists and coaches from around the world • The latest thinking on the rider-machine interface, including topics such as bike fit, aerodynamics, biomechanics, and pedaling technique • Information about environmental stressors, including heat, altitude, and air pollution • A look at health issues such as on-bike and off-bike nutrition, common injuries, fatigue, overtraining, and recovery • Help in planning training programs, including using a power meter, managing cycling data, off-the-bike training, cycling specific stretching, and mental training • The latest coaching and racing techniques, including pacing theories, and strategies for road, track, MTB, BMX, and ultra-distance events In this book, editors and cycling scientists Stephen Cheung, PhD, and Mikel Zabala, PhD, have assembled the latest information for serious cyclists.book chapterPublished

    汉英同传中删减与增译现象的案例分析

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    Author name used in this publication: 张其帆, Cheung Kay-fan AndrewTitle in Traditional Chinese: 漢英同傳中刪減與增譯現象的案例分析Journal title in Traditional Chinese: 中國翻譯2011-2012 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishedVoR allowe

    Xin li ji jiu yu wei ji shi jian he zai nan zhong zuo wei gong gong wei sheng zai nan ying dui zhun bei de ce lüe

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    Cheung, Yee Lai.Thesis Ph.D. Chinese University of Hong Kong 2014.Includes bibliographical references (leaves 193-207).Abstracts and some appendixes also in Chinese.Title from PDF title page (viewed on 02, December, 2016).Cheung, Yee Lai

    Characterization of Human Papillomavirus Type 58 E7 Protein Variant T20I/G63S

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    Cheung, Pui Yiu Grace.Thesis M.Phil. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)

    Minority Media Production Practices and Cultural Citizenship in Hong Kong

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    Chong, Cheung Kwan Cindy.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)

    Directed Multigraph of Networks

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    Cheung, King Chau.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)

    Synthetic Studies of Curved Heptagon-embedded Polycyclic Arenes

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    Cheung, Kwan Yin.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)

    SaccpaNet : a separable atrous convolution-based cascade pyramid attention network to estimate body landmarks using cross-modal knowledge transfer for under-blanket sleep posture classification

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    202509 bchyVersion of RecordRGCOthersThis work was supported in part by General Research Fund (GRF) from the University Grants Committee of Hong Kong under Grants PolyU15223822, and in part by the Research Institute for Smart Ageing of The Hong Kong Polytechnic University under Grants P0039001. Andy Yiu-Chau Tam and Ye-Jiao Mao are co-first authors. Duo Wai-Chi Wong and James Chung-Wai Cheung contributed equally to this work. (Corresponding author: Duo Wai-Chi Wong, James Chung-Wai Cheung) Andy Yiu-Chau Tam and James Chung-Wai Cheung are with the Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China, and Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong 999077, China ([email protected]; [email protected]).Early releaseC
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