First nosocomial cluster of COVID-19 due to the Delta variant in a major acute care hospital in Singapore: investigations and outbreak response by Lim, Wei Yen, Tan, Glorijoy Shi En, Htun, Htet Lin, Phua, Hwee Pin, Kyaw, Win Mar, Guo, Huiling, Cui, Lin, Mak, Tze Minn, Poh, Bee Fong, Wong, Judith Chui Ching, Setoh, Yin Xiang, Ang, Brenda Sze Peng, Chow, Angela Li Ping

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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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Conserved longitudinal alterations of anti-S-protein IgG subclasses in disease progression in initial ancestral Wuhan and vaccine breakthrough Delta infections by Goh, Yun Shan, Fong, Siew-Wai, Hor, Pei Xiang, Siti Naqiah Amrun, Lee, Cheryl Yi-Pin, Young, Barnaby Edward, Chia, Po Ying, Tambyah, Paul A., Kalimuddin, Shirin, Pada, Surinder, Tan, Seow-Yen, Sun, Louisa Jin, Chen, Mark I-Cheng, Leo, Yee-Sin, Lye, David C., Ng, Lisa F. P., Renia, Laurent

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Cross-reactive dengue human monoclonal antibody prevents severe pathologies and death from Zika virus infections by Kam, Yiu-Wing, Lee, Cheryl Yi-Pin, Teo, Teck-Hui, Howland, Shanshan W., Siti Naqiah Amrun, Lum, Fok-Moon, See, Peter, Kng, Nicholas Qing-Rong, Huber, Roland G., Xu, Mei-Hui, Tan, Heng-Liang, Choo, Andre, Maurer-Stroh, Sebastian, Ginhoux, Florent, Fink, Katja, Wang, Cheng-I, Ng, Lisa F.P., Rénia, Laurent

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Clinical course, immunogenicity, and efficacy of BNT162b2 mRNA vaccination against SARS-CoV-2 infection in liver transplant recipients by Tan, Eunice X., Lim, Wen Hui, Thong, Elizabeth, Chavatte, Jean-Marc, Zhang, Jinyan, Lim, Jonathan, Jin, Jocelyn Y., Lim, Daniel R. X., Kang, Jaclyn Y. T., Tang, Ansel Shao Pin, Chan, Kai En, Tan, Caitlyn, Tan, Shi Ni, Nah, Benjamin, Huang, Daniel Q., Wang, Lin-Fa, Tambyah, Paul A., Somani, Jyoti, Young, Barnaby Edward, Muthiah, Mark D.

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Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus by Tam, Zhi Yang, Ng, Sean Pin, Tan, Ling Qiao, Lin, Chih-Hsien, Rothenbacher, Dietrich, Klenk, Jochen, Boehm, Bernhard Otto, Goh, Kelvin Kau Kiat, Suwanchaikasem, Pipob, Tipthara, Pornpimol, Koenig, W., Riepe, M., Peter, R., Geiger, H., Ludolph, A., Arnim, C. v., Denkinger, M. D., Yang, Song Yi, Nagel, G., Weinmayr, G., Rapp, K., Dallmeier, D., Steinacker, J. M., Laszlo, R., Becker, T., Stingl, J.

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Phase-controllable growth of ultrathin 2D magnetic FeTe crystals by Kang, Lixing, Ye, Chen, Zhao, Xiaoxu, Zhou, Xieyu, Hu, Junxiong, Li, Qiao, Liu, Dan, Das, Chandreyee Manas, Yang, Jiefu, Hu, Dianyi, Chen, Jieqiong, Cao, Xun, Zhang, Yong, Xu, Manzhang, Di, Jun, Tian, Dan, Song, Pin, Kutty, Govindan, Zeng, Qingsheng, Fu, Qundong, Deng, Ya, Zhou, Jiadong, Ariando, Ariando, Miao, Feng, Hong, Guo, Huang, Yizhong, Pennycook, Stephen J., Yong, Ken-Tye, Ji, Wei, Wang, Renshaw Xiao, Liu, Zheng

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The impact of death and dying on the personhood of medical students : a systematic scoping review by Ho, Chong Yao, Kow, Cheryl Shumin, Chia, Joshua Chin Howe, Low, Jia Ying, Lai, Melvin Yong Hao, Lauw, Sarah-Kei, How, Ashley Ern Hui, Tan, Lorraine Hui En, Ngiam, Lisa Xin Ling, Chan, Natalie Pei Xin, Kuek, Joshua Tze Yin, Nur Haidah Ahmad Kamal, Chia, Jeng Long, Ahmad Hanifah Marican Abdurrahman, Chiam, Min, Ong, Yun Ting, Chin, Annelissa Mien Chew, Toh, Ying Pin, Mason, Stephen, Krishna, Lalit Kumar Radha

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16.100 Aerodynamics, Fall 2002 by Darmofal, David L.

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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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Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

“…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
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Real time analysis of social behavior from video and kinect recordings by Ramasamy, Pandi Ramesh

“…Finally,analysis will be performed using pattern recognition algorithms and machine learning classifiers to detect the emotion of the subject.In this project,machine learning classifiers such as K-nearest neighbors,Naive Bayes and C4.5 Decision tree learning has been used. The prime aim is to pin point the most seemly machine learning classifier for obtaining highest accuracy for classification.…”
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Parametric study of gravure printing process for R2R printed electronics by Pua, Suan Tai

“…In this study, however, various printing parameters were investigated to establish their effects on printed line width and film thickness, in an attempt to achieve fine line printing resolution over a large printing area. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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Stress faced by executives in Singapore. by Par, Hwee Fong., Tan, Chin Ying., Thong, Hwei Ling.

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Challenges faced by women in the corporate world by Ang, Hui Jia, Sim, Jasmine Mei Yao, Yeo, Siew Hong

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Rapid process modeling of the aerosol jet printing based on gaussian process regression with latin hypercube sampling by Zhang, Haining, Moon, Seung Ki, Ngo, T. H., Tou, J., Bin Mohamed Yusoff, M. A.

“…Aerosol jet printing (AJP) technology is a relatively new 3D printing technology for producing customized microelectronic components due to its high design flexibility and fine feature deposition. However, complex interactions between machine, process parameters and materials will influence line morphology and remain a challenge on modeling effectively. …”
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Ultra wideBand indoor position localizaiton by Xu, Jun

“…It is specifically the case when line-of-sight (LOS) is absent due to severe blockage. …”
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