Water-resonator-based metasurface : an ultrabroadband and near-unity absorption by Song, Qinghua, Zhang, Wu, Wu, Pin Chieh, Zhu, Weiming, Shen, Zhong Xiang, Chong, Peter Han Joo, Liang, Qing Xuan, Yang, Zhen Chuan, Hao, Yi Long, Cai, Hong, Zhou, Hai Feng, Gu, Yuandong, Lo, Guo-Qiang, Tsai, Din Ping, Bourouina, Tarik, Leprince-Wang, Yamin, Liu, Ai-Qun

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Observation of flat bands and Dirac cones in a pyrochlore lattice superconductor by Huang, Jianwei, Setty, Chandan, Deng, Liangzi, You, Jing-Yang, Liu, Hongxiong, Shao, Sen, Oh, Ji Seop, Guo, Yucheng, Zhang, Yichen, Yue, Ziqin, Yin, Jia-Xin, Hashimoto, Makoto, Lu, Donghui, Gorovikov, Sergey, Dai, Pengcheng, Denlinger, Jonathan D., Allen, J. W., Hasan, M. Zahid, Feng, Yuan-Ping, Birgeneau, Robert J., Shi, Youguo, Chu, Ching-Wu, Chang, Guoqing, Si, Qimiao, Yi, Ming

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Macroscopic assembled graphene nanofilms based room temperature ultrafast mid-infrared photodetectors by Peng, Li, Liu, Lixiang, Du, Sichao, Bodepudi, Srikrishna Chanakya, Li, Lingfei, Liu, Wei, Lai, Runchen, Cao,Xiaoxue, Fang, Wenzhang, Liu, Yingjun, Liu, Xinyu, Lv, Jianhang, Abid, Muhammad, Liu, Junxue, Jin, Shengye, Wu, Kaifeng, Lin, Miao-Ling, Cong, Xin, Tan, Ping-Heng, Zhu, Haiming, Xiong, Qihua, Wang, Xiaomu, Hu, Weida, Duan, Xianfeng, Yu, Bin Yu, Xu, Zhen, Xu, Yang, Gao, Chao

“…The assembled Schottky diode works in 1.5–4.0 μm at room temperature with fast response (20–30 ns, rising time, 4 mm2 window) and high detectivity (1.6 × 1011 to 1.9 × 109 Jones from 1.5 to 4.0 μm) under the pulsed laser, outperforming single-layer-graphene/silicon photodetectors by 2–8 orders. …”
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Northern gene flow into southeastern East Asians inferred from genome-wide array genotyping by He, Guang-Lin, Li, Ying-Xiang, Zou, Xing, Yeh, Hui-Yuan, Tang, Ren-Kuan, Wang, Pei-Xin, Bai, Jing-Ya, Yang, Xiao-Min, Wang, Zheng, Guo, Jian-Xin, Chen, Jin-Wen, Chen, Jing, Yang, Mei-Qing, Zhao, Jing, Sun, Jin, Zhu, Kong-Yang, Ma, Hao, Wang, Rui, Yang, Wen-Jiao, Hu, Rong, Wei, Lan-Hai, Hou, Yi-Ping, Wang, Meng-Ge, Chen, Gang, Wang, Chuan-Chao

“…The southeastern Han Chinese could be modeled with the primary ancestry deriving from the group related to the Yellow River Basin millet farmers and the remaining from groups related to rice farmers, which was consistent with the northern China origin of modern southeastern Han Chinese and in line with the historically and archaeologically attested southward migrations of Han people and their ancestors. …”
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Ultrahigh electromechanical response from competing ferroic orders by Lin, Baichen, Ong, Khuong Phuong, Yang, Tiannan, Zeng, Qibin, Hui, Hui Kim, Ye, Zhen, Sim, Celine, Yen, Zhihao, Yang, Ping, Dou, Yanxin, Li, Xiaolong, Gao, Xingyu, Tan, Ivan Chee Kiang, Lim, Zhi Shiuh, Zeng, Shengwei, Luo, Tiancheng, Xu, Jinlong, Tong, Xin, Li, Patrick Wen Feng, Ren, Minqin, Zeng, Kaiyang, Sun, Chengliang, Ramakrishna, Seeram, Breese, Mark B. H., Boothroyd, Chris, Lee, Chengkuo, Singh, David J., Lam, Yeng Ming, Liu, Huajun

