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  3. 523

    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

    Published 2022
    “…Ward air exhaust filters were tested for SARS-CoV-2. Results: In total, there were 47 cases, comprising 29 patients, nine staff, six visitors and three household contacts. …”
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    Journal Article
  4. 524
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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.

    Published 2018
    “…Lower levels of phenylalanine, acetylhistidine, and cyclic adenosine monophosphate (cAMP) were found in urine samples of T2D subjects validated with commercial standards. Elevated levels of 5′-methylthioadenosine (MTA), which previously has only been implicated in animal model of diabetes, was found in urine of older people with T2D.…”
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    Journal Article
  11. 531

    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

    Published 2021
    “…Antiferromagnetic tetragonal FeTe with the Néel temperature (TN) gradually decreases from 70 to 45 K as the thickness declines from 32 to 5 nm. And ferromagnetic hexagonal FeTe is accompanied by a drop of the Curie temperature (TC) from 220 K (30 nm) to 170 K (4 nm). …”
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    Journal Article
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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

    Published 2024
    “…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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    Journal Article
  15. 535

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

    Published 2016
    “…The five heat sinks vary in their pin fin cross-section, with two common designs, the circular pin fin and rounded rectangular cross-section pin fin, and three novel designs which consist of a NACA-0024, a NACA-4424 and also a NACA-4424 rotated at a 5° angle of attack. …”
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    Final Year Project (FYP)
  16. 536

    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

    Published 2024
    “…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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    Journal Article
  17. 537

    Convective boiling and condensation in enhanced tubes produced by selective laser melting by Tan, Choon Yong

    Published 2018
    “…The design of the four tubes are five long circumferential pin fins, eight short circumferential pin fins, twisted pin fins and a metallic foam structure. …”
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    Final Year Project (FYP)
  18. 538

    Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

    Published 2024
    “…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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    Thesis
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