17,956 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
A sensor for stiffness change sensing based on three weakly coupled resonators with enhanced sensitivity
No full textThis paper reports on a novel MEMS resonant sensing device consisting of three weakly coupled resonators that can achieve an order of magnitude improvement in sensitivity to stiffness change, compared to current state-of-the-art resonator sensors with similar size and resonant frequency. In a 3 degree-of-freedom (DoF) system, if an external stimulus causes change in the spring stiffness of one resonator, mode localization occurs, leading to a drastic change of mode shape, which can be detected by measuring the modal amplitude ratio change. A 49 times improvement in sensitivity compared to a previously reported 2DoF resonator sensor, and 4 orders of magnitude enhancement compared to a 1DoF resonator sensor has been achieved
Chao Yuen Ren (1892–1982)
No full textY. R. Chao is easily the most famous linguist to have come out of China. Born before the end of the last dynasty in China, he received a traditional Confucian education, but was also one of the first Chinese people to be sent to the West for training in modern Western science (under the Boxer Indemnity Fund). The remarkable breadth and scope of his studies included physics, mathematics, linguistics, musical and literary composition, and translation, and he was a pioneer in many of these fields
Ziyang Zhao, Pu Bao, Renee Chiang, Adi Ignatius (eds.): Prisoner of the State. The Secret Journal of Chinese Premier Zhao Ziyang, London-Sydney, Simon & Schuster, 2009. XXV, 306 p. – ISBN 978-1-4391-4938-6
No full textZiyang Zhao, Pu Bao, Renee Chiang, Adi Ignatius (eds.): Prisoner of the State. The Secret Journal of Chinese Premier Zhao Ziyang, London-Sydney, Simon & Schuster, 2009. XXV, 306 p. – ISBN 978-1-4391-4938-6
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Prisoner of the state ::the secret journal of Zhao Ziyang /
No full textGives readers a front row seat to the secret inner workings of China's government. It is the story of Premier Zhao Ziyang, who tried to stop the Tiananmen Square massacre in 1989, and was dethroned for his efforts
Raw data of Zhao et al., 2022, Geoderma
No full textRaw data associated with Zhao et al., 2022, Geoderma. Any use of the data set should be approved by the corresponding author Kai Yue at "[email protected]".</p
A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles
No full textHybrid electric vehicles employ a hybrid propulsion system to combine the energy efficiency of electric motor and a long driving range of internal combustion engine, thereby achieving a higher fuel economy as well as convenience compared with conventional ICE vehicles. However, the relatively complicated powertrain structures of HEVs necessitate an effective power management policy to determine the power split between ICE and EM. In this work, we propose a deep reinforcement learning framework of the HEV power management with the aim of improving fuel economy. The DRL technique is comprised of an offline deep neural network construction phase and an online deep Q-learning phase. Unlike traditional reinforcement learning, DRL presents the capability of handling the high dimensional state and action space in the actual decision-making process, making it suitable for the HEV power management problem. Enabled by the DRL technique, the derived HEV power management policy is close to optimal, fully model-free, and independent of a prior knowledge of driving cycles. Simulation results based on actual vehicle setup over real-world and testing driving cycles demonstrate the effectiveness of the proposed framework on optimizing HEV fuel economy
Corrigendum: Coral reefs of Pakistan: a comprehensive review of anthropogenic threats, climate change, and conservation status
No full textIn the published article, there was an error in the author list, and author Pu Guo was erroneously excluded as co-first author. The corrected author list appears below. “Ishfaq Ahmad1,2†, Pu Guo1†, Mei-Xia Zhao1,3*, Yu Zhong1, Xiao-Yun Zheng1,2, Shu-Qi Zhang1,2, Jian-Wen Qiu4,5, Qi Shi1, Hong-Qiang Yan1, Shi-Chen Tao1 and Li-Jia Xu6†These authors share first authorship” The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated. Copyright © 2024 Ahmad, Guo, Zhao, Zhong, Zheng, Zhang, Qiu, Shi, Yan, Tao and Xu
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