1,721,960 research outputs found

    Digital dissertation consortium

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    Huang Ji Ping."1st June, 2003."Thesis (Ph.D.)--Chinese University of Hong Kong, 2003.Includes bibliographical references (p. 125-134).Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.Mode of access: World Wide Web.Abstracts in English and Chinese

    Exploring Visualization Methods for Complex Variables

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    Applications of complex variables and related manifolds appear throughout mathematics and science. Here we review a family of basic methods for applying visualization concepts to the study of complex variables and the properties of specific complex manifolds. We begin with an outline of the methods we can employ to directly visualize poles and branch cuts as complex functions of one complex variable. CP2CP^2 polynomial methods and their higher analogs can then be exploited to produce visualizations of Calabi-Yau spaces such as those modeling the hypothesized hidden dimensions of string theory. Finally, we show how the study of N-boson scattering in dual model/string theory leads to novel cross-ratio-space methods for the treatment of analysis in two or more complex variables

    Fusarium citri-sinensis sp. nov. (Ascomycota: Nectriaceae) isolated from fruit of Citrus sinensis in China

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    Zhao, Lin, Wei, Xin, Huang, Cheng-Xin, Yi, Ji-Ping, Deng, Jian-Xin, Cui, Meng-Jiao (2022): Fusarium citri-sinensis sp. nov. (Ascomycota: Nectriaceae) isolated from fruit of Citrus sinensis in China. Phytotaxa 555 (3): 259-266, DOI: 10.11646/phytotaxa.555.3.5, URL: http://dx.doi.org/10.11646/phytotaxa.555.3.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    TMDT: Taiwan Indigenous Peoples’ Multidimensional Table Data 台灣原住民族多維表資料庫

