786 research outputs found

    A Cross-linguistic Form and Meaning Priming Study on Mandarin Chinese Multilingual Speakers

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    Linguistics - Master's ThesisMAHF-LINGLING35

    Trimmed Mean Group Estimation of Average Treatment Effects in Ultra Short T Panels under Correlated Heterogeneity

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    Under correlated heterogeneity, the commonly used two-way fixed effects estimator is biased and can lead to misleading inference. This paper proposes a new trimmed mean group (TMG) estimator which is consistent at the irregular rate of n^{1/3} even if the time dimension of the panel is as small as the number of its regressors. Extensions to panels with time effects are provided, and a Hausman-type test of correlated heterogeneity is proposed. Small sample properties of the TMG estimator (with and without time effects) are investigated by Monte Carlo experiments and shown to be satisfactory and perform better than other trimmed estimators proposed in the literature. The proposed test of correlated heterogeneity is also shown to have the correct size and satisfactory power. The utility of the TMG approach is illustrated with an empirical application

    ハイブリッドペプチドを用いたInterleukin-4 Receptor αを標的とした効果的な抗癌療法

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    京都大学0048新制・課程博士博士(医学)甲第18157号医博第3877号新制||医||1003(附属図書館)31015京都大学大学院医学研究科医学専攻(主査)教授 武藤 学, 教授 清水 章, 教授 生田 宏一学位規則第4条第1項該当Doctor of Medical ScienceKyoto UniversityDFA

    Advances in Bioreactor Scale-Down Modeling Using Process Analytical Technology

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    A bioreactor scale-down model is an essential element in process development and commercialization. In this poster presentation, key strategies in bioreactor scale-down model development and characterization will be discussed. A 4-Liter bioreactor scale-down model was developed to emulate a 15,000-Liter commercial scale bioreactor. Mass transfer characterization studies were conducted for the 15,000-Liter bioreactor, from which the results were summarized and utilized to guide scale-down model development / characterization. Case studies are shown where scale-down model representativeness is enhanced by implementing PAT. Specifically, automated dissolved carbon dioxide (pCO2) control was implemented during scale-down model development in order to establish a more representative scale-down model. Establishing pCO2 control with a feedback control loop significantly enhanced the ability of the scale-down bioreactor model to perform comparably with the 15,000 L commercial bioreactor

    The utilization of paper-level classification system on the evaluation of journal impact

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    CAS Journal Ranking, a ranking system of journals based on the bibliometric indicator of citation impact, has been widely used in meso and macro-scale research evaluation in China since its first release in 2004. The ranking's coverage is journals which contained in the Clarivate's Journal Citation Reports (JCR). This paper will mainly introduce the upgraded version of the 2019 CAS journal ranking. Aiming at limitations around the indicator and classification system utilized in earlier editions, also the problem of journals' interdisciplinarity or multidisciplinarity, we will discuss the improvements in the 2019 upgraded version of CAS journal ranking (1) the CWTS paper-level classification system, a more fine-grained system, has been utilized, (2) a new indicator, Field Normalized Citation Success Index (FNCSI), which ia robust against not only extremely highly cited publications, but also the wrongly assigned document type, has been used, and (3) the calculation of the indicator is from a paper-level. In addition, this paper will present a small part of ranking results and an interpretation of the robustness of the new FNCSI indicator. By exploring more sophisticated methods and indicators, like the CWTS paper-level classification system and the new FNCSI indicator, CAS Journal Ranking will continue its original purpose for responsible research evaluation

    Improved bacterial foraging optimization for structural damage identification of bridge erecting machine

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    Aiming at structure damage characteristics of bridge erecting machine, a vibration-based identification model of structural damage acted as a constrained problem is established. In view of the crack damage, the natural frequency of vibration signal and modal assurance criterion is as the index of damage detection, and then an improved bacterial foraging optimization (NBFO) based on the chemotaxis strategy with normal distribution is proposed, meanwhile it is applied to optimizing the identification model of structural damage. Finally using the girder of TLJ900 bridge erecting machine as an example, the simulation results show that the proposed method can more accurately judge the damage position and degree of structure than its counterparts

    Developing rAAV production platform with enhanced productivity, scalability and biosafety

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