Networks-on-Chip: Architectures, Design Methodologies, and Case Studies by Sao-Jie Chen, An-Yeu Andy Wu, Jiang Xu

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Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation by Xieqi Chen, Jianhui Lin, Hang Jin, Andy Tan, Lei Yan

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Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study by Zhanxiong Wu, Jinhui Wu, Xumin Chen, Xun Li, Jian Shen, Hui Hong

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Impact of pharmacist-led medication review among hemodialysis patients: a systematic review by Ganesh Sritheran Paneerselvam, Chen Kah Yee, Muhammad Junaid Farrukh, Ana Yuda, Andi Hermansyah, Mohd. Fadli Mohd. Asmani, Ibrahim Abdullah, Long Chiau Ming

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First Results from the JWST Early Release Science Program Q3D: The Fast Outflow in a Red Quasar at z = 0.44 by Weizhe Liu, Sylvain Veilleux, Swetha Sankar, David S. N. Rupke, Nadia L. Zakamska, Dominika Wylezalek, Andrey Vayner, Caroline Bertemes, Yuzo Ishikawa, Yu-Ching Chen, Jenny E. Greene, Timothy Heckman, Guilin Liu, Hsiao-Wen Chen, Dieter Lutz, Sean D. Johnson, Nicole P. H. Nesvadba, Patrick Ogle, Nadiia Diachenko, Andy D. Goulding, Kevin N. Hainline, Fred Hamann, Hui Xian Grace Lim, Nora Lützgendorf, Vincenzo Mainieri, Ryan McCrory, Grey Murphree, Lu Shen, Eckhard Sturm, Lillian Whitesell

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IMA Genome - F16 by Brenda D. Wingfield, Lieschen De Vos, Andi M. Wilson, Tuan A. Duong, Niloofar Vaghefi, Angela Botes, Ravindra Nath Kharwar, Ramesh Chand, Barsha Poudel, Habibu Aliyu, Martin J. Barbetti, ShuaiFei Chen, Pieter de Maayer, FeiFei Liu, Sudhir Navathe, Shagun Sinha, Emma T. Steenkamp, Hiroyuki Suzuki, Kalonji A. Tshisekedi, Magriet A. van der Nest, Michael J. Wingfield

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Models for Processing Nighttime Light Data and Software Development by Yufeng Qu, Long Li, Xuqing Li, Runya Li, Man Liu, Yushuai Wei, Yongjian Huang

“…Moreover, to test the accuracy and robustness of the merged datasets, we compared the dataset with the corrected products of LiNTL and ChenNTL. The overall accuracy of the dataset in this study was 0.90, and the average of the normalized difference index (ANDI) was 0.046. …”
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