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    Part research outcomes from TIPD at https://osf.io/e4rvz/ ** New publication: 1_Springer Nature Scocial Sciences entitled "Migration dynamics of hard-to-reach population in the context of regional disparities based on longitudinally linked register in Taiwan" at https://doi.org/10.1007/s43545-025-01049-1 or https://link.springer.com/article/10.1007/s43545-025-01049-1. 2_PDF Download URL : https://link.springer.com/content/pdf/10.1007/s43545-025-01049-1.pdf TMDT: Taiwan Indigenous Peoples’ Multidimensional Table Data 1_CopyLeft(L) 2013-2024, Council of Indigenous Peoples (https://www.cip.gov.tw/), Taiwan. 2_Acknowledgement: The reserach outcomes are part of research outcomes from the research program "Research on Contemporary Taiwan Indigenous Peoples" (https://osf.io/e4rvz/), which is mainly supported by Council of Indigenous Peoples in 2013-2022. The research is also granted by National Science and Technology Council, grant numbers: MOST 106-2420-H-001-008-MY2; MOST 106-2420-H-156-001-MY2; MOST 109-2420-H-001-003; MOST 109-2420-H-156-001; NSTC 112-2410-H-001-075-MY2. We appreciate some research grants from Academia Sinica. 3_誌謝:本計畫是"台灣原住民基礎開放研究資料庫" (TIPD, https://osf.io/e4rvz/) 部分成果,主要由原住民族委員會支援研究經費;國科會亦支持本計畫之相關計畫,計畫編號:MOST 106-2420-H-001-008-MY2; MOST 106-2420-H-156-001-MY2; MOST 109-2420-H-001-003; MOST 109-2420-H-156-001; NSTC 112-2410-H-001-075-MY2;我們亦感謝中研院支持部分研究經費。 4_連絡Contact E-mail: [email protected] 為何是CopyLEFT/Why CopyLEFT: "CopyLEFT (L)" is an effective way of building mutual trust that leads to mutual understanding, collaboration, and innovation. "CopyLeft(L)"是促進互信的有效方式,其公開特質將進一步促進相互理解、協同合作、及創新。 語言/Languages: TIPD is bilingual in English and traditional Chinese TIPD以雙語資訊呈現,包括英文及繁體中文 資料來源引用 Citation of data source: If TIPD helps overcoming data & information constraints in your research & work, please kindly acknowledge TIPD's contribution. We will be highly encouraged! 如果TIPD對您研究工作有助益,請不吝引用或說明為研究資料來源,這對我們是另種形式鼓勵! 連絡方式及通報錯誤/Contact and report errata: E-mail: [email protected] 電子郵件: [email protected] 《當代台灣原住民族:堅毅不屈,燦爛花開》 1940年至2000年間,台灣原住民族資料變的相當稀缺,這不僅使得台灣原住民各類發展被邊緣化,亦使原住民在台灣逐漸”被消失”。2000年戶口及住宅普查再度恢復原住民普查是為重大里程碑,但2010年後台灣實質人口普查已不復存在,陳年問題依舊無解。為解決原住民基礎資料缺乏問題,原住民族委員會自2013 ~ 2022計十年,不預設立場及充份尊重學術專業獨立及自主性,給與研究計畫支持。感謝十年研究期間三位主任委員支持:孫大川(計畫推動者)、林江義、及夷將.拔路兒。計畫實際執行期間,行政支援及協調最大貢獻者,為原民會綜合規劃處王瑞盈前處長,若無他專業支援及豐富行政經驗,本計畫實難以順利進行,研究團隊在這裡公開對王前處長表示衷心感謝。 計畫主持人亦感謝共同主持人李明政教授,兩人十年合作的默契及情誼。這十年期間,原民會在研究經費、資料、計算機硬體設備、及行政給予大力協助,國科會亦給予多年期研究經費支持,使研究團隊終能放手一博,不再受限資料及計算設備匱乏限制。主持人在2013年已深知這是非常難得機會,錯過將不復返,因此這十年期間全心投入,以科學計算技術和資料科學學理,運用高效能及超級運算設備,全力投入原住民基礎研究,建立各類大型開放資料庫,且不設任何限制開放供國內外自由使用(參考TIPD: 台灣原住民基礎開放研究資料庫 https://osf.io/e4rvz/)。 這研究採用的方法及技術非常先進,成果早已受到國際重要學研單位注意。國際著名"開放科學研究中心" (COS, Center for Open Science,參考 https://www.cos.io/ 及簡介 https://www.cos.io/about ),主動連繫及邀請主持人進行視訊專訪,訪談內容是有關當代台灣原住民及原住民基礎開放研究資料庫之研究緣起、過程、方法、影響、未來發展,及過去15年,及研究如何用開放資料、開放科學、及科學計算,使"瀕臨消失"被邊緣化的台灣原住民,如何重新浮上抬面及成為顯性人口。COS將訪談內容整理以文字稿公布,閱讀者為全球專家,因此影響深遠,訪問稿原文連結網址如下:https://www.cos.io/blog/taiwan-indigenous-peoples?hs_preview=QUOrJLoo-176808682520 COS設計及完成之"開放科學架構"(OSF, Open Science Framework, 參考 https://osf.io/ ),目前是全球研究計畫最大註冊中心,超過60萬全球研究人員在此登記註冊。放在OSF的TIPD就是COS最重要架構,目前已是全球最大開放科學及研究計晝註冊單位,影響力相當大。2013計晝剛開始時,COS也才剛成立,OSF架構亦在草創階段,2015年初我決定將都原計晝重要產出TIPD放在OSF時,當時全球也才只有五百多個研究計晝放在OSF公開;主持人在OSF草創階段,以TIPD放在OSF之經驗,至少有四年時間主持人亦同時幫OSF提出架構如何改善及建議,和OSF合作密切,所以他們也深知原民會支持之研究計晝和TIPD研究通程,TIPD和OSF可謂是同步成長。 十年尚難磨一劍,完成基礎研究及克服核心問題後,真正重頭戲才要開始。很榮幸及欣慰能再次將台灣原住民,全面推向國際舞台! 當代台灣原住民相關資料 Related Projects TIPs on OSF: 1. Lin, Ji-Ping, Ming-Cheng Lee, Hiu Ha Chong, Li-Chuan Liu, Kui Kasirisir, and HSIN-CHUNG WANG. 2024. “TIPD: Taiwan Indigenous Peoples Open Research Data 台灣原住民基礎開放研究資料庫.” OSF https://osf.io/e4rvz/. May 8. doi:10.17605/OSF.IO/E4RVZ. 2. Lin, Ji-Ping. 2024. “TPDD: Taiwan Indigenous Peoples Population Dynamics Open Data 台灣原住民族人口動態開放資料.” OSF https://osf.io/ukjgs/. May 7. doi:10.17605/OSF.IO/UKJGS. 3. Lin, Ji-Ping. 2024. “TMDT: Taiwan Indigenous Peoples’ Multidimensional Table Data 台灣原住民族多維表資料庫.” OSF https://osf.io/a23ec/ . May 7. doi:10.17605/OSF.IO/A23EC. 4. Lin, Ji-Ping. 2024. “TICT: Taiwan Indigenous Peoples’ Contingency Tables 台灣原住民族基礎列聯表.” OSF https://osf.io/9nrwd/. May 7. doi:10.17605/OSF.IO/9NRWD. 5. Lin, Ji-Ping. 2024. “TIHD: Taiwan Indigenous Peoples Household Structure Open Data 台灣原住民族家戶結構基礎開放資料庫.” OSF https://osf.io/zbwek. May 7. doi:10.17605/OSF.IO/ZBWEK. 6. Lin, Ji-Ping. 2024. “TICD: Taiwan Indigenous Communities Open Data 台灣原住民族部落開放資料庫.” OSF https://osf.io/esw67/. May 7. doi:10.17605/OSF.IO/ESW67. 7. Lin, Ji-Ping. 2024. “iqTICD: Integrated Query System of Taiwan Indigenous Community Open Data 台灣原住民族部落開放資料庫綜合查詢系統.” OSF https://osf.io/rfe6p/. May 7. doi:10.17605/OSF.IO/RFE6P. 8. Lin, Ji-Ping. 2024. “TIHV: Taiwan Indigenous People’s High-Resolution Visualization of Population Distribution, Migration Dynamics, Traditional Communities by Ethnic Groups 當代台灣原住民高解析度視覺化圖形資料庫:人口分布、遷徙、傳統部落.” OSF https://osf.io/v8zk3/. May 8. doi:10.17605/OSF.IO/V8ZK3. 