“…These films show effective piezoelectric coefficients above 5,000 pm V-1 because of electric-field-induced antiferroelectric-ferroelectric phase transitions. …”
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Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation by Li, Guoliang, Ruan, Xiaoan, Auerbach, Raymond K., Sandhu, Kuljeet Singh, Zheng, Meizhen, Wang, Ping, Poh, Huay Mei, Goh, Yufen, Lim, Joanne, Zhang, Jingyao, Sim, Hui Shan, Peh, Su Qin, Mulawadi, Fabianus Hendriyan, Ong, Chin Thing, Orlov, Yuriy L., Hong, Shuzhen, Zhang, Zhizhuo, Landt, Steve, Raha, Debasish, Euskirchen, Ghia, Wei, Chia-Lin, Ge, Weihong, Wang, Huaien, Davis, Carrie, Fisher-Aylor, Katherine I., Mortazavi, Ali, Gerstein, Mark, Gingeras, Thomas, Wold, Barbara, Sun, Yi, Cheung, Edwin, Liu, Edison, Sung, Wing-Kin, Snyder, Michael, Ruan, Yijun, Fullwood, Melissa Jane

“…Comparative analyses of different cell lines showed that cell-specific chromatin interactions could provide structural frameworks for cell-specific transcription, and suggested significant enrichment of enhancer-promoter interactions for cell-specific functions. …”
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Dynamic altruistic cooperation within breast tumors by Muhammad Sufyan Bin Masroni, Lee, Kee Wah, Lee, Victor Kwan Min, Ng, Siok Bian, Law, Chao Teng, Poon, Kok Siong, Lee, Bernett Teck Kwong, Liu, Zhehao, Tan, Yuen Peng, Chng, Wee Ling, Tucker, Steven, Ngo, Lynette Su-Mien, Yip, George Wai Cheong, Nga, Min En, Hue, Susan Swee Shan, Putti, Thomas Choudary, Bay, Boon Huat, Lin, Qingsong, Zhou, Lihan, Hartman, Mikael, Loh, Tze Ping, Lakshmanan, Manikandan, Lee, Sook Yee, Tergaonkar, Vinay, Chua, Huiwen, Lee, Adeline Voon Hui, Yeo, Eric Yew Meng, Li, Mo-Huang, Chang, Chan Fong, Kee, Zizheng, Tan, Karen Mei-Ling, Tan, Soo Yong, Koay, Evelyn Siew-Chuan, Archetti, Marco, Leong, Sai Mun

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Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…PINN offers an alternative to classical numerical methods. …”
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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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A Highly Linear Ultra-Low-Area-and-Power CMOS Voltage-Controlled Oscillator for Autonomous Microsystems by Pacheco, Javier de Mena, Palacios, Tomas, Hempel, Marek, Vallejo, Marisa Lopez

“…It is designed to minimize leakage, limit high peak currents and provide an output whose frequency variation is linear with the input voltage, while allowing rail-to-rail input range swing. The oscillator occupies 592 μm2 , operates in a frequency range from 43 to 53 Hz and consumes a maximum average power of 210 pW at a supply voltage of 1 V and 4 pW at 0.3 V. …”
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Improved lower bounds on book crossing numbers of complete graphs by Salazar, G., Pasechnik, Dmitrii V., De Klerk, Etienne.

“…A book with k pages consists of a straight line (the spine) and k half-planes (the pages), such that the boundary of each page is the spine. …”
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Design an online shopping website with virtual fitting room by Zhang, Xinyue

“…A website need to be user-friendly which includes readable text without requiring zoom, adequate space for tap targets and no horizontal scrolling. …”
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Study the effects of annulus fibrosus deficiency on spinal deformity using T7-T9 finite element model by Candy Sarah George

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Power-stage design for switched- mode DC-DC converter by Lim, Yong Siah

“…Simulation results at 5 MHz, 1.65 V output voltage, and 280mA output current show that our design achieves a 3% power-efficiency improvement as compared to that of a conventional full-swing method (with the same optimum tapering factor and the optimum sizing method). …”
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The Rise of Build to Rent in the UK / by Kilpatrick, Brendan, author 656149

“…The Rise of Build to Rent in the UK concludes with five highly illustrated UK case studies which evaluate the practical deliverability of real world BTR projects. …”
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A three dimensional kinematic method for determining the effectiveness of arm segment rotations in producing clubhead speed by Teu, Koon Kiat

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Investigating the genetics and immunopathogenesis of ankylosing spondylitis by Liu, F

“…<p>Ankylosing spondylitis is an immune-mediated inflammatory arthritis mainly affecting the spine, although the peripheral joints, skin, intestine, and eyes could also be affected. …”

Ghost Stories / by Poe, Edgar Allan, 1809-1849, author 324196, James, M. R., 1862-1936, (Montague Rhodes), 242996

“…Twenty-two exciting stories from the twilight world of haunted houses and hair-raising spectres are contained in this spine-chilling anthology. Each tale is illustrated with specially commissioned drawings.…”

A Machine Learning Based Approach to Reaction Rate Estimation by Johnson, Matthew S., Green, William H.

“…The accuracy of the algorithm is tested against the state of the art rate rules scheme in the RMG-database for five selected reaction families. The SIDT method is shown to significantly improve estimation accuracy across all reaction families and considered statistics. …”
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