54,653 research outputs found

    Lin, Chia-Chin (Amy)

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    Chia-Chen Liu Piano Recital Program Notes

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    This thesis is the program notes of Chia-Chen Liu\ue2s piano recital held at the National Sun Yat-sen University on May 27, 2020. The recital program includes the works of four different composers, namely Fr\uc3\ua9d\uc3\ua9ric Chopin\ue2s Nocturne in F Major, Op. 15 No. 1, Nocturne in B Major, Op. 62 No. 1 and Nocturne in E Major, Op. 62 No. 2; Wolfgang Amadeus Mozart\ue2s Fantasia in C Minor, K. 475; Sergei Bortkiewicz\ue2s Elegie, Op. 46 and Fanny Hensel geb. Mendelssohn\ue2s \u27June, July, August, September, October \u27, from "Das Jahr". The program notes will introduce how the four composers created unique works in different time and space

    Solving the Author Problem of \ue2Dream of the Red Chamber\ue2 with the Writing Style Indicator

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    The question of whether the number of authors of \ue2Dream of the Red Chamber\ue2 is only one or not has been discussed extensively since 1750. To clarify the number of authors of the book, in this thesis, we take some ideas of previous studies and conduct experiments with machine learning classifiers with various features (word count, word frequency, sentence pattern, change points, etc.). Finally, we find that feature selection is more important than a classifier itself. We figure out the property for revealing the nature of the writing habits of different authors, and formulating the writing style categories. We use CkipTagger of Academia Sinica in Taiwan to break words and give word-based labels, and then organize 61 kinds of words into 45 writing style categories. Our writing style categories could correctly distinguish the same type of books of different authors, but it is difficult to distinguish the same type of books of the same author. This result means that our writing style categories could correctly analyze the writing styles and distinguish the habits of different authors. In addition, to test the effectiveness of the writing style categories, we apply SVM (support vector machine) classifier and Tanimoto similarity to the experiments on the same type of books of the same author. The result shows that the writing style categories is more stable than other features. Then we perform three experiments of the same author from same books, the same author from different books, and different authors. These are carried out for 42 control group novels. Then the corresponding SVM accuracy and Tanimoto value range are obtained as the writing style indicator. Finally, we perform the same experiments on the first 80 episodes and the last 40 episodes of \ue2Dream of the Red Chamber\ue2. According to the experimental results, we conclude that the question of whether there is one or more than one authors in the entire book of \ue2Dream of the Red Chamber\ue2 is inconclusive. We cannot prove that there is only one author, and we cannot prove that there are multiple authors either. Based on this study, we develope a web application that compares the writing style similarity of the two texts on the following website: http://par48.cse.nsysu.edu.tw:300

    Dataset supporting publication "Femtosecond thulium fiber laser utilizing a gain-switched laser diode"

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    This dataset supports the publication: Femtosecond thulium fiber laser utilizing a gain-switched laser diode AUTHORS: Ibrahim H. Abughazaleh, Matthew D. Gerard, Panuwat Srisamran, Duanyang Xu, Yongmin Jung, and Lin Xu TITLE:Femtosecond thulium fiber laser utilizing a gain-switched laser diode JOURNAL: optics letters PAPER DOI IF KNOWN: https://doi.org/10.1364/OL.564071</span

    sj-pdf-2-mdm-10.1177_0272989X241227230 – Supplemental material for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry

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    Supplemental material, sj-pdf-2-mdm-10.1177_0272989X241227230 for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry by Enoch Yi-Tung Chen, Yuliya Leontyeva, Chia-Ni Lin, Jung-Der Wang, Mark S. Clements and Paul W. Dickman in Medical Decision Making</p

    sj-pdf-5-mdm-10.1177_0272989X241227230 – Supplemental material for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry

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    Supplemental material, sj-pdf-5-mdm-10.1177_0272989X241227230 for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry by Enoch Yi-Tung Chen, Yuliya Leontyeva, Chia-Ni Lin, Jung-Der Wang, Mark S. Clements and Paul W. Dickman in Medical Decision Making</p

    sj-pdf-3-mdm-10.1177_0272989X241227230 – Supplemental material for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry

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    Supplemental material, sj-pdf-3-mdm-10.1177_0272989X241227230 for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry by Enoch Yi-Tung Chen, Yuliya Leontyeva, Chia-Ni Lin, Jung-Der Wang, Mark S. Clements and Paul W. Dickman in Medical Decision Making</p

    sj-pdf-4-mdm-10.1177_0272989X241227230 – Supplemental material for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry

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    Supplemental material, sj-pdf-4-mdm-10.1177_0272989X241227230 for Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry by Enoch Yi-Tung Chen, Yuliya Leontyeva, Chia-Ni Lin, Jung-Der Wang, Mark S. Clements and Paul W. Dickman in Medical Decision Making</p
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