9. Lin, Ji-Ping. 2024. “TIMD: Taiwan Indigenous Peoples Migration Dynamics 台灣原住民各族群遷徙動態.” OSF https://osf.io/6rpz9/. May 7. doi:10.17605/OSF.IO/6RPZ9. 10. Lin, Ji-Ping. 2024. “iqTICD on Google: Taiwan Indigenous Communities Open Data Query System on Google 台灣原住民族部落開放資料庫Google綜合查詢系統.” Google https://www.google.com/maps/d/u/0/edit?mid=1M6FE6vKd212udjTvvWmFsaKavB_3TpF7&ll=23.678779780141927%2C120.89717315782033&z=6 11. Migration dynamics of hard-to-reach population in the context of regional inequality: Longitudinal research in Taiwan https://osf.io/bs39t/ Introduction Introduction: Legal and ethical issues are a top priority in academic research. Building open data is not a goal of the joint research program at its initial stage. However, one crucial question is: why does the joint research program bother to build TIPD? It all comes from concerns about privacy, confidentiality, legal, and ethical issues. Because only the PI is allowed to access the micro individual data sets and not all research team members are specialized in coping with complex issues of raw data and/or in conducting scientific computing, it becomes urgent to design a way that allows massive raw data sets to be processed and transformed to a set of data in a systematic and automated way. To overcome the aforementioned challenges and issues, I design a method by reorganizing information of complex source data into a simple multi-dimensional table to overcome ethic and legal issues as well as privacy protection. All computing tasks are conducted in a closed, supervised data lab of the government funding agency (1) to extract valuable info embedded in confidential micro data of the household registration system, and (2) to enrich extracted info through the processes of cleaning, cleansing, crunching, reorganizing, and reshaping the source data to produce a number of data sets that contain no individual info and thus can be opened to the public to promote open administrative data analytics study. To build TIPD big archival data, the research builds automated data processing procedures. The transformed new sets of data must fit two criteria: first, they must preserve the main features and most information embedded in raw data; second, they must resolve privacy, confidentiality, and thus legal issues; third, they must comply with academic research ethical requirements. With such issues revolved, the built data sets fit the criteria of open data and thus can be utilized directly by the research team members. Because the built open TIPD data sets have been proven effective in promoting the efficiency of the joint research program, the author thus decided to open TIPD to the public, a ray of hope in promoting efficiency, collaboration, mutual trust, and transparency in Taiwan Indigenous Peoples studies. That is why “CopyLeft(L)” is highlighted as a main feature of TIPD. To create open data, the author decided to adopt “old-school” multi-dimensional tables (MDTs), as illustrated in Figure 1, as a simple but effective alternative to protect privacy while keeping the embedded information of source data sets nearly intact. The foundation of MDTs essentially resembles that of modern distributed storage/processing systems like Google’s, Apache Hadoop, etc.. The main reasons for adopting the MDT method are twofold. First, the learning curve of modern distributed file/storage/computing systems is very demanding for team members. Second, building TIPD does not require such a complex system. Fortunately, by reviewing the foundation of the aforementioned contemporary distributed file/storage/computing systems, the author found that their foundation resembles that of classical “old-school” multi-dimensional tables that have been used by, e.g., Statistics Canada and the US Census Bureau for a very long period. As a result, the research adopts conventional multi-dimensional tables as a means for “distributed data storage” and “centralized data integration”

    E4_paper_suppl_figs_xyz1348068aa41d3_(1) – Supplemental material for Pro-Apoptotic Effects of Estetrol on Long-Term Estrogen-Deprived Breast Cancer Cells and at Low Doses on Hormone-Sensitive Cells

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    Supplemental material, E4_paper_suppl_figs_xyz1348068aa41d3_(1) for Pro-Apoptotic Effects of Estetrol on Long-Term Estrogen-Deprived Breast Cancer Cells and at Low Doses on Hormone-Sensitive Cells by Wei Yue, Carole Verhoeven, Herjan Coelingh Bernnink, Ji-ping Wang and Richard J Santen in Breast Cancer: Basic and Clinical Research</p

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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